bioremediation 3.0 engineering pollutant-removing bacteria ... · biology, metabolic engineering,...

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Contents lists available at ScienceDirect Biotechnology Advances journal homepage: www.elsevier.com/locate/biotechadv Research review paper Bioremediation 3.0: Engineering pollutant-removing bacteria in the times of systemic biology Pavel Dvořák a , Pablo I. Nikel b , Jiří Damborský c,d , Víctor de Lorenzo a,a Systems and Synthetic Biology Program, Centro Nacional de Biotecnología (CNB-CSIC), 28049 Madrid, Spain b The Novo Nordisk Foundation Center for Biosustainability, 2800 Lyngby, Denmark c Loschmidt Laboratories, Centre for Toxic Compounds in the Environment RECETOX, Department of Experimental Biology, Faculty of Science, Masaryk University, 62500 Brno, Czech Republic d International Clinical Research Center, St. Anne's University Hospital, Pekarska 53, 656 91 Brno, Czech Republic ARTICLE INFO Keywords: Bioremediation Biodegradation pathway engineering Emerging pollutants Environmental biotechnology Systemic biology Metabolic engineering Systems biology Synthetic biology ABSTRACT Elimination or mitigation of the toxic eects of chemical waste released to the environment by industrial and urban activities relies largely on the catalytic activities of microorganismsspecically bacteria. Given their capacity to evolve rapidly, they have the biochemical power to tackle a large number of molecules mobilized from their geological repositories through human action (e.g., hydrocarbons, heavy metals) or generated through chemical synthesis (e.g., xenobiotic compounds). Whereas naturally occurring microbes already have con- siderable ability to remove many environmental pollutants with no external intervention, the onset of genetic engineering in the 1980s allowed the possibility of rational design of bacteria to catabolize specic compounds, which could eventually be released into the environment as bioremediation agents. The complexity of this endeavour and the lack of fundamental knowledge nonetheless led to the virtual abandonment of such a re- combinant DNA-based bioremediation only a decade later. In a twist of events, the last few years have witnessed the emergence of new systemic elds (including systems and synthetic biology, and metabolic engineering) that allow revisiting the same environmental pollution challenges through fresh and far more powerful approaches. The focus on contaminated sites and chemicals has been broadened by the phenomenal problems of anthro- pogenic emissions of greenhouse gases and the accumulation of plastic waste on a global scale. In this article, we analyze how contemporary systemic biology is helping to take the design of bioremediation agents back to the core of environmental biotechnology. We inspect a number of recent strategies for catabolic pathway con- struction and optimization and we bring them together by proposing an engineering workow. 1. Introduction Increasing pollution of air, soils, ground and surface waters con- stitutes a major threat to public health both in developing countries as well as in industrialized countries including EU states, the USA, India and China. The majority of contaminants that aect soils and waters are heavy metals and organic compounds such as mineral oil hydrocarbons, polyaromatic hydrocarbons, benzene derivatives, and halogenated hy- drocarbons. Many of organic polluting compounds for agricultural (the pesticides dichlorodiphenyltrichloroethane, atrazine, and penta- chlorophenol), industrial (solvents such as dichloroethane or dielectric uids such as polychlorinated biphenyls) or military use (explosives such as 2,4,6-trinitrotoluene) are xenobiotics of anthropogenic origin. There is also a spectrum of so-called emerging contaminants (Table 1), i.e., substances long present in the environment whose presence and negative eects have only recently been recognized (Petrie et al., 2015). The list can be further broadened with petroleum-derived plastics and some chemicals originally considered to be green, including certain types of bioplastics or ionic liquids (Amde et al., 2015). Despite the recalcitrant nature of some of these polluting compounds, many are more or less susceptible to biodegradation (Alexander, 1999). In addi- tion to these traditional causes of environmental deterioration, the re- cent decades have witnessed the onset of ramped-up levels of anthro- pogenic emissions of CO 2 and other greenhouse gases and their ensuing impact on climatic change. Whereas the chemicals themselves are simple (CO 2 , CH 4 ,N 2 O), the challenge here is less their biodegradation than their recapture in a non-gaseous form. The major entity that causes large-scale transformations in the biosphere are microorganisms and their metabolic pathways. Microbes degrade toxic chemicals via complete mineralization or co-metabolism, http://dx.doi.org/10.1016/j.biotechadv.2017.08.001 Received 4 June 2017; Received in revised form 1 August 2017; Accepted 4 August 2017 Corresponding author. E-mail address: [email protected] (V. de Lorenzo). Biotechnology Advances 35 (2017) 845–866 Available online 05 August 2017 0734-9750/ © 2017 Elsevier Inc. All rights reserved. MARK

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Page 1: Bioremediation 3.0 Engineering pollutant-removing bacteria ... · biology, metabolic engineering, and synthetic biology, for the sake of understanding and reprograming biological

Contents lists available at ScienceDirect

Biotechnology Advances

journal homepage wwwelseviercomlocatebiotechadv

Research review paper

Bioremediation 30 Engineering pollutant-removing bacteria in the times ofsystemic biology

Pavel Dvořaacuteka Pablo I Nikelb Jiřiacute Damborskyacutecd Viacutector de Lorenzoa

a Systems and Synthetic Biology Program Centro Nacional de Biotecnologiacutea (CNB-CSIC) 28049 Madrid Spainb The Novo Nordisk Foundation Center for Biosustainability 2800 Lyngby Denmarkc Loschmidt Laboratories Centre for Toxic Compounds in the Environment RECETOX Department of Experimental Biology Faculty of Science Masaryk University 62500Brno Czech Republicd International Clinical Research Center St Annes University Hospital Pekarska 53 656 91 Brno Czech Republic

A R T I C L E I N F O

KeywordsBioremediationBiodegradation pathway engineeringEmerging pollutantsEnvironmental biotechnologySystemic biologyMetabolic engineeringSystems biologySynthetic biology

A B S T R A C T

Elimination or mitigation of the toxic effects of chemical waste released to the environment by industrial andurban activities relies largely on the catalytic activities of microorganismsmdashspecifically bacteria Given theircapacity to evolve rapidly they have the biochemical power to tackle a large number of molecules mobilizedfrom their geological repositories through human action (eg hydrocarbons heavy metals) or generated throughchemical synthesis (eg xenobiotic compounds) Whereas naturally occurring microbes already have con-siderable ability to remove many environmental pollutants with no external intervention the onset of geneticengineering in the 1980s allowed the possibility of rational design of bacteria to catabolize specific compoundswhich could eventually be released into the environment as bioremediation agents The complexity of thisendeavour and the lack of fundamental knowledge nonetheless led to the virtual abandonment of such a re-combinant DNA-based bioremediation only a decade later In a twist of events the last few years have witnessedthe emergence of new systemic fields (including systems and synthetic biology and metabolic engineering) thatallow revisiting the same environmental pollution challenges through fresh and far more powerful approachesThe focus on contaminated sites and chemicals has been broadened by the phenomenal problems of anthro-pogenic emissions of greenhouse gases and the accumulation of plastic waste on a global scale In this article weanalyze how contemporary systemic biology is helping to take the design of bioremediation agents back to thecore of environmental biotechnology We inspect a number of recent strategies for catabolic pathway con-struction and optimization and we bring them together by proposing an engineering workflow

1 Introduction

Increasing pollution of air soils ground and surface waters con-stitutes a major threat to public health both in developing countries aswell as in industrialized countries including EU states the USA Indiaand China The majority of contaminants that affect soils and waters areheavy metals and organic compounds such as mineral oil hydrocarbonspolyaromatic hydrocarbons benzene derivatives and halogenated hy-drocarbons Many of organic polluting compounds for agricultural (thepesticides dichlorodiphenyltrichloroethane atrazine and penta-chlorophenol) industrial (solvents such as dichloroethane or dielectricfluids such as polychlorinated biphenyls) or military use (explosivessuch as 246-trinitrotoluene) are xenobiotics of anthropogenic originThere is also a spectrum of so-called emerging contaminants (Table 1)ie substances long present in the environment whose presence and

negative effects have only recently been recognized (Petrie et al2015) The list can be further broadened with petroleum-derivedplastics and some chemicals originally considered to be green includingcertain types of bioplastics or ionic liquids (Amde et al 2015) Despitethe recalcitrant nature of some of these polluting compounds many aremore or less susceptible to biodegradation (Alexander 1999) In addi-tion to these traditional causes of environmental deterioration the re-cent decades have witnessed the onset of ramped-up levels of anthro-pogenic emissions of CO2 and other greenhouse gases and their ensuingimpact on climatic change Whereas the chemicals themselves aresimple (CO2 CH4 N2O) the challenge here is less their biodegradationthan their recapture in a non-gaseous form

The major entity that causes large-scale transformations in thebiosphere are microorganisms and their metabolic pathways Microbesdegrade toxic chemicals via complete mineralization or co-metabolism

httpdxdoiorg101016jbiotechadv201708001Received 4 June 2017 Received in revised form 1 August 2017 Accepted 4 August 2017

Corresponding authorE-mail address vdlorenzocnbcsices (V de Lorenzo)

Biotechnology Advances 35 (2017) 845ndash866

Available online 05 August 20170734-9750 copy 2017 Elsevier Inc All rights reserved

MARK

in aerobic or anaerobic conditions Advantageous properties such assmall genome size relative simplicity of the cell short replicationtimes rapid evolution and adaptation to the new environmental con-ditions made microbes and particularly bacteria favourable candidatesfor bioremediation technologies that is in situ or ex situ removal ofpolluting chemicals from the environment using biological agents Theremoval of environmental pollution caused by the extensive activities ofindustrial society is a serious topic that draws the attention of bio-technologists This is because beyond the medical and environmentalconsequences the situation signs considerable potential for growth ofeco-industry focused on clean-up technologies and removal of en-vironmental contaminants In fact valorization of waste chemicals ac-cumulating in industry is one of the pillars of the circular economy andthe 4th Industrial Revolution (Schmidt 2012 Wigginton et al 2012)

The earliest attempts at directed bioremediation although not for-malized as such at the time dated back to the late 19th century with theorigins of the first wastewater treatment plants (Litchfield 2005)Bioremediation began in earnest some 45 years ago with the isolation ofculturable bacteria from contaminated sites and studying their de-gradation pathways The first report on enhanced in situ bioremediationof soil contaminated with peroleum-derived hydrocarbons was pub-lished in 1975 by Raymond et al (1975) Natural microbial degraderswere later applied with success in world-wide and local biotechnolo-gical processes including large-scale wastewater denitrification ur-anium removal and degradation of 12-dichloroethane from ground-water or the organophosphorus pesticide coumaphos from cattle-dipwaste (Francis and Mankin 1977 Lovley et al 1991 Mulbry et al1998 Stucki and Thueer 1995) The advent of technologies for pollu-tant removal using naturally emerging microorganisms could be calledthe era of Bioremediation 10 Even so a number of specific chemicalsespecially of anthropogenic origin including persistent organic pollu-tants such as dichlorodiphenyltrichloroethane (DDT) tri-chloroethylene 123-trichloropropane some polychlorinated biphe-nyls (PCB) or dioxins continued to be resistant to naturalbiodegradation due to lack of efficient microbial catabolic traits whoseevolution was not sufficiently rapid or ended in a deadlock (Janssenet al 2005)

Initial discoveries in molecular biology and progress in biologicalengineering disciplines seemed to provide a partial solution for suchchallenges through rational interventions in the metabolic networks ofselected microbial hosts The rise of recombinant DNA technology al-lowed the transformation of bioremediation from empirical practiceinto an excercise in genetic engineering giving rise to what we mightterm Bioremediation 20 The goal of the new field was to engineerwhole microbes their biodegradation pathways and the correspondingenzymes towards in situ mineralization of target pollutants Such

superbugs were expected to provide an economically feasible en-vironmentally friendly alternative to the costly conventional technol-ogies for pollutant removal available at the time (Ramos et al 2011)The late 1980s and early 1990s represented the golden era of biode-gradation research with numerous engineering attempts following thepioneering work by Chakrabarty and co-workers (Kellogg et al 1981)They described the preparation of recombinant Pseudomonas putidastrains able to break down crude oil by the plasmid-assisted molecularbreeding that is propagation of novel catabolic capabilities throughdirected bacterial conjugation and plasmid transfer The persistence ofmany xenobiotics was attributed mainly to the absence of completedegradative pathways in a single organism (Brenner et al 1994Reineke and Knackmuss 1979) Recruitment of complementary en-zyme sequences by conjugative gene transfer and so called patchworkassembly of several existing natural pathways in a suitable host wasbelieved to generate functional synthetic routes that would allow forthe complete mineralization of persistent target compounds such asPCB (Lehrbach et al 1984 Ramos et al 1987 Rojo et al 1987)

Despite some success with the patchwork strategy and engineering ofsuperbugs with extended substrate scope in laboratory conditions thisinitial and rather naiumlve approach led to many disappointments as well(Cases and de Lorenzo 2005 de Lorenzo 2009) A prominent examplewas the case of engineered Pseudomonas strains that did not grow on 2-chlorotoluene as the only carbon source even though they possessed allthe genetic components presumed necessary for substrate mineraliza-tion (Haro and de Lorenzo 2001) From a contemporary perspectivesuch failures can be explained by lack of insight into important factorssuch as (i) thermodynamic feasibility of assembled catabolic networks(ii) kinetic characteristics of enzymes and physicochemical propertiesof metabolites (iii) expression levels of pathway modules (iv) cross-talk between exogenous and endogenous metabolic routes and (v)stress responses and changes in overall host cell physiology after in-troduction of new metabolic modules and exposure to toxic substratesand metabolites (de Lorenzo 2009 Ramos et al 2011)

Fortunately the last decade has witnessed the onset of what can becalled systemic biology which merges different approaches of systemsbiology metabolic engineering and synthetic biology for the sake ofunderstanding and reprograming biological systems Systemic biologyhas the potential to remove the unknowns and bottlenecks encounteredin past trials and paves the way towards the era of Bioremediation 30The joint power of the systemic biology disciplines can ensure thatbiodegradation and bioremedation using genetically modified micro-organisms will remain a vital concept deserving of the full attention ofnew generations of bioengineers

In this article we review the applications of novel engineeringstrategies to the design and evolution of microbial biodegradation

Table 1Emerging contaminantsSources httptoxicsusgsgov httpwwweugrisinfo (Petrie et al 2015)

Groups of products Classes of chemicals Examples

Human and veterinarypharmaceuticals

Antibiotics anti-parasitic agents ionophores Amoxicillin erythromycin metronidazol tetracycline lincomycinsulfathiazole

Stimulants and drugs including anti-inflammatory anti-diabeticanti-epileptic anti-hypertensive or anti-cancer drugsanticoagulants hallucinogens analgesics β-blockers anti-depressants lipid regulators or erectile dysfunction drugs

Amphetamine cocaine caffeine nicotine propranolol ibuprofencodeine carbamazepine bezafibrate metformin fluoxetine warfarinevalsartan tramadol morphine methandone diazepam ephedrinetamoxifen

Hormones including natural and synthetic estrogens androgens Estrone estriol testosterone progesterone mestranol (ovulationinhibitor) cholesterol

Industrial and householdwastewater products

Insecticides plasticizers detergents flame retardants polycyclicaromatic hydrocarbons antioxidants solvents disinfectantsfumigants fragrances preservatives

Carbaryl chlorpyrifos diethylphtalate p-nonylphenol tri(2-chloroethyl)phosphate naphtalene anthracene 26-di-tert-butylphenol123-trichloropropane phenol 14-dichlorobenzene acetophenone

Personal care products Insect repellents polycyclic musks sunscreen agents fragrancesantiseptics

Bisphenol A 1-benzophenone methylparaben NN-diethyltoluamidetriclosan

Nanomaterials Miscelaneous Nanosilver alumina nanoparticles titanium dioxide fullerenes carbonblack

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846

pathways and whole-cell degraders from the last decade and proposean optimal workflow for pathway design construction and optimiza-tion In particular we discuss the potential of state-of-the-art systemictechnologies not yet fully employed for this purpose including newways to genetically engineer superior CO2 scavengers Lastly the per-spectives of microbial cell factories tailored for biodegradation andbioremediation are critically evaluated

2 Approaches and tools of systems biology and metabolicengineering for tailoring biodegradation pathways

One key objective of systems biology is to gain comprehensivequantitative understanding of living cells by combining high-throughput technologies and computational methods to characterizeand predict cell behaviour (Dai and Nielsen 2015) Metabolic en-gineering first defined as a new scientific discipline by Bailey (1991) isnow understood as the practice of optimizing genetic and regulatoryprocesses within the cells to (i) improve the yield and productivity ofnative products synthesized by organisms (ii) establish the synthesis ofproducts new to the host cell and two points especially relevant forbiodegradation to (iii) extend the range of substrates or improve sub-strate uptake and (iv) improve overall cell robustness (Nielsen et al2014) These goals can be achieved by engineering natural metabolicpathways in the host cell or synthetic routes assembled from enzymesoriginating from different organisms The aims of systems biology co-incide fully with the objectives of metabolic engineering These twodisciplines are now inseparable complement each other and have evenmerged into a field of systems metabolic engineering (Lee et al 2012)Metabolic engineers use systems biology computational tools and lsquoomicrsquotechniques to gain deeper insight into the genetic and physiologicalbackground of target organisms to model enzymatic reactions and todetermine the constraints for efficient biocatalysis To overcome theseconstraints computational tools are applied together with establishedexperimental protocols now frequently strengthened with syntheticbiology standards and fine-tuning adaptive laboratory evolution TheDesign-Build-Test-Analyze (DBTA) cycle is repeated until performance ofthe engineered cell factory is optimized and a cost-effective process canbe established (Paddon and Keasling 2014) It is tempting and logicalto use the same intellectual workflow to engineer biodegradationpathways (Fig 1) The portfolio of systems metabolic engineering toolsapplicable for such purposes will be discussed in more detail in theSection 2 of the review

21 Step 1 get to know the contaminant and find a suitable catabolicpathway

The compound to be degraded or removed from the contaminatedenvironment or industrial waste site is usually the very first componentknown in a project focused on biodegradation or bioremediation Thepolluting chemicals show diverse physicochemical properties can oc-cupy heterogenous physical niches in the environment and exist inconcentrations ranging from ngL to mgL (Meckenstock et al 2015)Industrial waste chemicals prohibited pesticides or warfare agentssuch as 123-trichloropropane γ-hexachlorocyclohexane or yperiterespectively can be available for degradation as stock piles or mixedwith environmental matrix When bioremediation is a method of choicefor removal of the target compound another challenge arises how tofind the most suitable pathway for degradation and ideally completemineralization of the chemical in the huge amount of genetic bio-chemical and microbiological data available As pointed out by Nobellaureate Sydney Brenner we are currently ldquodrowning in a sea of datathirsting for knowledgerdquo New computational tools and algorithmscombined with common sense are the only way to cope with thecomplexity of life find the needle in a haystack and obtain valuableoutput ndash the natural or synthetic pathway or set of pathways mostsuitable for a specific biodegradation task in a selected microbial host

Computational tools can provide the user with relevant information onphysicochemical properties of the target compound and the basicbuilding blocks of the catabolic pathway ndash enzymes and metabolites Awide spectrum of databases and prediction systems that provide usefulinformation on a number of chemicals and biodegradative or biosyn-thetic routes has been developed over the years Comprehensive re-views that focus on evaluation of computational tools mainly for bio-synthetic pathway design have been published in the last few years(Long et al 2015 Medema et al 2012) Chemical and biodegradationdatabases as well as pathway and toxicity prediction systems that mightbe useful for evaluating existing biodegradation pathways or en-gineering new ones were reviewed by Arora and Bae (2014) To avoidduplication here we aim to discuss mainly the updates and applicationsof representative systems for biodegradation pathway design

211 DatabasesThe University of Minnesota BiocatalysisBiodegradation Database

and Pathway Prediction System (UM-BBDPPS) is a remarkable toolthat has garnered microbial pathways for xenobiotics for over 20 yearsand can be considered an advisable first-choice search engine (Gaoet al 2010) In 2014 UM-BBDPPS rights were assigned to Eawag theSwiss Federal Institute of Aquatic Science and Technology and the da-tabase got a new name EAWAG-BBDPPS EAWAG-BBD (httpeawag-bbdethzch) can not only search through 543 microorganism entries219 metabolic routes 1503 reactions 1396 chemicals and 993 en-zymes but also allows prediction of novel biotransformations leadingfrom target xenobiotic substrate to the molecule that can be metabo-lized by central catabolic pathways of a host cell The enviPath tool(The Environmental Contaminant Biotransformation Pathway Re-source httpsenvipathorg) was recently introduced as a rebuiltversion of EAWAG-BBDPPS (Wicker et al 2016) Registered user canemploy enviPath for design of particular biochemical routes and per-sonal databases with biotransformation data as well as for prediction ofnew catabolic pathways In 2017 the same team introduced a newdatabase implanted in enviPath platform Eawag-Soil (Latino et al2017) This public database is a unique repository of data collectedduring laboratory simulations on aerobic degradation of pesticides insoil including biotransformation half-lifes

Although they provide access to much more data in addition tobiodegradation pathways and related content MetaCyc and BioCycdatabases by SRI International should be mentioned as well (Caspiet al 2016) With its 2526 experimentally elucidated pathways from2844 different organisms from all domains of life MetaCyc (httpsmetacycorg) is one of the largest repositories of metabolism data andserves primarily as an on-line encyclopedia in which metabolic routescan be predicted from available sequenced genomes browsed throughor mutually compared The majority of listed compounds and reactionsnow also include the Gibbs free energy values (Caspi et al 2016)BioCyc (httpsbiocycorg) is a collection of 9389 organism-specificPathwayGenome Databases (PGDB the number tripled in the lastthree years) Each PGDB encompasses the sequenced genome andpredicted metabolic network of single organism Moreover informationon individual components such as predicted operons metabolites en-zymes and their reactions or transport systems is provided (Caspi et al2016) BioCyc also provides several useful tools for navigating visua-lizing and analyzing the PGDB and for analyzing omics data BothMetaCyc and BioCyc are linked to numerous other databases UniProt(wwwuniprotorg) a collaboration between the European Bioinfor-matics Institute the SIB Swiss Institute of Bioinformatics and the Pro-tein Information Resource supplies missing information on functionsequence or taxonomy of proteins from metabolic or signalling path-ways and is further interconnected with more specific protein databasessuch as RCSB Protein Data Bank or BRENDA thus completing the pic-ture with structural or kinetic data (Berman et al 2000 Chang et al2015 UniProt Consortium 2015)

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847

212 Pathway prediction systems and toxicity prediction algorithmsThe development of reliable pathway prediction systems is of major

importance for the field of biodegradation as for the numerous an-thropogenic chemicals released into the environment the catabolicpathways are either completely unknown or poorly understood Thesetools consider many factors including substrate specificities bindingsites or reaction mechanisms of enzymes structural changes in sub-strate-product pairs and pathway distance from substrate to product(Medema et al 2012) The pathway prediction system of EAWAG-BBDPPS or enviPath predicts biodegradation routes based on avail-able biotransformation rules derived from reactions found in theEAWAG-BBD database or in the literature (Gao et al 2010 Wickeret al 2016) It can highlight initiating reaction types likely to occur inaerobic environments which in some cases lead to the complete mi-neralization of the contaminant (Fig 2) although it does not define thethermodynamic feasibility of the proposed pathways or the specificenzymes that catalyse proposed reactions This latter information canbe supplemented by the complementary prediction algorithm of a newpublic database RAPID (httprapidumnedurapid) currently beingdeveloped by the group of Lawrence P Wackett at University of Min-nesota The idea of future utility of combined EAWAG-BBD and RAPIDalgorithms was provided recently by Aukema and co-workers who usedthese tools to predict initial metabolism of a set of emerging con-taminants that include recalcitrant pharmaceuticals alkyl phthalatesor fragrance compounds previously shown to be degraded by Para-burkholderia xenovorans LB400 (Aukema et al 2016)

In case of anthropogenic contaminants with unknown or un-complete natural catabolic pathways the Biochemical NetworkIntegrated Computational Explorer (BNICEch) can be recommended aswell (Hatzimanikatis et al 2005) The authors from the Vassily Hat-zimanikatis group at the Swiss Federal Institute of Technology havebeen developing BNICEch one of the first tools for uncovering anddescribing new enzymatic reactions based on known biochemistryforgt 15 years In the latest version the method was coupled with amanually-curated KEGG database generally recognized as one of themost complete repositories of metabolic data (Kanehisa et al 2014)The catalogued biochemistry of the KEGG database was converted into361 bidirectional generalized rules which were applied to explore thepossible space of all metabolic reactions that link the compounds re-ported in the KEGG and are potentially found in nature (Hadadi et al2016) As a result 6528 KEGG reactions and 137416 known or com-pletely new enzymatic reactions between two or more KEGG com-pounds were organized in a reaction web-based database named ATLASof Biochemistry (httplcsb-databasesepflchatlas) Importantly thethermodynamic feasibility of de novo generated reactions was evaluatedand the parameter of Gibbs free energy is a part of the majority ofrecords in the ATLAS database To the benefit of the reaction predictionsystem according to authors up to 80 of the newly added KEGGreactions in 2015 already existed in ATLAS as novel reactions

In biodegradation pathway design BNICEch was first used byFinley and co-workers to propose all possible catabolic routes for 4-chlorobiphenyl phenanthrene γ-hexachlorocyclohexane and 124-

Fig 1 Proposed workflow for engineering biodegradation pathways using systemic biology approaches and tools The Figure sketches the roadmap to contructing superior bacterialcatalysts for environmental bioremediation that capitalize on systems and synthetic biology as explained in this review

P Dvořaacutek et al Biotechnology Advances 35 (2017) 845ndash866

848

trichlorobenzene (124-TCB) compounds that represent various classesof xenobiotics (Finley et al 2009) BNICEch not only reproduced theexperimentally verified pathways but also found completely novel re-actions taking into account the starting compound the requestedlength of the pathway and the broader reaction rules of the EnzymeCommission classification system The 15 novel pathways for 124-TCBwere subsequently probed using thermodynamic analysis and foundenergetically feasible In the follow-up study the authors evaluated thenew routes in the context of Pseudomonas putida KT2440 cellular me-tabolism (Finley et al 2010) They expanded the available P putidametabolic model by including the pathways obtained from BNICEchand metabolic flux analysis was used to predict the maximum biomassgenerated using 124-TCB as the sole carbon source In this way in-teresting alternative pathways were proposed that couple 124-TCB

utilisation with biomass formation Although this work was purelytheoretical it suggests the way for those who wish to use the increasingpower of computational modelling to design biodegradation routes orexplore the fate of xenobiotics in the environment

Prediction tools for assisting the design of robust microbial bio-sensors are highly desirable as well Such biosensors are often based onregulatory proteins or riboswitches able to translate the presence of agiven metabolite or small molecule into a readily measurable readout(Gredell et al 2012 Schallmey et al 2014 Cardinale et al 2017) Butwhat to do when biosensors for a compound of interest do not exist Aninteresting approach to tackle the issue was presented recently byDeleacutepine et al (2016) Their SensiPath algorithm (httpsensipathmicalisfr) stems from the concept of retrosynthesis introduced pre-viously by the same laboratory (Carbonell et al 2014) SensiPath

Fig 2 Initial aerobic biotransformations of theemerging contaminant 123-trichloropropane(TCP) generated by the EAWAG-BBD PathwayPrediction System Reactions are tagged with oneof the 249 biotransformation rules used for thepredictions Reactions proven experimentally tobe catalysed by haloalkane dehalogenase DhaAepoxide hydrolase EchA and halohydrin dehalo-genase HheC in aerobic conditions are high-lighted with thick arrows (Bosma et al 1999)The scheme was adopted and modified fromhttpeawag-bbdethzchpredict Aerobic like-lihood specifies whether the reaction will occur inaerobic conditions exposed to air in soil (mod-erate moisture) or water at neutral pH 25 degCwith no competing compounds AbbreviationsDCP 23-dichloropropane-1-ol ECH epi-chlorohydrin CPD 3-chloropropane-12-diolGDL glycidol

P Dvořaacutek et al Biotechnology Advances 35 (2017) 845ndash866

849

applies more than 9000 unique reaction rules collected from BRENDAMetacyc and Rhea (Morgat et al 2015) databases to find enzymes(currently limited to max two-step reactions) able to convert a targetundetectable organic chemical into a molecule that can be recognizedby a known natural sensing system In the theoretical part of the follow-up study the authors applied SensiPath to expand the range of therebydetectable compounds among chemical structures collected from sev-eral databases (Libis et al 2016) The method almost tripled (from 169to 477) the number of theoretically detectable compounds in theTOX21 database (Krewski et al 2009) The predictive power of themethod was validated in the experimental part of the study Metabolicmodules of up to two enzymes proposed by SensiPath were introducedinto E coli bearing a sensing module for the product of enzymaticconversion at stake Functional whole-cell biosensors for cocaine ni-troglycerin or parathion were constructed in such way Despite thisremarkable contribution the number of undetectable organic chemicalsremains at a highgt 94 of all compounds in TOX21 databaseStrengthening the computational power of tools such as SensiPath willhopefully improve the situation in the near future

The predicted reaction networks can also be pruned using toxicityestimation algorithms to prevent the formation of compounds highytoxic to the host (Benfenati 2007) Besides quantitative structure ac-tivity relationship (QSAR) models which calculate toxicity based on thephysical characteristics of the chemical structures (molecular de-scriptors Eriksson et al 2003) other models have recently been de-veloped to predict toxicity based for example on chemical-chemicalinteractions (Chen et al 2013) QSAR models nonetheless remain theparadigm in the field An interesting example of a QSAR model-basedcomputational tool (httpsabsynthissbgenopolefrBioinformatics)is the toxicity prediction web server EcoliTox (Planson et al 2012)The dataset obtained from screening a diversified chemical library of166 compounds for toxicity in Escherichia coli was used to develop apredictor of toxicity of metabolites throughout the metabolome of thispopular bacterial host Tools similar to the EcoliTox server could beintegrated into a computational framework for improved design ofnative or heterologous biodegradation pathways and used to fine-tunetheir expression in selected microbial hosts A powerful virtualscreening approach currently applied predominantly in drug designstudies (Buryska et al 2016) could be used similarly for syntheticpathway predictions to avoid selection of enzymes whose catalyticmachinery might be inhibited by molecules present in a host cell

213 Detection and quantification of pathway building blocksOnce the suitable pathway is selected another issue arises that of

how to detect and quantify the pathway building blocks - metabolitesand enzymes Detection and accurate quantification of metabolites incomplex reaction mixtures and of functional enzymes produced withinthe cell provide valuable information on pathway performance and itsbottlenecks as well as a background for further optimization of theroute Here the experimental tools and approaches come into play forthe first time in our workflow scheme (Fig 1) The best sensitivity andseparation power is currently provided by chromatographic separationof metabolites followed by mass spectrometry analysis (Buumlscher et al2009) Information on physicochemical properties of compounds(boiling point polarity molecular weight) generated in the pathway isnonetheless crucial for correct choice of a detection method be it gaschromatography liquid chromatography or capillary electrophoresis(Buumlscher et al 2009) Of the numerous chemical databases PubChem(httpspubchemncbinlmnihgov) created in 2004 by the US Na-tional Institutes of Health is the worlds largest free chemistry re-pository into which anyone can deposit data on structures and theirproperties (Kim et al 2016) The database has grown togt 92 millionstructures Bioactivity data of chemical substances manually with-drawn from the scientific literature are saved in PubChem Substanceand Compound databases Integration with other databases allows in-cluding pharmacology toxicology drug target information safety or

handling information to the annotation of chemical records PubChemalso hosts data from important regulatory agencies including the USEnvironmental Protection Agency In 2007 another free repositoryChemSpider (httpwwwchemspidercom) was created and laterpurchased by the UK Royal Society of Chemistry it provides access toover 59 million entries from 487 diverse data sources and can be re-commended as another rich source of knowledge on experimental orpredicted physicochemical properties of compounds

For pathway enzyme detection and absolute quantification SDS-PAGE or better Western blot analysis followed by determination ofenzyme activity have been standard protocols in metabolic engineeringfor many years (Kurumbang et al 2014) When applied to multiple-enzyme pathways however these methods are tedious and time-con-suming Selected Reaction Monitoring Mass Spectrometry protocolsdeveloped in the past few years seem to provide a promising alternativefor absolute protein quantification in the future as they allow rapidsimultaneous quantification of many proteins in the cell with goodselectivity and sensitivity regardless of organism of origin (Batth et al2012)

22 Step 2 select and get to know a suitable microbial host

In addition to catabolic pathway choice or design the selection of asuitable host is a crucial initial step in any engineering project focusedon the development of a whole-cell degrader Over the years severalmicrobial hosts have been considered for application in biodegradationprocesses but no single naturally isolated bacterial strain possesses allthe desired characteristics of the optimal degrader Soil bacteria couldsatisfy many of these requirements because of the conditions they facenaturally in the niches in which they thrive including exposure toenvironmental contaminants and to competing and predatory speciesThese microorganisms have versatile metabolic lifestyles that allowthem to adapt to changing conditions sometimes adverse (oxidativestress temperature challenges osmotic perturbations) P putida is aubiquitous rhizosphere colonizer that belongs to the wide (if somewhatfuzzy) group of fluorescent Pseudomonas P putida KT2440 is the best-characterized saprophytic laboratory pseudomonad that has retained itsability to survive and thrive in the environment Its entire chromosomesequence is available since 2002 (Belda et al 2016 Nelson et al 2002Nikel et al 2014) This strain derives from P putida mt-2 a naturallyoccurring species able to degrade several aromatic compounds throughthe activities encoded in the catabolic TOL plasmid The physiologicaland metabolic properties of pseudomonads argue for their selection asthe starting point for engineering of biodegradation processes In ad-dition to rapid growth and low nutrient demand their extremely ver-satile metabolism and high capacity to supply redox power providingendurance to oxidative stress are several advantages that render Pputida an interesting host for degradation applications (Nikel et al2016a) Most of these properties arise from a very robust central me-tabolism (Fig 3) in which the combined activity of enzymes fromdifferent pathways (ie the EDEMP cycle Nikel et al 2015) endowsthe cells with a large NADPH supply (Chavarriacutea et al 2013) The op-erativity of the EDEMP cycle enables the formation of ATP and NADPHat different rates depending on the amount of trioses phosphate re-cycled Assuming that P putida has (i) a NAD+ dependent glycer-aldehyde-3-P dehydrogenase and a NADP+ dependent glucose-6-P de-hydrogenase (ii) pyruvate as the end product of glycolytic pathwaysand (iii) a negligible flux through 2-ketogluconate the yields of pyr-uvate ATP and NADPH are as indicated in the inset to Fig 3 Theability to sustain high NADPH formation rates is a requisite needed in abacterial host for the implantation of biodegradation pathways(Lorenzo and Loza-Tavera 2011) As will be shown in part in followingsections these beneficial properties are reflected in the increasingnumber of metabolic engineering studies in which P putida appears asone major player

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221 Omics techniques in studies of bacterial degradersSystems biology and particularly lsquoomicrsquo techniques contributed

markedly to rational selection of suitable hosts for metabolic en-gineering The enormous amount of genetic information read with first-or next-generation sequencing techniques together with powerful newalgorithms and computational tools to aid with data mining allowedconsiderable progress in our understanding of dynamic interactionsinside and in between cells and the environments they inhabit(Bouhajja et al 2016 Vilchez-Vargas et al 2010) Available genomicdata also enabled new insights into the evolution of microbial meta-bolism towards biodegradation of well-recognized xenobiotics such as135-triazine (Shapir et al 2007) 16S rRNA-phylogenetic microarraysand the functional gene microarrays have been used to monitor mi-crobial community dynamics and to track activities of microbes in thepolluted environments respectively (Chakraborty et al 2012) Thereconstructed genome-scale metabolic models together with tran-scriptomic proteomic metabolomic and flux analyses in variousgrowth and stress conditions completely changed our view of popularbiodegradative bacterial hosts including the paradigmatic P putida(Sohn et al 2010)

For instance fluxomic analyses applied to P putida KT2440 helpedto reveal its distinct strategies for dealing with carbon sources eg byfavouring the routes that generate NADPH which promotes greaterresistance to oxidative stress (Chavarriacutea et al 2013 Nikel et al 2013)Examination of transcriptomic data uncovered the significant portion ofthe P putida genome (ge20) that is differentially expressed when thecells are grown on diverse substrates and emphasized the role of a suiteof global regulators (J Kim et al 2013) Recent complete structural re-annotation of the KT2440 strain genome allowed identification of 1485

CDSs associated to 1898 chemical reactions prediction of catabolicpathways for 92 compounds (carbon nitrogen and phosphorussources) and upgrading of the available genome-scale metabolic model(Belda et al 2016 Puchałka et al 2008) lsquoOmicrsquo analyses greatly in-creased insight into the genetic and physiological background of someother pseudomonads besides KT2440 including P pseudoalcaligenesCECT5344 which might be used for biodegradation of industrial cya-nide-containing wastes or the 246-trinitrotoluene biotransforming Pputida JLR11 (Pascual et al 2015 Wibberg et al 2016) At the time ofwriting this article there are 3133 drafted and 215 completed Pseu-domonas genomes currently available in the Pseudomonas Genome Da-tabase (httpwwwpseudomonascom) perhaps the most compre-hensive genomic database dedicated to a single bacterial genus (Winsoret al 2016)

Complete genomic sequences are currently available for many otherpotentially useful degraders such as Cupriavidus necator JMP134 abacterium with nearly 300 genes involved in the catabolism of aro-matics including chloroaromatics (Lykidis et al 2010) Other ex-amples include but are not limited to the PCBs-degrading Acidovoraxsp strain KKS102 (Ohtsubo et al 2012) the cyclic hydrocarbons-de-grading Alicycliphilus denitrificans strains BC and K601 (Oosterkampet al 2013) or the oil-degrading bacterium Oleispira antarctica whosegenome has provided useful information as to how bacteria mitigate oilspills in cold environments (Kube et al 2013) Genomic sequences ofthese and many other microorganisms with biodegradation capabilitiescan be searched through in comprehensive databases such as NCBIgenome database (httpswwwncbinlmnihgovgenome) or Micro-Scope (httpwwwgenoscopecnsfragcmicroscopehome) a mi-crobial genome annotation and analysis platform (Vallenet et al2016) developed in the Laboratory of Bioinformatics Analyses forGenomics and Metabolism at the National Sequencing Centre (EvryFrance) it provides a complete pipeline for annotations and compara-tive analyses of up to 6000 microbial genomes of which hundreds weremanually curated for accuracy

Despite interest in study of individual bacterial species the fasci-nating in situ systems biology exercise that followed one of the mostalarming ecological disasters in modern human history the 2010 BPDeepwater Horizon spill in the Gulf of Mexico emphasized the irre-placeable role of bacterial communities in natural bioremediationBacteria that can convert oil-derived alkanes and aromatics into thebiomass were identified based on (i) genome reconstructions via me-tagenome sequencing of the DNA from the stable-isotope-probing ex-periments (Dombrowski et al 2016) and (ii) cultivation trials using oilsamples from sea surface and deep sea collected during the outflow(Gutierrez et al 2013) Only the concerted action of many microbialspecies including Cycloclasticus Alcanivorax members of Rhodospir-illales Alteromonas and others augmented by the specific environmentof the oil spill allowed the degradation of the complex mixture thatconsisted of as many as 1000 compounds Metagenomic strategies helpto shed light also on the composition and dynamics of microbial con-sortia that participate in natural biodegradation of chorinated ethenesin contaminated groundwater (Adetutu et al 2015) or polycyclic aro-matic hydrocarbons in soils (Guazzaroni et al 2013)

23 Step 3 build the pathway and optimize its performance in the contextof host metabolism

Optimization of the proposed biochemical pathway in the context ofhost cell metabolism is often the most demanding part of the en-gineering project This is especially true for de novo synthetic pathwayscomposed of enzymes from different sources implanted into a newbacterial host Codon composition of introduced genes might not beoptimal for expression in a heterologous host enzyme activities mightnot be well balanced or might cross-talk with the native metabolicnetwork pathway intermediates can accumulate and inhibit the growthof cells or cofactors ATP or redox carriers might be lacking The

Fig 3 The action of the EDEMP cycle is illustrated with a theoretical example of fluxdistribution in glucose-grown P putida KT2440 Total carbon uptake is considered to be100 (arbitrary units) and glucose can be split into the phosphorylative (Glk) or oxidative(x) branches The net formation rates (v) of pyruvate (Pyr) ATP and NADPH are in-dicated in the inset table with r representing the amount of triose phosphates recycled tohexose phosphates through the action of the EDEMP cycle Note that part of the glucosecan also be oxidized through the action of the so-called peripheral reactions represented bythe overall flux x in the scheme and that two trioses are formed per glucose consumedie a glucose uptake flux of 100 (arbitrary units) will result in a pyruvate flux of 200Abbreviations ED pathway EntnerndashDoudoroff pathway EMP pathwayEmbdenndashMeyerhofndashParnas pathway PP pathway pentose phosphate pathway G6Pglucose-6-P F6P fructose-6-P FBP fructose-16-P2 DHAP dihydroxyacetone-P GA3Pglyceraldehyde-3-P 6PG 6-phosphogluconate KDPG 2-keto-3-deoxy-6-phosphogluco-nate 2KG 2-ketogluconate and 2K6PG 2-keto-6-phosphogluconate Figure adapted andmodified from (Nikel et al 2016a)

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portfolio of systemic tools that can help overcome these issues is ex-panding constantly Here we will center on the major concepts thathave proven useful in tailoring biodegradation pathways and microbialdegraders We will discuss the application of several of these moderntools including the example of engineering the synthetic catabolic routefor 123-trichloropropane (TCP Fig 2) an industrial byproduct ofanthropogenic origin now being recognized as a groundwater con-taminant (Samin and Janssen 2012) TCP is representative of difficult-to-degrade halogenated aliphatic compounds a tough case for re-mediation technologists due to its physicochemical properties toxicityin living organisms and absence of efficient natural catabolic pathway(Janssen et al 2005 Samin and Janssen 2012) The enzymes laterused to compose the first synthetic pathway that allowed mineraliza-tion of TCP by an engineered bacterium had already been described inthe late 1980s and early 90s (Bosma et al 1999) With a historyspanninggt 25 years the engineering of this biodegradation pathwaythus represents one of the most systematic efforts of its kind

231 Computational tools for pathway and strain optimizationThe tremendous increase in the number of sequenced genomes (the

number of complete genomes in the NCBI database has more thandoubled in the last two years) of unicelluar and multicellular organ-isms including the microbial degraders mentioned above led to thereconstruction of genome-scale metabolic models representing all(anotated) biochemical reactions that take place in the living cell (Kinget al 2015) Mathematical models of metabolic networks have a cen-tral role in metabolic engineering and in pathway and strain optimi-zation Modelling can be used to analyze the selected pathway (eg todetermine the distribution of metabolic fluxes) and identify reactionsthat must be modified to improve its performance Genome-scale me-tabolic models are built by compiling data on genes related to bio-chemical reactions from databases such as KEGG and BioCyc The genesare compared to already finalized reconstructions of related organismsto find homologous reactions the draft model is then refined and ver-ified by simulations Flux Balance Analysis (FBA) and Metabolic FluxAnalysis (MFA) are two major approaches that use metabolic models topredict intracellular fluxes (Stephanopoulos 1999) FBA is a theoreticalconcept that uses the stoichiometric coefficients for each reaction in thesystem as the set of constraints for optimization MFA determines in-tracellular fluxes from measurable rates of metabolite uptake and se-cretion in growth medium In a typical experiment substrates labelledwith the non-radioactive isotope 13C are used in chemostat-growncultures to trace fluxes through a cellular network Computational toolssuch as Cobra 20 for Matlab OptKnock or k-OptForce can implementconstraint-based flux calculations and suggest strategies based onknock-out upregulation or downregulation of target genes to optimizemetabolite production without compromising cell growth (Burgardet al 2003 Chowdhury et al 2014 Schellenberger et al 2011) In astudy by Izallalen and colleagues OptKnock was used together with theconstraint-based in silico model of Geobacter sulfurreducens to determinegene deletions which could lead to increased respiration rates (Izallalenet al 2008) Geobacter species are well recognized for their ability todegrade radioactive and toxic metals and have been explored for theirutility in microbial fuel cells (Shi et al 2016) These processes arenonetheless limited by electron transfer rates in cells OptKnock cal-culations followed by genetic constructions by the authors resulted inrecombinant Geobacter cells with decreased ATP levels slower growthrates and predicted higher respiration rates (Izallalen et al 2008)Subsequent genome-wide analysis of gene transcript levels also verifiedthe in silico predictions

Although FBA- and MFA-based approaches can handle genome-scalemetabolic models and require no information on enzyme kinetics theiroutput only gives a steady-state approximation of the dynamic reality inthe living cell Kinetic modelling is an alternative to static flux calcu-lations when reliable kinetic parameters of pathway enzymes and someother input data are available eg specific surface area of the cell

permeability coefficients for substrates metabolite concentrations orapproximate enzyme amount in the cell (Chowdhury et al 2015) Ki-netic constants can be obtained from enzyme databases such asBRENDA or can be determined experimentally One should keep inmind that most kinetic constants deposited in databases are not stan-dardized and also measured in in vitro which might be a limiting factorwhen such data are applied to kinetic modelling in living systems (Costaet al 2011) Computational tools such as COPASI or E-Cell are used toassemble the pathway model in the form of kinetic and differentialequations and to simulate reaction time courses for various conditions(Mendes et al 2009 Takahashi et al 2003) Kinetic models of wholemetabolic networks are the holy grail of metabolic engineering buttheir application in strain design is limited by factors such as un-reliability of parameters non-universality of rate laws need to imple-ment regulatory events or extremely high demand on computationalpower (Chowdhury et al 2015) In contrast the use of kinetic mod-elling to engineer individual metabolic pathways or simpler in vitro-assembled networks is currently more feasible (Muschiol et al 2015)

Recent studies by Dvorak Kurumbang and colleagues are notableexample of kinetic modelling applied in engineering of synthetic bio-degradation pathways (Dvorak et al 2014b Kurumbang et al 2014)As a model these studies centered on detoxification of the industrialwaste compound and water pollutant TCP to glycerol - reaction cata-lysed by the haloalkane dehalogenase DhaA from Rhodococcus rhodo-chrous NCIMB 13064 and the haloalcohol dehalogenase HheC and theepoxide hydrolase EchA from Agrobacterium radiobacter AD1 (Bosmaet al 1999) In vitro steady-state kinetic data obtained for HheC EchAand three variants of DhaA were utilized to develop a kinetic model ofthe reaction that proved useful for revealing major bottlenecks in thepathway that is (i) low activity of wild-type DhaA on TCP and (ii)unbalanced enantioselectivity and enantiospecificity of the first and thesecond enzyme in the route DhaA and HheC respectively (Dvoraket al 2014b) Modelling was further applied to predict optimal enzymestoichiometry and fine-tuning overall pathway efficiency both in invitro conditions and in the heterologous microbial host E coli In E colithe pathway was established as a modular tunable system (Kurumbanget al 2014) Absolute amounts of pathway enzymes in the cell copynumbers of used plasmid vectors and toxicity levels of pathway sub-strate and intermediates were included in the mathematical model asadditional parameters Variants of the pathway predicted to promotebetter host survival in a medium with toxic TCP were verified ex-perimentally The observed precise matching between calculated andexperimental data confirmed the performance of the pathway in E coliand stressed the power of kinetic modelling when reliable parametersare available Finally the kinetic parameters of an optimal DhaA var-iant that would ensure sufficient TCP conversion to glycerol as well ashost cell growth on the toxic substrate were both predicted by mathe-matical modelling

This study shows that for engineering and implanting heterologouspathways complete knowledge of the host cell metabolic background isnot a must and a reliable strain design can be achieved with a relativelysimple mathematical model (Dvorak et al 2014b) Even so similarstudies that combine theoretical and experimental approaches in thedesign of pathways and strains for biodegradation are still rare Mostrecent work in the biodegradation field is restricted to application ofpurely experimental techniques from a repertoire of metabolic en-gineering discussed in the following section

232 Experimental tools for pathway and strain optimizationOnce the bottleneck reaction steps are identified and a solution is

proposed experimental techniques are applied to target the appropriategenes or regulatory mechanisms Engineering is traditionally conductedat the level of gene expression which affects the quantity of proteinGenes in native or synthetic pathways are usually overexpressed byintroducing plasmid vectors with extra copies of desired coding se-quences One popular approach also used for modular assembly of the

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TCP biodegradation pathway described above is to combine NovagenDuet plasmid vectors (Merck Millipore Germany) or derivatives such asePathBrick vectors which carry compatible replication origins andantibiotic markers (Kurumbang et al 2014 Tolia and Joshua-Tor2006 Xu et al 2012) This system allows effective propagation andmaintenance of up to four plasmids in a single E coli BL21 cell withλDE3 lysogen and modular assembly of multi-gene pathways SEVA(Standard European Vector Architecture) plasmids with standardizedarchitecture and nomenclature are an alternative modular vectorsystem tailored to allow cloning or expression of heterologous genes inP putida E coli and other Gram-negative bacteria with no specificneed for strain pretreatment (Martiacutenez-Garciacutea et al 2015) Up to fourplasmids each with one of the six available antibiotic markers (ampi-cillin kanamycin cloramphenicol streptomycin tetracycline genta-micin) four independent replication origins (RK2 pBBR1 pRO1600ColE1 RSF1010) and diverse cargoes can be combined in a single hostcell to fulfill the users needs A rich collection of constructs is alreadyfreely available (httpsevacnbcsices)

A set of compatible SEVA plasmids was used for instance in a studyof Nikel and de Lorenzo (2013) who described extrication of P putidaKT2440 from its strictly aerobic nature which prevents its use in in-dustrial anaerobic fermentors and certain bioremediation applications(Nikel and de Lorenzo 2013) Two scenarios were considered to ex-plain the inability of P putida to grow in anoxic conditions (i) un-balanced energy charge due to limited activity of the respiratory chainand (ii) lack of appropriate pathways for anoxic NADH re-oxidationThis two-fold problem was tackled by recruiting the pyruvate dec-arboxylase (pdc) and alcohol dehydrogenase II (adhB) genes from theanaerobe Zymomonas mobilis and the acetate kinase (ackA) gene fromthe facultative aerobe E coli to manipulate energy generation andredox balance in anoxic conditions To evaluate the potential of therecombinant host for anoxic biotransformations the authors used it as ahost for the haloalkane dehalogenase genes from P pavonaceae strain170 The resulting recombinant which bore two synthetic operons oncompatible plasmids pSEVA234 and pSEVA428 not only survived inanoxic conditions but also degraded the environmental pollutant 13-dichloropropene These results highlight the possibility of harnessingthe full potential of P putida KT2440 as a robust biocatalyst by precisecontrol of its energy and redox metabolism

Despite the widespread use of recombinant plasmids in proof-of-concept studies metabolic engineers must bear in mind that the in-troduction and massive expression of heterologous genes can affect hostfitness due either to additional metabolic load or to depletion of es-sential cofactors in redox reactions (Dvorak et al 2015 Glick 1995Wu et al 2016) This is even more important in the design of robustbacterial degraders that must cope with a spectrum of toxic substratesandor pathway intermediates and might need an additional energycharge and reducing cofators to cope with oxidative stress (Dvoraket al 2015 Nikel et al 2013) By-passing such difficulties is possibleby tuning inducer concentration applying lower-copy-number plasmidswith weaker promoters or by enzyme-mediated co-factor recyclingthrough overexpression of NAD+ kinase transhydrogenases or dehy-drogenases (Dvorak et al 2015 Nikel et al 2016b)

As an alternative expression of heterologous genes directly from thehost chromosome can be beneficial for greater stability of the desiredgenotypephenotype and improved host viability (Martiacutenez-Garciacuteaet al 2014a Santos and Yoshikuni 2014 St-Pierre et al 2013 Zobelet al 2015) Homologous recombination and site-specific or randomtransposition-based techniques have been developed to enable chro-mosomal insertion of single genes gene clusters or whole syntheticoperons or knockouts of genes that encode competing metabolicpathways (Loeschcke et al 2013 Martiacutenez-Garciacutea et al 2014a Santosand Yoshikuni 2014 St-Pierre et al 2013 Zobel et al 2015)

In a study by Samin and co-workers a mutant variant of haloalkanedehalogenase DhaA was introduced into the chromosome of 23-di-chloro-1-propanol-degrading P putida MC4 under the control of a

strong constitutive promoter using the Tn5 transposon-based deliveryvector (Samin et al 2014) Although the complete mineralizationpathway in strain MC4 is not yet fully understood the recombinantPseudomonas was the first microorganism shown to grow aerobically onTCP both in shaken flasks and in packed-bed reactor in continuous-flow conditions Mini-transposon systems have also been used suc-cessfully for chromosomal integration of the whole catabolic cluster asin the study by Wittich and Wolf who transplanted 11 genes from threedistinct bacteria into Cupriavidus necator H850 giving rise to the firstdesigner bacterium to show aerobic growth on a wide range of PCBincluding the two commercial pesticides Aroclor 1221 and Aroclor1232 (Wittich and Wolff 2007)

Gene expression balancing is undoubtedly a powerful metabolic en-gineering concept In addition to the approaches mentioned above forrather rough manipulation of gene expression numerous techniques forfine-tuning expression have been developed in recent years Surgicalcuts including computationally designed ribosome binding sites refinedarchitecture of the whole expression cassette mutagenesis of promoterregions tailored stability of mRNA molecules or altered gene order inthe operon were proven useful for optimizing bisynthetic pathways(Boyle and Silver 2012) In several cases expression adjustment was alsoconsidered in biodegradation pathway design de la Pentildea Mattozzi andco-workers achieved more rapid paraoxon hydrolysis in a recombinantP putida strain by altering the order of three genes in the operon forenzymes that convert one of the initial pathway intermediates (de laPentildea Mattozzi et al 2006) Expression of the dszB gene which encodes2-hydroxybiphenyl-2-sulfinate sulfinolyase the last rate-limiting enzymein the dibenzothiophene biodesulfurization pathway was improved byrearranging gene order and removing the overlapping structure in the dszoperon (Li et al 2007) Nonetheless especially in cases of syntheticmetabolic pathways composed of biocatalysts from diverse organismsthe activity selectivity stability or inhibition bottlenecks of individualenzymes can be too far-reaching to be solved by tuning expression of thecorresponding genes Moreover overexpression of endogenous or exo-genous genes often results in a metabolic burden and lower host viabilitydue to overconsumption of metabolic precursors (amino acids rRNAATP reducing cofactors) to fuel the synthesis of non-essential proteins(Glick 1995 Wu et al 2016) Protein engineering of bottleneck en-zymes then becomes a more reasonable approach

233 Protein engineering to eliminate bottlenecks of biodegradationpathways

Over the last two decades three distinct strategies were developed toallow the construction and identification of mutant enzymes with de-sirable properties (Bornscheuer et al 2012) The earliest approach ra-tional design exploits various computational techniques such as mole-cular docking homology modelling and molecular dynamics simulationstogether with site-directed mutagenesis protocols to generate targetedmutations that result in single or several modified variants of an enzyme(Damborsky and Brezovsky 2014) In contrast directed evolution usesrandom mutagenesis methods and is beneficial especially in cases whenneither the structure nor the catalytic mechanism of the enzyme isavailable (Brakmann 2001) Random methods of directed evolution arecombined with elements of rational enzyme modification to bypasscertain limitations of both approaches This focused directed evolutionapproach targets several specific residues or certain protein regions se-lected on the basis of prior structural and functional knowledge(Bornscheuer et al 2012) Mutation hot spots are chosen experimentallyand on a much larger scale computationally using powerful new al-gorithms and statistical tools such as HotSpot Wizzard or 3DM tool(Bendl et al 2016 Damborsky and Brezovsky 2014 Kuipers et al2010) A clear trend in recent years is the introduction of protein en-gineering into the metabolic engineering workflow

The activities of many enzymes that act on anthropogenic com-pounds are derived from promiscuous activities that are generally veryinefficient (Khersonsky and Tawfik 2010) In such cases protein

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engineering is the only possible solution Numerous reports from thefirst decade of the 2000s describe application of common protein en-gineering methods such as error-prone PCR DNA shuffling site-di-rected or saturation mutagenesis for engineering activity or selectivityof individual catabolic enzymes to halogenated hydrocarbons (Paralesand Ditty 2005 Wittich et al 2010) Recently the new challenge ofaccumulating plastic waste has attracted the attention of protein en-gineers who try to enhance the activities of certain bacterial or fungalenzymes such as esterases lipases or polyster hydrolases to syntheticpolymers including polyethylene terephthalate (PET) or polyurethanes(Wierckx et al 2015) For instance Wei and colleagues applied acomparison of crystal structures and molecular docking combined withside-directed mutagenesis to improve the activity of cutinase TfCut2from Thermobifida fusca KW3 towards PET at elevated temperaturesthat promote degradation of this oil-derived plastic (Wei et al 2016)Subsequent kinetic and in silico energetic analyses confirmed that theimprovement in PET hydrolysis was the result of a relief of productinhibition caused by single point mutation in the enzymes surface-ex-posed active site New unique PETase and MHETase shown to helpbacterium Indonella sakaiensis to depolymerize and utilize PET arepromissing candidates for protein and metabolic engineering exercisesthat might lead to biotechnological recycling of the polymer(Bornscheuer 2016 Yoshida et al 2016a) Alas such a promise is notdevoid of controversy about the very enzymes that could do the job(Yang et al 2016 Yoshida et al 2016b)

The studies reporting the implantation of constructed mutants in thecontext of the whole biodegradative pathway are nonetheless ratherrare Iwakiri and co-workers successfully applied Alcaligenes sp KF711harbouring engineered monooxygenase P450CAM for the dehalogena-tion of pentachloroethane to trichloroethane in anoxic conditions(Iwakiri et al 2004) In another study promiscuous toluene ortho-monooxygenase and epoxide hydrolase were engineered using DNA-shuffling and saturation mutagenesis the use of mutant genes allowedmore rapid aerobic degradation of chlorinated ethenes with less ac-cumulation of stress-inducing intermediates in recombinant E colibearing the synthetic pathway (Lee et al 2006 Rui et al 2004)

Mutants of DhaA the enzyme that initiates dehalogenation of TCPwere used in three of the previously mentioned studies that focused onTCP pathway engineering (Dvorak et al 2014b Kurumbang et al 2014Samin et al 2014) The DhaA31 variant with 29-fold improved catalyticefficiency towards the chlorinated substrate was prepared by combiningmolecular dynamics simulations of product release from the buried ac-tive site with site-directed and saturation mutagenesis in selected hotspots (Pavlova et al 2009) Another promising mutant with the potentialto remove the second serious bottleneck in the synthetic TCPpathwaymdashenantioselectivity of DhaA and high enantiospecificity ofHheCmdashoriginated from the work of van Leeuwen et al (2012) Theauthors targeted DhaA31 to obtain variants that convert TCP pre-dominantly into (R)-DCP which can be further converted by HheC at amuch higher rate than the (S)-enantiomer Five rounds of focused di-rected evolution using saturation mutagenesis with restricted codon setsprovided mutant DhaA r5-90R with 13 new amino acid substitutions andsubstantially improved (R)-selectivity Mutagenesis nevertheless affectedthe activity with TCP which dropped to wild-type DhaA levels themutant was later shown in in vitro and in vivo studies to be of no value forfurther improvement of TCP pathway efficiency (Dvorak et al 2014bKurumbang et al 2014) Additional engineering input is thus needed toobtain DhaA variants with improved activity and modified enantios-electivity that would promote smooth flux through the syntheticpathway (Fig 4) and allow growth of bacterial recombinants in minimalmedium with the toxic substrate (Kurumbang et al 2014)

It will be necessary to accelerate the processes of laboratory evo-lution and screening of new enzymes with enhanced properties inmutant and metagenomic libraries to make protein engineering ofgreater value in optimizing natural and synthetic catabolic pathways(Bouhajja et al 2016) Selection couples an improved enzyme property

with host survival which allows evengt 109 clonesenzyme variants tobe tested in a reasonable time New selection assays based on toxicsubstrate conversions into a harmless utilizable metabolite coupledwith fluorescence-activated sorting of surviving cells could for ex-ample be applied for the enrichment of new dehalogenase variantsfrom libraries prepared by directed evolution or a semi-rational ap-proach (Fernaacutendez-Aacutelvaro et al 2011 Fibinger et al 2015) Severalrecent studies presented workflows for high-throughput screening andcharacterization of improved enzyme variants or novel enzyme activ-ities These test schemes are based on (i) bioinformatic pre-screeningcombined with high-throughput experimental characterization of can-didate proteins (Bastard et al 2014) (ii) completely automated roboticplatforms manipulating clones growing in microtitre plates (Doumlrr et al2016) (iii) microcapillary arrays coupled with fluorescent assays andlaser extraction for recovery of live clones (Chen et al 2016) or (iv)single-cell sorting based on a fluorescent signal from clones with animplemented synthetic genetic circuit responding to a specific meta-bolite (Choi et al 2014) In silico screening of molecules that fit theactive site cavity of an available enzyme structure or reverse screeningof enzymes that can accommodate target substrate could supplementexperimental methods and reduce the time needed for discovery of newbiocatalysts for recalcitrant chemicals Indeed the potential of in silicoscreening methods was demonstrated when investigating cytochromeP450-mediated metabolism of xenobiotics (Raunio et al 2015) In arecent study by Aukema and colleagues docking and molecular dy-namics simulations allowed selection of biphenyl dioxygenase fromParaburkholderia xenovorans LB400 as the best candidate enzyme formetabolizing carbamazepine one of the most commonly identified re-calcitrant pharmaceuticals in rivers (Aukema et al 2016) The ex-perimentally verified rate of carbamazepine degradation by P xeno-vorans cells was 40-times greater than the best reported rates so far

As shown in the preceding sections the available toolbox of systemsbiology metabolic engineering and protein engineering applicable forre-factoring microbes and their catabolic pathways towards more effi-cient biodegradation of waste chemicals and recalcitrant pollutants isbecoming inordinately large Even so the defined workflows standardsand universally applicable principles for strain optimization were longmissing in the field of metabolic engineering despite which the aim toengineer living systems on a rational basis remained prevalent in thecommunity This goal led metabolic engineers to adopt standards andstrategies from another closely related field of synthetic biology thatwas established primarily to program living systems with a high pre-dictability

3 Synthetic biology approaches and tools for biodegradationpathway engineering

The principal underlying thought in synthetic biology is that anyliving system can be considered a set of separate usable componentsthat can be combined by the means of biological engineering in newarrangements to alter existing features or generate new ones (deLorenzo and Danchin 2008) Such biological engineering can be sim-plified by applying principles adopted from electronic engineering andcomputer science to produce predictable robust systems (genetic con-trol systems metabolic pathways chromosomes and whole cells) withnon-natural functions (Paddon and Keasling 2014) This would beachieved through the fabrication of thoroughly characterized stan-dardized recyclable parts From its very beginnings synthetic biologyhas been confronted with the need to define its practice precisely and todevelop clear generally applicable strategies as this was the only wayto guarantee and implement engineering principles in a field as sto-chastic as biology With its tools standards and the DBTA cyclestrategy synthetic biology has contributed as has no other scientificdiscipline to rationalize metabolic engineering Its bottom-up ap-proaches and synthetic devices are being implemented to make morerobust better controllable microbial cell factories Synthetic biology

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can and to some extent already contributes the same service with itsnew concepts to the fields of biodegradation and bioremediation In thethe Section 3 we will discuss examples of beneficial inclusion of syn-thetic biology into strategies for engineering pathways and whole cellsfor biodegradation of waste and polluting chemicals and perspectivesfor these initiatives

31 Development of robust microbial chassis for biodegradation of toxicchemicals

Genetic instability and negatively affected fitness are frequentlyencountered drawbacks of the native microbial hosts tailored by me-tabolic engineering for specific biodegradation purposes Syntheticbiology offers possible solutions for these problems by implementingDNA synthesis and genome editing strategies Both curiosity and pro-spective practical applications drive synthetic biologists to generatemicrobial cells with deleted parts of their genomes that encode re-dundant cryptic or even deleterious functions Such cells endowedwith a reduced genome as foundation to house and support hetero-logous genetic parts are collectively known as chassis (Adams 2016)An extreme case of a chassis is the so-called minimal cell (Glass et al2006) Chassis can be prepared by de novo synthesis of a reduced targetgenome and its implantation into a suitable cell envelope or throughsystematic deletions of non-essential genes in the genomes of an ex-isting natural host Microarray-based oligonucleotide synthesis is cur-rently used to provide a substrate (usually 5ndash50 oligos) for constructionof larger (usually 200ndash3000 bp) synthetic fragments (Kosuri andChurch 2014) Scarless methods including the popular Gibson as-sembly uracil assembly Golden Gate technology ligase cycling reac-tion or yeast recombination are used to combine sequence-verifiedgene-length fragments in even larger complexes (Casini et al 2015)DNA synthesis also allows preparation of standardized genetic parts(promoters ribosome binding sites genes terminators and so on) withverified codon-optimized sequences Despite breakthroughs in genesynthesis and DNA assembly methods this last approach for chassisconstruction seems far more feasible at the moment considering thelesser demand of chromosome editing experiments the constantly ex-panding portfolio of genetic tools and the growing list of micro-organisms with intentionally reduced genomes (Martiacutenez-Garciacutea and de

Lorenzo 2016 Si et al 2015)Discarding non-essential cell functions shows considerable potential

not only for biosynthetic purposes (Hutchison et al 2016) but also fordesigner biodegradation and bioremediation A recent report on thesystematic deletion of 11 non-adjacent genomic regions in P putidaKT2440 (Fig 5) is a unique example of genome streamlining in apopular bacterial host with well-defined biodegradation capabilities(Martiacutenez-Garciacutea et al 2014b) In all 300 genes were eliminated thatis 43 of the entire KT2440 strain genome using the scar-less deletionprocedure based on homologous recombination after in vivo DNAcleavage by the homing Saccharomyces cerevisiae nuclease I-SceI(Martiacutenez-Garciacutea and de Lorenzo 2012) A suite of functions was tar-geted including the complete flagellar machinery whose assembly andfunction drains ATP from the cells and consumes NAD(P)H Four pro-phages two transposons and three components of DNA restriction-modification systems were also eliminated to minimize genetic in-stability The resulting strains designated P putida EM42 and EM383(the latter lacks the recA gene that encodes recombinase A) showedclearly superior growth properties and improved overall physiologicalvigour compared to wild-type KT2440 Moreover due to the higherNADPHNADP+ ratio the reduced-genome strains also better toleratedendogenous oxidative stress a property that provides a crucial ad-vantage for catalysing harsh biodegradation reactions such as aerobicdehalogenation of chlorinated pollutants (Nikel et al 2013)

Despite their reliability and robustness the procedures based onthese genome editing tools are time- and labour-intensive and re-stricted to a limited number of model microorganisms This problem isnow being challenged by new protocols that profit from the type IIbacterial Clustered Regularly Interspaced Short Palindromic Repeats(CRISPR) and CRISPR-associated protein (Cas) Multiple AutomatedGenome Editing (MAGE) and combinations thereof (Barrangou andvan Pijkeren 2016 Wang et al 2009) Nonetheless these technologiesalso suffer from some weaknesses such as generation of numerous off-target mutations The off-target problem of the CRISPR-Cas system wasrecently mitigated by engineering high-fidelity Cas9 nucleases(Kleinstiver et al 2016) In a similar manner the number of off-targetmutations during MAGE was reduced substantially when temperature-sensitive control of the endogenous methyl-directed mismatch repairsystem was introduced into the E coli host together with a dominant

Fig 4 Hypersurface plot describing the effect of catalytic efficiency (kcatKm) and enantioselectivity (E-value) of haloalkane dehalogenase DhaA on the production of glycerol in the TCPpathway The hypersurface was calculated using the mathematical model of the TCP pathway (Dvorak et al 2014b) using the constraints of Kurumbang and co-workers (Kurumbanget al 2014) Positions of four DhaA variants DhaAwt (wild type kcatKm = 70 Mminus1 sminus1 E-value = 1) DhaA r5-90R (kcatKm = 20 Mminus1 sminus1 E-value = 10) DhaA31 (kcatKm = 600 Mminus1 sminus1 E-value = 1) and hypothetical DhaAXX (kcatKm = 700 Mminus1 sminus1 E-value = 10) are indicated by red dots Note that the majority of mutations (orange spheres)introduced into DhaA r5-90R and DhaA31 are adjacent to the active site (red spheres) and to the access tunnels (in green) Hypothetical enzyme DhaAXX with 10-fold improved catalyticefficiency and 10-fold improved enantioselectivity compared to DhaAwt would enable production of 1 mM glycerol (red line) from 2 mM TCP in the culture of recombinant E coliBL21(DE3) within 24 h time interval Such glycerol concentration will be sufficient to support the cell growth Figure was adopted and modified from (Kurumbang et al 2014) (Forinterpretation of the references to colour in this figure legend the reader is referred to the web version of this article)

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negative mutator allele of the E coli mismatch repair protein MutL(Nyerges et al 2016) By placing this highly conserved allele togetherwith λ Red recombinase genes and a temperature-sensitive λ repressoron a single broad-host range plasmid Nyerges and co-workers provideda simplified MAGE variant (pORTMAGE) that allowed genome editingand mutant library generation in several biotechnologically and clini-cally relevant bacterial species with no need for prior modifications ofparental strains The recent discovery of the Ssr protein from P putidaDOT-T1E a functional homologue of the β protein of the λ Red re-combination system paved the way for oligonucleotide-mediatedmultiplex genome engineering in pseudomonads including P putidaKT2440 and its derived platform strains EM42 and EM383 (Aparicioet al 2016) Continuing facilitated reduction of their genomes (dele-tions of multiple repetitive sequences or certain proteases) and genomesof other relevant bacterial hosts will provide more reliable robustchassis for biodegradation pathway engineering

32 Development of synthetic microbial consortia for enhancedbiodegradation and bioremediation of pollutants

An alternative strategy that allows for the emergence of more robustmicrobe-based bioprocesses is just the opposite of the systematic de-velopment of bacterial chassis based on individual wild-type strainsNatural microbial consortia perform complicated biocatalytic taskssuch as lignocellulose degradation wastewater purification or in-testinal food digestion By dividing the labour and metabolic burdenthe consortium members become more flexible when facing complexenvironmental conditions Distribution of catabolic capacity amongcells of a single organism among different bacterial strains or evenamong species from different kingdoms is pivotal this is especially truefor biodegradation of complex toxic chemicals which encompassesmany steps and harmful intermediates with diverse physicochemicalproperties The idea of exploiting consortia for directed biodegradationof polluting compounds and bioremediation of contaminated sites thuslies ready to hand

Application of natural microbial consortia has already shown pro-mise for bioremediation of sites polluted with anthropogenic pesticidessuch as diclofop methyl or atrazine (Baghapour et al 2013 Wolfaardtet al 1994) Together with the new field of synthetic biology attemptsare being made to modify the structure of original natural consortia ordevelop completely new artificial organizations of co-operating mi-croorganisms For example co-culture of engineered E coli SD2 and Pputida KT2440 was used successfully to mineralize the insecticideparathion in shaken flasks and in biofilm culture (Gilbert et al 2003)In another study complete mineralization of 246-tribromophenol aflame-retardant intermediate and pesticide was achieved using an

artificial anaerobe consortium of reductive debrominator Dehalobactersp FTH1 a hydrogen supplier Clostridium sp Ma13 and the 4-chor-ophenol-degrading strain Desulfatiglans parachlorophenolica DS (Li et al2015) Recently Martiacutenez and co-workers introduced an attractive al-ternative strategy for engineering the 4S pathway (Fig 6A) a para-digmatic bioprocess for removal of the recalcitrant sulphur from aro-matic heterocycles in fuels (Martiacutenez et al 2016) The pathwayencoded by dszABCD genes converts the model compound di-benzothiophene (DBT) into sulphur-free 2-hydroxybiphenyl (2HBP)The authors initially synthesized and re-arranged the original genes andoptimized transcriptional and translational signals for P putida KT2440By dividing the pathway into three separate modules expressed in-dividually they were able to define previously unreported bottlenecksin the pathway that is the inhibitory effect of intermediate 2HBP-sulfinate (HBPS) on DszA and DszC monooxygenases and HBPS leakageinto the culture medium from which it could not be transported backinto the cells for further processing To prevent HBPS accumulationtwo P putida strains bearing dszC1-D1 or dszB1A1-D1 modules weremixed as a suspension of resting cells When the strains were combinedat a 14 ratio and added with cell-free extract containing extra DszBalmost 100 of DBT was transformed into 2HBP in assay conditions

Considerable attention is currently being dedicated to developingstrategies for biodegradation of oil and oil-derived chemicals Patowaryand co-workers designed a potent microbial consortium for prospectivedecontamination of sites exposed to polycyclic aromatic hydrocarbonsfrom crude oil (Patowary et al 2016) The authors first inspected thebiodegradative capacity for total petroleum hydrocarbons of 23 bac-terial isolates from petroleum-contaminated soils and subsequentlydesigned 14 artificial consortia based on the five most efficient isolatesThe best designer consortium comprised of two biosurfactant-produ-cing hydrocarbon-degrading strains of Bacillus pumilus and B cereusshowed up to 84 degradation of total petroleum hydrocarbons afterfive weeks as verified by gravimetric FTIR and GCMS analyses Ap-plication of natural or re-designed bacteria and their consortia alsoholds considerable promise for decomposition of oil-derived plasticwaste (Skariyachan et al 2016 Yoshida et al 2016a 2016b)

New tricks for more efficient biodegradation strategies could beadopted from inspiring current research on synthetic consortia designedto decompose and valorize lignocellulosic biomass (Minty et al 2013)Tozakidis and co-workers reported application of an engineered con-sortium of three P putida strains displaying thermophilic en-doglucanase exoglucanase or β-glucosidase for concerted hydrolysis ofcellulose at elevated temperatures (Tozakidis et al 2016) Some studiesdescribe surface display of whole designer cellulosomes ndash syntheticenzymatic nanomachines whose natural counterparts are produced bycertain cellulolytic bacteria that exploit clustered surface-attached

Fig 5 Engineered Pseudomonas putida KT2440 as a newrobust chassis for biodegradation and bioremediationMartiacutenez-Garciacutea and colleagues used in-house genomeediting tools to streamline the chromosome of Pseudomonasputida KT2440 (Martiacutenez-Garciacutea et al 2014b) Deletion of43 of the original genome gave rise to the new platformstrains EM42 and EM383 whose advantageous propertiesmake them useful chassis for engineering biodegradationpathways and other applications

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cellulases for efficient depolymerization of cellulose and hemicellulose(S Kim et al 2013 Moraiumls et al 2014) The vast majority of the workthat exploits surface display systems for whole-cell removal of en-vironmental contaminants has been restricted to individual proteinssuch as laccases methyl parathion hydrolase or triphenylmethane re-ductase (Gao et al 2014 Liu et al 2016 Yang et al 2012) It istempting to expand available surface display technologies with cellu-losome parts for the design of synthetic consortia that would catalysemore complex biodegradation reactions including polymeric substratesor toxic metabolites outside the cells

Despite their true biotechnological potential microbial consortiaremain too complex for directed long-term application either for bio-synthesis or for biodegradation It is still difficult to engineer home-ostasis and evolutionary stability in an artificial multi-cellular systemwhose behaviour becomes unpredictable with time (Escalante et al2015) Attempts to adopt principles of intercellular communication forsynthetic consortia are just at their beginnings (Hennig et al 2015Scott and Hasty 2016) Intensive co-operation of genetic engineers andevolutionary biologists with microbial ecologists and chemists willobviously be needed to derive a deeper understanding of the processesthat rule the formation and survival of natural microbial consortiaLessons learnt from nature can be implemented and combined withcompletely anthropogenic orthogonal genetic devices for more reliabledesign of stable multicellular systems

33 Development of orthogonal systems in bacteria to enhance pollutantbiodegradation and bioremediation

Orthogonal or in other words parallel independent systems1 is a key

concept in synthetic biology as long as such quality makes live systemsmore amenable to bona fide engineering Orthogonalization involveseg use of unnatural genetic codes (for example quadruplet rather thantriplet) alternative transcription-translation machineries toggleswitches and genetic circuits for assembly of novel metabolic andsignalling pathways from proteins containing non-natural amino acids(An and Chin 2009 Wang et al 2012) Such metabolic pathways couldhave new functions and would synthesize or catabolize a fresh spectrumof compounds Ideally orthogonal pathwaysmodules interact mini-mally with their natural counterparts in the host cell This improvespredictability of the component behaviour and prevents inhibitorycross-talk following introduction of the pathway or circuit into an ex-isting metabolic network (Kim and Copley 2012 Kurumbang et al2014) In an orthogonal module the input and output molecules ofgenetic circuitsmdashor enzymes and metabolites of synthetic biochemicalroutesmdashare not degraded or inactivated by side-reactions or physico-chemical conditions of the host cell While complete orthogonality isvirtually impossible in biological systems a practicable level of context-independence is indeed feasible Some examples of claimed orthogonalsystems include simple synthetic genetic circuits switches or designedmetabolic pathways These have the potential to improve function ofindividual engineered bacteria or synthetic consortia as whole-cellbiosensors and degraders of recalcitrant chemicals

Sensitivity robustness and applicability of microbial biosensors fordetecting heavy metals or halogenated hydrocarbons can be greatlyimproved by implementing orthogonal genetic devices (Bereza-Malcolm et al 2015) Thus far simple microbial biosensor designsbased on one input and two-part regulatory systems with promoter andreporter providing a coloured fluorescent bioluminescent or electricsignal prevail in the literature (Ravikumar et al 2017) Reports onmore complex multi-input systems based on Boolean logic gates are stillrare but give us a clue to future developments in the field As firstoutlined by the work of Wang et al (2016) orthogonally acting multi-

Fig 6 Examples of synthetic biology approaches applied toengineering biodegradation pathways and whole-cell de-graders (a) Martiacutenez and co-workers divided the 4Spathway for sulphur removal from aromatic heterocyclesinto two modules (dszC1-D1 and dszB1A1-D1) that wereexpressed individually in two P putida KT2440 strains toform a synthetic consortium (Martiacutenez et al 2016) Com-bining the strains at a 14 ratio and mixing them with cell-free extract from the third strain producing DszB resulted inalmost complete conversion of dibenzothiophene into sul-phur-free 2-hydroxybiphenyl in assay conditions (b) Wanget al constructed a synthetic bacterial consortium in whicheach of the two E coli strains functioned as a double inputsensor with synthetic AND gates for detecting arsenicmercury and copper ions and quorum sensing molecules(3OC6HSL Wang et al 2013) Strain 2 generated redfluorescence only in the presence of all three metal ions inculture (c) Benedetti and colleagues achieved directedtransition between planktonic and biofilm lifestyles of Pputida KT2440 by controlling cyclic di-GMP levels with anorthogonal genetic device composed of the yedQ diguany-late cyclase gene from E coli under the control of the cy-clohexanone-responsive ChnRPchnB regulatory node fromAcinetobacter johnsonii (Benedetti et al 2016) Designedcells with a synthetic operon for 1-chlorobutane biode-gradation formed inducible biofilms with higher dehalo-genase activity than free planktonic bacteria (d) Dvorakand co-workers assembled the first in vitro synthetic biode-gradation pathway for 123-trichloropropane (TCP) bycombining engineered haloalkane dehalogenase DhaA31halohydrin dehalogenase HheC and epoxide hydrolaseEchA immobilized in cross-linked enzyme aggregates(CLEAS) and polyvinyl alcohol particles (LentiKats) (Dvoraket al 2014a) The immobilized pathway converted highconcentrations of toxic TCP into glycerol in contaminatedwater for more than two months of continuous operation in

a bench-top packed bed reactor (For interpretation of the references to colour in this figure legend the reader is referred to the web version of this article)

1 The mathematical and geometrical concept of orthogonality has been adopted first bycomputing science and then by synthetic biology to signify operative independenceSystem A is orthogonal to system B if A does not influence Bmdashand vice versa

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inputmulti-output logic gates will be especially valuable for detectingmixtures of polluting chemicals (organic inorganic or both) by pro-viding a specific signal for each of the constituents (He et al 2016Wang et al 2011) Developing such biosensors is of practical im-portance as polluted environments are usually burdened with nu-merous contaminants that have diverse physicochemical propertiesThe authors engineered a set of two-input E coli-based biosensors withsynthetic AND gates using signalling sensory modules from native two-component signal transduction pathways as well as hrpR and hrpSgenes along with their HrpL promoter element from P syringae Usingthese sensors they detected arsenic mercury copper and zinc ions aswell as quorum sensing molecules in aqueous environment (Wang et al2011) The most advanced design resulted in a triple-input AND logic-gated biosensor that formed a synthetic bacterial consortium in whicheach of the two members acted as a double input sensor (Fig 6B) In thepresence of arsenic and mercury the first strain formed a quorumsensing molecule (3OC6HSL) that diffused freely into the medium andwas sensed together with Cu2+ by the second strain which provided ared fluorescent signal (Wang et al 2013) The fluorescent response wasseen only when all three metal ions were present in the culture

Reliable orthogonal devices will be crucial for engineering artificialcell-cell communication for instance taking advantage of bacterialquorum sensing systems (Hennig et al 2015 Scott and Hasty 2016)Programming the dynamics of subpopulations of synthetic consortiathat perform complex tasks will be only possible with parallel geneticcircuits and signalling molecules unknown to the host cells (Chen et al2015) As stressed by Silva-Rocha and de Lorenzo (2014) catabolicpathways for recalcitrant and xenobiotic compounds could be a reliablesource of wiring devices and molecules These pathways are frequentlyfound in specific types of organisms and metabolic crosstalk can thusbe avoided by implementing components of such networks in suitablehosts For instance aromatic molecules such as benzoate or phenol canbe used as signal inducers that are recognized by regulatory proteinsthat trigeger expression of target genes The recent determination of thecrystal structure of the sensory domain in the phenol-responsive tran-scription activator PoxR ilustrates how aromatics are sensed in bacteria(Patil et al 2016) This study paves the way for wider application ofrationally engineered transcription regulators responsive to aromaticsin the design of synthetic genetic circuits

The dynamic behaviour of the whole biodegradation pathway canalso be better studied when the route is transferred into a distant hostchassis where it acts orthogonally The orthogonal nature of the syn-thetic pathway for TCP biodegradation in the surrogate host E coliBL21 (DE3) described in Section 231 allowed a very good matchbetween in silico predicted and in vivo metabolite concentrations andprecise description of the bottlenecks (Kurumbang et al 2014) as wellas deciphering the contribution of metabolic burden and substratemetabolite toxicity to the fitness cost of TCP biotransformation bywhole-cell catalysts (Dvorak et al 2015) Despite their benefits for suchmechanistic and proof-of-concept studies laboratory E coli strainsmight not be optimally suited for the harsh conditions that accompanybiodegradation and bioremediation processes (Adams 2016 Nicolaouet al 2010) Development of reliable chassis amenable to implantationof orthogonal genetic devices is therefore desirable These new cellplatforms should be based on robust environmental strains of Pseudo-monas Rhodococcus Deinococcus and other microorganisms with broadmetabolic versatility and natural resistance to organic solvents or heavymetals (Adams 2016)

One can also take advantage of other specific properties of en-vironmental bacteria including formation of a robust biofilm As shownrecently by Benedetti and colleagues the actual physical forms ofwhole-cell biocatalysts can be mastered using orthogonal genetic parts(Fig 6C) through the so-called synthetic morphology approach (Benedettiet al 2016) Pseudomonads generate biofilms with biophysical prop-erties that depend on the species Cyclic di-GMP (c-di-GMP) is the keysignal molecule that rules the complex regulatory network mediating

the transition between planktonic cells and biofilm formation Thisfeature was exploited to design an orthogonal genetic device for ma-nipulating the native c-di-GMP biochemistry in P putida thereby con-trolling biofilm formation (Benedetti et al 2016) The E coli yedQ gene(encoding diguanylate cyclase the enzyme that synthesizes c-di-GMPfrom GTP) was placed under control of a tightly regulated cyclohex-anone-responsive expression system A synthetic operon encoding theenzymes needed for 1-chlorobutane biodegradation was also in-troduced in the engineered biofilm-forming P putida strain Upon ac-tivation of the corresponding genetic modules with appropriate in-ducers the resulting P putida biocatalyst displayed high dehalogenaseactivity in robust biofilms

The modern approaches of biological engineering accelerate thedevelopment of whole-cell biocatalysts for in situ bioremediation orbiosensing of emerging environmental pollutants Field applications ofgenetically modified microorganisms are nonetheless restricted bycurrent legislation and hindered by the unreliable behaviour of re-combinant microbes in complex fluctuating environments Syntheticbiology can help to tackle the major problems through the means de-scribed at the beginning of this chapter ie non-canonical geneticcodes and xenobiochemistry which can prevent diffusion of undesiredsequences into the environmental gene pool differentiate recombinantsfrom their natural counterparts and improve robustness and reliabilityof prepared genetic devices whole-cell degraders and biosensors Theexamples of such endeavours were recently reviewed extensively(Schmidt 2010 Schmidt and de Lorenzo 2016) These systems couldbe combined with bioluminiscence fluorescence or DNA watermarkingtechnologies to track the environmental fate of designer degraders orwith inducible suicide systems for discarding degraders once theirmission is completed (Liss et al 2012 Liu et al 2010 Paul et al2005) Yet the path to applied xenobiology is still crooked and manyethical questions remain Another concept from the portfolio of syn-thetic biology that will be discussed in the following section has thepotential to fill the time gap until we obtain reliable whole-cell catalystsand alternative solutions also acceptable for GMO critics will be pro-vided

34 Engineering microbial biodegradation pathways in vitro

The major principle of cell-free synthetic biology is that purifiedbiomolecules or components in crude cell extracts replace intact cellsfor constructing complex biomolecular systems (Hodgman and Jewett2012) To date metabolic networks that encompassgt 10 enzymeshave been reconstructed in vitro (Rollin et al 2015 Schwander et al2016) Cell-free metabolic pathways allow easy verification of bioca-talyst function determination of kinetic parameters as well as eva-luation of the network by kinetic modelling (Santacoloma et al 2011)Note however that assemby of degradative pathways in cell-free sys-tems (whether with purified enzymes or cell extracts) is not only toprototype and parametrize new routes but also for direct use in thefield (Karig 2017) Despite the drawbacks that cell-free systems cannotself-propagate that certain biomolecules can be sensitive to oxidizingenvironments and that their encapsulation and large-scale productionmight be costly these systems offer an appealing means to circumventproblems associated to GMO release to the environment Apart fromincreasing safety they offer other clear benefits For instance in vitrosystems can operate in the presence of toxins that would inhibit or killlive cells and metabolites regulators and enzymes can be produced inoptimized concentrations without interfering with cell componentsMost important for release and predictability the evolutionary oppor-tunities of such non-live agents are zero making the emergence ofunexpected properties virtually impossible

In vitro metabolic networks can suffer from suboptimal efficiencydue to the lower enzyme concentration compared to the extremelydense cell cytoplasm (Hodgman and Jewett 2012) This issue can bemitigated by enzyme immobilization and improved spatial organization

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via synthetic protein or DNA scaffolds that reduce diffusion of pathwayintermediates and promote substrate channeling (Siu et al 2015) Al-ternatively biocatalysts can be precipitated and covalently inter-connected in cross-linked enzyme aggregate particles (Sheldon 2011)this method was applied successfully to synthesize toxic nucleotideanalogues by an immobilized five-enzyme synthetic pathway (Scismand Bachmann 2010) The biochemical route described was completedwith functional ATP regeneration which demonstrates that in vitrotechnologies can cope with another possible drawback ndash limited co-factor recycling

Thus far mainly single immobilized enzymes or whole-cell bioca-talysts have been exploited in biotechnological processes intended toremove polluting chemicals such as polyethylene terephthalate 24-dinitrophenol atrazine or inorganic nitrates (Barth et al 2016Dehghanifard et al 2013 Mutlu et al 2015 Troumlgl et al 2012) In vitroassays with cell-free extracts or purified enzymes respectively helpedto identify an unknown anaerobic pathway for complete phthalatedegradation to CO2 in Thauera chlorobenzoica 3CB-1 or to decipher se-questration of the highly toxic intermediate tetrachlorobenzoquinone inpentachlorophenol degradation pathway in Sphingobium chlor-ophenolicum (Ebenau-Jehle et al 2017 Yadid et al 2013) Geuekeet al showed the benefits of an in vitro engineering approach in themodel of γ-HCH biodegradation pathway (Geueke et al 2013) Theyused a system of two purified enzymes the dehydrochlorinase LinA andthe haloalkane dehalogenase LinB which initiate biotransformation ofγ-HCH a prohibited insecticide They separately incubated five isomersthat form technical HCH (which used to be applied frequently instead ofpure γ-HCH) with various LinALinB ratios and determined metabolicprofiles of sequential biotransformations Analyses of these profileshelped determine the environmental fate of HCH isomers and showedthat the original HCH degradation pathway is optimized by evolutionfor γ-HCH but not for other isomers that co-pollute contaminated sites

The first report of in vitro assembly of a fully functional syntheticbiodegradation pathway was published by Dvorak and co-workers(Dvorak et al 2014a) The authors adopted the cell-free strategy usingimmobilized engineered haloalkane dehalogenase DhaA31 halohydrindehalogenase HheC and epoxide hydrolase EchA for TCP bio-transformation to harmless valuable glycerol in contaminated water(Fig 6D) The practical utility of bacterial recombinants that mineralizeTCP (desccribed in Sections 231 and 232) is limited by substratetoxicity and by legislative barriers on the application of GMO(Kurumbang et al 2014 Samin et al 2014) Probing the function ofthe pathway in in vitro conditions therefore lied ready to hand Theauthors successfully immobilized the pathway in the form of purifiedenzymes or cell-free extracts in cross-linked enzyme aggregates andlens-shaped polyvinyl alcohol particles The immobilized pathwayshowed almost the same efficiency of TCP-to-glycerol conversion asmixture of free enzymes Physicochemical properties of polyvinyl al-cohol lentils allowed recovery from the reaction mixture and recyclingof the pathway In addition the immobilized enzymes retainedgt 50of their initial activities for over 2 months of continuous operation in abench-top packed bed reactor The study indicated that the im-mobilized route removes TCP from heavily contaminated water with apollutant concentration (~1 gL) that would be detrimental to theliving degraders One can anticipate that such conversions of toxic TCPto useful glycerol could even pave the way for prospective valorizationof this waste chemical

Although this biotechnology requires further validation and tuningthe work showed that in vitro assembly of natural or synthetic enzy-matic pathways with engineered enzymes is a promising concept for thebiodegradation of polluting compounds and toxic industrial wasteproducts Transport of such pathways via non-live carriers is relatedconceptually to efforts to produce and release complex therapeuticagents for human use In both cases their application demands thedevelopment of a sort of environmental Galenic science that enablessupply of the engineered biological remedy when and where needed

4 Towards planet-wide bioremediation interventions CO2

capture as a large-scale challenge

Environmental deterioration due to emissions of recalcitrant che-micals seems to pale when compared to the problem of global warmingcaused by the release of greenhouse gases that originate in human ac-tivities The bulk of these gases comprise four natural molecules carbondioxide (CO2) methane (CH4) nitrous oxide (N2O) and ozone (O3) aswell as one class of xenobiotics the chlorofluorocarbons or CFC Giventhe diluted aereal and global nature of this problem the strategiescontemplated for tackling these chemical species differ considerablyfrom those that centre on site-specific pollution issues Most proposalsthus far focus much more on reducing emissions than on capture andreturning to innocuous chemical or mineral forms All these compoundshave their own natural biogeochemical cycle and in theory simplyreducing their input into the biosphere should restore the originalequilibrium (Rockstroumlm et al 2017) Recent ecological thought none-theless postulates that the impact of climate change in many ecosystemsis already irreversible by natural means and call for large-scale inter-ventions that could help to resolve this impasse (de Lorenzo et al2016) In this case what types of options could be considered from asystemic biology perspective

Some incipient attempts have appeared recently mostly in the fieldof engineering bacteria with a greater capacity for non-photosyntheticfixing of CO2 (Erb and Zarzycki 2016) One option is to use the sixalternative pathways of autotrophic carbon fixation known in nature(Fuchs 2011 Hicks et al 2017) as a starting point to optimize suchnatural processes Another possibilty is the invention of new routes byrewiring or modifying existing enzymes in a new configuration A re-markable example of this solution is the work of Antonovsky et al(2016) who showed that combining metabolic rewiring recombinantprotein expression and laboratory evolution enables the production ofsugars and other biomass constituents by a fully functional Calvin-Benson-Bassham (CBB) cycle in E coli In the bacteria designed in thisway carbon is fixed via a refactored CBB cycle whereas reducingpower and energy are derived from pyruvate oxidation (Fig 7) It isinteresting to note how evolutionary approaches adjust fluxes andgenerate connections between the designed CBB cycle and the hostbiochemical network that cannot be predicted or designed

A separate approach was recently developed by Schwander et al(2016) who developed a synthetic route for continuous CO2 fixation invitro by composing a cycle formed of 17 enzymes that convert CO2 intoorganic molecules The cycle was draughted by metabolic retro-synthesis with enzymes from nine organisms from three domains of lifefurther optimized through rounds of protein engineering and metabolicproofreading Although this completely designed pathway has not yetbeen implemented in vivo (eg in a bacterial carrier) it is a question oftime until it is done and propagated throughout an entire microbialcommunity (de Lorenzo et al 2016)

Finally todays systemic approaches enable the invention of en-zymes from scratch through de novo protein design followed by directedevolution which opens perspectives for improving the natural state ofaffairs regarding fixation of CO2 (and other greenhouse gases) as well asvalorization of this waste as biotechnological feedstocks (Huang et al2016 Renata et al 2015) A separate matter is the large-scale de-ployment of the microbial agents for CO2 retrieval Existing technologyallows their implementation in biofilters and bioreactors that captureemissions at source But how can we spread such desirable catalyticproperties at a very large even at planetary level to make a differenceSuch technologies are not yet availablemdashlet alone that they raise a largenumber of safety questions But they must necessarily be developed ifwe are not just to control greenhouse gas discharges but also aim attheir eventual reduction to pre-industrial levels (de Lorenzo et al2016)

Unfortunately greenhouse gases are not the only globally wide-spread molecules to be concerned about Much before global warming

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associated to CO2 emissions became so conspicuous widespread pol-lution by endocrine disruptors (eg alkylphenols bisphenols DDTPCBs polybrominated diphenyl ethers phthalates and per-fluorooctanoic acid) was well documented Moreover other silent pol-lutants originate in the pharmaceutical industry eg antibiotics(Marathe et al 2017) and hormones They end up in a large variety ofecosystems in a diluted but still active form Finally plastics (egpolycarbonate polystyrene polyethylene terephthalate lowhigh-density polyethylene polypropylene and polyvinyl chloride) are cur-rently receiving a considerable focus as a major environmental pro-blem A number of microbial strains able to totally or partially act uponthese compounds have been isolated (see above) but in general thebiodegradation process is very slow The global nature of these types ofpollution thus requires the development of new efficient microbialpathways for their elimination quite a challenge for contemporarysynthetic biologists and metabolic engineers (de Lorenzo 2017)Butmdashas is the case for CO2 capture mentioned abovemdashpathways andhosts able to deploy them are not enough Effective strategies for globaldispersion of biodegradative activities of interest are badly nee-dedmdashperhaps inspired in gene drives or some type of self-propagatingmassive horizontal gene transfer (de Lorenzo et al 2016)

5 Conclusions and perspectives

The practical examples described in the preceding sections showthat technologies of systemic biology offer promise not only for therenaissance of bioremediation using anthropogenically enhanced mi-crobial degraders but also for entry to the new era of Bioremediation30 The bottlenecks described at the beginning of this text are one byone being released or removed with the help of new computational andexperimental tools Databases and pathway prediction systems help the

user to select suitable chemically and energetically feasible traits fordesired tasks Multi-omic analyses provide valuable information thatfacilitates choice of a suitable host Genome-scale and kinetic modelsapplied hand-in-hand with genetic engineering techniques enable tai-loring of gene expression reduction of metabolic burden and pathwayoptimization in the context of host metabolism The visionary conceptsof synthetic biology and global scale CO2 bioremediation open up newdimensions for engineering microbial degraders General work schemesand standards for design building and fine-tuning of selected bio-chemical routes networks and whole-cell biocatalysts are simulta-neously becoming better defined and accepted by the community

Despite the clear progress over the last decade of biochemical andbiological engineering the vast complexity of the living cell remainsthe major hurdle for any attempt for fully rational pathway design Inthe case of biosensing and biodegradation pathway design and pro-spective applications of the genetically-modified microbes this problemis exacerbated by the complexity of intercellular and interspecific in-teractions and by the still poorly understood interplay between thebiotic and abiotic factors that govern contaminant biodegradation inpolluted ecosystems (de Lorenzo 2008 Meckenstock et al 2015) Weassume that in principle there are two ways to address this challengenow and in future

The first admits that complexity of biological systems will not beresolved anytime soon and thus bets on combining rational designs withnatural evolution at the end of the DBTA cycle thus expanding it toDBTAE (Design-Build-Test-Analyze-Evolve) Adaptive laboratory evo-lution (ALE) is a high calibre tool of this approach ALE is now frequentlyused by academic and industrial laboratories to evolve desired prop-erties in environmental bacteria and for fine-tuning recombinant mi-croorganisms but its principles have been well known since the time ofthe very first attempts to modify microbial phenotypes (Kellogg et al

Fig 7 Hemiautotrophic growth of engineered E coli al-lowed by decoupling energy production and carbon fixa-tion The hemiautotrophic growth was observed after per-forming three distinct steps (i) Calvin-Benson-Bassham(CBB) cycle for the biosynthesis of sugars from CO2 wascompleted by introducing only two exogenous enzymaticactivities phosphoribulokinase (prkA) and RuBisCO (ii)phosphoglycerate mutase genes gpmA and gpmM were de-leted to separate central metabolism into two sub-systemsie a CO2-fixing part that included PrkA RuBisCO upperglycolysis and the pentose phosphate pathway and an en-ergy-supplying module that employed lower glycolysis andthe TCA cycle (iii) the engineered strain bearing furthermutations (ΔpfkA ΔpfkB Δzwf) was exposed to the strongselective pressure towards greater carbon fixation in xylose-limited chemostat with a surplus pyruvate and CO2Emerged mutations made designed CBB cycle functionaland the hemiautotrophic strain that replaced utilisation ofxylose with CO2 fixation dominated the populationFigure adapted from Antonovsky et al (2016)

P Dvořaacutek et al Biotechnology Advances 35 (2017) 845ndash866

860

1981) In biodegradation research exposing microorganisms with de-sirable catabolic traits to the target chemical(s) for prolonged intervalsin chemostat or shaken-flask cultures enabled isolation of bacteria ableto use persistent compounds such as 245-trichlorophenoxyacetic acid(the defoliating Agent Orange) or helped improve atrazine degradationrates by Pseudomonas sp ADP or 24-dichlorophenoxyacetic by Ral-stonia sp TFD41 (Devers et al 2008 Kellogg et al 1981 Nakatsuet al 1998) Nonetheless the potential of ALE in engineering microbialdegraders has yet not been fully exploited ALE will be an ideal tool forempowering rationally pre-designed recombinants with resistance todiverse environmental stresses encountered in directed biodegradationprocesses or in polluted ecosystems (Nicolaou et al 2010 Oide et al2015 Wang et al 2016) When combined with whole-genome se-quencing and reverse engineering ALE as an evolutionary ldquoblindrdquo ap-proach can paradoxically contribute to further rationalizing the field byexposing otherwise unpredictable complex changes in multitrait phe-notypes

The second approach bets on technology without compromise andwill take advantage of continuing technological revolution in biologyand related sciences We recently witnessed the attempt of syntheticbiologists to implement automation as we know it from electronic en-gineering in the design of orthogonal genetic circuits that would co-ordinate the actions of selected microbial chassis (Nielsen et al 2016)The genetic ldquogutsrdquo and pathway enzymes of the chassis can be designedand synthesized de novo or be tailored rapidly with surgical precisionusing new genome editing and protein engineering tools (Huang et al2016 Hutchison et al 2016 Nyerges et al 2016 Ran et al 2013Renata et al 2015) Although the circuit design tools still work pre-dominantly with simple logic gates the robustness and utility of theavailable minimal cells is limited and de novo-designed enzymes havelow activity we can assume that the efficiency reliability and timedemand of such exercises will be further improved by progress incomputer science and artificial intelligence development that couldcrack the complexity of life A purely technological approach wouldomit any unknowns from the DBTA cycle with help of reliable com-putational simulations thus expanding it to DSBTA (Design-Simulate-Build-Test-Analyze) and providing space for construction of whole-cellcatalysts perfectly tailored for specific biodegradation tasks

The challenges of both approaches applied to directed in situ bior-emediation encompass the development of test schemes that will ex-pose engineered organisms to mimicked environmental conditions in-cluding limiting carbon sources lack of oxygen or redox recycling masstransfer perturbations or interspecific predation (Meckenstock et al2015) A critical issue will be the choice and establishment of newchassis organisms better suited to field biotransformations than thecurrently available laboratory strains in terms of resistance to harshconditions including extreme pH temperature osmotic pressure orfluctuating concentrations of toxic chemicals (Adams 2016) Thesenew strains must simultaneously be reliable amenable to genetic ma-nipulation have mapped genomes and ideally metabolic models athand The in situ bioremediation quests will be complicated by thevarying nature of polluting compounds their mixtures and transfor-mation products all of which can be present at a single site (Sarigiannisand Hansen 2012) Future microbial degraders must therefore be de-signed to cope with several problem compounds in parallel and notonly in terms of degradation or mineralization The succesful conver-sion of dangerous contaminants into usable molecules that can be fur-ther valorized by whole-cell or cell-free biocatalysts is a desirablestarting point for the development of new technologies that extendstandard concepts of biodegradation and bioremediation (Dvorak et al2014a Wigginton et al 2012) Microbe-driven trash-to-treasure con-versions are known from established biomass valorization processesbut this concept can also be implemented in wastewater treatmentmetal and plastic recycling or in direct valorization of industrial by-product streams or captured greenhouse gases (Bornscheuer 2016Koutinas et al 2014 Nancharaiah et al 2016 Wierckx et al 2015)

Even so the major challenge to the entire field of engineered de-graders is not related to continued progress in the development of im-proved technologies which is inevitable but rather to the dissemina-tion and popularization of achievements already attained Publicenvironmental concerns and regulatory constraints have not just re-stricted field tests of genetically modified microbes but also affect thequality of fundamental research and by the same token overall pro-gress in the field The exercises described in this review will only have achance to become real enterprises if the general population is inspiredby biotechnology and accepts it as an inseparable part of our dailyroutine as it did for information technology The new systemic dis-ciplines that make life less puzzling as well as emerging do-it-yourselfmovement in biotechnology can undoubtedly contribute to a generalchange of attitude (de Lorenzo and Schmidt 2017) Such change isvital because our ability to minimize production of waste and pollutingchemicals remove existing waste or use it in bioprocesses to formvalue-added compounds will shape the fate of our society on a globalscale

Acknowledgements

PD is the holder of the Marie Sklodowska-Curie grant No 704410(FUTURE) The work in Authors Laboratory was funded by theCAMBIOS Project of the Spanish Ministry of Economy andCompetitiveness RTC-2014-1777-3 (MINECO) HELIOS Project of theSpanish Ministry of Economy and Competitiveness BIO 2015-66960-C3-2-R (MINECOFEDER) and the ARISYS (ERC-2012-ADG-322797)EmPowerPutida (EU-H2020-BIOTEC-2014-2015-6335536) andRaft4Biotech (720776) contracts of the European Union JD is sup-ported also by the Czech Ministry of Education (LQ1605 LO1214LM2015055) and Czech Grant Agency (GA16-06096S) The financialsupport of The Novo Nordisk Foundation to PIN is also gratefully ac-knowledged

References

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Gilbert ES Walker AW Keasling JD 2003 A constructed microbial consortium forbiodegradation of the organophosphorus insecticide parathion Appl MicrobiolBiotechnol 61 77ndash81 httpdxdoiorg101007s00253-002-1203-5

Glass JI Assad-Garcia N Alperovich N Yooseph S Lewis MR Maruf MHutchison CA Smith HO Venter JC 2006 Essential genes of a minimal bac-terium Proc Natl Acad Sci U S A 103 425ndash430 httpdxdoiorg101073pnas0510013103

Glick BR 1995 Metabolic load and heterologous gene expression Biotechnol Adv 13247ndash261

Guazzaroni M-E Herbst F-A Lores I Tamames J Pelaacuteez AI Loacutepez-Corteacutes NAlcaide M Del Pozo MV Vieites JM von Bergen M Gallego JLR BargielaR Loacutepez-Loacutepez A Pieper DH Rosselloacute-Moacutera R Saacutenchez J Seifert J FerrerM 2013 Metaproteogenomic insights beyond bacterial response to naphthaleneexposure and bio-stimulation ISME J 7 122ndash136 httpdxdoiorg101038ismej201282

Gredell JA Frei CS Cirino PC 2012 Protein and RNA engineering to customizemicrobial molecular reporting Biotechnol J 7 477ndash499 httponlinelibrarywileycomdoi101002biot201100266full

Gutierrez T Singleton DR Berry D Yang T Aitken MD Teske A 2013Hydrocarbon-degrading bacteria enriched by the Deepwater Horizon oil spill iden-tified by cultivation and DNA-SIP ISME J 7 2091ndash2104 httpdxdoiorg101038ismej201398

Hadadi N Hafner J Shajkofci A Zisaki A Hatzimanikatis V 2016 ATLAS ofbiochemistry a repository of all possible biochemical reactions for synthetic biologyand metabolic engineering studies ACS Synth Biol 5 1155ndash1166 httpdxdoiorg101021acssynbio6b00054

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He W Yuan S Zhong W-H Siddikee MA Dai C-C 2016 Application of geneti-cally engineered microbial whole-cell biosensors for combined chemosensing ApplMicrobiol Biotechnol 100 1109ndash1119 httpdxdoiorg101007s00253-015-7160-6

Hennig S Roumldel G Ostermann K 2015 Artificial cell-cell communication as anemerging tool in synthetic biology applications J Biol Eng 9 13 httpdxdoiorg101186s13036-015-0011-2

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Hodgman CE Jewett MC 2012 Cell-free synthetic biology thinking outside the cellMetab Eng 14 261ndash269 httpdxdoiorg101016jymben201109002

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Total degradation of pentachloroethane by an engineered Alcaligenes strain expres-sing a modified camphor monooxygenase and a hybrid dioxygenase BiosciBiotechnol Biochem 68 1353ndash1356 httpdxdoiorg101271bbb681353

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Janssen DB Dinkla IJT Poelarends GJ Terpstra P 2005 Bacterial degradation ofxenobiotic compounds evolution and distribution of novel enzyme activitiesEnviron Microbiol 7 1868ndash1882 httpdxdoiorg101111j1462-2920200500966x

Kanehisa M Goto S Sato Y Kawashima M Furumichi M Tanabe M 2014 Datainformation knowledge and principle back to metabolism in KEGG Nucleic AcidsRes 42 D199ndash205 httpdxdoiorg101093nargkt1076

Karig DK 2017 Cell-free synthetic biology for environmental sensing and remediationCurr Opin Biotechnol 45 69ndash75 httpdxdoiorg101016jcopbio201701010

Kellogg ST Chatterjee DK Chakrabarty AM 1981 Plasmid-assisted molecularbreeding new technique for enhanced biodegradation of persistent toxic chemicalsScience 214 1133ndash1135

Khersonsky O Tawfik DS 2010 Enzyme promiscuity a mechanistic and evolutionaryperspective Annu Rev Biochem 79 471ndash505 httpdxdoiorg101146annurev-biochem-030409-143718

Kim J Copley SD 2012 Inhibitory cross-talk upon introduction of a new metabolicpathway into an existing metabolic network Proc Natl Acad Sci U S A 109E2856ndash2864 httpdxdoiorg101073pnas1208509109

Kim S Baek S-H Lee K Hahn J-S 2013a Cellulosic ethanol production using ayeast consortium displaying a minicellulosome and β-glucosidase Microb CellFactories 12 14 httpdxdoiorg1011861475-2859-12-14

Kim J Oliveros JC Nikel PI de Lorenzo V Silva-Rocha R 2013b Transcriptomicfingerprinting of Pseudomonas putida under alternative physiological regimesEnviron Microbiol Rep 5 883ndash891 httpdxdoiorg1011111758-222912090

Kim S Thiessen PA Bolton EE Chen J Fu G Gindulyte A Han L He J He SShoemaker BA Wang J Yu B Zhang J Bryant SH 2016 PubChem substanceand compound databases Nucleic Acids Res 44 D1202ndash1213 httpdxdoiorg101093nargkv951

King ZA Lloyd CJ Feist AM Palsson BO 2015 Next-generation genome-scalemodels for metabolic engineering Curr Opin Biotechnol 35 23ndash29 httpdxdoiorg101016jcopbio201412016

Kleinstiver BP Pattanayak V Prew MS Tsai SQ Nguyen NT Zheng Z JoungJK 2016 High-fidelity CRISPR-Cas9 nucleases with no detectable genome-wide off-target effects Nature 529 490ndash495 httpdxdoiorg101038nature16526

Kosuri S Church GM 2014 Large-scale de novo DNA synthesis technologies andapplications Nat Methods 11 499ndash507 httpdxdoiorg101038nmeth2918

Koutinas AA Vlysidis A Pleissner D Kopsahelis N Lopez Garcia I Kookos IKPapanikolaou S Kwan TH Lin CSK 2014 Valorization of industrial waste andby-product streams via fermentation for the production of chemicals and biopoly-mers Chem Soc Rev 43 2587ndash2627 httpdxdoiorg101039c3cs60293a

Krewski D Andersen ME Mantus E Zeise L 2009 Toxicity testing in the 21stcentury implications for human health risk assessment Risk Anal 29 474ndash479httpdxdoiorg101111j1539-6924200801150x

Kube M Chernikova TN Al-Ramahi Y Beloqui A Lopez-Cortez N Guazzaroni M-E Heipieper HJ Klages S Kotsyurbenko OR Langer I Nechitaylo TYLuumlnsdorf H Fernaacutendez M Juaacuterez S Ciordia S Singer A Kagan O Egorova OPetit PA Stogios P Kim Y Tchigvintsev A Flick R Denaro R Genovese MAlbar JP Reva ON Martiacutenez-Gomariz M Tran H Ferrer M Savchenko AYakunin AF Yakimov MM Golyshina OV Reinhardt R Golyshin PN 2013Genome sequence and functional genomic analysis of the oil-degrading bacteriumOleispira antarctica Nat Commun 4 2156 httpdxdoiorg101038ncomms3156

Kuipers RK Joosten H-J van Berkel WJH Leferink NGH Rooijen E IttmannE van Zimmeren F Jochens H Bornscheuer U Vriend G dos Santos VAPMSchaap PJ 2010 3DM systematic analysis of heterogeneous superfamily data todiscover protein functionalities Proteins 78 2101ndash2113 httpdxdoiorg101002prot22725

Kurumbang NP Dvorak P Bendl J Brezovsky J Prokop Z Damborsky J 2014Computer-assisted engineering of the synthetic pathway for biodegradation of a toxicpersistent pollutant ACS Synth Biol 3 172ndash181 httpdxdoiorg101021sb400147n

Latino DARS Wicker J Guumltlein M Schmid E Kramer S Fenner K 2017 Eawag-Soil in enviPath a new resource for exploring regulatory pesticide soil biodegrada-tion pathways and half-life data Environ Sci Processes Impacts 19 449ndash464httpdxdoiorg101039c6em00697c

Lee J Cao L Ow SY Barrios-Llerena ME Chen W Wood TK Wright PC 2006Proteome changes after metabolic engineering to enhance aerobic mineralization ofcis‑12-dichloroethylene J Proteome Res 5 1388ndash1397 httpdxdoiorg101021pr060008t

Lee JW Na D Park JM Lee J Choi S Lee SY 2012 Systems metabolic en-gineering of microorganisms for natural and non-natural chemicals Nat Chem Biol8 536ndash546 httpdxdoiorg101038nchembio970

Lehrbach PR Zeyer J Reineke W Knackmuss HJ Timmis KN 1984 Enzymerecruitment in vitro use of cloned genes to extend the range of haloaromatics de-graded by Pseudomonas sp strain B13 J Bacteriol 158 1025ndash1032

Li G-Q Ma T Li S-S Li H Liang F-L Liu R-L 2007 Improvement of di-benzothiophene desulfurization activity by removing the gene overlap in the dsz

P Dvořaacutek et al Biotechnology Advances 35 (2017) 845ndash866

863

operon Biosci Biotechnol Biochem 71 849ndash854 httpdxdoiorg101271bbb60189

Li Z Yoshida N Wang A Nan J Liang B Zhang C Zhang D Suzuki D Zhou XXiao Z Katayama A 2015 Anaerobic mineralization of 246-tribromophenol toCO2 by a synthetic microbial community comprising Clostridium Dehalobacter andDesulfatiglans Bioresour Technol 176 225ndash232 httpdxdoiorg101016jbiortech201410097

Libis V Deleacutepine B Faulon J-L 2016 Expanding biosensing abilities through com-puter-aided design of metabolic pathways ACS Synth Biol 5 1076ndash1085 httpdxdoiorg101021acssynbio5b00225

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Liu J Tan L Wang J Wang Z Ni H Li L 2016 Complete biodegradation ofchlorpyrifos by engineered Pseudomonas putida cells expressing surface-immobilizedlaccases Chemosphere 157 200ndash207 httpdxdoiorg101016jchemosphere201605031

Loeschcke A Markert A Wilhelm S Wirtz A Rosenau F Jaeger K-E Drepper T2013 TREX a universal tool for the transfer and expression of biosynthetic pathwaysin bacteria ACS Synth Biol 2 22ndash33 httpdxdoiorg101021sb3000657

Long MR Ong WK Reed JL 2015 Computational methods in metabolic en-gineering for strain design Curr Opin Biotechnol 34 135ndash141 httpdxdoiorg101016jcopbio201412019

Lorenzo V Loza-Tavera H 2011 Microbial bioremediation of chemical pollutants howbacteria cope with multi-stress environmental scenarios In Storz G Hengge R(Eds) Bacterial Stress Responses Second edition ASM Press Washington DC pp481ndash492 httpdxdoiorg1011289781555816841ch30

Lovley DR Phillips EJP Gorby YA Landa ER 1991 Microbial reduction of ur-anium Nature 350 413ndash416 httpdxdoiorg101038350413a0

Lykidis A Peacuterez-Pantoja D Ledger T Mavromatis K Anderson IJ Ivanova NNHooper SD Lapidus A Lucas S Gonzaacutelez B Kyrpides NC 2010 The completemultipartite genome sequence of Cupriavidus necator JMP134 a versatile pollutantdegrader PLoS One 5 e9729 httpdxdoiorg101371journalpone0009729

Marathe NP Pal C Gaikwad SS Jonsson V Kristiansson E Larsson DGJ 2017Untreated urban waste contaminates Indian river sediments with resistance genes tolast resort antibiotics Water Res 124 388ndash397 httpdxdoiorg101016jwatres201707060

Martiacutenez I Mohamed ME-S Rozas D Garciacutea JL Diacuteaz E 2016 Engineering syn-thetic bacterial consortia for enhanced desulfurization and revalorization of oil sulfurcompounds Metab Eng 35 46ndash54 httpdxdoiorg101016jymben201601005

Martiacutenez-Garciacutea E de Lorenzo V 2012 Transposon-based and plasmid-based genetictools for editing genomes of gram-negative bacteria Methods Mol Biol 813267ndash283 (Clifton NJ) httpdxdoiorg101007978-1-61779-412-4_16

Martiacutenez-Garciacutea E de Lorenzo V 2016 The quest for the minimal bacterial genomeCurr Opin Biotechnol 42 216ndash224 httpdxdoiorg101016jcopbio201609001

Martiacutenez-Garciacutea E Aparicio T de Lorenzo V Nikel PI 2014a New transposon toolstailored for metabolic engineering of gram-negative microbial cell factories FrontBioeng Biotechnol 2 46 httpdxdoiorg103389fbioe201400046

Martiacutenez-Garciacutea E Nikel PI Aparicio T de Lorenzo V 2014b Pseudomonas 20genetic upgrading of P putida KT2440 as an enhanced host for heterologous geneexpression Microb Cell Factories 13 159 httpdxdoiorg101186s12934-014-0159-3

Martiacutenez-Garciacutea E Aparicio T Gontildei-Moreno A Fraile S de Lorenzo V 2015 SEVA20 an update of the Standard European Vector Architecture for de-re-constructionof bacterial functionalities Nucleic Acids Res 43 D1183ndash1189 httpdxdoiorg101093nargku1114

Meckenstock RU Elsner M Griebler C Lueders T Stumpp C Aamand J AgathosSN Albrechtsen H-J Bastiaens L Bjerg PL Boon N Dejonghe W HuangWE Schmidt SI Smolders E Soslashrensen SR Springael D van Breukelen BM2015 Biodegradation updating the concepts of control for microbial cleanup incontaminated aquifers Environ Sci Technol 49 7073ndash7081 httpdxdoiorg101021acsest5b00715

Medema MH van Raaphorst R Takano E Breitling R 2012 Computational tools forthe synthetic design of biochemical pathways Nat Rev Microbiol 10 191ndash202httpdxdoiorg101038nrmicro2717

Mendes P Hoops S Sahle S Gauges R Dada J Kummer U 2009 Computationalmodeling of biochemical networks using COPASI Methods Mol Biol 500 17ndash59(Clifton NJ) httpdxdoiorg101007978-1-59745-525-1_2

Minty JJ Singer ME Scholz SA Bae C-H Ahn J-H Foster CE Liao JC LinXN 2013 Design and characterization of synthetic fungal-bacterial consortia fordirect production of isobutanol from cellulosic biomass Proc Natl Acad Sci U S A110 14592ndash14597 httpdxdoiorg101073pnas1218447110

Moraiumls S Shterzer N Lamed R Bayer EA Mizrahi I 2014 A combined cell-con-sortium approach for lignocellulose degradation by specialized Lactobacillus plan-tarum cells Biotechnol Biofuels 7 112 httpdxdoiorg1011861754-6834-7-112

Morgat A Axelsen KB Lombardot T Alcaacutentara R Aimo L Zerara M Niknejad A

Belda E Hyka-Nouspikel N Coudert E Redaschi N Bougueleret L SteinbeckC Xenarios I Bridge A 2015 Updates in Rheamdasha manually curated resource ofbiochemical reactions Nucleic Acids Res 43 D459ndash464 httpdxdoiorg101093nargku961

Mulbry W Ahrens E Karns J 1998 Use of a field-scale biofilter for the degradation ofthe organophosphate insecticide coumaphos in cattle dip wastes Pestic Sci 52268ndash274 httpdxdoiorg101002(SICI)1096-9063(199803)523lt268AID-PS719gt30CO2-2

Muschiol J Peters C Oberleitner N Mihovilovic MD Bornscheuer UT Rudroff F2015 Cascade catalysismdashstrategies and challenges en route to preparative syntheticbiology Chem Commun (Camb) 51 5798ndash5811 httpdxdoiorg101039c4cc08752f

Mutlu BR Yeom S Wackett L Aksan A 2015 Modelling and optimization of abioremediation system utilizing silica gel encapsulated whole-cell biocatalyst ChemEng J 259 574ndash580 httpdxdoiorg101016jcej201407130

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Nancharaiah YV Mohan SV Lens PNL 2016 Biological and bioelectrochemicalrecovery of critical and scarce metals Trends Biotechnol 34 137ndash155 httpdxdoiorg101016jtibtech201511003

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Nielsen AAK Der BS Shin J Vaidyanathan P Paralanov V Strychalski EARoss D Densmore D Voigt CA 2016 Genetic circuit design automation Science352 aac7341 httpdxdoiorg101126scienceaac7341

Nikel PI de Lorenzo V 2013 Engineering an anaerobic metabolic regime inPseudomonas putida KT2440 for the anoxic biodegradation of 13-dichloroprop-1-eneMetab Eng 15 98ndash112 httpdxdoiorg101016jymben201209006

Nikel PI Peacuterez-Pantoja D de Lorenzo V 2013 Why are chlorinated pollutants sodifficult to degrade aerobically Redox stress limits 13-dichloroprop-1-ene metabo-lism by Pseudomonas pavonaceae Philos Trans R Soc Lond Ser B Biol Sci 36820120377 httpdxdoiorg101098rstb20120377

Nikel PI Martiacutenez-Garciacutea E de Lorenzo V 2014 Biotechnological domestication ofpseudomonads using synthetic biology Nat Rev Microbiol 12 368ndash379 httpdxdoiorg101038nrmicro3253

Nikel PI Chavarriacutea M Fuhrer T Sauer U de Lorenzo V 2015 Pseudomonas putidaKT2440 strain metabolizes glucose through a cycle formed by enzymes of the Entner-Doudoroff Embden-Meyerhof-Parnas and pentose phosphate pathways J BiolChem 290 25920ndash25932 httpdxdoiorg101074jbcM115687749

Nikel PI Chavarriacutea M Danchin A de Lorenzo V 2016a From dirt to industrialapplications Pseudomonas putida as a synthetic biology chassis for hosting harshbiochemical reactions Curr Opin Chem Biol 34 20ndash29 httpdxdoiorg101016jcbpa201605011

Nikel PI Peacuterez-Pantoja D de Lorenzo V 2016b Pyridine nucleotide transhy-drogenases enable redox balance of Pseudomonas putida during biodegradation ofaromatic compounds Environ Microbiol 18 3565ndash3582 httpdxdoiorg1011111462-292013434

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Oide S Gunji W Moteki Y Yamamoto S Suda M Jojima T Yukawa H Inui M2015 Thermal and solvent stress cross-tolerance conferred to Corynebacterium glu-tamicum by adaptive laboratory evolution Appl Environ Microbiol 81 2284ndash2298httpdxdoiorg101128AEM03973-14

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Paddon CJ Keasling JD 2014 Semi-synthetic artemisinin a model for the use ofsynthetic biology in pharmaceutical development Nat Rev Microbiol 12 355ndash367httpdxdoiorg101038nrmicro3240

Parales RE Ditty JL 2005 Laboratory evolution of catabolic enzymes and pathwaysCurr Opin Biotechnol 16 315ndash325 httpdxdoiorg101016jcopbio200503008

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Pascual J Udaondo Z Molina L Segura A Esteve-Nuacutentildeez A Caballero A DuqueE Ramos JL van Dillewijn P 2015 Draft genome sequence of Pseudomonas putidaJLR11 a facultative anaerobic 246-trinitrotoluene biotransforming bacteriumGenome Announc 3 httpdxdoiorg101128genomeA00904-15

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Ravikumar S Baylon MG Park SJ Choi J-I 2017 Engineered microbial biosensorsbased on bacterial two-component systems as synthetic biotechnology platforms inbioremediation and biorefinery Microb Cell Factories 16 62 httpdxdoiorg101186s12934-017-0675-z

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Rollin JA Martin del Campo J Myung S Sun F You C Bakovic A Castro RChandrayan SK Wu C-H Adams MWW Senger RS Zhang Y-HP 2015High-yield hydrogen production from biomass by in vitro metabolic engineeringmixed sugars coutilization and kinetic modeling Proc Natl Acad Sci U S A 1124964ndash4969 httpdxdoiorg101073pnas1417719112

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Santacoloma PA Sin G Gernaey KV Woodley JM 2011 Multienzyme-catalyzedprocesses next-generation biocatalysis Org Process Res Dev 15 203ndash212 httpdxdoiorg101021op1002159

Santos CNS Yoshikuni Y 2014 Engineering complex biological systems in bacteriathrough recombinase-assisted genome engineering Nat Protoc 9 1320ndash1336

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Schmidt M (Ed) 2012 Synthetic Biology Industrial and Environmental Applications1st edition Wiley-Blackwell

Schmidt M de Lorenzo V 2016 Synthetic bugs on the loose containment options fordeeply engineered (micro)organisms Curr Opin Biotechnol 38 90ndash96 httpdxdoiorg101016jcopbio201601006

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Scism RA Bachmann BO 2010 Five-component cascade synthesis of nucleotideanalogues in an engineered self-immobilized enzyme aggregate Chembiochem EurJ Chem Biol 11 67ndash70 httpdxdoiorg101002cbic200900620

Scott SR Hasty J 2016 Quorum sensing communication modules for microbialconsortia ACS Synth Biol 5 969ndash977 httpdxdoiorg101021acssynbio5b00286

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Sheldon RA 2011 Characteristic features and biotechnological applications of cross-linked enzyme aggregates (CLEAs) Appl Microbiol Biotechnol 92 467ndash477 httpdxdoiorg101007s00253-011-3554-2

Shi L Dong H Reguera G Beyenal H Lu A Liu J Yu H-Q Fredrickson JK2016 Extracellular electron transfer mechanisms between microorganisms and mi-nerals Nat Rev Microbiol 14 651ndash662 httpdxdoiorg101038nrmicro201693

Si T Xiao H Zhao H 2015 Rapid prototyping of microbial cell factories via genome-scale engineering Biotechnol Adv 33 1420ndash1432 httpdxdoiorg101016jbiotechadv201411007

Silva-Rocha R de Lorenzo V 2014 Engineering multicellular logic in bacteria withmetabolic wires ACS Synth Biol 3 204ndash209 httpdxdoiorg101021sb400064y

Siu K-H Chen RP Sun Q Chen L Tsai S-L Chen W 2015 Synthetic scaffolds forpathway enhancement Curr Opin Biotechnol 36 98ndash106 httpdxdoiorg101016jcopbio201508009

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Sohn SB Kim TY Park JM Lee SY 2010 In silico genome-scale metabolic ana-lysis of Pseudomonas putida KT2440 for polyhydroxyalkanoate synthesis degradationof aromatics and anaerobic survival Biotechnol J 5 739ndash750 httpdxdoiorg101002biot201000124

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St-Pierre F Cui L Priest DG Endy D Dodd IB Shearwin KE 2013 One-stepcloning and chromosomal integration of DNA ACS Synth Biol 2 537ndash541 httpdxdoiorg101021sb400021j

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Tolia NH Joshua-Tor L 2006 Strategies for protein coexpression in Escherichia coliNat Methods 3 55ndash64 httpdxdoiorg101038nmeth0106-55

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Troumlgl J Krhůtkovaacute O Pilařovaacute V Daacuteňovaacute P Holiacuteček R Kohlovaacute M Hejda SSmrčka J Bouškovaacute A Křiklavovaacute L 2012 Removal of nitrates from high-salinitywastewaters from desulphurization process with denitrifying bacteria encapsulated inLentikats Biocatalyst Int J Environ Sci Technol 9 425ndash432 httpdxdoiorg101007s13762-012-0048-4

UniProt Consortium 2015 UniProt a hub for protein information Nucleic Acids Res 43D204ndash212 httpdxdoiorg101093nargku989

Vallenet D Calteau A Cruveiller S Gachet M Lajus A Josso A Mercier JRenaux A Rollin J Rouy Z Roche D Scarpelli C Meacutedigue C 2016MicroScope in 2017 an expanding and evolving integrated resource for communityexpertise of microbial genomes Nucleic Acids Res httpdxdoiorg101093nargkw1101

van Leeuwen JGE Wijma HJ Floor RJ van der Laan J-M Janssen DB 2012

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Directed evolution strategies for enantiocomplementary haloalkane dehalogenasesfrom chemical waste to enantiopure building blocks Chembiochem Eur J ChemBiol 13 137ndash148 httpdxdoiorg101002cbic201100579

Vilchez-Vargas R Junca H Pieper DH 2010 Metabolic networks microbial ecologyand ldquoomicsrdquo technologies towards understanding in situ biodegradation processesEnviron Microbiol 12 3089ndash3104 httpdxdoiorg101111j1462-2920201002340x

Wang HH Isaacs FJ Carr PA Sun ZZ Xu G Forest CR Church GM 2009Programming cells by multiplex genome engineering and accelerated evolutionNature 460 894ndash898 httpdxdoiorg101038nature08187

Wang B Kitney RI Joly N Buck M 2011 Engineering modular and orthogonalgenetic logic gates for robust digital-like synthetic biology Nat Commun 2 508httpdxdoiorg101038ncomms1516

Wang K Schmied WH Chin JW 2012 Reprogramming the genetic code from tri-plet to quadruplet codes Angew Chem Int Ed Eng 51 2288ndash2297 httpdxdoiorg101002anie201105016

Wang B Barahona M Buck M 2013 A modular cell-based biosensor using engineeredgenetic logic circuits to detect and integrate multiple environmental signals BiosensBioelectron 40 368ndash376 httpdxdoiorg101016jbios201208011

Wang L Xue C Wang L Zhao Q Wei W Sun Y 2016 Strain improvement ofChlorella sp for phenol biodegradation by adaptive laboratory evolution BioresourTechnol 205 264ndash268 httpdxdoiorg101016jbiortech201601022

Wei R Oeser T Schmidt J Meier R Barth M Then J Zimmermann W 2016Engineered bacterial polyester hydrolases efficiently degrade polyethylene ter-ephthalate due to relieved product inhibition Biotechnol Bioeng 113 1658ndash1665httpdxdoiorg101002bit25941

Wibberg D Bremges A Dammann-Kalinowski T Maus I Igentildeo MI Vogelsang RKoumlnig C Luque-Almagro VM Roldaacuten MD Sczyrba A Moreno-Viviaacuten CBlasco R Puumlhler A Schluumlter A 2016 Finished genome sequence and methylomeof the cyanide-degrading Pseudomonas pseudoalcaligenes strain CECT5344 as resolvedby single-molecule real-time sequencing J Biotechnol 232 61ndash68 httpdxdoiorg101016jjbiotec201604008

Wicker J Lorsbach T Guumltlein M Schmid E Latino D Kramer S Fenner K 2016enviPathmdashthe environmental contaminant biotransformation pathway resourceNucleic Acids Res 44 D502ndash508 httpdxdoiorg101093nargkv1229

Wierckx N Prieto MA Pomposiello P de Lorenzo V OConnor K Blank LM2015 Plastic waste as a novel substrate for industrial biotechnology MicrobBiotechnol 8 900ndash903 httpdxdoiorg1011111751-791512312

Wigginton N Yeston J Malakoff D 2012 Working with waste More treasure thantrash Introduction Science 337 662ndash663 httpdxdoiorg101126science3376095662

Winsor GL Griffiths EJ Lo R Dhillon BK Shay JA Brinkman FSL 2016Enhanced annotations and features for comparing thousands of Pseudomonas gen-omes in the Pseudomonas genome database Nucleic Acids Res 44 D646ndash653httpdxdoiorg101093nargkv1227

Wittich R-M Wolff P 2007 Growth of the genetically engineered strain Cupriavidusnecator RW112 with chlorobenzoates and technical chlorobiphenyls Microbiology153 186ndash195 httpdxdoiorg101099mic029096-0

Wittich R-M van Dillewijn P Ramos JL 2010 Rational construction of bacterialstrains with newimproved catabolic capabilities for the efficient breakdown of en-vironmental pollutants In Timmis KN (Ed) Handbook of Hydrocarbon and LipidMicrobiology Springer Berlin Heidelberg pp 1247ndash1254

Wolfaardt GM Lawrence JR Robarts RD Caldwell SJ Caldwell DE 1994Multicellular organization in a degradative biofilm community Appl EnvironMicrobiol 60 434ndash446

Wu G Yan Q Jones JA Tang YJ Fong SS Koffas MAG 2016 Metabolicburden cornerstones in synthetic biology and metabolic engineering applicationsTrends Biotechnol 34 652ndash664 httpdxdoiorg101016jtibtech201602010

Xu P Vansiri A Bhan N Koffas MAG 2012 ePathBrick a synthetic biology plat-form for engineering metabolic pathways in E coli ACS Synth Biol 1 256ndash266httpdxdoiorg101021sb300016b

Yadid I Rudolph J Hlouchova K Copley SD 2013 Sequestration of a highly re-active intermediate in an evolving pathway for degradation of pentachlorophenolProc Natl Acad Sci U S A 110 E2182ndash2190 httpdxdoiorg101073pnas1214052110

Yang J Liu R Jiang H Yang Y Qiao C 2012 Selection of a whole-cell biocatalystfor methyl parathion biodegradation Appl Microbiol Biotechnol 95 1625ndash1632httpdxdoiorg101007s00253-011-3792-3

Yang Y Yang J Jiang L 2016 Comment on A bacterium that degrades and assim-ilates poly(ethylene terephthalate) Science 353 759 httpdxdoiorg101126scienceaaf8305

Yoshida S Hiraga K Takehana T Taniguchi I Yamaji H Maeda Y Toyohara KMiyamoto K Kimura Y Oda K 2016a A bacterium that degrades and assimilatespoly(ethylene terephthalate) Science 351 1196ndash1199 httpdxdoiorg101126scienceaad6359

Yoshida S Hiraga K Takehana T Taniguchi I Yamaji H Maeda Y Toyohara KMiyamoto K Kimura Y Oda K 2016b Response to comment on A bacterium thatdegrades and assimilates poly(ethylene terephthalate) Science 353 759 httpdxdoiorg101126scienceaaf8625

Zobel S Benedetti I Eisenbach L de Lorenzo V Wierckx N Blank LM 2015 Tn7-based device for calibrated heterologous gene expression in Pseudomonas putida ACSSynth Biol 4 1341ndash1351 httpdxdoiorg101021acssynbio5b00058

Web references

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httpsenvipathorg accessed 2972017

httpsmetacycorg accessed 2972017

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httpwwwpseudomonascom accessed 2972017

httpswwwncbinlmnihgovgenome accessed 2252017

wwwgenoscopecnsfragcmicroscopehome accessed 2252017

httpsevacnbcsices accessed 2252017

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  • Bioremediation 30 Engineering pollutant-removing bacteria in the times of systemic biology
    • Introduction
    • Approaches and tools of systems biology and metabolic engineering for tailoring biodegradation pathways
      • Step 1 get to know the contaminant and find a suitable catabolic pathway
        • Databases
        • Pathway prediction systems and toxicity prediction algorithms
        • Detection and quantification of pathway building blocks
          • Step 2 select and get to know a suitable microbial host
            • Omics techniques in studies of bacterial degraders
              • Step 3 build the pathway and optimize its performance in the context of host metabolism
                • Computational tools for pathway and strain optimization
                • Experimental tools for pathway and strain optimization
                • Protein engineering to eliminate bottlenecks of biodegradation pathways
                    • Synthetic biology approaches and tools for biodegradation pathway engineering
                      • Development of robust microbial chassis for biodegradation of toxic chemicals
                      • Development of synthetic microbial consortia for enhanced biodegradation and bioremediation of pollutants
                      • Development of orthogonal systems in bacteria to enhance pollutant biodegradation and bioremediation
                      • Engineering microbial biodegradation pathways in vitro
                        • Towards planet-wide bioremediation interventions CO2 capture as a large-scale challenge
                        • Conclusions and perspectives
                        • Acknowledgements
                        • References
                        • Web references
Page 2: Bioremediation 3.0 Engineering pollutant-removing bacteria ... · biology, metabolic engineering, and synthetic biology, for the sake of understanding and reprograming biological

in aerobic or anaerobic conditions Advantageous properties such assmall genome size relative simplicity of the cell short replicationtimes rapid evolution and adaptation to the new environmental con-ditions made microbes and particularly bacteria favourable candidatesfor bioremediation technologies that is in situ or ex situ removal ofpolluting chemicals from the environment using biological agents Theremoval of environmental pollution caused by the extensive activities ofindustrial society is a serious topic that draws the attention of bio-technologists This is because beyond the medical and environmentalconsequences the situation signs considerable potential for growth ofeco-industry focused on clean-up technologies and removal of en-vironmental contaminants In fact valorization of waste chemicals ac-cumulating in industry is one of the pillars of the circular economy andthe 4th Industrial Revolution (Schmidt 2012 Wigginton et al 2012)

The earliest attempts at directed bioremediation although not for-malized as such at the time dated back to the late 19th century with theorigins of the first wastewater treatment plants (Litchfield 2005)Bioremediation began in earnest some 45 years ago with the isolation ofculturable bacteria from contaminated sites and studying their de-gradation pathways The first report on enhanced in situ bioremediationof soil contaminated with peroleum-derived hydrocarbons was pub-lished in 1975 by Raymond et al (1975) Natural microbial degraderswere later applied with success in world-wide and local biotechnolo-gical processes including large-scale wastewater denitrification ur-anium removal and degradation of 12-dichloroethane from ground-water or the organophosphorus pesticide coumaphos from cattle-dipwaste (Francis and Mankin 1977 Lovley et al 1991 Mulbry et al1998 Stucki and Thueer 1995) The advent of technologies for pollu-tant removal using naturally emerging microorganisms could be calledthe era of Bioremediation 10 Even so a number of specific chemicalsespecially of anthropogenic origin including persistent organic pollu-tants such as dichlorodiphenyltrichloroethane (DDT) tri-chloroethylene 123-trichloropropane some polychlorinated biphe-nyls (PCB) or dioxins continued to be resistant to naturalbiodegradation due to lack of efficient microbial catabolic traits whoseevolution was not sufficiently rapid or ended in a deadlock (Janssenet al 2005)

Initial discoveries in molecular biology and progress in biologicalengineering disciplines seemed to provide a partial solution for suchchallenges through rational interventions in the metabolic networks ofselected microbial hosts The rise of recombinant DNA technology al-lowed the transformation of bioremediation from empirical practiceinto an excercise in genetic engineering giving rise to what we mightterm Bioremediation 20 The goal of the new field was to engineerwhole microbes their biodegradation pathways and the correspondingenzymes towards in situ mineralization of target pollutants Such

superbugs were expected to provide an economically feasible en-vironmentally friendly alternative to the costly conventional technol-ogies for pollutant removal available at the time (Ramos et al 2011)The late 1980s and early 1990s represented the golden era of biode-gradation research with numerous engineering attempts following thepioneering work by Chakrabarty and co-workers (Kellogg et al 1981)They described the preparation of recombinant Pseudomonas putidastrains able to break down crude oil by the plasmid-assisted molecularbreeding that is propagation of novel catabolic capabilities throughdirected bacterial conjugation and plasmid transfer The persistence ofmany xenobiotics was attributed mainly to the absence of completedegradative pathways in a single organism (Brenner et al 1994Reineke and Knackmuss 1979) Recruitment of complementary en-zyme sequences by conjugative gene transfer and so called patchworkassembly of several existing natural pathways in a suitable host wasbelieved to generate functional synthetic routes that would allow forthe complete mineralization of persistent target compounds such asPCB (Lehrbach et al 1984 Ramos et al 1987 Rojo et al 1987)

Despite some success with the patchwork strategy and engineering ofsuperbugs with extended substrate scope in laboratory conditions thisinitial and rather naiumlve approach led to many disappointments as well(Cases and de Lorenzo 2005 de Lorenzo 2009) A prominent examplewas the case of engineered Pseudomonas strains that did not grow on 2-chlorotoluene as the only carbon source even though they possessed allthe genetic components presumed necessary for substrate mineraliza-tion (Haro and de Lorenzo 2001) From a contemporary perspectivesuch failures can be explained by lack of insight into important factorssuch as (i) thermodynamic feasibility of assembled catabolic networks(ii) kinetic characteristics of enzymes and physicochemical propertiesof metabolites (iii) expression levels of pathway modules (iv) cross-talk between exogenous and endogenous metabolic routes and (v)stress responses and changes in overall host cell physiology after in-troduction of new metabolic modules and exposure to toxic substratesand metabolites (de Lorenzo 2009 Ramos et al 2011)

Fortunately the last decade has witnessed the onset of what can becalled systemic biology which merges different approaches of systemsbiology metabolic engineering and synthetic biology for the sake ofunderstanding and reprograming biological systems Systemic biologyhas the potential to remove the unknowns and bottlenecks encounteredin past trials and paves the way towards the era of Bioremediation 30The joint power of the systemic biology disciplines can ensure thatbiodegradation and bioremedation using genetically modified micro-organisms will remain a vital concept deserving of the full attention ofnew generations of bioengineers

In this article we review the applications of novel engineeringstrategies to the design and evolution of microbial biodegradation

Table 1Emerging contaminantsSources httptoxicsusgsgov httpwwweugrisinfo (Petrie et al 2015)

Groups of products Classes of chemicals Examples

Human and veterinarypharmaceuticals

Antibiotics anti-parasitic agents ionophores Amoxicillin erythromycin metronidazol tetracycline lincomycinsulfathiazole

Stimulants and drugs including anti-inflammatory anti-diabeticanti-epileptic anti-hypertensive or anti-cancer drugsanticoagulants hallucinogens analgesics β-blockers anti-depressants lipid regulators or erectile dysfunction drugs

Amphetamine cocaine caffeine nicotine propranolol ibuprofencodeine carbamazepine bezafibrate metformin fluoxetine warfarinevalsartan tramadol morphine methandone diazepam ephedrinetamoxifen

Hormones including natural and synthetic estrogens androgens Estrone estriol testosterone progesterone mestranol (ovulationinhibitor) cholesterol

Industrial and householdwastewater products

Insecticides plasticizers detergents flame retardants polycyclicaromatic hydrocarbons antioxidants solvents disinfectantsfumigants fragrances preservatives

Carbaryl chlorpyrifos diethylphtalate p-nonylphenol tri(2-chloroethyl)phosphate naphtalene anthracene 26-di-tert-butylphenol123-trichloropropane phenol 14-dichlorobenzene acetophenone

Personal care products Insect repellents polycyclic musks sunscreen agents fragrancesantiseptics

Bisphenol A 1-benzophenone methylparaben NN-diethyltoluamidetriclosan

Nanomaterials Miscelaneous Nanosilver alumina nanoparticles titanium dioxide fullerenes carbonblack

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846

pathways and whole-cell degraders from the last decade and proposean optimal workflow for pathway design construction and optimiza-tion In particular we discuss the potential of state-of-the-art systemictechnologies not yet fully employed for this purpose including newways to genetically engineer superior CO2 scavengers Lastly the per-spectives of microbial cell factories tailored for biodegradation andbioremediation are critically evaluated

2 Approaches and tools of systems biology and metabolicengineering for tailoring biodegradation pathways

One key objective of systems biology is to gain comprehensivequantitative understanding of living cells by combining high-throughput technologies and computational methods to characterizeand predict cell behaviour (Dai and Nielsen 2015) Metabolic en-gineering first defined as a new scientific discipline by Bailey (1991) isnow understood as the practice of optimizing genetic and regulatoryprocesses within the cells to (i) improve the yield and productivity ofnative products synthesized by organisms (ii) establish the synthesis ofproducts new to the host cell and two points especially relevant forbiodegradation to (iii) extend the range of substrates or improve sub-strate uptake and (iv) improve overall cell robustness (Nielsen et al2014) These goals can be achieved by engineering natural metabolicpathways in the host cell or synthetic routes assembled from enzymesoriginating from different organisms The aims of systems biology co-incide fully with the objectives of metabolic engineering These twodisciplines are now inseparable complement each other and have evenmerged into a field of systems metabolic engineering (Lee et al 2012)Metabolic engineers use systems biology computational tools and lsquoomicrsquotechniques to gain deeper insight into the genetic and physiologicalbackground of target organisms to model enzymatic reactions and todetermine the constraints for efficient biocatalysis To overcome theseconstraints computational tools are applied together with establishedexperimental protocols now frequently strengthened with syntheticbiology standards and fine-tuning adaptive laboratory evolution TheDesign-Build-Test-Analyze (DBTA) cycle is repeated until performance ofthe engineered cell factory is optimized and a cost-effective process canbe established (Paddon and Keasling 2014) It is tempting and logicalto use the same intellectual workflow to engineer biodegradationpathways (Fig 1) The portfolio of systems metabolic engineering toolsapplicable for such purposes will be discussed in more detail in theSection 2 of the review

21 Step 1 get to know the contaminant and find a suitable catabolicpathway

The compound to be degraded or removed from the contaminatedenvironment or industrial waste site is usually the very first componentknown in a project focused on biodegradation or bioremediation Thepolluting chemicals show diverse physicochemical properties can oc-cupy heterogenous physical niches in the environment and exist inconcentrations ranging from ngL to mgL (Meckenstock et al 2015)Industrial waste chemicals prohibited pesticides or warfare agentssuch as 123-trichloropropane γ-hexachlorocyclohexane or yperiterespectively can be available for degradation as stock piles or mixedwith environmental matrix When bioremediation is a method of choicefor removal of the target compound another challenge arises how tofind the most suitable pathway for degradation and ideally completemineralization of the chemical in the huge amount of genetic bio-chemical and microbiological data available As pointed out by Nobellaureate Sydney Brenner we are currently ldquodrowning in a sea of datathirsting for knowledgerdquo New computational tools and algorithmscombined with common sense are the only way to cope with thecomplexity of life find the needle in a haystack and obtain valuableoutput ndash the natural or synthetic pathway or set of pathways mostsuitable for a specific biodegradation task in a selected microbial host

Computational tools can provide the user with relevant information onphysicochemical properties of the target compound and the basicbuilding blocks of the catabolic pathway ndash enzymes and metabolites Awide spectrum of databases and prediction systems that provide usefulinformation on a number of chemicals and biodegradative or biosyn-thetic routes has been developed over the years Comprehensive re-views that focus on evaluation of computational tools mainly for bio-synthetic pathway design have been published in the last few years(Long et al 2015 Medema et al 2012) Chemical and biodegradationdatabases as well as pathway and toxicity prediction systems that mightbe useful for evaluating existing biodegradation pathways or en-gineering new ones were reviewed by Arora and Bae (2014) To avoidduplication here we aim to discuss mainly the updates and applicationsof representative systems for biodegradation pathway design

211 DatabasesThe University of Minnesota BiocatalysisBiodegradation Database

and Pathway Prediction System (UM-BBDPPS) is a remarkable toolthat has garnered microbial pathways for xenobiotics for over 20 yearsand can be considered an advisable first-choice search engine (Gaoet al 2010) In 2014 UM-BBDPPS rights were assigned to Eawag theSwiss Federal Institute of Aquatic Science and Technology and the da-tabase got a new name EAWAG-BBDPPS EAWAG-BBD (httpeawag-bbdethzch) can not only search through 543 microorganism entries219 metabolic routes 1503 reactions 1396 chemicals and 993 en-zymes but also allows prediction of novel biotransformations leadingfrom target xenobiotic substrate to the molecule that can be metabo-lized by central catabolic pathways of a host cell The enviPath tool(The Environmental Contaminant Biotransformation Pathway Re-source httpsenvipathorg) was recently introduced as a rebuiltversion of EAWAG-BBDPPS (Wicker et al 2016) Registered user canemploy enviPath for design of particular biochemical routes and per-sonal databases with biotransformation data as well as for prediction ofnew catabolic pathways In 2017 the same team introduced a newdatabase implanted in enviPath platform Eawag-Soil (Latino et al2017) This public database is a unique repository of data collectedduring laboratory simulations on aerobic degradation of pesticides insoil including biotransformation half-lifes

Although they provide access to much more data in addition tobiodegradation pathways and related content MetaCyc and BioCycdatabases by SRI International should be mentioned as well (Caspiet al 2016) With its 2526 experimentally elucidated pathways from2844 different organisms from all domains of life MetaCyc (httpsmetacycorg) is one of the largest repositories of metabolism data andserves primarily as an on-line encyclopedia in which metabolic routescan be predicted from available sequenced genomes browsed throughor mutually compared The majority of listed compounds and reactionsnow also include the Gibbs free energy values (Caspi et al 2016)BioCyc (httpsbiocycorg) is a collection of 9389 organism-specificPathwayGenome Databases (PGDB the number tripled in the lastthree years) Each PGDB encompasses the sequenced genome andpredicted metabolic network of single organism Moreover informationon individual components such as predicted operons metabolites en-zymes and their reactions or transport systems is provided (Caspi et al2016) BioCyc also provides several useful tools for navigating visua-lizing and analyzing the PGDB and for analyzing omics data BothMetaCyc and BioCyc are linked to numerous other databases UniProt(wwwuniprotorg) a collaboration between the European Bioinfor-matics Institute the SIB Swiss Institute of Bioinformatics and the Pro-tein Information Resource supplies missing information on functionsequence or taxonomy of proteins from metabolic or signalling path-ways and is further interconnected with more specific protein databasessuch as RCSB Protein Data Bank or BRENDA thus completing the pic-ture with structural or kinetic data (Berman et al 2000 Chang et al2015 UniProt Consortium 2015)

P Dvořaacutek et al Biotechnology Advances 35 (2017) 845ndash866

847

212 Pathway prediction systems and toxicity prediction algorithmsThe development of reliable pathway prediction systems is of major

importance for the field of biodegradation as for the numerous an-thropogenic chemicals released into the environment the catabolicpathways are either completely unknown or poorly understood Thesetools consider many factors including substrate specificities bindingsites or reaction mechanisms of enzymes structural changes in sub-strate-product pairs and pathway distance from substrate to product(Medema et al 2012) The pathway prediction system of EAWAG-BBDPPS or enviPath predicts biodegradation routes based on avail-able biotransformation rules derived from reactions found in theEAWAG-BBD database or in the literature (Gao et al 2010 Wickeret al 2016) It can highlight initiating reaction types likely to occur inaerobic environments which in some cases lead to the complete mi-neralization of the contaminant (Fig 2) although it does not define thethermodynamic feasibility of the proposed pathways or the specificenzymes that catalyse proposed reactions This latter information canbe supplemented by the complementary prediction algorithm of a newpublic database RAPID (httprapidumnedurapid) currently beingdeveloped by the group of Lawrence P Wackett at University of Min-nesota The idea of future utility of combined EAWAG-BBD and RAPIDalgorithms was provided recently by Aukema and co-workers who usedthese tools to predict initial metabolism of a set of emerging con-taminants that include recalcitrant pharmaceuticals alkyl phthalatesor fragrance compounds previously shown to be degraded by Para-burkholderia xenovorans LB400 (Aukema et al 2016)

In case of anthropogenic contaminants with unknown or un-complete natural catabolic pathways the Biochemical NetworkIntegrated Computational Explorer (BNICEch) can be recommended aswell (Hatzimanikatis et al 2005) The authors from the Vassily Hat-zimanikatis group at the Swiss Federal Institute of Technology havebeen developing BNICEch one of the first tools for uncovering anddescribing new enzymatic reactions based on known biochemistryforgt 15 years In the latest version the method was coupled with amanually-curated KEGG database generally recognized as one of themost complete repositories of metabolic data (Kanehisa et al 2014)The catalogued biochemistry of the KEGG database was converted into361 bidirectional generalized rules which were applied to explore thepossible space of all metabolic reactions that link the compounds re-ported in the KEGG and are potentially found in nature (Hadadi et al2016) As a result 6528 KEGG reactions and 137416 known or com-pletely new enzymatic reactions between two or more KEGG com-pounds were organized in a reaction web-based database named ATLASof Biochemistry (httplcsb-databasesepflchatlas) Importantly thethermodynamic feasibility of de novo generated reactions was evaluatedand the parameter of Gibbs free energy is a part of the majority ofrecords in the ATLAS database To the benefit of the reaction predictionsystem according to authors up to 80 of the newly added KEGGreactions in 2015 already existed in ATLAS as novel reactions

In biodegradation pathway design BNICEch was first used byFinley and co-workers to propose all possible catabolic routes for 4-chlorobiphenyl phenanthrene γ-hexachlorocyclohexane and 124-

Fig 1 Proposed workflow for engineering biodegradation pathways using systemic biology approaches and tools The Figure sketches the roadmap to contructing superior bacterialcatalysts for environmental bioremediation that capitalize on systems and synthetic biology as explained in this review

P Dvořaacutek et al Biotechnology Advances 35 (2017) 845ndash866

848

trichlorobenzene (124-TCB) compounds that represent various classesof xenobiotics (Finley et al 2009) BNICEch not only reproduced theexperimentally verified pathways but also found completely novel re-actions taking into account the starting compound the requestedlength of the pathway and the broader reaction rules of the EnzymeCommission classification system The 15 novel pathways for 124-TCBwere subsequently probed using thermodynamic analysis and foundenergetically feasible In the follow-up study the authors evaluated thenew routes in the context of Pseudomonas putida KT2440 cellular me-tabolism (Finley et al 2010) They expanded the available P putidametabolic model by including the pathways obtained from BNICEchand metabolic flux analysis was used to predict the maximum biomassgenerated using 124-TCB as the sole carbon source In this way in-teresting alternative pathways were proposed that couple 124-TCB

utilisation with biomass formation Although this work was purelytheoretical it suggests the way for those who wish to use the increasingpower of computational modelling to design biodegradation routes orexplore the fate of xenobiotics in the environment

Prediction tools for assisting the design of robust microbial bio-sensors are highly desirable as well Such biosensors are often based onregulatory proteins or riboswitches able to translate the presence of agiven metabolite or small molecule into a readily measurable readout(Gredell et al 2012 Schallmey et al 2014 Cardinale et al 2017) Butwhat to do when biosensors for a compound of interest do not exist Aninteresting approach to tackle the issue was presented recently byDeleacutepine et al (2016) Their SensiPath algorithm (httpsensipathmicalisfr) stems from the concept of retrosynthesis introduced pre-viously by the same laboratory (Carbonell et al 2014) SensiPath

Fig 2 Initial aerobic biotransformations of theemerging contaminant 123-trichloropropane(TCP) generated by the EAWAG-BBD PathwayPrediction System Reactions are tagged with oneof the 249 biotransformation rules used for thepredictions Reactions proven experimentally tobe catalysed by haloalkane dehalogenase DhaAepoxide hydrolase EchA and halohydrin dehalo-genase HheC in aerobic conditions are high-lighted with thick arrows (Bosma et al 1999)The scheme was adopted and modified fromhttpeawag-bbdethzchpredict Aerobic like-lihood specifies whether the reaction will occur inaerobic conditions exposed to air in soil (mod-erate moisture) or water at neutral pH 25 degCwith no competing compounds AbbreviationsDCP 23-dichloropropane-1-ol ECH epi-chlorohydrin CPD 3-chloropropane-12-diolGDL glycidol

P Dvořaacutek et al Biotechnology Advances 35 (2017) 845ndash866

849

applies more than 9000 unique reaction rules collected from BRENDAMetacyc and Rhea (Morgat et al 2015) databases to find enzymes(currently limited to max two-step reactions) able to convert a targetundetectable organic chemical into a molecule that can be recognizedby a known natural sensing system In the theoretical part of the follow-up study the authors applied SensiPath to expand the range of therebydetectable compounds among chemical structures collected from sev-eral databases (Libis et al 2016) The method almost tripled (from 169to 477) the number of theoretically detectable compounds in theTOX21 database (Krewski et al 2009) The predictive power of themethod was validated in the experimental part of the study Metabolicmodules of up to two enzymes proposed by SensiPath were introducedinto E coli bearing a sensing module for the product of enzymaticconversion at stake Functional whole-cell biosensors for cocaine ni-troglycerin or parathion were constructed in such way Despite thisremarkable contribution the number of undetectable organic chemicalsremains at a highgt 94 of all compounds in TOX21 databaseStrengthening the computational power of tools such as SensiPath willhopefully improve the situation in the near future

The predicted reaction networks can also be pruned using toxicityestimation algorithms to prevent the formation of compounds highytoxic to the host (Benfenati 2007) Besides quantitative structure ac-tivity relationship (QSAR) models which calculate toxicity based on thephysical characteristics of the chemical structures (molecular de-scriptors Eriksson et al 2003) other models have recently been de-veloped to predict toxicity based for example on chemical-chemicalinteractions (Chen et al 2013) QSAR models nonetheless remain theparadigm in the field An interesting example of a QSAR model-basedcomputational tool (httpsabsynthissbgenopolefrBioinformatics)is the toxicity prediction web server EcoliTox (Planson et al 2012)The dataset obtained from screening a diversified chemical library of166 compounds for toxicity in Escherichia coli was used to develop apredictor of toxicity of metabolites throughout the metabolome of thispopular bacterial host Tools similar to the EcoliTox server could beintegrated into a computational framework for improved design ofnative or heterologous biodegradation pathways and used to fine-tunetheir expression in selected microbial hosts A powerful virtualscreening approach currently applied predominantly in drug designstudies (Buryska et al 2016) could be used similarly for syntheticpathway predictions to avoid selection of enzymes whose catalyticmachinery might be inhibited by molecules present in a host cell

213 Detection and quantification of pathway building blocksOnce the suitable pathway is selected another issue arises that of

how to detect and quantify the pathway building blocks - metabolitesand enzymes Detection and accurate quantification of metabolites incomplex reaction mixtures and of functional enzymes produced withinthe cell provide valuable information on pathway performance and itsbottlenecks as well as a background for further optimization of theroute Here the experimental tools and approaches come into play forthe first time in our workflow scheme (Fig 1) The best sensitivity andseparation power is currently provided by chromatographic separationof metabolites followed by mass spectrometry analysis (Buumlscher et al2009) Information on physicochemical properties of compounds(boiling point polarity molecular weight) generated in the pathway isnonetheless crucial for correct choice of a detection method be it gaschromatography liquid chromatography or capillary electrophoresis(Buumlscher et al 2009) Of the numerous chemical databases PubChem(httpspubchemncbinlmnihgov) created in 2004 by the US Na-tional Institutes of Health is the worlds largest free chemistry re-pository into which anyone can deposit data on structures and theirproperties (Kim et al 2016) The database has grown togt 92 millionstructures Bioactivity data of chemical substances manually with-drawn from the scientific literature are saved in PubChem Substanceand Compound databases Integration with other databases allows in-cluding pharmacology toxicology drug target information safety or

handling information to the annotation of chemical records PubChemalso hosts data from important regulatory agencies including the USEnvironmental Protection Agency In 2007 another free repositoryChemSpider (httpwwwchemspidercom) was created and laterpurchased by the UK Royal Society of Chemistry it provides access toover 59 million entries from 487 diverse data sources and can be re-commended as another rich source of knowledge on experimental orpredicted physicochemical properties of compounds

For pathway enzyme detection and absolute quantification SDS-PAGE or better Western blot analysis followed by determination ofenzyme activity have been standard protocols in metabolic engineeringfor many years (Kurumbang et al 2014) When applied to multiple-enzyme pathways however these methods are tedious and time-con-suming Selected Reaction Monitoring Mass Spectrometry protocolsdeveloped in the past few years seem to provide a promising alternativefor absolute protein quantification in the future as they allow rapidsimultaneous quantification of many proteins in the cell with goodselectivity and sensitivity regardless of organism of origin (Batth et al2012)

22 Step 2 select and get to know a suitable microbial host

In addition to catabolic pathway choice or design the selection of asuitable host is a crucial initial step in any engineering project focusedon the development of a whole-cell degrader Over the years severalmicrobial hosts have been considered for application in biodegradationprocesses but no single naturally isolated bacterial strain possesses allthe desired characteristics of the optimal degrader Soil bacteria couldsatisfy many of these requirements because of the conditions they facenaturally in the niches in which they thrive including exposure toenvironmental contaminants and to competing and predatory speciesThese microorganisms have versatile metabolic lifestyles that allowthem to adapt to changing conditions sometimes adverse (oxidativestress temperature challenges osmotic perturbations) P putida is aubiquitous rhizosphere colonizer that belongs to the wide (if somewhatfuzzy) group of fluorescent Pseudomonas P putida KT2440 is the best-characterized saprophytic laboratory pseudomonad that has retained itsability to survive and thrive in the environment Its entire chromosomesequence is available since 2002 (Belda et al 2016 Nelson et al 2002Nikel et al 2014) This strain derives from P putida mt-2 a naturallyoccurring species able to degrade several aromatic compounds throughthe activities encoded in the catabolic TOL plasmid The physiologicaland metabolic properties of pseudomonads argue for their selection asthe starting point for engineering of biodegradation processes In ad-dition to rapid growth and low nutrient demand their extremely ver-satile metabolism and high capacity to supply redox power providingendurance to oxidative stress are several advantages that render Pputida an interesting host for degradation applications (Nikel et al2016a) Most of these properties arise from a very robust central me-tabolism (Fig 3) in which the combined activity of enzymes fromdifferent pathways (ie the EDEMP cycle Nikel et al 2015) endowsthe cells with a large NADPH supply (Chavarriacutea et al 2013) The op-erativity of the EDEMP cycle enables the formation of ATP and NADPHat different rates depending on the amount of trioses phosphate re-cycled Assuming that P putida has (i) a NAD+ dependent glycer-aldehyde-3-P dehydrogenase and a NADP+ dependent glucose-6-P de-hydrogenase (ii) pyruvate as the end product of glycolytic pathwaysand (iii) a negligible flux through 2-ketogluconate the yields of pyr-uvate ATP and NADPH are as indicated in the inset to Fig 3 Theability to sustain high NADPH formation rates is a requisite needed in abacterial host for the implantation of biodegradation pathways(Lorenzo and Loza-Tavera 2011) As will be shown in part in followingsections these beneficial properties are reflected in the increasingnumber of metabolic engineering studies in which P putida appears asone major player

P Dvořaacutek et al Biotechnology Advances 35 (2017) 845ndash866

850

221 Omics techniques in studies of bacterial degradersSystems biology and particularly lsquoomicrsquo techniques contributed

markedly to rational selection of suitable hosts for metabolic en-gineering The enormous amount of genetic information read with first-or next-generation sequencing techniques together with powerful newalgorithms and computational tools to aid with data mining allowedconsiderable progress in our understanding of dynamic interactionsinside and in between cells and the environments they inhabit(Bouhajja et al 2016 Vilchez-Vargas et al 2010) Available genomicdata also enabled new insights into the evolution of microbial meta-bolism towards biodegradation of well-recognized xenobiotics such as135-triazine (Shapir et al 2007) 16S rRNA-phylogenetic microarraysand the functional gene microarrays have been used to monitor mi-crobial community dynamics and to track activities of microbes in thepolluted environments respectively (Chakraborty et al 2012) Thereconstructed genome-scale metabolic models together with tran-scriptomic proteomic metabolomic and flux analyses in variousgrowth and stress conditions completely changed our view of popularbiodegradative bacterial hosts including the paradigmatic P putida(Sohn et al 2010)

For instance fluxomic analyses applied to P putida KT2440 helpedto reveal its distinct strategies for dealing with carbon sources eg byfavouring the routes that generate NADPH which promotes greaterresistance to oxidative stress (Chavarriacutea et al 2013 Nikel et al 2013)Examination of transcriptomic data uncovered the significant portion ofthe P putida genome (ge20) that is differentially expressed when thecells are grown on diverse substrates and emphasized the role of a suiteof global regulators (J Kim et al 2013) Recent complete structural re-annotation of the KT2440 strain genome allowed identification of 1485

CDSs associated to 1898 chemical reactions prediction of catabolicpathways for 92 compounds (carbon nitrogen and phosphorussources) and upgrading of the available genome-scale metabolic model(Belda et al 2016 Puchałka et al 2008) lsquoOmicrsquo analyses greatly in-creased insight into the genetic and physiological background of someother pseudomonads besides KT2440 including P pseudoalcaligenesCECT5344 which might be used for biodegradation of industrial cya-nide-containing wastes or the 246-trinitrotoluene biotransforming Pputida JLR11 (Pascual et al 2015 Wibberg et al 2016) At the time ofwriting this article there are 3133 drafted and 215 completed Pseu-domonas genomes currently available in the Pseudomonas Genome Da-tabase (httpwwwpseudomonascom) perhaps the most compre-hensive genomic database dedicated to a single bacterial genus (Winsoret al 2016)

Complete genomic sequences are currently available for many otherpotentially useful degraders such as Cupriavidus necator JMP134 abacterium with nearly 300 genes involved in the catabolism of aro-matics including chloroaromatics (Lykidis et al 2010) Other ex-amples include but are not limited to the PCBs-degrading Acidovoraxsp strain KKS102 (Ohtsubo et al 2012) the cyclic hydrocarbons-de-grading Alicycliphilus denitrificans strains BC and K601 (Oosterkampet al 2013) or the oil-degrading bacterium Oleispira antarctica whosegenome has provided useful information as to how bacteria mitigate oilspills in cold environments (Kube et al 2013) Genomic sequences ofthese and many other microorganisms with biodegradation capabilitiescan be searched through in comprehensive databases such as NCBIgenome database (httpswwwncbinlmnihgovgenome) or Micro-Scope (httpwwwgenoscopecnsfragcmicroscopehome) a mi-crobial genome annotation and analysis platform (Vallenet et al2016) developed in the Laboratory of Bioinformatics Analyses forGenomics and Metabolism at the National Sequencing Centre (EvryFrance) it provides a complete pipeline for annotations and compara-tive analyses of up to 6000 microbial genomes of which hundreds weremanually curated for accuracy

Despite interest in study of individual bacterial species the fasci-nating in situ systems biology exercise that followed one of the mostalarming ecological disasters in modern human history the 2010 BPDeepwater Horizon spill in the Gulf of Mexico emphasized the irre-placeable role of bacterial communities in natural bioremediationBacteria that can convert oil-derived alkanes and aromatics into thebiomass were identified based on (i) genome reconstructions via me-tagenome sequencing of the DNA from the stable-isotope-probing ex-periments (Dombrowski et al 2016) and (ii) cultivation trials using oilsamples from sea surface and deep sea collected during the outflow(Gutierrez et al 2013) Only the concerted action of many microbialspecies including Cycloclasticus Alcanivorax members of Rhodospir-illales Alteromonas and others augmented by the specific environmentof the oil spill allowed the degradation of the complex mixture thatconsisted of as many as 1000 compounds Metagenomic strategies helpto shed light also on the composition and dynamics of microbial con-sortia that participate in natural biodegradation of chorinated ethenesin contaminated groundwater (Adetutu et al 2015) or polycyclic aro-matic hydrocarbons in soils (Guazzaroni et al 2013)

23 Step 3 build the pathway and optimize its performance in the contextof host metabolism

Optimization of the proposed biochemical pathway in the context ofhost cell metabolism is often the most demanding part of the en-gineering project This is especially true for de novo synthetic pathwayscomposed of enzymes from different sources implanted into a newbacterial host Codon composition of introduced genes might not beoptimal for expression in a heterologous host enzyme activities mightnot be well balanced or might cross-talk with the native metabolicnetwork pathway intermediates can accumulate and inhibit the growthof cells or cofactors ATP or redox carriers might be lacking The

Fig 3 The action of the EDEMP cycle is illustrated with a theoretical example of fluxdistribution in glucose-grown P putida KT2440 Total carbon uptake is considered to be100 (arbitrary units) and glucose can be split into the phosphorylative (Glk) or oxidative(x) branches The net formation rates (v) of pyruvate (Pyr) ATP and NADPH are in-dicated in the inset table with r representing the amount of triose phosphates recycled tohexose phosphates through the action of the EDEMP cycle Note that part of the glucosecan also be oxidized through the action of the so-called peripheral reactions represented bythe overall flux x in the scheme and that two trioses are formed per glucose consumedie a glucose uptake flux of 100 (arbitrary units) will result in a pyruvate flux of 200Abbreviations ED pathway EntnerndashDoudoroff pathway EMP pathwayEmbdenndashMeyerhofndashParnas pathway PP pathway pentose phosphate pathway G6Pglucose-6-P F6P fructose-6-P FBP fructose-16-P2 DHAP dihydroxyacetone-P GA3Pglyceraldehyde-3-P 6PG 6-phosphogluconate KDPG 2-keto-3-deoxy-6-phosphogluco-nate 2KG 2-ketogluconate and 2K6PG 2-keto-6-phosphogluconate Figure adapted andmodified from (Nikel et al 2016a)

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portfolio of systemic tools that can help overcome these issues is ex-panding constantly Here we will center on the major concepts thathave proven useful in tailoring biodegradation pathways and microbialdegraders We will discuss the application of several of these moderntools including the example of engineering the synthetic catabolic routefor 123-trichloropropane (TCP Fig 2) an industrial byproduct ofanthropogenic origin now being recognized as a groundwater con-taminant (Samin and Janssen 2012) TCP is representative of difficult-to-degrade halogenated aliphatic compounds a tough case for re-mediation technologists due to its physicochemical properties toxicityin living organisms and absence of efficient natural catabolic pathway(Janssen et al 2005 Samin and Janssen 2012) The enzymes laterused to compose the first synthetic pathway that allowed mineraliza-tion of TCP by an engineered bacterium had already been described inthe late 1980s and early 90s (Bosma et al 1999) With a historyspanninggt 25 years the engineering of this biodegradation pathwaythus represents one of the most systematic efforts of its kind

231 Computational tools for pathway and strain optimizationThe tremendous increase in the number of sequenced genomes (the

number of complete genomes in the NCBI database has more thandoubled in the last two years) of unicelluar and multicellular organ-isms including the microbial degraders mentioned above led to thereconstruction of genome-scale metabolic models representing all(anotated) biochemical reactions that take place in the living cell (Kinget al 2015) Mathematical models of metabolic networks have a cen-tral role in metabolic engineering and in pathway and strain optimi-zation Modelling can be used to analyze the selected pathway (eg todetermine the distribution of metabolic fluxes) and identify reactionsthat must be modified to improve its performance Genome-scale me-tabolic models are built by compiling data on genes related to bio-chemical reactions from databases such as KEGG and BioCyc The genesare compared to already finalized reconstructions of related organismsto find homologous reactions the draft model is then refined and ver-ified by simulations Flux Balance Analysis (FBA) and Metabolic FluxAnalysis (MFA) are two major approaches that use metabolic models topredict intracellular fluxes (Stephanopoulos 1999) FBA is a theoreticalconcept that uses the stoichiometric coefficients for each reaction in thesystem as the set of constraints for optimization MFA determines in-tracellular fluxes from measurable rates of metabolite uptake and se-cretion in growth medium In a typical experiment substrates labelledwith the non-radioactive isotope 13C are used in chemostat-growncultures to trace fluxes through a cellular network Computational toolssuch as Cobra 20 for Matlab OptKnock or k-OptForce can implementconstraint-based flux calculations and suggest strategies based onknock-out upregulation or downregulation of target genes to optimizemetabolite production without compromising cell growth (Burgardet al 2003 Chowdhury et al 2014 Schellenberger et al 2011) In astudy by Izallalen and colleagues OptKnock was used together with theconstraint-based in silico model of Geobacter sulfurreducens to determinegene deletions which could lead to increased respiration rates (Izallalenet al 2008) Geobacter species are well recognized for their ability todegrade radioactive and toxic metals and have been explored for theirutility in microbial fuel cells (Shi et al 2016) These processes arenonetheless limited by electron transfer rates in cells OptKnock cal-culations followed by genetic constructions by the authors resulted inrecombinant Geobacter cells with decreased ATP levels slower growthrates and predicted higher respiration rates (Izallalen et al 2008)Subsequent genome-wide analysis of gene transcript levels also verifiedthe in silico predictions

Although FBA- and MFA-based approaches can handle genome-scalemetabolic models and require no information on enzyme kinetics theiroutput only gives a steady-state approximation of the dynamic reality inthe living cell Kinetic modelling is an alternative to static flux calcu-lations when reliable kinetic parameters of pathway enzymes and someother input data are available eg specific surface area of the cell

permeability coefficients for substrates metabolite concentrations orapproximate enzyme amount in the cell (Chowdhury et al 2015) Ki-netic constants can be obtained from enzyme databases such asBRENDA or can be determined experimentally One should keep inmind that most kinetic constants deposited in databases are not stan-dardized and also measured in in vitro which might be a limiting factorwhen such data are applied to kinetic modelling in living systems (Costaet al 2011) Computational tools such as COPASI or E-Cell are used toassemble the pathway model in the form of kinetic and differentialequations and to simulate reaction time courses for various conditions(Mendes et al 2009 Takahashi et al 2003) Kinetic models of wholemetabolic networks are the holy grail of metabolic engineering buttheir application in strain design is limited by factors such as un-reliability of parameters non-universality of rate laws need to imple-ment regulatory events or extremely high demand on computationalpower (Chowdhury et al 2015) In contrast the use of kinetic mod-elling to engineer individual metabolic pathways or simpler in vitro-assembled networks is currently more feasible (Muschiol et al 2015)

Recent studies by Dvorak Kurumbang and colleagues are notableexample of kinetic modelling applied in engineering of synthetic bio-degradation pathways (Dvorak et al 2014b Kurumbang et al 2014)As a model these studies centered on detoxification of the industrialwaste compound and water pollutant TCP to glycerol - reaction cata-lysed by the haloalkane dehalogenase DhaA from Rhodococcus rhodo-chrous NCIMB 13064 and the haloalcohol dehalogenase HheC and theepoxide hydrolase EchA from Agrobacterium radiobacter AD1 (Bosmaet al 1999) In vitro steady-state kinetic data obtained for HheC EchAand three variants of DhaA were utilized to develop a kinetic model ofthe reaction that proved useful for revealing major bottlenecks in thepathway that is (i) low activity of wild-type DhaA on TCP and (ii)unbalanced enantioselectivity and enantiospecificity of the first and thesecond enzyme in the route DhaA and HheC respectively (Dvoraket al 2014b) Modelling was further applied to predict optimal enzymestoichiometry and fine-tuning overall pathway efficiency both in invitro conditions and in the heterologous microbial host E coli In E colithe pathway was established as a modular tunable system (Kurumbanget al 2014) Absolute amounts of pathway enzymes in the cell copynumbers of used plasmid vectors and toxicity levels of pathway sub-strate and intermediates were included in the mathematical model asadditional parameters Variants of the pathway predicted to promotebetter host survival in a medium with toxic TCP were verified ex-perimentally The observed precise matching between calculated andexperimental data confirmed the performance of the pathway in E coliand stressed the power of kinetic modelling when reliable parametersare available Finally the kinetic parameters of an optimal DhaA var-iant that would ensure sufficient TCP conversion to glycerol as well ashost cell growth on the toxic substrate were both predicted by mathe-matical modelling

This study shows that for engineering and implanting heterologouspathways complete knowledge of the host cell metabolic background isnot a must and a reliable strain design can be achieved with a relativelysimple mathematical model (Dvorak et al 2014b) Even so similarstudies that combine theoretical and experimental approaches in thedesign of pathways and strains for biodegradation are still rare Mostrecent work in the biodegradation field is restricted to application ofpurely experimental techniques from a repertoire of metabolic en-gineering discussed in the following section

232 Experimental tools for pathway and strain optimizationOnce the bottleneck reaction steps are identified and a solution is

proposed experimental techniques are applied to target the appropriategenes or regulatory mechanisms Engineering is traditionally conductedat the level of gene expression which affects the quantity of proteinGenes in native or synthetic pathways are usually overexpressed byintroducing plasmid vectors with extra copies of desired coding se-quences One popular approach also used for modular assembly of the

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TCP biodegradation pathway described above is to combine NovagenDuet plasmid vectors (Merck Millipore Germany) or derivatives such asePathBrick vectors which carry compatible replication origins andantibiotic markers (Kurumbang et al 2014 Tolia and Joshua-Tor2006 Xu et al 2012) This system allows effective propagation andmaintenance of up to four plasmids in a single E coli BL21 cell withλDE3 lysogen and modular assembly of multi-gene pathways SEVA(Standard European Vector Architecture) plasmids with standardizedarchitecture and nomenclature are an alternative modular vectorsystem tailored to allow cloning or expression of heterologous genes inP putida E coli and other Gram-negative bacteria with no specificneed for strain pretreatment (Martiacutenez-Garciacutea et al 2015) Up to fourplasmids each with one of the six available antibiotic markers (ampi-cillin kanamycin cloramphenicol streptomycin tetracycline genta-micin) four independent replication origins (RK2 pBBR1 pRO1600ColE1 RSF1010) and diverse cargoes can be combined in a single hostcell to fulfill the users needs A rich collection of constructs is alreadyfreely available (httpsevacnbcsices)

A set of compatible SEVA plasmids was used for instance in a studyof Nikel and de Lorenzo (2013) who described extrication of P putidaKT2440 from its strictly aerobic nature which prevents its use in in-dustrial anaerobic fermentors and certain bioremediation applications(Nikel and de Lorenzo 2013) Two scenarios were considered to ex-plain the inability of P putida to grow in anoxic conditions (i) un-balanced energy charge due to limited activity of the respiratory chainand (ii) lack of appropriate pathways for anoxic NADH re-oxidationThis two-fold problem was tackled by recruiting the pyruvate dec-arboxylase (pdc) and alcohol dehydrogenase II (adhB) genes from theanaerobe Zymomonas mobilis and the acetate kinase (ackA) gene fromthe facultative aerobe E coli to manipulate energy generation andredox balance in anoxic conditions To evaluate the potential of therecombinant host for anoxic biotransformations the authors used it as ahost for the haloalkane dehalogenase genes from P pavonaceae strain170 The resulting recombinant which bore two synthetic operons oncompatible plasmids pSEVA234 and pSEVA428 not only survived inanoxic conditions but also degraded the environmental pollutant 13-dichloropropene These results highlight the possibility of harnessingthe full potential of P putida KT2440 as a robust biocatalyst by precisecontrol of its energy and redox metabolism

Despite the widespread use of recombinant plasmids in proof-of-concept studies metabolic engineers must bear in mind that the in-troduction and massive expression of heterologous genes can affect hostfitness due either to additional metabolic load or to depletion of es-sential cofactors in redox reactions (Dvorak et al 2015 Glick 1995Wu et al 2016) This is even more important in the design of robustbacterial degraders that must cope with a spectrum of toxic substratesandor pathway intermediates and might need an additional energycharge and reducing cofators to cope with oxidative stress (Dvoraket al 2015 Nikel et al 2013) By-passing such difficulties is possibleby tuning inducer concentration applying lower-copy-number plasmidswith weaker promoters or by enzyme-mediated co-factor recyclingthrough overexpression of NAD+ kinase transhydrogenases or dehy-drogenases (Dvorak et al 2015 Nikel et al 2016b)

As an alternative expression of heterologous genes directly from thehost chromosome can be beneficial for greater stability of the desiredgenotypephenotype and improved host viability (Martiacutenez-Garciacuteaet al 2014a Santos and Yoshikuni 2014 St-Pierre et al 2013 Zobelet al 2015) Homologous recombination and site-specific or randomtransposition-based techniques have been developed to enable chro-mosomal insertion of single genes gene clusters or whole syntheticoperons or knockouts of genes that encode competing metabolicpathways (Loeschcke et al 2013 Martiacutenez-Garciacutea et al 2014a Santosand Yoshikuni 2014 St-Pierre et al 2013 Zobel et al 2015)

In a study by Samin and co-workers a mutant variant of haloalkanedehalogenase DhaA was introduced into the chromosome of 23-di-chloro-1-propanol-degrading P putida MC4 under the control of a

strong constitutive promoter using the Tn5 transposon-based deliveryvector (Samin et al 2014) Although the complete mineralizationpathway in strain MC4 is not yet fully understood the recombinantPseudomonas was the first microorganism shown to grow aerobically onTCP both in shaken flasks and in packed-bed reactor in continuous-flow conditions Mini-transposon systems have also been used suc-cessfully for chromosomal integration of the whole catabolic cluster asin the study by Wittich and Wolf who transplanted 11 genes from threedistinct bacteria into Cupriavidus necator H850 giving rise to the firstdesigner bacterium to show aerobic growth on a wide range of PCBincluding the two commercial pesticides Aroclor 1221 and Aroclor1232 (Wittich and Wolff 2007)

Gene expression balancing is undoubtedly a powerful metabolic en-gineering concept In addition to the approaches mentioned above forrather rough manipulation of gene expression numerous techniques forfine-tuning expression have been developed in recent years Surgicalcuts including computationally designed ribosome binding sites refinedarchitecture of the whole expression cassette mutagenesis of promoterregions tailored stability of mRNA molecules or altered gene order inthe operon were proven useful for optimizing bisynthetic pathways(Boyle and Silver 2012) In several cases expression adjustment was alsoconsidered in biodegradation pathway design de la Pentildea Mattozzi andco-workers achieved more rapid paraoxon hydrolysis in a recombinantP putida strain by altering the order of three genes in the operon forenzymes that convert one of the initial pathway intermediates (de laPentildea Mattozzi et al 2006) Expression of the dszB gene which encodes2-hydroxybiphenyl-2-sulfinate sulfinolyase the last rate-limiting enzymein the dibenzothiophene biodesulfurization pathway was improved byrearranging gene order and removing the overlapping structure in the dszoperon (Li et al 2007) Nonetheless especially in cases of syntheticmetabolic pathways composed of biocatalysts from diverse organismsthe activity selectivity stability or inhibition bottlenecks of individualenzymes can be too far-reaching to be solved by tuning expression of thecorresponding genes Moreover overexpression of endogenous or exo-genous genes often results in a metabolic burden and lower host viabilitydue to overconsumption of metabolic precursors (amino acids rRNAATP reducing cofactors) to fuel the synthesis of non-essential proteins(Glick 1995 Wu et al 2016) Protein engineering of bottleneck en-zymes then becomes a more reasonable approach

233 Protein engineering to eliminate bottlenecks of biodegradationpathways

Over the last two decades three distinct strategies were developed toallow the construction and identification of mutant enzymes with de-sirable properties (Bornscheuer et al 2012) The earliest approach ra-tional design exploits various computational techniques such as mole-cular docking homology modelling and molecular dynamics simulationstogether with site-directed mutagenesis protocols to generate targetedmutations that result in single or several modified variants of an enzyme(Damborsky and Brezovsky 2014) In contrast directed evolution usesrandom mutagenesis methods and is beneficial especially in cases whenneither the structure nor the catalytic mechanism of the enzyme isavailable (Brakmann 2001) Random methods of directed evolution arecombined with elements of rational enzyme modification to bypasscertain limitations of both approaches This focused directed evolutionapproach targets several specific residues or certain protein regions se-lected on the basis of prior structural and functional knowledge(Bornscheuer et al 2012) Mutation hot spots are chosen experimentallyand on a much larger scale computationally using powerful new al-gorithms and statistical tools such as HotSpot Wizzard or 3DM tool(Bendl et al 2016 Damborsky and Brezovsky 2014 Kuipers et al2010) A clear trend in recent years is the introduction of protein en-gineering into the metabolic engineering workflow

The activities of many enzymes that act on anthropogenic com-pounds are derived from promiscuous activities that are generally veryinefficient (Khersonsky and Tawfik 2010) In such cases protein

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engineering is the only possible solution Numerous reports from thefirst decade of the 2000s describe application of common protein en-gineering methods such as error-prone PCR DNA shuffling site-di-rected or saturation mutagenesis for engineering activity or selectivityof individual catabolic enzymes to halogenated hydrocarbons (Paralesand Ditty 2005 Wittich et al 2010) Recently the new challenge ofaccumulating plastic waste has attracted the attention of protein en-gineers who try to enhance the activities of certain bacterial or fungalenzymes such as esterases lipases or polyster hydrolases to syntheticpolymers including polyethylene terephthalate (PET) or polyurethanes(Wierckx et al 2015) For instance Wei and colleagues applied acomparison of crystal structures and molecular docking combined withside-directed mutagenesis to improve the activity of cutinase TfCut2from Thermobifida fusca KW3 towards PET at elevated temperaturesthat promote degradation of this oil-derived plastic (Wei et al 2016)Subsequent kinetic and in silico energetic analyses confirmed that theimprovement in PET hydrolysis was the result of a relief of productinhibition caused by single point mutation in the enzymes surface-ex-posed active site New unique PETase and MHETase shown to helpbacterium Indonella sakaiensis to depolymerize and utilize PET arepromissing candidates for protein and metabolic engineering exercisesthat might lead to biotechnological recycling of the polymer(Bornscheuer 2016 Yoshida et al 2016a) Alas such a promise is notdevoid of controversy about the very enzymes that could do the job(Yang et al 2016 Yoshida et al 2016b)

The studies reporting the implantation of constructed mutants in thecontext of the whole biodegradative pathway are nonetheless ratherrare Iwakiri and co-workers successfully applied Alcaligenes sp KF711harbouring engineered monooxygenase P450CAM for the dehalogena-tion of pentachloroethane to trichloroethane in anoxic conditions(Iwakiri et al 2004) In another study promiscuous toluene ortho-monooxygenase and epoxide hydrolase were engineered using DNA-shuffling and saturation mutagenesis the use of mutant genes allowedmore rapid aerobic degradation of chlorinated ethenes with less ac-cumulation of stress-inducing intermediates in recombinant E colibearing the synthetic pathway (Lee et al 2006 Rui et al 2004)

Mutants of DhaA the enzyme that initiates dehalogenation of TCPwere used in three of the previously mentioned studies that focused onTCP pathway engineering (Dvorak et al 2014b Kurumbang et al 2014Samin et al 2014) The DhaA31 variant with 29-fold improved catalyticefficiency towards the chlorinated substrate was prepared by combiningmolecular dynamics simulations of product release from the buried ac-tive site with site-directed and saturation mutagenesis in selected hotspots (Pavlova et al 2009) Another promising mutant with the potentialto remove the second serious bottleneck in the synthetic TCPpathwaymdashenantioselectivity of DhaA and high enantiospecificity ofHheCmdashoriginated from the work of van Leeuwen et al (2012) Theauthors targeted DhaA31 to obtain variants that convert TCP pre-dominantly into (R)-DCP which can be further converted by HheC at amuch higher rate than the (S)-enantiomer Five rounds of focused di-rected evolution using saturation mutagenesis with restricted codon setsprovided mutant DhaA r5-90R with 13 new amino acid substitutions andsubstantially improved (R)-selectivity Mutagenesis nevertheless affectedthe activity with TCP which dropped to wild-type DhaA levels themutant was later shown in in vitro and in vivo studies to be of no value forfurther improvement of TCP pathway efficiency (Dvorak et al 2014bKurumbang et al 2014) Additional engineering input is thus needed toobtain DhaA variants with improved activity and modified enantios-electivity that would promote smooth flux through the syntheticpathway (Fig 4) and allow growth of bacterial recombinants in minimalmedium with the toxic substrate (Kurumbang et al 2014)

It will be necessary to accelerate the processes of laboratory evo-lution and screening of new enzymes with enhanced properties inmutant and metagenomic libraries to make protein engineering ofgreater value in optimizing natural and synthetic catabolic pathways(Bouhajja et al 2016) Selection couples an improved enzyme property

with host survival which allows evengt 109 clonesenzyme variants tobe tested in a reasonable time New selection assays based on toxicsubstrate conversions into a harmless utilizable metabolite coupledwith fluorescence-activated sorting of surviving cells could for ex-ample be applied for the enrichment of new dehalogenase variantsfrom libraries prepared by directed evolution or a semi-rational ap-proach (Fernaacutendez-Aacutelvaro et al 2011 Fibinger et al 2015) Severalrecent studies presented workflows for high-throughput screening andcharacterization of improved enzyme variants or novel enzyme activ-ities These test schemes are based on (i) bioinformatic pre-screeningcombined with high-throughput experimental characterization of can-didate proteins (Bastard et al 2014) (ii) completely automated roboticplatforms manipulating clones growing in microtitre plates (Doumlrr et al2016) (iii) microcapillary arrays coupled with fluorescent assays andlaser extraction for recovery of live clones (Chen et al 2016) or (iv)single-cell sorting based on a fluorescent signal from clones with animplemented synthetic genetic circuit responding to a specific meta-bolite (Choi et al 2014) In silico screening of molecules that fit theactive site cavity of an available enzyme structure or reverse screeningof enzymes that can accommodate target substrate could supplementexperimental methods and reduce the time needed for discovery of newbiocatalysts for recalcitrant chemicals Indeed the potential of in silicoscreening methods was demonstrated when investigating cytochromeP450-mediated metabolism of xenobiotics (Raunio et al 2015) In arecent study by Aukema and colleagues docking and molecular dy-namics simulations allowed selection of biphenyl dioxygenase fromParaburkholderia xenovorans LB400 as the best candidate enzyme formetabolizing carbamazepine one of the most commonly identified re-calcitrant pharmaceuticals in rivers (Aukema et al 2016) The ex-perimentally verified rate of carbamazepine degradation by P xeno-vorans cells was 40-times greater than the best reported rates so far

As shown in the preceding sections the available toolbox of systemsbiology metabolic engineering and protein engineering applicable forre-factoring microbes and their catabolic pathways towards more effi-cient biodegradation of waste chemicals and recalcitrant pollutants isbecoming inordinately large Even so the defined workflows standardsand universally applicable principles for strain optimization were longmissing in the field of metabolic engineering despite which the aim toengineer living systems on a rational basis remained prevalent in thecommunity This goal led metabolic engineers to adopt standards andstrategies from another closely related field of synthetic biology thatwas established primarily to program living systems with a high pre-dictability

3 Synthetic biology approaches and tools for biodegradationpathway engineering

The principal underlying thought in synthetic biology is that anyliving system can be considered a set of separate usable componentsthat can be combined by the means of biological engineering in newarrangements to alter existing features or generate new ones (deLorenzo and Danchin 2008) Such biological engineering can be sim-plified by applying principles adopted from electronic engineering andcomputer science to produce predictable robust systems (genetic con-trol systems metabolic pathways chromosomes and whole cells) withnon-natural functions (Paddon and Keasling 2014) This would beachieved through the fabrication of thoroughly characterized stan-dardized recyclable parts From its very beginnings synthetic biologyhas been confronted with the need to define its practice precisely and todevelop clear generally applicable strategies as this was the only wayto guarantee and implement engineering principles in a field as sto-chastic as biology With its tools standards and the DBTA cyclestrategy synthetic biology has contributed as has no other scientificdiscipline to rationalize metabolic engineering Its bottom-up ap-proaches and synthetic devices are being implemented to make morerobust better controllable microbial cell factories Synthetic biology

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can and to some extent already contributes the same service with itsnew concepts to the fields of biodegradation and bioremediation In thethe Section 3 we will discuss examples of beneficial inclusion of syn-thetic biology into strategies for engineering pathways and whole cellsfor biodegradation of waste and polluting chemicals and perspectivesfor these initiatives

31 Development of robust microbial chassis for biodegradation of toxicchemicals

Genetic instability and negatively affected fitness are frequentlyencountered drawbacks of the native microbial hosts tailored by me-tabolic engineering for specific biodegradation purposes Syntheticbiology offers possible solutions for these problems by implementingDNA synthesis and genome editing strategies Both curiosity and pro-spective practical applications drive synthetic biologists to generatemicrobial cells with deleted parts of their genomes that encode re-dundant cryptic or even deleterious functions Such cells endowedwith a reduced genome as foundation to house and support hetero-logous genetic parts are collectively known as chassis (Adams 2016)An extreme case of a chassis is the so-called minimal cell (Glass et al2006) Chassis can be prepared by de novo synthesis of a reduced targetgenome and its implantation into a suitable cell envelope or throughsystematic deletions of non-essential genes in the genomes of an ex-isting natural host Microarray-based oligonucleotide synthesis is cur-rently used to provide a substrate (usually 5ndash50 oligos) for constructionof larger (usually 200ndash3000 bp) synthetic fragments (Kosuri andChurch 2014) Scarless methods including the popular Gibson as-sembly uracil assembly Golden Gate technology ligase cycling reac-tion or yeast recombination are used to combine sequence-verifiedgene-length fragments in even larger complexes (Casini et al 2015)DNA synthesis also allows preparation of standardized genetic parts(promoters ribosome binding sites genes terminators and so on) withverified codon-optimized sequences Despite breakthroughs in genesynthesis and DNA assembly methods this last approach for chassisconstruction seems far more feasible at the moment considering thelesser demand of chromosome editing experiments the constantly ex-panding portfolio of genetic tools and the growing list of micro-organisms with intentionally reduced genomes (Martiacutenez-Garciacutea and de

Lorenzo 2016 Si et al 2015)Discarding non-essential cell functions shows considerable potential

not only for biosynthetic purposes (Hutchison et al 2016) but also fordesigner biodegradation and bioremediation A recent report on thesystematic deletion of 11 non-adjacent genomic regions in P putidaKT2440 (Fig 5) is a unique example of genome streamlining in apopular bacterial host with well-defined biodegradation capabilities(Martiacutenez-Garciacutea et al 2014b) In all 300 genes were eliminated thatis 43 of the entire KT2440 strain genome using the scar-less deletionprocedure based on homologous recombination after in vivo DNAcleavage by the homing Saccharomyces cerevisiae nuclease I-SceI(Martiacutenez-Garciacutea and de Lorenzo 2012) A suite of functions was tar-geted including the complete flagellar machinery whose assembly andfunction drains ATP from the cells and consumes NAD(P)H Four pro-phages two transposons and three components of DNA restriction-modification systems were also eliminated to minimize genetic in-stability The resulting strains designated P putida EM42 and EM383(the latter lacks the recA gene that encodes recombinase A) showedclearly superior growth properties and improved overall physiologicalvigour compared to wild-type KT2440 Moreover due to the higherNADPHNADP+ ratio the reduced-genome strains also better toleratedendogenous oxidative stress a property that provides a crucial ad-vantage for catalysing harsh biodegradation reactions such as aerobicdehalogenation of chlorinated pollutants (Nikel et al 2013)

Despite their reliability and robustness the procedures based onthese genome editing tools are time- and labour-intensive and re-stricted to a limited number of model microorganisms This problem isnow being challenged by new protocols that profit from the type IIbacterial Clustered Regularly Interspaced Short Palindromic Repeats(CRISPR) and CRISPR-associated protein (Cas) Multiple AutomatedGenome Editing (MAGE) and combinations thereof (Barrangou andvan Pijkeren 2016 Wang et al 2009) Nonetheless these technologiesalso suffer from some weaknesses such as generation of numerous off-target mutations The off-target problem of the CRISPR-Cas system wasrecently mitigated by engineering high-fidelity Cas9 nucleases(Kleinstiver et al 2016) In a similar manner the number of off-targetmutations during MAGE was reduced substantially when temperature-sensitive control of the endogenous methyl-directed mismatch repairsystem was introduced into the E coli host together with a dominant

Fig 4 Hypersurface plot describing the effect of catalytic efficiency (kcatKm) and enantioselectivity (E-value) of haloalkane dehalogenase DhaA on the production of glycerol in the TCPpathway The hypersurface was calculated using the mathematical model of the TCP pathway (Dvorak et al 2014b) using the constraints of Kurumbang and co-workers (Kurumbanget al 2014) Positions of four DhaA variants DhaAwt (wild type kcatKm = 70 Mminus1 sminus1 E-value = 1) DhaA r5-90R (kcatKm = 20 Mminus1 sminus1 E-value = 10) DhaA31 (kcatKm = 600 Mminus1 sminus1 E-value = 1) and hypothetical DhaAXX (kcatKm = 700 Mminus1 sminus1 E-value = 10) are indicated by red dots Note that the majority of mutations (orange spheres)introduced into DhaA r5-90R and DhaA31 are adjacent to the active site (red spheres) and to the access tunnels (in green) Hypothetical enzyme DhaAXX with 10-fold improved catalyticefficiency and 10-fold improved enantioselectivity compared to DhaAwt would enable production of 1 mM glycerol (red line) from 2 mM TCP in the culture of recombinant E coliBL21(DE3) within 24 h time interval Such glycerol concentration will be sufficient to support the cell growth Figure was adopted and modified from (Kurumbang et al 2014) (Forinterpretation of the references to colour in this figure legend the reader is referred to the web version of this article)

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negative mutator allele of the E coli mismatch repair protein MutL(Nyerges et al 2016) By placing this highly conserved allele togetherwith λ Red recombinase genes and a temperature-sensitive λ repressoron a single broad-host range plasmid Nyerges and co-workers provideda simplified MAGE variant (pORTMAGE) that allowed genome editingand mutant library generation in several biotechnologically and clini-cally relevant bacterial species with no need for prior modifications ofparental strains The recent discovery of the Ssr protein from P putidaDOT-T1E a functional homologue of the β protein of the λ Red re-combination system paved the way for oligonucleotide-mediatedmultiplex genome engineering in pseudomonads including P putidaKT2440 and its derived platform strains EM42 and EM383 (Aparicioet al 2016) Continuing facilitated reduction of their genomes (dele-tions of multiple repetitive sequences or certain proteases) and genomesof other relevant bacterial hosts will provide more reliable robustchassis for biodegradation pathway engineering

32 Development of synthetic microbial consortia for enhancedbiodegradation and bioremediation of pollutants

An alternative strategy that allows for the emergence of more robustmicrobe-based bioprocesses is just the opposite of the systematic de-velopment of bacterial chassis based on individual wild-type strainsNatural microbial consortia perform complicated biocatalytic taskssuch as lignocellulose degradation wastewater purification or in-testinal food digestion By dividing the labour and metabolic burdenthe consortium members become more flexible when facing complexenvironmental conditions Distribution of catabolic capacity amongcells of a single organism among different bacterial strains or evenamong species from different kingdoms is pivotal this is especially truefor biodegradation of complex toxic chemicals which encompassesmany steps and harmful intermediates with diverse physicochemicalproperties The idea of exploiting consortia for directed biodegradationof polluting compounds and bioremediation of contaminated sites thuslies ready to hand

Application of natural microbial consortia has already shown pro-mise for bioremediation of sites polluted with anthropogenic pesticidessuch as diclofop methyl or atrazine (Baghapour et al 2013 Wolfaardtet al 1994) Together with the new field of synthetic biology attemptsare being made to modify the structure of original natural consortia ordevelop completely new artificial organizations of co-operating mi-croorganisms For example co-culture of engineered E coli SD2 and Pputida KT2440 was used successfully to mineralize the insecticideparathion in shaken flasks and in biofilm culture (Gilbert et al 2003)In another study complete mineralization of 246-tribromophenol aflame-retardant intermediate and pesticide was achieved using an

artificial anaerobe consortium of reductive debrominator Dehalobactersp FTH1 a hydrogen supplier Clostridium sp Ma13 and the 4-chor-ophenol-degrading strain Desulfatiglans parachlorophenolica DS (Li et al2015) Recently Martiacutenez and co-workers introduced an attractive al-ternative strategy for engineering the 4S pathway (Fig 6A) a para-digmatic bioprocess for removal of the recalcitrant sulphur from aro-matic heterocycles in fuels (Martiacutenez et al 2016) The pathwayencoded by dszABCD genes converts the model compound di-benzothiophene (DBT) into sulphur-free 2-hydroxybiphenyl (2HBP)The authors initially synthesized and re-arranged the original genes andoptimized transcriptional and translational signals for P putida KT2440By dividing the pathway into three separate modules expressed in-dividually they were able to define previously unreported bottlenecksin the pathway that is the inhibitory effect of intermediate 2HBP-sulfinate (HBPS) on DszA and DszC monooxygenases and HBPS leakageinto the culture medium from which it could not be transported backinto the cells for further processing To prevent HBPS accumulationtwo P putida strains bearing dszC1-D1 or dszB1A1-D1 modules weremixed as a suspension of resting cells When the strains were combinedat a 14 ratio and added with cell-free extract containing extra DszBalmost 100 of DBT was transformed into 2HBP in assay conditions

Considerable attention is currently being dedicated to developingstrategies for biodegradation of oil and oil-derived chemicals Patowaryand co-workers designed a potent microbial consortium for prospectivedecontamination of sites exposed to polycyclic aromatic hydrocarbonsfrom crude oil (Patowary et al 2016) The authors first inspected thebiodegradative capacity for total petroleum hydrocarbons of 23 bac-terial isolates from petroleum-contaminated soils and subsequentlydesigned 14 artificial consortia based on the five most efficient isolatesThe best designer consortium comprised of two biosurfactant-produ-cing hydrocarbon-degrading strains of Bacillus pumilus and B cereusshowed up to 84 degradation of total petroleum hydrocarbons afterfive weeks as verified by gravimetric FTIR and GCMS analyses Ap-plication of natural or re-designed bacteria and their consortia alsoholds considerable promise for decomposition of oil-derived plasticwaste (Skariyachan et al 2016 Yoshida et al 2016a 2016b)

New tricks for more efficient biodegradation strategies could beadopted from inspiring current research on synthetic consortia designedto decompose and valorize lignocellulosic biomass (Minty et al 2013)Tozakidis and co-workers reported application of an engineered con-sortium of three P putida strains displaying thermophilic en-doglucanase exoglucanase or β-glucosidase for concerted hydrolysis ofcellulose at elevated temperatures (Tozakidis et al 2016) Some studiesdescribe surface display of whole designer cellulosomes ndash syntheticenzymatic nanomachines whose natural counterparts are produced bycertain cellulolytic bacteria that exploit clustered surface-attached

Fig 5 Engineered Pseudomonas putida KT2440 as a newrobust chassis for biodegradation and bioremediationMartiacutenez-Garciacutea and colleagues used in-house genomeediting tools to streamline the chromosome of Pseudomonasputida KT2440 (Martiacutenez-Garciacutea et al 2014b) Deletion of43 of the original genome gave rise to the new platformstrains EM42 and EM383 whose advantageous propertiesmake them useful chassis for engineering biodegradationpathways and other applications

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cellulases for efficient depolymerization of cellulose and hemicellulose(S Kim et al 2013 Moraiumls et al 2014) The vast majority of the workthat exploits surface display systems for whole-cell removal of en-vironmental contaminants has been restricted to individual proteinssuch as laccases methyl parathion hydrolase or triphenylmethane re-ductase (Gao et al 2014 Liu et al 2016 Yang et al 2012) It istempting to expand available surface display technologies with cellu-losome parts for the design of synthetic consortia that would catalysemore complex biodegradation reactions including polymeric substratesor toxic metabolites outside the cells

Despite their true biotechnological potential microbial consortiaremain too complex for directed long-term application either for bio-synthesis or for biodegradation It is still difficult to engineer home-ostasis and evolutionary stability in an artificial multi-cellular systemwhose behaviour becomes unpredictable with time (Escalante et al2015) Attempts to adopt principles of intercellular communication forsynthetic consortia are just at their beginnings (Hennig et al 2015Scott and Hasty 2016) Intensive co-operation of genetic engineers andevolutionary biologists with microbial ecologists and chemists willobviously be needed to derive a deeper understanding of the processesthat rule the formation and survival of natural microbial consortiaLessons learnt from nature can be implemented and combined withcompletely anthropogenic orthogonal genetic devices for more reliabledesign of stable multicellular systems

33 Development of orthogonal systems in bacteria to enhance pollutantbiodegradation and bioremediation

Orthogonal or in other words parallel independent systems1 is a key

concept in synthetic biology as long as such quality makes live systemsmore amenable to bona fide engineering Orthogonalization involveseg use of unnatural genetic codes (for example quadruplet rather thantriplet) alternative transcription-translation machineries toggleswitches and genetic circuits for assembly of novel metabolic andsignalling pathways from proteins containing non-natural amino acids(An and Chin 2009 Wang et al 2012) Such metabolic pathways couldhave new functions and would synthesize or catabolize a fresh spectrumof compounds Ideally orthogonal pathwaysmodules interact mini-mally with their natural counterparts in the host cell This improvespredictability of the component behaviour and prevents inhibitorycross-talk following introduction of the pathway or circuit into an ex-isting metabolic network (Kim and Copley 2012 Kurumbang et al2014) In an orthogonal module the input and output molecules ofgenetic circuitsmdashor enzymes and metabolites of synthetic biochemicalroutesmdashare not degraded or inactivated by side-reactions or physico-chemical conditions of the host cell While complete orthogonality isvirtually impossible in biological systems a practicable level of context-independence is indeed feasible Some examples of claimed orthogonalsystems include simple synthetic genetic circuits switches or designedmetabolic pathways These have the potential to improve function ofindividual engineered bacteria or synthetic consortia as whole-cellbiosensors and degraders of recalcitrant chemicals

Sensitivity robustness and applicability of microbial biosensors fordetecting heavy metals or halogenated hydrocarbons can be greatlyimproved by implementing orthogonal genetic devices (Bereza-Malcolm et al 2015) Thus far simple microbial biosensor designsbased on one input and two-part regulatory systems with promoter andreporter providing a coloured fluorescent bioluminescent or electricsignal prevail in the literature (Ravikumar et al 2017) Reports onmore complex multi-input systems based on Boolean logic gates are stillrare but give us a clue to future developments in the field As firstoutlined by the work of Wang et al (2016) orthogonally acting multi-

Fig 6 Examples of synthetic biology approaches applied toengineering biodegradation pathways and whole-cell de-graders (a) Martiacutenez and co-workers divided the 4Spathway for sulphur removal from aromatic heterocyclesinto two modules (dszC1-D1 and dszB1A1-D1) that wereexpressed individually in two P putida KT2440 strains toform a synthetic consortium (Martiacutenez et al 2016) Com-bining the strains at a 14 ratio and mixing them with cell-free extract from the third strain producing DszB resulted inalmost complete conversion of dibenzothiophene into sul-phur-free 2-hydroxybiphenyl in assay conditions (b) Wanget al constructed a synthetic bacterial consortium in whicheach of the two E coli strains functioned as a double inputsensor with synthetic AND gates for detecting arsenicmercury and copper ions and quorum sensing molecules(3OC6HSL Wang et al 2013) Strain 2 generated redfluorescence only in the presence of all three metal ions inculture (c) Benedetti and colleagues achieved directedtransition between planktonic and biofilm lifestyles of Pputida KT2440 by controlling cyclic di-GMP levels with anorthogonal genetic device composed of the yedQ diguany-late cyclase gene from E coli under the control of the cy-clohexanone-responsive ChnRPchnB regulatory node fromAcinetobacter johnsonii (Benedetti et al 2016) Designedcells with a synthetic operon for 1-chlorobutane biode-gradation formed inducible biofilms with higher dehalo-genase activity than free planktonic bacteria (d) Dvorakand co-workers assembled the first in vitro synthetic biode-gradation pathway for 123-trichloropropane (TCP) bycombining engineered haloalkane dehalogenase DhaA31halohydrin dehalogenase HheC and epoxide hydrolaseEchA immobilized in cross-linked enzyme aggregates(CLEAS) and polyvinyl alcohol particles (LentiKats) (Dvoraket al 2014a) The immobilized pathway converted highconcentrations of toxic TCP into glycerol in contaminatedwater for more than two months of continuous operation in

a bench-top packed bed reactor (For interpretation of the references to colour in this figure legend the reader is referred to the web version of this article)

1 The mathematical and geometrical concept of orthogonality has been adopted first bycomputing science and then by synthetic biology to signify operative independenceSystem A is orthogonal to system B if A does not influence Bmdashand vice versa

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inputmulti-output logic gates will be especially valuable for detectingmixtures of polluting chemicals (organic inorganic or both) by pro-viding a specific signal for each of the constituents (He et al 2016Wang et al 2011) Developing such biosensors is of practical im-portance as polluted environments are usually burdened with nu-merous contaminants that have diverse physicochemical propertiesThe authors engineered a set of two-input E coli-based biosensors withsynthetic AND gates using signalling sensory modules from native two-component signal transduction pathways as well as hrpR and hrpSgenes along with their HrpL promoter element from P syringae Usingthese sensors they detected arsenic mercury copper and zinc ions aswell as quorum sensing molecules in aqueous environment (Wang et al2011) The most advanced design resulted in a triple-input AND logic-gated biosensor that formed a synthetic bacterial consortium in whicheach of the two members acted as a double input sensor (Fig 6B) In thepresence of arsenic and mercury the first strain formed a quorumsensing molecule (3OC6HSL) that diffused freely into the medium andwas sensed together with Cu2+ by the second strain which provided ared fluorescent signal (Wang et al 2013) The fluorescent response wasseen only when all three metal ions were present in the culture

Reliable orthogonal devices will be crucial for engineering artificialcell-cell communication for instance taking advantage of bacterialquorum sensing systems (Hennig et al 2015 Scott and Hasty 2016)Programming the dynamics of subpopulations of synthetic consortiathat perform complex tasks will be only possible with parallel geneticcircuits and signalling molecules unknown to the host cells (Chen et al2015) As stressed by Silva-Rocha and de Lorenzo (2014) catabolicpathways for recalcitrant and xenobiotic compounds could be a reliablesource of wiring devices and molecules These pathways are frequentlyfound in specific types of organisms and metabolic crosstalk can thusbe avoided by implementing components of such networks in suitablehosts For instance aromatic molecules such as benzoate or phenol canbe used as signal inducers that are recognized by regulatory proteinsthat trigeger expression of target genes The recent determination of thecrystal structure of the sensory domain in the phenol-responsive tran-scription activator PoxR ilustrates how aromatics are sensed in bacteria(Patil et al 2016) This study paves the way for wider application ofrationally engineered transcription regulators responsive to aromaticsin the design of synthetic genetic circuits

The dynamic behaviour of the whole biodegradation pathway canalso be better studied when the route is transferred into a distant hostchassis where it acts orthogonally The orthogonal nature of the syn-thetic pathway for TCP biodegradation in the surrogate host E coliBL21 (DE3) described in Section 231 allowed a very good matchbetween in silico predicted and in vivo metabolite concentrations andprecise description of the bottlenecks (Kurumbang et al 2014) as wellas deciphering the contribution of metabolic burden and substratemetabolite toxicity to the fitness cost of TCP biotransformation bywhole-cell catalysts (Dvorak et al 2015) Despite their benefits for suchmechanistic and proof-of-concept studies laboratory E coli strainsmight not be optimally suited for the harsh conditions that accompanybiodegradation and bioremediation processes (Adams 2016 Nicolaouet al 2010) Development of reliable chassis amenable to implantationof orthogonal genetic devices is therefore desirable These new cellplatforms should be based on robust environmental strains of Pseudo-monas Rhodococcus Deinococcus and other microorganisms with broadmetabolic versatility and natural resistance to organic solvents or heavymetals (Adams 2016)

One can also take advantage of other specific properties of en-vironmental bacteria including formation of a robust biofilm As shownrecently by Benedetti and colleagues the actual physical forms ofwhole-cell biocatalysts can be mastered using orthogonal genetic parts(Fig 6C) through the so-called synthetic morphology approach (Benedettiet al 2016) Pseudomonads generate biofilms with biophysical prop-erties that depend on the species Cyclic di-GMP (c-di-GMP) is the keysignal molecule that rules the complex regulatory network mediating

the transition between planktonic cells and biofilm formation Thisfeature was exploited to design an orthogonal genetic device for ma-nipulating the native c-di-GMP biochemistry in P putida thereby con-trolling biofilm formation (Benedetti et al 2016) The E coli yedQ gene(encoding diguanylate cyclase the enzyme that synthesizes c-di-GMPfrom GTP) was placed under control of a tightly regulated cyclohex-anone-responsive expression system A synthetic operon encoding theenzymes needed for 1-chlorobutane biodegradation was also in-troduced in the engineered biofilm-forming P putida strain Upon ac-tivation of the corresponding genetic modules with appropriate in-ducers the resulting P putida biocatalyst displayed high dehalogenaseactivity in robust biofilms

The modern approaches of biological engineering accelerate thedevelopment of whole-cell biocatalysts for in situ bioremediation orbiosensing of emerging environmental pollutants Field applications ofgenetically modified microorganisms are nonetheless restricted bycurrent legislation and hindered by the unreliable behaviour of re-combinant microbes in complex fluctuating environments Syntheticbiology can help to tackle the major problems through the means de-scribed at the beginning of this chapter ie non-canonical geneticcodes and xenobiochemistry which can prevent diffusion of undesiredsequences into the environmental gene pool differentiate recombinantsfrom their natural counterparts and improve robustness and reliabilityof prepared genetic devices whole-cell degraders and biosensors Theexamples of such endeavours were recently reviewed extensively(Schmidt 2010 Schmidt and de Lorenzo 2016) These systems couldbe combined with bioluminiscence fluorescence or DNA watermarkingtechnologies to track the environmental fate of designer degraders orwith inducible suicide systems for discarding degraders once theirmission is completed (Liss et al 2012 Liu et al 2010 Paul et al2005) Yet the path to applied xenobiology is still crooked and manyethical questions remain Another concept from the portfolio of syn-thetic biology that will be discussed in the following section has thepotential to fill the time gap until we obtain reliable whole-cell catalystsand alternative solutions also acceptable for GMO critics will be pro-vided

34 Engineering microbial biodegradation pathways in vitro

The major principle of cell-free synthetic biology is that purifiedbiomolecules or components in crude cell extracts replace intact cellsfor constructing complex biomolecular systems (Hodgman and Jewett2012) To date metabolic networks that encompassgt 10 enzymeshave been reconstructed in vitro (Rollin et al 2015 Schwander et al2016) Cell-free metabolic pathways allow easy verification of bioca-talyst function determination of kinetic parameters as well as eva-luation of the network by kinetic modelling (Santacoloma et al 2011)Note however that assemby of degradative pathways in cell-free sys-tems (whether with purified enzymes or cell extracts) is not only toprototype and parametrize new routes but also for direct use in thefield (Karig 2017) Despite the drawbacks that cell-free systems cannotself-propagate that certain biomolecules can be sensitive to oxidizingenvironments and that their encapsulation and large-scale productionmight be costly these systems offer an appealing means to circumventproblems associated to GMO release to the environment Apart fromincreasing safety they offer other clear benefits For instance in vitrosystems can operate in the presence of toxins that would inhibit or killlive cells and metabolites regulators and enzymes can be produced inoptimized concentrations without interfering with cell componentsMost important for release and predictability the evolutionary oppor-tunities of such non-live agents are zero making the emergence ofunexpected properties virtually impossible

In vitro metabolic networks can suffer from suboptimal efficiencydue to the lower enzyme concentration compared to the extremelydense cell cytoplasm (Hodgman and Jewett 2012) This issue can bemitigated by enzyme immobilization and improved spatial organization

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via synthetic protein or DNA scaffolds that reduce diffusion of pathwayintermediates and promote substrate channeling (Siu et al 2015) Al-ternatively biocatalysts can be precipitated and covalently inter-connected in cross-linked enzyme aggregate particles (Sheldon 2011)this method was applied successfully to synthesize toxic nucleotideanalogues by an immobilized five-enzyme synthetic pathway (Scismand Bachmann 2010) The biochemical route described was completedwith functional ATP regeneration which demonstrates that in vitrotechnologies can cope with another possible drawback ndash limited co-factor recycling

Thus far mainly single immobilized enzymes or whole-cell bioca-talysts have been exploited in biotechnological processes intended toremove polluting chemicals such as polyethylene terephthalate 24-dinitrophenol atrazine or inorganic nitrates (Barth et al 2016Dehghanifard et al 2013 Mutlu et al 2015 Troumlgl et al 2012) In vitroassays with cell-free extracts or purified enzymes respectively helpedto identify an unknown anaerobic pathway for complete phthalatedegradation to CO2 in Thauera chlorobenzoica 3CB-1 or to decipher se-questration of the highly toxic intermediate tetrachlorobenzoquinone inpentachlorophenol degradation pathway in Sphingobium chlor-ophenolicum (Ebenau-Jehle et al 2017 Yadid et al 2013) Geuekeet al showed the benefits of an in vitro engineering approach in themodel of γ-HCH biodegradation pathway (Geueke et al 2013) Theyused a system of two purified enzymes the dehydrochlorinase LinA andthe haloalkane dehalogenase LinB which initiate biotransformation ofγ-HCH a prohibited insecticide They separately incubated five isomersthat form technical HCH (which used to be applied frequently instead ofpure γ-HCH) with various LinALinB ratios and determined metabolicprofiles of sequential biotransformations Analyses of these profileshelped determine the environmental fate of HCH isomers and showedthat the original HCH degradation pathway is optimized by evolutionfor γ-HCH but not for other isomers that co-pollute contaminated sites

The first report of in vitro assembly of a fully functional syntheticbiodegradation pathway was published by Dvorak and co-workers(Dvorak et al 2014a) The authors adopted the cell-free strategy usingimmobilized engineered haloalkane dehalogenase DhaA31 halohydrindehalogenase HheC and epoxide hydrolase EchA for TCP bio-transformation to harmless valuable glycerol in contaminated water(Fig 6D) The practical utility of bacterial recombinants that mineralizeTCP (desccribed in Sections 231 and 232) is limited by substratetoxicity and by legislative barriers on the application of GMO(Kurumbang et al 2014 Samin et al 2014) Probing the function ofthe pathway in in vitro conditions therefore lied ready to hand Theauthors successfully immobilized the pathway in the form of purifiedenzymes or cell-free extracts in cross-linked enzyme aggregates andlens-shaped polyvinyl alcohol particles The immobilized pathwayshowed almost the same efficiency of TCP-to-glycerol conversion asmixture of free enzymes Physicochemical properties of polyvinyl al-cohol lentils allowed recovery from the reaction mixture and recyclingof the pathway In addition the immobilized enzymes retainedgt 50of their initial activities for over 2 months of continuous operation in abench-top packed bed reactor The study indicated that the im-mobilized route removes TCP from heavily contaminated water with apollutant concentration (~1 gL) that would be detrimental to theliving degraders One can anticipate that such conversions of toxic TCPto useful glycerol could even pave the way for prospective valorizationof this waste chemical

Although this biotechnology requires further validation and tuningthe work showed that in vitro assembly of natural or synthetic enzy-matic pathways with engineered enzymes is a promising concept for thebiodegradation of polluting compounds and toxic industrial wasteproducts Transport of such pathways via non-live carriers is relatedconceptually to efforts to produce and release complex therapeuticagents for human use In both cases their application demands thedevelopment of a sort of environmental Galenic science that enablessupply of the engineered biological remedy when and where needed

4 Towards planet-wide bioremediation interventions CO2

capture as a large-scale challenge

Environmental deterioration due to emissions of recalcitrant che-micals seems to pale when compared to the problem of global warmingcaused by the release of greenhouse gases that originate in human ac-tivities The bulk of these gases comprise four natural molecules carbondioxide (CO2) methane (CH4) nitrous oxide (N2O) and ozone (O3) aswell as one class of xenobiotics the chlorofluorocarbons or CFC Giventhe diluted aereal and global nature of this problem the strategiescontemplated for tackling these chemical species differ considerablyfrom those that centre on site-specific pollution issues Most proposalsthus far focus much more on reducing emissions than on capture andreturning to innocuous chemical or mineral forms All these compoundshave their own natural biogeochemical cycle and in theory simplyreducing their input into the biosphere should restore the originalequilibrium (Rockstroumlm et al 2017) Recent ecological thought none-theless postulates that the impact of climate change in many ecosystemsis already irreversible by natural means and call for large-scale inter-ventions that could help to resolve this impasse (de Lorenzo et al2016) In this case what types of options could be considered from asystemic biology perspective

Some incipient attempts have appeared recently mostly in the fieldof engineering bacteria with a greater capacity for non-photosyntheticfixing of CO2 (Erb and Zarzycki 2016) One option is to use the sixalternative pathways of autotrophic carbon fixation known in nature(Fuchs 2011 Hicks et al 2017) as a starting point to optimize suchnatural processes Another possibilty is the invention of new routes byrewiring or modifying existing enzymes in a new configuration A re-markable example of this solution is the work of Antonovsky et al(2016) who showed that combining metabolic rewiring recombinantprotein expression and laboratory evolution enables the production ofsugars and other biomass constituents by a fully functional Calvin-Benson-Bassham (CBB) cycle in E coli In the bacteria designed in thisway carbon is fixed via a refactored CBB cycle whereas reducingpower and energy are derived from pyruvate oxidation (Fig 7) It isinteresting to note how evolutionary approaches adjust fluxes andgenerate connections between the designed CBB cycle and the hostbiochemical network that cannot be predicted or designed

A separate approach was recently developed by Schwander et al(2016) who developed a synthetic route for continuous CO2 fixation invitro by composing a cycle formed of 17 enzymes that convert CO2 intoorganic molecules The cycle was draughted by metabolic retro-synthesis with enzymes from nine organisms from three domains of lifefurther optimized through rounds of protein engineering and metabolicproofreading Although this completely designed pathway has not yetbeen implemented in vivo (eg in a bacterial carrier) it is a question oftime until it is done and propagated throughout an entire microbialcommunity (de Lorenzo et al 2016)

Finally todays systemic approaches enable the invention of en-zymes from scratch through de novo protein design followed by directedevolution which opens perspectives for improving the natural state ofaffairs regarding fixation of CO2 (and other greenhouse gases) as well asvalorization of this waste as biotechnological feedstocks (Huang et al2016 Renata et al 2015) A separate matter is the large-scale de-ployment of the microbial agents for CO2 retrieval Existing technologyallows their implementation in biofilters and bioreactors that captureemissions at source But how can we spread such desirable catalyticproperties at a very large even at planetary level to make a differenceSuch technologies are not yet availablemdashlet alone that they raise a largenumber of safety questions But they must necessarily be developed ifwe are not just to control greenhouse gas discharges but also aim attheir eventual reduction to pre-industrial levels (de Lorenzo et al2016)

Unfortunately greenhouse gases are not the only globally wide-spread molecules to be concerned about Much before global warming

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associated to CO2 emissions became so conspicuous widespread pol-lution by endocrine disruptors (eg alkylphenols bisphenols DDTPCBs polybrominated diphenyl ethers phthalates and per-fluorooctanoic acid) was well documented Moreover other silent pol-lutants originate in the pharmaceutical industry eg antibiotics(Marathe et al 2017) and hormones They end up in a large variety ofecosystems in a diluted but still active form Finally plastics (egpolycarbonate polystyrene polyethylene terephthalate lowhigh-density polyethylene polypropylene and polyvinyl chloride) are cur-rently receiving a considerable focus as a major environmental pro-blem A number of microbial strains able to totally or partially act uponthese compounds have been isolated (see above) but in general thebiodegradation process is very slow The global nature of these types ofpollution thus requires the development of new efficient microbialpathways for their elimination quite a challenge for contemporarysynthetic biologists and metabolic engineers (de Lorenzo 2017)Butmdashas is the case for CO2 capture mentioned abovemdashpathways andhosts able to deploy them are not enough Effective strategies for globaldispersion of biodegradative activities of interest are badly nee-dedmdashperhaps inspired in gene drives or some type of self-propagatingmassive horizontal gene transfer (de Lorenzo et al 2016)

5 Conclusions and perspectives

The practical examples described in the preceding sections showthat technologies of systemic biology offer promise not only for therenaissance of bioremediation using anthropogenically enhanced mi-crobial degraders but also for entry to the new era of Bioremediation30 The bottlenecks described at the beginning of this text are one byone being released or removed with the help of new computational andexperimental tools Databases and pathway prediction systems help the

user to select suitable chemically and energetically feasible traits fordesired tasks Multi-omic analyses provide valuable information thatfacilitates choice of a suitable host Genome-scale and kinetic modelsapplied hand-in-hand with genetic engineering techniques enable tai-loring of gene expression reduction of metabolic burden and pathwayoptimization in the context of host metabolism The visionary conceptsof synthetic biology and global scale CO2 bioremediation open up newdimensions for engineering microbial degraders General work schemesand standards for design building and fine-tuning of selected bio-chemical routes networks and whole-cell biocatalysts are simulta-neously becoming better defined and accepted by the community

Despite the clear progress over the last decade of biochemical andbiological engineering the vast complexity of the living cell remainsthe major hurdle for any attempt for fully rational pathway design Inthe case of biosensing and biodegradation pathway design and pro-spective applications of the genetically-modified microbes this problemis exacerbated by the complexity of intercellular and interspecific in-teractions and by the still poorly understood interplay between thebiotic and abiotic factors that govern contaminant biodegradation inpolluted ecosystems (de Lorenzo 2008 Meckenstock et al 2015) Weassume that in principle there are two ways to address this challengenow and in future

The first admits that complexity of biological systems will not beresolved anytime soon and thus bets on combining rational designs withnatural evolution at the end of the DBTA cycle thus expanding it toDBTAE (Design-Build-Test-Analyze-Evolve) Adaptive laboratory evo-lution (ALE) is a high calibre tool of this approach ALE is now frequentlyused by academic and industrial laboratories to evolve desired prop-erties in environmental bacteria and for fine-tuning recombinant mi-croorganisms but its principles have been well known since the time ofthe very first attempts to modify microbial phenotypes (Kellogg et al

Fig 7 Hemiautotrophic growth of engineered E coli al-lowed by decoupling energy production and carbon fixa-tion The hemiautotrophic growth was observed after per-forming three distinct steps (i) Calvin-Benson-Bassham(CBB) cycle for the biosynthesis of sugars from CO2 wascompleted by introducing only two exogenous enzymaticactivities phosphoribulokinase (prkA) and RuBisCO (ii)phosphoglycerate mutase genes gpmA and gpmM were de-leted to separate central metabolism into two sub-systemsie a CO2-fixing part that included PrkA RuBisCO upperglycolysis and the pentose phosphate pathway and an en-ergy-supplying module that employed lower glycolysis andthe TCA cycle (iii) the engineered strain bearing furthermutations (ΔpfkA ΔpfkB Δzwf) was exposed to the strongselective pressure towards greater carbon fixation in xylose-limited chemostat with a surplus pyruvate and CO2Emerged mutations made designed CBB cycle functionaland the hemiautotrophic strain that replaced utilisation ofxylose with CO2 fixation dominated the populationFigure adapted from Antonovsky et al (2016)

P Dvořaacutek et al Biotechnology Advances 35 (2017) 845ndash866

860

1981) In biodegradation research exposing microorganisms with de-sirable catabolic traits to the target chemical(s) for prolonged intervalsin chemostat or shaken-flask cultures enabled isolation of bacteria ableto use persistent compounds such as 245-trichlorophenoxyacetic acid(the defoliating Agent Orange) or helped improve atrazine degradationrates by Pseudomonas sp ADP or 24-dichlorophenoxyacetic by Ral-stonia sp TFD41 (Devers et al 2008 Kellogg et al 1981 Nakatsuet al 1998) Nonetheless the potential of ALE in engineering microbialdegraders has yet not been fully exploited ALE will be an ideal tool forempowering rationally pre-designed recombinants with resistance todiverse environmental stresses encountered in directed biodegradationprocesses or in polluted ecosystems (Nicolaou et al 2010 Oide et al2015 Wang et al 2016) When combined with whole-genome se-quencing and reverse engineering ALE as an evolutionary ldquoblindrdquo ap-proach can paradoxically contribute to further rationalizing the field byexposing otherwise unpredictable complex changes in multitrait phe-notypes

The second approach bets on technology without compromise andwill take advantage of continuing technological revolution in biologyand related sciences We recently witnessed the attempt of syntheticbiologists to implement automation as we know it from electronic en-gineering in the design of orthogonal genetic circuits that would co-ordinate the actions of selected microbial chassis (Nielsen et al 2016)The genetic ldquogutsrdquo and pathway enzymes of the chassis can be designedand synthesized de novo or be tailored rapidly with surgical precisionusing new genome editing and protein engineering tools (Huang et al2016 Hutchison et al 2016 Nyerges et al 2016 Ran et al 2013Renata et al 2015) Although the circuit design tools still work pre-dominantly with simple logic gates the robustness and utility of theavailable minimal cells is limited and de novo-designed enzymes havelow activity we can assume that the efficiency reliability and timedemand of such exercises will be further improved by progress incomputer science and artificial intelligence development that couldcrack the complexity of life A purely technological approach wouldomit any unknowns from the DBTA cycle with help of reliable com-putational simulations thus expanding it to DSBTA (Design-Simulate-Build-Test-Analyze) and providing space for construction of whole-cellcatalysts perfectly tailored for specific biodegradation tasks

The challenges of both approaches applied to directed in situ bior-emediation encompass the development of test schemes that will ex-pose engineered organisms to mimicked environmental conditions in-cluding limiting carbon sources lack of oxygen or redox recycling masstransfer perturbations or interspecific predation (Meckenstock et al2015) A critical issue will be the choice and establishment of newchassis organisms better suited to field biotransformations than thecurrently available laboratory strains in terms of resistance to harshconditions including extreme pH temperature osmotic pressure orfluctuating concentrations of toxic chemicals (Adams 2016) Thesenew strains must simultaneously be reliable amenable to genetic ma-nipulation have mapped genomes and ideally metabolic models athand The in situ bioremediation quests will be complicated by thevarying nature of polluting compounds their mixtures and transfor-mation products all of which can be present at a single site (Sarigiannisand Hansen 2012) Future microbial degraders must therefore be de-signed to cope with several problem compounds in parallel and notonly in terms of degradation or mineralization The succesful conver-sion of dangerous contaminants into usable molecules that can be fur-ther valorized by whole-cell or cell-free biocatalysts is a desirablestarting point for the development of new technologies that extendstandard concepts of biodegradation and bioremediation (Dvorak et al2014a Wigginton et al 2012) Microbe-driven trash-to-treasure con-versions are known from established biomass valorization processesbut this concept can also be implemented in wastewater treatmentmetal and plastic recycling or in direct valorization of industrial by-product streams or captured greenhouse gases (Bornscheuer 2016Koutinas et al 2014 Nancharaiah et al 2016 Wierckx et al 2015)

Even so the major challenge to the entire field of engineered de-graders is not related to continued progress in the development of im-proved technologies which is inevitable but rather to the dissemina-tion and popularization of achievements already attained Publicenvironmental concerns and regulatory constraints have not just re-stricted field tests of genetically modified microbes but also affect thequality of fundamental research and by the same token overall pro-gress in the field The exercises described in this review will only have achance to become real enterprises if the general population is inspiredby biotechnology and accepts it as an inseparable part of our dailyroutine as it did for information technology The new systemic dis-ciplines that make life less puzzling as well as emerging do-it-yourselfmovement in biotechnology can undoubtedly contribute to a generalchange of attitude (de Lorenzo and Schmidt 2017) Such change isvital because our ability to minimize production of waste and pollutingchemicals remove existing waste or use it in bioprocesses to formvalue-added compounds will shape the fate of our society on a globalscale

Acknowledgements

PD is the holder of the Marie Sklodowska-Curie grant No 704410(FUTURE) The work in Authors Laboratory was funded by theCAMBIOS Project of the Spanish Ministry of Economy andCompetitiveness RTC-2014-1777-3 (MINECO) HELIOS Project of theSpanish Ministry of Economy and Competitiveness BIO 2015-66960-C3-2-R (MINECOFEDER) and the ARISYS (ERC-2012-ADG-322797)EmPowerPutida (EU-H2020-BIOTEC-2014-2015-6335536) andRaft4Biotech (720776) contracts of the European Union JD is sup-ported also by the Czech Ministry of Education (LQ1605 LO1214LM2015055) and Czech Grant Agency (GA16-06096S) The financialsupport of The Novo Nordisk Foundation to PIN is also gratefully ac-knowledged

References

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Glass JI Assad-Garcia N Alperovich N Yooseph S Lewis MR Maruf MHutchison CA Smith HO Venter JC 2006 Essential genes of a minimal bac-terium Proc Natl Acad Sci U S A 103 425ndash430 httpdxdoiorg101073pnas0510013103

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Guazzaroni M-E Herbst F-A Lores I Tamames J Pelaacuteez AI Loacutepez-Corteacutes NAlcaide M Del Pozo MV Vieites JM von Bergen M Gallego JLR BargielaR Loacutepez-Loacutepez A Pieper DH Rosselloacute-Moacutera R Saacutenchez J Seifert J FerrerM 2013 Metaproteogenomic insights beyond bacterial response to naphthaleneexposure and bio-stimulation ISME J 7 122ndash136 httpdxdoiorg101038ismej201282

Gredell JA Frei CS Cirino PC 2012 Protein and RNA engineering to customizemicrobial molecular reporting Biotechnol J 7 477ndash499 httponlinelibrarywileycomdoi101002biot201100266full

Gutierrez T Singleton DR Berry D Yang T Aitken MD Teske A 2013Hydrocarbon-degrading bacteria enriched by the Deepwater Horizon oil spill iden-tified by cultivation and DNA-SIP ISME J 7 2091ndash2104 httpdxdoiorg101038ismej201398

Hadadi N Hafner J Shajkofci A Zisaki A Hatzimanikatis V 2016 ATLAS ofbiochemistry a repository of all possible biochemical reactions for synthetic biologyand metabolic engineering studies ACS Synth Biol 5 1155ndash1166 httpdxdoiorg101021acssynbio6b00054

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He W Yuan S Zhong W-H Siddikee MA Dai C-C 2016 Application of geneti-cally engineered microbial whole-cell biosensors for combined chemosensing ApplMicrobiol Biotechnol 100 1109ndash1119 httpdxdoiorg101007s00253-015-7160-6

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Total degradation of pentachloroethane by an engineered Alcaligenes strain expres-sing a modified camphor monooxygenase and a hybrid dioxygenase BiosciBiotechnol Biochem 68 1353ndash1356 httpdxdoiorg101271bbb681353

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Kim J Oliveros JC Nikel PI de Lorenzo V Silva-Rocha R 2013b Transcriptomicfingerprinting of Pseudomonas putida under alternative physiological regimesEnviron Microbiol Rep 5 883ndash891 httpdxdoiorg1011111758-222912090

Kim S Thiessen PA Bolton EE Chen J Fu G Gindulyte A Han L He J He SShoemaker BA Wang J Yu B Zhang J Bryant SH 2016 PubChem substanceand compound databases Nucleic Acids Res 44 D1202ndash1213 httpdxdoiorg101093nargkv951

King ZA Lloyd CJ Feist AM Palsson BO 2015 Next-generation genome-scalemodels for metabolic engineering Curr Opin Biotechnol 35 23ndash29 httpdxdoiorg101016jcopbio201412016

Kleinstiver BP Pattanayak V Prew MS Tsai SQ Nguyen NT Zheng Z JoungJK 2016 High-fidelity CRISPR-Cas9 nucleases with no detectable genome-wide off-target effects Nature 529 490ndash495 httpdxdoiorg101038nature16526

Kosuri S Church GM 2014 Large-scale de novo DNA synthesis technologies andapplications Nat Methods 11 499ndash507 httpdxdoiorg101038nmeth2918

Koutinas AA Vlysidis A Pleissner D Kopsahelis N Lopez Garcia I Kookos IKPapanikolaou S Kwan TH Lin CSK 2014 Valorization of industrial waste andby-product streams via fermentation for the production of chemicals and biopoly-mers Chem Soc Rev 43 2587ndash2627 httpdxdoiorg101039c3cs60293a

Krewski D Andersen ME Mantus E Zeise L 2009 Toxicity testing in the 21stcentury implications for human health risk assessment Risk Anal 29 474ndash479httpdxdoiorg101111j1539-6924200801150x

Kube M Chernikova TN Al-Ramahi Y Beloqui A Lopez-Cortez N Guazzaroni M-E Heipieper HJ Klages S Kotsyurbenko OR Langer I Nechitaylo TYLuumlnsdorf H Fernaacutendez M Juaacuterez S Ciordia S Singer A Kagan O Egorova OPetit PA Stogios P Kim Y Tchigvintsev A Flick R Denaro R Genovese MAlbar JP Reva ON Martiacutenez-Gomariz M Tran H Ferrer M Savchenko AYakunin AF Yakimov MM Golyshina OV Reinhardt R Golyshin PN 2013Genome sequence and functional genomic analysis of the oil-degrading bacteriumOleispira antarctica Nat Commun 4 2156 httpdxdoiorg101038ncomms3156

Kuipers RK Joosten H-J van Berkel WJH Leferink NGH Rooijen E IttmannE van Zimmeren F Jochens H Bornscheuer U Vriend G dos Santos VAPMSchaap PJ 2010 3DM systematic analysis of heterogeneous superfamily data todiscover protein functionalities Proteins 78 2101ndash2113 httpdxdoiorg101002prot22725

Kurumbang NP Dvorak P Bendl J Brezovsky J Prokop Z Damborsky J 2014Computer-assisted engineering of the synthetic pathway for biodegradation of a toxicpersistent pollutant ACS Synth Biol 3 172ndash181 httpdxdoiorg101021sb400147n

Latino DARS Wicker J Guumltlein M Schmid E Kramer S Fenner K 2017 Eawag-Soil in enviPath a new resource for exploring regulatory pesticide soil biodegrada-tion pathways and half-life data Environ Sci Processes Impacts 19 449ndash464httpdxdoiorg101039c6em00697c

Lee J Cao L Ow SY Barrios-Llerena ME Chen W Wood TK Wright PC 2006Proteome changes after metabolic engineering to enhance aerobic mineralization ofcis‑12-dichloroethylene J Proteome Res 5 1388ndash1397 httpdxdoiorg101021pr060008t

Lee JW Na D Park JM Lee J Choi S Lee SY 2012 Systems metabolic en-gineering of microorganisms for natural and non-natural chemicals Nat Chem Biol8 536ndash546 httpdxdoiorg101038nchembio970

Lehrbach PR Zeyer J Reineke W Knackmuss HJ Timmis KN 1984 Enzymerecruitment in vitro use of cloned genes to extend the range of haloaromatics de-graded by Pseudomonas sp strain B13 J Bacteriol 158 1025ndash1032

Li G-Q Ma T Li S-S Li H Liang F-L Liu R-L 2007 Improvement of di-benzothiophene desulfurization activity by removing the gene overlap in the dsz

P Dvořaacutek et al Biotechnology Advances 35 (2017) 845ndash866

863

operon Biosci Biotechnol Biochem 71 849ndash854 httpdxdoiorg101271bbb60189

Li Z Yoshida N Wang A Nan J Liang B Zhang C Zhang D Suzuki D Zhou XXiao Z Katayama A 2015 Anaerobic mineralization of 246-tribromophenol toCO2 by a synthetic microbial community comprising Clostridium Dehalobacter andDesulfatiglans Bioresour Technol 176 225ndash232 httpdxdoiorg101016jbiortech201410097

Libis V Deleacutepine B Faulon J-L 2016 Expanding biosensing abilities through com-puter-aided design of metabolic pathways ACS Synth Biol 5 1076ndash1085 httpdxdoiorg101021acssynbio5b00225

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Liu J Tan L Wang J Wang Z Ni H Li L 2016 Complete biodegradation ofchlorpyrifos by engineered Pseudomonas putida cells expressing surface-immobilizedlaccases Chemosphere 157 200ndash207 httpdxdoiorg101016jchemosphere201605031

Loeschcke A Markert A Wilhelm S Wirtz A Rosenau F Jaeger K-E Drepper T2013 TREX a universal tool for the transfer and expression of biosynthetic pathwaysin bacteria ACS Synth Biol 2 22ndash33 httpdxdoiorg101021sb3000657

Long MR Ong WK Reed JL 2015 Computational methods in metabolic en-gineering for strain design Curr Opin Biotechnol 34 135ndash141 httpdxdoiorg101016jcopbio201412019

Lorenzo V Loza-Tavera H 2011 Microbial bioremediation of chemical pollutants howbacteria cope with multi-stress environmental scenarios In Storz G Hengge R(Eds) Bacterial Stress Responses Second edition ASM Press Washington DC pp481ndash492 httpdxdoiorg1011289781555816841ch30

Lovley DR Phillips EJP Gorby YA Landa ER 1991 Microbial reduction of ur-anium Nature 350 413ndash416 httpdxdoiorg101038350413a0

Lykidis A Peacuterez-Pantoja D Ledger T Mavromatis K Anderson IJ Ivanova NNHooper SD Lapidus A Lucas S Gonzaacutelez B Kyrpides NC 2010 The completemultipartite genome sequence of Cupriavidus necator JMP134 a versatile pollutantdegrader PLoS One 5 e9729 httpdxdoiorg101371journalpone0009729

Marathe NP Pal C Gaikwad SS Jonsson V Kristiansson E Larsson DGJ 2017Untreated urban waste contaminates Indian river sediments with resistance genes tolast resort antibiotics Water Res 124 388ndash397 httpdxdoiorg101016jwatres201707060

Martiacutenez I Mohamed ME-S Rozas D Garciacutea JL Diacuteaz E 2016 Engineering syn-thetic bacterial consortia for enhanced desulfurization and revalorization of oil sulfurcompounds Metab Eng 35 46ndash54 httpdxdoiorg101016jymben201601005

Martiacutenez-Garciacutea E de Lorenzo V 2012 Transposon-based and plasmid-based genetictools for editing genomes of gram-negative bacteria Methods Mol Biol 813267ndash283 (Clifton NJ) httpdxdoiorg101007978-1-61779-412-4_16

Martiacutenez-Garciacutea E de Lorenzo V 2016 The quest for the minimal bacterial genomeCurr Opin Biotechnol 42 216ndash224 httpdxdoiorg101016jcopbio201609001

Martiacutenez-Garciacutea E Aparicio T de Lorenzo V Nikel PI 2014a New transposon toolstailored for metabolic engineering of gram-negative microbial cell factories FrontBioeng Biotechnol 2 46 httpdxdoiorg103389fbioe201400046

Martiacutenez-Garciacutea E Nikel PI Aparicio T de Lorenzo V 2014b Pseudomonas 20genetic upgrading of P putida KT2440 as an enhanced host for heterologous geneexpression Microb Cell Factories 13 159 httpdxdoiorg101186s12934-014-0159-3

Martiacutenez-Garciacutea E Aparicio T Gontildei-Moreno A Fraile S de Lorenzo V 2015 SEVA20 an update of the Standard European Vector Architecture for de-re-constructionof bacterial functionalities Nucleic Acids Res 43 D1183ndash1189 httpdxdoiorg101093nargku1114

Meckenstock RU Elsner M Griebler C Lueders T Stumpp C Aamand J AgathosSN Albrechtsen H-J Bastiaens L Bjerg PL Boon N Dejonghe W HuangWE Schmidt SI Smolders E Soslashrensen SR Springael D van Breukelen BM2015 Biodegradation updating the concepts of control for microbial cleanup incontaminated aquifers Environ Sci Technol 49 7073ndash7081 httpdxdoiorg101021acsest5b00715

Medema MH van Raaphorst R Takano E Breitling R 2012 Computational tools forthe synthetic design of biochemical pathways Nat Rev Microbiol 10 191ndash202httpdxdoiorg101038nrmicro2717

Mendes P Hoops S Sahle S Gauges R Dada J Kummer U 2009 Computationalmodeling of biochemical networks using COPASI Methods Mol Biol 500 17ndash59(Clifton NJ) httpdxdoiorg101007978-1-59745-525-1_2

Minty JJ Singer ME Scholz SA Bae C-H Ahn J-H Foster CE Liao JC LinXN 2013 Design and characterization of synthetic fungal-bacterial consortia fordirect production of isobutanol from cellulosic biomass Proc Natl Acad Sci U S A110 14592ndash14597 httpdxdoiorg101073pnas1218447110

Moraiumls S Shterzer N Lamed R Bayer EA Mizrahi I 2014 A combined cell-con-sortium approach for lignocellulose degradation by specialized Lactobacillus plan-tarum cells Biotechnol Biofuels 7 112 httpdxdoiorg1011861754-6834-7-112

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Belda E Hyka-Nouspikel N Coudert E Redaschi N Bougueleret L SteinbeckC Xenarios I Bridge A 2015 Updates in Rheamdasha manually curated resource ofbiochemical reactions Nucleic Acids Res 43 D459ndash464 httpdxdoiorg101093nargku961

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Muschiol J Peters C Oberleitner N Mihovilovic MD Bornscheuer UT Rudroff F2015 Cascade catalysismdashstrategies and challenges en route to preparative syntheticbiology Chem Commun (Camb) 51 5798ndash5811 httpdxdoiorg101039c4cc08752f

Mutlu BR Yeom S Wackett L Aksan A 2015 Modelling and optimization of abioremediation system utilizing silica gel encapsulated whole-cell biocatalyst ChemEng J 259 574ndash580 httpdxdoiorg101016jcej201407130

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Nancharaiah YV Mohan SV Lens PNL 2016 Biological and bioelectrochemicalrecovery of critical and scarce metals Trends Biotechnol 34 137ndash155 httpdxdoiorg101016jtibtech201511003

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Nielsen AAK Der BS Shin J Vaidyanathan P Paralanov V Strychalski EARoss D Densmore D Voigt CA 2016 Genetic circuit design automation Science352 aac7341 httpdxdoiorg101126scienceaac7341

Nikel PI de Lorenzo V 2013 Engineering an anaerobic metabolic regime inPseudomonas putida KT2440 for the anoxic biodegradation of 13-dichloroprop-1-eneMetab Eng 15 98ndash112 httpdxdoiorg101016jymben201209006

Nikel PI Peacuterez-Pantoja D de Lorenzo V 2013 Why are chlorinated pollutants sodifficult to degrade aerobically Redox stress limits 13-dichloroprop-1-ene metabo-lism by Pseudomonas pavonaceae Philos Trans R Soc Lond Ser B Biol Sci 36820120377 httpdxdoiorg101098rstb20120377

Nikel PI Martiacutenez-Garciacutea E de Lorenzo V 2014 Biotechnological domestication ofpseudomonads using synthetic biology Nat Rev Microbiol 12 368ndash379 httpdxdoiorg101038nrmicro3253

Nikel PI Chavarriacutea M Fuhrer T Sauer U de Lorenzo V 2015 Pseudomonas putidaKT2440 strain metabolizes glucose through a cycle formed by enzymes of the Entner-Doudoroff Embden-Meyerhof-Parnas and pentose phosphate pathways J BiolChem 290 25920ndash25932 httpdxdoiorg101074jbcM115687749

Nikel PI Chavarriacutea M Danchin A de Lorenzo V 2016a From dirt to industrialapplications Pseudomonas putida as a synthetic biology chassis for hosting harshbiochemical reactions Curr Opin Chem Biol 34 20ndash29 httpdxdoiorg101016jcbpa201605011

Nikel PI Peacuterez-Pantoja D de Lorenzo V 2016b Pyridine nucleotide transhy-drogenases enable redox balance of Pseudomonas putida during biodegradation ofaromatic compounds Environ Microbiol 18 3565ndash3582 httpdxdoiorg1011111462-292013434

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Oide S Gunji W Moteki Y Yamamoto S Suda M Jojima T Yukawa H Inui M2015 Thermal and solvent stress cross-tolerance conferred to Corynebacterium glu-tamicum by adaptive laboratory evolution Appl Environ Microbiol 81 2284ndash2298httpdxdoiorg101128AEM03973-14

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Paddon CJ Keasling JD 2014 Semi-synthetic artemisinin a model for the use ofsynthetic biology in pharmaceutical development Nat Rev Microbiol 12 355ndash367httpdxdoiorg101038nrmicro3240

Parales RE Ditty JL 2005 Laboratory evolution of catabolic enzymes and pathwaysCurr Opin Biotechnol 16 315ndash325 httpdxdoiorg101016jcopbio200503008

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Pascual J Udaondo Z Molina L Segura A Esteve-Nuacutentildeez A Caballero A DuqueE Ramos JL van Dillewijn P 2015 Draft genome sequence of Pseudomonas putidaJLR11 a facultative anaerobic 246-trinitrotoluene biotransforming bacteriumGenome Announc 3 httpdxdoiorg101128genomeA00904-15

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Ravikumar S Baylon MG Park SJ Choi J-I 2017 Engineered microbial biosensorsbased on bacterial two-component systems as synthetic biotechnology platforms inbioremediation and biorefinery Microb Cell Factories 16 62 httpdxdoiorg101186s12934-017-0675-z

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Santacoloma PA Sin G Gernaey KV Woodley JM 2011 Multienzyme-catalyzedprocesses next-generation biocatalysis Org Process Res Dev 15 203ndash212 httpdxdoiorg101021op1002159

Santos CNS Yoshikuni Y 2014 Engineering complex biological systems in bacteriathrough recombinase-assisted genome engineering Nat Protoc 9 1320ndash1336

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Schmidt M (Ed) 2012 Synthetic Biology Industrial and Environmental Applications1st edition Wiley-Blackwell

Schmidt M de Lorenzo V 2016 Synthetic bugs on the loose containment options fordeeply engineered (micro)organisms Curr Opin Biotechnol 38 90ndash96 httpdxdoiorg101016jcopbio201601006

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Scism RA Bachmann BO 2010 Five-component cascade synthesis of nucleotideanalogues in an engineered self-immobilized enzyme aggregate Chembiochem EurJ Chem Biol 11 67ndash70 httpdxdoiorg101002cbic200900620

Scott SR Hasty J 2016 Quorum sensing communication modules for microbialconsortia ACS Synth Biol 5 969ndash977 httpdxdoiorg101021acssynbio5b00286

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Sheldon RA 2011 Characteristic features and biotechnological applications of cross-linked enzyme aggregates (CLEAs) Appl Microbiol Biotechnol 92 467ndash477 httpdxdoiorg101007s00253-011-3554-2

Shi L Dong H Reguera G Beyenal H Lu A Liu J Yu H-Q Fredrickson JK2016 Extracellular electron transfer mechanisms between microorganisms and mi-nerals Nat Rev Microbiol 14 651ndash662 httpdxdoiorg101038nrmicro201693

Si T Xiao H Zhao H 2015 Rapid prototyping of microbial cell factories via genome-scale engineering Biotechnol Adv 33 1420ndash1432 httpdxdoiorg101016jbiotechadv201411007

Silva-Rocha R de Lorenzo V 2014 Engineering multicellular logic in bacteria withmetabolic wires ACS Synth Biol 3 204ndash209 httpdxdoiorg101021sb400064y

Siu K-H Chen RP Sun Q Chen L Tsai S-L Chen W 2015 Synthetic scaffolds forpathway enhancement Curr Opin Biotechnol 36 98ndash106 httpdxdoiorg101016jcopbio201508009

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Sohn SB Kim TY Park JM Lee SY 2010 In silico genome-scale metabolic ana-lysis of Pseudomonas putida KT2440 for polyhydroxyalkanoate synthesis degradationof aromatics and anaerobic survival Biotechnol J 5 739ndash750 httpdxdoiorg101002biot201000124

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St-Pierre F Cui L Priest DG Endy D Dodd IB Shearwin KE 2013 One-stepcloning and chromosomal integration of DNA ACS Synth Biol 2 537ndash541 httpdxdoiorg101021sb400021j

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Takahashi K Ishikawa N Sadamoto Y Sasamoto H Ohta S Shiozawa A MiyoshiF Naito Y Nakayama Y Tomita M 2003 E-cell 2 multi-platform E-cell simu-lation system Bioinforma Oxf Engl 19 1727ndash1729

Tolia NH Joshua-Tor L 2006 Strategies for protein coexpression in Escherichia coliNat Methods 3 55ndash64 httpdxdoiorg101038nmeth0106-55

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Troumlgl J Krhůtkovaacute O Pilařovaacute V Daacuteňovaacute P Holiacuteček R Kohlovaacute M Hejda SSmrčka J Bouškovaacute A Křiklavovaacute L 2012 Removal of nitrates from high-salinitywastewaters from desulphurization process with denitrifying bacteria encapsulated inLentikats Biocatalyst Int J Environ Sci Technol 9 425ndash432 httpdxdoiorg101007s13762-012-0048-4

UniProt Consortium 2015 UniProt a hub for protein information Nucleic Acids Res 43D204ndash212 httpdxdoiorg101093nargku989

Vallenet D Calteau A Cruveiller S Gachet M Lajus A Josso A Mercier JRenaux A Rollin J Rouy Z Roche D Scarpelli C Meacutedigue C 2016MicroScope in 2017 an expanding and evolving integrated resource for communityexpertise of microbial genomes Nucleic Acids Res httpdxdoiorg101093nargkw1101

van Leeuwen JGE Wijma HJ Floor RJ van der Laan J-M Janssen DB 2012

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Directed evolution strategies for enantiocomplementary haloalkane dehalogenasesfrom chemical waste to enantiopure building blocks Chembiochem Eur J ChemBiol 13 137ndash148 httpdxdoiorg101002cbic201100579

Vilchez-Vargas R Junca H Pieper DH 2010 Metabolic networks microbial ecologyand ldquoomicsrdquo technologies towards understanding in situ biodegradation processesEnviron Microbiol 12 3089ndash3104 httpdxdoiorg101111j1462-2920201002340x

Wang HH Isaacs FJ Carr PA Sun ZZ Xu G Forest CR Church GM 2009Programming cells by multiplex genome engineering and accelerated evolutionNature 460 894ndash898 httpdxdoiorg101038nature08187

Wang B Kitney RI Joly N Buck M 2011 Engineering modular and orthogonalgenetic logic gates for robust digital-like synthetic biology Nat Commun 2 508httpdxdoiorg101038ncomms1516

Wang K Schmied WH Chin JW 2012 Reprogramming the genetic code from tri-plet to quadruplet codes Angew Chem Int Ed Eng 51 2288ndash2297 httpdxdoiorg101002anie201105016

Wang B Barahona M Buck M 2013 A modular cell-based biosensor using engineeredgenetic logic circuits to detect and integrate multiple environmental signals BiosensBioelectron 40 368ndash376 httpdxdoiorg101016jbios201208011

Wang L Xue C Wang L Zhao Q Wei W Sun Y 2016 Strain improvement ofChlorella sp for phenol biodegradation by adaptive laboratory evolution BioresourTechnol 205 264ndash268 httpdxdoiorg101016jbiortech201601022

Wei R Oeser T Schmidt J Meier R Barth M Then J Zimmermann W 2016Engineered bacterial polyester hydrolases efficiently degrade polyethylene ter-ephthalate due to relieved product inhibition Biotechnol Bioeng 113 1658ndash1665httpdxdoiorg101002bit25941

Wibberg D Bremges A Dammann-Kalinowski T Maus I Igentildeo MI Vogelsang RKoumlnig C Luque-Almagro VM Roldaacuten MD Sczyrba A Moreno-Viviaacuten CBlasco R Puumlhler A Schluumlter A 2016 Finished genome sequence and methylomeof the cyanide-degrading Pseudomonas pseudoalcaligenes strain CECT5344 as resolvedby single-molecule real-time sequencing J Biotechnol 232 61ndash68 httpdxdoiorg101016jjbiotec201604008

Wicker J Lorsbach T Guumltlein M Schmid E Latino D Kramer S Fenner K 2016enviPathmdashthe environmental contaminant biotransformation pathway resourceNucleic Acids Res 44 D502ndash508 httpdxdoiorg101093nargkv1229

Wierckx N Prieto MA Pomposiello P de Lorenzo V OConnor K Blank LM2015 Plastic waste as a novel substrate for industrial biotechnology MicrobBiotechnol 8 900ndash903 httpdxdoiorg1011111751-791512312

Wigginton N Yeston J Malakoff D 2012 Working with waste More treasure thantrash Introduction Science 337 662ndash663 httpdxdoiorg101126science3376095662

Winsor GL Griffiths EJ Lo R Dhillon BK Shay JA Brinkman FSL 2016Enhanced annotations and features for comparing thousands of Pseudomonas gen-omes in the Pseudomonas genome database Nucleic Acids Res 44 D646ndash653httpdxdoiorg101093nargkv1227

Wittich R-M Wolff P 2007 Growth of the genetically engineered strain Cupriavidusnecator RW112 with chlorobenzoates and technical chlorobiphenyls Microbiology153 186ndash195 httpdxdoiorg101099mic029096-0

Wittich R-M van Dillewijn P Ramos JL 2010 Rational construction of bacterialstrains with newimproved catabolic capabilities for the efficient breakdown of en-vironmental pollutants In Timmis KN (Ed) Handbook of Hydrocarbon and LipidMicrobiology Springer Berlin Heidelberg pp 1247ndash1254

Wolfaardt GM Lawrence JR Robarts RD Caldwell SJ Caldwell DE 1994Multicellular organization in a degradative biofilm community Appl EnvironMicrobiol 60 434ndash446

Wu G Yan Q Jones JA Tang YJ Fong SS Koffas MAG 2016 Metabolicburden cornerstones in synthetic biology and metabolic engineering applicationsTrends Biotechnol 34 652ndash664 httpdxdoiorg101016jtibtech201602010

Xu P Vansiri A Bhan N Koffas MAG 2012 ePathBrick a synthetic biology plat-form for engineering metabolic pathways in E coli ACS Synth Biol 1 256ndash266httpdxdoiorg101021sb300016b

Yadid I Rudolph J Hlouchova K Copley SD 2013 Sequestration of a highly re-active intermediate in an evolving pathway for degradation of pentachlorophenolProc Natl Acad Sci U S A 110 E2182ndash2190 httpdxdoiorg101073pnas1214052110

Yang J Liu R Jiang H Yang Y Qiao C 2012 Selection of a whole-cell biocatalystfor methyl parathion biodegradation Appl Microbiol Biotechnol 95 1625ndash1632httpdxdoiorg101007s00253-011-3792-3

Yang Y Yang J Jiang L 2016 Comment on A bacterium that degrades and assim-ilates poly(ethylene terephthalate) Science 353 759 httpdxdoiorg101126scienceaaf8305

Yoshida S Hiraga K Takehana T Taniguchi I Yamaji H Maeda Y Toyohara KMiyamoto K Kimura Y Oda K 2016a A bacterium that degrades and assimilatespoly(ethylene terephthalate) Science 351 1196ndash1199 httpdxdoiorg101126scienceaad6359

Yoshida S Hiraga K Takehana T Taniguchi I Yamaji H Maeda Y Toyohara KMiyamoto K Kimura Y Oda K 2016b Response to comment on A bacterium thatdegrades and assimilates poly(ethylene terephthalate) Science 353 759 httpdxdoiorg101126scienceaaf8625

Zobel S Benedetti I Eisenbach L de Lorenzo V Wierckx N Blank LM 2015 Tn7-based device for calibrated heterologous gene expression in Pseudomonas putida ACSSynth Biol 4 1341ndash1351 httpdxdoiorg101021acssynbio5b00058

Web references

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httpsmetacycorg accessed 2972017

httpsbiocycorg accessed 2972017

wwwuniprotorg accessed 2252017

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wwwgenoscopecnsfragcmicroscopehome accessed 2252017

httpsevacnbcsices accessed 2252017

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  • Bioremediation 30 Engineering pollutant-removing bacteria in the times of systemic biology
    • Introduction
    • Approaches and tools of systems biology and metabolic engineering for tailoring biodegradation pathways
      • Step 1 get to know the contaminant and find a suitable catabolic pathway
        • Databases
        • Pathway prediction systems and toxicity prediction algorithms
        • Detection and quantification of pathway building blocks
          • Step 2 select and get to know a suitable microbial host
            • Omics techniques in studies of bacterial degraders
              • Step 3 build the pathway and optimize its performance in the context of host metabolism
                • Computational tools for pathway and strain optimization
                • Experimental tools for pathway and strain optimization
                • Protein engineering to eliminate bottlenecks of biodegradation pathways
                    • Synthetic biology approaches and tools for biodegradation pathway engineering
                      • Development of robust microbial chassis for biodegradation of toxic chemicals
                      • Development of synthetic microbial consortia for enhanced biodegradation and bioremediation of pollutants
                      • Development of orthogonal systems in bacteria to enhance pollutant biodegradation and bioremediation
                      • Engineering microbial biodegradation pathways in vitro
                        • Towards planet-wide bioremediation interventions CO2 capture as a large-scale challenge
                        • Conclusions and perspectives
                        • Acknowledgements
                        • References
                        • Web references
Page 3: Bioremediation 3.0 Engineering pollutant-removing bacteria ... · biology, metabolic engineering, and synthetic biology, for the sake of understanding and reprograming biological

pathways and whole-cell degraders from the last decade and proposean optimal workflow for pathway design construction and optimiza-tion In particular we discuss the potential of state-of-the-art systemictechnologies not yet fully employed for this purpose including newways to genetically engineer superior CO2 scavengers Lastly the per-spectives of microbial cell factories tailored for biodegradation andbioremediation are critically evaluated

2 Approaches and tools of systems biology and metabolicengineering for tailoring biodegradation pathways

One key objective of systems biology is to gain comprehensivequantitative understanding of living cells by combining high-throughput technologies and computational methods to characterizeand predict cell behaviour (Dai and Nielsen 2015) Metabolic en-gineering first defined as a new scientific discipline by Bailey (1991) isnow understood as the practice of optimizing genetic and regulatoryprocesses within the cells to (i) improve the yield and productivity ofnative products synthesized by organisms (ii) establish the synthesis ofproducts new to the host cell and two points especially relevant forbiodegradation to (iii) extend the range of substrates or improve sub-strate uptake and (iv) improve overall cell robustness (Nielsen et al2014) These goals can be achieved by engineering natural metabolicpathways in the host cell or synthetic routes assembled from enzymesoriginating from different organisms The aims of systems biology co-incide fully with the objectives of metabolic engineering These twodisciplines are now inseparable complement each other and have evenmerged into a field of systems metabolic engineering (Lee et al 2012)Metabolic engineers use systems biology computational tools and lsquoomicrsquotechniques to gain deeper insight into the genetic and physiologicalbackground of target organisms to model enzymatic reactions and todetermine the constraints for efficient biocatalysis To overcome theseconstraints computational tools are applied together with establishedexperimental protocols now frequently strengthened with syntheticbiology standards and fine-tuning adaptive laboratory evolution TheDesign-Build-Test-Analyze (DBTA) cycle is repeated until performance ofthe engineered cell factory is optimized and a cost-effective process canbe established (Paddon and Keasling 2014) It is tempting and logicalto use the same intellectual workflow to engineer biodegradationpathways (Fig 1) The portfolio of systems metabolic engineering toolsapplicable for such purposes will be discussed in more detail in theSection 2 of the review

21 Step 1 get to know the contaminant and find a suitable catabolicpathway

The compound to be degraded or removed from the contaminatedenvironment or industrial waste site is usually the very first componentknown in a project focused on biodegradation or bioremediation Thepolluting chemicals show diverse physicochemical properties can oc-cupy heterogenous physical niches in the environment and exist inconcentrations ranging from ngL to mgL (Meckenstock et al 2015)Industrial waste chemicals prohibited pesticides or warfare agentssuch as 123-trichloropropane γ-hexachlorocyclohexane or yperiterespectively can be available for degradation as stock piles or mixedwith environmental matrix When bioremediation is a method of choicefor removal of the target compound another challenge arises how tofind the most suitable pathway for degradation and ideally completemineralization of the chemical in the huge amount of genetic bio-chemical and microbiological data available As pointed out by Nobellaureate Sydney Brenner we are currently ldquodrowning in a sea of datathirsting for knowledgerdquo New computational tools and algorithmscombined with common sense are the only way to cope with thecomplexity of life find the needle in a haystack and obtain valuableoutput ndash the natural or synthetic pathway or set of pathways mostsuitable for a specific biodegradation task in a selected microbial host

Computational tools can provide the user with relevant information onphysicochemical properties of the target compound and the basicbuilding blocks of the catabolic pathway ndash enzymes and metabolites Awide spectrum of databases and prediction systems that provide usefulinformation on a number of chemicals and biodegradative or biosyn-thetic routes has been developed over the years Comprehensive re-views that focus on evaluation of computational tools mainly for bio-synthetic pathway design have been published in the last few years(Long et al 2015 Medema et al 2012) Chemical and biodegradationdatabases as well as pathway and toxicity prediction systems that mightbe useful for evaluating existing biodegradation pathways or en-gineering new ones were reviewed by Arora and Bae (2014) To avoidduplication here we aim to discuss mainly the updates and applicationsof representative systems for biodegradation pathway design

211 DatabasesThe University of Minnesota BiocatalysisBiodegradation Database

and Pathway Prediction System (UM-BBDPPS) is a remarkable toolthat has garnered microbial pathways for xenobiotics for over 20 yearsand can be considered an advisable first-choice search engine (Gaoet al 2010) In 2014 UM-BBDPPS rights were assigned to Eawag theSwiss Federal Institute of Aquatic Science and Technology and the da-tabase got a new name EAWAG-BBDPPS EAWAG-BBD (httpeawag-bbdethzch) can not only search through 543 microorganism entries219 metabolic routes 1503 reactions 1396 chemicals and 993 en-zymes but also allows prediction of novel biotransformations leadingfrom target xenobiotic substrate to the molecule that can be metabo-lized by central catabolic pathways of a host cell The enviPath tool(The Environmental Contaminant Biotransformation Pathway Re-source httpsenvipathorg) was recently introduced as a rebuiltversion of EAWAG-BBDPPS (Wicker et al 2016) Registered user canemploy enviPath for design of particular biochemical routes and per-sonal databases with biotransformation data as well as for prediction ofnew catabolic pathways In 2017 the same team introduced a newdatabase implanted in enviPath platform Eawag-Soil (Latino et al2017) This public database is a unique repository of data collectedduring laboratory simulations on aerobic degradation of pesticides insoil including biotransformation half-lifes

Although they provide access to much more data in addition tobiodegradation pathways and related content MetaCyc and BioCycdatabases by SRI International should be mentioned as well (Caspiet al 2016) With its 2526 experimentally elucidated pathways from2844 different organisms from all domains of life MetaCyc (httpsmetacycorg) is one of the largest repositories of metabolism data andserves primarily as an on-line encyclopedia in which metabolic routescan be predicted from available sequenced genomes browsed throughor mutually compared The majority of listed compounds and reactionsnow also include the Gibbs free energy values (Caspi et al 2016)BioCyc (httpsbiocycorg) is a collection of 9389 organism-specificPathwayGenome Databases (PGDB the number tripled in the lastthree years) Each PGDB encompasses the sequenced genome andpredicted metabolic network of single organism Moreover informationon individual components such as predicted operons metabolites en-zymes and their reactions or transport systems is provided (Caspi et al2016) BioCyc also provides several useful tools for navigating visua-lizing and analyzing the PGDB and for analyzing omics data BothMetaCyc and BioCyc are linked to numerous other databases UniProt(wwwuniprotorg) a collaboration between the European Bioinfor-matics Institute the SIB Swiss Institute of Bioinformatics and the Pro-tein Information Resource supplies missing information on functionsequence or taxonomy of proteins from metabolic or signalling path-ways and is further interconnected with more specific protein databasessuch as RCSB Protein Data Bank or BRENDA thus completing the pic-ture with structural or kinetic data (Berman et al 2000 Chang et al2015 UniProt Consortium 2015)

P Dvořaacutek et al Biotechnology Advances 35 (2017) 845ndash866

847

212 Pathway prediction systems and toxicity prediction algorithmsThe development of reliable pathway prediction systems is of major

importance for the field of biodegradation as for the numerous an-thropogenic chemicals released into the environment the catabolicpathways are either completely unknown or poorly understood Thesetools consider many factors including substrate specificities bindingsites or reaction mechanisms of enzymes structural changes in sub-strate-product pairs and pathway distance from substrate to product(Medema et al 2012) The pathway prediction system of EAWAG-BBDPPS or enviPath predicts biodegradation routes based on avail-able biotransformation rules derived from reactions found in theEAWAG-BBD database or in the literature (Gao et al 2010 Wickeret al 2016) It can highlight initiating reaction types likely to occur inaerobic environments which in some cases lead to the complete mi-neralization of the contaminant (Fig 2) although it does not define thethermodynamic feasibility of the proposed pathways or the specificenzymes that catalyse proposed reactions This latter information canbe supplemented by the complementary prediction algorithm of a newpublic database RAPID (httprapidumnedurapid) currently beingdeveloped by the group of Lawrence P Wackett at University of Min-nesota The idea of future utility of combined EAWAG-BBD and RAPIDalgorithms was provided recently by Aukema and co-workers who usedthese tools to predict initial metabolism of a set of emerging con-taminants that include recalcitrant pharmaceuticals alkyl phthalatesor fragrance compounds previously shown to be degraded by Para-burkholderia xenovorans LB400 (Aukema et al 2016)

In case of anthropogenic contaminants with unknown or un-complete natural catabolic pathways the Biochemical NetworkIntegrated Computational Explorer (BNICEch) can be recommended aswell (Hatzimanikatis et al 2005) The authors from the Vassily Hat-zimanikatis group at the Swiss Federal Institute of Technology havebeen developing BNICEch one of the first tools for uncovering anddescribing new enzymatic reactions based on known biochemistryforgt 15 years In the latest version the method was coupled with amanually-curated KEGG database generally recognized as one of themost complete repositories of metabolic data (Kanehisa et al 2014)The catalogued biochemistry of the KEGG database was converted into361 bidirectional generalized rules which were applied to explore thepossible space of all metabolic reactions that link the compounds re-ported in the KEGG and are potentially found in nature (Hadadi et al2016) As a result 6528 KEGG reactions and 137416 known or com-pletely new enzymatic reactions between two or more KEGG com-pounds were organized in a reaction web-based database named ATLASof Biochemistry (httplcsb-databasesepflchatlas) Importantly thethermodynamic feasibility of de novo generated reactions was evaluatedand the parameter of Gibbs free energy is a part of the majority ofrecords in the ATLAS database To the benefit of the reaction predictionsystem according to authors up to 80 of the newly added KEGGreactions in 2015 already existed in ATLAS as novel reactions

In biodegradation pathway design BNICEch was first used byFinley and co-workers to propose all possible catabolic routes for 4-chlorobiphenyl phenanthrene γ-hexachlorocyclohexane and 124-

Fig 1 Proposed workflow for engineering biodegradation pathways using systemic biology approaches and tools The Figure sketches the roadmap to contructing superior bacterialcatalysts for environmental bioremediation that capitalize on systems and synthetic biology as explained in this review

P Dvořaacutek et al Biotechnology Advances 35 (2017) 845ndash866

848

trichlorobenzene (124-TCB) compounds that represent various classesof xenobiotics (Finley et al 2009) BNICEch not only reproduced theexperimentally verified pathways but also found completely novel re-actions taking into account the starting compound the requestedlength of the pathway and the broader reaction rules of the EnzymeCommission classification system The 15 novel pathways for 124-TCBwere subsequently probed using thermodynamic analysis and foundenergetically feasible In the follow-up study the authors evaluated thenew routes in the context of Pseudomonas putida KT2440 cellular me-tabolism (Finley et al 2010) They expanded the available P putidametabolic model by including the pathways obtained from BNICEchand metabolic flux analysis was used to predict the maximum biomassgenerated using 124-TCB as the sole carbon source In this way in-teresting alternative pathways were proposed that couple 124-TCB

utilisation with biomass formation Although this work was purelytheoretical it suggests the way for those who wish to use the increasingpower of computational modelling to design biodegradation routes orexplore the fate of xenobiotics in the environment

Prediction tools for assisting the design of robust microbial bio-sensors are highly desirable as well Such biosensors are often based onregulatory proteins or riboswitches able to translate the presence of agiven metabolite or small molecule into a readily measurable readout(Gredell et al 2012 Schallmey et al 2014 Cardinale et al 2017) Butwhat to do when biosensors for a compound of interest do not exist Aninteresting approach to tackle the issue was presented recently byDeleacutepine et al (2016) Their SensiPath algorithm (httpsensipathmicalisfr) stems from the concept of retrosynthesis introduced pre-viously by the same laboratory (Carbonell et al 2014) SensiPath

Fig 2 Initial aerobic biotransformations of theemerging contaminant 123-trichloropropane(TCP) generated by the EAWAG-BBD PathwayPrediction System Reactions are tagged with oneof the 249 biotransformation rules used for thepredictions Reactions proven experimentally tobe catalysed by haloalkane dehalogenase DhaAepoxide hydrolase EchA and halohydrin dehalo-genase HheC in aerobic conditions are high-lighted with thick arrows (Bosma et al 1999)The scheme was adopted and modified fromhttpeawag-bbdethzchpredict Aerobic like-lihood specifies whether the reaction will occur inaerobic conditions exposed to air in soil (mod-erate moisture) or water at neutral pH 25 degCwith no competing compounds AbbreviationsDCP 23-dichloropropane-1-ol ECH epi-chlorohydrin CPD 3-chloropropane-12-diolGDL glycidol

P Dvořaacutek et al Biotechnology Advances 35 (2017) 845ndash866

849

applies more than 9000 unique reaction rules collected from BRENDAMetacyc and Rhea (Morgat et al 2015) databases to find enzymes(currently limited to max two-step reactions) able to convert a targetundetectable organic chemical into a molecule that can be recognizedby a known natural sensing system In the theoretical part of the follow-up study the authors applied SensiPath to expand the range of therebydetectable compounds among chemical structures collected from sev-eral databases (Libis et al 2016) The method almost tripled (from 169to 477) the number of theoretically detectable compounds in theTOX21 database (Krewski et al 2009) The predictive power of themethod was validated in the experimental part of the study Metabolicmodules of up to two enzymes proposed by SensiPath were introducedinto E coli bearing a sensing module for the product of enzymaticconversion at stake Functional whole-cell biosensors for cocaine ni-troglycerin or parathion were constructed in such way Despite thisremarkable contribution the number of undetectable organic chemicalsremains at a highgt 94 of all compounds in TOX21 databaseStrengthening the computational power of tools such as SensiPath willhopefully improve the situation in the near future

The predicted reaction networks can also be pruned using toxicityestimation algorithms to prevent the formation of compounds highytoxic to the host (Benfenati 2007) Besides quantitative structure ac-tivity relationship (QSAR) models which calculate toxicity based on thephysical characteristics of the chemical structures (molecular de-scriptors Eriksson et al 2003) other models have recently been de-veloped to predict toxicity based for example on chemical-chemicalinteractions (Chen et al 2013) QSAR models nonetheless remain theparadigm in the field An interesting example of a QSAR model-basedcomputational tool (httpsabsynthissbgenopolefrBioinformatics)is the toxicity prediction web server EcoliTox (Planson et al 2012)The dataset obtained from screening a diversified chemical library of166 compounds for toxicity in Escherichia coli was used to develop apredictor of toxicity of metabolites throughout the metabolome of thispopular bacterial host Tools similar to the EcoliTox server could beintegrated into a computational framework for improved design ofnative or heterologous biodegradation pathways and used to fine-tunetheir expression in selected microbial hosts A powerful virtualscreening approach currently applied predominantly in drug designstudies (Buryska et al 2016) could be used similarly for syntheticpathway predictions to avoid selection of enzymes whose catalyticmachinery might be inhibited by molecules present in a host cell

213 Detection and quantification of pathway building blocksOnce the suitable pathway is selected another issue arises that of

how to detect and quantify the pathway building blocks - metabolitesand enzymes Detection and accurate quantification of metabolites incomplex reaction mixtures and of functional enzymes produced withinthe cell provide valuable information on pathway performance and itsbottlenecks as well as a background for further optimization of theroute Here the experimental tools and approaches come into play forthe first time in our workflow scheme (Fig 1) The best sensitivity andseparation power is currently provided by chromatographic separationof metabolites followed by mass spectrometry analysis (Buumlscher et al2009) Information on physicochemical properties of compounds(boiling point polarity molecular weight) generated in the pathway isnonetheless crucial for correct choice of a detection method be it gaschromatography liquid chromatography or capillary electrophoresis(Buumlscher et al 2009) Of the numerous chemical databases PubChem(httpspubchemncbinlmnihgov) created in 2004 by the US Na-tional Institutes of Health is the worlds largest free chemistry re-pository into which anyone can deposit data on structures and theirproperties (Kim et al 2016) The database has grown togt 92 millionstructures Bioactivity data of chemical substances manually with-drawn from the scientific literature are saved in PubChem Substanceand Compound databases Integration with other databases allows in-cluding pharmacology toxicology drug target information safety or

handling information to the annotation of chemical records PubChemalso hosts data from important regulatory agencies including the USEnvironmental Protection Agency In 2007 another free repositoryChemSpider (httpwwwchemspidercom) was created and laterpurchased by the UK Royal Society of Chemistry it provides access toover 59 million entries from 487 diverse data sources and can be re-commended as another rich source of knowledge on experimental orpredicted physicochemical properties of compounds

For pathway enzyme detection and absolute quantification SDS-PAGE or better Western blot analysis followed by determination ofenzyme activity have been standard protocols in metabolic engineeringfor many years (Kurumbang et al 2014) When applied to multiple-enzyme pathways however these methods are tedious and time-con-suming Selected Reaction Monitoring Mass Spectrometry protocolsdeveloped in the past few years seem to provide a promising alternativefor absolute protein quantification in the future as they allow rapidsimultaneous quantification of many proteins in the cell with goodselectivity and sensitivity regardless of organism of origin (Batth et al2012)

22 Step 2 select and get to know a suitable microbial host

In addition to catabolic pathway choice or design the selection of asuitable host is a crucial initial step in any engineering project focusedon the development of a whole-cell degrader Over the years severalmicrobial hosts have been considered for application in biodegradationprocesses but no single naturally isolated bacterial strain possesses allthe desired characteristics of the optimal degrader Soil bacteria couldsatisfy many of these requirements because of the conditions they facenaturally in the niches in which they thrive including exposure toenvironmental contaminants and to competing and predatory speciesThese microorganisms have versatile metabolic lifestyles that allowthem to adapt to changing conditions sometimes adverse (oxidativestress temperature challenges osmotic perturbations) P putida is aubiquitous rhizosphere colonizer that belongs to the wide (if somewhatfuzzy) group of fluorescent Pseudomonas P putida KT2440 is the best-characterized saprophytic laboratory pseudomonad that has retained itsability to survive and thrive in the environment Its entire chromosomesequence is available since 2002 (Belda et al 2016 Nelson et al 2002Nikel et al 2014) This strain derives from P putida mt-2 a naturallyoccurring species able to degrade several aromatic compounds throughthe activities encoded in the catabolic TOL plasmid The physiologicaland metabolic properties of pseudomonads argue for their selection asthe starting point for engineering of biodegradation processes In ad-dition to rapid growth and low nutrient demand their extremely ver-satile metabolism and high capacity to supply redox power providingendurance to oxidative stress are several advantages that render Pputida an interesting host for degradation applications (Nikel et al2016a) Most of these properties arise from a very robust central me-tabolism (Fig 3) in which the combined activity of enzymes fromdifferent pathways (ie the EDEMP cycle Nikel et al 2015) endowsthe cells with a large NADPH supply (Chavarriacutea et al 2013) The op-erativity of the EDEMP cycle enables the formation of ATP and NADPHat different rates depending on the amount of trioses phosphate re-cycled Assuming that P putida has (i) a NAD+ dependent glycer-aldehyde-3-P dehydrogenase and a NADP+ dependent glucose-6-P de-hydrogenase (ii) pyruvate as the end product of glycolytic pathwaysand (iii) a negligible flux through 2-ketogluconate the yields of pyr-uvate ATP and NADPH are as indicated in the inset to Fig 3 Theability to sustain high NADPH formation rates is a requisite needed in abacterial host for the implantation of biodegradation pathways(Lorenzo and Loza-Tavera 2011) As will be shown in part in followingsections these beneficial properties are reflected in the increasingnumber of metabolic engineering studies in which P putida appears asone major player

P Dvořaacutek et al Biotechnology Advances 35 (2017) 845ndash866

850

221 Omics techniques in studies of bacterial degradersSystems biology and particularly lsquoomicrsquo techniques contributed

markedly to rational selection of suitable hosts for metabolic en-gineering The enormous amount of genetic information read with first-or next-generation sequencing techniques together with powerful newalgorithms and computational tools to aid with data mining allowedconsiderable progress in our understanding of dynamic interactionsinside and in between cells and the environments they inhabit(Bouhajja et al 2016 Vilchez-Vargas et al 2010) Available genomicdata also enabled new insights into the evolution of microbial meta-bolism towards biodegradation of well-recognized xenobiotics such as135-triazine (Shapir et al 2007) 16S rRNA-phylogenetic microarraysand the functional gene microarrays have been used to monitor mi-crobial community dynamics and to track activities of microbes in thepolluted environments respectively (Chakraborty et al 2012) Thereconstructed genome-scale metabolic models together with tran-scriptomic proteomic metabolomic and flux analyses in variousgrowth and stress conditions completely changed our view of popularbiodegradative bacterial hosts including the paradigmatic P putida(Sohn et al 2010)

For instance fluxomic analyses applied to P putida KT2440 helpedto reveal its distinct strategies for dealing with carbon sources eg byfavouring the routes that generate NADPH which promotes greaterresistance to oxidative stress (Chavarriacutea et al 2013 Nikel et al 2013)Examination of transcriptomic data uncovered the significant portion ofthe P putida genome (ge20) that is differentially expressed when thecells are grown on diverse substrates and emphasized the role of a suiteof global regulators (J Kim et al 2013) Recent complete structural re-annotation of the KT2440 strain genome allowed identification of 1485

CDSs associated to 1898 chemical reactions prediction of catabolicpathways for 92 compounds (carbon nitrogen and phosphorussources) and upgrading of the available genome-scale metabolic model(Belda et al 2016 Puchałka et al 2008) lsquoOmicrsquo analyses greatly in-creased insight into the genetic and physiological background of someother pseudomonads besides KT2440 including P pseudoalcaligenesCECT5344 which might be used for biodegradation of industrial cya-nide-containing wastes or the 246-trinitrotoluene biotransforming Pputida JLR11 (Pascual et al 2015 Wibberg et al 2016) At the time ofwriting this article there are 3133 drafted and 215 completed Pseu-domonas genomes currently available in the Pseudomonas Genome Da-tabase (httpwwwpseudomonascom) perhaps the most compre-hensive genomic database dedicated to a single bacterial genus (Winsoret al 2016)

Complete genomic sequences are currently available for many otherpotentially useful degraders such as Cupriavidus necator JMP134 abacterium with nearly 300 genes involved in the catabolism of aro-matics including chloroaromatics (Lykidis et al 2010) Other ex-amples include but are not limited to the PCBs-degrading Acidovoraxsp strain KKS102 (Ohtsubo et al 2012) the cyclic hydrocarbons-de-grading Alicycliphilus denitrificans strains BC and K601 (Oosterkampet al 2013) or the oil-degrading bacterium Oleispira antarctica whosegenome has provided useful information as to how bacteria mitigate oilspills in cold environments (Kube et al 2013) Genomic sequences ofthese and many other microorganisms with biodegradation capabilitiescan be searched through in comprehensive databases such as NCBIgenome database (httpswwwncbinlmnihgovgenome) or Micro-Scope (httpwwwgenoscopecnsfragcmicroscopehome) a mi-crobial genome annotation and analysis platform (Vallenet et al2016) developed in the Laboratory of Bioinformatics Analyses forGenomics and Metabolism at the National Sequencing Centre (EvryFrance) it provides a complete pipeline for annotations and compara-tive analyses of up to 6000 microbial genomes of which hundreds weremanually curated for accuracy

Despite interest in study of individual bacterial species the fasci-nating in situ systems biology exercise that followed one of the mostalarming ecological disasters in modern human history the 2010 BPDeepwater Horizon spill in the Gulf of Mexico emphasized the irre-placeable role of bacterial communities in natural bioremediationBacteria that can convert oil-derived alkanes and aromatics into thebiomass were identified based on (i) genome reconstructions via me-tagenome sequencing of the DNA from the stable-isotope-probing ex-periments (Dombrowski et al 2016) and (ii) cultivation trials using oilsamples from sea surface and deep sea collected during the outflow(Gutierrez et al 2013) Only the concerted action of many microbialspecies including Cycloclasticus Alcanivorax members of Rhodospir-illales Alteromonas and others augmented by the specific environmentof the oil spill allowed the degradation of the complex mixture thatconsisted of as many as 1000 compounds Metagenomic strategies helpto shed light also on the composition and dynamics of microbial con-sortia that participate in natural biodegradation of chorinated ethenesin contaminated groundwater (Adetutu et al 2015) or polycyclic aro-matic hydrocarbons in soils (Guazzaroni et al 2013)

23 Step 3 build the pathway and optimize its performance in the contextof host metabolism

Optimization of the proposed biochemical pathway in the context ofhost cell metabolism is often the most demanding part of the en-gineering project This is especially true for de novo synthetic pathwayscomposed of enzymes from different sources implanted into a newbacterial host Codon composition of introduced genes might not beoptimal for expression in a heterologous host enzyme activities mightnot be well balanced or might cross-talk with the native metabolicnetwork pathway intermediates can accumulate and inhibit the growthof cells or cofactors ATP or redox carriers might be lacking The

Fig 3 The action of the EDEMP cycle is illustrated with a theoretical example of fluxdistribution in glucose-grown P putida KT2440 Total carbon uptake is considered to be100 (arbitrary units) and glucose can be split into the phosphorylative (Glk) or oxidative(x) branches The net formation rates (v) of pyruvate (Pyr) ATP and NADPH are in-dicated in the inset table with r representing the amount of triose phosphates recycled tohexose phosphates through the action of the EDEMP cycle Note that part of the glucosecan also be oxidized through the action of the so-called peripheral reactions represented bythe overall flux x in the scheme and that two trioses are formed per glucose consumedie a glucose uptake flux of 100 (arbitrary units) will result in a pyruvate flux of 200Abbreviations ED pathway EntnerndashDoudoroff pathway EMP pathwayEmbdenndashMeyerhofndashParnas pathway PP pathway pentose phosphate pathway G6Pglucose-6-P F6P fructose-6-P FBP fructose-16-P2 DHAP dihydroxyacetone-P GA3Pglyceraldehyde-3-P 6PG 6-phosphogluconate KDPG 2-keto-3-deoxy-6-phosphogluco-nate 2KG 2-ketogluconate and 2K6PG 2-keto-6-phosphogluconate Figure adapted andmodified from (Nikel et al 2016a)

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portfolio of systemic tools that can help overcome these issues is ex-panding constantly Here we will center on the major concepts thathave proven useful in tailoring biodegradation pathways and microbialdegraders We will discuss the application of several of these moderntools including the example of engineering the synthetic catabolic routefor 123-trichloropropane (TCP Fig 2) an industrial byproduct ofanthropogenic origin now being recognized as a groundwater con-taminant (Samin and Janssen 2012) TCP is representative of difficult-to-degrade halogenated aliphatic compounds a tough case for re-mediation technologists due to its physicochemical properties toxicityin living organisms and absence of efficient natural catabolic pathway(Janssen et al 2005 Samin and Janssen 2012) The enzymes laterused to compose the first synthetic pathway that allowed mineraliza-tion of TCP by an engineered bacterium had already been described inthe late 1980s and early 90s (Bosma et al 1999) With a historyspanninggt 25 years the engineering of this biodegradation pathwaythus represents one of the most systematic efforts of its kind

231 Computational tools for pathway and strain optimizationThe tremendous increase in the number of sequenced genomes (the

number of complete genomes in the NCBI database has more thandoubled in the last two years) of unicelluar and multicellular organ-isms including the microbial degraders mentioned above led to thereconstruction of genome-scale metabolic models representing all(anotated) biochemical reactions that take place in the living cell (Kinget al 2015) Mathematical models of metabolic networks have a cen-tral role in metabolic engineering and in pathway and strain optimi-zation Modelling can be used to analyze the selected pathway (eg todetermine the distribution of metabolic fluxes) and identify reactionsthat must be modified to improve its performance Genome-scale me-tabolic models are built by compiling data on genes related to bio-chemical reactions from databases such as KEGG and BioCyc The genesare compared to already finalized reconstructions of related organismsto find homologous reactions the draft model is then refined and ver-ified by simulations Flux Balance Analysis (FBA) and Metabolic FluxAnalysis (MFA) are two major approaches that use metabolic models topredict intracellular fluxes (Stephanopoulos 1999) FBA is a theoreticalconcept that uses the stoichiometric coefficients for each reaction in thesystem as the set of constraints for optimization MFA determines in-tracellular fluxes from measurable rates of metabolite uptake and se-cretion in growth medium In a typical experiment substrates labelledwith the non-radioactive isotope 13C are used in chemostat-growncultures to trace fluxes through a cellular network Computational toolssuch as Cobra 20 for Matlab OptKnock or k-OptForce can implementconstraint-based flux calculations and suggest strategies based onknock-out upregulation or downregulation of target genes to optimizemetabolite production without compromising cell growth (Burgardet al 2003 Chowdhury et al 2014 Schellenberger et al 2011) In astudy by Izallalen and colleagues OptKnock was used together with theconstraint-based in silico model of Geobacter sulfurreducens to determinegene deletions which could lead to increased respiration rates (Izallalenet al 2008) Geobacter species are well recognized for their ability todegrade radioactive and toxic metals and have been explored for theirutility in microbial fuel cells (Shi et al 2016) These processes arenonetheless limited by electron transfer rates in cells OptKnock cal-culations followed by genetic constructions by the authors resulted inrecombinant Geobacter cells with decreased ATP levels slower growthrates and predicted higher respiration rates (Izallalen et al 2008)Subsequent genome-wide analysis of gene transcript levels also verifiedthe in silico predictions

Although FBA- and MFA-based approaches can handle genome-scalemetabolic models and require no information on enzyme kinetics theiroutput only gives a steady-state approximation of the dynamic reality inthe living cell Kinetic modelling is an alternative to static flux calcu-lations when reliable kinetic parameters of pathway enzymes and someother input data are available eg specific surface area of the cell

permeability coefficients for substrates metabolite concentrations orapproximate enzyme amount in the cell (Chowdhury et al 2015) Ki-netic constants can be obtained from enzyme databases such asBRENDA or can be determined experimentally One should keep inmind that most kinetic constants deposited in databases are not stan-dardized and also measured in in vitro which might be a limiting factorwhen such data are applied to kinetic modelling in living systems (Costaet al 2011) Computational tools such as COPASI or E-Cell are used toassemble the pathway model in the form of kinetic and differentialequations and to simulate reaction time courses for various conditions(Mendes et al 2009 Takahashi et al 2003) Kinetic models of wholemetabolic networks are the holy grail of metabolic engineering buttheir application in strain design is limited by factors such as un-reliability of parameters non-universality of rate laws need to imple-ment regulatory events or extremely high demand on computationalpower (Chowdhury et al 2015) In contrast the use of kinetic mod-elling to engineer individual metabolic pathways or simpler in vitro-assembled networks is currently more feasible (Muschiol et al 2015)

Recent studies by Dvorak Kurumbang and colleagues are notableexample of kinetic modelling applied in engineering of synthetic bio-degradation pathways (Dvorak et al 2014b Kurumbang et al 2014)As a model these studies centered on detoxification of the industrialwaste compound and water pollutant TCP to glycerol - reaction cata-lysed by the haloalkane dehalogenase DhaA from Rhodococcus rhodo-chrous NCIMB 13064 and the haloalcohol dehalogenase HheC and theepoxide hydrolase EchA from Agrobacterium radiobacter AD1 (Bosmaet al 1999) In vitro steady-state kinetic data obtained for HheC EchAand three variants of DhaA were utilized to develop a kinetic model ofthe reaction that proved useful for revealing major bottlenecks in thepathway that is (i) low activity of wild-type DhaA on TCP and (ii)unbalanced enantioselectivity and enantiospecificity of the first and thesecond enzyme in the route DhaA and HheC respectively (Dvoraket al 2014b) Modelling was further applied to predict optimal enzymestoichiometry and fine-tuning overall pathway efficiency both in invitro conditions and in the heterologous microbial host E coli In E colithe pathway was established as a modular tunable system (Kurumbanget al 2014) Absolute amounts of pathway enzymes in the cell copynumbers of used plasmid vectors and toxicity levels of pathway sub-strate and intermediates were included in the mathematical model asadditional parameters Variants of the pathway predicted to promotebetter host survival in a medium with toxic TCP were verified ex-perimentally The observed precise matching between calculated andexperimental data confirmed the performance of the pathway in E coliand stressed the power of kinetic modelling when reliable parametersare available Finally the kinetic parameters of an optimal DhaA var-iant that would ensure sufficient TCP conversion to glycerol as well ashost cell growth on the toxic substrate were both predicted by mathe-matical modelling

This study shows that for engineering and implanting heterologouspathways complete knowledge of the host cell metabolic background isnot a must and a reliable strain design can be achieved with a relativelysimple mathematical model (Dvorak et al 2014b) Even so similarstudies that combine theoretical and experimental approaches in thedesign of pathways and strains for biodegradation are still rare Mostrecent work in the biodegradation field is restricted to application ofpurely experimental techniques from a repertoire of metabolic en-gineering discussed in the following section

232 Experimental tools for pathway and strain optimizationOnce the bottleneck reaction steps are identified and a solution is

proposed experimental techniques are applied to target the appropriategenes or regulatory mechanisms Engineering is traditionally conductedat the level of gene expression which affects the quantity of proteinGenes in native or synthetic pathways are usually overexpressed byintroducing plasmid vectors with extra copies of desired coding se-quences One popular approach also used for modular assembly of the

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TCP biodegradation pathway described above is to combine NovagenDuet plasmid vectors (Merck Millipore Germany) or derivatives such asePathBrick vectors which carry compatible replication origins andantibiotic markers (Kurumbang et al 2014 Tolia and Joshua-Tor2006 Xu et al 2012) This system allows effective propagation andmaintenance of up to four plasmids in a single E coli BL21 cell withλDE3 lysogen and modular assembly of multi-gene pathways SEVA(Standard European Vector Architecture) plasmids with standardizedarchitecture and nomenclature are an alternative modular vectorsystem tailored to allow cloning or expression of heterologous genes inP putida E coli and other Gram-negative bacteria with no specificneed for strain pretreatment (Martiacutenez-Garciacutea et al 2015) Up to fourplasmids each with one of the six available antibiotic markers (ampi-cillin kanamycin cloramphenicol streptomycin tetracycline genta-micin) four independent replication origins (RK2 pBBR1 pRO1600ColE1 RSF1010) and diverse cargoes can be combined in a single hostcell to fulfill the users needs A rich collection of constructs is alreadyfreely available (httpsevacnbcsices)

A set of compatible SEVA plasmids was used for instance in a studyof Nikel and de Lorenzo (2013) who described extrication of P putidaKT2440 from its strictly aerobic nature which prevents its use in in-dustrial anaerobic fermentors and certain bioremediation applications(Nikel and de Lorenzo 2013) Two scenarios were considered to ex-plain the inability of P putida to grow in anoxic conditions (i) un-balanced energy charge due to limited activity of the respiratory chainand (ii) lack of appropriate pathways for anoxic NADH re-oxidationThis two-fold problem was tackled by recruiting the pyruvate dec-arboxylase (pdc) and alcohol dehydrogenase II (adhB) genes from theanaerobe Zymomonas mobilis and the acetate kinase (ackA) gene fromthe facultative aerobe E coli to manipulate energy generation andredox balance in anoxic conditions To evaluate the potential of therecombinant host for anoxic biotransformations the authors used it as ahost for the haloalkane dehalogenase genes from P pavonaceae strain170 The resulting recombinant which bore two synthetic operons oncompatible plasmids pSEVA234 and pSEVA428 not only survived inanoxic conditions but also degraded the environmental pollutant 13-dichloropropene These results highlight the possibility of harnessingthe full potential of P putida KT2440 as a robust biocatalyst by precisecontrol of its energy and redox metabolism

Despite the widespread use of recombinant plasmids in proof-of-concept studies metabolic engineers must bear in mind that the in-troduction and massive expression of heterologous genes can affect hostfitness due either to additional metabolic load or to depletion of es-sential cofactors in redox reactions (Dvorak et al 2015 Glick 1995Wu et al 2016) This is even more important in the design of robustbacterial degraders that must cope with a spectrum of toxic substratesandor pathway intermediates and might need an additional energycharge and reducing cofators to cope with oxidative stress (Dvoraket al 2015 Nikel et al 2013) By-passing such difficulties is possibleby tuning inducer concentration applying lower-copy-number plasmidswith weaker promoters or by enzyme-mediated co-factor recyclingthrough overexpression of NAD+ kinase transhydrogenases or dehy-drogenases (Dvorak et al 2015 Nikel et al 2016b)

As an alternative expression of heterologous genes directly from thehost chromosome can be beneficial for greater stability of the desiredgenotypephenotype and improved host viability (Martiacutenez-Garciacuteaet al 2014a Santos and Yoshikuni 2014 St-Pierre et al 2013 Zobelet al 2015) Homologous recombination and site-specific or randomtransposition-based techniques have been developed to enable chro-mosomal insertion of single genes gene clusters or whole syntheticoperons or knockouts of genes that encode competing metabolicpathways (Loeschcke et al 2013 Martiacutenez-Garciacutea et al 2014a Santosand Yoshikuni 2014 St-Pierre et al 2013 Zobel et al 2015)

In a study by Samin and co-workers a mutant variant of haloalkanedehalogenase DhaA was introduced into the chromosome of 23-di-chloro-1-propanol-degrading P putida MC4 under the control of a

strong constitutive promoter using the Tn5 transposon-based deliveryvector (Samin et al 2014) Although the complete mineralizationpathway in strain MC4 is not yet fully understood the recombinantPseudomonas was the first microorganism shown to grow aerobically onTCP both in shaken flasks and in packed-bed reactor in continuous-flow conditions Mini-transposon systems have also been used suc-cessfully for chromosomal integration of the whole catabolic cluster asin the study by Wittich and Wolf who transplanted 11 genes from threedistinct bacteria into Cupriavidus necator H850 giving rise to the firstdesigner bacterium to show aerobic growth on a wide range of PCBincluding the two commercial pesticides Aroclor 1221 and Aroclor1232 (Wittich and Wolff 2007)

Gene expression balancing is undoubtedly a powerful metabolic en-gineering concept In addition to the approaches mentioned above forrather rough manipulation of gene expression numerous techniques forfine-tuning expression have been developed in recent years Surgicalcuts including computationally designed ribosome binding sites refinedarchitecture of the whole expression cassette mutagenesis of promoterregions tailored stability of mRNA molecules or altered gene order inthe operon were proven useful for optimizing bisynthetic pathways(Boyle and Silver 2012) In several cases expression adjustment was alsoconsidered in biodegradation pathway design de la Pentildea Mattozzi andco-workers achieved more rapid paraoxon hydrolysis in a recombinantP putida strain by altering the order of three genes in the operon forenzymes that convert one of the initial pathway intermediates (de laPentildea Mattozzi et al 2006) Expression of the dszB gene which encodes2-hydroxybiphenyl-2-sulfinate sulfinolyase the last rate-limiting enzymein the dibenzothiophene biodesulfurization pathway was improved byrearranging gene order and removing the overlapping structure in the dszoperon (Li et al 2007) Nonetheless especially in cases of syntheticmetabolic pathways composed of biocatalysts from diverse organismsthe activity selectivity stability or inhibition bottlenecks of individualenzymes can be too far-reaching to be solved by tuning expression of thecorresponding genes Moreover overexpression of endogenous or exo-genous genes often results in a metabolic burden and lower host viabilitydue to overconsumption of metabolic precursors (amino acids rRNAATP reducing cofactors) to fuel the synthesis of non-essential proteins(Glick 1995 Wu et al 2016) Protein engineering of bottleneck en-zymes then becomes a more reasonable approach

233 Protein engineering to eliminate bottlenecks of biodegradationpathways

Over the last two decades three distinct strategies were developed toallow the construction and identification of mutant enzymes with de-sirable properties (Bornscheuer et al 2012) The earliest approach ra-tional design exploits various computational techniques such as mole-cular docking homology modelling and molecular dynamics simulationstogether with site-directed mutagenesis protocols to generate targetedmutations that result in single or several modified variants of an enzyme(Damborsky and Brezovsky 2014) In contrast directed evolution usesrandom mutagenesis methods and is beneficial especially in cases whenneither the structure nor the catalytic mechanism of the enzyme isavailable (Brakmann 2001) Random methods of directed evolution arecombined with elements of rational enzyme modification to bypasscertain limitations of both approaches This focused directed evolutionapproach targets several specific residues or certain protein regions se-lected on the basis of prior structural and functional knowledge(Bornscheuer et al 2012) Mutation hot spots are chosen experimentallyand on a much larger scale computationally using powerful new al-gorithms and statistical tools such as HotSpot Wizzard or 3DM tool(Bendl et al 2016 Damborsky and Brezovsky 2014 Kuipers et al2010) A clear trend in recent years is the introduction of protein en-gineering into the metabolic engineering workflow

The activities of many enzymes that act on anthropogenic com-pounds are derived from promiscuous activities that are generally veryinefficient (Khersonsky and Tawfik 2010) In such cases protein

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engineering is the only possible solution Numerous reports from thefirst decade of the 2000s describe application of common protein en-gineering methods such as error-prone PCR DNA shuffling site-di-rected or saturation mutagenesis for engineering activity or selectivityof individual catabolic enzymes to halogenated hydrocarbons (Paralesand Ditty 2005 Wittich et al 2010) Recently the new challenge ofaccumulating plastic waste has attracted the attention of protein en-gineers who try to enhance the activities of certain bacterial or fungalenzymes such as esterases lipases or polyster hydrolases to syntheticpolymers including polyethylene terephthalate (PET) or polyurethanes(Wierckx et al 2015) For instance Wei and colleagues applied acomparison of crystal structures and molecular docking combined withside-directed mutagenesis to improve the activity of cutinase TfCut2from Thermobifida fusca KW3 towards PET at elevated temperaturesthat promote degradation of this oil-derived plastic (Wei et al 2016)Subsequent kinetic and in silico energetic analyses confirmed that theimprovement in PET hydrolysis was the result of a relief of productinhibition caused by single point mutation in the enzymes surface-ex-posed active site New unique PETase and MHETase shown to helpbacterium Indonella sakaiensis to depolymerize and utilize PET arepromissing candidates for protein and metabolic engineering exercisesthat might lead to biotechnological recycling of the polymer(Bornscheuer 2016 Yoshida et al 2016a) Alas such a promise is notdevoid of controversy about the very enzymes that could do the job(Yang et al 2016 Yoshida et al 2016b)

The studies reporting the implantation of constructed mutants in thecontext of the whole biodegradative pathway are nonetheless ratherrare Iwakiri and co-workers successfully applied Alcaligenes sp KF711harbouring engineered monooxygenase P450CAM for the dehalogena-tion of pentachloroethane to trichloroethane in anoxic conditions(Iwakiri et al 2004) In another study promiscuous toluene ortho-monooxygenase and epoxide hydrolase were engineered using DNA-shuffling and saturation mutagenesis the use of mutant genes allowedmore rapid aerobic degradation of chlorinated ethenes with less ac-cumulation of stress-inducing intermediates in recombinant E colibearing the synthetic pathway (Lee et al 2006 Rui et al 2004)

Mutants of DhaA the enzyme that initiates dehalogenation of TCPwere used in three of the previously mentioned studies that focused onTCP pathway engineering (Dvorak et al 2014b Kurumbang et al 2014Samin et al 2014) The DhaA31 variant with 29-fold improved catalyticefficiency towards the chlorinated substrate was prepared by combiningmolecular dynamics simulations of product release from the buried ac-tive site with site-directed and saturation mutagenesis in selected hotspots (Pavlova et al 2009) Another promising mutant with the potentialto remove the second serious bottleneck in the synthetic TCPpathwaymdashenantioselectivity of DhaA and high enantiospecificity ofHheCmdashoriginated from the work of van Leeuwen et al (2012) Theauthors targeted DhaA31 to obtain variants that convert TCP pre-dominantly into (R)-DCP which can be further converted by HheC at amuch higher rate than the (S)-enantiomer Five rounds of focused di-rected evolution using saturation mutagenesis with restricted codon setsprovided mutant DhaA r5-90R with 13 new amino acid substitutions andsubstantially improved (R)-selectivity Mutagenesis nevertheless affectedthe activity with TCP which dropped to wild-type DhaA levels themutant was later shown in in vitro and in vivo studies to be of no value forfurther improvement of TCP pathway efficiency (Dvorak et al 2014bKurumbang et al 2014) Additional engineering input is thus needed toobtain DhaA variants with improved activity and modified enantios-electivity that would promote smooth flux through the syntheticpathway (Fig 4) and allow growth of bacterial recombinants in minimalmedium with the toxic substrate (Kurumbang et al 2014)

It will be necessary to accelerate the processes of laboratory evo-lution and screening of new enzymes with enhanced properties inmutant and metagenomic libraries to make protein engineering ofgreater value in optimizing natural and synthetic catabolic pathways(Bouhajja et al 2016) Selection couples an improved enzyme property

with host survival which allows evengt 109 clonesenzyme variants tobe tested in a reasonable time New selection assays based on toxicsubstrate conversions into a harmless utilizable metabolite coupledwith fluorescence-activated sorting of surviving cells could for ex-ample be applied for the enrichment of new dehalogenase variantsfrom libraries prepared by directed evolution or a semi-rational ap-proach (Fernaacutendez-Aacutelvaro et al 2011 Fibinger et al 2015) Severalrecent studies presented workflows for high-throughput screening andcharacterization of improved enzyme variants or novel enzyme activ-ities These test schemes are based on (i) bioinformatic pre-screeningcombined with high-throughput experimental characterization of can-didate proteins (Bastard et al 2014) (ii) completely automated roboticplatforms manipulating clones growing in microtitre plates (Doumlrr et al2016) (iii) microcapillary arrays coupled with fluorescent assays andlaser extraction for recovery of live clones (Chen et al 2016) or (iv)single-cell sorting based on a fluorescent signal from clones with animplemented synthetic genetic circuit responding to a specific meta-bolite (Choi et al 2014) In silico screening of molecules that fit theactive site cavity of an available enzyme structure or reverse screeningof enzymes that can accommodate target substrate could supplementexperimental methods and reduce the time needed for discovery of newbiocatalysts for recalcitrant chemicals Indeed the potential of in silicoscreening methods was demonstrated when investigating cytochromeP450-mediated metabolism of xenobiotics (Raunio et al 2015) In arecent study by Aukema and colleagues docking and molecular dy-namics simulations allowed selection of biphenyl dioxygenase fromParaburkholderia xenovorans LB400 as the best candidate enzyme formetabolizing carbamazepine one of the most commonly identified re-calcitrant pharmaceuticals in rivers (Aukema et al 2016) The ex-perimentally verified rate of carbamazepine degradation by P xeno-vorans cells was 40-times greater than the best reported rates so far

As shown in the preceding sections the available toolbox of systemsbiology metabolic engineering and protein engineering applicable forre-factoring microbes and their catabolic pathways towards more effi-cient biodegradation of waste chemicals and recalcitrant pollutants isbecoming inordinately large Even so the defined workflows standardsand universally applicable principles for strain optimization were longmissing in the field of metabolic engineering despite which the aim toengineer living systems on a rational basis remained prevalent in thecommunity This goal led metabolic engineers to adopt standards andstrategies from another closely related field of synthetic biology thatwas established primarily to program living systems with a high pre-dictability

3 Synthetic biology approaches and tools for biodegradationpathway engineering

The principal underlying thought in synthetic biology is that anyliving system can be considered a set of separate usable componentsthat can be combined by the means of biological engineering in newarrangements to alter existing features or generate new ones (deLorenzo and Danchin 2008) Such biological engineering can be sim-plified by applying principles adopted from electronic engineering andcomputer science to produce predictable robust systems (genetic con-trol systems metabolic pathways chromosomes and whole cells) withnon-natural functions (Paddon and Keasling 2014) This would beachieved through the fabrication of thoroughly characterized stan-dardized recyclable parts From its very beginnings synthetic biologyhas been confronted with the need to define its practice precisely and todevelop clear generally applicable strategies as this was the only wayto guarantee and implement engineering principles in a field as sto-chastic as biology With its tools standards and the DBTA cyclestrategy synthetic biology has contributed as has no other scientificdiscipline to rationalize metabolic engineering Its bottom-up ap-proaches and synthetic devices are being implemented to make morerobust better controllable microbial cell factories Synthetic biology

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can and to some extent already contributes the same service with itsnew concepts to the fields of biodegradation and bioremediation In thethe Section 3 we will discuss examples of beneficial inclusion of syn-thetic biology into strategies for engineering pathways and whole cellsfor biodegradation of waste and polluting chemicals and perspectivesfor these initiatives

31 Development of robust microbial chassis for biodegradation of toxicchemicals

Genetic instability and negatively affected fitness are frequentlyencountered drawbacks of the native microbial hosts tailored by me-tabolic engineering for specific biodegradation purposes Syntheticbiology offers possible solutions for these problems by implementingDNA synthesis and genome editing strategies Both curiosity and pro-spective practical applications drive synthetic biologists to generatemicrobial cells with deleted parts of their genomes that encode re-dundant cryptic or even deleterious functions Such cells endowedwith a reduced genome as foundation to house and support hetero-logous genetic parts are collectively known as chassis (Adams 2016)An extreme case of a chassis is the so-called minimal cell (Glass et al2006) Chassis can be prepared by de novo synthesis of a reduced targetgenome and its implantation into a suitable cell envelope or throughsystematic deletions of non-essential genes in the genomes of an ex-isting natural host Microarray-based oligonucleotide synthesis is cur-rently used to provide a substrate (usually 5ndash50 oligos) for constructionof larger (usually 200ndash3000 bp) synthetic fragments (Kosuri andChurch 2014) Scarless methods including the popular Gibson as-sembly uracil assembly Golden Gate technology ligase cycling reac-tion or yeast recombination are used to combine sequence-verifiedgene-length fragments in even larger complexes (Casini et al 2015)DNA synthesis also allows preparation of standardized genetic parts(promoters ribosome binding sites genes terminators and so on) withverified codon-optimized sequences Despite breakthroughs in genesynthesis and DNA assembly methods this last approach for chassisconstruction seems far more feasible at the moment considering thelesser demand of chromosome editing experiments the constantly ex-panding portfolio of genetic tools and the growing list of micro-organisms with intentionally reduced genomes (Martiacutenez-Garciacutea and de

Lorenzo 2016 Si et al 2015)Discarding non-essential cell functions shows considerable potential

not only for biosynthetic purposes (Hutchison et al 2016) but also fordesigner biodegradation and bioremediation A recent report on thesystematic deletion of 11 non-adjacent genomic regions in P putidaKT2440 (Fig 5) is a unique example of genome streamlining in apopular bacterial host with well-defined biodegradation capabilities(Martiacutenez-Garciacutea et al 2014b) In all 300 genes were eliminated thatis 43 of the entire KT2440 strain genome using the scar-less deletionprocedure based on homologous recombination after in vivo DNAcleavage by the homing Saccharomyces cerevisiae nuclease I-SceI(Martiacutenez-Garciacutea and de Lorenzo 2012) A suite of functions was tar-geted including the complete flagellar machinery whose assembly andfunction drains ATP from the cells and consumes NAD(P)H Four pro-phages two transposons and three components of DNA restriction-modification systems were also eliminated to minimize genetic in-stability The resulting strains designated P putida EM42 and EM383(the latter lacks the recA gene that encodes recombinase A) showedclearly superior growth properties and improved overall physiologicalvigour compared to wild-type KT2440 Moreover due to the higherNADPHNADP+ ratio the reduced-genome strains also better toleratedendogenous oxidative stress a property that provides a crucial ad-vantage for catalysing harsh biodegradation reactions such as aerobicdehalogenation of chlorinated pollutants (Nikel et al 2013)

Despite their reliability and robustness the procedures based onthese genome editing tools are time- and labour-intensive and re-stricted to a limited number of model microorganisms This problem isnow being challenged by new protocols that profit from the type IIbacterial Clustered Regularly Interspaced Short Palindromic Repeats(CRISPR) and CRISPR-associated protein (Cas) Multiple AutomatedGenome Editing (MAGE) and combinations thereof (Barrangou andvan Pijkeren 2016 Wang et al 2009) Nonetheless these technologiesalso suffer from some weaknesses such as generation of numerous off-target mutations The off-target problem of the CRISPR-Cas system wasrecently mitigated by engineering high-fidelity Cas9 nucleases(Kleinstiver et al 2016) In a similar manner the number of off-targetmutations during MAGE was reduced substantially when temperature-sensitive control of the endogenous methyl-directed mismatch repairsystem was introduced into the E coli host together with a dominant

Fig 4 Hypersurface plot describing the effect of catalytic efficiency (kcatKm) and enantioselectivity (E-value) of haloalkane dehalogenase DhaA on the production of glycerol in the TCPpathway The hypersurface was calculated using the mathematical model of the TCP pathway (Dvorak et al 2014b) using the constraints of Kurumbang and co-workers (Kurumbanget al 2014) Positions of four DhaA variants DhaAwt (wild type kcatKm = 70 Mminus1 sminus1 E-value = 1) DhaA r5-90R (kcatKm = 20 Mminus1 sminus1 E-value = 10) DhaA31 (kcatKm = 600 Mminus1 sminus1 E-value = 1) and hypothetical DhaAXX (kcatKm = 700 Mminus1 sminus1 E-value = 10) are indicated by red dots Note that the majority of mutations (orange spheres)introduced into DhaA r5-90R and DhaA31 are adjacent to the active site (red spheres) and to the access tunnels (in green) Hypothetical enzyme DhaAXX with 10-fold improved catalyticefficiency and 10-fold improved enantioselectivity compared to DhaAwt would enable production of 1 mM glycerol (red line) from 2 mM TCP in the culture of recombinant E coliBL21(DE3) within 24 h time interval Such glycerol concentration will be sufficient to support the cell growth Figure was adopted and modified from (Kurumbang et al 2014) (Forinterpretation of the references to colour in this figure legend the reader is referred to the web version of this article)

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negative mutator allele of the E coli mismatch repair protein MutL(Nyerges et al 2016) By placing this highly conserved allele togetherwith λ Red recombinase genes and a temperature-sensitive λ repressoron a single broad-host range plasmid Nyerges and co-workers provideda simplified MAGE variant (pORTMAGE) that allowed genome editingand mutant library generation in several biotechnologically and clini-cally relevant bacterial species with no need for prior modifications ofparental strains The recent discovery of the Ssr protein from P putidaDOT-T1E a functional homologue of the β protein of the λ Red re-combination system paved the way for oligonucleotide-mediatedmultiplex genome engineering in pseudomonads including P putidaKT2440 and its derived platform strains EM42 and EM383 (Aparicioet al 2016) Continuing facilitated reduction of their genomes (dele-tions of multiple repetitive sequences or certain proteases) and genomesof other relevant bacterial hosts will provide more reliable robustchassis for biodegradation pathway engineering

32 Development of synthetic microbial consortia for enhancedbiodegradation and bioremediation of pollutants

An alternative strategy that allows for the emergence of more robustmicrobe-based bioprocesses is just the opposite of the systematic de-velopment of bacterial chassis based on individual wild-type strainsNatural microbial consortia perform complicated biocatalytic taskssuch as lignocellulose degradation wastewater purification or in-testinal food digestion By dividing the labour and metabolic burdenthe consortium members become more flexible when facing complexenvironmental conditions Distribution of catabolic capacity amongcells of a single organism among different bacterial strains or evenamong species from different kingdoms is pivotal this is especially truefor biodegradation of complex toxic chemicals which encompassesmany steps and harmful intermediates with diverse physicochemicalproperties The idea of exploiting consortia for directed biodegradationof polluting compounds and bioremediation of contaminated sites thuslies ready to hand

Application of natural microbial consortia has already shown pro-mise for bioremediation of sites polluted with anthropogenic pesticidessuch as diclofop methyl or atrazine (Baghapour et al 2013 Wolfaardtet al 1994) Together with the new field of synthetic biology attemptsare being made to modify the structure of original natural consortia ordevelop completely new artificial organizations of co-operating mi-croorganisms For example co-culture of engineered E coli SD2 and Pputida KT2440 was used successfully to mineralize the insecticideparathion in shaken flasks and in biofilm culture (Gilbert et al 2003)In another study complete mineralization of 246-tribromophenol aflame-retardant intermediate and pesticide was achieved using an

artificial anaerobe consortium of reductive debrominator Dehalobactersp FTH1 a hydrogen supplier Clostridium sp Ma13 and the 4-chor-ophenol-degrading strain Desulfatiglans parachlorophenolica DS (Li et al2015) Recently Martiacutenez and co-workers introduced an attractive al-ternative strategy for engineering the 4S pathway (Fig 6A) a para-digmatic bioprocess for removal of the recalcitrant sulphur from aro-matic heterocycles in fuels (Martiacutenez et al 2016) The pathwayencoded by dszABCD genes converts the model compound di-benzothiophene (DBT) into sulphur-free 2-hydroxybiphenyl (2HBP)The authors initially synthesized and re-arranged the original genes andoptimized transcriptional and translational signals for P putida KT2440By dividing the pathway into three separate modules expressed in-dividually they were able to define previously unreported bottlenecksin the pathway that is the inhibitory effect of intermediate 2HBP-sulfinate (HBPS) on DszA and DszC monooxygenases and HBPS leakageinto the culture medium from which it could not be transported backinto the cells for further processing To prevent HBPS accumulationtwo P putida strains bearing dszC1-D1 or dszB1A1-D1 modules weremixed as a suspension of resting cells When the strains were combinedat a 14 ratio and added with cell-free extract containing extra DszBalmost 100 of DBT was transformed into 2HBP in assay conditions

Considerable attention is currently being dedicated to developingstrategies for biodegradation of oil and oil-derived chemicals Patowaryand co-workers designed a potent microbial consortium for prospectivedecontamination of sites exposed to polycyclic aromatic hydrocarbonsfrom crude oil (Patowary et al 2016) The authors first inspected thebiodegradative capacity for total petroleum hydrocarbons of 23 bac-terial isolates from petroleum-contaminated soils and subsequentlydesigned 14 artificial consortia based on the five most efficient isolatesThe best designer consortium comprised of two biosurfactant-produ-cing hydrocarbon-degrading strains of Bacillus pumilus and B cereusshowed up to 84 degradation of total petroleum hydrocarbons afterfive weeks as verified by gravimetric FTIR and GCMS analyses Ap-plication of natural or re-designed bacteria and their consortia alsoholds considerable promise for decomposition of oil-derived plasticwaste (Skariyachan et al 2016 Yoshida et al 2016a 2016b)

New tricks for more efficient biodegradation strategies could beadopted from inspiring current research on synthetic consortia designedto decompose and valorize lignocellulosic biomass (Minty et al 2013)Tozakidis and co-workers reported application of an engineered con-sortium of three P putida strains displaying thermophilic en-doglucanase exoglucanase or β-glucosidase for concerted hydrolysis ofcellulose at elevated temperatures (Tozakidis et al 2016) Some studiesdescribe surface display of whole designer cellulosomes ndash syntheticenzymatic nanomachines whose natural counterparts are produced bycertain cellulolytic bacteria that exploit clustered surface-attached

Fig 5 Engineered Pseudomonas putida KT2440 as a newrobust chassis for biodegradation and bioremediationMartiacutenez-Garciacutea and colleagues used in-house genomeediting tools to streamline the chromosome of Pseudomonasputida KT2440 (Martiacutenez-Garciacutea et al 2014b) Deletion of43 of the original genome gave rise to the new platformstrains EM42 and EM383 whose advantageous propertiesmake them useful chassis for engineering biodegradationpathways and other applications

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cellulases for efficient depolymerization of cellulose and hemicellulose(S Kim et al 2013 Moraiumls et al 2014) The vast majority of the workthat exploits surface display systems for whole-cell removal of en-vironmental contaminants has been restricted to individual proteinssuch as laccases methyl parathion hydrolase or triphenylmethane re-ductase (Gao et al 2014 Liu et al 2016 Yang et al 2012) It istempting to expand available surface display technologies with cellu-losome parts for the design of synthetic consortia that would catalysemore complex biodegradation reactions including polymeric substratesor toxic metabolites outside the cells

Despite their true biotechnological potential microbial consortiaremain too complex for directed long-term application either for bio-synthesis or for biodegradation It is still difficult to engineer home-ostasis and evolutionary stability in an artificial multi-cellular systemwhose behaviour becomes unpredictable with time (Escalante et al2015) Attempts to adopt principles of intercellular communication forsynthetic consortia are just at their beginnings (Hennig et al 2015Scott and Hasty 2016) Intensive co-operation of genetic engineers andevolutionary biologists with microbial ecologists and chemists willobviously be needed to derive a deeper understanding of the processesthat rule the formation and survival of natural microbial consortiaLessons learnt from nature can be implemented and combined withcompletely anthropogenic orthogonal genetic devices for more reliabledesign of stable multicellular systems

33 Development of orthogonal systems in bacteria to enhance pollutantbiodegradation and bioremediation

Orthogonal or in other words parallel independent systems1 is a key

concept in synthetic biology as long as such quality makes live systemsmore amenable to bona fide engineering Orthogonalization involveseg use of unnatural genetic codes (for example quadruplet rather thantriplet) alternative transcription-translation machineries toggleswitches and genetic circuits for assembly of novel metabolic andsignalling pathways from proteins containing non-natural amino acids(An and Chin 2009 Wang et al 2012) Such metabolic pathways couldhave new functions and would synthesize or catabolize a fresh spectrumof compounds Ideally orthogonal pathwaysmodules interact mini-mally with their natural counterparts in the host cell This improvespredictability of the component behaviour and prevents inhibitorycross-talk following introduction of the pathway or circuit into an ex-isting metabolic network (Kim and Copley 2012 Kurumbang et al2014) In an orthogonal module the input and output molecules ofgenetic circuitsmdashor enzymes and metabolites of synthetic biochemicalroutesmdashare not degraded or inactivated by side-reactions or physico-chemical conditions of the host cell While complete orthogonality isvirtually impossible in biological systems a practicable level of context-independence is indeed feasible Some examples of claimed orthogonalsystems include simple synthetic genetic circuits switches or designedmetabolic pathways These have the potential to improve function ofindividual engineered bacteria or synthetic consortia as whole-cellbiosensors and degraders of recalcitrant chemicals

Sensitivity robustness and applicability of microbial biosensors fordetecting heavy metals or halogenated hydrocarbons can be greatlyimproved by implementing orthogonal genetic devices (Bereza-Malcolm et al 2015) Thus far simple microbial biosensor designsbased on one input and two-part regulatory systems with promoter andreporter providing a coloured fluorescent bioluminescent or electricsignal prevail in the literature (Ravikumar et al 2017) Reports onmore complex multi-input systems based on Boolean logic gates are stillrare but give us a clue to future developments in the field As firstoutlined by the work of Wang et al (2016) orthogonally acting multi-

Fig 6 Examples of synthetic biology approaches applied toengineering biodegradation pathways and whole-cell de-graders (a) Martiacutenez and co-workers divided the 4Spathway for sulphur removal from aromatic heterocyclesinto two modules (dszC1-D1 and dszB1A1-D1) that wereexpressed individually in two P putida KT2440 strains toform a synthetic consortium (Martiacutenez et al 2016) Com-bining the strains at a 14 ratio and mixing them with cell-free extract from the third strain producing DszB resulted inalmost complete conversion of dibenzothiophene into sul-phur-free 2-hydroxybiphenyl in assay conditions (b) Wanget al constructed a synthetic bacterial consortium in whicheach of the two E coli strains functioned as a double inputsensor with synthetic AND gates for detecting arsenicmercury and copper ions and quorum sensing molecules(3OC6HSL Wang et al 2013) Strain 2 generated redfluorescence only in the presence of all three metal ions inculture (c) Benedetti and colleagues achieved directedtransition between planktonic and biofilm lifestyles of Pputida KT2440 by controlling cyclic di-GMP levels with anorthogonal genetic device composed of the yedQ diguany-late cyclase gene from E coli under the control of the cy-clohexanone-responsive ChnRPchnB regulatory node fromAcinetobacter johnsonii (Benedetti et al 2016) Designedcells with a synthetic operon for 1-chlorobutane biode-gradation formed inducible biofilms with higher dehalo-genase activity than free planktonic bacteria (d) Dvorakand co-workers assembled the first in vitro synthetic biode-gradation pathway for 123-trichloropropane (TCP) bycombining engineered haloalkane dehalogenase DhaA31halohydrin dehalogenase HheC and epoxide hydrolaseEchA immobilized in cross-linked enzyme aggregates(CLEAS) and polyvinyl alcohol particles (LentiKats) (Dvoraket al 2014a) The immobilized pathway converted highconcentrations of toxic TCP into glycerol in contaminatedwater for more than two months of continuous operation in

a bench-top packed bed reactor (For interpretation of the references to colour in this figure legend the reader is referred to the web version of this article)

1 The mathematical and geometrical concept of orthogonality has been adopted first bycomputing science and then by synthetic biology to signify operative independenceSystem A is orthogonal to system B if A does not influence Bmdashand vice versa

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inputmulti-output logic gates will be especially valuable for detectingmixtures of polluting chemicals (organic inorganic or both) by pro-viding a specific signal for each of the constituents (He et al 2016Wang et al 2011) Developing such biosensors is of practical im-portance as polluted environments are usually burdened with nu-merous contaminants that have diverse physicochemical propertiesThe authors engineered a set of two-input E coli-based biosensors withsynthetic AND gates using signalling sensory modules from native two-component signal transduction pathways as well as hrpR and hrpSgenes along with their HrpL promoter element from P syringae Usingthese sensors they detected arsenic mercury copper and zinc ions aswell as quorum sensing molecules in aqueous environment (Wang et al2011) The most advanced design resulted in a triple-input AND logic-gated biosensor that formed a synthetic bacterial consortium in whicheach of the two members acted as a double input sensor (Fig 6B) In thepresence of arsenic and mercury the first strain formed a quorumsensing molecule (3OC6HSL) that diffused freely into the medium andwas sensed together with Cu2+ by the second strain which provided ared fluorescent signal (Wang et al 2013) The fluorescent response wasseen only when all three metal ions were present in the culture

Reliable orthogonal devices will be crucial for engineering artificialcell-cell communication for instance taking advantage of bacterialquorum sensing systems (Hennig et al 2015 Scott and Hasty 2016)Programming the dynamics of subpopulations of synthetic consortiathat perform complex tasks will be only possible with parallel geneticcircuits and signalling molecules unknown to the host cells (Chen et al2015) As stressed by Silva-Rocha and de Lorenzo (2014) catabolicpathways for recalcitrant and xenobiotic compounds could be a reliablesource of wiring devices and molecules These pathways are frequentlyfound in specific types of organisms and metabolic crosstalk can thusbe avoided by implementing components of such networks in suitablehosts For instance aromatic molecules such as benzoate or phenol canbe used as signal inducers that are recognized by regulatory proteinsthat trigeger expression of target genes The recent determination of thecrystal structure of the sensory domain in the phenol-responsive tran-scription activator PoxR ilustrates how aromatics are sensed in bacteria(Patil et al 2016) This study paves the way for wider application ofrationally engineered transcription regulators responsive to aromaticsin the design of synthetic genetic circuits

The dynamic behaviour of the whole biodegradation pathway canalso be better studied when the route is transferred into a distant hostchassis where it acts orthogonally The orthogonal nature of the syn-thetic pathway for TCP biodegradation in the surrogate host E coliBL21 (DE3) described in Section 231 allowed a very good matchbetween in silico predicted and in vivo metabolite concentrations andprecise description of the bottlenecks (Kurumbang et al 2014) as wellas deciphering the contribution of metabolic burden and substratemetabolite toxicity to the fitness cost of TCP biotransformation bywhole-cell catalysts (Dvorak et al 2015) Despite their benefits for suchmechanistic and proof-of-concept studies laboratory E coli strainsmight not be optimally suited for the harsh conditions that accompanybiodegradation and bioremediation processes (Adams 2016 Nicolaouet al 2010) Development of reliable chassis amenable to implantationof orthogonal genetic devices is therefore desirable These new cellplatforms should be based on robust environmental strains of Pseudo-monas Rhodococcus Deinococcus and other microorganisms with broadmetabolic versatility and natural resistance to organic solvents or heavymetals (Adams 2016)

One can also take advantage of other specific properties of en-vironmental bacteria including formation of a robust biofilm As shownrecently by Benedetti and colleagues the actual physical forms ofwhole-cell biocatalysts can be mastered using orthogonal genetic parts(Fig 6C) through the so-called synthetic morphology approach (Benedettiet al 2016) Pseudomonads generate biofilms with biophysical prop-erties that depend on the species Cyclic di-GMP (c-di-GMP) is the keysignal molecule that rules the complex regulatory network mediating

the transition between planktonic cells and biofilm formation Thisfeature was exploited to design an orthogonal genetic device for ma-nipulating the native c-di-GMP biochemistry in P putida thereby con-trolling biofilm formation (Benedetti et al 2016) The E coli yedQ gene(encoding diguanylate cyclase the enzyme that synthesizes c-di-GMPfrom GTP) was placed under control of a tightly regulated cyclohex-anone-responsive expression system A synthetic operon encoding theenzymes needed for 1-chlorobutane biodegradation was also in-troduced in the engineered biofilm-forming P putida strain Upon ac-tivation of the corresponding genetic modules with appropriate in-ducers the resulting P putida biocatalyst displayed high dehalogenaseactivity in robust biofilms

The modern approaches of biological engineering accelerate thedevelopment of whole-cell biocatalysts for in situ bioremediation orbiosensing of emerging environmental pollutants Field applications ofgenetically modified microorganisms are nonetheless restricted bycurrent legislation and hindered by the unreliable behaviour of re-combinant microbes in complex fluctuating environments Syntheticbiology can help to tackle the major problems through the means de-scribed at the beginning of this chapter ie non-canonical geneticcodes and xenobiochemistry which can prevent diffusion of undesiredsequences into the environmental gene pool differentiate recombinantsfrom their natural counterparts and improve robustness and reliabilityof prepared genetic devices whole-cell degraders and biosensors Theexamples of such endeavours were recently reviewed extensively(Schmidt 2010 Schmidt and de Lorenzo 2016) These systems couldbe combined with bioluminiscence fluorescence or DNA watermarkingtechnologies to track the environmental fate of designer degraders orwith inducible suicide systems for discarding degraders once theirmission is completed (Liss et al 2012 Liu et al 2010 Paul et al2005) Yet the path to applied xenobiology is still crooked and manyethical questions remain Another concept from the portfolio of syn-thetic biology that will be discussed in the following section has thepotential to fill the time gap until we obtain reliable whole-cell catalystsand alternative solutions also acceptable for GMO critics will be pro-vided

34 Engineering microbial biodegradation pathways in vitro

The major principle of cell-free synthetic biology is that purifiedbiomolecules or components in crude cell extracts replace intact cellsfor constructing complex biomolecular systems (Hodgman and Jewett2012) To date metabolic networks that encompassgt 10 enzymeshave been reconstructed in vitro (Rollin et al 2015 Schwander et al2016) Cell-free metabolic pathways allow easy verification of bioca-talyst function determination of kinetic parameters as well as eva-luation of the network by kinetic modelling (Santacoloma et al 2011)Note however that assemby of degradative pathways in cell-free sys-tems (whether with purified enzymes or cell extracts) is not only toprototype and parametrize new routes but also for direct use in thefield (Karig 2017) Despite the drawbacks that cell-free systems cannotself-propagate that certain biomolecules can be sensitive to oxidizingenvironments and that their encapsulation and large-scale productionmight be costly these systems offer an appealing means to circumventproblems associated to GMO release to the environment Apart fromincreasing safety they offer other clear benefits For instance in vitrosystems can operate in the presence of toxins that would inhibit or killlive cells and metabolites regulators and enzymes can be produced inoptimized concentrations without interfering with cell componentsMost important for release and predictability the evolutionary oppor-tunities of such non-live agents are zero making the emergence ofunexpected properties virtually impossible

In vitro metabolic networks can suffer from suboptimal efficiencydue to the lower enzyme concentration compared to the extremelydense cell cytoplasm (Hodgman and Jewett 2012) This issue can bemitigated by enzyme immobilization and improved spatial organization

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via synthetic protein or DNA scaffolds that reduce diffusion of pathwayintermediates and promote substrate channeling (Siu et al 2015) Al-ternatively biocatalysts can be precipitated and covalently inter-connected in cross-linked enzyme aggregate particles (Sheldon 2011)this method was applied successfully to synthesize toxic nucleotideanalogues by an immobilized five-enzyme synthetic pathway (Scismand Bachmann 2010) The biochemical route described was completedwith functional ATP regeneration which demonstrates that in vitrotechnologies can cope with another possible drawback ndash limited co-factor recycling

Thus far mainly single immobilized enzymes or whole-cell bioca-talysts have been exploited in biotechnological processes intended toremove polluting chemicals such as polyethylene terephthalate 24-dinitrophenol atrazine or inorganic nitrates (Barth et al 2016Dehghanifard et al 2013 Mutlu et al 2015 Troumlgl et al 2012) In vitroassays with cell-free extracts or purified enzymes respectively helpedto identify an unknown anaerobic pathway for complete phthalatedegradation to CO2 in Thauera chlorobenzoica 3CB-1 or to decipher se-questration of the highly toxic intermediate tetrachlorobenzoquinone inpentachlorophenol degradation pathway in Sphingobium chlor-ophenolicum (Ebenau-Jehle et al 2017 Yadid et al 2013) Geuekeet al showed the benefits of an in vitro engineering approach in themodel of γ-HCH biodegradation pathway (Geueke et al 2013) Theyused a system of two purified enzymes the dehydrochlorinase LinA andthe haloalkane dehalogenase LinB which initiate biotransformation ofγ-HCH a prohibited insecticide They separately incubated five isomersthat form technical HCH (which used to be applied frequently instead ofpure γ-HCH) with various LinALinB ratios and determined metabolicprofiles of sequential biotransformations Analyses of these profileshelped determine the environmental fate of HCH isomers and showedthat the original HCH degradation pathway is optimized by evolutionfor γ-HCH but not for other isomers that co-pollute contaminated sites

The first report of in vitro assembly of a fully functional syntheticbiodegradation pathway was published by Dvorak and co-workers(Dvorak et al 2014a) The authors adopted the cell-free strategy usingimmobilized engineered haloalkane dehalogenase DhaA31 halohydrindehalogenase HheC and epoxide hydrolase EchA for TCP bio-transformation to harmless valuable glycerol in contaminated water(Fig 6D) The practical utility of bacterial recombinants that mineralizeTCP (desccribed in Sections 231 and 232) is limited by substratetoxicity and by legislative barriers on the application of GMO(Kurumbang et al 2014 Samin et al 2014) Probing the function ofthe pathway in in vitro conditions therefore lied ready to hand Theauthors successfully immobilized the pathway in the form of purifiedenzymes or cell-free extracts in cross-linked enzyme aggregates andlens-shaped polyvinyl alcohol particles The immobilized pathwayshowed almost the same efficiency of TCP-to-glycerol conversion asmixture of free enzymes Physicochemical properties of polyvinyl al-cohol lentils allowed recovery from the reaction mixture and recyclingof the pathway In addition the immobilized enzymes retainedgt 50of their initial activities for over 2 months of continuous operation in abench-top packed bed reactor The study indicated that the im-mobilized route removes TCP from heavily contaminated water with apollutant concentration (~1 gL) that would be detrimental to theliving degraders One can anticipate that such conversions of toxic TCPto useful glycerol could even pave the way for prospective valorizationof this waste chemical

Although this biotechnology requires further validation and tuningthe work showed that in vitro assembly of natural or synthetic enzy-matic pathways with engineered enzymes is a promising concept for thebiodegradation of polluting compounds and toxic industrial wasteproducts Transport of such pathways via non-live carriers is relatedconceptually to efforts to produce and release complex therapeuticagents for human use In both cases their application demands thedevelopment of a sort of environmental Galenic science that enablessupply of the engineered biological remedy when and where needed

4 Towards planet-wide bioremediation interventions CO2

capture as a large-scale challenge

Environmental deterioration due to emissions of recalcitrant che-micals seems to pale when compared to the problem of global warmingcaused by the release of greenhouse gases that originate in human ac-tivities The bulk of these gases comprise four natural molecules carbondioxide (CO2) methane (CH4) nitrous oxide (N2O) and ozone (O3) aswell as one class of xenobiotics the chlorofluorocarbons or CFC Giventhe diluted aereal and global nature of this problem the strategiescontemplated for tackling these chemical species differ considerablyfrom those that centre on site-specific pollution issues Most proposalsthus far focus much more on reducing emissions than on capture andreturning to innocuous chemical or mineral forms All these compoundshave their own natural biogeochemical cycle and in theory simplyreducing their input into the biosphere should restore the originalequilibrium (Rockstroumlm et al 2017) Recent ecological thought none-theless postulates that the impact of climate change in many ecosystemsis already irreversible by natural means and call for large-scale inter-ventions that could help to resolve this impasse (de Lorenzo et al2016) In this case what types of options could be considered from asystemic biology perspective

Some incipient attempts have appeared recently mostly in the fieldof engineering bacteria with a greater capacity for non-photosyntheticfixing of CO2 (Erb and Zarzycki 2016) One option is to use the sixalternative pathways of autotrophic carbon fixation known in nature(Fuchs 2011 Hicks et al 2017) as a starting point to optimize suchnatural processes Another possibilty is the invention of new routes byrewiring or modifying existing enzymes in a new configuration A re-markable example of this solution is the work of Antonovsky et al(2016) who showed that combining metabolic rewiring recombinantprotein expression and laboratory evolution enables the production ofsugars and other biomass constituents by a fully functional Calvin-Benson-Bassham (CBB) cycle in E coli In the bacteria designed in thisway carbon is fixed via a refactored CBB cycle whereas reducingpower and energy are derived from pyruvate oxidation (Fig 7) It isinteresting to note how evolutionary approaches adjust fluxes andgenerate connections between the designed CBB cycle and the hostbiochemical network that cannot be predicted or designed

A separate approach was recently developed by Schwander et al(2016) who developed a synthetic route for continuous CO2 fixation invitro by composing a cycle formed of 17 enzymes that convert CO2 intoorganic molecules The cycle was draughted by metabolic retro-synthesis with enzymes from nine organisms from three domains of lifefurther optimized through rounds of protein engineering and metabolicproofreading Although this completely designed pathway has not yetbeen implemented in vivo (eg in a bacterial carrier) it is a question oftime until it is done and propagated throughout an entire microbialcommunity (de Lorenzo et al 2016)

Finally todays systemic approaches enable the invention of en-zymes from scratch through de novo protein design followed by directedevolution which opens perspectives for improving the natural state ofaffairs regarding fixation of CO2 (and other greenhouse gases) as well asvalorization of this waste as biotechnological feedstocks (Huang et al2016 Renata et al 2015) A separate matter is the large-scale de-ployment of the microbial agents for CO2 retrieval Existing technologyallows their implementation in biofilters and bioreactors that captureemissions at source But how can we spread such desirable catalyticproperties at a very large even at planetary level to make a differenceSuch technologies are not yet availablemdashlet alone that they raise a largenumber of safety questions But they must necessarily be developed ifwe are not just to control greenhouse gas discharges but also aim attheir eventual reduction to pre-industrial levels (de Lorenzo et al2016)

Unfortunately greenhouse gases are not the only globally wide-spread molecules to be concerned about Much before global warming

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associated to CO2 emissions became so conspicuous widespread pol-lution by endocrine disruptors (eg alkylphenols bisphenols DDTPCBs polybrominated diphenyl ethers phthalates and per-fluorooctanoic acid) was well documented Moreover other silent pol-lutants originate in the pharmaceutical industry eg antibiotics(Marathe et al 2017) and hormones They end up in a large variety ofecosystems in a diluted but still active form Finally plastics (egpolycarbonate polystyrene polyethylene terephthalate lowhigh-density polyethylene polypropylene and polyvinyl chloride) are cur-rently receiving a considerable focus as a major environmental pro-blem A number of microbial strains able to totally or partially act uponthese compounds have been isolated (see above) but in general thebiodegradation process is very slow The global nature of these types ofpollution thus requires the development of new efficient microbialpathways for their elimination quite a challenge for contemporarysynthetic biologists and metabolic engineers (de Lorenzo 2017)Butmdashas is the case for CO2 capture mentioned abovemdashpathways andhosts able to deploy them are not enough Effective strategies for globaldispersion of biodegradative activities of interest are badly nee-dedmdashperhaps inspired in gene drives or some type of self-propagatingmassive horizontal gene transfer (de Lorenzo et al 2016)

5 Conclusions and perspectives

The practical examples described in the preceding sections showthat technologies of systemic biology offer promise not only for therenaissance of bioremediation using anthropogenically enhanced mi-crobial degraders but also for entry to the new era of Bioremediation30 The bottlenecks described at the beginning of this text are one byone being released or removed with the help of new computational andexperimental tools Databases and pathway prediction systems help the

user to select suitable chemically and energetically feasible traits fordesired tasks Multi-omic analyses provide valuable information thatfacilitates choice of a suitable host Genome-scale and kinetic modelsapplied hand-in-hand with genetic engineering techniques enable tai-loring of gene expression reduction of metabolic burden and pathwayoptimization in the context of host metabolism The visionary conceptsof synthetic biology and global scale CO2 bioremediation open up newdimensions for engineering microbial degraders General work schemesand standards for design building and fine-tuning of selected bio-chemical routes networks and whole-cell biocatalysts are simulta-neously becoming better defined and accepted by the community

Despite the clear progress over the last decade of biochemical andbiological engineering the vast complexity of the living cell remainsthe major hurdle for any attempt for fully rational pathway design Inthe case of biosensing and biodegradation pathway design and pro-spective applications of the genetically-modified microbes this problemis exacerbated by the complexity of intercellular and interspecific in-teractions and by the still poorly understood interplay between thebiotic and abiotic factors that govern contaminant biodegradation inpolluted ecosystems (de Lorenzo 2008 Meckenstock et al 2015) Weassume that in principle there are two ways to address this challengenow and in future

The first admits that complexity of biological systems will not beresolved anytime soon and thus bets on combining rational designs withnatural evolution at the end of the DBTA cycle thus expanding it toDBTAE (Design-Build-Test-Analyze-Evolve) Adaptive laboratory evo-lution (ALE) is a high calibre tool of this approach ALE is now frequentlyused by academic and industrial laboratories to evolve desired prop-erties in environmental bacteria and for fine-tuning recombinant mi-croorganisms but its principles have been well known since the time ofthe very first attempts to modify microbial phenotypes (Kellogg et al

Fig 7 Hemiautotrophic growth of engineered E coli al-lowed by decoupling energy production and carbon fixa-tion The hemiautotrophic growth was observed after per-forming three distinct steps (i) Calvin-Benson-Bassham(CBB) cycle for the biosynthesis of sugars from CO2 wascompleted by introducing only two exogenous enzymaticactivities phosphoribulokinase (prkA) and RuBisCO (ii)phosphoglycerate mutase genes gpmA and gpmM were de-leted to separate central metabolism into two sub-systemsie a CO2-fixing part that included PrkA RuBisCO upperglycolysis and the pentose phosphate pathway and an en-ergy-supplying module that employed lower glycolysis andthe TCA cycle (iii) the engineered strain bearing furthermutations (ΔpfkA ΔpfkB Δzwf) was exposed to the strongselective pressure towards greater carbon fixation in xylose-limited chemostat with a surplus pyruvate and CO2Emerged mutations made designed CBB cycle functionaland the hemiautotrophic strain that replaced utilisation ofxylose with CO2 fixation dominated the populationFigure adapted from Antonovsky et al (2016)

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1981) In biodegradation research exposing microorganisms with de-sirable catabolic traits to the target chemical(s) for prolonged intervalsin chemostat or shaken-flask cultures enabled isolation of bacteria ableto use persistent compounds such as 245-trichlorophenoxyacetic acid(the defoliating Agent Orange) or helped improve atrazine degradationrates by Pseudomonas sp ADP or 24-dichlorophenoxyacetic by Ral-stonia sp TFD41 (Devers et al 2008 Kellogg et al 1981 Nakatsuet al 1998) Nonetheless the potential of ALE in engineering microbialdegraders has yet not been fully exploited ALE will be an ideal tool forempowering rationally pre-designed recombinants with resistance todiverse environmental stresses encountered in directed biodegradationprocesses or in polluted ecosystems (Nicolaou et al 2010 Oide et al2015 Wang et al 2016) When combined with whole-genome se-quencing and reverse engineering ALE as an evolutionary ldquoblindrdquo ap-proach can paradoxically contribute to further rationalizing the field byexposing otherwise unpredictable complex changes in multitrait phe-notypes

The second approach bets on technology without compromise andwill take advantage of continuing technological revolution in biologyand related sciences We recently witnessed the attempt of syntheticbiologists to implement automation as we know it from electronic en-gineering in the design of orthogonal genetic circuits that would co-ordinate the actions of selected microbial chassis (Nielsen et al 2016)The genetic ldquogutsrdquo and pathway enzymes of the chassis can be designedand synthesized de novo or be tailored rapidly with surgical precisionusing new genome editing and protein engineering tools (Huang et al2016 Hutchison et al 2016 Nyerges et al 2016 Ran et al 2013Renata et al 2015) Although the circuit design tools still work pre-dominantly with simple logic gates the robustness and utility of theavailable minimal cells is limited and de novo-designed enzymes havelow activity we can assume that the efficiency reliability and timedemand of such exercises will be further improved by progress incomputer science and artificial intelligence development that couldcrack the complexity of life A purely technological approach wouldomit any unknowns from the DBTA cycle with help of reliable com-putational simulations thus expanding it to DSBTA (Design-Simulate-Build-Test-Analyze) and providing space for construction of whole-cellcatalysts perfectly tailored for specific biodegradation tasks

The challenges of both approaches applied to directed in situ bior-emediation encompass the development of test schemes that will ex-pose engineered organisms to mimicked environmental conditions in-cluding limiting carbon sources lack of oxygen or redox recycling masstransfer perturbations or interspecific predation (Meckenstock et al2015) A critical issue will be the choice and establishment of newchassis organisms better suited to field biotransformations than thecurrently available laboratory strains in terms of resistance to harshconditions including extreme pH temperature osmotic pressure orfluctuating concentrations of toxic chemicals (Adams 2016) Thesenew strains must simultaneously be reliable amenable to genetic ma-nipulation have mapped genomes and ideally metabolic models athand The in situ bioremediation quests will be complicated by thevarying nature of polluting compounds their mixtures and transfor-mation products all of which can be present at a single site (Sarigiannisand Hansen 2012) Future microbial degraders must therefore be de-signed to cope with several problem compounds in parallel and notonly in terms of degradation or mineralization The succesful conver-sion of dangerous contaminants into usable molecules that can be fur-ther valorized by whole-cell or cell-free biocatalysts is a desirablestarting point for the development of new technologies that extendstandard concepts of biodegradation and bioremediation (Dvorak et al2014a Wigginton et al 2012) Microbe-driven trash-to-treasure con-versions are known from established biomass valorization processesbut this concept can also be implemented in wastewater treatmentmetal and plastic recycling or in direct valorization of industrial by-product streams or captured greenhouse gases (Bornscheuer 2016Koutinas et al 2014 Nancharaiah et al 2016 Wierckx et al 2015)

Even so the major challenge to the entire field of engineered de-graders is not related to continued progress in the development of im-proved technologies which is inevitable but rather to the dissemina-tion and popularization of achievements already attained Publicenvironmental concerns and regulatory constraints have not just re-stricted field tests of genetically modified microbes but also affect thequality of fundamental research and by the same token overall pro-gress in the field The exercises described in this review will only have achance to become real enterprises if the general population is inspiredby biotechnology and accepts it as an inseparable part of our dailyroutine as it did for information technology The new systemic dis-ciplines that make life less puzzling as well as emerging do-it-yourselfmovement in biotechnology can undoubtedly contribute to a generalchange of attitude (de Lorenzo and Schmidt 2017) Such change isvital because our ability to minimize production of waste and pollutingchemicals remove existing waste or use it in bioprocesses to formvalue-added compounds will shape the fate of our society on a globalscale

Acknowledgements

PD is the holder of the Marie Sklodowska-Curie grant No 704410(FUTURE) The work in Authors Laboratory was funded by theCAMBIOS Project of the Spanish Ministry of Economy andCompetitiveness RTC-2014-1777-3 (MINECO) HELIOS Project of theSpanish Ministry of Economy and Competitiveness BIO 2015-66960-C3-2-R (MINECOFEDER) and the ARISYS (ERC-2012-ADG-322797)EmPowerPutida (EU-H2020-BIOTEC-2014-2015-6335536) andRaft4Biotech (720776) contracts of the European Union JD is sup-ported also by the Czech Ministry of Education (LQ1605 LO1214LM2015055) and Czech Grant Agency (GA16-06096S) The financialsupport of The Novo Nordisk Foundation to PIN is also gratefully ac-knowledged

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Adams BL 2016 The next generation of synthetic biology chassis moving syntheticbiology from the laboratory to the field ACS Synth Biol 5 1328ndash1330 httpdxdoiorg101021acssynbio6b00256

Adetutu EM Gundry TD Patil SS Golneshin A Adigun J Bhaskarla V Aleer SShahsavari E Ross E Ball AS 2015 Exploiting the intrinsic microbial de-gradative potential for field-based in situ dechlorination of trichloroethene con-taminated groundwater J Hazard Mater 300 48ndash57 httpdxdoiorg101016jjhazmat201506055

Alexander M 1999 Biodegradation and Bioremediation Academic PressAmde M Liu J-F Pang L 2015 Environmental application fate effects and con-

cerns of ionic liquids a review Environ Sci Technol 49 12611ndash12627 httpdxdoiorg101021acsest5b03123

An W Chin JW 2009 Synthesis of orthogonal transcription-translation networksProc Natl Acad Sci U S A 106 8477ndash8482 httpdxdoiorg101073pnas0900267106

Antonovsky N Gleizer S Noor E Zohar Y Herz E Barenholz U Zelcbuch LAmram S Wides A Tepper N Davidi D Bar-On Y Bareia T Wernick DGShani I Malitsky S Jona G Bar-Even A Milo R 2016 Sugar synthesis fromCO2 in Escherichia coli Cell 166 115ndash125 httpdxdoiorg101016jcell201605064

Aparicio T Jensen SI Nielsen AT de Lorenzo V Martiacutenez-Garciacutea E 2016 The Ssrprotein (T1E_1405) from Pseudomonas putida DOT-T1E enables oligonucleotide-basedrecombineering in platform strain P putida EM42 Biotechnol J 11 1309ndash1319httpdxdoiorg101002biot201600317

Arora PK Bae H 2014 Integration of bioinformatics to biodegradation Biol ProcedOnline 16 8 httpdxdoiorg1011861480-9222-16-8

Aukema KG Escalante DE Maltby MM Bera AK Aksan A Wackett LP 2016In silico identification of bioremediation potential carbamazepine and other re-calcitrant personal care products Environ Sci Technol httpdxdoiorg101021acsest6b04345

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Bailey JE 1991 Toward a science of metabolic engineering Science 252 1668ndash1675Barrangou R van Pijkeren J-P 2016 Exploiting CRISPR-Cas immune systems for

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Barth M Honak A Oeser T Wei R Belisaacuterio-Ferrari MR Then J Schmidt JZimmermann W 2016 A dual enzyme system composed of a polyester hydrolase

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and a carboxylesterase enhances the biocatalytic degradation of polyethylene ter-ephthalate films Biotechnol J 11 1082ndash1087 httpdxdoiorg101002biot201600008

Bastard K Smith AAT Vergne-Vaxelaire C Perret A Zaparucha A De Melo-Minardi R Mariage A Boutard M Debard A Lechaplais C Pelle C PellouinV Perchat N Petit J-L Kreimeyer A Medigue C Weissenbach J ArtiguenaveF De Berardinis V Vallenet D Salanoubat M 2014 Revealing the hiddenfunctional diversity of an enzyme family Nat Chem Biol 10 42ndash49 httpdxdoiorg101038nchembio1387

Batth TS Keasling JD Petzold CJ 2012 Targeted proteomics for metabolicpathway optimization Methods Mol Biol 944 237ndash249 (Clifton NJ) httpdxdoiorg101007978-1-62703-122-6_17

Belda E van Heck RGA Joseacute Lopez-Sanchez M Cruveiller S Barbe V Fraser CKlenk H-P Petersen J Morgat A Nikel PI Vallenet D Rouy Z Sekowska AMartins Dos Santos VAP de Lorenzo V Danchin A Meacutedigue C 2016 Therevisited genome of Pseudomonas putida KT2440 enlightens its value as a robustmetabolic chassis Environ Microbiol 18 3403ndash3424 httpdxdoiorg1011111462-292013230

Bendl J Stourac J Sebestova E Vavra O Musil M Brezovsky J Damborsky J2016 HotSpot Wizard 20 automated design of site-specific mutations and smartlibraries in protein engineering Nucleic Acids Res 44 W479ndash487 httpdxdoiorg101093nargkw416

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Benfenati E 2007 Predicting toxicity through computers a changing world ChemCent J 1 32 httpdxdoiorg1011861752-153X-1-32

Bereza-Malcolm LT Mann G Franks AE 2015 Environmental sensing of heavymetals through whole cell microbial biosensors a synthetic biology approach ACSSynth Biol 4 535ndash546 httpdxdoiorg101021sb500286r

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Bornscheuer UT 2016 Microbiology Feeding on plastic Science 351 1154ndash1155httpdxdoiorg101126scienceaaf2853

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Boyle PM Silver PA 2012 Parts plus pipes synthetic biology approaches to meta-bolic engineering Metab Eng 14 223ndash232 httpdxdoiorg101016jymben201110003

Brakmann S 2001 Discovery of superior enzymes by directed molecular evolutionChembiochem Eur J Chem Biol 2 865ndash871

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Buryska T Daniel L Kunka A Brezovsky J Damborsky J Prokop Z 2016Discovery of novel Haloalkane dehalogenase inhibitors Appl Environ Microbiol 821958ndash1965 httpdxdoiorg101128AEM03916-15

Buumlscher JM Czernik D Ewald JC Sauer U Zamboni N 2009 Cross-platformcomparison of methods for quantitative metabolomics of primary metabolism AnalChem 81 2135ndash2143 httpdxdoiorg101021ac8022857

Carbonell P Parutto P Baudier C Junot C Faulon J-L 2014 Retropath auto-mated pipeline for embedded metabolic circuits ACS Synth Biol 3 565ndash577 httpdxdoiorg101021sb4001273

Cardinale S Tueros FG Sommer MOA 2017 Genetic-metabolic coupling for tar-geted metabolic engineering Cell Rep 20 1029ndash1037 httpdxdoiorg101016jcelrep201707015

Cases I de Lorenzo V 2005 Genetically modified organisms for the environmentstories of success and failure and what we have learned from them Int Microbiol 8213ndash222

Casini A Storch M Baldwin GS Ellis T 2015 Bricks and blueprints methods andstandards for DNA assembly Nat Rev Mol Cell Biol 16 568ndash576 httpdxdoiorg101038nrm4014

Caspi R Billington R Ferrer L Foerster H Fulcher CA Keseler IM Kothari AKrummenacker M Latendresse M Mueller LA Ong Q Paley S Subhraveti PWeaver DS Karp PD 2016 The MetaCyc database of metabolic pathways andenzymes and the BioCyc collection of pathwaygenome databases Nucleic Acids Res44 D471ndash480 httpdxdoiorg101093nargkv1164

Chakraborty R Wu CH Hazen TC 2012 Systems biology approach to bior-emediation Curr Opin Biotechnol 23 483ndash490 httpdxdoiorg101016jcopbio201201015

Chang A Schomburg I Placzek S Jeske L Ulbrich M Xiao M Sensen CWSchomburg D 2015 BRENDA in 2015 exciting developments in its 25th year ofexistence Nucleic Acids Res 43 D439ndash446 httpdxdoiorg101093nargku1068

Chavarriacutea M Nikel PI Peacuterez-Pantoja D de Lorenzo V 2013 The Entner-Doudoroffpathway empowers Pseudomonas putida KT2440 with a high tolerance to oxidative

stress Environ Microbiol 15 1772ndash1785 httpdxdoiorg1011111462-292012069

Chen L Lu J Zhang J Feng K-R Zheng M-Y Cai Y-D 2013 Predicting chemicaltoxicity effects based on chemical-chemical interactions PLoS One 8 e56517 httpdxdoiorg101371journalpone0056517

Chen Y Kim JK Hirning AJ Josić K Bennett MR 2015 Synthetic biologyEmergent genetic oscillations in a synthetic microbial consortium Science 349986ndash989 httpdxdoiorg101126scienceaaa3794

Chen B Lim S Kannan A Alford SC Sunden F Herschlag D Dimov IK BaerTM Cochran JR 2016 High-throughput analysis and protein engineering usingmicrocapillary arrays Nat Chem Biol 12 76ndash81 httpdxdoiorg101038nchembio1978

Choi S-L Rha E Lee SJ Kim H Kwon K Jeong Y-S Rhee YH Song JJ KimH-S Lee S-G 2014 Toward a generalized and high-throughput enzyme screeningsystem based on artificial genetic circuits ACS Synth Biol 3 163ndash171 httpdxdoiorg101021sb400112u

Chowdhury A Zomorrodi AR Maranas CD 2014 k-OptForce integrating kineticswith flux balance analysis for strain design PLoS Comput Biol 10 e1003487 httpdxdoiorg101371journalpcbi1003487

Chowdhury A Khodayari A Maranas CD 2015 Improving prediction fidelity ofcellular metabolism with kinetic descriptions Curr Opin Biotechnol 36 57ndash64httpdxdoiorg101016jcopbio201508011

Costa RS Machado D Rocha I Ferreira EC 2011 Critical perspective on theconsequences of the limited availability of kinetic data in metabolic dynamic mod-elling IET Syst Biol 5 157ndash163 httpdxdoiorg101049iet-syb20090058

Dai Z Nielsen J 2015 Advancing metabolic engineering through systems biology ofindustrial microorganisms Curr Opin Biotechnol 36 8ndash15 httpdxdoiorg101016jcopbio201508006

Damborsky J Brezovsky J 2014 Computational tools for designing and engineeringenzymes Curr Opin Chem Biol 19 8ndash16 httpdxdoiorg101016jcbpa201312003

de la Pentildea Mattozzi M Tehara SK Hong T Keasling JD 2006 Mineralization ofparaoxon and its use as a sole C and P source by a rationally designed catabolicpathway in Pseudomonas putida Appl Environ Microbiol 72 6699ndash6706 httpdxdoiorg101128AEM00907-06

de Lorenzo V 2008 Systems biology approaches to bioremediation Curr OpinBiotechnol 19 579ndash589 httpdxdoiorg101016jcopbio200810004

de Lorenzo V 2009 Recombinant bacteria for environmental release what went wrongand what we have learnt from it Clin Microbiol Infect 15 (Suppl 1) 63ndash65 httpdxdoiorg101111j1469-0691200802683x

de Lorenzo V 2017 Seven microbial bio-processes to help the planet EnvironMicrobiol httponlinelibrarywileycomdoi1011111751-791512816full

de Lorenzo V Danchin A 2008 Synthetic biology discovering new worlds and newwords EMBO Rep 9 822ndash827 httpdxdoiorg101038embor2008159

de Lorenzo V Schmidt M 2017 The do-it-yourself movement as a source of innovationin biotechnology - and much more Microb Biotechnol 10 517ndash519 httpdxdoiorg1011111751-791512715

de Lorenzo V Marliegravere P Soleacute R 2016 Bioremediation at a global scale from the testtube to planet Earth Microb Biotechnol 9 618ndash625 httpdxdoiorg1011111751-791512399

Dehghanifard E Jonidi Jafari A Rezaei Kalantary R Mahvi AH Faramarzi MAEsrafili A 2013 Biodegradation of 24-dinitrophenol with laccase immobilized onnano-porous silica beads Iranian J Environ Health Sci Eng 10 httpdxdoiorg1011861735-2746-10-25

Deleacutepine B Libis V Carbonell P Faulon J-L 2016 SensiPath computer-aided de-sign of sensing-enabling metabolic pathways Nucleic Acids Res 44 W226ndash231httpdxdoiorg101093nargkw305

Devers M Rouard N Martin-Laurent F 2008 Fitness drift of an atrazine-degradingpopulation under atrazine selection pressure Environ Microbiol 10 676ndash684httpdxdoiorg101111j1462-2920200701490x

Dombrowski N Donaho JA Gutierrez T Seitz KW Teske AP Baker BJ 2016Reconstructing metabolic pathways of hydrocarbon-degrading bacteria from theDeepwater Horizon oil spill Nat Microbiol 1 16057 httpdxdoiorg101038nmicrobiol201657

Doumlrr M Fibinger MPC Last D Schmidt S Santos-Aberturas J Boumlttcher DHummel A Vickers C Voss M Bornscheuer UT 2016 Fully automatized high-throughput enzyme library screening using a robotic platform Biotechnol Bioeng113 1421ndash1432 httpdxdoiorg101002bit25925

Dvorak P Bidmanova S Damborsky J Prokop Z 2014a Immobilized syntheticpathway for biodegradation of toxic recalcitrant pollutant 123-trichloropropaneEnviron Sci Technol 48 6859ndash6866 httpdxdoiorg101021es500396r

Dvorak P Kurumbang NP Bendl J Brezovsky J Prokop Z Damborsky J 2014bMaximizing the efficiency of multienzyme process by stoichiometry optimizationChembiochem Eur J Chem Biol 15 1891ndash1895 httpdxdoiorg101002cbic201402265

Dvorak P Chrast L Nikel PI Fedr R Soucek K Sedlackova M Chaloupkova Rde Lorenzo V Prokop Z Damborsky J 2015 Exacerbation of substrate toxicity byIPTG in Escherichia coli BL21(DE3) carrying a synthetic metabolic pathway MicrobCell Factories 14 201 httpdxdoiorg101186s12934-015-0393-3

Ebenau-Jehle C Mergelsberg M Fischer S Bruumlls T Jehmlich N von Bergen MBoll M 2017 An unusual strategy for the anoxic biodegradation of phthalate ISMEJ 11 224ndash236 httpdxdoiorg101038ismej201691

Erb TJ Zarzycki J 2016 Biochemical and synthetic biology approaches to improvephotosynthetic CO2-fixation Curr Opin Chem Biol 34 72ndash79 httpdxdoiorg101016jcbpa201606026

Eriksson L Jaworska J Worth AP Cronin MTD McDowell RM Gramatica P

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2003 Methods for reliability and uncertainty assessment and for applicability eva-luations of classification- and regression-based QSARs Environ Health Perspect 1111361ndash1375

Escalante AE Rebolleda-Goacutemez M Beniacutetez M Travisano M 2015 Ecological per-spectives on synthetic biology insights from microbial population biology FrontMicrobiol 6 143 httpdxdoiorg103389fmicb201500143

Fernaacutendez-Aacutelvaro E Snajdrova R Jochens H Davids T Boumlttcher D BornscheuerUT 2011 A combination of in vivo selection and cell sorting for the identification ofenantioselective biocatalysts Angew Chem Int Ed Eng 50 8584ndash8587 httpdxdoiorg101002anie201102360

Fibinger MPC Davids T Boumlttcher D Bornscheuer UT 2015 A selection assay forhaloalkane dehalogenase activity based on toxic substrates Appl MicrobiolBiotechnol 99 8955ndash8962 httpdxdoiorg101007s00253-015-6686-y

Finley SD Broadbelt LJ Hatzimanikatis V 2009 Computational framework forpredictive biodegradation Biotechnol Bioeng 104 1086ndash1097 httpdxdoiorg101002bit22489

Finley SD Broadbelt LJ Hatzimanikatis V 2010 In silico feasibility of novel bio-degradation pathways for 124-trichlorobenzene BMC Syst Biol 4 7 httpdxdoiorg1011861752-0509-4-7

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Fuchs G 2011 Alternative pathways of carbon dioxide fixation insights into the earlyevolution of life Annu Rev Microbiol 65 631ndash658 httpdxdoiorg101146annurev-micro-090110-102801

Gao J Ellis LBM Wackett LP 2010 The University of Minnesota BiocatalysisBiodegradation Database improving public access Nucleic Acids Res 38 D488ndash491httpdxdoiorg101093nargkp771

Gao F Ding H Feng Z Liu D Zhao Y 2014 Functional display of triphenylmethanereductase for dye removal on the surface of Escherichia coli using N-terminal domainof ice nucleation protein Bioresour Technol 169 181ndash187 httpdxdoiorg101016jbiortech201406093

Geueke B Garg N Ghosh S Fleischmann T Holliger C Lal R Kohler H-PE2013 Metabolomics of hexachlorocyclohexane (HCH) transformation ratio of LinAto LinB determines metabolic fate of HCH isomers Environ Microbiol 151040ndash1049 httpdxdoiorg1011111462-292012009

Gilbert ES Walker AW Keasling JD 2003 A constructed microbial consortium forbiodegradation of the organophosphorus insecticide parathion Appl MicrobiolBiotechnol 61 77ndash81 httpdxdoiorg101007s00253-002-1203-5

Glass JI Assad-Garcia N Alperovich N Yooseph S Lewis MR Maruf MHutchison CA Smith HO Venter JC 2006 Essential genes of a minimal bac-terium Proc Natl Acad Sci U S A 103 425ndash430 httpdxdoiorg101073pnas0510013103

Glick BR 1995 Metabolic load and heterologous gene expression Biotechnol Adv 13247ndash261

Guazzaroni M-E Herbst F-A Lores I Tamames J Pelaacuteez AI Loacutepez-Corteacutes NAlcaide M Del Pozo MV Vieites JM von Bergen M Gallego JLR BargielaR Loacutepez-Loacutepez A Pieper DH Rosselloacute-Moacutera R Saacutenchez J Seifert J FerrerM 2013 Metaproteogenomic insights beyond bacterial response to naphthaleneexposure and bio-stimulation ISME J 7 122ndash136 httpdxdoiorg101038ismej201282

Gredell JA Frei CS Cirino PC 2012 Protein and RNA engineering to customizemicrobial molecular reporting Biotechnol J 7 477ndash499 httponlinelibrarywileycomdoi101002biot201100266full

Gutierrez T Singleton DR Berry D Yang T Aitken MD Teske A 2013Hydrocarbon-degrading bacteria enriched by the Deepwater Horizon oil spill iden-tified by cultivation and DNA-SIP ISME J 7 2091ndash2104 httpdxdoiorg101038ismej201398

Hadadi N Hafner J Shajkofci A Zisaki A Hatzimanikatis V 2016 ATLAS ofbiochemistry a repository of all possible biochemical reactions for synthetic biologyand metabolic engineering studies ACS Synth Biol 5 1155ndash1166 httpdxdoiorg101021acssynbio6b00054

Haro MA de Lorenzo V 2001 Metabolic engineering of bacteria for environmentalapplications construction of Pseudomonas strains for biodegradation of 2-chlor-otoluene J Biotechnol 85 103ndash113

Hatzimanikatis V Li C Ionita JA Henry CS Jankowski MD Broadbelt LJ2005 Exploring the diversity of complex metabolic networks Bioinforma Oxf Engl21 1603ndash1609 httpdxdoiorg101093bioinformaticsbti213

He W Yuan S Zhong W-H Siddikee MA Dai C-C 2016 Application of geneti-cally engineered microbial whole-cell biosensors for combined chemosensing ApplMicrobiol Biotechnol 100 1109ndash1119 httpdxdoiorg101007s00253-015-7160-6

Hennig S Roumldel G Ostermann K 2015 Artificial cell-cell communication as anemerging tool in synthetic biology applications J Biol Eng 9 13 httpdxdoiorg101186s13036-015-0011-2

Hicks N Vik U Taylor P Ladoukakis E Park J Kolisis F Jakobsen KS 2017Using prokaryotes for carbon capture storage Trends Biotechnol 35 22ndash32 httpdxdoiorg101016jtibtech201606011

Hodgman CE Jewett MC 2012 Cell-free synthetic biology thinking outside the cellMetab Eng 14 261ndash269 httpdxdoiorg101016jymben201109002

Huang P-S Boyken SE Baker D 2016 The coming of age of de novo protein designNature 537 320ndash327 httpdxdoiorg101038nature19946

Hutchison CA Chuang R-Y Noskov VN Assad-Garcia N Deerinck TJ EllismanMH Gill J Kannan K Karas BJ Ma L Pelletier JF Qi Z-Q Richter RAStrychalski EA Sun L Suzuki Y Tsvetanova B Wise KS Smith HO GlassJI Merryman C Gibson DG Venter JC 2016 Design and synthesis of aminimal bacterial genome Science 351 aad6253 httpdxdoiorg101126

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Total degradation of pentachloroethane by an engineered Alcaligenes strain expres-sing a modified camphor monooxygenase and a hybrid dioxygenase BiosciBiotechnol Biochem 68 1353ndash1356 httpdxdoiorg101271bbb681353

Izallalen M Mahadevan R Burgard A Postier B Didonato R Sun J SchillingCH Lovley DR 2008 Geobacter sulfurreducens strain engineered for increasedrates of respiration Metab Eng 10 267ndash275 httpdxdoiorg101016jymben200806005

Janssen DB Dinkla IJT Poelarends GJ Terpstra P 2005 Bacterial degradation ofxenobiotic compounds evolution and distribution of novel enzyme activitiesEnviron Microbiol 7 1868ndash1882 httpdxdoiorg101111j1462-2920200500966x

Kanehisa M Goto S Sato Y Kawashima M Furumichi M Tanabe M 2014 Datainformation knowledge and principle back to metabolism in KEGG Nucleic AcidsRes 42 D199ndash205 httpdxdoiorg101093nargkt1076

Karig DK 2017 Cell-free synthetic biology for environmental sensing and remediationCurr Opin Biotechnol 45 69ndash75 httpdxdoiorg101016jcopbio201701010

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Khersonsky O Tawfik DS 2010 Enzyme promiscuity a mechanistic and evolutionaryperspective Annu Rev Biochem 79 471ndash505 httpdxdoiorg101146annurev-biochem-030409-143718

Kim J Copley SD 2012 Inhibitory cross-talk upon introduction of a new metabolicpathway into an existing metabolic network Proc Natl Acad Sci U S A 109E2856ndash2864 httpdxdoiorg101073pnas1208509109

Kim S Baek S-H Lee K Hahn J-S 2013a Cellulosic ethanol production using ayeast consortium displaying a minicellulosome and β-glucosidase Microb CellFactories 12 14 httpdxdoiorg1011861475-2859-12-14

Kim J Oliveros JC Nikel PI de Lorenzo V Silva-Rocha R 2013b Transcriptomicfingerprinting of Pseudomonas putida under alternative physiological regimesEnviron Microbiol Rep 5 883ndash891 httpdxdoiorg1011111758-222912090

Kim S Thiessen PA Bolton EE Chen J Fu G Gindulyte A Han L He J He SShoemaker BA Wang J Yu B Zhang J Bryant SH 2016 PubChem substanceand compound databases Nucleic Acids Res 44 D1202ndash1213 httpdxdoiorg101093nargkv951

King ZA Lloyd CJ Feist AM Palsson BO 2015 Next-generation genome-scalemodels for metabolic engineering Curr Opin Biotechnol 35 23ndash29 httpdxdoiorg101016jcopbio201412016

Kleinstiver BP Pattanayak V Prew MS Tsai SQ Nguyen NT Zheng Z JoungJK 2016 High-fidelity CRISPR-Cas9 nucleases with no detectable genome-wide off-target effects Nature 529 490ndash495 httpdxdoiorg101038nature16526

Kosuri S Church GM 2014 Large-scale de novo DNA synthesis technologies andapplications Nat Methods 11 499ndash507 httpdxdoiorg101038nmeth2918

Koutinas AA Vlysidis A Pleissner D Kopsahelis N Lopez Garcia I Kookos IKPapanikolaou S Kwan TH Lin CSK 2014 Valorization of industrial waste andby-product streams via fermentation for the production of chemicals and biopoly-mers Chem Soc Rev 43 2587ndash2627 httpdxdoiorg101039c3cs60293a

Krewski D Andersen ME Mantus E Zeise L 2009 Toxicity testing in the 21stcentury implications for human health risk assessment Risk Anal 29 474ndash479httpdxdoiorg101111j1539-6924200801150x

Kube M Chernikova TN Al-Ramahi Y Beloqui A Lopez-Cortez N Guazzaroni M-E Heipieper HJ Klages S Kotsyurbenko OR Langer I Nechitaylo TYLuumlnsdorf H Fernaacutendez M Juaacuterez S Ciordia S Singer A Kagan O Egorova OPetit PA Stogios P Kim Y Tchigvintsev A Flick R Denaro R Genovese MAlbar JP Reva ON Martiacutenez-Gomariz M Tran H Ferrer M Savchenko AYakunin AF Yakimov MM Golyshina OV Reinhardt R Golyshin PN 2013Genome sequence and functional genomic analysis of the oil-degrading bacteriumOleispira antarctica Nat Commun 4 2156 httpdxdoiorg101038ncomms3156

Kuipers RK Joosten H-J van Berkel WJH Leferink NGH Rooijen E IttmannE van Zimmeren F Jochens H Bornscheuer U Vriend G dos Santos VAPMSchaap PJ 2010 3DM systematic analysis of heterogeneous superfamily data todiscover protein functionalities Proteins 78 2101ndash2113 httpdxdoiorg101002prot22725

Kurumbang NP Dvorak P Bendl J Brezovsky J Prokop Z Damborsky J 2014Computer-assisted engineering of the synthetic pathway for biodegradation of a toxicpersistent pollutant ACS Synth Biol 3 172ndash181 httpdxdoiorg101021sb400147n

Latino DARS Wicker J Guumltlein M Schmid E Kramer S Fenner K 2017 Eawag-Soil in enviPath a new resource for exploring regulatory pesticide soil biodegrada-tion pathways and half-life data Environ Sci Processes Impacts 19 449ndash464httpdxdoiorg101039c6em00697c

Lee J Cao L Ow SY Barrios-Llerena ME Chen W Wood TK Wright PC 2006Proteome changes after metabolic engineering to enhance aerobic mineralization ofcis‑12-dichloroethylene J Proteome Res 5 1388ndash1397 httpdxdoiorg101021pr060008t

Lee JW Na D Park JM Lee J Choi S Lee SY 2012 Systems metabolic en-gineering of microorganisms for natural and non-natural chemicals Nat Chem Biol8 536ndash546 httpdxdoiorg101038nchembio970

Lehrbach PR Zeyer J Reineke W Knackmuss HJ Timmis KN 1984 Enzymerecruitment in vitro use of cloned genes to extend the range of haloaromatics de-graded by Pseudomonas sp strain B13 J Bacteriol 158 1025ndash1032

Li G-Q Ma T Li S-S Li H Liang F-L Liu R-L 2007 Improvement of di-benzothiophene desulfurization activity by removing the gene overlap in the dsz

P Dvořaacutek et al Biotechnology Advances 35 (2017) 845ndash866

863

operon Biosci Biotechnol Biochem 71 849ndash854 httpdxdoiorg101271bbb60189

Li Z Yoshida N Wang A Nan J Liang B Zhang C Zhang D Suzuki D Zhou XXiao Z Katayama A 2015 Anaerobic mineralization of 246-tribromophenol toCO2 by a synthetic microbial community comprising Clostridium Dehalobacter andDesulfatiglans Bioresour Technol 176 225ndash232 httpdxdoiorg101016jbiortech201410097

Libis V Deleacutepine B Faulon J-L 2016 Expanding biosensing abilities through com-puter-aided design of metabolic pathways ACS Synth Biol 5 1076ndash1085 httpdxdoiorg101021acssynbio5b00225

Liss M Daubert D Brunner K Kliche K Hammes U Leiherer A Wagner R 2012Embedding permanent watermarks in synthetic genes PLoS One 7 e42465 httpdxdoiorg101371journalpone0042465

Litchfield C 2005 Thirty years and counting bioremediation in its prime Bioscience55 273ndash279 httpdxdoiorg1016410006-3568(2005)055[0273TYACBI]20CO2

Liu X Germaine KJ Ryan D Dowling DN 2010 Genetically modifiedPseudomonas biosensing biodegraders to detect PCB and chlorobenzoate bioavail-ability and biodegradation in contaminated soils Bioeng Bugs 1 198ndash206 httpdxdoiorg104161bbug1312443

Liu J Tan L Wang J Wang Z Ni H Li L 2016 Complete biodegradation ofchlorpyrifos by engineered Pseudomonas putida cells expressing surface-immobilizedlaccases Chemosphere 157 200ndash207 httpdxdoiorg101016jchemosphere201605031

Loeschcke A Markert A Wilhelm S Wirtz A Rosenau F Jaeger K-E Drepper T2013 TREX a universal tool for the transfer and expression of biosynthetic pathwaysin bacteria ACS Synth Biol 2 22ndash33 httpdxdoiorg101021sb3000657

Long MR Ong WK Reed JL 2015 Computational methods in metabolic en-gineering for strain design Curr Opin Biotechnol 34 135ndash141 httpdxdoiorg101016jcopbio201412019

Lorenzo V Loza-Tavera H 2011 Microbial bioremediation of chemical pollutants howbacteria cope with multi-stress environmental scenarios In Storz G Hengge R(Eds) Bacterial Stress Responses Second edition ASM Press Washington DC pp481ndash492 httpdxdoiorg1011289781555816841ch30

Lovley DR Phillips EJP Gorby YA Landa ER 1991 Microbial reduction of ur-anium Nature 350 413ndash416 httpdxdoiorg101038350413a0

Lykidis A Peacuterez-Pantoja D Ledger T Mavromatis K Anderson IJ Ivanova NNHooper SD Lapidus A Lucas S Gonzaacutelez B Kyrpides NC 2010 The completemultipartite genome sequence of Cupriavidus necator JMP134 a versatile pollutantdegrader PLoS One 5 e9729 httpdxdoiorg101371journalpone0009729

Marathe NP Pal C Gaikwad SS Jonsson V Kristiansson E Larsson DGJ 2017Untreated urban waste contaminates Indian river sediments with resistance genes tolast resort antibiotics Water Res 124 388ndash397 httpdxdoiorg101016jwatres201707060

Martiacutenez I Mohamed ME-S Rozas D Garciacutea JL Diacuteaz E 2016 Engineering syn-thetic bacterial consortia for enhanced desulfurization and revalorization of oil sulfurcompounds Metab Eng 35 46ndash54 httpdxdoiorg101016jymben201601005

Martiacutenez-Garciacutea E de Lorenzo V 2012 Transposon-based and plasmid-based genetictools for editing genomes of gram-negative bacteria Methods Mol Biol 813267ndash283 (Clifton NJ) httpdxdoiorg101007978-1-61779-412-4_16

Martiacutenez-Garciacutea E de Lorenzo V 2016 The quest for the minimal bacterial genomeCurr Opin Biotechnol 42 216ndash224 httpdxdoiorg101016jcopbio201609001

Martiacutenez-Garciacutea E Aparicio T de Lorenzo V Nikel PI 2014a New transposon toolstailored for metabolic engineering of gram-negative microbial cell factories FrontBioeng Biotechnol 2 46 httpdxdoiorg103389fbioe201400046

Martiacutenez-Garciacutea E Nikel PI Aparicio T de Lorenzo V 2014b Pseudomonas 20genetic upgrading of P putida KT2440 as an enhanced host for heterologous geneexpression Microb Cell Factories 13 159 httpdxdoiorg101186s12934-014-0159-3

Martiacutenez-Garciacutea E Aparicio T Gontildei-Moreno A Fraile S de Lorenzo V 2015 SEVA20 an update of the Standard European Vector Architecture for de-re-constructionof bacterial functionalities Nucleic Acids Res 43 D1183ndash1189 httpdxdoiorg101093nargku1114

Meckenstock RU Elsner M Griebler C Lueders T Stumpp C Aamand J AgathosSN Albrechtsen H-J Bastiaens L Bjerg PL Boon N Dejonghe W HuangWE Schmidt SI Smolders E Soslashrensen SR Springael D van Breukelen BM2015 Biodegradation updating the concepts of control for microbial cleanup incontaminated aquifers Environ Sci Technol 49 7073ndash7081 httpdxdoiorg101021acsest5b00715

Medema MH van Raaphorst R Takano E Breitling R 2012 Computational tools forthe synthetic design of biochemical pathways Nat Rev Microbiol 10 191ndash202httpdxdoiorg101038nrmicro2717

Mendes P Hoops S Sahle S Gauges R Dada J Kummer U 2009 Computationalmodeling of biochemical networks using COPASI Methods Mol Biol 500 17ndash59(Clifton NJ) httpdxdoiorg101007978-1-59745-525-1_2

Minty JJ Singer ME Scholz SA Bae C-H Ahn J-H Foster CE Liao JC LinXN 2013 Design and characterization of synthetic fungal-bacterial consortia fordirect production of isobutanol from cellulosic biomass Proc Natl Acad Sci U S A110 14592ndash14597 httpdxdoiorg101073pnas1218447110

Moraiumls S Shterzer N Lamed R Bayer EA Mizrahi I 2014 A combined cell-con-sortium approach for lignocellulose degradation by specialized Lactobacillus plan-tarum cells Biotechnol Biofuels 7 112 httpdxdoiorg1011861754-6834-7-112

Morgat A Axelsen KB Lombardot T Alcaacutentara R Aimo L Zerara M Niknejad A

Belda E Hyka-Nouspikel N Coudert E Redaschi N Bougueleret L SteinbeckC Xenarios I Bridge A 2015 Updates in Rheamdasha manually curated resource ofbiochemical reactions Nucleic Acids Res 43 D459ndash464 httpdxdoiorg101093nargku961

Mulbry W Ahrens E Karns J 1998 Use of a field-scale biofilter for the degradation ofthe organophosphate insecticide coumaphos in cattle dip wastes Pestic Sci 52268ndash274 httpdxdoiorg101002(SICI)1096-9063(199803)523lt268AID-PS719gt30CO2-2

Muschiol J Peters C Oberleitner N Mihovilovic MD Bornscheuer UT Rudroff F2015 Cascade catalysismdashstrategies and challenges en route to preparative syntheticbiology Chem Commun (Camb) 51 5798ndash5811 httpdxdoiorg101039c4cc08752f

Mutlu BR Yeom S Wackett L Aksan A 2015 Modelling and optimization of abioremediation system utilizing silica gel encapsulated whole-cell biocatalyst ChemEng J 259 574ndash580 httpdxdoiorg101016jcej201407130

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Nancharaiah YV Mohan SV Lens PNL 2016 Biological and bioelectrochemicalrecovery of critical and scarce metals Trends Biotechnol 34 137ndash155 httpdxdoiorg101016jtibtech201511003

Nelson KE Weinel C Paulsen IT Dodson RJ Hilbert H Martins dos SantosVAP Fouts DE Gill SR Pop M Holmes M Brinkac L Beanan M DeBoyRT Daugherty S Kolonay J Madupu R Nelson W White O Peterson JKhouri H Hance I Chris Lee P Holtzapple E Scanlan D Tran K Moazzez AUtterback T Rizzo M Lee K Kosack D Moestl D Wedler H Lauber JStjepandic D Hoheisel J Straetz M Heim S Kiewitz C Eisen JA TimmisKN Duumlsterhoumlft A Tuumlmmler B Fraser CM 2002 Complete genome sequenceand comparative analysis of the metabolically versatile Pseudomonas putida KT2440Environ Microbiol 4 799ndash808

Nicolaou SA Gaida SM Papoutsakis ET 2010 A comparative view of metaboliteand substrate stress and tolerance in microbial bioprocessing from biofuels andchemicals to biocatalysis and bioremediation Metab Eng 12 307ndash331 httpdxdoiorg101016jymben201003004

Nielsen J Fussenegger M Keasling J Lee SY Liao JC Prather K Palsson B2014 Engineering synergy in biotechnology Nat Chem Biol 10 319ndash322 httpdxdoiorg101038nchembio1519

Nielsen AAK Der BS Shin J Vaidyanathan P Paralanov V Strychalski EARoss D Densmore D Voigt CA 2016 Genetic circuit design automation Science352 aac7341 httpdxdoiorg101126scienceaac7341

Nikel PI de Lorenzo V 2013 Engineering an anaerobic metabolic regime inPseudomonas putida KT2440 for the anoxic biodegradation of 13-dichloroprop-1-eneMetab Eng 15 98ndash112 httpdxdoiorg101016jymben201209006

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Nikel PI Martiacutenez-Garciacutea E de Lorenzo V 2014 Biotechnological domestication ofpseudomonads using synthetic biology Nat Rev Microbiol 12 368ndash379 httpdxdoiorg101038nrmicro3253

Nikel PI Chavarriacutea M Fuhrer T Sauer U de Lorenzo V 2015 Pseudomonas putidaKT2440 strain metabolizes glucose through a cycle formed by enzymes of the Entner-Doudoroff Embden-Meyerhof-Parnas and pentose phosphate pathways J BiolChem 290 25920ndash25932 httpdxdoiorg101074jbcM115687749

Nikel PI Chavarriacutea M Danchin A de Lorenzo V 2016a From dirt to industrialapplications Pseudomonas putida as a synthetic biology chassis for hosting harshbiochemical reactions Curr Opin Chem Biol 34 20ndash29 httpdxdoiorg101016jcbpa201605011

Nikel PI Peacuterez-Pantoja D de Lorenzo V 2016b Pyridine nucleotide transhy-drogenases enable redox balance of Pseudomonas putida during biodegradation ofaromatic compounds Environ Microbiol 18 3565ndash3582 httpdxdoiorg1011111462-292013434

Nyerges Aacute Csoumlrgő B Nagy I Baacutelint B Bihari P Laacutezaacuter V Apjok G UmenhofferK Bogos B Poacutesfai G Paacutel C 2016 A highly precise and portable genome en-gineering method allows comparison of mutational effects across bacterial speciesProc Natl Acad Sci U S A 113 2502ndash2507 httpdxdoiorg101073pnas1520040113

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Oide S Gunji W Moteki Y Yamamoto S Suda M Jojima T Yukawa H Inui M2015 Thermal and solvent stress cross-tolerance conferred to Corynebacterium glu-tamicum by adaptive laboratory evolution Appl Environ Microbiol 81 2284ndash2298httpdxdoiorg101128AEM03973-14

Oosterkamp MJ Veuskens T Talarico Saia F Weelink SAB Goodwin LADaligault HE Bruce DC Detter JC Tapia R Han CS Land ML Hauser LJLangenhoff AAM Gerritse J van Berkel WJH Pieper DH Junca H SmidtH Schraa G Davids M Schaap PJ Plugge CM Stams AJM 2013 Genomeanalysis and physiological comparison of Alicycliphilus denitrificans strains BC andK601(T) PLoS One 8 e66971 httpdxdoiorg101371journalpone0066971

Paddon CJ Keasling JD 2014 Semi-synthetic artemisinin a model for the use ofsynthetic biology in pharmaceutical development Nat Rev Microbiol 12 355ndash367httpdxdoiorg101038nrmicro3240

Parales RE Ditty JL 2005 Laboratory evolution of catabolic enzymes and pathwaysCurr Opin Biotechnol 16 315ndash325 httpdxdoiorg101016jcopbio200503008

P Dvořaacutek et al Biotechnology Advances 35 (2017) 845ndash866

864

Pascual J Udaondo Z Molina L Segura A Esteve-Nuacutentildeez A Caballero A DuqueE Ramos JL van Dillewijn P 2015 Draft genome sequence of Pseudomonas putidaJLR11 a facultative anaerobic 246-trinitrotoluene biotransforming bacteriumGenome Announc 3 httpdxdoiorg101128genomeA00904-15

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Ravikumar S Baylon MG Park SJ Choi J-I 2017 Engineered microbial biosensorsbased on bacterial two-component systems as synthetic biotechnology platforms inbioremediation and biorefinery Microb Cell Factories 16 62 httpdxdoiorg101186s12934-017-0675-z

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Santos CNS Yoshikuni Y 2014 Engineering complex biological systems in bacteriathrough recombinase-assisted genome engineering Nat Protoc 9 1320ndash1336

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Schmidt M de Lorenzo V 2016 Synthetic bugs on the loose containment options fordeeply engineered (micro)organisms Curr Opin Biotechnol 38 90ndash96 httpdxdoiorg101016jcopbio201601006

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Scism RA Bachmann BO 2010 Five-component cascade synthesis of nucleotideanalogues in an engineered self-immobilized enzyme aggregate Chembiochem EurJ Chem Biol 11 67ndash70 httpdxdoiorg101002cbic200900620

Scott SR Hasty J 2016 Quorum sensing communication modules for microbialconsortia ACS Synth Biol 5 969ndash977 httpdxdoiorg101021acssynbio5b00286

Shapir N Mongodin EF Sadowsky MJ Daugherty SC Nelson KE Wackett LP2007 Evolution of catabolic pathways genomic insights into microbial s-triazinemetabolism J Bacteriol 189 674ndash682 httpdxdoiorg101128JB01257-06

Sheldon RA 2011 Characteristic features and biotechnological applications of cross-linked enzyme aggregates (CLEAs) Appl Microbiol Biotechnol 92 467ndash477 httpdxdoiorg101007s00253-011-3554-2

Shi L Dong H Reguera G Beyenal H Lu A Liu J Yu H-Q Fredrickson JK2016 Extracellular electron transfer mechanisms between microorganisms and mi-nerals Nat Rev Microbiol 14 651ndash662 httpdxdoiorg101038nrmicro201693

Si T Xiao H Zhao H 2015 Rapid prototyping of microbial cell factories via genome-scale engineering Biotechnol Adv 33 1420ndash1432 httpdxdoiorg101016jbiotechadv201411007

Silva-Rocha R de Lorenzo V 2014 Engineering multicellular logic in bacteria withmetabolic wires ACS Synth Biol 3 204ndash209 httpdxdoiorg101021sb400064y

Siu K-H Chen RP Sun Q Chen L Tsai S-L Chen W 2015 Synthetic scaffolds forpathway enhancement Curr Opin Biotechnol 36 98ndash106 httpdxdoiorg101016jcopbio201508009

Skariyachan S Manjunatha V Sultana S Jois C Bai V Vasist KS 2016 Novelbacterial consortia isolated from plastic garbage processing areas demonstrated en-hanced degradation for low density polyethylene Environ Sci Pollut Res Int 2318307ndash18319 httpdxdoiorg101007s11356-016-7000-y

Sohn SB Kim TY Park JM Lee SY 2010 In silico genome-scale metabolic ana-lysis of Pseudomonas putida KT2440 for polyhydroxyalkanoate synthesis degradationof aromatics and anaerobic survival Biotechnol J 5 739ndash750 httpdxdoiorg101002biot201000124

Stephanopoulos G 1999 Metabolic fluxes and metabolic engineering Metab Eng 11ndash11 httpdxdoiorg101006mben19980101

St-Pierre F Cui L Priest DG Endy D Dodd IB Shearwin KE 2013 One-stepcloning and chromosomal integration of DNA ACS Synth Biol 2 537ndash541 httpdxdoiorg101021sb400021j

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Takahashi K Ishikawa N Sadamoto Y Sasamoto H Ohta S Shiozawa A MiyoshiF Naito Y Nakayama Y Tomita M 2003 E-cell 2 multi-platform E-cell simu-lation system Bioinforma Oxf Engl 19 1727ndash1729

Tolia NH Joshua-Tor L 2006 Strategies for protein coexpression in Escherichia coliNat Methods 3 55ndash64 httpdxdoiorg101038nmeth0106-55

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UniProt Consortium 2015 UniProt a hub for protein information Nucleic Acids Res 43D204ndash212 httpdxdoiorg101093nargku989

Vallenet D Calteau A Cruveiller S Gachet M Lajus A Josso A Mercier JRenaux A Rollin J Rouy Z Roche D Scarpelli C Meacutedigue C 2016MicroScope in 2017 an expanding and evolving integrated resource for communityexpertise of microbial genomes Nucleic Acids Res httpdxdoiorg101093nargkw1101

van Leeuwen JGE Wijma HJ Floor RJ van der Laan J-M Janssen DB 2012

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Directed evolution strategies for enantiocomplementary haloalkane dehalogenasesfrom chemical waste to enantiopure building blocks Chembiochem Eur J ChemBiol 13 137ndash148 httpdxdoiorg101002cbic201100579

Vilchez-Vargas R Junca H Pieper DH 2010 Metabolic networks microbial ecologyand ldquoomicsrdquo technologies towards understanding in situ biodegradation processesEnviron Microbiol 12 3089ndash3104 httpdxdoiorg101111j1462-2920201002340x

Wang HH Isaacs FJ Carr PA Sun ZZ Xu G Forest CR Church GM 2009Programming cells by multiplex genome engineering and accelerated evolutionNature 460 894ndash898 httpdxdoiorg101038nature08187

Wang B Kitney RI Joly N Buck M 2011 Engineering modular and orthogonalgenetic logic gates for robust digital-like synthetic biology Nat Commun 2 508httpdxdoiorg101038ncomms1516

Wang K Schmied WH Chin JW 2012 Reprogramming the genetic code from tri-plet to quadruplet codes Angew Chem Int Ed Eng 51 2288ndash2297 httpdxdoiorg101002anie201105016

Wang B Barahona M Buck M 2013 A modular cell-based biosensor using engineeredgenetic logic circuits to detect and integrate multiple environmental signals BiosensBioelectron 40 368ndash376 httpdxdoiorg101016jbios201208011

Wang L Xue C Wang L Zhao Q Wei W Sun Y 2016 Strain improvement ofChlorella sp for phenol biodegradation by adaptive laboratory evolution BioresourTechnol 205 264ndash268 httpdxdoiorg101016jbiortech201601022

Wei R Oeser T Schmidt J Meier R Barth M Then J Zimmermann W 2016Engineered bacterial polyester hydrolases efficiently degrade polyethylene ter-ephthalate due to relieved product inhibition Biotechnol Bioeng 113 1658ndash1665httpdxdoiorg101002bit25941

Wibberg D Bremges A Dammann-Kalinowski T Maus I Igentildeo MI Vogelsang RKoumlnig C Luque-Almagro VM Roldaacuten MD Sczyrba A Moreno-Viviaacuten CBlasco R Puumlhler A Schluumlter A 2016 Finished genome sequence and methylomeof the cyanide-degrading Pseudomonas pseudoalcaligenes strain CECT5344 as resolvedby single-molecule real-time sequencing J Biotechnol 232 61ndash68 httpdxdoiorg101016jjbiotec201604008

Wicker J Lorsbach T Guumltlein M Schmid E Latino D Kramer S Fenner K 2016enviPathmdashthe environmental contaminant biotransformation pathway resourceNucleic Acids Res 44 D502ndash508 httpdxdoiorg101093nargkv1229

Wierckx N Prieto MA Pomposiello P de Lorenzo V OConnor K Blank LM2015 Plastic waste as a novel substrate for industrial biotechnology MicrobBiotechnol 8 900ndash903 httpdxdoiorg1011111751-791512312

Wigginton N Yeston J Malakoff D 2012 Working with waste More treasure thantrash Introduction Science 337 662ndash663 httpdxdoiorg101126science3376095662

Winsor GL Griffiths EJ Lo R Dhillon BK Shay JA Brinkman FSL 2016Enhanced annotations and features for comparing thousands of Pseudomonas gen-omes in the Pseudomonas genome database Nucleic Acids Res 44 D646ndash653httpdxdoiorg101093nargkv1227

Wittich R-M Wolff P 2007 Growth of the genetically engineered strain Cupriavidusnecator RW112 with chlorobenzoates and technical chlorobiphenyls Microbiology153 186ndash195 httpdxdoiorg101099mic029096-0

Wittich R-M van Dillewijn P Ramos JL 2010 Rational construction of bacterialstrains with newimproved catabolic capabilities for the efficient breakdown of en-vironmental pollutants In Timmis KN (Ed) Handbook of Hydrocarbon and LipidMicrobiology Springer Berlin Heidelberg pp 1247ndash1254

Wolfaardt GM Lawrence JR Robarts RD Caldwell SJ Caldwell DE 1994Multicellular organization in a degradative biofilm community Appl EnvironMicrobiol 60 434ndash446

Wu G Yan Q Jones JA Tang YJ Fong SS Koffas MAG 2016 Metabolicburden cornerstones in synthetic biology and metabolic engineering applicationsTrends Biotechnol 34 652ndash664 httpdxdoiorg101016jtibtech201602010

Xu P Vansiri A Bhan N Koffas MAG 2012 ePathBrick a synthetic biology plat-form for engineering metabolic pathways in E coli ACS Synth Biol 1 256ndash266httpdxdoiorg101021sb300016b

Yadid I Rudolph J Hlouchova K Copley SD 2013 Sequestration of a highly re-active intermediate in an evolving pathway for degradation of pentachlorophenolProc Natl Acad Sci U S A 110 E2182ndash2190 httpdxdoiorg101073pnas1214052110

Yang J Liu R Jiang H Yang Y Qiao C 2012 Selection of a whole-cell biocatalystfor methyl parathion biodegradation Appl Microbiol Biotechnol 95 1625ndash1632httpdxdoiorg101007s00253-011-3792-3

Yang Y Yang J Jiang L 2016 Comment on A bacterium that degrades and assim-ilates poly(ethylene terephthalate) Science 353 759 httpdxdoiorg101126scienceaaf8305

Yoshida S Hiraga K Takehana T Taniguchi I Yamaji H Maeda Y Toyohara KMiyamoto K Kimura Y Oda K 2016a A bacterium that degrades and assimilatespoly(ethylene terephthalate) Science 351 1196ndash1199 httpdxdoiorg101126scienceaad6359

Yoshida S Hiraga K Takehana T Taniguchi I Yamaji H Maeda Y Toyohara KMiyamoto K Kimura Y Oda K 2016b Response to comment on A bacterium thatdegrades and assimilates poly(ethylene terephthalate) Science 353 759 httpdxdoiorg101126scienceaaf8625

Zobel S Benedetti I Eisenbach L de Lorenzo V Wierckx N Blank LM 2015 Tn7-based device for calibrated heterologous gene expression in Pseudomonas putida ACSSynth Biol 4 1341ndash1351 httpdxdoiorg101021acssynbio5b00058

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P Dvořaacutek et al Biotechnology Advances 35 (2017) 845ndash866

866

  • Bioremediation 30 Engineering pollutant-removing bacteria in the times of systemic biology
    • Introduction
    • Approaches and tools of systems biology and metabolic engineering for tailoring biodegradation pathways
      • Step 1 get to know the contaminant and find a suitable catabolic pathway
        • Databases
        • Pathway prediction systems and toxicity prediction algorithms
        • Detection and quantification of pathway building blocks
          • Step 2 select and get to know a suitable microbial host
            • Omics techniques in studies of bacterial degraders
              • Step 3 build the pathway and optimize its performance in the context of host metabolism
                • Computational tools for pathway and strain optimization
                • Experimental tools for pathway and strain optimization
                • Protein engineering to eliminate bottlenecks of biodegradation pathways
                    • Synthetic biology approaches and tools for biodegradation pathway engineering
                      • Development of robust microbial chassis for biodegradation of toxic chemicals
                      • Development of synthetic microbial consortia for enhanced biodegradation and bioremediation of pollutants
                      • Development of orthogonal systems in bacteria to enhance pollutant biodegradation and bioremediation
                      • Engineering microbial biodegradation pathways in vitro
                        • Towards planet-wide bioremediation interventions CO2 capture as a large-scale challenge
                        • Conclusions and perspectives
                        • Acknowledgements
                        • References
                        • Web references
Page 4: Bioremediation 3.0 Engineering pollutant-removing bacteria ... · biology, metabolic engineering, and synthetic biology, for the sake of understanding and reprograming biological

212 Pathway prediction systems and toxicity prediction algorithmsThe development of reliable pathway prediction systems is of major

importance for the field of biodegradation as for the numerous an-thropogenic chemicals released into the environment the catabolicpathways are either completely unknown or poorly understood Thesetools consider many factors including substrate specificities bindingsites or reaction mechanisms of enzymes structural changes in sub-strate-product pairs and pathway distance from substrate to product(Medema et al 2012) The pathway prediction system of EAWAG-BBDPPS or enviPath predicts biodegradation routes based on avail-able biotransformation rules derived from reactions found in theEAWAG-BBD database or in the literature (Gao et al 2010 Wickeret al 2016) It can highlight initiating reaction types likely to occur inaerobic environments which in some cases lead to the complete mi-neralization of the contaminant (Fig 2) although it does not define thethermodynamic feasibility of the proposed pathways or the specificenzymes that catalyse proposed reactions This latter information canbe supplemented by the complementary prediction algorithm of a newpublic database RAPID (httprapidumnedurapid) currently beingdeveloped by the group of Lawrence P Wackett at University of Min-nesota The idea of future utility of combined EAWAG-BBD and RAPIDalgorithms was provided recently by Aukema and co-workers who usedthese tools to predict initial metabolism of a set of emerging con-taminants that include recalcitrant pharmaceuticals alkyl phthalatesor fragrance compounds previously shown to be degraded by Para-burkholderia xenovorans LB400 (Aukema et al 2016)

In case of anthropogenic contaminants with unknown or un-complete natural catabolic pathways the Biochemical NetworkIntegrated Computational Explorer (BNICEch) can be recommended aswell (Hatzimanikatis et al 2005) The authors from the Vassily Hat-zimanikatis group at the Swiss Federal Institute of Technology havebeen developing BNICEch one of the first tools for uncovering anddescribing new enzymatic reactions based on known biochemistryforgt 15 years In the latest version the method was coupled with amanually-curated KEGG database generally recognized as one of themost complete repositories of metabolic data (Kanehisa et al 2014)The catalogued biochemistry of the KEGG database was converted into361 bidirectional generalized rules which were applied to explore thepossible space of all metabolic reactions that link the compounds re-ported in the KEGG and are potentially found in nature (Hadadi et al2016) As a result 6528 KEGG reactions and 137416 known or com-pletely new enzymatic reactions between two or more KEGG com-pounds were organized in a reaction web-based database named ATLASof Biochemistry (httplcsb-databasesepflchatlas) Importantly thethermodynamic feasibility of de novo generated reactions was evaluatedand the parameter of Gibbs free energy is a part of the majority ofrecords in the ATLAS database To the benefit of the reaction predictionsystem according to authors up to 80 of the newly added KEGGreactions in 2015 already existed in ATLAS as novel reactions

In biodegradation pathway design BNICEch was first used byFinley and co-workers to propose all possible catabolic routes for 4-chlorobiphenyl phenanthrene γ-hexachlorocyclohexane and 124-

Fig 1 Proposed workflow for engineering biodegradation pathways using systemic biology approaches and tools The Figure sketches the roadmap to contructing superior bacterialcatalysts for environmental bioremediation that capitalize on systems and synthetic biology as explained in this review

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trichlorobenzene (124-TCB) compounds that represent various classesof xenobiotics (Finley et al 2009) BNICEch not only reproduced theexperimentally verified pathways but also found completely novel re-actions taking into account the starting compound the requestedlength of the pathway and the broader reaction rules of the EnzymeCommission classification system The 15 novel pathways for 124-TCBwere subsequently probed using thermodynamic analysis and foundenergetically feasible In the follow-up study the authors evaluated thenew routes in the context of Pseudomonas putida KT2440 cellular me-tabolism (Finley et al 2010) They expanded the available P putidametabolic model by including the pathways obtained from BNICEchand metabolic flux analysis was used to predict the maximum biomassgenerated using 124-TCB as the sole carbon source In this way in-teresting alternative pathways were proposed that couple 124-TCB

utilisation with biomass formation Although this work was purelytheoretical it suggests the way for those who wish to use the increasingpower of computational modelling to design biodegradation routes orexplore the fate of xenobiotics in the environment

Prediction tools for assisting the design of robust microbial bio-sensors are highly desirable as well Such biosensors are often based onregulatory proteins or riboswitches able to translate the presence of agiven metabolite or small molecule into a readily measurable readout(Gredell et al 2012 Schallmey et al 2014 Cardinale et al 2017) Butwhat to do when biosensors for a compound of interest do not exist Aninteresting approach to tackle the issue was presented recently byDeleacutepine et al (2016) Their SensiPath algorithm (httpsensipathmicalisfr) stems from the concept of retrosynthesis introduced pre-viously by the same laboratory (Carbonell et al 2014) SensiPath

Fig 2 Initial aerobic biotransformations of theemerging contaminant 123-trichloropropane(TCP) generated by the EAWAG-BBD PathwayPrediction System Reactions are tagged with oneof the 249 biotransformation rules used for thepredictions Reactions proven experimentally tobe catalysed by haloalkane dehalogenase DhaAepoxide hydrolase EchA and halohydrin dehalo-genase HheC in aerobic conditions are high-lighted with thick arrows (Bosma et al 1999)The scheme was adopted and modified fromhttpeawag-bbdethzchpredict Aerobic like-lihood specifies whether the reaction will occur inaerobic conditions exposed to air in soil (mod-erate moisture) or water at neutral pH 25 degCwith no competing compounds AbbreviationsDCP 23-dichloropropane-1-ol ECH epi-chlorohydrin CPD 3-chloropropane-12-diolGDL glycidol

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applies more than 9000 unique reaction rules collected from BRENDAMetacyc and Rhea (Morgat et al 2015) databases to find enzymes(currently limited to max two-step reactions) able to convert a targetundetectable organic chemical into a molecule that can be recognizedby a known natural sensing system In the theoretical part of the follow-up study the authors applied SensiPath to expand the range of therebydetectable compounds among chemical structures collected from sev-eral databases (Libis et al 2016) The method almost tripled (from 169to 477) the number of theoretically detectable compounds in theTOX21 database (Krewski et al 2009) The predictive power of themethod was validated in the experimental part of the study Metabolicmodules of up to two enzymes proposed by SensiPath were introducedinto E coli bearing a sensing module for the product of enzymaticconversion at stake Functional whole-cell biosensors for cocaine ni-troglycerin or parathion were constructed in such way Despite thisremarkable contribution the number of undetectable organic chemicalsremains at a highgt 94 of all compounds in TOX21 databaseStrengthening the computational power of tools such as SensiPath willhopefully improve the situation in the near future

The predicted reaction networks can also be pruned using toxicityestimation algorithms to prevent the formation of compounds highytoxic to the host (Benfenati 2007) Besides quantitative structure ac-tivity relationship (QSAR) models which calculate toxicity based on thephysical characteristics of the chemical structures (molecular de-scriptors Eriksson et al 2003) other models have recently been de-veloped to predict toxicity based for example on chemical-chemicalinteractions (Chen et al 2013) QSAR models nonetheless remain theparadigm in the field An interesting example of a QSAR model-basedcomputational tool (httpsabsynthissbgenopolefrBioinformatics)is the toxicity prediction web server EcoliTox (Planson et al 2012)The dataset obtained from screening a diversified chemical library of166 compounds for toxicity in Escherichia coli was used to develop apredictor of toxicity of metabolites throughout the metabolome of thispopular bacterial host Tools similar to the EcoliTox server could beintegrated into a computational framework for improved design ofnative or heterologous biodegradation pathways and used to fine-tunetheir expression in selected microbial hosts A powerful virtualscreening approach currently applied predominantly in drug designstudies (Buryska et al 2016) could be used similarly for syntheticpathway predictions to avoid selection of enzymes whose catalyticmachinery might be inhibited by molecules present in a host cell

213 Detection and quantification of pathway building blocksOnce the suitable pathway is selected another issue arises that of

how to detect and quantify the pathway building blocks - metabolitesand enzymes Detection and accurate quantification of metabolites incomplex reaction mixtures and of functional enzymes produced withinthe cell provide valuable information on pathway performance and itsbottlenecks as well as a background for further optimization of theroute Here the experimental tools and approaches come into play forthe first time in our workflow scheme (Fig 1) The best sensitivity andseparation power is currently provided by chromatographic separationof metabolites followed by mass spectrometry analysis (Buumlscher et al2009) Information on physicochemical properties of compounds(boiling point polarity molecular weight) generated in the pathway isnonetheless crucial for correct choice of a detection method be it gaschromatography liquid chromatography or capillary electrophoresis(Buumlscher et al 2009) Of the numerous chemical databases PubChem(httpspubchemncbinlmnihgov) created in 2004 by the US Na-tional Institutes of Health is the worlds largest free chemistry re-pository into which anyone can deposit data on structures and theirproperties (Kim et al 2016) The database has grown togt 92 millionstructures Bioactivity data of chemical substances manually with-drawn from the scientific literature are saved in PubChem Substanceand Compound databases Integration with other databases allows in-cluding pharmacology toxicology drug target information safety or

handling information to the annotation of chemical records PubChemalso hosts data from important regulatory agencies including the USEnvironmental Protection Agency In 2007 another free repositoryChemSpider (httpwwwchemspidercom) was created and laterpurchased by the UK Royal Society of Chemistry it provides access toover 59 million entries from 487 diverse data sources and can be re-commended as another rich source of knowledge on experimental orpredicted physicochemical properties of compounds

For pathway enzyme detection and absolute quantification SDS-PAGE or better Western blot analysis followed by determination ofenzyme activity have been standard protocols in metabolic engineeringfor many years (Kurumbang et al 2014) When applied to multiple-enzyme pathways however these methods are tedious and time-con-suming Selected Reaction Monitoring Mass Spectrometry protocolsdeveloped in the past few years seem to provide a promising alternativefor absolute protein quantification in the future as they allow rapidsimultaneous quantification of many proteins in the cell with goodselectivity and sensitivity regardless of organism of origin (Batth et al2012)

22 Step 2 select and get to know a suitable microbial host

In addition to catabolic pathway choice or design the selection of asuitable host is a crucial initial step in any engineering project focusedon the development of a whole-cell degrader Over the years severalmicrobial hosts have been considered for application in biodegradationprocesses but no single naturally isolated bacterial strain possesses allthe desired characteristics of the optimal degrader Soil bacteria couldsatisfy many of these requirements because of the conditions they facenaturally in the niches in which they thrive including exposure toenvironmental contaminants and to competing and predatory speciesThese microorganisms have versatile metabolic lifestyles that allowthem to adapt to changing conditions sometimes adverse (oxidativestress temperature challenges osmotic perturbations) P putida is aubiquitous rhizosphere colonizer that belongs to the wide (if somewhatfuzzy) group of fluorescent Pseudomonas P putida KT2440 is the best-characterized saprophytic laboratory pseudomonad that has retained itsability to survive and thrive in the environment Its entire chromosomesequence is available since 2002 (Belda et al 2016 Nelson et al 2002Nikel et al 2014) This strain derives from P putida mt-2 a naturallyoccurring species able to degrade several aromatic compounds throughthe activities encoded in the catabolic TOL plasmid The physiologicaland metabolic properties of pseudomonads argue for their selection asthe starting point for engineering of biodegradation processes In ad-dition to rapid growth and low nutrient demand their extremely ver-satile metabolism and high capacity to supply redox power providingendurance to oxidative stress are several advantages that render Pputida an interesting host for degradation applications (Nikel et al2016a) Most of these properties arise from a very robust central me-tabolism (Fig 3) in which the combined activity of enzymes fromdifferent pathways (ie the EDEMP cycle Nikel et al 2015) endowsthe cells with a large NADPH supply (Chavarriacutea et al 2013) The op-erativity of the EDEMP cycle enables the formation of ATP and NADPHat different rates depending on the amount of trioses phosphate re-cycled Assuming that P putida has (i) a NAD+ dependent glycer-aldehyde-3-P dehydrogenase and a NADP+ dependent glucose-6-P de-hydrogenase (ii) pyruvate as the end product of glycolytic pathwaysand (iii) a negligible flux through 2-ketogluconate the yields of pyr-uvate ATP and NADPH are as indicated in the inset to Fig 3 Theability to sustain high NADPH formation rates is a requisite needed in abacterial host for the implantation of biodegradation pathways(Lorenzo and Loza-Tavera 2011) As will be shown in part in followingsections these beneficial properties are reflected in the increasingnumber of metabolic engineering studies in which P putida appears asone major player

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221 Omics techniques in studies of bacterial degradersSystems biology and particularly lsquoomicrsquo techniques contributed

markedly to rational selection of suitable hosts for metabolic en-gineering The enormous amount of genetic information read with first-or next-generation sequencing techniques together with powerful newalgorithms and computational tools to aid with data mining allowedconsiderable progress in our understanding of dynamic interactionsinside and in between cells and the environments they inhabit(Bouhajja et al 2016 Vilchez-Vargas et al 2010) Available genomicdata also enabled new insights into the evolution of microbial meta-bolism towards biodegradation of well-recognized xenobiotics such as135-triazine (Shapir et al 2007) 16S rRNA-phylogenetic microarraysand the functional gene microarrays have been used to monitor mi-crobial community dynamics and to track activities of microbes in thepolluted environments respectively (Chakraborty et al 2012) Thereconstructed genome-scale metabolic models together with tran-scriptomic proteomic metabolomic and flux analyses in variousgrowth and stress conditions completely changed our view of popularbiodegradative bacterial hosts including the paradigmatic P putida(Sohn et al 2010)

For instance fluxomic analyses applied to P putida KT2440 helpedto reveal its distinct strategies for dealing with carbon sources eg byfavouring the routes that generate NADPH which promotes greaterresistance to oxidative stress (Chavarriacutea et al 2013 Nikel et al 2013)Examination of transcriptomic data uncovered the significant portion ofthe P putida genome (ge20) that is differentially expressed when thecells are grown on diverse substrates and emphasized the role of a suiteof global regulators (J Kim et al 2013) Recent complete structural re-annotation of the KT2440 strain genome allowed identification of 1485

CDSs associated to 1898 chemical reactions prediction of catabolicpathways for 92 compounds (carbon nitrogen and phosphorussources) and upgrading of the available genome-scale metabolic model(Belda et al 2016 Puchałka et al 2008) lsquoOmicrsquo analyses greatly in-creased insight into the genetic and physiological background of someother pseudomonads besides KT2440 including P pseudoalcaligenesCECT5344 which might be used for biodegradation of industrial cya-nide-containing wastes or the 246-trinitrotoluene biotransforming Pputida JLR11 (Pascual et al 2015 Wibberg et al 2016) At the time ofwriting this article there are 3133 drafted and 215 completed Pseu-domonas genomes currently available in the Pseudomonas Genome Da-tabase (httpwwwpseudomonascom) perhaps the most compre-hensive genomic database dedicated to a single bacterial genus (Winsoret al 2016)

Complete genomic sequences are currently available for many otherpotentially useful degraders such as Cupriavidus necator JMP134 abacterium with nearly 300 genes involved in the catabolism of aro-matics including chloroaromatics (Lykidis et al 2010) Other ex-amples include but are not limited to the PCBs-degrading Acidovoraxsp strain KKS102 (Ohtsubo et al 2012) the cyclic hydrocarbons-de-grading Alicycliphilus denitrificans strains BC and K601 (Oosterkampet al 2013) or the oil-degrading bacterium Oleispira antarctica whosegenome has provided useful information as to how bacteria mitigate oilspills in cold environments (Kube et al 2013) Genomic sequences ofthese and many other microorganisms with biodegradation capabilitiescan be searched through in comprehensive databases such as NCBIgenome database (httpswwwncbinlmnihgovgenome) or Micro-Scope (httpwwwgenoscopecnsfragcmicroscopehome) a mi-crobial genome annotation and analysis platform (Vallenet et al2016) developed in the Laboratory of Bioinformatics Analyses forGenomics and Metabolism at the National Sequencing Centre (EvryFrance) it provides a complete pipeline for annotations and compara-tive analyses of up to 6000 microbial genomes of which hundreds weremanually curated for accuracy

Despite interest in study of individual bacterial species the fasci-nating in situ systems biology exercise that followed one of the mostalarming ecological disasters in modern human history the 2010 BPDeepwater Horizon spill in the Gulf of Mexico emphasized the irre-placeable role of bacterial communities in natural bioremediationBacteria that can convert oil-derived alkanes and aromatics into thebiomass were identified based on (i) genome reconstructions via me-tagenome sequencing of the DNA from the stable-isotope-probing ex-periments (Dombrowski et al 2016) and (ii) cultivation trials using oilsamples from sea surface and deep sea collected during the outflow(Gutierrez et al 2013) Only the concerted action of many microbialspecies including Cycloclasticus Alcanivorax members of Rhodospir-illales Alteromonas and others augmented by the specific environmentof the oil spill allowed the degradation of the complex mixture thatconsisted of as many as 1000 compounds Metagenomic strategies helpto shed light also on the composition and dynamics of microbial con-sortia that participate in natural biodegradation of chorinated ethenesin contaminated groundwater (Adetutu et al 2015) or polycyclic aro-matic hydrocarbons in soils (Guazzaroni et al 2013)

23 Step 3 build the pathway and optimize its performance in the contextof host metabolism

Optimization of the proposed biochemical pathway in the context ofhost cell metabolism is often the most demanding part of the en-gineering project This is especially true for de novo synthetic pathwayscomposed of enzymes from different sources implanted into a newbacterial host Codon composition of introduced genes might not beoptimal for expression in a heterologous host enzyme activities mightnot be well balanced or might cross-talk with the native metabolicnetwork pathway intermediates can accumulate and inhibit the growthof cells or cofactors ATP or redox carriers might be lacking The

Fig 3 The action of the EDEMP cycle is illustrated with a theoretical example of fluxdistribution in glucose-grown P putida KT2440 Total carbon uptake is considered to be100 (arbitrary units) and glucose can be split into the phosphorylative (Glk) or oxidative(x) branches The net formation rates (v) of pyruvate (Pyr) ATP and NADPH are in-dicated in the inset table with r representing the amount of triose phosphates recycled tohexose phosphates through the action of the EDEMP cycle Note that part of the glucosecan also be oxidized through the action of the so-called peripheral reactions represented bythe overall flux x in the scheme and that two trioses are formed per glucose consumedie a glucose uptake flux of 100 (arbitrary units) will result in a pyruvate flux of 200Abbreviations ED pathway EntnerndashDoudoroff pathway EMP pathwayEmbdenndashMeyerhofndashParnas pathway PP pathway pentose phosphate pathway G6Pglucose-6-P F6P fructose-6-P FBP fructose-16-P2 DHAP dihydroxyacetone-P GA3Pglyceraldehyde-3-P 6PG 6-phosphogluconate KDPG 2-keto-3-deoxy-6-phosphogluco-nate 2KG 2-ketogluconate and 2K6PG 2-keto-6-phosphogluconate Figure adapted andmodified from (Nikel et al 2016a)

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portfolio of systemic tools that can help overcome these issues is ex-panding constantly Here we will center on the major concepts thathave proven useful in tailoring biodegradation pathways and microbialdegraders We will discuss the application of several of these moderntools including the example of engineering the synthetic catabolic routefor 123-trichloropropane (TCP Fig 2) an industrial byproduct ofanthropogenic origin now being recognized as a groundwater con-taminant (Samin and Janssen 2012) TCP is representative of difficult-to-degrade halogenated aliphatic compounds a tough case for re-mediation technologists due to its physicochemical properties toxicityin living organisms and absence of efficient natural catabolic pathway(Janssen et al 2005 Samin and Janssen 2012) The enzymes laterused to compose the first synthetic pathway that allowed mineraliza-tion of TCP by an engineered bacterium had already been described inthe late 1980s and early 90s (Bosma et al 1999) With a historyspanninggt 25 years the engineering of this biodegradation pathwaythus represents one of the most systematic efforts of its kind

231 Computational tools for pathway and strain optimizationThe tremendous increase in the number of sequenced genomes (the

number of complete genomes in the NCBI database has more thandoubled in the last two years) of unicelluar and multicellular organ-isms including the microbial degraders mentioned above led to thereconstruction of genome-scale metabolic models representing all(anotated) biochemical reactions that take place in the living cell (Kinget al 2015) Mathematical models of metabolic networks have a cen-tral role in metabolic engineering and in pathway and strain optimi-zation Modelling can be used to analyze the selected pathway (eg todetermine the distribution of metabolic fluxes) and identify reactionsthat must be modified to improve its performance Genome-scale me-tabolic models are built by compiling data on genes related to bio-chemical reactions from databases such as KEGG and BioCyc The genesare compared to already finalized reconstructions of related organismsto find homologous reactions the draft model is then refined and ver-ified by simulations Flux Balance Analysis (FBA) and Metabolic FluxAnalysis (MFA) are two major approaches that use metabolic models topredict intracellular fluxes (Stephanopoulos 1999) FBA is a theoreticalconcept that uses the stoichiometric coefficients for each reaction in thesystem as the set of constraints for optimization MFA determines in-tracellular fluxes from measurable rates of metabolite uptake and se-cretion in growth medium In a typical experiment substrates labelledwith the non-radioactive isotope 13C are used in chemostat-growncultures to trace fluxes through a cellular network Computational toolssuch as Cobra 20 for Matlab OptKnock or k-OptForce can implementconstraint-based flux calculations and suggest strategies based onknock-out upregulation or downregulation of target genes to optimizemetabolite production without compromising cell growth (Burgardet al 2003 Chowdhury et al 2014 Schellenberger et al 2011) In astudy by Izallalen and colleagues OptKnock was used together with theconstraint-based in silico model of Geobacter sulfurreducens to determinegene deletions which could lead to increased respiration rates (Izallalenet al 2008) Geobacter species are well recognized for their ability todegrade radioactive and toxic metals and have been explored for theirutility in microbial fuel cells (Shi et al 2016) These processes arenonetheless limited by electron transfer rates in cells OptKnock cal-culations followed by genetic constructions by the authors resulted inrecombinant Geobacter cells with decreased ATP levels slower growthrates and predicted higher respiration rates (Izallalen et al 2008)Subsequent genome-wide analysis of gene transcript levels also verifiedthe in silico predictions

Although FBA- and MFA-based approaches can handle genome-scalemetabolic models and require no information on enzyme kinetics theiroutput only gives a steady-state approximation of the dynamic reality inthe living cell Kinetic modelling is an alternative to static flux calcu-lations when reliable kinetic parameters of pathway enzymes and someother input data are available eg specific surface area of the cell

permeability coefficients for substrates metabolite concentrations orapproximate enzyme amount in the cell (Chowdhury et al 2015) Ki-netic constants can be obtained from enzyme databases such asBRENDA or can be determined experimentally One should keep inmind that most kinetic constants deposited in databases are not stan-dardized and also measured in in vitro which might be a limiting factorwhen such data are applied to kinetic modelling in living systems (Costaet al 2011) Computational tools such as COPASI or E-Cell are used toassemble the pathway model in the form of kinetic and differentialequations and to simulate reaction time courses for various conditions(Mendes et al 2009 Takahashi et al 2003) Kinetic models of wholemetabolic networks are the holy grail of metabolic engineering buttheir application in strain design is limited by factors such as un-reliability of parameters non-universality of rate laws need to imple-ment regulatory events or extremely high demand on computationalpower (Chowdhury et al 2015) In contrast the use of kinetic mod-elling to engineer individual metabolic pathways or simpler in vitro-assembled networks is currently more feasible (Muschiol et al 2015)

Recent studies by Dvorak Kurumbang and colleagues are notableexample of kinetic modelling applied in engineering of synthetic bio-degradation pathways (Dvorak et al 2014b Kurumbang et al 2014)As a model these studies centered on detoxification of the industrialwaste compound and water pollutant TCP to glycerol - reaction cata-lysed by the haloalkane dehalogenase DhaA from Rhodococcus rhodo-chrous NCIMB 13064 and the haloalcohol dehalogenase HheC and theepoxide hydrolase EchA from Agrobacterium radiobacter AD1 (Bosmaet al 1999) In vitro steady-state kinetic data obtained for HheC EchAand three variants of DhaA were utilized to develop a kinetic model ofthe reaction that proved useful for revealing major bottlenecks in thepathway that is (i) low activity of wild-type DhaA on TCP and (ii)unbalanced enantioselectivity and enantiospecificity of the first and thesecond enzyme in the route DhaA and HheC respectively (Dvoraket al 2014b) Modelling was further applied to predict optimal enzymestoichiometry and fine-tuning overall pathway efficiency both in invitro conditions and in the heterologous microbial host E coli In E colithe pathway was established as a modular tunable system (Kurumbanget al 2014) Absolute amounts of pathway enzymes in the cell copynumbers of used plasmid vectors and toxicity levels of pathway sub-strate and intermediates were included in the mathematical model asadditional parameters Variants of the pathway predicted to promotebetter host survival in a medium with toxic TCP were verified ex-perimentally The observed precise matching between calculated andexperimental data confirmed the performance of the pathway in E coliand stressed the power of kinetic modelling when reliable parametersare available Finally the kinetic parameters of an optimal DhaA var-iant that would ensure sufficient TCP conversion to glycerol as well ashost cell growth on the toxic substrate were both predicted by mathe-matical modelling

This study shows that for engineering and implanting heterologouspathways complete knowledge of the host cell metabolic background isnot a must and a reliable strain design can be achieved with a relativelysimple mathematical model (Dvorak et al 2014b) Even so similarstudies that combine theoretical and experimental approaches in thedesign of pathways and strains for biodegradation are still rare Mostrecent work in the biodegradation field is restricted to application ofpurely experimental techniques from a repertoire of metabolic en-gineering discussed in the following section

232 Experimental tools for pathway and strain optimizationOnce the bottleneck reaction steps are identified and a solution is

proposed experimental techniques are applied to target the appropriategenes or regulatory mechanisms Engineering is traditionally conductedat the level of gene expression which affects the quantity of proteinGenes in native or synthetic pathways are usually overexpressed byintroducing plasmid vectors with extra copies of desired coding se-quences One popular approach also used for modular assembly of the

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TCP biodegradation pathway described above is to combine NovagenDuet plasmid vectors (Merck Millipore Germany) or derivatives such asePathBrick vectors which carry compatible replication origins andantibiotic markers (Kurumbang et al 2014 Tolia and Joshua-Tor2006 Xu et al 2012) This system allows effective propagation andmaintenance of up to four plasmids in a single E coli BL21 cell withλDE3 lysogen and modular assembly of multi-gene pathways SEVA(Standard European Vector Architecture) plasmids with standardizedarchitecture and nomenclature are an alternative modular vectorsystem tailored to allow cloning or expression of heterologous genes inP putida E coli and other Gram-negative bacteria with no specificneed for strain pretreatment (Martiacutenez-Garciacutea et al 2015) Up to fourplasmids each with one of the six available antibiotic markers (ampi-cillin kanamycin cloramphenicol streptomycin tetracycline genta-micin) four independent replication origins (RK2 pBBR1 pRO1600ColE1 RSF1010) and diverse cargoes can be combined in a single hostcell to fulfill the users needs A rich collection of constructs is alreadyfreely available (httpsevacnbcsices)

A set of compatible SEVA plasmids was used for instance in a studyof Nikel and de Lorenzo (2013) who described extrication of P putidaKT2440 from its strictly aerobic nature which prevents its use in in-dustrial anaerobic fermentors and certain bioremediation applications(Nikel and de Lorenzo 2013) Two scenarios were considered to ex-plain the inability of P putida to grow in anoxic conditions (i) un-balanced energy charge due to limited activity of the respiratory chainand (ii) lack of appropriate pathways for anoxic NADH re-oxidationThis two-fold problem was tackled by recruiting the pyruvate dec-arboxylase (pdc) and alcohol dehydrogenase II (adhB) genes from theanaerobe Zymomonas mobilis and the acetate kinase (ackA) gene fromthe facultative aerobe E coli to manipulate energy generation andredox balance in anoxic conditions To evaluate the potential of therecombinant host for anoxic biotransformations the authors used it as ahost for the haloalkane dehalogenase genes from P pavonaceae strain170 The resulting recombinant which bore two synthetic operons oncompatible plasmids pSEVA234 and pSEVA428 not only survived inanoxic conditions but also degraded the environmental pollutant 13-dichloropropene These results highlight the possibility of harnessingthe full potential of P putida KT2440 as a robust biocatalyst by precisecontrol of its energy and redox metabolism

Despite the widespread use of recombinant plasmids in proof-of-concept studies metabolic engineers must bear in mind that the in-troduction and massive expression of heterologous genes can affect hostfitness due either to additional metabolic load or to depletion of es-sential cofactors in redox reactions (Dvorak et al 2015 Glick 1995Wu et al 2016) This is even more important in the design of robustbacterial degraders that must cope with a spectrum of toxic substratesandor pathway intermediates and might need an additional energycharge and reducing cofators to cope with oxidative stress (Dvoraket al 2015 Nikel et al 2013) By-passing such difficulties is possibleby tuning inducer concentration applying lower-copy-number plasmidswith weaker promoters or by enzyme-mediated co-factor recyclingthrough overexpression of NAD+ kinase transhydrogenases or dehy-drogenases (Dvorak et al 2015 Nikel et al 2016b)

As an alternative expression of heterologous genes directly from thehost chromosome can be beneficial for greater stability of the desiredgenotypephenotype and improved host viability (Martiacutenez-Garciacuteaet al 2014a Santos and Yoshikuni 2014 St-Pierre et al 2013 Zobelet al 2015) Homologous recombination and site-specific or randomtransposition-based techniques have been developed to enable chro-mosomal insertion of single genes gene clusters or whole syntheticoperons or knockouts of genes that encode competing metabolicpathways (Loeschcke et al 2013 Martiacutenez-Garciacutea et al 2014a Santosand Yoshikuni 2014 St-Pierre et al 2013 Zobel et al 2015)

In a study by Samin and co-workers a mutant variant of haloalkanedehalogenase DhaA was introduced into the chromosome of 23-di-chloro-1-propanol-degrading P putida MC4 under the control of a

strong constitutive promoter using the Tn5 transposon-based deliveryvector (Samin et al 2014) Although the complete mineralizationpathway in strain MC4 is not yet fully understood the recombinantPseudomonas was the first microorganism shown to grow aerobically onTCP both in shaken flasks and in packed-bed reactor in continuous-flow conditions Mini-transposon systems have also been used suc-cessfully for chromosomal integration of the whole catabolic cluster asin the study by Wittich and Wolf who transplanted 11 genes from threedistinct bacteria into Cupriavidus necator H850 giving rise to the firstdesigner bacterium to show aerobic growth on a wide range of PCBincluding the two commercial pesticides Aroclor 1221 and Aroclor1232 (Wittich and Wolff 2007)

Gene expression balancing is undoubtedly a powerful metabolic en-gineering concept In addition to the approaches mentioned above forrather rough manipulation of gene expression numerous techniques forfine-tuning expression have been developed in recent years Surgicalcuts including computationally designed ribosome binding sites refinedarchitecture of the whole expression cassette mutagenesis of promoterregions tailored stability of mRNA molecules or altered gene order inthe operon were proven useful for optimizing bisynthetic pathways(Boyle and Silver 2012) In several cases expression adjustment was alsoconsidered in biodegradation pathway design de la Pentildea Mattozzi andco-workers achieved more rapid paraoxon hydrolysis in a recombinantP putida strain by altering the order of three genes in the operon forenzymes that convert one of the initial pathway intermediates (de laPentildea Mattozzi et al 2006) Expression of the dszB gene which encodes2-hydroxybiphenyl-2-sulfinate sulfinolyase the last rate-limiting enzymein the dibenzothiophene biodesulfurization pathway was improved byrearranging gene order and removing the overlapping structure in the dszoperon (Li et al 2007) Nonetheless especially in cases of syntheticmetabolic pathways composed of biocatalysts from diverse organismsthe activity selectivity stability or inhibition bottlenecks of individualenzymes can be too far-reaching to be solved by tuning expression of thecorresponding genes Moreover overexpression of endogenous or exo-genous genes often results in a metabolic burden and lower host viabilitydue to overconsumption of metabolic precursors (amino acids rRNAATP reducing cofactors) to fuel the synthesis of non-essential proteins(Glick 1995 Wu et al 2016) Protein engineering of bottleneck en-zymes then becomes a more reasonable approach

233 Protein engineering to eliminate bottlenecks of biodegradationpathways

Over the last two decades three distinct strategies were developed toallow the construction and identification of mutant enzymes with de-sirable properties (Bornscheuer et al 2012) The earliest approach ra-tional design exploits various computational techniques such as mole-cular docking homology modelling and molecular dynamics simulationstogether with site-directed mutagenesis protocols to generate targetedmutations that result in single or several modified variants of an enzyme(Damborsky and Brezovsky 2014) In contrast directed evolution usesrandom mutagenesis methods and is beneficial especially in cases whenneither the structure nor the catalytic mechanism of the enzyme isavailable (Brakmann 2001) Random methods of directed evolution arecombined with elements of rational enzyme modification to bypasscertain limitations of both approaches This focused directed evolutionapproach targets several specific residues or certain protein regions se-lected on the basis of prior structural and functional knowledge(Bornscheuer et al 2012) Mutation hot spots are chosen experimentallyand on a much larger scale computationally using powerful new al-gorithms and statistical tools such as HotSpot Wizzard or 3DM tool(Bendl et al 2016 Damborsky and Brezovsky 2014 Kuipers et al2010) A clear trend in recent years is the introduction of protein en-gineering into the metabolic engineering workflow

The activities of many enzymes that act on anthropogenic com-pounds are derived from promiscuous activities that are generally veryinefficient (Khersonsky and Tawfik 2010) In such cases protein

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engineering is the only possible solution Numerous reports from thefirst decade of the 2000s describe application of common protein en-gineering methods such as error-prone PCR DNA shuffling site-di-rected or saturation mutagenesis for engineering activity or selectivityof individual catabolic enzymes to halogenated hydrocarbons (Paralesand Ditty 2005 Wittich et al 2010) Recently the new challenge ofaccumulating plastic waste has attracted the attention of protein en-gineers who try to enhance the activities of certain bacterial or fungalenzymes such as esterases lipases or polyster hydrolases to syntheticpolymers including polyethylene terephthalate (PET) or polyurethanes(Wierckx et al 2015) For instance Wei and colleagues applied acomparison of crystal structures and molecular docking combined withside-directed mutagenesis to improve the activity of cutinase TfCut2from Thermobifida fusca KW3 towards PET at elevated temperaturesthat promote degradation of this oil-derived plastic (Wei et al 2016)Subsequent kinetic and in silico energetic analyses confirmed that theimprovement in PET hydrolysis was the result of a relief of productinhibition caused by single point mutation in the enzymes surface-ex-posed active site New unique PETase and MHETase shown to helpbacterium Indonella sakaiensis to depolymerize and utilize PET arepromissing candidates for protein and metabolic engineering exercisesthat might lead to biotechnological recycling of the polymer(Bornscheuer 2016 Yoshida et al 2016a) Alas such a promise is notdevoid of controversy about the very enzymes that could do the job(Yang et al 2016 Yoshida et al 2016b)

The studies reporting the implantation of constructed mutants in thecontext of the whole biodegradative pathway are nonetheless ratherrare Iwakiri and co-workers successfully applied Alcaligenes sp KF711harbouring engineered monooxygenase P450CAM for the dehalogena-tion of pentachloroethane to trichloroethane in anoxic conditions(Iwakiri et al 2004) In another study promiscuous toluene ortho-monooxygenase and epoxide hydrolase were engineered using DNA-shuffling and saturation mutagenesis the use of mutant genes allowedmore rapid aerobic degradation of chlorinated ethenes with less ac-cumulation of stress-inducing intermediates in recombinant E colibearing the synthetic pathway (Lee et al 2006 Rui et al 2004)

Mutants of DhaA the enzyme that initiates dehalogenation of TCPwere used in three of the previously mentioned studies that focused onTCP pathway engineering (Dvorak et al 2014b Kurumbang et al 2014Samin et al 2014) The DhaA31 variant with 29-fold improved catalyticefficiency towards the chlorinated substrate was prepared by combiningmolecular dynamics simulations of product release from the buried ac-tive site with site-directed and saturation mutagenesis in selected hotspots (Pavlova et al 2009) Another promising mutant with the potentialto remove the second serious bottleneck in the synthetic TCPpathwaymdashenantioselectivity of DhaA and high enantiospecificity ofHheCmdashoriginated from the work of van Leeuwen et al (2012) Theauthors targeted DhaA31 to obtain variants that convert TCP pre-dominantly into (R)-DCP which can be further converted by HheC at amuch higher rate than the (S)-enantiomer Five rounds of focused di-rected evolution using saturation mutagenesis with restricted codon setsprovided mutant DhaA r5-90R with 13 new amino acid substitutions andsubstantially improved (R)-selectivity Mutagenesis nevertheless affectedthe activity with TCP which dropped to wild-type DhaA levels themutant was later shown in in vitro and in vivo studies to be of no value forfurther improvement of TCP pathway efficiency (Dvorak et al 2014bKurumbang et al 2014) Additional engineering input is thus needed toobtain DhaA variants with improved activity and modified enantios-electivity that would promote smooth flux through the syntheticpathway (Fig 4) and allow growth of bacterial recombinants in minimalmedium with the toxic substrate (Kurumbang et al 2014)

It will be necessary to accelerate the processes of laboratory evo-lution and screening of new enzymes with enhanced properties inmutant and metagenomic libraries to make protein engineering ofgreater value in optimizing natural and synthetic catabolic pathways(Bouhajja et al 2016) Selection couples an improved enzyme property

with host survival which allows evengt 109 clonesenzyme variants tobe tested in a reasonable time New selection assays based on toxicsubstrate conversions into a harmless utilizable metabolite coupledwith fluorescence-activated sorting of surviving cells could for ex-ample be applied for the enrichment of new dehalogenase variantsfrom libraries prepared by directed evolution or a semi-rational ap-proach (Fernaacutendez-Aacutelvaro et al 2011 Fibinger et al 2015) Severalrecent studies presented workflows for high-throughput screening andcharacterization of improved enzyme variants or novel enzyme activ-ities These test schemes are based on (i) bioinformatic pre-screeningcombined with high-throughput experimental characterization of can-didate proteins (Bastard et al 2014) (ii) completely automated roboticplatforms manipulating clones growing in microtitre plates (Doumlrr et al2016) (iii) microcapillary arrays coupled with fluorescent assays andlaser extraction for recovery of live clones (Chen et al 2016) or (iv)single-cell sorting based on a fluorescent signal from clones with animplemented synthetic genetic circuit responding to a specific meta-bolite (Choi et al 2014) In silico screening of molecules that fit theactive site cavity of an available enzyme structure or reverse screeningof enzymes that can accommodate target substrate could supplementexperimental methods and reduce the time needed for discovery of newbiocatalysts for recalcitrant chemicals Indeed the potential of in silicoscreening methods was demonstrated when investigating cytochromeP450-mediated metabolism of xenobiotics (Raunio et al 2015) In arecent study by Aukema and colleagues docking and molecular dy-namics simulations allowed selection of biphenyl dioxygenase fromParaburkholderia xenovorans LB400 as the best candidate enzyme formetabolizing carbamazepine one of the most commonly identified re-calcitrant pharmaceuticals in rivers (Aukema et al 2016) The ex-perimentally verified rate of carbamazepine degradation by P xeno-vorans cells was 40-times greater than the best reported rates so far

As shown in the preceding sections the available toolbox of systemsbiology metabolic engineering and protein engineering applicable forre-factoring microbes and their catabolic pathways towards more effi-cient biodegradation of waste chemicals and recalcitrant pollutants isbecoming inordinately large Even so the defined workflows standardsand universally applicable principles for strain optimization were longmissing in the field of metabolic engineering despite which the aim toengineer living systems on a rational basis remained prevalent in thecommunity This goal led metabolic engineers to adopt standards andstrategies from another closely related field of synthetic biology thatwas established primarily to program living systems with a high pre-dictability

3 Synthetic biology approaches and tools for biodegradationpathway engineering

The principal underlying thought in synthetic biology is that anyliving system can be considered a set of separate usable componentsthat can be combined by the means of biological engineering in newarrangements to alter existing features or generate new ones (deLorenzo and Danchin 2008) Such biological engineering can be sim-plified by applying principles adopted from electronic engineering andcomputer science to produce predictable robust systems (genetic con-trol systems metabolic pathways chromosomes and whole cells) withnon-natural functions (Paddon and Keasling 2014) This would beachieved through the fabrication of thoroughly characterized stan-dardized recyclable parts From its very beginnings synthetic biologyhas been confronted with the need to define its practice precisely and todevelop clear generally applicable strategies as this was the only wayto guarantee and implement engineering principles in a field as sto-chastic as biology With its tools standards and the DBTA cyclestrategy synthetic biology has contributed as has no other scientificdiscipline to rationalize metabolic engineering Its bottom-up ap-proaches and synthetic devices are being implemented to make morerobust better controllable microbial cell factories Synthetic biology

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can and to some extent already contributes the same service with itsnew concepts to the fields of biodegradation and bioremediation In thethe Section 3 we will discuss examples of beneficial inclusion of syn-thetic biology into strategies for engineering pathways and whole cellsfor biodegradation of waste and polluting chemicals and perspectivesfor these initiatives

31 Development of robust microbial chassis for biodegradation of toxicchemicals

Genetic instability and negatively affected fitness are frequentlyencountered drawbacks of the native microbial hosts tailored by me-tabolic engineering for specific biodegradation purposes Syntheticbiology offers possible solutions for these problems by implementingDNA synthesis and genome editing strategies Both curiosity and pro-spective practical applications drive synthetic biologists to generatemicrobial cells with deleted parts of their genomes that encode re-dundant cryptic or even deleterious functions Such cells endowedwith a reduced genome as foundation to house and support hetero-logous genetic parts are collectively known as chassis (Adams 2016)An extreme case of a chassis is the so-called minimal cell (Glass et al2006) Chassis can be prepared by de novo synthesis of a reduced targetgenome and its implantation into a suitable cell envelope or throughsystematic deletions of non-essential genes in the genomes of an ex-isting natural host Microarray-based oligonucleotide synthesis is cur-rently used to provide a substrate (usually 5ndash50 oligos) for constructionof larger (usually 200ndash3000 bp) synthetic fragments (Kosuri andChurch 2014) Scarless methods including the popular Gibson as-sembly uracil assembly Golden Gate technology ligase cycling reac-tion or yeast recombination are used to combine sequence-verifiedgene-length fragments in even larger complexes (Casini et al 2015)DNA synthesis also allows preparation of standardized genetic parts(promoters ribosome binding sites genes terminators and so on) withverified codon-optimized sequences Despite breakthroughs in genesynthesis and DNA assembly methods this last approach for chassisconstruction seems far more feasible at the moment considering thelesser demand of chromosome editing experiments the constantly ex-panding portfolio of genetic tools and the growing list of micro-organisms with intentionally reduced genomes (Martiacutenez-Garciacutea and de

Lorenzo 2016 Si et al 2015)Discarding non-essential cell functions shows considerable potential

not only for biosynthetic purposes (Hutchison et al 2016) but also fordesigner biodegradation and bioremediation A recent report on thesystematic deletion of 11 non-adjacent genomic regions in P putidaKT2440 (Fig 5) is a unique example of genome streamlining in apopular bacterial host with well-defined biodegradation capabilities(Martiacutenez-Garciacutea et al 2014b) In all 300 genes were eliminated thatis 43 of the entire KT2440 strain genome using the scar-less deletionprocedure based on homologous recombination after in vivo DNAcleavage by the homing Saccharomyces cerevisiae nuclease I-SceI(Martiacutenez-Garciacutea and de Lorenzo 2012) A suite of functions was tar-geted including the complete flagellar machinery whose assembly andfunction drains ATP from the cells and consumes NAD(P)H Four pro-phages two transposons and three components of DNA restriction-modification systems were also eliminated to minimize genetic in-stability The resulting strains designated P putida EM42 and EM383(the latter lacks the recA gene that encodes recombinase A) showedclearly superior growth properties and improved overall physiologicalvigour compared to wild-type KT2440 Moreover due to the higherNADPHNADP+ ratio the reduced-genome strains also better toleratedendogenous oxidative stress a property that provides a crucial ad-vantage for catalysing harsh biodegradation reactions such as aerobicdehalogenation of chlorinated pollutants (Nikel et al 2013)

Despite their reliability and robustness the procedures based onthese genome editing tools are time- and labour-intensive and re-stricted to a limited number of model microorganisms This problem isnow being challenged by new protocols that profit from the type IIbacterial Clustered Regularly Interspaced Short Palindromic Repeats(CRISPR) and CRISPR-associated protein (Cas) Multiple AutomatedGenome Editing (MAGE) and combinations thereof (Barrangou andvan Pijkeren 2016 Wang et al 2009) Nonetheless these technologiesalso suffer from some weaknesses such as generation of numerous off-target mutations The off-target problem of the CRISPR-Cas system wasrecently mitigated by engineering high-fidelity Cas9 nucleases(Kleinstiver et al 2016) In a similar manner the number of off-targetmutations during MAGE was reduced substantially when temperature-sensitive control of the endogenous methyl-directed mismatch repairsystem was introduced into the E coli host together with a dominant

Fig 4 Hypersurface plot describing the effect of catalytic efficiency (kcatKm) and enantioselectivity (E-value) of haloalkane dehalogenase DhaA on the production of glycerol in the TCPpathway The hypersurface was calculated using the mathematical model of the TCP pathway (Dvorak et al 2014b) using the constraints of Kurumbang and co-workers (Kurumbanget al 2014) Positions of four DhaA variants DhaAwt (wild type kcatKm = 70 Mminus1 sminus1 E-value = 1) DhaA r5-90R (kcatKm = 20 Mminus1 sminus1 E-value = 10) DhaA31 (kcatKm = 600 Mminus1 sminus1 E-value = 1) and hypothetical DhaAXX (kcatKm = 700 Mminus1 sminus1 E-value = 10) are indicated by red dots Note that the majority of mutations (orange spheres)introduced into DhaA r5-90R and DhaA31 are adjacent to the active site (red spheres) and to the access tunnels (in green) Hypothetical enzyme DhaAXX with 10-fold improved catalyticefficiency and 10-fold improved enantioselectivity compared to DhaAwt would enable production of 1 mM glycerol (red line) from 2 mM TCP in the culture of recombinant E coliBL21(DE3) within 24 h time interval Such glycerol concentration will be sufficient to support the cell growth Figure was adopted and modified from (Kurumbang et al 2014) (Forinterpretation of the references to colour in this figure legend the reader is referred to the web version of this article)

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negative mutator allele of the E coli mismatch repair protein MutL(Nyerges et al 2016) By placing this highly conserved allele togetherwith λ Red recombinase genes and a temperature-sensitive λ repressoron a single broad-host range plasmid Nyerges and co-workers provideda simplified MAGE variant (pORTMAGE) that allowed genome editingand mutant library generation in several biotechnologically and clini-cally relevant bacterial species with no need for prior modifications ofparental strains The recent discovery of the Ssr protein from P putidaDOT-T1E a functional homologue of the β protein of the λ Red re-combination system paved the way for oligonucleotide-mediatedmultiplex genome engineering in pseudomonads including P putidaKT2440 and its derived platform strains EM42 and EM383 (Aparicioet al 2016) Continuing facilitated reduction of their genomes (dele-tions of multiple repetitive sequences or certain proteases) and genomesof other relevant bacterial hosts will provide more reliable robustchassis for biodegradation pathway engineering

32 Development of synthetic microbial consortia for enhancedbiodegradation and bioremediation of pollutants

An alternative strategy that allows for the emergence of more robustmicrobe-based bioprocesses is just the opposite of the systematic de-velopment of bacterial chassis based on individual wild-type strainsNatural microbial consortia perform complicated biocatalytic taskssuch as lignocellulose degradation wastewater purification or in-testinal food digestion By dividing the labour and metabolic burdenthe consortium members become more flexible when facing complexenvironmental conditions Distribution of catabolic capacity amongcells of a single organism among different bacterial strains or evenamong species from different kingdoms is pivotal this is especially truefor biodegradation of complex toxic chemicals which encompassesmany steps and harmful intermediates with diverse physicochemicalproperties The idea of exploiting consortia for directed biodegradationof polluting compounds and bioremediation of contaminated sites thuslies ready to hand

Application of natural microbial consortia has already shown pro-mise for bioremediation of sites polluted with anthropogenic pesticidessuch as diclofop methyl or atrazine (Baghapour et al 2013 Wolfaardtet al 1994) Together with the new field of synthetic biology attemptsare being made to modify the structure of original natural consortia ordevelop completely new artificial organizations of co-operating mi-croorganisms For example co-culture of engineered E coli SD2 and Pputida KT2440 was used successfully to mineralize the insecticideparathion in shaken flasks and in biofilm culture (Gilbert et al 2003)In another study complete mineralization of 246-tribromophenol aflame-retardant intermediate and pesticide was achieved using an

artificial anaerobe consortium of reductive debrominator Dehalobactersp FTH1 a hydrogen supplier Clostridium sp Ma13 and the 4-chor-ophenol-degrading strain Desulfatiglans parachlorophenolica DS (Li et al2015) Recently Martiacutenez and co-workers introduced an attractive al-ternative strategy for engineering the 4S pathway (Fig 6A) a para-digmatic bioprocess for removal of the recalcitrant sulphur from aro-matic heterocycles in fuels (Martiacutenez et al 2016) The pathwayencoded by dszABCD genes converts the model compound di-benzothiophene (DBT) into sulphur-free 2-hydroxybiphenyl (2HBP)The authors initially synthesized and re-arranged the original genes andoptimized transcriptional and translational signals for P putida KT2440By dividing the pathway into three separate modules expressed in-dividually they were able to define previously unreported bottlenecksin the pathway that is the inhibitory effect of intermediate 2HBP-sulfinate (HBPS) on DszA and DszC monooxygenases and HBPS leakageinto the culture medium from which it could not be transported backinto the cells for further processing To prevent HBPS accumulationtwo P putida strains bearing dszC1-D1 or dszB1A1-D1 modules weremixed as a suspension of resting cells When the strains were combinedat a 14 ratio and added with cell-free extract containing extra DszBalmost 100 of DBT was transformed into 2HBP in assay conditions

Considerable attention is currently being dedicated to developingstrategies for biodegradation of oil and oil-derived chemicals Patowaryand co-workers designed a potent microbial consortium for prospectivedecontamination of sites exposed to polycyclic aromatic hydrocarbonsfrom crude oil (Patowary et al 2016) The authors first inspected thebiodegradative capacity for total petroleum hydrocarbons of 23 bac-terial isolates from petroleum-contaminated soils and subsequentlydesigned 14 artificial consortia based on the five most efficient isolatesThe best designer consortium comprised of two biosurfactant-produ-cing hydrocarbon-degrading strains of Bacillus pumilus and B cereusshowed up to 84 degradation of total petroleum hydrocarbons afterfive weeks as verified by gravimetric FTIR and GCMS analyses Ap-plication of natural or re-designed bacteria and their consortia alsoholds considerable promise for decomposition of oil-derived plasticwaste (Skariyachan et al 2016 Yoshida et al 2016a 2016b)

New tricks for more efficient biodegradation strategies could beadopted from inspiring current research on synthetic consortia designedto decompose and valorize lignocellulosic biomass (Minty et al 2013)Tozakidis and co-workers reported application of an engineered con-sortium of three P putida strains displaying thermophilic en-doglucanase exoglucanase or β-glucosidase for concerted hydrolysis ofcellulose at elevated temperatures (Tozakidis et al 2016) Some studiesdescribe surface display of whole designer cellulosomes ndash syntheticenzymatic nanomachines whose natural counterparts are produced bycertain cellulolytic bacteria that exploit clustered surface-attached

Fig 5 Engineered Pseudomonas putida KT2440 as a newrobust chassis for biodegradation and bioremediationMartiacutenez-Garciacutea and colleagues used in-house genomeediting tools to streamline the chromosome of Pseudomonasputida KT2440 (Martiacutenez-Garciacutea et al 2014b) Deletion of43 of the original genome gave rise to the new platformstrains EM42 and EM383 whose advantageous propertiesmake them useful chassis for engineering biodegradationpathways and other applications

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cellulases for efficient depolymerization of cellulose and hemicellulose(S Kim et al 2013 Moraiumls et al 2014) The vast majority of the workthat exploits surface display systems for whole-cell removal of en-vironmental contaminants has been restricted to individual proteinssuch as laccases methyl parathion hydrolase or triphenylmethane re-ductase (Gao et al 2014 Liu et al 2016 Yang et al 2012) It istempting to expand available surface display technologies with cellu-losome parts for the design of synthetic consortia that would catalysemore complex biodegradation reactions including polymeric substratesor toxic metabolites outside the cells

Despite their true biotechnological potential microbial consortiaremain too complex for directed long-term application either for bio-synthesis or for biodegradation It is still difficult to engineer home-ostasis and evolutionary stability in an artificial multi-cellular systemwhose behaviour becomes unpredictable with time (Escalante et al2015) Attempts to adopt principles of intercellular communication forsynthetic consortia are just at their beginnings (Hennig et al 2015Scott and Hasty 2016) Intensive co-operation of genetic engineers andevolutionary biologists with microbial ecologists and chemists willobviously be needed to derive a deeper understanding of the processesthat rule the formation and survival of natural microbial consortiaLessons learnt from nature can be implemented and combined withcompletely anthropogenic orthogonal genetic devices for more reliabledesign of stable multicellular systems

33 Development of orthogonal systems in bacteria to enhance pollutantbiodegradation and bioremediation

Orthogonal or in other words parallel independent systems1 is a key

concept in synthetic biology as long as such quality makes live systemsmore amenable to bona fide engineering Orthogonalization involveseg use of unnatural genetic codes (for example quadruplet rather thantriplet) alternative transcription-translation machineries toggleswitches and genetic circuits for assembly of novel metabolic andsignalling pathways from proteins containing non-natural amino acids(An and Chin 2009 Wang et al 2012) Such metabolic pathways couldhave new functions and would synthesize or catabolize a fresh spectrumof compounds Ideally orthogonal pathwaysmodules interact mini-mally with their natural counterparts in the host cell This improvespredictability of the component behaviour and prevents inhibitorycross-talk following introduction of the pathway or circuit into an ex-isting metabolic network (Kim and Copley 2012 Kurumbang et al2014) In an orthogonal module the input and output molecules ofgenetic circuitsmdashor enzymes and metabolites of synthetic biochemicalroutesmdashare not degraded or inactivated by side-reactions or physico-chemical conditions of the host cell While complete orthogonality isvirtually impossible in biological systems a practicable level of context-independence is indeed feasible Some examples of claimed orthogonalsystems include simple synthetic genetic circuits switches or designedmetabolic pathways These have the potential to improve function ofindividual engineered bacteria or synthetic consortia as whole-cellbiosensors and degraders of recalcitrant chemicals

Sensitivity robustness and applicability of microbial biosensors fordetecting heavy metals or halogenated hydrocarbons can be greatlyimproved by implementing orthogonal genetic devices (Bereza-Malcolm et al 2015) Thus far simple microbial biosensor designsbased on one input and two-part regulatory systems with promoter andreporter providing a coloured fluorescent bioluminescent or electricsignal prevail in the literature (Ravikumar et al 2017) Reports onmore complex multi-input systems based on Boolean logic gates are stillrare but give us a clue to future developments in the field As firstoutlined by the work of Wang et al (2016) orthogonally acting multi-

Fig 6 Examples of synthetic biology approaches applied toengineering biodegradation pathways and whole-cell de-graders (a) Martiacutenez and co-workers divided the 4Spathway for sulphur removal from aromatic heterocyclesinto two modules (dszC1-D1 and dszB1A1-D1) that wereexpressed individually in two P putida KT2440 strains toform a synthetic consortium (Martiacutenez et al 2016) Com-bining the strains at a 14 ratio and mixing them with cell-free extract from the third strain producing DszB resulted inalmost complete conversion of dibenzothiophene into sul-phur-free 2-hydroxybiphenyl in assay conditions (b) Wanget al constructed a synthetic bacterial consortium in whicheach of the two E coli strains functioned as a double inputsensor with synthetic AND gates for detecting arsenicmercury and copper ions and quorum sensing molecules(3OC6HSL Wang et al 2013) Strain 2 generated redfluorescence only in the presence of all three metal ions inculture (c) Benedetti and colleagues achieved directedtransition between planktonic and biofilm lifestyles of Pputida KT2440 by controlling cyclic di-GMP levels with anorthogonal genetic device composed of the yedQ diguany-late cyclase gene from E coli under the control of the cy-clohexanone-responsive ChnRPchnB regulatory node fromAcinetobacter johnsonii (Benedetti et al 2016) Designedcells with a synthetic operon for 1-chlorobutane biode-gradation formed inducible biofilms with higher dehalo-genase activity than free planktonic bacteria (d) Dvorakand co-workers assembled the first in vitro synthetic biode-gradation pathway for 123-trichloropropane (TCP) bycombining engineered haloalkane dehalogenase DhaA31halohydrin dehalogenase HheC and epoxide hydrolaseEchA immobilized in cross-linked enzyme aggregates(CLEAS) and polyvinyl alcohol particles (LentiKats) (Dvoraket al 2014a) The immobilized pathway converted highconcentrations of toxic TCP into glycerol in contaminatedwater for more than two months of continuous operation in

a bench-top packed bed reactor (For interpretation of the references to colour in this figure legend the reader is referred to the web version of this article)

1 The mathematical and geometrical concept of orthogonality has been adopted first bycomputing science and then by synthetic biology to signify operative independenceSystem A is orthogonal to system B if A does not influence Bmdashand vice versa

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inputmulti-output logic gates will be especially valuable for detectingmixtures of polluting chemicals (organic inorganic or both) by pro-viding a specific signal for each of the constituents (He et al 2016Wang et al 2011) Developing such biosensors is of practical im-portance as polluted environments are usually burdened with nu-merous contaminants that have diverse physicochemical propertiesThe authors engineered a set of two-input E coli-based biosensors withsynthetic AND gates using signalling sensory modules from native two-component signal transduction pathways as well as hrpR and hrpSgenes along with their HrpL promoter element from P syringae Usingthese sensors they detected arsenic mercury copper and zinc ions aswell as quorum sensing molecules in aqueous environment (Wang et al2011) The most advanced design resulted in a triple-input AND logic-gated biosensor that formed a synthetic bacterial consortium in whicheach of the two members acted as a double input sensor (Fig 6B) In thepresence of arsenic and mercury the first strain formed a quorumsensing molecule (3OC6HSL) that diffused freely into the medium andwas sensed together with Cu2+ by the second strain which provided ared fluorescent signal (Wang et al 2013) The fluorescent response wasseen only when all three metal ions were present in the culture

Reliable orthogonal devices will be crucial for engineering artificialcell-cell communication for instance taking advantage of bacterialquorum sensing systems (Hennig et al 2015 Scott and Hasty 2016)Programming the dynamics of subpopulations of synthetic consortiathat perform complex tasks will be only possible with parallel geneticcircuits and signalling molecules unknown to the host cells (Chen et al2015) As stressed by Silva-Rocha and de Lorenzo (2014) catabolicpathways for recalcitrant and xenobiotic compounds could be a reliablesource of wiring devices and molecules These pathways are frequentlyfound in specific types of organisms and metabolic crosstalk can thusbe avoided by implementing components of such networks in suitablehosts For instance aromatic molecules such as benzoate or phenol canbe used as signal inducers that are recognized by regulatory proteinsthat trigeger expression of target genes The recent determination of thecrystal structure of the sensory domain in the phenol-responsive tran-scription activator PoxR ilustrates how aromatics are sensed in bacteria(Patil et al 2016) This study paves the way for wider application ofrationally engineered transcription regulators responsive to aromaticsin the design of synthetic genetic circuits

The dynamic behaviour of the whole biodegradation pathway canalso be better studied when the route is transferred into a distant hostchassis where it acts orthogonally The orthogonal nature of the syn-thetic pathway for TCP biodegradation in the surrogate host E coliBL21 (DE3) described in Section 231 allowed a very good matchbetween in silico predicted and in vivo metabolite concentrations andprecise description of the bottlenecks (Kurumbang et al 2014) as wellas deciphering the contribution of metabolic burden and substratemetabolite toxicity to the fitness cost of TCP biotransformation bywhole-cell catalysts (Dvorak et al 2015) Despite their benefits for suchmechanistic and proof-of-concept studies laboratory E coli strainsmight not be optimally suited for the harsh conditions that accompanybiodegradation and bioremediation processes (Adams 2016 Nicolaouet al 2010) Development of reliable chassis amenable to implantationof orthogonal genetic devices is therefore desirable These new cellplatforms should be based on robust environmental strains of Pseudo-monas Rhodococcus Deinococcus and other microorganisms with broadmetabolic versatility and natural resistance to organic solvents or heavymetals (Adams 2016)

One can also take advantage of other specific properties of en-vironmental bacteria including formation of a robust biofilm As shownrecently by Benedetti and colleagues the actual physical forms ofwhole-cell biocatalysts can be mastered using orthogonal genetic parts(Fig 6C) through the so-called synthetic morphology approach (Benedettiet al 2016) Pseudomonads generate biofilms with biophysical prop-erties that depend on the species Cyclic di-GMP (c-di-GMP) is the keysignal molecule that rules the complex regulatory network mediating

the transition between planktonic cells and biofilm formation Thisfeature was exploited to design an orthogonal genetic device for ma-nipulating the native c-di-GMP biochemistry in P putida thereby con-trolling biofilm formation (Benedetti et al 2016) The E coli yedQ gene(encoding diguanylate cyclase the enzyme that synthesizes c-di-GMPfrom GTP) was placed under control of a tightly regulated cyclohex-anone-responsive expression system A synthetic operon encoding theenzymes needed for 1-chlorobutane biodegradation was also in-troduced in the engineered biofilm-forming P putida strain Upon ac-tivation of the corresponding genetic modules with appropriate in-ducers the resulting P putida biocatalyst displayed high dehalogenaseactivity in robust biofilms

The modern approaches of biological engineering accelerate thedevelopment of whole-cell biocatalysts for in situ bioremediation orbiosensing of emerging environmental pollutants Field applications ofgenetically modified microorganisms are nonetheless restricted bycurrent legislation and hindered by the unreliable behaviour of re-combinant microbes in complex fluctuating environments Syntheticbiology can help to tackle the major problems through the means de-scribed at the beginning of this chapter ie non-canonical geneticcodes and xenobiochemistry which can prevent diffusion of undesiredsequences into the environmental gene pool differentiate recombinantsfrom their natural counterparts and improve robustness and reliabilityof prepared genetic devices whole-cell degraders and biosensors Theexamples of such endeavours were recently reviewed extensively(Schmidt 2010 Schmidt and de Lorenzo 2016) These systems couldbe combined with bioluminiscence fluorescence or DNA watermarkingtechnologies to track the environmental fate of designer degraders orwith inducible suicide systems for discarding degraders once theirmission is completed (Liss et al 2012 Liu et al 2010 Paul et al2005) Yet the path to applied xenobiology is still crooked and manyethical questions remain Another concept from the portfolio of syn-thetic biology that will be discussed in the following section has thepotential to fill the time gap until we obtain reliable whole-cell catalystsand alternative solutions also acceptable for GMO critics will be pro-vided

34 Engineering microbial biodegradation pathways in vitro

The major principle of cell-free synthetic biology is that purifiedbiomolecules or components in crude cell extracts replace intact cellsfor constructing complex biomolecular systems (Hodgman and Jewett2012) To date metabolic networks that encompassgt 10 enzymeshave been reconstructed in vitro (Rollin et al 2015 Schwander et al2016) Cell-free metabolic pathways allow easy verification of bioca-talyst function determination of kinetic parameters as well as eva-luation of the network by kinetic modelling (Santacoloma et al 2011)Note however that assemby of degradative pathways in cell-free sys-tems (whether with purified enzymes or cell extracts) is not only toprototype and parametrize new routes but also for direct use in thefield (Karig 2017) Despite the drawbacks that cell-free systems cannotself-propagate that certain biomolecules can be sensitive to oxidizingenvironments and that their encapsulation and large-scale productionmight be costly these systems offer an appealing means to circumventproblems associated to GMO release to the environment Apart fromincreasing safety they offer other clear benefits For instance in vitrosystems can operate in the presence of toxins that would inhibit or killlive cells and metabolites regulators and enzymes can be produced inoptimized concentrations without interfering with cell componentsMost important for release and predictability the evolutionary oppor-tunities of such non-live agents are zero making the emergence ofunexpected properties virtually impossible

In vitro metabolic networks can suffer from suboptimal efficiencydue to the lower enzyme concentration compared to the extremelydense cell cytoplasm (Hodgman and Jewett 2012) This issue can bemitigated by enzyme immobilization and improved spatial organization

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via synthetic protein or DNA scaffolds that reduce diffusion of pathwayintermediates and promote substrate channeling (Siu et al 2015) Al-ternatively biocatalysts can be precipitated and covalently inter-connected in cross-linked enzyme aggregate particles (Sheldon 2011)this method was applied successfully to synthesize toxic nucleotideanalogues by an immobilized five-enzyme synthetic pathway (Scismand Bachmann 2010) The biochemical route described was completedwith functional ATP regeneration which demonstrates that in vitrotechnologies can cope with another possible drawback ndash limited co-factor recycling

Thus far mainly single immobilized enzymes or whole-cell bioca-talysts have been exploited in biotechnological processes intended toremove polluting chemicals such as polyethylene terephthalate 24-dinitrophenol atrazine or inorganic nitrates (Barth et al 2016Dehghanifard et al 2013 Mutlu et al 2015 Troumlgl et al 2012) In vitroassays with cell-free extracts or purified enzymes respectively helpedto identify an unknown anaerobic pathway for complete phthalatedegradation to CO2 in Thauera chlorobenzoica 3CB-1 or to decipher se-questration of the highly toxic intermediate tetrachlorobenzoquinone inpentachlorophenol degradation pathway in Sphingobium chlor-ophenolicum (Ebenau-Jehle et al 2017 Yadid et al 2013) Geuekeet al showed the benefits of an in vitro engineering approach in themodel of γ-HCH biodegradation pathway (Geueke et al 2013) Theyused a system of two purified enzymes the dehydrochlorinase LinA andthe haloalkane dehalogenase LinB which initiate biotransformation ofγ-HCH a prohibited insecticide They separately incubated five isomersthat form technical HCH (which used to be applied frequently instead ofpure γ-HCH) with various LinALinB ratios and determined metabolicprofiles of sequential biotransformations Analyses of these profileshelped determine the environmental fate of HCH isomers and showedthat the original HCH degradation pathway is optimized by evolutionfor γ-HCH but not for other isomers that co-pollute contaminated sites

The first report of in vitro assembly of a fully functional syntheticbiodegradation pathway was published by Dvorak and co-workers(Dvorak et al 2014a) The authors adopted the cell-free strategy usingimmobilized engineered haloalkane dehalogenase DhaA31 halohydrindehalogenase HheC and epoxide hydrolase EchA for TCP bio-transformation to harmless valuable glycerol in contaminated water(Fig 6D) The practical utility of bacterial recombinants that mineralizeTCP (desccribed in Sections 231 and 232) is limited by substratetoxicity and by legislative barriers on the application of GMO(Kurumbang et al 2014 Samin et al 2014) Probing the function ofthe pathway in in vitro conditions therefore lied ready to hand Theauthors successfully immobilized the pathway in the form of purifiedenzymes or cell-free extracts in cross-linked enzyme aggregates andlens-shaped polyvinyl alcohol particles The immobilized pathwayshowed almost the same efficiency of TCP-to-glycerol conversion asmixture of free enzymes Physicochemical properties of polyvinyl al-cohol lentils allowed recovery from the reaction mixture and recyclingof the pathway In addition the immobilized enzymes retainedgt 50of their initial activities for over 2 months of continuous operation in abench-top packed bed reactor The study indicated that the im-mobilized route removes TCP from heavily contaminated water with apollutant concentration (~1 gL) that would be detrimental to theliving degraders One can anticipate that such conversions of toxic TCPto useful glycerol could even pave the way for prospective valorizationof this waste chemical

Although this biotechnology requires further validation and tuningthe work showed that in vitro assembly of natural or synthetic enzy-matic pathways with engineered enzymes is a promising concept for thebiodegradation of polluting compounds and toxic industrial wasteproducts Transport of such pathways via non-live carriers is relatedconceptually to efforts to produce and release complex therapeuticagents for human use In both cases their application demands thedevelopment of a sort of environmental Galenic science that enablessupply of the engineered biological remedy when and where needed

4 Towards planet-wide bioremediation interventions CO2

capture as a large-scale challenge

Environmental deterioration due to emissions of recalcitrant che-micals seems to pale when compared to the problem of global warmingcaused by the release of greenhouse gases that originate in human ac-tivities The bulk of these gases comprise four natural molecules carbondioxide (CO2) methane (CH4) nitrous oxide (N2O) and ozone (O3) aswell as one class of xenobiotics the chlorofluorocarbons or CFC Giventhe diluted aereal and global nature of this problem the strategiescontemplated for tackling these chemical species differ considerablyfrom those that centre on site-specific pollution issues Most proposalsthus far focus much more on reducing emissions than on capture andreturning to innocuous chemical or mineral forms All these compoundshave their own natural biogeochemical cycle and in theory simplyreducing their input into the biosphere should restore the originalequilibrium (Rockstroumlm et al 2017) Recent ecological thought none-theless postulates that the impact of climate change in many ecosystemsis already irreversible by natural means and call for large-scale inter-ventions that could help to resolve this impasse (de Lorenzo et al2016) In this case what types of options could be considered from asystemic biology perspective

Some incipient attempts have appeared recently mostly in the fieldof engineering bacteria with a greater capacity for non-photosyntheticfixing of CO2 (Erb and Zarzycki 2016) One option is to use the sixalternative pathways of autotrophic carbon fixation known in nature(Fuchs 2011 Hicks et al 2017) as a starting point to optimize suchnatural processes Another possibilty is the invention of new routes byrewiring or modifying existing enzymes in a new configuration A re-markable example of this solution is the work of Antonovsky et al(2016) who showed that combining metabolic rewiring recombinantprotein expression and laboratory evolution enables the production ofsugars and other biomass constituents by a fully functional Calvin-Benson-Bassham (CBB) cycle in E coli In the bacteria designed in thisway carbon is fixed via a refactored CBB cycle whereas reducingpower and energy are derived from pyruvate oxidation (Fig 7) It isinteresting to note how evolutionary approaches adjust fluxes andgenerate connections between the designed CBB cycle and the hostbiochemical network that cannot be predicted or designed

A separate approach was recently developed by Schwander et al(2016) who developed a synthetic route for continuous CO2 fixation invitro by composing a cycle formed of 17 enzymes that convert CO2 intoorganic molecules The cycle was draughted by metabolic retro-synthesis with enzymes from nine organisms from three domains of lifefurther optimized through rounds of protein engineering and metabolicproofreading Although this completely designed pathway has not yetbeen implemented in vivo (eg in a bacterial carrier) it is a question oftime until it is done and propagated throughout an entire microbialcommunity (de Lorenzo et al 2016)

Finally todays systemic approaches enable the invention of en-zymes from scratch through de novo protein design followed by directedevolution which opens perspectives for improving the natural state ofaffairs regarding fixation of CO2 (and other greenhouse gases) as well asvalorization of this waste as biotechnological feedstocks (Huang et al2016 Renata et al 2015) A separate matter is the large-scale de-ployment of the microbial agents for CO2 retrieval Existing technologyallows their implementation in biofilters and bioreactors that captureemissions at source But how can we spread such desirable catalyticproperties at a very large even at planetary level to make a differenceSuch technologies are not yet availablemdashlet alone that they raise a largenumber of safety questions But they must necessarily be developed ifwe are not just to control greenhouse gas discharges but also aim attheir eventual reduction to pre-industrial levels (de Lorenzo et al2016)

Unfortunately greenhouse gases are not the only globally wide-spread molecules to be concerned about Much before global warming

P Dvořaacutek et al Biotechnology Advances 35 (2017) 845ndash866

859

associated to CO2 emissions became so conspicuous widespread pol-lution by endocrine disruptors (eg alkylphenols bisphenols DDTPCBs polybrominated diphenyl ethers phthalates and per-fluorooctanoic acid) was well documented Moreover other silent pol-lutants originate in the pharmaceutical industry eg antibiotics(Marathe et al 2017) and hormones They end up in a large variety ofecosystems in a diluted but still active form Finally plastics (egpolycarbonate polystyrene polyethylene terephthalate lowhigh-density polyethylene polypropylene and polyvinyl chloride) are cur-rently receiving a considerable focus as a major environmental pro-blem A number of microbial strains able to totally or partially act uponthese compounds have been isolated (see above) but in general thebiodegradation process is very slow The global nature of these types ofpollution thus requires the development of new efficient microbialpathways for their elimination quite a challenge for contemporarysynthetic biologists and metabolic engineers (de Lorenzo 2017)Butmdashas is the case for CO2 capture mentioned abovemdashpathways andhosts able to deploy them are not enough Effective strategies for globaldispersion of biodegradative activities of interest are badly nee-dedmdashperhaps inspired in gene drives or some type of self-propagatingmassive horizontal gene transfer (de Lorenzo et al 2016)

5 Conclusions and perspectives

The practical examples described in the preceding sections showthat technologies of systemic biology offer promise not only for therenaissance of bioremediation using anthropogenically enhanced mi-crobial degraders but also for entry to the new era of Bioremediation30 The bottlenecks described at the beginning of this text are one byone being released or removed with the help of new computational andexperimental tools Databases and pathway prediction systems help the

user to select suitable chemically and energetically feasible traits fordesired tasks Multi-omic analyses provide valuable information thatfacilitates choice of a suitable host Genome-scale and kinetic modelsapplied hand-in-hand with genetic engineering techniques enable tai-loring of gene expression reduction of metabolic burden and pathwayoptimization in the context of host metabolism The visionary conceptsof synthetic biology and global scale CO2 bioremediation open up newdimensions for engineering microbial degraders General work schemesand standards for design building and fine-tuning of selected bio-chemical routes networks and whole-cell biocatalysts are simulta-neously becoming better defined and accepted by the community

Despite the clear progress over the last decade of biochemical andbiological engineering the vast complexity of the living cell remainsthe major hurdle for any attempt for fully rational pathway design Inthe case of biosensing and biodegradation pathway design and pro-spective applications of the genetically-modified microbes this problemis exacerbated by the complexity of intercellular and interspecific in-teractions and by the still poorly understood interplay between thebiotic and abiotic factors that govern contaminant biodegradation inpolluted ecosystems (de Lorenzo 2008 Meckenstock et al 2015) Weassume that in principle there are two ways to address this challengenow and in future

The first admits that complexity of biological systems will not beresolved anytime soon and thus bets on combining rational designs withnatural evolution at the end of the DBTA cycle thus expanding it toDBTAE (Design-Build-Test-Analyze-Evolve) Adaptive laboratory evo-lution (ALE) is a high calibre tool of this approach ALE is now frequentlyused by academic and industrial laboratories to evolve desired prop-erties in environmental bacteria and for fine-tuning recombinant mi-croorganisms but its principles have been well known since the time ofthe very first attempts to modify microbial phenotypes (Kellogg et al

Fig 7 Hemiautotrophic growth of engineered E coli al-lowed by decoupling energy production and carbon fixa-tion The hemiautotrophic growth was observed after per-forming three distinct steps (i) Calvin-Benson-Bassham(CBB) cycle for the biosynthesis of sugars from CO2 wascompleted by introducing only two exogenous enzymaticactivities phosphoribulokinase (prkA) and RuBisCO (ii)phosphoglycerate mutase genes gpmA and gpmM were de-leted to separate central metabolism into two sub-systemsie a CO2-fixing part that included PrkA RuBisCO upperglycolysis and the pentose phosphate pathway and an en-ergy-supplying module that employed lower glycolysis andthe TCA cycle (iii) the engineered strain bearing furthermutations (ΔpfkA ΔpfkB Δzwf) was exposed to the strongselective pressure towards greater carbon fixation in xylose-limited chemostat with a surplus pyruvate and CO2Emerged mutations made designed CBB cycle functionaland the hemiautotrophic strain that replaced utilisation ofxylose with CO2 fixation dominated the populationFigure adapted from Antonovsky et al (2016)

P Dvořaacutek et al Biotechnology Advances 35 (2017) 845ndash866

860

1981) In biodegradation research exposing microorganisms with de-sirable catabolic traits to the target chemical(s) for prolonged intervalsin chemostat or shaken-flask cultures enabled isolation of bacteria ableto use persistent compounds such as 245-trichlorophenoxyacetic acid(the defoliating Agent Orange) or helped improve atrazine degradationrates by Pseudomonas sp ADP or 24-dichlorophenoxyacetic by Ral-stonia sp TFD41 (Devers et al 2008 Kellogg et al 1981 Nakatsuet al 1998) Nonetheless the potential of ALE in engineering microbialdegraders has yet not been fully exploited ALE will be an ideal tool forempowering rationally pre-designed recombinants with resistance todiverse environmental stresses encountered in directed biodegradationprocesses or in polluted ecosystems (Nicolaou et al 2010 Oide et al2015 Wang et al 2016) When combined with whole-genome se-quencing and reverse engineering ALE as an evolutionary ldquoblindrdquo ap-proach can paradoxically contribute to further rationalizing the field byexposing otherwise unpredictable complex changes in multitrait phe-notypes

The second approach bets on technology without compromise andwill take advantage of continuing technological revolution in biologyand related sciences We recently witnessed the attempt of syntheticbiologists to implement automation as we know it from electronic en-gineering in the design of orthogonal genetic circuits that would co-ordinate the actions of selected microbial chassis (Nielsen et al 2016)The genetic ldquogutsrdquo and pathway enzymes of the chassis can be designedand synthesized de novo or be tailored rapidly with surgical precisionusing new genome editing and protein engineering tools (Huang et al2016 Hutchison et al 2016 Nyerges et al 2016 Ran et al 2013Renata et al 2015) Although the circuit design tools still work pre-dominantly with simple logic gates the robustness and utility of theavailable minimal cells is limited and de novo-designed enzymes havelow activity we can assume that the efficiency reliability and timedemand of such exercises will be further improved by progress incomputer science and artificial intelligence development that couldcrack the complexity of life A purely technological approach wouldomit any unknowns from the DBTA cycle with help of reliable com-putational simulations thus expanding it to DSBTA (Design-Simulate-Build-Test-Analyze) and providing space for construction of whole-cellcatalysts perfectly tailored for specific biodegradation tasks

The challenges of both approaches applied to directed in situ bior-emediation encompass the development of test schemes that will ex-pose engineered organisms to mimicked environmental conditions in-cluding limiting carbon sources lack of oxygen or redox recycling masstransfer perturbations or interspecific predation (Meckenstock et al2015) A critical issue will be the choice and establishment of newchassis organisms better suited to field biotransformations than thecurrently available laboratory strains in terms of resistance to harshconditions including extreme pH temperature osmotic pressure orfluctuating concentrations of toxic chemicals (Adams 2016) Thesenew strains must simultaneously be reliable amenable to genetic ma-nipulation have mapped genomes and ideally metabolic models athand The in situ bioremediation quests will be complicated by thevarying nature of polluting compounds their mixtures and transfor-mation products all of which can be present at a single site (Sarigiannisand Hansen 2012) Future microbial degraders must therefore be de-signed to cope with several problem compounds in parallel and notonly in terms of degradation or mineralization The succesful conver-sion of dangerous contaminants into usable molecules that can be fur-ther valorized by whole-cell or cell-free biocatalysts is a desirablestarting point for the development of new technologies that extendstandard concepts of biodegradation and bioremediation (Dvorak et al2014a Wigginton et al 2012) Microbe-driven trash-to-treasure con-versions are known from established biomass valorization processesbut this concept can also be implemented in wastewater treatmentmetal and plastic recycling or in direct valorization of industrial by-product streams or captured greenhouse gases (Bornscheuer 2016Koutinas et al 2014 Nancharaiah et al 2016 Wierckx et al 2015)

Even so the major challenge to the entire field of engineered de-graders is not related to continued progress in the development of im-proved technologies which is inevitable but rather to the dissemina-tion and popularization of achievements already attained Publicenvironmental concerns and regulatory constraints have not just re-stricted field tests of genetically modified microbes but also affect thequality of fundamental research and by the same token overall pro-gress in the field The exercises described in this review will only have achance to become real enterprises if the general population is inspiredby biotechnology and accepts it as an inseparable part of our dailyroutine as it did for information technology The new systemic dis-ciplines that make life less puzzling as well as emerging do-it-yourselfmovement in biotechnology can undoubtedly contribute to a generalchange of attitude (de Lorenzo and Schmidt 2017) Such change isvital because our ability to minimize production of waste and pollutingchemicals remove existing waste or use it in bioprocesses to formvalue-added compounds will shape the fate of our society on a globalscale

Acknowledgements

PD is the holder of the Marie Sklodowska-Curie grant No 704410(FUTURE) The work in Authors Laboratory was funded by theCAMBIOS Project of the Spanish Ministry of Economy andCompetitiveness RTC-2014-1777-3 (MINECO) HELIOS Project of theSpanish Ministry of Economy and Competitiveness BIO 2015-66960-C3-2-R (MINECOFEDER) and the ARISYS (ERC-2012-ADG-322797)EmPowerPutida (EU-H2020-BIOTEC-2014-2015-6335536) andRaft4Biotech (720776) contracts of the European Union JD is sup-ported also by the Czech Ministry of Education (LQ1605 LO1214LM2015055) and Czech Grant Agency (GA16-06096S) The financialsupport of The Novo Nordisk Foundation to PIN is also gratefully ac-knowledged

References

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Chowdhury A Zomorrodi AR Maranas CD 2014 k-OptForce integrating kineticswith flux balance analysis for strain design PLoS Comput Biol 10 e1003487 httpdxdoiorg101371journalpcbi1003487

Chowdhury A Khodayari A Maranas CD 2015 Improving prediction fidelity ofcellular metabolism with kinetic descriptions Curr Opin Biotechnol 36 57ndash64httpdxdoiorg101016jcopbio201508011

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Dai Z Nielsen J 2015 Advancing metabolic engineering through systems biology ofindustrial microorganisms Curr Opin Biotechnol 36 8ndash15 httpdxdoiorg101016jcopbio201508006

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de la Pentildea Mattozzi M Tehara SK Hong T Keasling JD 2006 Mineralization ofparaoxon and its use as a sole C and P source by a rationally designed catabolicpathway in Pseudomonas putida Appl Environ Microbiol 72 6699ndash6706 httpdxdoiorg101128AEM00907-06

de Lorenzo V 2008 Systems biology approaches to bioremediation Curr OpinBiotechnol 19 579ndash589 httpdxdoiorg101016jcopbio200810004

de Lorenzo V 2009 Recombinant bacteria for environmental release what went wrongand what we have learnt from it Clin Microbiol Infect 15 (Suppl 1) 63ndash65 httpdxdoiorg101111j1469-0691200802683x

de Lorenzo V 2017 Seven microbial bio-processes to help the planet EnvironMicrobiol httponlinelibrarywileycomdoi1011111751-791512816full

de Lorenzo V Danchin A 2008 Synthetic biology discovering new worlds and newwords EMBO Rep 9 822ndash827 httpdxdoiorg101038embor2008159

de Lorenzo V Schmidt M 2017 The do-it-yourself movement as a source of innovationin biotechnology - and much more Microb Biotechnol 10 517ndash519 httpdxdoiorg1011111751-791512715

de Lorenzo V Marliegravere P Soleacute R 2016 Bioremediation at a global scale from the testtube to planet Earth Microb Biotechnol 9 618ndash625 httpdxdoiorg1011111751-791512399

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Doumlrr M Fibinger MPC Last D Schmidt S Santos-Aberturas J Boumlttcher DHummel A Vickers C Voss M Bornscheuer UT 2016 Fully automatized high-throughput enzyme library screening using a robotic platform Biotechnol Bioeng113 1421ndash1432 httpdxdoiorg101002bit25925

Dvorak P Bidmanova S Damborsky J Prokop Z 2014a Immobilized syntheticpathway for biodegradation of toxic recalcitrant pollutant 123-trichloropropaneEnviron Sci Technol 48 6859ndash6866 httpdxdoiorg101021es500396r

Dvorak P Kurumbang NP Bendl J Brezovsky J Prokop Z Damborsky J 2014bMaximizing the efficiency of multienzyme process by stoichiometry optimizationChembiochem Eur J Chem Biol 15 1891ndash1895 httpdxdoiorg101002cbic201402265

Dvorak P Chrast L Nikel PI Fedr R Soucek K Sedlackova M Chaloupkova Rde Lorenzo V Prokop Z Damborsky J 2015 Exacerbation of substrate toxicity byIPTG in Escherichia coli BL21(DE3) carrying a synthetic metabolic pathway MicrobCell Factories 14 201 httpdxdoiorg101186s12934-015-0393-3

Ebenau-Jehle C Mergelsberg M Fischer S Bruumlls T Jehmlich N von Bergen MBoll M 2017 An unusual strategy for the anoxic biodegradation of phthalate ISMEJ 11 224ndash236 httpdxdoiorg101038ismej201691

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2003 Methods for reliability and uncertainty assessment and for applicability eva-luations of classification- and regression-based QSARs Environ Health Perspect 1111361ndash1375

Escalante AE Rebolleda-Goacutemez M Beniacutetez M Travisano M 2015 Ecological per-spectives on synthetic biology insights from microbial population biology FrontMicrobiol 6 143 httpdxdoiorg103389fmicb201500143

Fernaacutendez-Aacutelvaro E Snajdrova R Jochens H Davids T Boumlttcher D BornscheuerUT 2011 A combination of in vivo selection and cell sorting for the identification ofenantioselective biocatalysts Angew Chem Int Ed Eng 50 8584ndash8587 httpdxdoiorg101002anie201102360

Fibinger MPC Davids T Boumlttcher D Bornscheuer UT 2015 A selection assay forhaloalkane dehalogenase activity based on toxic substrates Appl MicrobiolBiotechnol 99 8955ndash8962 httpdxdoiorg101007s00253-015-6686-y

Finley SD Broadbelt LJ Hatzimanikatis V 2009 Computational framework forpredictive biodegradation Biotechnol Bioeng 104 1086ndash1097 httpdxdoiorg101002bit22489

Finley SD Broadbelt LJ Hatzimanikatis V 2010 In silico feasibility of novel bio-degradation pathways for 124-trichlorobenzene BMC Syst Biol 4 7 httpdxdoiorg1011861752-0509-4-7

Francis CW Mankin JB 1977 High nitrate denitrification in continuous flow-stirredreactors Water Res 11 httpdxdoiorg1010160043-1354(77)90061-6

Fuchs G 2011 Alternative pathways of carbon dioxide fixation insights into the earlyevolution of life Annu Rev Microbiol 65 631ndash658 httpdxdoiorg101146annurev-micro-090110-102801

Gao J Ellis LBM Wackett LP 2010 The University of Minnesota BiocatalysisBiodegradation Database improving public access Nucleic Acids Res 38 D488ndash491httpdxdoiorg101093nargkp771

Gao F Ding H Feng Z Liu D Zhao Y 2014 Functional display of triphenylmethanereductase for dye removal on the surface of Escherichia coli using N-terminal domainof ice nucleation protein Bioresour Technol 169 181ndash187 httpdxdoiorg101016jbiortech201406093

Geueke B Garg N Ghosh S Fleischmann T Holliger C Lal R Kohler H-PE2013 Metabolomics of hexachlorocyclohexane (HCH) transformation ratio of LinAto LinB determines metabolic fate of HCH isomers Environ Microbiol 151040ndash1049 httpdxdoiorg1011111462-292012009

Gilbert ES Walker AW Keasling JD 2003 A constructed microbial consortium forbiodegradation of the organophosphorus insecticide parathion Appl MicrobiolBiotechnol 61 77ndash81 httpdxdoiorg101007s00253-002-1203-5

Glass JI Assad-Garcia N Alperovich N Yooseph S Lewis MR Maruf MHutchison CA Smith HO Venter JC 2006 Essential genes of a minimal bac-terium Proc Natl Acad Sci U S A 103 425ndash430 httpdxdoiorg101073pnas0510013103

Glick BR 1995 Metabolic load and heterologous gene expression Biotechnol Adv 13247ndash261

Guazzaroni M-E Herbst F-A Lores I Tamames J Pelaacuteez AI Loacutepez-Corteacutes NAlcaide M Del Pozo MV Vieites JM von Bergen M Gallego JLR BargielaR Loacutepez-Loacutepez A Pieper DH Rosselloacute-Moacutera R Saacutenchez J Seifert J FerrerM 2013 Metaproteogenomic insights beyond bacterial response to naphthaleneexposure and bio-stimulation ISME J 7 122ndash136 httpdxdoiorg101038ismej201282

Gredell JA Frei CS Cirino PC 2012 Protein and RNA engineering to customizemicrobial molecular reporting Biotechnol J 7 477ndash499 httponlinelibrarywileycomdoi101002biot201100266full

Gutierrez T Singleton DR Berry D Yang T Aitken MD Teske A 2013Hydrocarbon-degrading bacteria enriched by the Deepwater Horizon oil spill iden-tified by cultivation and DNA-SIP ISME J 7 2091ndash2104 httpdxdoiorg101038ismej201398

Hadadi N Hafner J Shajkofci A Zisaki A Hatzimanikatis V 2016 ATLAS ofbiochemistry a repository of all possible biochemical reactions for synthetic biologyand metabolic engineering studies ACS Synth Biol 5 1155ndash1166 httpdxdoiorg101021acssynbio6b00054

Haro MA de Lorenzo V 2001 Metabolic engineering of bacteria for environmentalapplications construction of Pseudomonas strains for biodegradation of 2-chlor-otoluene J Biotechnol 85 103ndash113

Hatzimanikatis V Li C Ionita JA Henry CS Jankowski MD Broadbelt LJ2005 Exploring the diversity of complex metabolic networks Bioinforma Oxf Engl21 1603ndash1609 httpdxdoiorg101093bioinformaticsbti213

He W Yuan S Zhong W-H Siddikee MA Dai C-C 2016 Application of geneti-cally engineered microbial whole-cell biosensors for combined chemosensing ApplMicrobiol Biotechnol 100 1109ndash1119 httpdxdoiorg101007s00253-015-7160-6

Hennig S Roumldel G Ostermann K 2015 Artificial cell-cell communication as anemerging tool in synthetic biology applications J Biol Eng 9 13 httpdxdoiorg101186s13036-015-0011-2

Hicks N Vik U Taylor P Ladoukakis E Park J Kolisis F Jakobsen KS 2017Using prokaryotes for carbon capture storage Trends Biotechnol 35 22ndash32 httpdxdoiorg101016jtibtech201606011

Hodgman CE Jewett MC 2012 Cell-free synthetic biology thinking outside the cellMetab Eng 14 261ndash269 httpdxdoiorg101016jymben201109002

Huang P-S Boyken SE Baker D 2016 The coming of age of de novo protein designNature 537 320ndash327 httpdxdoiorg101038nature19946

Hutchison CA Chuang R-Y Noskov VN Assad-Garcia N Deerinck TJ EllismanMH Gill J Kannan K Karas BJ Ma L Pelletier JF Qi Z-Q Richter RAStrychalski EA Sun L Suzuki Y Tsvetanova B Wise KS Smith HO GlassJI Merryman C Gibson DG Venter JC 2016 Design and synthesis of aminimal bacterial genome Science 351 aad6253 httpdxdoiorg101126

scienceaad6253Iwakiri R Yoshihira K Ngadiman Null Futagami T Goto M Furukawa K 2004

Total degradation of pentachloroethane by an engineered Alcaligenes strain expres-sing a modified camphor monooxygenase and a hybrid dioxygenase BiosciBiotechnol Biochem 68 1353ndash1356 httpdxdoiorg101271bbb681353

Izallalen M Mahadevan R Burgard A Postier B Didonato R Sun J SchillingCH Lovley DR 2008 Geobacter sulfurreducens strain engineered for increasedrates of respiration Metab Eng 10 267ndash275 httpdxdoiorg101016jymben200806005

Janssen DB Dinkla IJT Poelarends GJ Terpstra P 2005 Bacterial degradation ofxenobiotic compounds evolution and distribution of novel enzyme activitiesEnviron Microbiol 7 1868ndash1882 httpdxdoiorg101111j1462-2920200500966x

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Karig DK 2017 Cell-free synthetic biology for environmental sensing and remediationCurr Opin Biotechnol 45 69ndash75 httpdxdoiorg101016jcopbio201701010

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Khersonsky O Tawfik DS 2010 Enzyme promiscuity a mechanistic and evolutionaryperspective Annu Rev Biochem 79 471ndash505 httpdxdoiorg101146annurev-biochem-030409-143718

Kim J Copley SD 2012 Inhibitory cross-talk upon introduction of a new metabolicpathway into an existing metabolic network Proc Natl Acad Sci U S A 109E2856ndash2864 httpdxdoiorg101073pnas1208509109

Kim S Baek S-H Lee K Hahn J-S 2013a Cellulosic ethanol production using ayeast consortium displaying a minicellulosome and β-glucosidase Microb CellFactories 12 14 httpdxdoiorg1011861475-2859-12-14

Kim J Oliveros JC Nikel PI de Lorenzo V Silva-Rocha R 2013b Transcriptomicfingerprinting of Pseudomonas putida under alternative physiological regimesEnviron Microbiol Rep 5 883ndash891 httpdxdoiorg1011111758-222912090

Kim S Thiessen PA Bolton EE Chen J Fu G Gindulyte A Han L He J He SShoemaker BA Wang J Yu B Zhang J Bryant SH 2016 PubChem substanceand compound databases Nucleic Acids Res 44 D1202ndash1213 httpdxdoiorg101093nargkv951

King ZA Lloyd CJ Feist AM Palsson BO 2015 Next-generation genome-scalemodels for metabolic engineering Curr Opin Biotechnol 35 23ndash29 httpdxdoiorg101016jcopbio201412016

Kleinstiver BP Pattanayak V Prew MS Tsai SQ Nguyen NT Zheng Z JoungJK 2016 High-fidelity CRISPR-Cas9 nucleases with no detectable genome-wide off-target effects Nature 529 490ndash495 httpdxdoiorg101038nature16526

Kosuri S Church GM 2014 Large-scale de novo DNA synthesis technologies andapplications Nat Methods 11 499ndash507 httpdxdoiorg101038nmeth2918

Koutinas AA Vlysidis A Pleissner D Kopsahelis N Lopez Garcia I Kookos IKPapanikolaou S Kwan TH Lin CSK 2014 Valorization of industrial waste andby-product streams via fermentation for the production of chemicals and biopoly-mers Chem Soc Rev 43 2587ndash2627 httpdxdoiorg101039c3cs60293a

Krewski D Andersen ME Mantus E Zeise L 2009 Toxicity testing in the 21stcentury implications for human health risk assessment Risk Anal 29 474ndash479httpdxdoiorg101111j1539-6924200801150x

Kube M Chernikova TN Al-Ramahi Y Beloqui A Lopez-Cortez N Guazzaroni M-E Heipieper HJ Klages S Kotsyurbenko OR Langer I Nechitaylo TYLuumlnsdorf H Fernaacutendez M Juaacuterez S Ciordia S Singer A Kagan O Egorova OPetit PA Stogios P Kim Y Tchigvintsev A Flick R Denaro R Genovese MAlbar JP Reva ON Martiacutenez-Gomariz M Tran H Ferrer M Savchenko AYakunin AF Yakimov MM Golyshina OV Reinhardt R Golyshin PN 2013Genome sequence and functional genomic analysis of the oil-degrading bacteriumOleispira antarctica Nat Commun 4 2156 httpdxdoiorg101038ncomms3156

Kuipers RK Joosten H-J van Berkel WJH Leferink NGH Rooijen E IttmannE van Zimmeren F Jochens H Bornscheuer U Vriend G dos Santos VAPMSchaap PJ 2010 3DM systematic analysis of heterogeneous superfamily data todiscover protein functionalities Proteins 78 2101ndash2113 httpdxdoiorg101002prot22725

Kurumbang NP Dvorak P Bendl J Brezovsky J Prokop Z Damborsky J 2014Computer-assisted engineering of the synthetic pathway for biodegradation of a toxicpersistent pollutant ACS Synth Biol 3 172ndash181 httpdxdoiorg101021sb400147n

Latino DARS Wicker J Guumltlein M Schmid E Kramer S Fenner K 2017 Eawag-Soil in enviPath a new resource for exploring regulatory pesticide soil biodegrada-tion pathways and half-life data Environ Sci Processes Impacts 19 449ndash464httpdxdoiorg101039c6em00697c

Lee J Cao L Ow SY Barrios-Llerena ME Chen W Wood TK Wright PC 2006Proteome changes after metabolic engineering to enhance aerobic mineralization ofcis‑12-dichloroethylene J Proteome Res 5 1388ndash1397 httpdxdoiorg101021pr060008t

Lee JW Na D Park JM Lee J Choi S Lee SY 2012 Systems metabolic en-gineering of microorganisms for natural and non-natural chemicals Nat Chem Biol8 536ndash546 httpdxdoiorg101038nchembio970

Lehrbach PR Zeyer J Reineke W Knackmuss HJ Timmis KN 1984 Enzymerecruitment in vitro use of cloned genes to extend the range of haloaromatics de-graded by Pseudomonas sp strain B13 J Bacteriol 158 1025ndash1032

Li G-Q Ma T Li S-S Li H Liang F-L Liu R-L 2007 Improvement of di-benzothiophene desulfurization activity by removing the gene overlap in the dsz

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863

operon Biosci Biotechnol Biochem 71 849ndash854 httpdxdoiorg101271bbb60189

Li Z Yoshida N Wang A Nan J Liang B Zhang C Zhang D Suzuki D Zhou XXiao Z Katayama A 2015 Anaerobic mineralization of 246-tribromophenol toCO2 by a synthetic microbial community comprising Clostridium Dehalobacter andDesulfatiglans Bioresour Technol 176 225ndash232 httpdxdoiorg101016jbiortech201410097

Libis V Deleacutepine B Faulon J-L 2016 Expanding biosensing abilities through com-puter-aided design of metabolic pathways ACS Synth Biol 5 1076ndash1085 httpdxdoiorg101021acssynbio5b00225

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Liu J Tan L Wang J Wang Z Ni H Li L 2016 Complete biodegradation ofchlorpyrifos by engineered Pseudomonas putida cells expressing surface-immobilizedlaccases Chemosphere 157 200ndash207 httpdxdoiorg101016jchemosphere201605031

Loeschcke A Markert A Wilhelm S Wirtz A Rosenau F Jaeger K-E Drepper T2013 TREX a universal tool for the transfer and expression of biosynthetic pathwaysin bacteria ACS Synth Biol 2 22ndash33 httpdxdoiorg101021sb3000657

Long MR Ong WK Reed JL 2015 Computational methods in metabolic en-gineering for strain design Curr Opin Biotechnol 34 135ndash141 httpdxdoiorg101016jcopbio201412019

Lorenzo V Loza-Tavera H 2011 Microbial bioremediation of chemical pollutants howbacteria cope with multi-stress environmental scenarios In Storz G Hengge R(Eds) Bacterial Stress Responses Second edition ASM Press Washington DC pp481ndash492 httpdxdoiorg1011289781555816841ch30

Lovley DR Phillips EJP Gorby YA Landa ER 1991 Microbial reduction of ur-anium Nature 350 413ndash416 httpdxdoiorg101038350413a0

Lykidis A Peacuterez-Pantoja D Ledger T Mavromatis K Anderson IJ Ivanova NNHooper SD Lapidus A Lucas S Gonzaacutelez B Kyrpides NC 2010 The completemultipartite genome sequence of Cupriavidus necator JMP134 a versatile pollutantdegrader PLoS One 5 e9729 httpdxdoiorg101371journalpone0009729

Marathe NP Pal C Gaikwad SS Jonsson V Kristiansson E Larsson DGJ 2017Untreated urban waste contaminates Indian river sediments with resistance genes tolast resort antibiotics Water Res 124 388ndash397 httpdxdoiorg101016jwatres201707060

Martiacutenez I Mohamed ME-S Rozas D Garciacutea JL Diacuteaz E 2016 Engineering syn-thetic bacterial consortia for enhanced desulfurization and revalorization of oil sulfurcompounds Metab Eng 35 46ndash54 httpdxdoiorg101016jymben201601005

Martiacutenez-Garciacutea E de Lorenzo V 2012 Transposon-based and plasmid-based genetictools for editing genomes of gram-negative bacteria Methods Mol Biol 813267ndash283 (Clifton NJ) httpdxdoiorg101007978-1-61779-412-4_16

Martiacutenez-Garciacutea E de Lorenzo V 2016 The quest for the minimal bacterial genomeCurr Opin Biotechnol 42 216ndash224 httpdxdoiorg101016jcopbio201609001

Martiacutenez-Garciacutea E Aparicio T de Lorenzo V Nikel PI 2014a New transposon toolstailored for metabolic engineering of gram-negative microbial cell factories FrontBioeng Biotechnol 2 46 httpdxdoiorg103389fbioe201400046

Martiacutenez-Garciacutea E Nikel PI Aparicio T de Lorenzo V 2014b Pseudomonas 20genetic upgrading of P putida KT2440 as an enhanced host for heterologous geneexpression Microb Cell Factories 13 159 httpdxdoiorg101186s12934-014-0159-3

Martiacutenez-Garciacutea E Aparicio T Gontildei-Moreno A Fraile S de Lorenzo V 2015 SEVA20 an update of the Standard European Vector Architecture for de-re-constructionof bacterial functionalities Nucleic Acids Res 43 D1183ndash1189 httpdxdoiorg101093nargku1114

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Medema MH van Raaphorst R Takano E Breitling R 2012 Computational tools forthe synthetic design of biochemical pathways Nat Rev Microbiol 10 191ndash202httpdxdoiorg101038nrmicro2717

Mendes P Hoops S Sahle S Gauges R Dada J Kummer U 2009 Computationalmodeling of biochemical networks using COPASI Methods Mol Biol 500 17ndash59(Clifton NJ) httpdxdoiorg101007978-1-59745-525-1_2

Minty JJ Singer ME Scholz SA Bae C-H Ahn J-H Foster CE Liao JC LinXN 2013 Design and characterization of synthetic fungal-bacterial consortia fordirect production of isobutanol from cellulosic biomass Proc Natl Acad Sci U S A110 14592ndash14597 httpdxdoiorg101073pnas1218447110

Moraiumls S Shterzer N Lamed R Bayer EA Mizrahi I 2014 A combined cell-con-sortium approach for lignocellulose degradation by specialized Lactobacillus plan-tarum cells Biotechnol Biofuels 7 112 httpdxdoiorg1011861754-6834-7-112

Morgat A Axelsen KB Lombardot T Alcaacutentara R Aimo L Zerara M Niknejad A

Belda E Hyka-Nouspikel N Coudert E Redaschi N Bougueleret L SteinbeckC Xenarios I Bridge A 2015 Updates in Rheamdasha manually curated resource ofbiochemical reactions Nucleic Acids Res 43 D459ndash464 httpdxdoiorg101093nargku961

Mulbry W Ahrens E Karns J 1998 Use of a field-scale biofilter for the degradation ofthe organophosphate insecticide coumaphos in cattle dip wastes Pestic Sci 52268ndash274 httpdxdoiorg101002(SICI)1096-9063(199803)523lt268AID-PS719gt30CO2-2

Muschiol J Peters C Oberleitner N Mihovilovic MD Bornscheuer UT Rudroff F2015 Cascade catalysismdashstrategies and challenges en route to preparative syntheticbiology Chem Commun (Camb) 51 5798ndash5811 httpdxdoiorg101039c4cc08752f

Mutlu BR Yeom S Wackett L Aksan A 2015 Modelling and optimization of abioremediation system utilizing silica gel encapsulated whole-cell biocatalyst ChemEng J 259 574ndash580 httpdxdoiorg101016jcej201407130

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Nancharaiah YV Mohan SV Lens PNL 2016 Biological and bioelectrochemicalrecovery of critical and scarce metals Trends Biotechnol 34 137ndash155 httpdxdoiorg101016jtibtech201511003

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Nicolaou SA Gaida SM Papoutsakis ET 2010 A comparative view of metaboliteand substrate stress and tolerance in microbial bioprocessing from biofuels andchemicals to biocatalysis and bioremediation Metab Eng 12 307ndash331 httpdxdoiorg101016jymben201003004

Nielsen J Fussenegger M Keasling J Lee SY Liao JC Prather K Palsson B2014 Engineering synergy in biotechnology Nat Chem Biol 10 319ndash322 httpdxdoiorg101038nchembio1519

Nielsen AAK Der BS Shin J Vaidyanathan P Paralanov V Strychalski EARoss D Densmore D Voigt CA 2016 Genetic circuit design automation Science352 aac7341 httpdxdoiorg101126scienceaac7341

Nikel PI de Lorenzo V 2013 Engineering an anaerobic metabolic regime inPseudomonas putida KT2440 for the anoxic biodegradation of 13-dichloroprop-1-eneMetab Eng 15 98ndash112 httpdxdoiorg101016jymben201209006

Nikel PI Peacuterez-Pantoja D de Lorenzo V 2013 Why are chlorinated pollutants sodifficult to degrade aerobically Redox stress limits 13-dichloroprop-1-ene metabo-lism by Pseudomonas pavonaceae Philos Trans R Soc Lond Ser B Biol Sci 36820120377 httpdxdoiorg101098rstb20120377

Nikel PI Martiacutenez-Garciacutea E de Lorenzo V 2014 Biotechnological domestication ofpseudomonads using synthetic biology Nat Rev Microbiol 12 368ndash379 httpdxdoiorg101038nrmicro3253

Nikel PI Chavarriacutea M Fuhrer T Sauer U de Lorenzo V 2015 Pseudomonas putidaKT2440 strain metabolizes glucose through a cycle formed by enzymes of the Entner-Doudoroff Embden-Meyerhof-Parnas and pentose phosphate pathways J BiolChem 290 25920ndash25932 httpdxdoiorg101074jbcM115687749

Nikel PI Chavarriacutea M Danchin A de Lorenzo V 2016a From dirt to industrialapplications Pseudomonas putida as a synthetic biology chassis for hosting harshbiochemical reactions Curr Opin Chem Biol 34 20ndash29 httpdxdoiorg101016jcbpa201605011

Nikel PI Peacuterez-Pantoja D de Lorenzo V 2016b Pyridine nucleotide transhy-drogenases enable redox balance of Pseudomonas putida during biodegradation ofaromatic compounds Environ Microbiol 18 3565ndash3582 httpdxdoiorg1011111462-292013434

Nyerges Aacute Csoumlrgő B Nagy I Baacutelint B Bihari P Laacutezaacuter V Apjok G UmenhofferK Bogos B Poacutesfai G Paacutel C 2016 A highly precise and portable genome en-gineering method allows comparison of mutational effects across bacterial speciesProc Natl Acad Sci U S A 113 2502ndash2507 httpdxdoiorg101073pnas1520040113

Ohtsubo Y Maruyama F Mitsui H Nagata Y Tsuda M 2012 Complete genomesequence of Acidovorax sp strain KKS102 a polychlorinated-biphenyl degrader JBacteriol 194 6970ndash6971 httpdxdoiorg101128JB01848-12

Oide S Gunji W Moteki Y Yamamoto S Suda M Jojima T Yukawa H Inui M2015 Thermal and solvent stress cross-tolerance conferred to Corynebacterium glu-tamicum by adaptive laboratory evolution Appl Environ Microbiol 81 2284ndash2298httpdxdoiorg101128AEM03973-14

Oosterkamp MJ Veuskens T Talarico Saia F Weelink SAB Goodwin LADaligault HE Bruce DC Detter JC Tapia R Han CS Land ML Hauser LJLangenhoff AAM Gerritse J van Berkel WJH Pieper DH Junca H SmidtH Schraa G Davids M Schaap PJ Plugge CM Stams AJM 2013 Genomeanalysis and physiological comparison of Alicycliphilus denitrificans strains BC andK601(T) PLoS One 8 e66971 httpdxdoiorg101371journalpone0066971

Paddon CJ Keasling JD 2014 Semi-synthetic artemisinin a model for the use ofsynthetic biology in pharmaceutical development Nat Rev Microbiol 12 355ndash367httpdxdoiorg101038nrmicro3240

Parales RE Ditty JL 2005 Laboratory evolution of catabolic enzymes and pathwaysCurr Opin Biotechnol 16 315ndash325 httpdxdoiorg101016jcopbio200503008

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Pascual J Udaondo Z Molina L Segura A Esteve-Nuacutentildeez A Caballero A DuqueE Ramos JL van Dillewijn P 2015 Draft genome sequence of Pseudomonas putidaJLR11 a facultative anaerobic 246-trinitrotoluene biotransforming bacteriumGenome Announc 3 httpdxdoiorg101128genomeA00904-15

Patil VV Park K-H Lee S-G Woo E 2016 Structural analysis of the phenol-re-sponsive sensory domain of the transcription activator PoxR Structure 1993 (24)624ndash630 (Lond Engl) httpdxdoiorg101016jstr201603006

Patowary K Patowary R Kalita MC Deka S 2016 Development of an efficientbacterial consortium for the potential remediation of hydrocarbons from con-taminated sites Front Microbiol 7 1092 httpdxdoiorg103389fmicb201601092

Paul D Pandey G Jain RK 2005 Suicidal genetically engineered microorganisms forbioremediation need and perspectives Bioessays 27 563ndash573 httpdxdoiorg101002bies20220

Pavlova M Klvana M Prokop Z Chaloupkova R Banas P Otyepka M Wade RCTsuda M Nagata Y Damborsky J 2009 Redesigning dehalogenase access tunnelsas a strategy for degrading an anthropogenic substrate Nat Chem Biol 5 727ndash733httpdxdoiorg101038nchembio205

Petrie B Barden R Kasprzyk-Hordern B 2015 A review on emerging contaminants inwastewaters and the environment current knowledge understudied areas and re-commendations for future monitoring In Water Res Occurrence Fate Removal andAssessment of Emerging Contaminants in Water in the Water Cycle (FromWastewater to Drinking Water) 72 pp 3ndash27 httpdxdoiorg101016jwatres201408053

Planson A-G Carbonell P Paillard E Pollet N Faulon J-L 2012 Compoundtoxicity screening and structure-activity relationship modeling in Escherichia coliBiotechnol Bioeng 109 846ndash850 httpdxdoiorg101002bit24356

Puchałka J Oberhardt MA Godinho M Bielecka A Regenhardt D Timmis KNPapin JA Martins dos Santos VAP 2008 Genome-scale reconstruction andanalysis of the Pseudomonas putida KT2440 metabolic network facilitates applicationsin biotechnology PLoS Comput Biol 4 e1000210 httpdxdoiorg101371journalpcbi1000210

Ramos JL Wasserfallen A Rose K Timmis KN 1987 Redesigning metabolicroutes manipulation of TOL plasmid pathway for catabolism of alkylbenzoatesScience 235 593ndash596

Ramos J-L Marqueacutes S van Dillewijn P Espinosa-Urgel M Segura A Duque EKrell T Ramos-Gonzaacutelez M-I Bursakov S Roca A Solano J Fernaacutedez MNiqui JL Pizarro-Tobias P Wittich R-M 2011 Laboratory research aimed atclosing the gaps in microbial bioremediation Trends Biotechnol 29 641ndash647httpdxdoiorg101016jtibtech201106007

Ran FA Hsu PD Wright J Agarwala V Scott DA Zhang F 2013 Genome en-gineering using the CRISPR-Cas9 system Nat Protoc 8 2281ndash2308 httpdxdoiorg101038nprot2013143

Raunio H Kuusisto M Juvonen RO Pentikaumlinen OT 2015 Modeling of interac-tions between xenobiotics and cytochrome P450 (CYP) enzymes Front Pharmacol 6123 httpdxdoiorg103389fphar201500123

Ravikumar S Baylon MG Park SJ Choi J-I 2017 Engineered microbial biosensorsbased on bacterial two-component systems as synthetic biotechnology platforms inbioremediation and biorefinery Microb Cell Factories 16 62 httpdxdoiorg101186s12934-017-0675-z

Raymond RL Jamison VW Hudson JO 1975 Final Report on BeneficialStimulation of Bacterial Activity in Ground Waters Containing Petroleum ProductsSun Ventures Incorporated

Reineke W Knackmuss HJ 1979 Construction of haloaromatics utilising bacteriaNature 277 385ndash386

Renata H Wang ZJ Arnold FH 2015 Expanding the enzyme universe accessingnon-natural reactions by mechanism-guided directed evolution Angew Chem IntEd Eng 54 3351ndash3367 httpdxdoiorg101002anie201409470

Rockstroumlm J Gaffney O Rogelj J Meinshausen M Nakicenovic N SchellnhuberHJ 2017 A roadmap for rapid decarbonization Science 355 1269ndash1271 httpdxdoiorg101126scienceaah3443

Rojo F Pieper DH Engesser KH Knackmuss HJ Timmis KN 1987 Assemblageof ortho cleavage route for simultaneous degradation of chloro- and methylaromaticsScience 238 1395ndash1398

Rollin JA Martin del Campo J Myung S Sun F You C Bakovic A Castro RChandrayan SK Wu C-H Adams MWW Senger RS Zhang Y-HP 2015High-yield hydrogen production from biomass by in vitro metabolic engineeringmixed sugars coutilization and kinetic modeling Proc Natl Acad Sci U S A 1124964ndash4969 httpdxdoiorg101073pnas1417719112

Rui L Kwon YM Reardon KF Wood TK 2004 Metabolic pathway engineering toenhance aerobic degradation of chlorinated ethenes and to reduce their toxicity bycloning a novel glutathione S-transferase an evolved toluene o-monooxygenase andgamma-glutamylcysteine synthetase Environ Microbiol 6 491ndash500 httpdxdoiorg101111j1462-2920200400586x

Samin G Janssen DB 2012 Transformation and biodegradation of 123-tri-chloropropane (TCP) Environ Sci Pollut Res Int 19 3067ndash3078 httpdxdoiorg101007s11356-012-0859-3

Samin G Pavlova M Arif MI Postema CP Damborsky J Janssen DB 2014 Apseudomonas putida strain genetically engineered for 123-trichloropropane bior-emediation Appl Environ Microbiol 80 5467ndash5476 httpdxdoiorg101128AEM01620-14

Santacoloma PA Sin G Gernaey KV Woodley JM 2011 Multienzyme-catalyzedprocesses next-generation biocatalysis Org Process Res Dev 15 203ndash212 httpdxdoiorg101021op1002159

Santos CNS Yoshikuni Y 2014 Engineering complex biological systems in bacteriathrough recombinase-assisted genome engineering Nat Protoc 9 1320ndash1336

httpdxdoiorg101038nprot2014084Sarigiannis DA Hansen U 2012 Considering the cumulative risk of mixtures of

chemicals - a challenge for policy makers Environ Health 11 (Suppl 1) S18 httpdxdoiorg1011861476-069X-11-S1-S18

Schallmey M Frunzke J Eggeling L Marienhagen J 2014 Looking for the pick ofthe bunch high-throughput screening of producing microorganisms with biosensorsCurr Opin Biotechnol 26 148ndash154 httpdxdoiorg101016jcopbio201401005

Schellenberger J Que R Fleming RMT Thiele I Orth JD Feist AM ZielinskiDC Bordbar A Lewis NE Rahmanian S Kang J Hyduke DR Palsson BOslash2011 Quantitative prediction of cellular metabolism with constraint-based modelsthe COBRA Toolbox v20 Nat Protoc 6 1290ndash1307 httpdxdoiorg101038nprot2011308

Schmidt M 2010 Xenobiology a new form of life as the ultimate biosafety toolBioessays 32 322ndash331 httpdxdoiorg101002bies200900147

Schmidt M (Ed) 2012 Synthetic Biology Industrial and Environmental Applications1st edition Wiley-Blackwell

Schmidt M de Lorenzo V 2016 Synthetic bugs on the loose containment options fordeeply engineered (micro)organisms Curr Opin Biotechnol 38 90ndash96 httpdxdoiorg101016jcopbio201601006

Schwander T Schada von Borzyskowski L Burgener S Cortina NS Erb TJ 2016A synthetic pathway for the fixation of carbon dioxide in vitro Science 354 900ndash904httpdxdoiorg101126scienceaah5237

Scism RA Bachmann BO 2010 Five-component cascade synthesis of nucleotideanalogues in an engineered self-immobilized enzyme aggregate Chembiochem EurJ Chem Biol 11 67ndash70 httpdxdoiorg101002cbic200900620

Scott SR Hasty J 2016 Quorum sensing communication modules for microbialconsortia ACS Synth Biol 5 969ndash977 httpdxdoiorg101021acssynbio5b00286

Shapir N Mongodin EF Sadowsky MJ Daugherty SC Nelson KE Wackett LP2007 Evolution of catabolic pathways genomic insights into microbial s-triazinemetabolism J Bacteriol 189 674ndash682 httpdxdoiorg101128JB01257-06

Sheldon RA 2011 Characteristic features and biotechnological applications of cross-linked enzyme aggregates (CLEAs) Appl Microbiol Biotechnol 92 467ndash477 httpdxdoiorg101007s00253-011-3554-2

Shi L Dong H Reguera G Beyenal H Lu A Liu J Yu H-Q Fredrickson JK2016 Extracellular electron transfer mechanisms between microorganisms and mi-nerals Nat Rev Microbiol 14 651ndash662 httpdxdoiorg101038nrmicro201693

Si T Xiao H Zhao H 2015 Rapid prototyping of microbial cell factories via genome-scale engineering Biotechnol Adv 33 1420ndash1432 httpdxdoiorg101016jbiotechadv201411007

Silva-Rocha R de Lorenzo V 2014 Engineering multicellular logic in bacteria withmetabolic wires ACS Synth Biol 3 204ndash209 httpdxdoiorg101021sb400064y

Siu K-H Chen RP Sun Q Chen L Tsai S-L Chen W 2015 Synthetic scaffolds forpathway enhancement Curr Opin Biotechnol 36 98ndash106 httpdxdoiorg101016jcopbio201508009

Skariyachan S Manjunatha V Sultana S Jois C Bai V Vasist KS 2016 Novelbacterial consortia isolated from plastic garbage processing areas demonstrated en-hanced degradation for low density polyethylene Environ Sci Pollut Res Int 2318307ndash18319 httpdxdoiorg101007s11356-016-7000-y

Sohn SB Kim TY Park JM Lee SY 2010 In silico genome-scale metabolic ana-lysis of Pseudomonas putida KT2440 for polyhydroxyalkanoate synthesis degradationof aromatics and anaerobic survival Biotechnol J 5 739ndash750 httpdxdoiorg101002biot201000124

Stephanopoulos G 1999 Metabolic fluxes and metabolic engineering Metab Eng 11ndash11 httpdxdoiorg101006mben19980101

St-Pierre F Cui L Priest DG Endy D Dodd IB Shearwin KE 2013 One-stepcloning and chromosomal integration of DNA ACS Synth Biol 2 537ndash541 httpdxdoiorg101021sb400021j

Stucki G Thueer M 1995 Experiences of a large-scale application of 12-di-chloroethane degrading microorganisms for groundwater treatment Environ SciTechnol 29 2339ndash2345 httpdxdoiorg101021es00009a028

Takahashi K Ishikawa N Sadamoto Y Sasamoto H Ohta S Shiozawa A MiyoshiF Naito Y Nakayama Y Tomita M 2003 E-cell 2 multi-platform E-cell simu-lation system Bioinforma Oxf Engl 19 1727ndash1729

Tolia NH Joshua-Tor L 2006 Strategies for protein coexpression in Escherichia coliNat Methods 3 55ndash64 httpdxdoiorg101038nmeth0106-55

Tozakidis IEP Brossette T Lenz F Maas RM Jose J 2016 Proof of concept forthe simplified breakdown of cellulose by combining Pseudomonas putida strains withsurface displayed thermophilic endocellulase exocellulase and β-glucosidaseMicrob Cell Factories 15 103 httpdxdoiorg101186s12934-016-0505-8

Troumlgl J Krhůtkovaacute O Pilařovaacute V Daacuteňovaacute P Holiacuteček R Kohlovaacute M Hejda SSmrčka J Bouškovaacute A Křiklavovaacute L 2012 Removal of nitrates from high-salinitywastewaters from desulphurization process with denitrifying bacteria encapsulated inLentikats Biocatalyst Int J Environ Sci Technol 9 425ndash432 httpdxdoiorg101007s13762-012-0048-4

UniProt Consortium 2015 UniProt a hub for protein information Nucleic Acids Res 43D204ndash212 httpdxdoiorg101093nargku989

Vallenet D Calteau A Cruveiller S Gachet M Lajus A Josso A Mercier JRenaux A Rollin J Rouy Z Roche D Scarpelli C Meacutedigue C 2016MicroScope in 2017 an expanding and evolving integrated resource for communityexpertise of microbial genomes Nucleic Acids Res httpdxdoiorg101093nargkw1101

van Leeuwen JGE Wijma HJ Floor RJ van der Laan J-M Janssen DB 2012

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865

Directed evolution strategies for enantiocomplementary haloalkane dehalogenasesfrom chemical waste to enantiopure building blocks Chembiochem Eur J ChemBiol 13 137ndash148 httpdxdoiorg101002cbic201100579

Vilchez-Vargas R Junca H Pieper DH 2010 Metabolic networks microbial ecologyand ldquoomicsrdquo technologies towards understanding in situ biodegradation processesEnviron Microbiol 12 3089ndash3104 httpdxdoiorg101111j1462-2920201002340x

Wang HH Isaacs FJ Carr PA Sun ZZ Xu G Forest CR Church GM 2009Programming cells by multiplex genome engineering and accelerated evolutionNature 460 894ndash898 httpdxdoiorg101038nature08187

Wang B Kitney RI Joly N Buck M 2011 Engineering modular and orthogonalgenetic logic gates for robust digital-like synthetic biology Nat Commun 2 508httpdxdoiorg101038ncomms1516

Wang K Schmied WH Chin JW 2012 Reprogramming the genetic code from tri-plet to quadruplet codes Angew Chem Int Ed Eng 51 2288ndash2297 httpdxdoiorg101002anie201105016

Wang B Barahona M Buck M 2013 A modular cell-based biosensor using engineeredgenetic logic circuits to detect and integrate multiple environmental signals BiosensBioelectron 40 368ndash376 httpdxdoiorg101016jbios201208011

Wang L Xue C Wang L Zhao Q Wei W Sun Y 2016 Strain improvement ofChlorella sp for phenol biodegradation by adaptive laboratory evolution BioresourTechnol 205 264ndash268 httpdxdoiorg101016jbiortech201601022

Wei R Oeser T Schmidt J Meier R Barth M Then J Zimmermann W 2016Engineered bacterial polyester hydrolases efficiently degrade polyethylene ter-ephthalate due to relieved product inhibition Biotechnol Bioeng 113 1658ndash1665httpdxdoiorg101002bit25941

Wibberg D Bremges A Dammann-Kalinowski T Maus I Igentildeo MI Vogelsang RKoumlnig C Luque-Almagro VM Roldaacuten MD Sczyrba A Moreno-Viviaacuten CBlasco R Puumlhler A Schluumlter A 2016 Finished genome sequence and methylomeof the cyanide-degrading Pseudomonas pseudoalcaligenes strain CECT5344 as resolvedby single-molecule real-time sequencing J Biotechnol 232 61ndash68 httpdxdoiorg101016jjbiotec201604008

Wicker J Lorsbach T Guumltlein M Schmid E Latino D Kramer S Fenner K 2016enviPathmdashthe environmental contaminant biotransformation pathway resourceNucleic Acids Res 44 D502ndash508 httpdxdoiorg101093nargkv1229

Wierckx N Prieto MA Pomposiello P de Lorenzo V OConnor K Blank LM2015 Plastic waste as a novel substrate for industrial biotechnology MicrobBiotechnol 8 900ndash903 httpdxdoiorg1011111751-791512312

Wigginton N Yeston J Malakoff D 2012 Working with waste More treasure thantrash Introduction Science 337 662ndash663 httpdxdoiorg101126science3376095662

Winsor GL Griffiths EJ Lo R Dhillon BK Shay JA Brinkman FSL 2016Enhanced annotations and features for comparing thousands of Pseudomonas gen-omes in the Pseudomonas genome database Nucleic Acids Res 44 D646ndash653httpdxdoiorg101093nargkv1227

Wittich R-M Wolff P 2007 Growth of the genetically engineered strain Cupriavidusnecator RW112 with chlorobenzoates and technical chlorobiphenyls Microbiology153 186ndash195 httpdxdoiorg101099mic029096-0

Wittich R-M van Dillewijn P Ramos JL 2010 Rational construction of bacterialstrains with newimproved catabolic capabilities for the efficient breakdown of en-vironmental pollutants In Timmis KN (Ed) Handbook of Hydrocarbon and LipidMicrobiology Springer Berlin Heidelberg pp 1247ndash1254

Wolfaardt GM Lawrence JR Robarts RD Caldwell SJ Caldwell DE 1994Multicellular organization in a degradative biofilm community Appl EnvironMicrobiol 60 434ndash446

Wu G Yan Q Jones JA Tang YJ Fong SS Koffas MAG 2016 Metabolicburden cornerstones in synthetic biology and metabolic engineering applicationsTrends Biotechnol 34 652ndash664 httpdxdoiorg101016jtibtech201602010

Xu P Vansiri A Bhan N Koffas MAG 2012 ePathBrick a synthetic biology plat-form for engineering metabolic pathways in E coli ACS Synth Biol 1 256ndash266httpdxdoiorg101021sb300016b

Yadid I Rudolph J Hlouchova K Copley SD 2013 Sequestration of a highly re-active intermediate in an evolving pathway for degradation of pentachlorophenolProc Natl Acad Sci U S A 110 E2182ndash2190 httpdxdoiorg101073pnas1214052110

Yang J Liu R Jiang H Yang Y Qiao C 2012 Selection of a whole-cell biocatalystfor methyl parathion biodegradation Appl Microbiol Biotechnol 95 1625ndash1632httpdxdoiorg101007s00253-011-3792-3

Yang Y Yang J Jiang L 2016 Comment on A bacterium that degrades and assim-ilates poly(ethylene terephthalate) Science 353 759 httpdxdoiorg101126scienceaaf8305

Yoshida S Hiraga K Takehana T Taniguchi I Yamaji H Maeda Y Toyohara KMiyamoto K Kimura Y Oda K 2016a A bacterium that degrades and assimilatespoly(ethylene terephthalate) Science 351 1196ndash1199 httpdxdoiorg101126scienceaad6359

Yoshida S Hiraga K Takehana T Taniguchi I Yamaji H Maeda Y Toyohara KMiyamoto K Kimura Y Oda K 2016b Response to comment on A bacterium thatdegrades and assimilates poly(ethylene terephthalate) Science 353 759 httpdxdoiorg101126scienceaaf8625

Zobel S Benedetti I Eisenbach L de Lorenzo V Wierckx N Blank LM 2015 Tn7-based device for calibrated heterologous gene expression in Pseudomonas putida ACSSynth Biol 4 1341ndash1351 httpdxdoiorg101021acssynbio5b00058

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P Dvořaacutek et al Biotechnology Advances 35 (2017) 845ndash866

866

  • Bioremediation 30 Engineering pollutant-removing bacteria in the times of systemic biology
    • Introduction
    • Approaches and tools of systems biology and metabolic engineering for tailoring biodegradation pathways
      • Step 1 get to know the contaminant and find a suitable catabolic pathway
        • Databases
        • Pathway prediction systems and toxicity prediction algorithms
        • Detection and quantification of pathway building blocks
          • Step 2 select and get to know a suitable microbial host
            • Omics techniques in studies of bacterial degraders
              • Step 3 build the pathway and optimize its performance in the context of host metabolism
                • Computational tools for pathway and strain optimization
                • Experimental tools for pathway and strain optimization
                • Protein engineering to eliminate bottlenecks of biodegradation pathways
                    • Synthetic biology approaches and tools for biodegradation pathway engineering
                      • Development of robust microbial chassis for biodegradation of toxic chemicals
                      • Development of synthetic microbial consortia for enhanced biodegradation and bioremediation of pollutants
                      • Development of orthogonal systems in bacteria to enhance pollutant biodegradation and bioremediation
                      • Engineering microbial biodegradation pathways in vitro
                        • Towards planet-wide bioremediation interventions CO2 capture as a large-scale challenge
                        • Conclusions and perspectives
                        • Acknowledgements
                        • References
                        • Web references
Page 5: Bioremediation 3.0 Engineering pollutant-removing bacteria ... · biology, metabolic engineering, and synthetic biology, for the sake of understanding and reprograming biological

trichlorobenzene (124-TCB) compounds that represent various classesof xenobiotics (Finley et al 2009) BNICEch not only reproduced theexperimentally verified pathways but also found completely novel re-actions taking into account the starting compound the requestedlength of the pathway and the broader reaction rules of the EnzymeCommission classification system The 15 novel pathways for 124-TCBwere subsequently probed using thermodynamic analysis and foundenergetically feasible In the follow-up study the authors evaluated thenew routes in the context of Pseudomonas putida KT2440 cellular me-tabolism (Finley et al 2010) They expanded the available P putidametabolic model by including the pathways obtained from BNICEchand metabolic flux analysis was used to predict the maximum biomassgenerated using 124-TCB as the sole carbon source In this way in-teresting alternative pathways were proposed that couple 124-TCB

utilisation with biomass formation Although this work was purelytheoretical it suggests the way for those who wish to use the increasingpower of computational modelling to design biodegradation routes orexplore the fate of xenobiotics in the environment

Prediction tools for assisting the design of robust microbial bio-sensors are highly desirable as well Such biosensors are often based onregulatory proteins or riboswitches able to translate the presence of agiven metabolite or small molecule into a readily measurable readout(Gredell et al 2012 Schallmey et al 2014 Cardinale et al 2017) Butwhat to do when biosensors for a compound of interest do not exist Aninteresting approach to tackle the issue was presented recently byDeleacutepine et al (2016) Their SensiPath algorithm (httpsensipathmicalisfr) stems from the concept of retrosynthesis introduced pre-viously by the same laboratory (Carbonell et al 2014) SensiPath

Fig 2 Initial aerobic biotransformations of theemerging contaminant 123-trichloropropane(TCP) generated by the EAWAG-BBD PathwayPrediction System Reactions are tagged with oneof the 249 biotransformation rules used for thepredictions Reactions proven experimentally tobe catalysed by haloalkane dehalogenase DhaAepoxide hydrolase EchA and halohydrin dehalo-genase HheC in aerobic conditions are high-lighted with thick arrows (Bosma et al 1999)The scheme was adopted and modified fromhttpeawag-bbdethzchpredict Aerobic like-lihood specifies whether the reaction will occur inaerobic conditions exposed to air in soil (mod-erate moisture) or water at neutral pH 25 degCwith no competing compounds AbbreviationsDCP 23-dichloropropane-1-ol ECH epi-chlorohydrin CPD 3-chloropropane-12-diolGDL glycidol

P Dvořaacutek et al Biotechnology Advances 35 (2017) 845ndash866

849

applies more than 9000 unique reaction rules collected from BRENDAMetacyc and Rhea (Morgat et al 2015) databases to find enzymes(currently limited to max two-step reactions) able to convert a targetundetectable organic chemical into a molecule that can be recognizedby a known natural sensing system In the theoretical part of the follow-up study the authors applied SensiPath to expand the range of therebydetectable compounds among chemical structures collected from sev-eral databases (Libis et al 2016) The method almost tripled (from 169to 477) the number of theoretically detectable compounds in theTOX21 database (Krewski et al 2009) The predictive power of themethod was validated in the experimental part of the study Metabolicmodules of up to two enzymes proposed by SensiPath were introducedinto E coli bearing a sensing module for the product of enzymaticconversion at stake Functional whole-cell biosensors for cocaine ni-troglycerin or parathion were constructed in such way Despite thisremarkable contribution the number of undetectable organic chemicalsremains at a highgt 94 of all compounds in TOX21 databaseStrengthening the computational power of tools such as SensiPath willhopefully improve the situation in the near future

The predicted reaction networks can also be pruned using toxicityestimation algorithms to prevent the formation of compounds highytoxic to the host (Benfenati 2007) Besides quantitative structure ac-tivity relationship (QSAR) models which calculate toxicity based on thephysical characteristics of the chemical structures (molecular de-scriptors Eriksson et al 2003) other models have recently been de-veloped to predict toxicity based for example on chemical-chemicalinteractions (Chen et al 2013) QSAR models nonetheless remain theparadigm in the field An interesting example of a QSAR model-basedcomputational tool (httpsabsynthissbgenopolefrBioinformatics)is the toxicity prediction web server EcoliTox (Planson et al 2012)The dataset obtained from screening a diversified chemical library of166 compounds for toxicity in Escherichia coli was used to develop apredictor of toxicity of metabolites throughout the metabolome of thispopular bacterial host Tools similar to the EcoliTox server could beintegrated into a computational framework for improved design ofnative or heterologous biodegradation pathways and used to fine-tunetheir expression in selected microbial hosts A powerful virtualscreening approach currently applied predominantly in drug designstudies (Buryska et al 2016) could be used similarly for syntheticpathway predictions to avoid selection of enzymes whose catalyticmachinery might be inhibited by molecules present in a host cell

213 Detection and quantification of pathway building blocksOnce the suitable pathway is selected another issue arises that of

how to detect and quantify the pathway building blocks - metabolitesand enzymes Detection and accurate quantification of metabolites incomplex reaction mixtures and of functional enzymes produced withinthe cell provide valuable information on pathway performance and itsbottlenecks as well as a background for further optimization of theroute Here the experimental tools and approaches come into play forthe first time in our workflow scheme (Fig 1) The best sensitivity andseparation power is currently provided by chromatographic separationof metabolites followed by mass spectrometry analysis (Buumlscher et al2009) Information on physicochemical properties of compounds(boiling point polarity molecular weight) generated in the pathway isnonetheless crucial for correct choice of a detection method be it gaschromatography liquid chromatography or capillary electrophoresis(Buumlscher et al 2009) Of the numerous chemical databases PubChem(httpspubchemncbinlmnihgov) created in 2004 by the US Na-tional Institutes of Health is the worlds largest free chemistry re-pository into which anyone can deposit data on structures and theirproperties (Kim et al 2016) The database has grown togt 92 millionstructures Bioactivity data of chemical substances manually with-drawn from the scientific literature are saved in PubChem Substanceand Compound databases Integration with other databases allows in-cluding pharmacology toxicology drug target information safety or

handling information to the annotation of chemical records PubChemalso hosts data from important regulatory agencies including the USEnvironmental Protection Agency In 2007 another free repositoryChemSpider (httpwwwchemspidercom) was created and laterpurchased by the UK Royal Society of Chemistry it provides access toover 59 million entries from 487 diverse data sources and can be re-commended as another rich source of knowledge on experimental orpredicted physicochemical properties of compounds

For pathway enzyme detection and absolute quantification SDS-PAGE or better Western blot analysis followed by determination ofenzyme activity have been standard protocols in metabolic engineeringfor many years (Kurumbang et al 2014) When applied to multiple-enzyme pathways however these methods are tedious and time-con-suming Selected Reaction Monitoring Mass Spectrometry protocolsdeveloped in the past few years seem to provide a promising alternativefor absolute protein quantification in the future as they allow rapidsimultaneous quantification of many proteins in the cell with goodselectivity and sensitivity regardless of organism of origin (Batth et al2012)

22 Step 2 select and get to know a suitable microbial host

In addition to catabolic pathway choice or design the selection of asuitable host is a crucial initial step in any engineering project focusedon the development of a whole-cell degrader Over the years severalmicrobial hosts have been considered for application in biodegradationprocesses but no single naturally isolated bacterial strain possesses allthe desired characteristics of the optimal degrader Soil bacteria couldsatisfy many of these requirements because of the conditions they facenaturally in the niches in which they thrive including exposure toenvironmental contaminants and to competing and predatory speciesThese microorganisms have versatile metabolic lifestyles that allowthem to adapt to changing conditions sometimes adverse (oxidativestress temperature challenges osmotic perturbations) P putida is aubiquitous rhizosphere colonizer that belongs to the wide (if somewhatfuzzy) group of fluorescent Pseudomonas P putida KT2440 is the best-characterized saprophytic laboratory pseudomonad that has retained itsability to survive and thrive in the environment Its entire chromosomesequence is available since 2002 (Belda et al 2016 Nelson et al 2002Nikel et al 2014) This strain derives from P putida mt-2 a naturallyoccurring species able to degrade several aromatic compounds throughthe activities encoded in the catabolic TOL plasmid The physiologicaland metabolic properties of pseudomonads argue for their selection asthe starting point for engineering of biodegradation processes In ad-dition to rapid growth and low nutrient demand their extremely ver-satile metabolism and high capacity to supply redox power providingendurance to oxidative stress are several advantages that render Pputida an interesting host for degradation applications (Nikel et al2016a) Most of these properties arise from a very robust central me-tabolism (Fig 3) in which the combined activity of enzymes fromdifferent pathways (ie the EDEMP cycle Nikel et al 2015) endowsthe cells with a large NADPH supply (Chavarriacutea et al 2013) The op-erativity of the EDEMP cycle enables the formation of ATP and NADPHat different rates depending on the amount of trioses phosphate re-cycled Assuming that P putida has (i) a NAD+ dependent glycer-aldehyde-3-P dehydrogenase and a NADP+ dependent glucose-6-P de-hydrogenase (ii) pyruvate as the end product of glycolytic pathwaysand (iii) a negligible flux through 2-ketogluconate the yields of pyr-uvate ATP and NADPH are as indicated in the inset to Fig 3 Theability to sustain high NADPH formation rates is a requisite needed in abacterial host for the implantation of biodegradation pathways(Lorenzo and Loza-Tavera 2011) As will be shown in part in followingsections these beneficial properties are reflected in the increasingnumber of metabolic engineering studies in which P putida appears asone major player

P Dvořaacutek et al Biotechnology Advances 35 (2017) 845ndash866

850

221 Omics techniques in studies of bacterial degradersSystems biology and particularly lsquoomicrsquo techniques contributed

markedly to rational selection of suitable hosts for metabolic en-gineering The enormous amount of genetic information read with first-or next-generation sequencing techniques together with powerful newalgorithms and computational tools to aid with data mining allowedconsiderable progress in our understanding of dynamic interactionsinside and in between cells and the environments they inhabit(Bouhajja et al 2016 Vilchez-Vargas et al 2010) Available genomicdata also enabled new insights into the evolution of microbial meta-bolism towards biodegradation of well-recognized xenobiotics such as135-triazine (Shapir et al 2007) 16S rRNA-phylogenetic microarraysand the functional gene microarrays have been used to monitor mi-crobial community dynamics and to track activities of microbes in thepolluted environments respectively (Chakraborty et al 2012) Thereconstructed genome-scale metabolic models together with tran-scriptomic proteomic metabolomic and flux analyses in variousgrowth and stress conditions completely changed our view of popularbiodegradative bacterial hosts including the paradigmatic P putida(Sohn et al 2010)

For instance fluxomic analyses applied to P putida KT2440 helpedto reveal its distinct strategies for dealing with carbon sources eg byfavouring the routes that generate NADPH which promotes greaterresistance to oxidative stress (Chavarriacutea et al 2013 Nikel et al 2013)Examination of transcriptomic data uncovered the significant portion ofthe P putida genome (ge20) that is differentially expressed when thecells are grown on diverse substrates and emphasized the role of a suiteof global regulators (J Kim et al 2013) Recent complete structural re-annotation of the KT2440 strain genome allowed identification of 1485

CDSs associated to 1898 chemical reactions prediction of catabolicpathways for 92 compounds (carbon nitrogen and phosphorussources) and upgrading of the available genome-scale metabolic model(Belda et al 2016 Puchałka et al 2008) lsquoOmicrsquo analyses greatly in-creased insight into the genetic and physiological background of someother pseudomonads besides KT2440 including P pseudoalcaligenesCECT5344 which might be used for biodegradation of industrial cya-nide-containing wastes or the 246-trinitrotoluene biotransforming Pputida JLR11 (Pascual et al 2015 Wibberg et al 2016) At the time ofwriting this article there are 3133 drafted and 215 completed Pseu-domonas genomes currently available in the Pseudomonas Genome Da-tabase (httpwwwpseudomonascom) perhaps the most compre-hensive genomic database dedicated to a single bacterial genus (Winsoret al 2016)

Complete genomic sequences are currently available for many otherpotentially useful degraders such as Cupriavidus necator JMP134 abacterium with nearly 300 genes involved in the catabolism of aro-matics including chloroaromatics (Lykidis et al 2010) Other ex-amples include but are not limited to the PCBs-degrading Acidovoraxsp strain KKS102 (Ohtsubo et al 2012) the cyclic hydrocarbons-de-grading Alicycliphilus denitrificans strains BC and K601 (Oosterkampet al 2013) or the oil-degrading bacterium Oleispira antarctica whosegenome has provided useful information as to how bacteria mitigate oilspills in cold environments (Kube et al 2013) Genomic sequences ofthese and many other microorganisms with biodegradation capabilitiescan be searched through in comprehensive databases such as NCBIgenome database (httpswwwncbinlmnihgovgenome) or Micro-Scope (httpwwwgenoscopecnsfragcmicroscopehome) a mi-crobial genome annotation and analysis platform (Vallenet et al2016) developed in the Laboratory of Bioinformatics Analyses forGenomics and Metabolism at the National Sequencing Centre (EvryFrance) it provides a complete pipeline for annotations and compara-tive analyses of up to 6000 microbial genomes of which hundreds weremanually curated for accuracy

Despite interest in study of individual bacterial species the fasci-nating in situ systems biology exercise that followed one of the mostalarming ecological disasters in modern human history the 2010 BPDeepwater Horizon spill in the Gulf of Mexico emphasized the irre-placeable role of bacterial communities in natural bioremediationBacteria that can convert oil-derived alkanes and aromatics into thebiomass were identified based on (i) genome reconstructions via me-tagenome sequencing of the DNA from the stable-isotope-probing ex-periments (Dombrowski et al 2016) and (ii) cultivation trials using oilsamples from sea surface and deep sea collected during the outflow(Gutierrez et al 2013) Only the concerted action of many microbialspecies including Cycloclasticus Alcanivorax members of Rhodospir-illales Alteromonas and others augmented by the specific environmentof the oil spill allowed the degradation of the complex mixture thatconsisted of as many as 1000 compounds Metagenomic strategies helpto shed light also on the composition and dynamics of microbial con-sortia that participate in natural biodegradation of chorinated ethenesin contaminated groundwater (Adetutu et al 2015) or polycyclic aro-matic hydrocarbons in soils (Guazzaroni et al 2013)

23 Step 3 build the pathway and optimize its performance in the contextof host metabolism

Optimization of the proposed biochemical pathway in the context ofhost cell metabolism is often the most demanding part of the en-gineering project This is especially true for de novo synthetic pathwayscomposed of enzymes from different sources implanted into a newbacterial host Codon composition of introduced genes might not beoptimal for expression in a heterologous host enzyme activities mightnot be well balanced or might cross-talk with the native metabolicnetwork pathway intermediates can accumulate and inhibit the growthof cells or cofactors ATP or redox carriers might be lacking The

Fig 3 The action of the EDEMP cycle is illustrated with a theoretical example of fluxdistribution in glucose-grown P putida KT2440 Total carbon uptake is considered to be100 (arbitrary units) and glucose can be split into the phosphorylative (Glk) or oxidative(x) branches The net formation rates (v) of pyruvate (Pyr) ATP and NADPH are in-dicated in the inset table with r representing the amount of triose phosphates recycled tohexose phosphates through the action of the EDEMP cycle Note that part of the glucosecan also be oxidized through the action of the so-called peripheral reactions represented bythe overall flux x in the scheme and that two trioses are formed per glucose consumedie a glucose uptake flux of 100 (arbitrary units) will result in a pyruvate flux of 200Abbreviations ED pathway EntnerndashDoudoroff pathway EMP pathwayEmbdenndashMeyerhofndashParnas pathway PP pathway pentose phosphate pathway G6Pglucose-6-P F6P fructose-6-P FBP fructose-16-P2 DHAP dihydroxyacetone-P GA3Pglyceraldehyde-3-P 6PG 6-phosphogluconate KDPG 2-keto-3-deoxy-6-phosphogluco-nate 2KG 2-ketogluconate and 2K6PG 2-keto-6-phosphogluconate Figure adapted andmodified from (Nikel et al 2016a)

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851

portfolio of systemic tools that can help overcome these issues is ex-panding constantly Here we will center on the major concepts thathave proven useful in tailoring biodegradation pathways and microbialdegraders We will discuss the application of several of these moderntools including the example of engineering the synthetic catabolic routefor 123-trichloropropane (TCP Fig 2) an industrial byproduct ofanthropogenic origin now being recognized as a groundwater con-taminant (Samin and Janssen 2012) TCP is representative of difficult-to-degrade halogenated aliphatic compounds a tough case for re-mediation technologists due to its physicochemical properties toxicityin living organisms and absence of efficient natural catabolic pathway(Janssen et al 2005 Samin and Janssen 2012) The enzymes laterused to compose the first synthetic pathway that allowed mineraliza-tion of TCP by an engineered bacterium had already been described inthe late 1980s and early 90s (Bosma et al 1999) With a historyspanninggt 25 years the engineering of this biodegradation pathwaythus represents one of the most systematic efforts of its kind

231 Computational tools for pathway and strain optimizationThe tremendous increase in the number of sequenced genomes (the

number of complete genomes in the NCBI database has more thandoubled in the last two years) of unicelluar and multicellular organ-isms including the microbial degraders mentioned above led to thereconstruction of genome-scale metabolic models representing all(anotated) biochemical reactions that take place in the living cell (Kinget al 2015) Mathematical models of metabolic networks have a cen-tral role in metabolic engineering and in pathway and strain optimi-zation Modelling can be used to analyze the selected pathway (eg todetermine the distribution of metabolic fluxes) and identify reactionsthat must be modified to improve its performance Genome-scale me-tabolic models are built by compiling data on genes related to bio-chemical reactions from databases such as KEGG and BioCyc The genesare compared to already finalized reconstructions of related organismsto find homologous reactions the draft model is then refined and ver-ified by simulations Flux Balance Analysis (FBA) and Metabolic FluxAnalysis (MFA) are two major approaches that use metabolic models topredict intracellular fluxes (Stephanopoulos 1999) FBA is a theoreticalconcept that uses the stoichiometric coefficients for each reaction in thesystem as the set of constraints for optimization MFA determines in-tracellular fluxes from measurable rates of metabolite uptake and se-cretion in growth medium In a typical experiment substrates labelledwith the non-radioactive isotope 13C are used in chemostat-growncultures to trace fluxes through a cellular network Computational toolssuch as Cobra 20 for Matlab OptKnock or k-OptForce can implementconstraint-based flux calculations and suggest strategies based onknock-out upregulation or downregulation of target genes to optimizemetabolite production without compromising cell growth (Burgardet al 2003 Chowdhury et al 2014 Schellenberger et al 2011) In astudy by Izallalen and colleagues OptKnock was used together with theconstraint-based in silico model of Geobacter sulfurreducens to determinegene deletions which could lead to increased respiration rates (Izallalenet al 2008) Geobacter species are well recognized for their ability todegrade radioactive and toxic metals and have been explored for theirutility in microbial fuel cells (Shi et al 2016) These processes arenonetheless limited by electron transfer rates in cells OptKnock cal-culations followed by genetic constructions by the authors resulted inrecombinant Geobacter cells with decreased ATP levels slower growthrates and predicted higher respiration rates (Izallalen et al 2008)Subsequent genome-wide analysis of gene transcript levels also verifiedthe in silico predictions

Although FBA- and MFA-based approaches can handle genome-scalemetabolic models and require no information on enzyme kinetics theiroutput only gives a steady-state approximation of the dynamic reality inthe living cell Kinetic modelling is an alternative to static flux calcu-lations when reliable kinetic parameters of pathway enzymes and someother input data are available eg specific surface area of the cell

permeability coefficients for substrates metabolite concentrations orapproximate enzyme amount in the cell (Chowdhury et al 2015) Ki-netic constants can be obtained from enzyme databases such asBRENDA or can be determined experimentally One should keep inmind that most kinetic constants deposited in databases are not stan-dardized and also measured in in vitro which might be a limiting factorwhen such data are applied to kinetic modelling in living systems (Costaet al 2011) Computational tools such as COPASI or E-Cell are used toassemble the pathway model in the form of kinetic and differentialequations and to simulate reaction time courses for various conditions(Mendes et al 2009 Takahashi et al 2003) Kinetic models of wholemetabolic networks are the holy grail of metabolic engineering buttheir application in strain design is limited by factors such as un-reliability of parameters non-universality of rate laws need to imple-ment regulatory events or extremely high demand on computationalpower (Chowdhury et al 2015) In contrast the use of kinetic mod-elling to engineer individual metabolic pathways or simpler in vitro-assembled networks is currently more feasible (Muschiol et al 2015)

Recent studies by Dvorak Kurumbang and colleagues are notableexample of kinetic modelling applied in engineering of synthetic bio-degradation pathways (Dvorak et al 2014b Kurumbang et al 2014)As a model these studies centered on detoxification of the industrialwaste compound and water pollutant TCP to glycerol - reaction cata-lysed by the haloalkane dehalogenase DhaA from Rhodococcus rhodo-chrous NCIMB 13064 and the haloalcohol dehalogenase HheC and theepoxide hydrolase EchA from Agrobacterium radiobacter AD1 (Bosmaet al 1999) In vitro steady-state kinetic data obtained for HheC EchAand three variants of DhaA were utilized to develop a kinetic model ofthe reaction that proved useful for revealing major bottlenecks in thepathway that is (i) low activity of wild-type DhaA on TCP and (ii)unbalanced enantioselectivity and enantiospecificity of the first and thesecond enzyme in the route DhaA and HheC respectively (Dvoraket al 2014b) Modelling was further applied to predict optimal enzymestoichiometry and fine-tuning overall pathway efficiency both in invitro conditions and in the heterologous microbial host E coli In E colithe pathway was established as a modular tunable system (Kurumbanget al 2014) Absolute amounts of pathway enzymes in the cell copynumbers of used plasmid vectors and toxicity levels of pathway sub-strate and intermediates were included in the mathematical model asadditional parameters Variants of the pathway predicted to promotebetter host survival in a medium with toxic TCP were verified ex-perimentally The observed precise matching between calculated andexperimental data confirmed the performance of the pathway in E coliand stressed the power of kinetic modelling when reliable parametersare available Finally the kinetic parameters of an optimal DhaA var-iant that would ensure sufficient TCP conversion to glycerol as well ashost cell growth on the toxic substrate were both predicted by mathe-matical modelling

This study shows that for engineering and implanting heterologouspathways complete knowledge of the host cell metabolic background isnot a must and a reliable strain design can be achieved with a relativelysimple mathematical model (Dvorak et al 2014b) Even so similarstudies that combine theoretical and experimental approaches in thedesign of pathways and strains for biodegradation are still rare Mostrecent work in the biodegradation field is restricted to application ofpurely experimental techniques from a repertoire of metabolic en-gineering discussed in the following section

232 Experimental tools for pathway and strain optimizationOnce the bottleneck reaction steps are identified and a solution is

proposed experimental techniques are applied to target the appropriategenes or regulatory mechanisms Engineering is traditionally conductedat the level of gene expression which affects the quantity of proteinGenes in native or synthetic pathways are usually overexpressed byintroducing plasmid vectors with extra copies of desired coding se-quences One popular approach also used for modular assembly of the

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TCP biodegradation pathway described above is to combine NovagenDuet plasmid vectors (Merck Millipore Germany) or derivatives such asePathBrick vectors which carry compatible replication origins andantibiotic markers (Kurumbang et al 2014 Tolia and Joshua-Tor2006 Xu et al 2012) This system allows effective propagation andmaintenance of up to four plasmids in a single E coli BL21 cell withλDE3 lysogen and modular assembly of multi-gene pathways SEVA(Standard European Vector Architecture) plasmids with standardizedarchitecture and nomenclature are an alternative modular vectorsystem tailored to allow cloning or expression of heterologous genes inP putida E coli and other Gram-negative bacteria with no specificneed for strain pretreatment (Martiacutenez-Garciacutea et al 2015) Up to fourplasmids each with one of the six available antibiotic markers (ampi-cillin kanamycin cloramphenicol streptomycin tetracycline genta-micin) four independent replication origins (RK2 pBBR1 pRO1600ColE1 RSF1010) and diverse cargoes can be combined in a single hostcell to fulfill the users needs A rich collection of constructs is alreadyfreely available (httpsevacnbcsices)

A set of compatible SEVA plasmids was used for instance in a studyof Nikel and de Lorenzo (2013) who described extrication of P putidaKT2440 from its strictly aerobic nature which prevents its use in in-dustrial anaerobic fermentors and certain bioremediation applications(Nikel and de Lorenzo 2013) Two scenarios were considered to ex-plain the inability of P putida to grow in anoxic conditions (i) un-balanced energy charge due to limited activity of the respiratory chainand (ii) lack of appropriate pathways for anoxic NADH re-oxidationThis two-fold problem was tackled by recruiting the pyruvate dec-arboxylase (pdc) and alcohol dehydrogenase II (adhB) genes from theanaerobe Zymomonas mobilis and the acetate kinase (ackA) gene fromthe facultative aerobe E coli to manipulate energy generation andredox balance in anoxic conditions To evaluate the potential of therecombinant host for anoxic biotransformations the authors used it as ahost for the haloalkane dehalogenase genes from P pavonaceae strain170 The resulting recombinant which bore two synthetic operons oncompatible plasmids pSEVA234 and pSEVA428 not only survived inanoxic conditions but also degraded the environmental pollutant 13-dichloropropene These results highlight the possibility of harnessingthe full potential of P putida KT2440 as a robust biocatalyst by precisecontrol of its energy and redox metabolism

Despite the widespread use of recombinant plasmids in proof-of-concept studies metabolic engineers must bear in mind that the in-troduction and massive expression of heterologous genes can affect hostfitness due either to additional metabolic load or to depletion of es-sential cofactors in redox reactions (Dvorak et al 2015 Glick 1995Wu et al 2016) This is even more important in the design of robustbacterial degraders that must cope with a spectrum of toxic substratesandor pathway intermediates and might need an additional energycharge and reducing cofators to cope with oxidative stress (Dvoraket al 2015 Nikel et al 2013) By-passing such difficulties is possibleby tuning inducer concentration applying lower-copy-number plasmidswith weaker promoters or by enzyme-mediated co-factor recyclingthrough overexpression of NAD+ kinase transhydrogenases or dehy-drogenases (Dvorak et al 2015 Nikel et al 2016b)

As an alternative expression of heterologous genes directly from thehost chromosome can be beneficial for greater stability of the desiredgenotypephenotype and improved host viability (Martiacutenez-Garciacuteaet al 2014a Santos and Yoshikuni 2014 St-Pierre et al 2013 Zobelet al 2015) Homologous recombination and site-specific or randomtransposition-based techniques have been developed to enable chro-mosomal insertion of single genes gene clusters or whole syntheticoperons or knockouts of genes that encode competing metabolicpathways (Loeschcke et al 2013 Martiacutenez-Garciacutea et al 2014a Santosand Yoshikuni 2014 St-Pierre et al 2013 Zobel et al 2015)

In a study by Samin and co-workers a mutant variant of haloalkanedehalogenase DhaA was introduced into the chromosome of 23-di-chloro-1-propanol-degrading P putida MC4 under the control of a

strong constitutive promoter using the Tn5 transposon-based deliveryvector (Samin et al 2014) Although the complete mineralizationpathway in strain MC4 is not yet fully understood the recombinantPseudomonas was the first microorganism shown to grow aerobically onTCP both in shaken flasks and in packed-bed reactor in continuous-flow conditions Mini-transposon systems have also been used suc-cessfully for chromosomal integration of the whole catabolic cluster asin the study by Wittich and Wolf who transplanted 11 genes from threedistinct bacteria into Cupriavidus necator H850 giving rise to the firstdesigner bacterium to show aerobic growth on a wide range of PCBincluding the two commercial pesticides Aroclor 1221 and Aroclor1232 (Wittich and Wolff 2007)

Gene expression balancing is undoubtedly a powerful metabolic en-gineering concept In addition to the approaches mentioned above forrather rough manipulation of gene expression numerous techniques forfine-tuning expression have been developed in recent years Surgicalcuts including computationally designed ribosome binding sites refinedarchitecture of the whole expression cassette mutagenesis of promoterregions tailored stability of mRNA molecules or altered gene order inthe operon were proven useful for optimizing bisynthetic pathways(Boyle and Silver 2012) In several cases expression adjustment was alsoconsidered in biodegradation pathway design de la Pentildea Mattozzi andco-workers achieved more rapid paraoxon hydrolysis in a recombinantP putida strain by altering the order of three genes in the operon forenzymes that convert one of the initial pathway intermediates (de laPentildea Mattozzi et al 2006) Expression of the dszB gene which encodes2-hydroxybiphenyl-2-sulfinate sulfinolyase the last rate-limiting enzymein the dibenzothiophene biodesulfurization pathway was improved byrearranging gene order and removing the overlapping structure in the dszoperon (Li et al 2007) Nonetheless especially in cases of syntheticmetabolic pathways composed of biocatalysts from diverse organismsthe activity selectivity stability or inhibition bottlenecks of individualenzymes can be too far-reaching to be solved by tuning expression of thecorresponding genes Moreover overexpression of endogenous or exo-genous genes often results in a metabolic burden and lower host viabilitydue to overconsumption of metabolic precursors (amino acids rRNAATP reducing cofactors) to fuel the synthesis of non-essential proteins(Glick 1995 Wu et al 2016) Protein engineering of bottleneck en-zymes then becomes a more reasonable approach

233 Protein engineering to eliminate bottlenecks of biodegradationpathways

Over the last two decades three distinct strategies were developed toallow the construction and identification of mutant enzymes with de-sirable properties (Bornscheuer et al 2012) The earliest approach ra-tional design exploits various computational techniques such as mole-cular docking homology modelling and molecular dynamics simulationstogether with site-directed mutagenesis protocols to generate targetedmutations that result in single or several modified variants of an enzyme(Damborsky and Brezovsky 2014) In contrast directed evolution usesrandom mutagenesis methods and is beneficial especially in cases whenneither the structure nor the catalytic mechanism of the enzyme isavailable (Brakmann 2001) Random methods of directed evolution arecombined with elements of rational enzyme modification to bypasscertain limitations of both approaches This focused directed evolutionapproach targets several specific residues or certain protein regions se-lected on the basis of prior structural and functional knowledge(Bornscheuer et al 2012) Mutation hot spots are chosen experimentallyand on a much larger scale computationally using powerful new al-gorithms and statistical tools such as HotSpot Wizzard or 3DM tool(Bendl et al 2016 Damborsky and Brezovsky 2014 Kuipers et al2010) A clear trend in recent years is the introduction of protein en-gineering into the metabolic engineering workflow

The activities of many enzymes that act on anthropogenic com-pounds are derived from promiscuous activities that are generally veryinefficient (Khersonsky and Tawfik 2010) In such cases protein

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engineering is the only possible solution Numerous reports from thefirst decade of the 2000s describe application of common protein en-gineering methods such as error-prone PCR DNA shuffling site-di-rected or saturation mutagenesis for engineering activity or selectivityof individual catabolic enzymes to halogenated hydrocarbons (Paralesand Ditty 2005 Wittich et al 2010) Recently the new challenge ofaccumulating plastic waste has attracted the attention of protein en-gineers who try to enhance the activities of certain bacterial or fungalenzymes such as esterases lipases or polyster hydrolases to syntheticpolymers including polyethylene terephthalate (PET) or polyurethanes(Wierckx et al 2015) For instance Wei and colleagues applied acomparison of crystal structures and molecular docking combined withside-directed mutagenesis to improve the activity of cutinase TfCut2from Thermobifida fusca KW3 towards PET at elevated temperaturesthat promote degradation of this oil-derived plastic (Wei et al 2016)Subsequent kinetic and in silico energetic analyses confirmed that theimprovement in PET hydrolysis was the result of a relief of productinhibition caused by single point mutation in the enzymes surface-ex-posed active site New unique PETase and MHETase shown to helpbacterium Indonella sakaiensis to depolymerize and utilize PET arepromissing candidates for protein and metabolic engineering exercisesthat might lead to biotechnological recycling of the polymer(Bornscheuer 2016 Yoshida et al 2016a) Alas such a promise is notdevoid of controversy about the very enzymes that could do the job(Yang et al 2016 Yoshida et al 2016b)

The studies reporting the implantation of constructed mutants in thecontext of the whole biodegradative pathway are nonetheless ratherrare Iwakiri and co-workers successfully applied Alcaligenes sp KF711harbouring engineered monooxygenase P450CAM for the dehalogena-tion of pentachloroethane to trichloroethane in anoxic conditions(Iwakiri et al 2004) In another study promiscuous toluene ortho-monooxygenase and epoxide hydrolase were engineered using DNA-shuffling and saturation mutagenesis the use of mutant genes allowedmore rapid aerobic degradation of chlorinated ethenes with less ac-cumulation of stress-inducing intermediates in recombinant E colibearing the synthetic pathway (Lee et al 2006 Rui et al 2004)

Mutants of DhaA the enzyme that initiates dehalogenation of TCPwere used in three of the previously mentioned studies that focused onTCP pathway engineering (Dvorak et al 2014b Kurumbang et al 2014Samin et al 2014) The DhaA31 variant with 29-fold improved catalyticefficiency towards the chlorinated substrate was prepared by combiningmolecular dynamics simulations of product release from the buried ac-tive site with site-directed and saturation mutagenesis in selected hotspots (Pavlova et al 2009) Another promising mutant with the potentialto remove the second serious bottleneck in the synthetic TCPpathwaymdashenantioselectivity of DhaA and high enantiospecificity ofHheCmdashoriginated from the work of van Leeuwen et al (2012) Theauthors targeted DhaA31 to obtain variants that convert TCP pre-dominantly into (R)-DCP which can be further converted by HheC at amuch higher rate than the (S)-enantiomer Five rounds of focused di-rected evolution using saturation mutagenesis with restricted codon setsprovided mutant DhaA r5-90R with 13 new amino acid substitutions andsubstantially improved (R)-selectivity Mutagenesis nevertheless affectedthe activity with TCP which dropped to wild-type DhaA levels themutant was later shown in in vitro and in vivo studies to be of no value forfurther improvement of TCP pathway efficiency (Dvorak et al 2014bKurumbang et al 2014) Additional engineering input is thus needed toobtain DhaA variants with improved activity and modified enantios-electivity that would promote smooth flux through the syntheticpathway (Fig 4) and allow growth of bacterial recombinants in minimalmedium with the toxic substrate (Kurumbang et al 2014)

It will be necessary to accelerate the processes of laboratory evo-lution and screening of new enzymes with enhanced properties inmutant and metagenomic libraries to make protein engineering ofgreater value in optimizing natural and synthetic catabolic pathways(Bouhajja et al 2016) Selection couples an improved enzyme property

with host survival which allows evengt 109 clonesenzyme variants tobe tested in a reasonable time New selection assays based on toxicsubstrate conversions into a harmless utilizable metabolite coupledwith fluorescence-activated sorting of surviving cells could for ex-ample be applied for the enrichment of new dehalogenase variantsfrom libraries prepared by directed evolution or a semi-rational ap-proach (Fernaacutendez-Aacutelvaro et al 2011 Fibinger et al 2015) Severalrecent studies presented workflows for high-throughput screening andcharacterization of improved enzyme variants or novel enzyme activ-ities These test schemes are based on (i) bioinformatic pre-screeningcombined with high-throughput experimental characterization of can-didate proteins (Bastard et al 2014) (ii) completely automated roboticplatforms manipulating clones growing in microtitre plates (Doumlrr et al2016) (iii) microcapillary arrays coupled with fluorescent assays andlaser extraction for recovery of live clones (Chen et al 2016) or (iv)single-cell sorting based on a fluorescent signal from clones with animplemented synthetic genetic circuit responding to a specific meta-bolite (Choi et al 2014) In silico screening of molecules that fit theactive site cavity of an available enzyme structure or reverse screeningof enzymes that can accommodate target substrate could supplementexperimental methods and reduce the time needed for discovery of newbiocatalysts for recalcitrant chemicals Indeed the potential of in silicoscreening methods was demonstrated when investigating cytochromeP450-mediated metabolism of xenobiotics (Raunio et al 2015) In arecent study by Aukema and colleagues docking and molecular dy-namics simulations allowed selection of biphenyl dioxygenase fromParaburkholderia xenovorans LB400 as the best candidate enzyme formetabolizing carbamazepine one of the most commonly identified re-calcitrant pharmaceuticals in rivers (Aukema et al 2016) The ex-perimentally verified rate of carbamazepine degradation by P xeno-vorans cells was 40-times greater than the best reported rates so far

As shown in the preceding sections the available toolbox of systemsbiology metabolic engineering and protein engineering applicable forre-factoring microbes and their catabolic pathways towards more effi-cient biodegradation of waste chemicals and recalcitrant pollutants isbecoming inordinately large Even so the defined workflows standardsand universally applicable principles for strain optimization were longmissing in the field of metabolic engineering despite which the aim toengineer living systems on a rational basis remained prevalent in thecommunity This goal led metabolic engineers to adopt standards andstrategies from another closely related field of synthetic biology thatwas established primarily to program living systems with a high pre-dictability

3 Synthetic biology approaches and tools for biodegradationpathway engineering

The principal underlying thought in synthetic biology is that anyliving system can be considered a set of separate usable componentsthat can be combined by the means of biological engineering in newarrangements to alter existing features or generate new ones (deLorenzo and Danchin 2008) Such biological engineering can be sim-plified by applying principles adopted from electronic engineering andcomputer science to produce predictable robust systems (genetic con-trol systems metabolic pathways chromosomes and whole cells) withnon-natural functions (Paddon and Keasling 2014) This would beachieved through the fabrication of thoroughly characterized stan-dardized recyclable parts From its very beginnings synthetic biologyhas been confronted with the need to define its practice precisely and todevelop clear generally applicable strategies as this was the only wayto guarantee and implement engineering principles in a field as sto-chastic as biology With its tools standards and the DBTA cyclestrategy synthetic biology has contributed as has no other scientificdiscipline to rationalize metabolic engineering Its bottom-up ap-proaches and synthetic devices are being implemented to make morerobust better controllable microbial cell factories Synthetic biology

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can and to some extent already contributes the same service with itsnew concepts to the fields of biodegradation and bioremediation In thethe Section 3 we will discuss examples of beneficial inclusion of syn-thetic biology into strategies for engineering pathways and whole cellsfor biodegradation of waste and polluting chemicals and perspectivesfor these initiatives

31 Development of robust microbial chassis for biodegradation of toxicchemicals

Genetic instability and negatively affected fitness are frequentlyencountered drawbacks of the native microbial hosts tailored by me-tabolic engineering for specific biodegradation purposes Syntheticbiology offers possible solutions for these problems by implementingDNA synthesis and genome editing strategies Both curiosity and pro-spective practical applications drive synthetic biologists to generatemicrobial cells with deleted parts of their genomes that encode re-dundant cryptic or even deleterious functions Such cells endowedwith a reduced genome as foundation to house and support hetero-logous genetic parts are collectively known as chassis (Adams 2016)An extreme case of a chassis is the so-called minimal cell (Glass et al2006) Chassis can be prepared by de novo synthesis of a reduced targetgenome and its implantation into a suitable cell envelope or throughsystematic deletions of non-essential genes in the genomes of an ex-isting natural host Microarray-based oligonucleotide synthesis is cur-rently used to provide a substrate (usually 5ndash50 oligos) for constructionof larger (usually 200ndash3000 bp) synthetic fragments (Kosuri andChurch 2014) Scarless methods including the popular Gibson as-sembly uracil assembly Golden Gate technology ligase cycling reac-tion or yeast recombination are used to combine sequence-verifiedgene-length fragments in even larger complexes (Casini et al 2015)DNA synthesis also allows preparation of standardized genetic parts(promoters ribosome binding sites genes terminators and so on) withverified codon-optimized sequences Despite breakthroughs in genesynthesis and DNA assembly methods this last approach for chassisconstruction seems far more feasible at the moment considering thelesser demand of chromosome editing experiments the constantly ex-panding portfolio of genetic tools and the growing list of micro-organisms with intentionally reduced genomes (Martiacutenez-Garciacutea and de

Lorenzo 2016 Si et al 2015)Discarding non-essential cell functions shows considerable potential

not only for biosynthetic purposes (Hutchison et al 2016) but also fordesigner biodegradation and bioremediation A recent report on thesystematic deletion of 11 non-adjacent genomic regions in P putidaKT2440 (Fig 5) is a unique example of genome streamlining in apopular bacterial host with well-defined biodegradation capabilities(Martiacutenez-Garciacutea et al 2014b) In all 300 genes were eliminated thatis 43 of the entire KT2440 strain genome using the scar-less deletionprocedure based on homologous recombination after in vivo DNAcleavage by the homing Saccharomyces cerevisiae nuclease I-SceI(Martiacutenez-Garciacutea and de Lorenzo 2012) A suite of functions was tar-geted including the complete flagellar machinery whose assembly andfunction drains ATP from the cells and consumes NAD(P)H Four pro-phages two transposons and three components of DNA restriction-modification systems were also eliminated to minimize genetic in-stability The resulting strains designated P putida EM42 and EM383(the latter lacks the recA gene that encodes recombinase A) showedclearly superior growth properties and improved overall physiologicalvigour compared to wild-type KT2440 Moreover due to the higherNADPHNADP+ ratio the reduced-genome strains also better toleratedendogenous oxidative stress a property that provides a crucial ad-vantage for catalysing harsh biodegradation reactions such as aerobicdehalogenation of chlorinated pollutants (Nikel et al 2013)

Despite their reliability and robustness the procedures based onthese genome editing tools are time- and labour-intensive and re-stricted to a limited number of model microorganisms This problem isnow being challenged by new protocols that profit from the type IIbacterial Clustered Regularly Interspaced Short Palindromic Repeats(CRISPR) and CRISPR-associated protein (Cas) Multiple AutomatedGenome Editing (MAGE) and combinations thereof (Barrangou andvan Pijkeren 2016 Wang et al 2009) Nonetheless these technologiesalso suffer from some weaknesses such as generation of numerous off-target mutations The off-target problem of the CRISPR-Cas system wasrecently mitigated by engineering high-fidelity Cas9 nucleases(Kleinstiver et al 2016) In a similar manner the number of off-targetmutations during MAGE was reduced substantially when temperature-sensitive control of the endogenous methyl-directed mismatch repairsystem was introduced into the E coli host together with a dominant

Fig 4 Hypersurface plot describing the effect of catalytic efficiency (kcatKm) and enantioselectivity (E-value) of haloalkane dehalogenase DhaA on the production of glycerol in the TCPpathway The hypersurface was calculated using the mathematical model of the TCP pathway (Dvorak et al 2014b) using the constraints of Kurumbang and co-workers (Kurumbanget al 2014) Positions of four DhaA variants DhaAwt (wild type kcatKm = 70 Mminus1 sminus1 E-value = 1) DhaA r5-90R (kcatKm = 20 Mminus1 sminus1 E-value = 10) DhaA31 (kcatKm = 600 Mminus1 sminus1 E-value = 1) and hypothetical DhaAXX (kcatKm = 700 Mminus1 sminus1 E-value = 10) are indicated by red dots Note that the majority of mutations (orange spheres)introduced into DhaA r5-90R and DhaA31 are adjacent to the active site (red spheres) and to the access tunnels (in green) Hypothetical enzyme DhaAXX with 10-fold improved catalyticefficiency and 10-fold improved enantioselectivity compared to DhaAwt would enable production of 1 mM glycerol (red line) from 2 mM TCP in the culture of recombinant E coliBL21(DE3) within 24 h time interval Such glycerol concentration will be sufficient to support the cell growth Figure was adopted and modified from (Kurumbang et al 2014) (Forinterpretation of the references to colour in this figure legend the reader is referred to the web version of this article)

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negative mutator allele of the E coli mismatch repair protein MutL(Nyerges et al 2016) By placing this highly conserved allele togetherwith λ Red recombinase genes and a temperature-sensitive λ repressoron a single broad-host range plasmid Nyerges and co-workers provideda simplified MAGE variant (pORTMAGE) that allowed genome editingand mutant library generation in several biotechnologically and clini-cally relevant bacterial species with no need for prior modifications ofparental strains The recent discovery of the Ssr protein from P putidaDOT-T1E a functional homologue of the β protein of the λ Red re-combination system paved the way for oligonucleotide-mediatedmultiplex genome engineering in pseudomonads including P putidaKT2440 and its derived platform strains EM42 and EM383 (Aparicioet al 2016) Continuing facilitated reduction of their genomes (dele-tions of multiple repetitive sequences or certain proteases) and genomesof other relevant bacterial hosts will provide more reliable robustchassis for biodegradation pathway engineering

32 Development of synthetic microbial consortia for enhancedbiodegradation and bioremediation of pollutants

An alternative strategy that allows for the emergence of more robustmicrobe-based bioprocesses is just the opposite of the systematic de-velopment of bacterial chassis based on individual wild-type strainsNatural microbial consortia perform complicated biocatalytic taskssuch as lignocellulose degradation wastewater purification or in-testinal food digestion By dividing the labour and metabolic burdenthe consortium members become more flexible when facing complexenvironmental conditions Distribution of catabolic capacity amongcells of a single organism among different bacterial strains or evenamong species from different kingdoms is pivotal this is especially truefor biodegradation of complex toxic chemicals which encompassesmany steps and harmful intermediates with diverse physicochemicalproperties The idea of exploiting consortia for directed biodegradationof polluting compounds and bioremediation of contaminated sites thuslies ready to hand

Application of natural microbial consortia has already shown pro-mise for bioremediation of sites polluted with anthropogenic pesticidessuch as diclofop methyl or atrazine (Baghapour et al 2013 Wolfaardtet al 1994) Together with the new field of synthetic biology attemptsare being made to modify the structure of original natural consortia ordevelop completely new artificial organizations of co-operating mi-croorganisms For example co-culture of engineered E coli SD2 and Pputida KT2440 was used successfully to mineralize the insecticideparathion in shaken flasks and in biofilm culture (Gilbert et al 2003)In another study complete mineralization of 246-tribromophenol aflame-retardant intermediate and pesticide was achieved using an

artificial anaerobe consortium of reductive debrominator Dehalobactersp FTH1 a hydrogen supplier Clostridium sp Ma13 and the 4-chor-ophenol-degrading strain Desulfatiglans parachlorophenolica DS (Li et al2015) Recently Martiacutenez and co-workers introduced an attractive al-ternative strategy for engineering the 4S pathway (Fig 6A) a para-digmatic bioprocess for removal of the recalcitrant sulphur from aro-matic heterocycles in fuels (Martiacutenez et al 2016) The pathwayencoded by dszABCD genes converts the model compound di-benzothiophene (DBT) into sulphur-free 2-hydroxybiphenyl (2HBP)The authors initially synthesized and re-arranged the original genes andoptimized transcriptional and translational signals for P putida KT2440By dividing the pathway into three separate modules expressed in-dividually they were able to define previously unreported bottlenecksin the pathway that is the inhibitory effect of intermediate 2HBP-sulfinate (HBPS) on DszA and DszC monooxygenases and HBPS leakageinto the culture medium from which it could not be transported backinto the cells for further processing To prevent HBPS accumulationtwo P putida strains bearing dszC1-D1 or dszB1A1-D1 modules weremixed as a suspension of resting cells When the strains were combinedat a 14 ratio and added with cell-free extract containing extra DszBalmost 100 of DBT was transformed into 2HBP in assay conditions

Considerable attention is currently being dedicated to developingstrategies for biodegradation of oil and oil-derived chemicals Patowaryand co-workers designed a potent microbial consortium for prospectivedecontamination of sites exposed to polycyclic aromatic hydrocarbonsfrom crude oil (Patowary et al 2016) The authors first inspected thebiodegradative capacity for total petroleum hydrocarbons of 23 bac-terial isolates from petroleum-contaminated soils and subsequentlydesigned 14 artificial consortia based on the five most efficient isolatesThe best designer consortium comprised of two biosurfactant-produ-cing hydrocarbon-degrading strains of Bacillus pumilus and B cereusshowed up to 84 degradation of total petroleum hydrocarbons afterfive weeks as verified by gravimetric FTIR and GCMS analyses Ap-plication of natural or re-designed bacteria and their consortia alsoholds considerable promise for decomposition of oil-derived plasticwaste (Skariyachan et al 2016 Yoshida et al 2016a 2016b)

New tricks for more efficient biodegradation strategies could beadopted from inspiring current research on synthetic consortia designedto decompose and valorize lignocellulosic biomass (Minty et al 2013)Tozakidis and co-workers reported application of an engineered con-sortium of three P putida strains displaying thermophilic en-doglucanase exoglucanase or β-glucosidase for concerted hydrolysis ofcellulose at elevated temperatures (Tozakidis et al 2016) Some studiesdescribe surface display of whole designer cellulosomes ndash syntheticenzymatic nanomachines whose natural counterparts are produced bycertain cellulolytic bacteria that exploit clustered surface-attached

Fig 5 Engineered Pseudomonas putida KT2440 as a newrobust chassis for biodegradation and bioremediationMartiacutenez-Garciacutea and colleagues used in-house genomeediting tools to streamline the chromosome of Pseudomonasputida KT2440 (Martiacutenez-Garciacutea et al 2014b) Deletion of43 of the original genome gave rise to the new platformstrains EM42 and EM383 whose advantageous propertiesmake them useful chassis for engineering biodegradationpathways and other applications

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cellulases for efficient depolymerization of cellulose and hemicellulose(S Kim et al 2013 Moraiumls et al 2014) The vast majority of the workthat exploits surface display systems for whole-cell removal of en-vironmental contaminants has been restricted to individual proteinssuch as laccases methyl parathion hydrolase or triphenylmethane re-ductase (Gao et al 2014 Liu et al 2016 Yang et al 2012) It istempting to expand available surface display technologies with cellu-losome parts for the design of synthetic consortia that would catalysemore complex biodegradation reactions including polymeric substratesor toxic metabolites outside the cells

Despite their true biotechnological potential microbial consortiaremain too complex for directed long-term application either for bio-synthesis or for biodegradation It is still difficult to engineer home-ostasis and evolutionary stability in an artificial multi-cellular systemwhose behaviour becomes unpredictable with time (Escalante et al2015) Attempts to adopt principles of intercellular communication forsynthetic consortia are just at their beginnings (Hennig et al 2015Scott and Hasty 2016) Intensive co-operation of genetic engineers andevolutionary biologists with microbial ecologists and chemists willobviously be needed to derive a deeper understanding of the processesthat rule the formation and survival of natural microbial consortiaLessons learnt from nature can be implemented and combined withcompletely anthropogenic orthogonal genetic devices for more reliabledesign of stable multicellular systems

33 Development of orthogonal systems in bacteria to enhance pollutantbiodegradation and bioremediation

Orthogonal or in other words parallel independent systems1 is a key

concept in synthetic biology as long as such quality makes live systemsmore amenable to bona fide engineering Orthogonalization involveseg use of unnatural genetic codes (for example quadruplet rather thantriplet) alternative transcription-translation machineries toggleswitches and genetic circuits for assembly of novel metabolic andsignalling pathways from proteins containing non-natural amino acids(An and Chin 2009 Wang et al 2012) Such metabolic pathways couldhave new functions and would synthesize or catabolize a fresh spectrumof compounds Ideally orthogonal pathwaysmodules interact mini-mally with their natural counterparts in the host cell This improvespredictability of the component behaviour and prevents inhibitorycross-talk following introduction of the pathway or circuit into an ex-isting metabolic network (Kim and Copley 2012 Kurumbang et al2014) In an orthogonal module the input and output molecules ofgenetic circuitsmdashor enzymes and metabolites of synthetic biochemicalroutesmdashare not degraded or inactivated by side-reactions or physico-chemical conditions of the host cell While complete orthogonality isvirtually impossible in biological systems a practicable level of context-independence is indeed feasible Some examples of claimed orthogonalsystems include simple synthetic genetic circuits switches or designedmetabolic pathways These have the potential to improve function ofindividual engineered bacteria or synthetic consortia as whole-cellbiosensors and degraders of recalcitrant chemicals

Sensitivity robustness and applicability of microbial biosensors fordetecting heavy metals or halogenated hydrocarbons can be greatlyimproved by implementing orthogonal genetic devices (Bereza-Malcolm et al 2015) Thus far simple microbial biosensor designsbased on one input and two-part regulatory systems with promoter andreporter providing a coloured fluorescent bioluminescent or electricsignal prevail in the literature (Ravikumar et al 2017) Reports onmore complex multi-input systems based on Boolean logic gates are stillrare but give us a clue to future developments in the field As firstoutlined by the work of Wang et al (2016) orthogonally acting multi-

Fig 6 Examples of synthetic biology approaches applied toengineering biodegradation pathways and whole-cell de-graders (a) Martiacutenez and co-workers divided the 4Spathway for sulphur removal from aromatic heterocyclesinto two modules (dszC1-D1 and dszB1A1-D1) that wereexpressed individually in two P putida KT2440 strains toform a synthetic consortium (Martiacutenez et al 2016) Com-bining the strains at a 14 ratio and mixing them with cell-free extract from the third strain producing DszB resulted inalmost complete conversion of dibenzothiophene into sul-phur-free 2-hydroxybiphenyl in assay conditions (b) Wanget al constructed a synthetic bacterial consortium in whicheach of the two E coli strains functioned as a double inputsensor with synthetic AND gates for detecting arsenicmercury and copper ions and quorum sensing molecules(3OC6HSL Wang et al 2013) Strain 2 generated redfluorescence only in the presence of all three metal ions inculture (c) Benedetti and colleagues achieved directedtransition between planktonic and biofilm lifestyles of Pputida KT2440 by controlling cyclic di-GMP levels with anorthogonal genetic device composed of the yedQ diguany-late cyclase gene from E coli under the control of the cy-clohexanone-responsive ChnRPchnB regulatory node fromAcinetobacter johnsonii (Benedetti et al 2016) Designedcells with a synthetic operon for 1-chlorobutane biode-gradation formed inducible biofilms with higher dehalo-genase activity than free planktonic bacteria (d) Dvorakand co-workers assembled the first in vitro synthetic biode-gradation pathway for 123-trichloropropane (TCP) bycombining engineered haloalkane dehalogenase DhaA31halohydrin dehalogenase HheC and epoxide hydrolaseEchA immobilized in cross-linked enzyme aggregates(CLEAS) and polyvinyl alcohol particles (LentiKats) (Dvoraket al 2014a) The immobilized pathway converted highconcentrations of toxic TCP into glycerol in contaminatedwater for more than two months of continuous operation in

a bench-top packed bed reactor (For interpretation of the references to colour in this figure legend the reader is referred to the web version of this article)

1 The mathematical and geometrical concept of orthogonality has been adopted first bycomputing science and then by synthetic biology to signify operative independenceSystem A is orthogonal to system B if A does not influence Bmdashand vice versa

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inputmulti-output logic gates will be especially valuable for detectingmixtures of polluting chemicals (organic inorganic or both) by pro-viding a specific signal for each of the constituents (He et al 2016Wang et al 2011) Developing such biosensors is of practical im-portance as polluted environments are usually burdened with nu-merous contaminants that have diverse physicochemical propertiesThe authors engineered a set of two-input E coli-based biosensors withsynthetic AND gates using signalling sensory modules from native two-component signal transduction pathways as well as hrpR and hrpSgenes along with their HrpL promoter element from P syringae Usingthese sensors they detected arsenic mercury copper and zinc ions aswell as quorum sensing molecules in aqueous environment (Wang et al2011) The most advanced design resulted in a triple-input AND logic-gated biosensor that formed a synthetic bacterial consortium in whicheach of the two members acted as a double input sensor (Fig 6B) In thepresence of arsenic and mercury the first strain formed a quorumsensing molecule (3OC6HSL) that diffused freely into the medium andwas sensed together with Cu2+ by the second strain which provided ared fluorescent signal (Wang et al 2013) The fluorescent response wasseen only when all three metal ions were present in the culture

Reliable orthogonal devices will be crucial for engineering artificialcell-cell communication for instance taking advantage of bacterialquorum sensing systems (Hennig et al 2015 Scott and Hasty 2016)Programming the dynamics of subpopulations of synthetic consortiathat perform complex tasks will be only possible with parallel geneticcircuits and signalling molecules unknown to the host cells (Chen et al2015) As stressed by Silva-Rocha and de Lorenzo (2014) catabolicpathways for recalcitrant and xenobiotic compounds could be a reliablesource of wiring devices and molecules These pathways are frequentlyfound in specific types of organisms and metabolic crosstalk can thusbe avoided by implementing components of such networks in suitablehosts For instance aromatic molecules such as benzoate or phenol canbe used as signal inducers that are recognized by regulatory proteinsthat trigeger expression of target genes The recent determination of thecrystal structure of the sensory domain in the phenol-responsive tran-scription activator PoxR ilustrates how aromatics are sensed in bacteria(Patil et al 2016) This study paves the way for wider application ofrationally engineered transcription regulators responsive to aromaticsin the design of synthetic genetic circuits

The dynamic behaviour of the whole biodegradation pathway canalso be better studied when the route is transferred into a distant hostchassis where it acts orthogonally The orthogonal nature of the syn-thetic pathway for TCP biodegradation in the surrogate host E coliBL21 (DE3) described in Section 231 allowed a very good matchbetween in silico predicted and in vivo metabolite concentrations andprecise description of the bottlenecks (Kurumbang et al 2014) as wellas deciphering the contribution of metabolic burden and substratemetabolite toxicity to the fitness cost of TCP biotransformation bywhole-cell catalysts (Dvorak et al 2015) Despite their benefits for suchmechanistic and proof-of-concept studies laboratory E coli strainsmight not be optimally suited for the harsh conditions that accompanybiodegradation and bioremediation processes (Adams 2016 Nicolaouet al 2010) Development of reliable chassis amenable to implantationof orthogonal genetic devices is therefore desirable These new cellplatforms should be based on robust environmental strains of Pseudo-monas Rhodococcus Deinococcus and other microorganisms with broadmetabolic versatility and natural resistance to organic solvents or heavymetals (Adams 2016)

One can also take advantage of other specific properties of en-vironmental bacteria including formation of a robust biofilm As shownrecently by Benedetti and colleagues the actual physical forms ofwhole-cell biocatalysts can be mastered using orthogonal genetic parts(Fig 6C) through the so-called synthetic morphology approach (Benedettiet al 2016) Pseudomonads generate biofilms with biophysical prop-erties that depend on the species Cyclic di-GMP (c-di-GMP) is the keysignal molecule that rules the complex regulatory network mediating

the transition between planktonic cells and biofilm formation Thisfeature was exploited to design an orthogonal genetic device for ma-nipulating the native c-di-GMP biochemistry in P putida thereby con-trolling biofilm formation (Benedetti et al 2016) The E coli yedQ gene(encoding diguanylate cyclase the enzyme that synthesizes c-di-GMPfrom GTP) was placed under control of a tightly regulated cyclohex-anone-responsive expression system A synthetic operon encoding theenzymes needed for 1-chlorobutane biodegradation was also in-troduced in the engineered biofilm-forming P putida strain Upon ac-tivation of the corresponding genetic modules with appropriate in-ducers the resulting P putida biocatalyst displayed high dehalogenaseactivity in robust biofilms

The modern approaches of biological engineering accelerate thedevelopment of whole-cell biocatalysts for in situ bioremediation orbiosensing of emerging environmental pollutants Field applications ofgenetically modified microorganisms are nonetheless restricted bycurrent legislation and hindered by the unreliable behaviour of re-combinant microbes in complex fluctuating environments Syntheticbiology can help to tackle the major problems through the means de-scribed at the beginning of this chapter ie non-canonical geneticcodes and xenobiochemistry which can prevent diffusion of undesiredsequences into the environmental gene pool differentiate recombinantsfrom their natural counterparts and improve robustness and reliabilityof prepared genetic devices whole-cell degraders and biosensors Theexamples of such endeavours were recently reviewed extensively(Schmidt 2010 Schmidt and de Lorenzo 2016) These systems couldbe combined with bioluminiscence fluorescence or DNA watermarkingtechnologies to track the environmental fate of designer degraders orwith inducible suicide systems for discarding degraders once theirmission is completed (Liss et al 2012 Liu et al 2010 Paul et al2005) Yet the path to applied xenobiology is still crooked and manyethical questions remain Another concept from the portfolio of syn-thetic biology that will be discussed in the following section has thepotential to fill the time gap until we obtain reliable whole-cell catalystsand alternative solutions also acceptable for GMO critics will be pro-vided

34 Engineering microbial biodegradation pathways in vitro

The major principle of cell-free synthetic biology is that purifiedbiomolecules or components in crude cell extracts replace intact cellsfor constructing complex biomolecular systems (Hodgman and Jewett2012) To date metabolic networks that encompassgt 10 enzymeshave been reconstructed in vitro (Rollin et al 2015 Schwander et al2016) Cell-free metabolic pathways allow easy verification of bioca-talyst function determination of kinetic parameters as well as eva-luation of the network by kinetic modelling (Santacoloma et al 2011)Note however that assemby of degradative pathways in cell-free sys-tems (whether with purified enzymes or cell extracts) is not only toprototype and parametrize new routes but also for direct use in thefield (Karig 2017) Despite the drawbacks that cell-free systems cannotself-propagate that certain biomolecules can be sensitive to oxidizingenvironments and that their encapsulation and large-scale productionmight be costly these systems offer an appealing means to circumventproblems associated to GMO release to the environment Apart fromincreasing safety they offer other clear benefits For instance in vitrosystems can operate in the presence of toxins that would inhibit or killlive cells and metabolites regulators and enzymes can be produced inoptimized concentrations without interfering with cell componentsMost important for release and predictability the evolutionary oppor-tunities of such non-live agents are zero making the emergence ofunexpected properties virtually impossible

In vitro metabolic networks can suffer from suboptimal efficiencydue to the lower enzyme concentration compared to the extremelydense cell cytoplasm (Hodgman and Jewett 2012) This issue can bemitigated by enzyme immobilization and improved spatial organization

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via synthetic protein or DNA scaffolds that reduce diffusion of pathwayintermediates and promote substrate channeling (Siu et al 2015) Al-ternatively biocatalysts can be precipitated and covalently inter-connected in cross-linked enzyme aggregate particles (Sheldon 2011)this method was applied successfully to synthesize toxic nucleotideanalogues by an immobilized five-enzyme synthetic pathway (Scismand Bachmann 2010) The biochemical route described was completedwith functional ATP regeneration which demonstrates that in vitrotechnologies can cope with another possible drawback ndash limited co-factor recycling

Thus far mainly single immobilized enzymes or whole-cell bioca-talysts have been exploited in biotechnological processes intended toremove polluting chemicals such as polyethylene terephthalate 24-dinitrophenol atrazine or inorganic nitrates (Barth et al 2016Dehghanifard et al 2013 Mutlu et al 2015 Troumlgl et al 2012) In vitroassays with cell-free extracts or purified enzymes respectively helpedto identify an unknown anaerobic pathway for complete phthalatedegradation to CO2 in Thauera chlorobenzoica 3CB-1 or to decipher se-questration of the highly toxic intermediate tetrachlorobenzoquinone inpentachlorophenol degradation pathway in Sphingobium chlor-ophenolicum (Ebenau-Jehle et al 2017 Yadid et al 2013) Geuekeet al showed the benefits of an in vitro engineering approach in themodel of γ-HCH biodegradation pathway (Geueke et al 2013) Theyused a system of two purified enzymes the dehydrochlorinase LinA andthe haloalkane dehalogenase LinB which initiate biotransformation ofγ-HCH a prohibited insecticide They separately incubated five isomersthat form technical HCH (which used to be applied frequently instead ofpure γ-HCH) with various LinALinB ratios and determined metabolicprofiles of sequential biotransformations Analyses of these profileshelped determine the environmental fate of HCH isomers and showedthat the original HCH degradation pathway is optimized by evolutionfor γ-HCH but not for other isomers that co-pollute contaminated sites

The first report of in vitro assembly of a fully functional syntheticbiodegradation pathway was published by Dvorak and co-workers(Dvorak et al 2014a) The authors adopted the cell-free strategy usingimmobilized engineered haloalkane dehalogenase DhaA31 halohydrindehalogenase HheC and epoxide hydrolase EchA for TCP bio-transformation to harmless valuable glycerol in contaminated water(Fig 6D) The practical utility of bacterial recombinants that mineralizeTCP (desccribed in Sections 231 and 232) is limited by substratetoxicity and by legislative barriers on the application of GMO(Kurumbang et al 2014 Samin et al 2014) Probing the function ofthe pathway in in vitro conditions therefore lied ready to hand Theauthors successfully immobilized the pathway in the form of purifiedenzymes or cell-free extracts in cross-linked enzyme aggregates andlens-shaped polyvinyl alcohol particles The immobilized pathwayshowed almost the same efficiency of TCP-to-glycerol conversion asmixture of free enzymes Physicochemical properties of polyvinyl al-cohol lentils allowed recovery from the reaction mixture and recyclingof the pathway In addition the immobilized enzymes retainedgt 50of their initial activities for over 2 months of continuous operation in abench-top packed bed reactor The study indicated that the im-mobilized route removes TCP from heavily contaminated water with apollutant concentration (~1 gL) that would be detrimental to theliving degraders One can anticipate that such conversions of toxic TCPto useful glycerol could even pave the way for prospective valorizationof this waste chemical

Although this biotechnology requires further validation and tuningthe work showed that in vitro assembly of natural or synthetic enzy-matic pathways with engineered enzymes is a promising concept for thebiodegradation of polluting compounds and toxic industrial wasteproducts Transport of such pathways via non-live carriers is relatedconceptually to efforts to produce and release complex therapeuticagents for human use In both cases their application demands thedevelopment of a sort of environmental Galenic science that enablessupply of the engineered biological remedy when and where needed

4 Towards planet-wide bioremediation interventions CO2

capture as a large-scale challenge

Environmental deterioration due to emissions of recalcitrant che-micals seems to pale when compared to the problem of global warmingcaused by the release of greenhouse gases that originate in human ac-tivities The bulk of these gases comprise four natural molecules carbondioxide (CO2) methane (CH4) nitrous oxide (N2O) and ozone (O3) aswell as one class of xenobiotics the chlorofluorocarbons or CFC Giventhe diluted aereal and global nature of this problem the strategiescontemplated for tackling these chemical species differ considerablyfrom those that centre on site-specific pollution issues Most proposalsthus far focus much more on reducing emissions than on capture andreturning to innocuous chemical or mineral forms All these compoundshave their own natural biogeochemical cycle and in theory simplyreducing their input into the biosphere should restore the originalequilibrium (Rockstroumlm et al 2017) Recent ecological thought none-theless postulates that the impact of climate change in many ecosystemsis already irreversible by natural means and call for large-scale inter-ventions that could help to resolve this impasse (de Lorenzo et al2016) In this case what types of options could be considered from asystemic biology perspective

Some incipient attempts have appeared recently mostly in the fieldof engineering bacteria with a greater capacity for non-photosyntheticfixing of CO2 (Erb and Zarzycki 2016) One option is to use the sixalternative pathways of autotrophic carbon fixation known in nature(Fuchs 2011 Hicks et al 2017) as a starting point to optimize suchnatural processes Another possibilty is the invention of new routes byrewiring or modifying existing enzymes in a new configuration A re-markable example of this solution is the work of Antonovsky et al(2016) who showed that combining metabolic rewiring recombinantprotein expression and laboratory evolution enables the production ofsugars and other biomass constituents by a fully functional Calvin-Benson-Bassham (CBB) cycle in E coli In the bacteria designed in thisway carbon is fixed via a refactored CBB cycle whereas reducingpower and energy are derived from pyruvate oxidation (Fig 7) It isinteresting to note how evolutionary approaches adjust fluxes andgenerate connections between the designed CBB cycle and the hostbiochemical network that cannot be predicted or designed

A separate approach was recently developed by Schwander et al(2016) who developed a synthetic route for continuous CO2 fixation invitro by composing a cycle formed of 17 enzymes that convert CO2 intoorganic molecules The cycle was draughted by metabolic retro-synthesis with enzymes from nine organisms from three domains of lifefurther optimized through rounds of protein engineering and metabolicproofreading Although this completely designed pathway has not yetbeen implemented in vivo (eg in a bacterial carrier) it is a question oftime until it is done and propagated throughout an entire microbialcommunity (de Lorenzo et al 2016)

Finally todays systemic approaches enable the invention of en-zymes from scratch through de novo protein design followed by directedevolution which opens perspectives for improving the natural state ofaffairs regarding fixation of CO2 (and other greenhouse gases) as well asvalorization of this waste as biotechnological feedstocks (Huang et al2016 Renata et al 2015) A separate matter is the large-scale de-ployment of the microbial agents for CO2 retrieval Existing technologyallows their implementation in biofilters and bioreactors that captureemissions at source But how can we spread such desirable catalyticproperties at a very large even at planetary level to make a differenceSuch technologies are not yet availablemdashlet alone that they raise a largenumber of safety questions But they must necessarily be developed ifwe are not just to control greenhouse gas discharges but also aim attheir eventual reduction to pre-industrial levels (de Lorenzo et al2016)

Unfortunately greenhouse gases are not the only globally wide-spread molecules to be concerned about Much before global warming

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associated to CO2 emissions became so conspicuous widespread pol-lution by endocrine disruptors (eg alkylphenols bisphenols DDTPCBs polybrominated diphenyl ethers phthalates and per-fluorooctanoic acid) was well documented Moreover other silent pol-lutants originate in the pharmaceutical industry eg antibiotics(Marathe et al 2017) and hormones They end up in a large variety ofecosystems in a diluted but still active form Finally plastics (egpolycarbonate polystyrene polyethylene terephthalate lowhigh-density polyethylene polypropylene and polyvinyl chloride) are cur-rently receiving a considerable focus as a major environmental pro-blem A number of microbial strains able to totally or partially act uponthese compounds have been isolated (see above) but in general thebiodegradation process is very slow The global nature of these types ofpollution thus requires the development of new efficient microbialpathways for their elimination quite a challenge for contemporarysynthetic biologists and metabolic engineers (de Lorenzo 2017)Butmdashas is the case for CO2 capture mentioned abovemdashpathways andhosts able to deploy them are not enough Effective strategies for globaldispersion of biodegradative activities of interest are badly nee-dedmdashperhaps inspired in gene drives or some type of self-propagatingmassive horizontal gene transfer (de Lorenzo et al 2016)

5 Conclusions and perspectives

The practical examples described in the preceding sections showthat technologies of systemic biology offer promise not only for therenaissance of bioremediation using anthropogenically enhanced mi-crobial degraders but also for entry to the new era of Bioremediation30 The bottlenecks described at the beginning of this text are one byone being released or removed with the help of new computational andexperimental tools Databases and pathway prediction systems help the

user to select suitable chemically and energetically feasible traits fordesired tasks Multi-omic analyses provide valuable information thatfacilitates choice of a suitable host Genome-scale and kinetic modelsapplied hand-in-hand with genetic engineering techniques enable tai-loring of gene expression reduction of metabolic burden and pathwayoptimization in the context of host metabolism The visionary conceptsof synthetic biology and global scale CO2 bioremediation open up newdimensions for engineering microbial degraders General work schemesand standards for design building and fine-tuning of selected bio-chemical routes networks and whole-cell biocatalysts are simulta-neously becoming better defined and accepted by the community

Despite the clear progress over the last decade of biochemical andbiological engineering the vast complexity of the living cell remainsthe major hurdle for any attempt for fully rational pathway design Inthe case of biosensing and biodegradation pathway design and pro-spective applications of the genetically-modified microbes this problemis exacerbated by the complexity of intercellular and interspecific in-teractions and by the still poorly understood interplay between thebiotic and abiotic factors that govern contaminant biodegradation inpolluted ecosystems (de Lorenzo 2008 Meckenstock et al 2015) Weassume that in principle there are two ways to address this challengenow and in future

The first admits that complexity of biological systems will not beresolved anytime soon and thus bets on combining rational designs withnatural evolution at the end of the DBTA cycle thus expanding it toDBTAE (Design-Build-Test-Analyze-Evolve) Adaptive laboratory evo-lution (ALE) is a high calibre tool of this approach ALE is now frequentlyused by academic and industrial laboratories to evolve desired prop-erties in environmental bacteria and for fine-tuning recombinant mi-croorganisms but its principles have been well known since the time ofthe very first attempts to modify microbial phenotypes (Kellogg et al

Fig 7 Hemiautotrophic growth of engineered E coli al-lowed by decoupling energy production and carbon fixa-tion The hemiautotrophic growth was observed after per-forming three distinct steps (i) Calvin-Benson-Bassham(CBB) cycle for the biosynthesis of sugars from CO2 wascompleted by introducing only two exogenous enzymaticactivities phosphoribulokinase (prkA) and RuBisCO (ii)phosphoglycerate mutase genes gpmA and gpmM were de-leted to separate central metabolism into two sub-systemsie a CO2-fixing part that included PrkA RuBisCO upperglycolysis and the pentose phosphate pathway and an en-ergy-supplying module that employed lower glycolysis andthe TCA cycle (iii) the engineered strain bearing furthermutations (ΔpfkA ΔpfkB Δzwf) was exposed to the strongselective pressure towards greater carbon fixation in xylose-limited chemostat with a surplus pyruvate and CO2Emerged mutations made designed CBB cycle functionaland the hemiautotrophic strain that replaced utilisation ofxylose with CO2 fixation dominated the populationFigure adapted from Antonovsky et al (2016)

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1981) In biodegradation research exposing microorganisms with de-sirable catabolic traits to the target chemical(s) for prolonged intervalsin chemostat or shaken-flask cultures enabled isolation of bacteria ableto use persistent compounds such as 245-trichlorophenoxyacetic acid(the defoliating Agent Orange) or helped improve atrazine degradationrates by Pseudomonas sp ADP or 24-dichlorophenoxyacetic by Ral-stonia sp TFD41 (Devers et al 2008 Kellogg et al 1981 Nakatsuet al 1998) Nonetheless the potential of ALE in engineering microbialdegraders has yet not been fully exploited ALE will be an ideal tool forempowering rationally pre-designed recombinants with resistance todiverse environmental stresses encountered in directed biodegradationprocesses or in polluted ecosystems (Nicolaou et al 2010 Oide et al2015 Wang et al 2016) When combined with whole-genome se-quencing and reverse engineering ALE as an evolutionary ldquoblindrdquo ap-proach can paradoxically contribute to further rationalizing the field byexposing otherwise unpredictable complex changes in multitrait phe-notypes

The second approach bets on technology without compromise andwill take advantage of continuing technological revolution in biologyand related sciences We recently witnessed the attempt of syntheticbiologists to implement automation as we know it from electronic en-gineering in the design of orthogonal genetic circuits that would co-ordinate the actions of selected microbial chassis (Nielsen et al 2016)The genetic ldquogutsrdquo and pathway enzymes of the chassis can be designedand synthesized de novo or be tailored rapidly with surgical precisionusing new genome editing and protein engineering tools (Huang et al2016 Hutchison et al 2016 Nyerges et al 2016 Ran et al 2013Renata et al 2015) Although the circuit design tools still work pre-dominantly with simple logic gates the robustness and utility of theavailable minimal cells is limited and de novo-designed enzymes havelow activity we can assume that the efficiency reliability and timedemand of such exercises will be further improved by progress incomputer science and artificial intelligence development that couldcrack the complexity of life A purely technological approach wouldomit any unknowns from the DBTA cycle with help of reliable com-putational simulations thus expanding it to DSBTA (Design-Simulate-Build-Test-Analyze) and providing space for construction of whole-cellcatalysts perfectly tailored for specific biodegradation tasks

The challenges of both approaches applied to directed in situ bior-emediation encompass the development of test schemes that will ex-pose engineered organisms to mimicked environmental conditions in-cluding limiting carbon sources lack of oxygen or redox recycling masstransfer perturbations or interspecific predation (Meckenstock et al2015) A critical issue will be the choice and establishment of newchassis organisms better suited to field biotransformations than thecurrently available laboratory strains in terms of resistance to harshconditions including extreme pH temperature osmotic pressure orfluctuating concentrations of toxic chemicals (Adams 2016) Thesenew strains must simultaneously be reliable amenable to genetic ma-nipulation have mapped genomes and ideally metabolic models athand The in situ bioremediation quests will be complicated by thevarying nature of polluting compounds their mixtures and transfor-mation products all of which can be present at a single site (Sarigiannisand Hansen 2012) Future microbial degraders must therefore be de-signed to cope with several problem compounds in parallel and notonly in terms of degradation or mineralization The succesful conver-sion of dangerous contaminants into usable molecules that can be fur-ther valorized by whole-cell or cell-free biocatalysts is a desirablestarting point for the development of new technologies that extendstandard concepts of biodegradation and bioremediation (Dvorak et al2014a Wigginton et al 2012) Microbe-driven trash-to-treasure con-versions are known from established biomass valorization processesbut this concept can also be implemented in wastewater treatmentmetal and plastic recycling or in direct valorization of industrial by-product streams or captured greenhouse gases (Bornscheuer 2016Koutinas et al 2014 Nancharaiah et al 2016 Wierckx et al 2015)

Even so the major challenge to the entire field of engineered de-graders is not related to continued progress in the development of im-proved technologies which is inevitable but rather to the dissemina-tion and popularization of achievements already attained Publicenvironmental concerns and regulatory constraints have not just re-stricted field tests of genetically modified microbes but also affect thequality of fundamental research and by the same token overall pro-gress in the field The exercises described in this review will only have achance to become real enterprises if the general population is inspiredby biotechnology and accepts it as an inseparable part of our dailyroutine as it did for information technology The new systemic dis-ciplines that make life less puzzling as well as emerging do-it-yourselfmovement in biotechnology can undoubtedly contribute to a generalchange of attitude (de Lorenzo and Schmidt 2017) Such change isvital because our ability to minimize production of waste and pollutingchemicals remove existing waste or use it in bioprocesses to formvalue-added compounds will shape the fate of our society on a globalscale

Acknowledgements

PD is the holder of the Marie Sklodowska-Curie grant No 704410(FUTURE) The work in Authors Laboratory was funded by theCAMBIOS Project of the Spanish Ministry of Economy andCompetitiveness RTC-2014-1777-3 (MINECO) HELIOS Project of theSpanish Ministry of Economy and Competitiveness BIO 2015-66960-C3-2-R (MINECOFEDER) and the ARISYS (ERC-2012-ADG-322797)EmPowerPutida (EU-H2020-BIOTEC-2014-2015-6335536) andRaft4Biotech (720776) contracts of the European Union JD is sup-ported also by the Czech Ministry of Education (LQ1605 LO1214LM2015055) and Czech Grant Agency (GA16-06096S) The financialsupport of The Novo Nordisk Foundation to PIN is also gratefully ac-knowledged

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Adams BL 2016 The next generation of synthetic biology chassis moving syntheticbiology from the laboratory to the field ACS Synth Biol 5 1328ndash1330 httpdxdoiorg101021acssynbio6b00256

Adetutu EM Gundry TD Patil SS Golneshin A Adigun J Bhaskarla V Aleer SShahsavari E Ross E Ball AS 2015 Exploiting the intrinsic microbial de-gradative potential for field-based in situ dechlorination of trichloroethene con-taminated groundwater J Hazard Mater 300 48ndash57 httpdxdoiorg101016jjhazmat201506055

Alexander M 1999 Biodegradation and Bioremediation Academic PressAmde M Liu J-F Pang L 2015 Environmental application fate effects and con-

cerns of ionic liquids a review Environ Sci Technol 49 12611ndash12627 httpdxdoiorg101021acsest5b03123

An W Chin JW 2009 Synthesis of orthogonal transcription-translation networksProc Natl Acad Sci U S A 106 8477ndash8482 httpdxdoiorg101073pnas0900267106

Antonovsky N Gleizer S Noor E Zohar Y Herz E Barenholz U Zelcbuch LAmram S Wides A Tepper N Davidi D Bar-On Y Bareia T Wernick DGShani I Malitsky S Jona G Bar-Even A Milo R 2016 Sugar synthesis fromCO2 in Escherichia coli Cell 166 115ndash125 httpdxdoiorg101016jcell201605064

Aparicio T Jensen SI Nielsen AT de Lorenzo V Martiacutenez-Garciacutea E 2016 The Ssrprotein (T1E_1405) from Pseudomonas putida DOT-T1E enables oligonucleotide-basedrecombineering in platform strain P putida EM42 Biotechnol J 11 1309ndash1319httpdxdoiorg101002biot201600317

Arora PK Bae H 2014 Integration of bioinformatics to biodegradation Biol ProcedOnline 16 8 httpdxdoiorg1011861480-9222-16-8

Aukema KG Escalante DE Maltby MM Bera AK Aksan A Wackett LP 2016In silico identification of bioremediation potential carbamazepine and other re-calcitrant personal care products Environ Sci Technol httpdxdoiorg101021acsest6b04345

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Bailey JE 1991 Toward a science of metabolic engineering Science 252 1668ndash1675Barrangou R van Pijkeren J-P 2016 Exploiting CRISPR-Cas immune systems for

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Barth M Honak A Oeser T Wei R Belisaacuterio-Ferrari MR Then J Schmidt JZimmermann W 2016 A dual enzyme system composed of a polyester hydrolase

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and a carboxylesterase enhances the biocatalytic degradation of polyethylene ter-ephthalate films Biotechnol J 11 1082ndash1087 httpdxdoiorg101002biot201600008

Bastard K Smith AAT Vergne-Vaxelaire C Perret A Zaparucha A De Melo-Minardi R Mariage A Boutard M Debard A Lechaplais C Pelle C PellouinV Perchat N Petit J-L Kreimeyer A Medigue C Weissenbach J ArtiguenaveF De Berardinis V Vallenet D Salanoubat M 2014 Revealing the hiddenfunctional diversity of an enzyme family Nat Chem Biol 10 42ndash49 httpdxdoiorg101038nchembio1387

Batth TS Keasling JD Petzold CJ 2012 Targeted proteomics for metabolicpathway optimization Methods Mol Biol 944 237ndash249 (Clifton NJ) httpdxdoiorg101007978-1-62703-122-6_17

Belda E van Heck RGA Joseacute Lopez-Sanchez M Cruveiller S Barbe V Fraser CKlenk H-P Petersen J Morgat A Nikel PI Vallenet D Rouy Z Sekowska AMartins Dos Santos VAP de Lorenzo V Danchin A Meacutedigue C 2016 Therevisited genome of Pseudomonas putida KT2440 enlightens its value as a robustmetabolic chassis Environ Microbiol 18 3403ndash3424 httpdxdoiorg1011111462-292013230

Bendl J Stourac J Sebestova E Vavra O Musil M Brezovsky J Damborsky J2016 HotSpot Wizard 20 automated design of site-specific mutations and smartlibraries in protein engineering Nucleic Acids Res 44 W479ndash487 httpdxdoiorg101093nargkw416

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Benfenati E 2007 Predicting toxicity through computers a changing world ChemCent J 1 32 httpdxdoiorg1011861752-153X-1-32

Bereza-Malcolm LT Mann G Franks AE 2015 Environmental sensing of heavymetals through whole cell microbial biosensors a synthetic biology approach ACSSynth Biol 4 535ndash546 httpdxdoiorg101021sb500286r

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Bornscheuer UT 2016 Microbiology Feeding on plastic Science 351 1154ndash1155httpdxdoiorg101126scienceaaf2853

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Boyle PM Silver PA 2012 Parts plus pipes synthetic biology approaches to meta-bolic engineering Metab Eng 14 223ndash232 httpdxdoiorg101016jymben201110003

Brakmann S 2001 Discovery of superior enzymes by directed molecular evolutionChembiochem Eur J Chem Biol 2 865ndash871

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Buryska T Daniel L Kunka A Brezovsky J Damborsky J Prokop Z 2016Discovery of novel Haloalkane dehalogenase inhibitors Appl Environ Microbiol 821958ndash1965 httpdxdoiorg101128AEM03916-15

Buumlscher JM Czernik D Ewald JC Sauer U Zamboni N 2009 Cross-platformcomparison of methods for quantitative metabolomics of primary metabolism AnalChem 81 2135ndash2143 httpdxdoiorg101021ac8022857

Carbonell P Parutto P Baudier C Junot C Faulon J-L 2014 Retropath auto-mated pipeline for embedded metabolic circuits ACS Synth Biol 3 565ndash577 httpdxdoiorg101021sb4001273

Cardinale S Tueros FG Sommer MOA 2017 Genetic-metabolic coupling for tar-geted metabolic engineering Cell Rep 20 1029ndash1037 httpdxdoiorg101016jcelrep201707015

Cases I de Lorenzo V 2005 Genetically modified organisms for the environmentstories of success and failure and what we have learned from them Int Microbiol 8213ndash222

Casini A Storch M Baldwin GS Ellis T 2015 Bricks and blueprints methods andstandards for DNA assembly Nat Rev Mol Cell Biol 16 568ndash576 httpdxdoiorg101038nrm4014

Caspi R Billington R Ferrer L Foerster H Fulcher CA Keseler IM Kothari AKrummenacker M Latendresse M Mueller LA Ong Q Paley S Subhraveti PWeaver DS Karp PD 2016 The MetaCyc database of metabolic pathways andenzymes and the BioCyc collection of pathwaygenome databases Nucleic Acids Res44 D471ndash480 httpdxdoiorg101093nargkv1164

Chakraborty R Wu CH Hazen TC 2012 Systems biology approach to bior-emediation Curr Opin Biotechnol 23 483ndash490 httpdxdoiorg101016jcopbio201201015

Chang A Schomburg I Placzek S Jeske L Ulbrich M Xiao M Sensen CWSchomburg D 2015 BRENDA in 2015 exciting developments in its 25th year ofexistence Nucleic Acids Res 43 D439ndash446 httpdxdoiorg101093nargku1068

Chavarriacutea M Nikel PI Peacuterez-Pantoja D de Lorenzo V 2013 The Entner-Doudoroffpathway empowers Pseudomonas putida KT2440 with a high tolerance to oxidative

stress Environ Microbiol 15 1772ndash1785 httpdxdoiorg1011111462-292012069

Chen L Lu J Zhang J Feng K-R Zheng M-Y Cai Y-D 2013 Predicting chemicaltoxicity effects based on chemical-chemical interactions PLoS One 8 e56517 httpdxdoiorg101371journalpone0056517

Chen Y Kim JK Hirning AJ Josić K Bennett MR 2015 Synthetic biologyEmergent genetic oscillations in a synthetic microbial consortium Science 349986ndash989 httpdxdoiorg101126scienceaaa3794

Chen B Lim S Kannan A Alford SC Sunden F Herschlag D Dimov IK BaerTM Cochran JR 2016 High-throughput analysis and protein engineering usingmicrocapillary arrays Nat Chem Biol 12 76ndash81 httpdxdoiorg101038nchembio1978

Choi S-L Rha E Lee SJ Kim H Kwon K Jeong Y-S Rhee YH Song JJ KimH-S Lee S-G 2014 Toward a generalized and high-throughput enzyme screeningsystem based on artificial genetic circuits ACS Synth Biol 3 163ndash171 httpdxdoiorg101021sb400112u

Chowdhury A Zomorrodi AR Maranas CD 2014 k-OptForce integrating kineticswith flux balance analysis for strain design PLoS Comput Biol 10 e1003487 httpdxdoiorg101371journalpcbi1003487

Chowdhury A Khodayari A Maranas CD 2015 Improving prediction fidelity ofcellular metabolism with kinetic descriptions Curr Opin Biotechnol 36 57ndash64httpdxdoiorg101016jcopbio201508011

Costa RS Machado D Rocha I Ferreira EC 2011 Critical perspective on theconsequences of the limited availability of kinetic data in metabolic dynamic mod-elling IET Syst Biol 5 157ndash163 httpdxdoiorg101049iet-syb20090058

Dai Z Nielsen J 2015 Advancing metabolic engineering through systems biology ofindustrial microorganisms Curr Opin Biotechnol 36 8ndash15 httpdxdoiorg101016jcopbio201508006

Damborsky J Brezovsky J 2014 Computational tools for designing and engineeringenzymes Curr Opin Chem Biol 19 8ndash16 httpdxdoiorg101016jcbpa201312003

de la Pentildea Mattozzi M Tehara SK Hong T Keasling JD 2006 Mineralization ofparaoxon and its use as a sole C and P source by a rationally designed catabolicpathway in Pseudomonas putida Appl Environ Microbiol 72 6699ndash6706 httpdxdoiorg101128AEM00907-06

de Lorenzo V 2008 Systems biology approaches to bioremediation Curr OpinBiotechnol 19 579ndash589 httpdxdoiorg101016jcopbio200810004

de Lorenzo V 2009 Recombinant bacteria for environmental release what went wrongand what we have learnt from it Clin Microbiol Infect 15 (Suppl 1) 63ndash65 httpdxdoiorg101111j1469-0691200802683x

de Lorenzo V 2017 Seven microbial bio-processes to help the planet EnvironMicrobiol httponlinelibrarywileycomdoi1011111751-791512816full

de Lorenzo V Danchin A 2008 Synthetic biology discovering new worlds and newwords EMBO Rep 9 822ndash827 httpdxdoiorg101038embor2008159

de Lorenzo V Schmidt M 2017 The do-it-yourself movement as a source of innovationin biotechnology - and much more Microb Biotechnol 10 517ndash519 httpdxdoiorg1011111751-791512715

de Lorenzo V Marliegravere P Soleacute R 2016 Bioremediation at a global scale from the testtube to planet Earth Microb Biotechnol 9 618ndash625 httpdxdoiorg1011111751-791512399

Dehghanifard E Jonidi Jafari A Rezaei Kalantary R Mahvi AH Faramarzi MAEsrafili A 2013 Biodegradation of 24-dinitrophenol with laccase immobilized onnano-porous silica beads Iranian J Environ Health Sci Eng 10 httpdxdoiorg1011861735-2746-10-25

Deleacutepine B Libis V Carbonell P Faulon J-L 2016 SensiPath computer-aided de-sign of sensing-enabling metabolic pathways Nucleic Acids Res 44 W226ndash231httpdxdoiorg101093nargkw305

Devers M Rouard N Martin-Laurent F 2008 Fitness drift of an atrazine-degradingpopulation under atrazine selection pressure Environ Microbiol 10 676ndash684httpdxdoiorg101111j1462-2920200701490x

Dombrowski N Donaho JA Gutierrez T Seitz KW Teske AP Baker BJ 2016Reconstructing metabolic pathways of hydrocarbon-degrading bacteria from theDeepwater Horizon oil spill Nat Microbiol 1 16057 httpdxdoiorg101038nmicrobiol201657

Doumlrr M Fibinger MPC Last D Schmidt S Santos-Aberturas J Boumlttcher DHummel A Vickers C Voss M Bornscheuer UT 2016 Fully automatized high-throughput enzyme library screening using a robotic platform Biotechnol Bioeng113 1421ndash1432 httpdxdoiorg101002bit25925

Dvorak P Bidmanova S Damborsky J Prokop Z 2014a Immobilized syntheticpathway for biodegradation of toxic recalcitrant pollutant 123-trichloropropaneEnviron Sci Technol 48 6859ndash6866 httpdxdoiorg101021es500396r

Dvorak P Kurumbang NP Bendl J Brezovsky J Prokop Z Damborsky J 2014bMaximizing the efficiency of multienzyme process by stoichiometry optimizationChembiochem Eur J Chem Biol 15 1891ndash1895 httpdxdoiorg101002cbic201402265

Dvorak P Chrast L Nikel PI Fedr R Soucek K Sedlackova M Chaloupkova Rde Lorenzo V Prokop Z Damborsky J 2015 Exacerbation of substrate toxicity byIPTG in Escherichia coli BL21(DE3) carrying a synthetic metabolic pathway MicrobCell Factories 14 201 httpdxdoiorg101186s12934-015-0393-3

Ebenau-Jehle C Mergelsberg M Fischer S Bruumlls T Jehmlich N von Bergen MBoll M 2017 An unusual strategy for the anoxic biodegradation of phthalate ISMEJ 11 224ndash236 httpdxdoiorg101038ismej201691

Erb TJ Zarzycki J 2016 Biochemical and synthetic biology approaches to improvephotosynthetic CO2-fixation Curr Opin Chem Biol 34 72ndash79 httpdxdoiorg101016jcbpa201606026

Eriksson L Jaworska J Worth AP Cronin MTD McDowell RM Gramatica P

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2003 Methods for reliability and uncertainty assessment and for applicability eva-luations of classification- and regression-based QSARs Environ Health Perspect 1111361ndash1375

Escalante AE Rebolleda-Goacutemez M Beniacutetez M Travisano M 2015 Ecological per-spectives on synthetic biology insights from microbial population biology FrontMicrobiol 6 143 httpdxdoiorg103389fmicb201500143

Fernaacutendez-Aacutelvaro E Snajdrova R Jochens H Davids T Boumlttcher D BornscheuerUT 2011 A combination of in vivo selection and cell sorting for the identification ofenantioselective biocatalysts Angew Chem Int Ed Eng 50 8584ndash8587 httpdxdoiorg101002anie201102360

Fibinger MPC Davids T Boumlttcher D Bornscheuer UT 2015 A selection assay forhaloalkane dehalogenase activity based on toxic substrates Appl MicrobiolBiotechnol 99 8955ndash8962 httpdxdoiorg101007s00253-015-6686-y

Finley SD Broadbelt LJ Hatzimanikatis V 2009 Computational framework forpredictive biodegradation Biotechnol Bioeng 104 1086ndash1097 httpdxdoiorg101002bit22489

Finley SD Broadbelt LJ Hatzimanikatis V 2010 In silico feasibility of novel bio-degradation pathways for 124-trichlorobenzene BMC Syst Biol 4 7 httpdxdoiorg1011861752-0509-4-7

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Fuchs G 2011 Alternative pathways of carbon dioxide fixation insights into the earlyevolution of life Annu Rev Microbiol 65 631ndash658 httpdxdoiorg101146annurev-micro-090110-102801

Gao J Ellis LBM Wackett LP 2010 The University of Minnesota BiocatalysisBiodegradation Database improving public access Nucleic Acids Res 38 D488ndash491httpdxdoiorg101093nargkp771

Gao F Ding H Feng Z Liu D Zhao Y 2014 Functional display of triphenylmethanereductase for dye removal on the surface of Escherichia coli using N-terminal domainof ice nucleation protein Bioresour Technol 169 181ndash187 httpdxdoiorg101016jbiortech201406093

Geueke B Garg N Ghosh S Fleischmann T Holliger C Lal R Kohler H-PE2013 Metabolomics of hexachlorocyclohexane (HCH) transformation ratio of LinAto LinB determines metabolic fate of HCH isomers Environ Microbiol 151040ndash1049 httpdxdoiorg1011111462-292012009

Gilbert ES Walker AW Keasling JD 2003 A constructed microbial consortium forbiodegradation of the organophosphorus insecticide parathion Appl MicrobiolBiotechnol 61 77ndash81 httpdxdoiorg101007s00253-002-1203-5

Glass JI Assad-Garcia N Alperovich N Yooseph S Lewis MR Maruf MHutchison CA Smith HO Venter JC 2006 Essential genes of a minimal bac-terium Proc Natl Acad Sci U S A 103 425ndash430 httpdxdoiorg101073pnas0510013103

Glick BR 1995 Metabolic load and heterologous gene expression Biotechnol Adv 13247ndash261

Guazzaroni M-E Herbst F-A Lores I Tamames J Pelaacuteez AI Loacutepez-Corteacutes NAlcaide M Del Pozo MV Vieites JM von Bergen M Gallego JLR BargielaR Loacutepez-Loacutepez A Pieper DH Rosselloacute-Moacutera R Saacutenchez J Seifert J FerrerM 2013 Metaproteogenomic insights beyond bacterial response to naphthaleneexposure and bio-stimulation ISME J 7 122ndash136 httpdxdoiorg101038ismej201282

Gredell JA Frei CS Cirino PC 2012 Protein and RNA engineering to customizemicrobial molecular reporting Biotechnol J 7 477ndash499 httponlinelibrarywileycomdoi101002biot201100266full

Gutierrez T Singleton DR Berry D Yang T Aitken MD Teske A 2013Hydrocarbon-degrading bacteria enriched by the Deepwater Horizon oil spill iden-tified by cultivation and DNA-SIP ISME J 7 2091ndash2104 httpdxdoiorg101038ismej201398

Hadadi N Hafner J Shajkofci A Zisaki A Hatzimanikatis V 2016 ATLAS ofbiochemistry a repository of all possible biochemical reactions for synthetic biologyand metabolic engineering studies ACS Synth Biol 5 1155ndash1166 httpdxdoiorg101021acssynbio6b00054

Haro MA de Lorenzo V 2001 Metabolic engineering of bacteria for environmentalapplications construction of Pseudomonas strains for biodegradation of 2-chlor-otoluene J Biotechnol 85 103ndash113

Hatzimanikatis V Li C Ionita JA Henry CS Jankowski MD Broadbelt LJ2005 Exploring the diversity of complex metabolic networks Bioinforma Oxf Engl21 1603ndash1609 httpdxdoiorg101093bioinformaticsbti213

He W Yuan S Zhong W-H Siddikee MA Dai C-C 2016 Application of geneti-cally engineered microbial whole-cell biosensors for combined chemosensing ApplMicrobiol Biotechnol 100 1109ndash1119 httpdxdoiorg101007s00253-015-7160-6

Hennig S Roumldel G Ostermann K 2015 Artificial cell-cell communication as anemerging tool in synthetic biology applications J Biol Eng 9 13 httpdxdoiorg101186s13036-015-0011-2

Hicks N Vik U Taylor P Ladoukakis E Park J Kolisis F Jakobsen KS 2017Using prokaryotes for carbon capture storage Trends Biotechnol 35 22ndash32 httpdxdoiorg101016jtibtech201606011

Hodgman CE Jewett MC 2012 Cell-free synthetic biology thinking outside the cellMetab Eng 14 261ndash269 httpdxdoiorg101016jymben201109002

Huang P-S Boyken SE Baker D 2016 The coming of age of de novo protein designNature 537 320ndash327 httpdxdoiorg101038nature19946

Hutchison CA Chuang R-Y Noskov VN Assad-Garcia N Deerinck TJ EllismanMH Gill J Kannan K Karas BJ Ma L Pelletier JF Qi Z-Q Richter RAStrychalski EA Sun L Suzuki Y Tsvetanova B Wise KS Smith HO GlassJI Merryman C Gibson DG Venter JC 2016 Design and synthesis of aminimal bacterial genome Science 351 aad6253 httpdxdoiorg101126

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Total degradation of pentachloroethane by an engineered Alcaligenes strain expres-sing a modified camphor monooxygenase and a hybrid dioxygenase BiosciBiotechnol Biochem 68 1353ndash1356 httpdxdoiorg101271bbb681353

Izallalen M Mahadevan R Burgard A Postier B Didonato R Sun J SchillingCH Lovley DR 2008 Geobacter sulfurreducens strain engineered for increasedrates of respiration Metab Eng 10 267ndash275 httpdxdoiorg101016jymben200806005

Janssen DB Dinkla IJT Poelarends GJ Terpstra P 2005 Bacterial degradation ofxenobiotic compounds evolution and distribution of novel enzyme activitiesEnviron Microbiol 7 1868ndash1882 httpdxdoiorg101111j1462-2920200500966x

Kanehisa M Goto S Sato Y Kawashima M Furumichi M Tanabe M 2014 Datainformation knowledge and principle back to metabolism in KEGG Nucleic AcidsRes 42 D199ndash205 httpdxdoiorg101093nargkt1076

Karig DK 2017 Cell-free synthetic biology for environmental sensing and remediationCurr Opin Biotechnol 45 69ndash75 httpdxdoiorg101016jcopbio201701010

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Khersonsky O Tawfik DS 2010 Enzyme promiscuity a mechanistic and evolutionaryperspective Annu Rev Biochem 79 471ndash505 httpdxdoiorg101146annurev-biochem-030409-143718

Kim J Copley SD 2012 Inhibitory cross-talk upon introduction of a new metabolicpathway into an existing metabolic network Proc Natl Acad Sci U S A 109E2856ndash2864 httpdxdoiorg101073pnas1208509109

Kim S Baek S-H Lee K Hahn J-S 2013a Cellulosic ethanol production using ayeast consortium displaying a minicellulosome and β-glucosidase Microb CellFactories 12 14 httpdxdoiorg1011861475-2859-12-14

Kim J Oliveros JC Nikel PI de Lorenzo V Silva-Rocha R 2013b Transcriptomicfingerprinting of Pseudomonas putida under alternative physiological regimesEnviron Microbiol Rep 5 883ndash891 httpdxdoiorg1011111758-222912090

Kim S Thiessen PA Bolton EE Chen J Fu G Gindulyte A Han L He J He SShoemaker BA Wang J Yu B Zhang J Bryant SH 2016 PubChem substanceand compound databases Nucleic Acids Res 44 D1202ndash1213 httpdxdoiorg101093nargkv951

King ZA Lloyd CJ Feist AM Palsson BO 2015 Next-generation genome-scalemodels for metabolic engineering Curr Opin Biotechnol 35 23ndash29 httpdxdoiorg101016jcopbio201412016

Kleinstiver BP Pattanayak V Prew MS Tsai SQ Nguyen NT Zheng Z JoungJK 2016 High-fidelity CRISPR-Cas9 nucleases with no detectable genome-wide off-target effects Nature 529 490ndash495 httpdxdoiorg101038nature16526

Kosuri S Church GM 2014 Large-scale de novo DNA synthesis technologies andapplications Nat Methods 11 499ndash507 httpdxdoiorg101038nmeth2918

Koutinas AA Vlysidis A Pleissner D Kopsahelis N Lopez Garcia I Kookos IKPapanikolaou S Kwan TH Lin CSK 2014 Valorization of industrial waste andby-product streams via fermentation for the production of chemicals and biopoly-mers Chem Soc Rev 43 2587ndash2627 httpdxdoiorg101039c3cs60293a

Krewski D Andersen ME Mantus E Zeise L 2009 Toxicity testing in the 21stcentury implications for human health risk assessment Risk Anal 29 474ndash479httpdxdoiorg101111j1539-6924200801150x

Kube M Chernikova TN Al-Ramahi Y Beloqui A Lopez-Cortez N Guazzaroni M-E Heipieper HJ Klages S Kotsyurbenko OR Langer I Nechitaylo TYLuumlnsdorf H Fernaacutendez M Juaacuterez S Ciordia S Singer A Kagan O Egorova OPetit PA Stogios P Kim Y Tchigvintsev A Flick R Denaro R Genovese MAlbar JP Reva ON Martiacutenez-Gomariz M Tran H Ferrer M Savchenko AYakunin AF Yakimov MM Golyshina OV Reinhardt R Golyshin PN 2013Genome sequence and functional genomic analysis of the oil-degrading bacteriumOleispira antarctica Nat Commun 4 2156 httpdxdoiorg101038ncomms3156

Kuipers RK Joosten H-J van Berkel WJH Leferink NGH Rooijen E IttmannE van Zimmeren F Jochens H Bornscheuer U Vriend G dos Santos VAPMSchaap PJ 2010 3DM systematic analysis of heterogeneous superfamily data todiscover protein functionalities Proteins 78 2101ndash2113 httpdxdoiorg101002prot22725

Kurumbang NP Dvorak P Bendl J Brezovsky J Prokop Z Damborsky J 2014Computer-assisted engineering of the synthetic pathway for biodegradation of a toxicpersistent pollutant ACS Synth Biol 3 172ndash181 httpdxdoiorg101021sb400147n

Latino DARS Wicker J Guumltlein M Schmid E Kramer S Fenner K 2017 Eawag-Soil in enviPath a new resource for exploring regulatory pesticide soil biodegrada-tion pathways and half-life data Environ Sci Processes Impacts 19 449ndash464httpdxdoiorg101039c6em00697c

Lee J Cao L Ow SY Barrios-Llerena ME Chen W Wood TK Wright PC 2006Proteome changes after metabolic engineering to enhance aerobic mineralization ofcis‑12-dichloroethylene J Proteome Res 5 1388ndash1397 httpdxdoiorg101021pr060008t

Lee JW Na D Park JM Lee J Choi S Lee SY 2012 Systems metabolic en-gineering of microorganisms for natural and non-natural chemicals Nat Chem Biol8 536ndash546 httpdxdoiorg101038nchembio970

Lehrbach PR Zeyer J Reineke W Knackmuss HJ Timmis KN 1984 Enzymerecruitment in vitro use of cloned genes to extend the range of haloaromatics de-graded by Pseudomonas sp strain B13 J Bacteriol 158 1025ndash1032

Li G-Q Ma T Li S-S Li H Liang F-L Liu R-L 2007 Improvement of di-benzothiophene desulfurization activity by removing the gene overlap in the dsz

P Dvořaacutek et al Biotechnology Advances 35 (2017) 845ndash866

863

operon Biosci Biotechnol Biochem 71 849ndash854 httpdxdoiorg101271bbb60189

Li Z Yoshida N Wang A Nan J Liang B Zhang C Zhang D Suzuki D Zhou XXiao Z Katayama A 2015 Anaerobic mineralization of 246-tribromophenol toCO2 by a synthetic microbial community comprising Clostridium Dehalobacter andDesulfatiglans Bioresour Technol 176 225ndash232 httpdxdoiorg101016jbiortech201410097

Libis V Deleacutepine B Faulon J-L 2016 Expanding biosensing abilities through com-puter-aided design of metabolic pathways ACS Synth Biol 5 1076ndash1085 httpdxdoiorg101021acssynbio5b00225

Liss M Daubert D Brunner K Kliche K Hammes U Leiherer A Wagner R 2012Embedding permanent watermarks in synthetic genes PLoS One 7 e42465 httpdxdoiorg101371journalpone0042465

Litchfield C 2005 Thirty years and counting bioremediation in its prime Bioscience55 273ndash279 httpdxdoiorg1016410006-3568(2005)055[0273TYACBI]20CO2

Liu X Germaine KJ Ryan D Dowling DN 2010 Genetically modifiedPseudomonas biosensing biodegraders to detect PCB and chlorobenzoate bioavail-ability and biodegradation in contaminated soils Bioeng Bugs 1 198ndash206 httpdxdoiorg104161bbug1312443

Liu J Tan L Wang J Wang Z Ni H Li L 2016 Complete biodegradation ofchlorpyrifos by engineered Pseudomonas putida cells expressing surface-immobilizedlaccases Chemosphere 157 200ndash207 httpdxdoiorg101016jchemosphere201605031

Loeschcke A Markert A Wilhelm S Wirtz A Rosenau F Jaeger K-E Drepper T2013 TREX a universal tool for the transfer and expression of biosynthetic pathwaysin bacteria ACS Synth Biol 2 22ndash33 httpdxdoiorg101021sb3000657

Long MR Ong WK Reed JL 2015 Computational methods in metabolic en-gineering for strain design Curr Opin Biotechnol 34 135ndash141 httpdxdoiorg101016jcopbio201412019

Lorenzo V Loza-Tavera H 2011 Microbial bioremediation of chemical pollutants howbacteria cope with multi-stress environmental scenarios In Storz G Hengge R(Eds) Bacterial Stress Responses Second edition ASM Press Washington DC pp481ndash492 httpdxdoiorg1011289781555816841ch30

Lovley DR Phillips EJP Gorby YA Landa ER 1991 Microbial reduction of ur-anium Nature 350 413ndash416 httpdxdoiorg101038350413a0

Lykidis A Peacuterez-Pantoja D Ledger T Mavromatis K Anderson IJ Ivanova NNHooper SD Lapidus A Lucas S Gonzaacutelez B Kyrpides NC 2010 The completemultipartite genome sequence of Cupriavidus necator JMP134 a versatile pollutantdegrader PLoS One 5 e9729 httpdxdoiorg101371journalpone0009729

Marathe NP Pal C Gaikwad SS Jonsson V Kristiansson E Larsson DGJ 2017Untreated urban waste contaminates Indian river sediments with resistance genes tolast resort antibiotics Water Res 124 388ndash397 httpdxdoiorg101016jwatres201707060

Martiacutenez I Mohamed ME-S Rozas D Garciacutea JL Diacuteaz E 2016 Engineering syn-thetic bacterial consortia for enhanced desulfurization and revalorization of oil sulfurcompounds Metab Eng 35 46ndash54 httpdxdoiorg101016jymben201601005

Martiacutenez-Garciacutea E de Lorenzo V 2012 Transposon-based and plasmid-based genetictools for editing genomes of gram-negative bacteria Methods Mol Biol 813267ndash283 (Clifton NJ) httpdxdoiorg101007978-1-61779-412-4_16

Martiacutenez-Garciacutea E de Lorenzo V 2016 The quest for the minimal bacterial genomeCurr Opin Biotechnol 42 216ndash224 httpdxdoiorg101016jcopbio201609001

Martiacutenez-Garciacutea E Aparicio T de Lorenzo V Nikel PI 2014a New transposon toolstailored for metabolic engineering of gram-negative microbial cell factories FrontBioeng Biotechnol 2 46 httpdxdoiorg103389fbioe201400046

Martiacutenez-Garciacutea E Nikel PI Aparicio T de Lorenzo V 2014b Pseudomonas 20genetic upgrading of P putida KT2440 as an enhanced host for heterologous geneexpression Microb Cell Factories 13 159 httpdxdoiorg101186s12934-014-0159-3

Martiacutenez-Garciacutea E Aparicio T Gontildei-Moreno A Fraile S de Lorenzo V 2015 SEVA20 an update of the Standard European Vector Architecture for de-re-constructionof bacterial functionalities Nucleic Acids Res 43 D1183ndash1189 httpdxdoiorg101093nargku1114

Meckenstock RU Elsner M Griebler C Lueders T Stumpp C Aamand J AgathosSN Albrechtsen H-J Bastiaens L Bjerg PL Boon N Dejonghe W HuangWE Schmidt SI Smolders E Soslashrensen SR Springael D van Breukelen BM2015 Biodegradation updating the concepts of control for microbial cleanup incontaminated aquifers Environ Sci Technol 49 7073ndash7081 httpdxdoiorg101021acsest5b00715

Medema MH van Raaphorst R Takano E Breitling R 2012 Computational tools forthe synthetic design of biochemical pathways Nat Rev Microbiol 10 191ndash202httpdxdoiorg101038nrmicro2717

Mendes P Hoops S Sahle S Gauges R Dada J Kummer U 2009 Computationalmodeling of biochemical networks using COPASI Methods Mol Biol 500 17ndash59(Clifton NJ) httpdxdoiorg101007978-1-59745-525-1_2

Minty JJ Singer ME Scholz SA Bae C-H Ahn J-H Foster CE Liao JC LinXN 2013 Design and characterization of synthetic fungal-bacterial consortia fordirect production of isobutanol from cellulosic biomass Proc Natl Acad Sci U S A110 14592ndash14597 httpdxdoiorg101073pnas1218447110

Moraiumls S Shterzer N Lamed R Bayer EA Mizrahi I 2014 A combined cell-con-sortium approach for lignocellulose degradation by specialized Lactobacillus plan-tarum cells Biotechnol Biofuels 7 112 httpdxdoiorg1011861754-6834-7-112

Morgat A Axelsen KB Lombardot T Alcaacutentara R Aimo L Zerara M Niknejad A

Belda E Hyka-Nouspikel N Coudert E Redaschi N Bougueleret L SteinbeckC Xenarios I Bridge A 2015 Updates in Rheamdasha manually curated resource ofbiochemical reactions Nucleic Acids Res 43 D459ndash464 httpdxdoiorg101093nargku961

Mulbry W Ahrens E Karns J 1998 Use of a field-scale biofilter for the degradation ofthe organophosphate insecticide coumaphos in cattle dip wastes Pestic Sci 52268ndash274 httpdxdoiorg101002(SICI)1096-9063(199803)523lt268AID-PS719gt30CO2-2

Muschiol J Peters C Oberleitner N Mihovilovic MD Bornscheuer UT Rudroff F2015 Cascade catalysismdashstrategies and challenges en route to preparative syntheticbiology Chem Commun (Camb) 51 5798ndash5811 httpdxdoiorg101039c4cc08752f

Mutlu BR Yeom S Wackett L Aksan A 2015 Modelling and optimization of abioremediation system utilizing silica gel encapsulated whole-cell biocatalyst ChemEng J 259 574ndash580 httpdxdoiorg101016jcej201407130

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Nancharaiah YV Mohan SV Lens PNL 2016 Biological and bioelectrochemicalrecovery of critical and scarce metals Trends Biotechnol 34 137ndash155 httpdxdoiorg101016jtibtech201511003

Nelson KE Weinel C Paulsen IT Dodson RJ Hilbert H Martins dos SantosVAP Fouts DE Gill SR Pop M Holmes M Brinkac L Beanan M DeBoyRT Daugherty S Kolonay J Madupu R Nelson W White O Peterson JKhouri H Hance I Chris Lee P Holtzapple E Scanlan D Tran K Moazzez AUtterback T Rizzo M Lee K Kosack D Moestl D Wedler H Lauber JStjepandic D Hoheisel J Straetz M Heim S Kiewitz C Eisen JA TimmisKN Duumlsterhoumlft A Tuumlmmler B Fraser CM 2002 Complete genome sequenceand comparative analysis of the metabolically versatile Pseudomonas putida KT2440Environ Microbiol 4 799ndash808

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P Dvořaacutek et al Biotechnology Advances 35 (2017) 845ndash866

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Scott SR Hasty J 2016 Quorum sensing communication modules for microbialconsortia ACS Synth Biol 5 969ndash977 httpdxdoiorg101021acssynbio5b00286

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Sheldon RA 2011 Characteristic features and biotechnological applications of cross-linked enzyme aggregates (CLEAs) Appl Microbiol Biotechnol 92 467ndash477 httpdxdoiorg101007s00253-011-3554-2

Shi L Dong H Reguera G Beyenal H Lu A Liu J Yu H-Q Fredrickson JK2016 Extracellular electron transfer mechanisms between microorganisms and mi-nerals Nat Rev Microbiol 14 651ndash662 httpdxdoiorg101038nrmicro201693

Si T Xiao H Zhao H 2015 Rapid prototyping of microbial cell factories via genome-scale engineering Biotechnol Adv 33 1420ndash1432 httpdxdoiorg101016jbiotechadv201411007

Silva-Rocha R de Lorenzo V 2014 Engineering multicellular logic in bacteria withmetabolic wires ACS Synth Biol 3 204ndash209 httpdxdoiorg101021sb400064y

Siu K-H Chen RP Sun Q Chen L Tsai S-L Chen W 2015 Synthetic scaffolds forpathway enhancement Curr Opin Biotechnol 36 98ndash106 httpdxdoiorg101016jcopbio201508009

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Sohn SB Kim TY Park JM Lee SY 2010 In silico genome-scale metabolic ana-lysis of Pseudomonas putida KT2440 for polyhydroxyalkanoate synthesis degradationof aromatics and anaerobic survival Biotechnol J 5 739ndash750 httpdxdoiorg101002biot201000124

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UniProt Consortium 2015 UniProt a hub for protein information Nucleic Acids Res 43D204ndash212 httpdxdoiorg101093nargku989

Vallenet D Calteau A Cruveiller S Gachet M Lajus A Josso A Mercier JRenaux A Rollin J Rouy Z Roche D Scarpelli C Meacutedigue C 2016MicroScope in 2017 an expanding and evolving integrated resource for communityexpertise of microbial genomes Nucleic Acids Res httpdxdoiorg101093nargkw1101

van Leeuwen JGE Wijma HJ Floor RJ van der Laan J-M Janssen DB 2012

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Directed evolution strategies for enantiocomplementary haloalkane dehalogenasesfrom chemical waste to enantiopure building blocks Chembiochem Eur J ChemBiol 13 137ndash148 httpdxdoiorg101002cbic201100579

Vilchez-Vargas R Junca H Pieper DH 2010 Metabolic networks microbial ecologyand ldquoomicsrdquo technologies towards understanding in situ biodegradation processesEnviron Microbiol 12 3089ndash3104 httpdxdoiorg101111j1462-2920201002340x

Wang HH Isaacs FJ Carr PA Sun ZZ Xu G Forest CR Church GM 2009Programming cells by multiplex genome engineering and accelerated evolutionNature 460 894ndash898 httpdxdoiorg101038nature08187

Wang B Kitney RI Joly N Buck M 2011 Engineering modular and orthogonalgenetic logic gates for robust digital-like synthetic biology Nat Commun 2 508httpdxdoiorg101038ncomms1516

Wang K Schmied WH Chin JW 2012 Reprogramming the genetic code from tri-plet to quadruplet codes Angew Chem Int Ed Eng 51 2288ndash2297 httpdxdoiorg101002anie201105016

Wang B Barahona M Buck M 2013 A modular cell-based biosensor using engineeredgenetic logic circuits to detect and integrate multiple environmental signals BiosensBioelectron 40 368ndash376 httpdxdoiorg101016jbios201208011

Wang L Xue C Wang L Zhao Q Wei W Sun Y 2016 Strain improvement ofChlorella sp for phenol biodegradation by adaptive laboratory evolution BioresourTechnol 205 264ndash268 httpdxdoiorg101016jbiortech201601022

Wei R Oeser T Schmidt J Meier R Barth M Then J Zimmermann W 2016Engineered bacterial polyester hydrolases efficiently degrade polyethylene ter-ephthalate due to relieved product inhibition Biotechnol Bioeng 113 1658ndash1665httpdxdoiorg101002bit25941

Wibberg D Bremges A Dammann-Kalinowski T Maus I Igentildeo MI Vogelsang RKoumlnig C Luque-Almagro VM Roldaacuten MD Sczyrba A Moreno-Viviaacuten CBlasco R Puumlhler A Schluumlter A 2016 Finished genome sequence and methylomeof the cyanide-degrading Pseudomonas pseudoalcaligenes strain CECT5344 as resolvedby single-molecule real-time sequencing J Biotechnol 232 61ndash68 httpdxdoiorg101016jjbiotec201604008

Wicker J Lorsbach T Guumltlein M Schmid E Latino D Kramer S Fenner K 2016enviPathmdashthe environmental contaminant biotransformation pathway resourceNucleic Acids Res 44 D502ndash508 httpdxdoiorg101093nargkv1229

Wierckx N Prieto MA Pomposiello P de Lorenzo V OConnor K Blank LM2015 Plastic waste as a novel substrate for industrial biotechnology MicrobBiotechnol 8 900ndash903 httpdxdoiorg1011111751-791512312

Wigginton N Yeston J Malakoff D 2012 Working with waste More treasure thantrash Introduction Science 337 662ndash663 httpdxdoiorg101126science3376095662

Winsor GL Griffiths EJ Lo R Dhillon BK Shay JA Brinkman FSL 2016Enhanced annotations and features for comparing thousands of Pseudomonas gen-omes in the Pseudomonas genome database Nucleic Acids Res 44 D646ndash653httpdxdoiorg101093nargkv1227

Wittich R-M Wolff P 2007 Growth of the genetically engineered strain Cupriavidusnecator RW112 with chlorobenzoates and technical chlorobiphenyls Microbiology153 186ndash195 httpdxdoiorg101099mic029096-0

Wittich R-M van Dillewijn P Ramos JL 2010 Rational construction of bacterialstrains with newimproved catabolic capabilities for the efficient breakdown of en-vironmental pollutants In Timmis KN (Ed) Handbook of Hydrocarbon and LipidMicrobiology Springer Berlin Heidelberg pp 1247ndash1254

Wolfaardt GM Lawrence JR Robarts RD Caldwell SJ Caldwell DE 1994Multicellular organization in a degradative biofilm community Appl EnvironMicrobiol 60 434ndash446

Wu G Yan Q Jones JA Tang YJ Fong SS Koffas MAG 2016 Metabolicburden cornerstones in synthetic biology and metabolic engineering applicationsTrends Biotechnol 34 652ndash664 httpdxdoiorg101016jtibtech201602010

Xu P Vansiri A Bhan N Koffas MAG 2012 ePathBrick a synthetic biology plat-form for engineering metabolic pathways in E coli ACS Synth Biol 1 256ndash266httpdxdoiorg101021sb300016b

Yadid I Rudolph J Hlouchova K Copley SD 2013 Sequestration of a highly re-active intermediate in an evolving pathway for degradation of pentachlorophenolProc Natl Acad Sci U S A 110 E2182ndash2190 httpdxdoiorg101073pnas1214052110

Yang J Liu R Jiang H Yang Y Qiao C 2012 Selection of a whole-cell biocatalystfor methyl parathion biodegradation Appl Microbiol Biotechnol 95 1625ndash1632httpdxdoiorg101007s00253-011-3792-3

Yang Y Yang J Jiang L 2016 Comment on A bacterium that degrades and assim-ilates poly(ethylene terephthalate) Science 353 759 httpdxdoiorg101126scienceaaf8305

Yoshida S Hiraga K Takehana T Taniguchi I Yamaji H Maeda Y Toyohara KMiyamoto K Kimura Y Oda K 2016a A bacterium that degrades and assimilatespoly(ethylene terephthalate) Science 351 1196ndash1199 httpdxdoiorg101126scienceaad6359

Yoshida S Hiraga K Takehana T Taniguchi I Yamaji H Maeda Y Toyohara KMiyamoto K Kimura Y Oda K 2016b Response to comment on A bacterium thatdegrades and assimilates poly(ethylene terephthalate) Science 353 759 httpdxdoiorg101126scienceaaf8625

Zobel S Benedetti I Eisenbach L de Lorenzo V Wierckx N Blank LM 2015 Tn7-based device for calibrated heterologous gene expression in Pseudomonas putida ACSSynth Biol 4 1341ndash1351 httpdxdoiorg101021acssynbio5b00058

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P Dvořaacutek et al Biotechnology Advances 35 (2017) 845ndash866

866

  • Bioremediation 30 Engineering pollutant-removing bacteria in the times of systemic biology
    • Introduction
    • Approaches and tools of systems biology and metabolic engineering for tailoring biodegradation pathways
      • Step 1 get to know the contaminant and find a suitable catabolic pathway
        • Databases
        • Pathway prediction systems and toxicity prediction algorithms
        • Detection and quantification of pathway building blocks
          • Step 2 select and get to know a suitable microbial host
            • Omics techniques in studies of bacterial degraders
              • Step 3 build the pathway and optimize its performance in the context of host metabolism
                • Computational tools for pathway and strain optimization
                • Experimental tools for pathway and strain optimization
                • Protein engineering to eliminate bottlenecks of biodegradation pathways
                    • Synthetic biology approaches and tools for biodegradation pathway engineering
                      • Development of robust microbial chassis for biodegradation of toxic chemicals
                      • Development of synthetic microbial consortia for enhanced biodegradation and bioremediation of pollutants
                      • Development of orthogonal systems in bacteria to enhance pollutant biodegradation and bioremediation
                      • Engineering microbial biodegradation pathways in vitro
                        • Towards planet-wide bioremediation interventions CO2 capture as a large-scale challenge
                        • Conclusions and perspectives
                        • Acknowledgements
                        • References
                        • Web references
Page 6: Bioremediation 3.0 Engineering pollutant-removing bacteria ... · biology, metabolic engineering, and synthetic biology, for the sake of understanding and reprograming biological

applies more than 9000 unique reaction rules collected from BRENDAMetacyc and Rhea (Morgat et al 2015) databases to find enzymes(currently limited to max two-step reactions) able to convert a targetundetectable organic chemical into a molecule that can be recognizedby a known natural sensing system In the theoretical part of the follow-up study the authors applied SensiPath to expand the range of therebydetectable compounds among chemical structures collected from sev-eral databases (Libis et al 2016) The method almost tripled (from 169to 477) the number of theoretically detectable compounds in theTOX21 database (Krewski et al 2009) The predictive power of themethod was validated in the experimental part of the study Metabolicmodules of up to two enzymes proposed by SensiPath were introducedinto E coli bearing a sensing module for the product of enzymaticconversion at stake Functional whole-cell biosensors for cocaine ni-troglycerin or parathion were constructed in such way Despite thisremarkable contribution the number of undetectable organic chemicalsremains at a highgt 94 of all compounds in TOX21 databaseStrengthening the computational power of tools such as SensiPath willhopefully improve the situation in the near future

The predicted reaction networks can also be pruned using toxicityestimation algorithms to prevent the formation of compounds highytoxic to the host (Benfenati 2007) Besides quantitative structure ac-tivity relationship (QSAR) models which calculate toxicity based on thephysical characteristics of the chemical structures (molecular de-scriptors Eriksson et al 2003) other models have recently been de-veloped to predict toxicity based for example on chemical-chemicalinteractions (Chen et al 2013) QSAR models nonetheless remain theparadigm in the field An interesting example of a QSAR model-basedcomputational tool (httpsabsynthissbgenopolefrBioinformatics)is the toxicity prediction web server EcoliTox (Planson et al 2012)The dataset obtained from screening a diversified chemical library of166 compounds for toxicity in Escherichia coli was used to develop apredictor of toxicity of metabolites throughout the metabolome of thispopular bacterial host Tools similar to the EcoliTox server could beintegrated into a computational framework for improved design ofnative or heterologous biodegradation pathways and used to fine-tunetheir expression in selected microbial hosts A powerful virtualscreening approach currently applied predominantly in drug designstudies (Buryska et al 2016) could be used similarly for syntheticpathway predictions to avoid selection of enzymes whose catalyticmachinery might be inhibited by molecules present in a host cell

213 Detection and quantification of pathway building blocksOnce the suitable pathway is selected another issue arises that of

how to detect and quantify the pathway building blocks - metabolitesand enzymes Detection and accurate quantification of metabolites incomplex reaction mixtures and of functional enzymes produced withinthe cell provide valuable information on pathway performance and itsbottlenecks as well as a background for further optimization of theroute Here the experimental tools and approaches come into play forthe first time in our workflow scheme (Fig 1) The best sensitivity andseparation power is currently provided by chromatographic separationof metabolites followed by mass spectrometry analysis (Buumlscher et al2009) Information on physicochemical properties of compounds(boiling point polarity molecular weight) generated in the pathway isnonetheless crucial for correct choice of a detection method be it gaschromatography liquid chromatography or capillary electrophoresis(Buumlscher et al 2009) Of the numerous chemical databases PubChem(httpspubchemncbinlmnihgov) created in 2004 by the US Na-tional Institutes of Health is the worlds largest free chemistry re-pository into which anyone can deposit data on structures and theirproperties (Kim et al 2016) The database has grown togt 92 millionstructures Bioactivity data of chemical substances manually with-drawn from the scientific literature are saved in PubChem Substanceand Compound databases Integration with other databases allows in-cluding pharmacology toxicology drug target information safety or

handling information to the annotation of chemical records PubChemalso hosts data from important regulatory agencies including the USEnvironmental Protection Agency In 2007 another free repositoryChemSpider (httpwwwchemspidercom) was created and laterpurchased by the UK Royal Society of Chemistry it provides access toover 59 million entries from 487 diverse data sources and can be re-commended as another rich source of knowledge on experimental orpredicted physicochemical properties of compounds

For pathway enzyme detection and absolute quantification SDS-PAGE or better Western blot analysis followed by determination ofenzyme activity have been standard protocols in metabolic engineeringfor many years (Kurumbang et al 2014) When applied to multiple-enzyme pathways however these methods are tedious and time-con-suming Selected Reaction Monitoring Mass Spectrometry protocolsdeveloped in the past few years seem to provide a promising alternativefor absolute protein quantification in the future as they allow rapidsimultaneous quantification of many proteins in the cell with goodselectivity and sensitivity regardless of organism of origin (Batth et al2012)

22 Step 2 select and get to know a suitable microbial host

In addition to catabolic pathway choice or design the selection of asuitable host is a crucial initial step in any engineering project focusedon the development of a whole-cell degrader Over the years severalmicrobial hosts have been considered for application in biodegradationprocesses but no single naturally isolated bacterial strain possesses allthe desired characteristics of the optimal degrader Soil bacteria couldsatisfy many of these requirements because of the conditions they facenaturally in the niches in which they thrive including exposure toenvironmental contaminants and to competing and predatory speciesThese microorganisms have versatile metabolic lifestyles that allowthem to adapt to changing conditions sometimes adverse (oxidativestress temperature challenges osmotic perturbations) P putida is aubiquitous rhizosphere colonizer that belongs to the wide (if somewhatfuzzy) group of fluorescent Pseudomonas P putida KT2440 is the best-characterized saprophytic laboratory pseudomonad that has retained itsability to survive and thrive in the environment Its entire chromosomesequence is available since 2002 (Belda et al 2016 Nelson et al 2002Nikel et al 2014) This strain derives from P putida mt-2 a naturallyoccurring species able to degrade several aromatic compounds throughthe activities encoded in the catabolic TOL plasmid The physiologicaland metabolic properties of pseudomonads argue for their selection asthe starting point for engineering of biodegradation processes In ad-dition to rapid growth and low nutrient demand their extremely ver-satile metabolism and high capacity to supply redox power providingendurance to oxidative stress are several advantages that render Pputida an interesting host for degradation applications (Nikel et al2016a) Most of these properties arise from a very robust central me-tabolism (Fig 3) in which the combined activity of enzymes fromdifferent pathways (ie the EDEMP cycle Nikel et al 2015) endowsthe cells with a large NADPH supply (Chavarriacutea et al 2013) The op-erativity of the EDEMP cycle enables the formation of ATP and NADPHat different rates depending on the amount of trioses phosphate re-cycled Assuming that P putida has (i) a NAD+ dependent glycer-aldehyde-3-P dehydrogenase and a NADP+ dependent glucose-6-P de-hydrogenase (ii) pyruvate as the end product of glycolytic pathwaysand (iii) a negligible flux through 2-ketogluconate the yields of pyr-uvate ATP and NADPH are as indicated in the inset to Fig 3 Theability to sustain high NADPH formation rates is a requisite needed in abacterial host for the implantation of biodegradation pathways(Lorenzo and Loza-Tavera 2011) As will be shown in part in followingsections these beneficial properties are reflected in the increasingnumber of metabolic engineering studies in which P putida appears asone major player

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221 Omics techniques in studies of bacterial degradersSystems biology and particularly lsquoomicrsquo techniques contributed

markedly to rational selection of suitable hosts for metabolic en-gineering The enormous amount of genetic information read with first-or next-generation sequencing techniques together with powerful newalgorithms and computational tools to aid with data mining allowedconsiderable progress in our understanding of dynamic interactionsinside and in between cells and the environments they inhabit(Bouhajja et al 2016 Vilchez-Vargas et al 2010) Available genomicdata also enabled new insights into the evolution of microbial meta-bolism towards biodegradation of well-recognized xenobiotics such as135-triazine (Shapir et al 2007) 16S rRNA-phylogenetic microarraysand the functional gene microarrays have been used to monitor mi-crobial community dynamics and to track activities of microbes in thepolluted environments respectively (Chakraborty et al 2012) Thereconstructed genome-scale metabolic models together with tran-scriptomic proteomic metabolomic and flux analyses in variousgrowth and stress conditions completely changed our view of popularbiodegradative bacterial hosts including the paradigmatic P putida(Sohn et al 2010)

For instance fluxomic analyses applied to P putida KT2440 helpedto reveal its distinct strategies for dealing with carbon sources eg byfavouring the routes that generate NADPH which promotes greaterresistance to oxidative stress (Chavarriacutea et al 2013 Nikel et al 2013)Examination of transcriptomic data uncovered the significant portion ofthe P putida genome (ge20) that is differentially expressed when thecells are grown on diverse substrates and emphasized the role of a suiteof global regulators (J Kim et al 2013) Recent complete structural re-annotation of the KT2440 strain genome allowed identification of 1485

CDSs associated to 1898 chemical reactions prediction of catabolicpathways for 92 compounds (carbon nitrogen and phosphorussources) and upgrading of the available genome-scale metabolic model(Belda et al 2016 Puchałka et al 2008) lsquoOmicrsquo analyses greatly in-creased insight into the genetic and physiological background of someother pseudomonads besides KT2440 including P pseudoalcaligenesCECT5344 which might be used for biodegradation of industrial cya-nide-containing wastes or the 246-trinitrotoluene biotransforming Pputida JLR11 (Pascual et al 2015 Wibberg et al 2016) At the time ofwriting this article there are 3133 drafted and 215 completed Pseu-domonas genomes currently available in the Pseudomonas Genome Da-tabase (httpwwwpseudomonascom) perhaps the most compre-hensive genomic database dedicated to a single bacterial genus (Winsoret al 2016)

Complete genomic sequences are currently available for many otherpotentially useful degraders such as Cupriavidus necator JMP134 abacterium with nearly 300 genes involved in the catabolism of aro-matics including chloroaromatics (Lykidis et al 2010) Other ex-amples include but are not limited to the PCBs-degrading Acidovoraxsp strain KKS102 (Ohtsubo et al 2012) the cyclic hydrocarbons-de-grading Alicycliphilus denitrificans strains BC and K601 (Oosterkampet al 2013) or the oil-degrading bacterium Oleispira antarctica whosegenome has provided useful information as to how bacteria mitigate oilspills in cold environments (Kube et al 2013) Genomic sequences ofthese and many other microorganisms with biodegradation capabilitiescan be searched through in comprehensive databases such as NCBIgenome database (httpswwwncbinlmnihgovgenome) or Micro-Scope (httpwwwgenoscopecnsfragcmicroscopehome) a mi-crobial genome annotation and analysis platform (Vallenet et al2016) developed in the Laboratory of Bioinformatics Analyses forGenomics and Metabolism at the National Sequencing Centre (EvryFrance) it provides a complete pipeline for annotations and compara-tive analyses of up to 6000 microbial genomes of which hundreds weremanually curated for accuracy

Despite interest in study of individual bacterial species the fasci-nating in situ systems biology exercise that followed one of the mostalarming ecological disasters in modern human history the 2010 BPDeepwater Horizon spill in the Gulf of Mexico emphasized the irre-placeable role of bacterial communities in natural bioremediationBacteria that can convert oil-derived alkanes and aromatics into thebiomass were identified based on (i) genome reconstructions via me-tagenome sequencing of the DNA from the stable-isotope-probing ex-periments (Dombrowski et al 2016) and (ii) cultivation trials using oilsamples from sea surface and deep sea collected during the outflow(Gutierrez et al 2013) Only the concerted action of many microbialspecies including Cycloclasticus Alcanivorax members of Rhodospir-illales Alteromonas and others augmented by the specific environmentof the oil spill allowed the degradation of the complex mixture thatconsisted of as many as 1000 compounds Metagenomic strategies helpto shed light also on the composition and dynamics of microbial con-sortia that participate in natural biodegradation of chorinated ethenesin contaminated groundwater (Adetutu et al 2015) or polycyclic aro-matic hydrocarbons in soils (Guazzaroni et al 2013)

23 Step 3 build the pathway and optimize its performance in the contextof host metabolism

Optimization of the proposed biochemical pathway in the context ofhost cell metabolism is often the most demanding part of the en-gineering project This is especially true for de novo synthetic pathwayscomposed of enzymes from different sources implanted into a newbacterial host Codon composition of introduced genes might not beoptimal for expression in a heterologous host enzyme activities mightnot be well balanced or might cross-talk with the native metabolicnetwork pathway intermediates can accumulate and inhibit the growthof cells or cofactors ATP or redox carriers might be lacking The

Fig 3 The action of the EDEMP cycle is illustrated with a theoretical example of fluxdistribution in glucose-grown P putida KT2440 Total carbon uptake is considered to be100 (arbitrary units) and glucose can be split into the phosphorylative (Glk) or oxidative(x) branches The net formation rates (v) of pyruvate (Pyr) ATP and NADPH are in-dicated in the inset table with r representing the amount of triose phosphates recycled tohexose phosphates through the action of the EDEMP cycle Note that part of the glucosecan also be oxidized through the action of the so-called peripheral reactions represented bythe overall flux x in the scheme and that two trioses are formed per glucose consumedie a glucose uptake flux of 100 (arbitrary units) will result in a pyruvate flux of 200Abbreviations ED pathway EntnerndashDoudoroff pathway EMP pathwayEmbdenndashMeyerhofndashParnas pathway PP pathway pentose phosphate pathway G6Pglucose-6-P F6P fructose-6-P FBP fructose-16-P2 DHAP dihydroxyacetone-P GA3Pglyceraldehyde-3-P 6PG 6-phosphogluconate KDPG 2-keto-3-deoxy-6-phosphogluco-nate 2KG 2-ketogluconate and 2K6PG 2-keto-6-phosphogluconate Figure adapted andmodified from (Nikel et al 2016a)

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portfolio of systemic tools that can help overcome these issues is ex-panding constantly Here we will center on the major concepts thathave proven useful in tailoring biodegradation pathways and microbialdegraders We will discuss the application of several of these moderntools including the example of engineering the synthetic catabolic routefor 123-trichloropropane (TCP Fig 2) an industrial byproduct ofanthropogenic origin now being recognized as a groundwater con-taminant (Samin and Janssen 2012) TCP is representative of difficult-to-degrade halogenated aliphatic compounds a tough case for re-mediation technologists due to its physicochemical properties toxicityin living organisms and absence of efficient natural catabolic pathway(Janssen et al 2005 Samin and Janssen 2012) The enzymes laterused to compose the first synthetic pathway that allowed mineraliza-tion of TCP by an engineered bacterium had already been described inthe late 1980s and early 90s (Bosma et al 1999) With a historyspanninggt 25 years the engineering of this biodegradation pathwaythus represents one of the most systematic efforts of its kind

231 Computational tools for pathway and strain optimizationThe tremendous increase in the number of sequenced genomes (the

number of complete genomes in the NCBI database has more thandoubled in the last two years) of unicelluar and multicellular organ-isms including the microbial degraders mentioned above led to thereconstruction of genome-scale metabolic models representing all(anotated) biochemical reactions that take place in the living cell (Kinget al 2015) Mathematical models of metabolic networks have a cen-tral role in metabolic engineering and in pathway and strain optimi-zation Modelling can be used to analyze the selected pathway (eg todetermine the distribution of metabolic fluxes) and identify reactionsthat must be modified to improve its performance Genome-scale me-tabolic models are built by compiling data on genes related to bio-chemical reactions from databases such as KEGG and BioCyc The genesare compared to already finalized reconstructions of related organismsto find homologous reactions the draft model is then refined and ver-ified by simulations Flux Balance Analysis (FBA) and Metabolic FluxAnalysis (MFA) are two major approaches that use metabolic models topredict intracellular fluxes (Stephanopoulos 1999) FBA is a theoreticalconcept that uses the stoichiometric coefficients for each reaction in thesystem as the set of constraints for optimization MFA determines in-tracellular fluxes from measurable rates of metabolite uptake and se-cretion in growth medium In a typical experiment substrates labelledwith the non-radioactive isotope 13C are used in chemostat-growncultures to trace fluxes through a cellular network Computational toolssuch as Cobra 20 for Matlab OptKnock or k-OptForce can implementconstraint-based flux calculations and suggest strategies based onknock-out upregulation or downregulation of target genes to optimizemetabolite production without compromising cell growth (Burgardet al 2003 Chowdhury et al 2014 Schellenberger et al 2011) In astudy by Izallalen and colleagues OptKnock was used together with theconstraint-based in silico model of Geobacter sulfurreducens to determinegene deletions which could lead to increased respiration rates (Izallalenet al 2008) Geobacter species are well recognized for their ability todegrade radioactive and toxic metals and have been explored for theirutility in microbial fuel cells (Shi et al 2016) These processes arenonetheless limited by electron transfer rates in cells OptKnock cal-culations followed by genetic constructions by the authors resulted inrecombinant Geobacter cells with decreased ATP levels slower growthrates and predicted higher respiration rates (Izallalen et al 2008)Subsequent genome-wide analysis of gene transcript levels also verifiedthe in silico predictions

Although FBA- and MFA-based approaches can handle genome-scalemetabolic models and require no information on enzyme kinetics theiroutput only gives a steady-state approximation of the dynamic reality inthe living cell Kinetic modelling is an alternative to static flux calcu-lations when reliable kinetic parameters of pathway enzymes and someother input data are available eg specific surface area of the cell

permeability coefficients for substrates metabolite concentrations orapproximate enzyme amount in the cell (Chowdhury et al 2015) Ki-netic constants can be obtained from enzyme databases such asBRENDA or can be determined experimentally One should keep inmind that most kinetic constants deposited in databases are not stan-dardized and also measured in in vitro which might be a limiting factorwhen such data are applied to kinetic modelling in living systems (Costaet al 2011) Computational tools such as COPASI or E-Cell are used toassemble the pathway model in the form of kinetic and differentialequations and to simulate reaction time courses for various conditions(Mendes et al 2009 Takahashi et al 2003) Kinetic models of wholemetabolic networks are the holy grail of metabolic engineering buttheir application in strain design is limited by factors such as un-reliability of parameters non-universality of rate laws need to imple-ment regulatory events or extremely high demand on computationalpower (Chowdhury et al 2015) In contrast the use of kinetic mod-elling to engineer individual metabolic pathways or simpler in vitro-assembled networks is currently more feasible (Muschiol et al 2015)

Recent studies by Dvorak Kurumbang and colleagues are notableexample of kinetic modelling applied in engineering of synthetic bio-degradation pathways (Dvorak et al 2014b Kurumbang et al 2014)As a model these studies centered on detoxification of the industrialwaste compound and water pollutant TCP to glycerol - reaction cata-lysed by the haloalkane dehalogenase DhaA from Rhodococcus rhodo-chrous NCIMB 13064 and the haloalcohol dehalogenase HheC and theepoxide hydrolase EchA from Agrobacterium radiobacter AD1 (Bosmaet al 1999) In vitro steady-state kinetic data obtained for HheC EchAand three variants of DhaA were utilized to develop a kinetic model ofthe reaction that proved useful for revealing major bottlenecks in thepathway that is (i) low activity of wild-type DhaA on TCP and (ii)unbalanced enantioselectivity and enantiospecificity of the first and thesecond enzyme in the route DhaA and HheC respectively (Dvoraket al 2014b) Modelling was further applied to predict optimal enzymestoichiometry and fine-tuning overall pathway efficiency both in invitro conditions and in the heterologous microbial host E coli In E colithe pathway was established as a modular tunable system (Kurumbanget al 2014) Absolute amounts of pathway enzymes in the cell copynumbers of used plasmid vectors and toxicity levels of pathway sub-strate and intermediates were included in the mathematical model asadditional parameters Variants of the pathway predicted to promotebetter host survival in a medium with toxic TCP were verified ex-perimentally The observed precise matching between calculated andexperimental data confirmed the performance of the pathway in E coliand stressed the power of kinetic modelling when reliable parametersare available Finally the kinetic parameters of an optimal DhaA var-iant that would ensure sufficient TCP conversion to glycerol as well ashost cell growth on the toxic substrate were both predicted by mathe-matical modelling

This study shows that for engineering and implanting heterologouspathways complete knowledge of the host cell metabolic background isnot a must and a reliable strain design can be achieved with a relativelysimple mathematical model (Dvorak et al 2014b) Even so similarstudies that combine theoretical and experimental approaches in thedesign of pathways and strains for biodegradation are still rare Mostrecent work in the biodegradation field is restricted to application ofpurely experimental techniques from a repertoire of metabolic en-gineering discussed in the following section

232 Experimental tools for pathway and strain optimizationOnce the bottleneck reaction steps are identified and a solution is

proposed experimental techniques are applied to target the appropriategenes or regulatory mechanisms Engineering is traditionally conductedat the level of gene expression which affects the quantity of proteinGenes in native or synthetic pathways are usually overexpressed byintroducing plasmid vectors with extra copies of desired coding se-quences One popular approach also used for modular assembly of the

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TCP biodegradation pathway described above is to combine NovagenDuet plasmid vectors (Merck Millipore Germany) or derivatives such asePathBrick vectors which carry compatible replication origins andantibiotic markers (Kurumbang et al 2014 Tolia and Joshua-Tor2006 Xu et al 2012) This system allows effective propagation andmaintenance of up to four plasmids in a single E coli BL21 cell withλDE3 lysogen and modular assembly of multi-gene pathways SEVA(Standard European Vector Architecture) plasmids with standardizedarchitecture and nomenclature are an alternative modular vectorsystem tailored to allow cloning or expression of heterologous genes inP putida E coli and other Gram-negative bacteria with no specificneed for strain pretreatment (Martiacutenez-Garciacutea et al 2015) Up to fourplasmids each with one of the six available antibiotic markers (ampi-cillin kanamycin cloramphenicol streptomycin tetracycline genta-micin) four independent replication origins (RK2 pBBR1 pRO1600ColE1 RSF1010) and diverse cargoes can be combined in a single hostcell to fulfill the users needs A rich collection of constructs is alreadyfreely available (httpsevacnbcsices)

A set of compatible SEVA plasmids was used for instance in a studyof Nikel and de Lorenzo (2013) who described extrication of P putidaKT2440 from its strictly aerobic nature which prevents its use in in-dustrial anaerobic fermentors and certain bioremediation applications(Nikel and de Lorenzo 2013) Two scenarios were considered to ex-plain the inability of P putida to grow in anoxic conditions (i) un-balanced energy charge due to limited activity of the respiratory chainand (ii) lack of appropriate pathways for anoxic NADH re-oxidationThis two-fold problem was tackled by recruiting the pyruvate dec-arboxylase (pdc) and alcohol dehydrogenase II (adhB) genes from theanaerobe Zymomonas mobilis and the acetate kinase (ackA) gene fromthe facultative aerobe E coli to manipulate energy generation andredox balance in anoxic conditions To evaluate the potential of therecombinant host for anoxic biotransformations the authors used it as ahost for the haloalkane dehalogenase genes from P pavonaceae strain170 The resulting recombinant which bore two synthetic operons oncompatible plasmids pSEVA234 and pSEVA428 not only survived inanoxic conditions but also degraded the environmental pollutant 13-dichloropropene These results highlight the possibility of harnessingthe full potential of P putida KT2440 as a robust biocatalyst by precisecontrol of its energy and redox metabolism

Despite the widespread use of recombinant plasmids in proof-of-concept studies metabolic engineers must bear in mind that the in-troduction and massive expression of heterologous genes can affect hostfitness due either to additional metabolic load or to depletion of es-sential cofactors in redox reactions (Dvorak et al 2015 Glick 1995Wu et al 2016) This is even more important in the design of robustbacterial degraders that must cope with a spectrum of toxic substratesandor pathway intermediates and might need an additional energycharge and reducing cofators to cope with oxidative stress (Dvoraket al 2015 Nikel et al 2013) By-passing such difficulties is possibleby tuning inducer concentration applying lower-copy-number plasmidswith weaker promoters or by enzyme-mediated co-factor recyclingthrough overexpression of NAD+ kinase transhydrogenases or dehy-drogenases (Dvorak et al 2015 Nikel et al 2016b)

As an alternative expression of heterologous genes directly from thehost chromosome can be beneficial for greater stability of the desiredgenotypephenotype and improved host viability (Martiacutenez-Garciacuteaet al 2014a Santos and Yoshikuni 2014 St-Pierre et al 2013 Zobelet al 2015) Homologous recombination and site-specific or randomtransposition-based techniques have been developed to enable chro-mosomal insertion of single genes gene clusters or whole syntheticoperons or knockouts of genes that encode competing metabolicpathways (Loeschcke et al 2013 Martiacutenez-Garciacutea et al 2014a Santosand Yoshikuni 2014 St-Pierre et al 2013 Zobel et al 2015)

In a study by Samin and co-workers a mutant variant of haloalkanedehalogenase DhaA was introduced into the chromosome of 23-di-chloro-1-propanol-degrading P putida MC4 under the control of a

strong constitutive promoter using the Tn5 transposon-based deliveryvector (Samin et al 2014) Although the complete mineralizationpathway in strain MC4 is not yet fully understood the recombinantPseudomonas was the first microorganism shown to grow aerobically onTCP both in shaken flasks and in packed-bed reactor in continuous-flow conditions Mini-transposon systems have also been used suc-cessfully for chromosomal integration of the whole catabolic cluster asin the study by Wittich and Wolf who transplanted 11 genes from threedistinct bacteria into Cupriavidus necator H850 giving rise to the firstdesigner bacterium to show aerobic growth on a wide range of PCBincluding the two commercial pesticides Aroclor 1221 and Aroclor1232 (Wittich and Wolff 2007)

Gene expression balancing is undoubtedly a powerful metabolic en-gineering concept In addition to the approaches mentioned above forrather rough manipulation of gene expression numerous techniques forfine-tuning expression have been developed in recent years Surgicalcuts including computationally designed ribosome binding sites refinedarchitecture of the whole expression cassette mutagenesis of promoterregions tailored stability of mRNA molecules or altered gene order inthe operon were proven useful for optimizing bisynthetic pathways(Boyle and Silver 2012) In several cases expression adjustment was alsoconsidered in biodegradation pathway design de la Pentildea Mattozzi andco-workers achieved more rapid paraoxon hydrolysis in a recombinantP putida strain by altering the order of three genes in the operon forenzymes that convert one of the initial pathway intermediates (de laPentildea Mattozzi et al 2006) Expression of the dszB gene which encodes2-hydroxybiphenyl-2-sulfinate sulfinolyase the last rate-limiting enzymein the dibenzothiophene biodesulfurization pathway was improved byrearranging gene order and removing the overlapping structure in the dszoperon (Li et al 2007) Nonetheless especially in cases of syntheticmetabolic pathways composed of biocatalysts from diverse organismsthe activity selectivity stability or inhibition bottlenecks of individualenzymes can be too far-reaching to be solved by tuning expression of thecorresponding genes Moreover overexpression of endogenous or exo-genous genes often results in a metabolic burden and lower host viabilitydue to overconsumption of metabolic precursors (amino acids rRNAATP reducing cofactors) to fuel the synthesis of non-essential proteins(Glick 1995 Wu et al 2016) Protein engineering of bottleneck en-zymes then becomes a more reasonable approach

233 Protein engineering to eliminate bottlenecks of biodegradationpathways

Over the last two decades three distinct strategies were developed toallow the construction and identification of mutant enzymes with de-sirable properties (Bornscheuer et al 2012) The earliest approach ra-tional design exploits various computational techniques such as mole-cular docking homology modelling and molecular dynamics simulationstogether with site-directed mutagenesis protocols to generate targetedmutations that result in single or several modified variants of an enzyme(Damborsky and Brezovsky 2014) In contrast directed evolution usesrandom mutagenesis methods and is beneficial especially in cases whenneither the structure nor the catalytic mechanism of the enzyme isavailable (Brakmann 2001) Random methods of directed evolution arecombined with elements of rational enzyme modification to bypasscertain limitations of both approaches This focused directed evolutionapproach targets several specific residues or certain protein regions se-lected on the basis of prior structural and functional knowledge(Bornscheuer et al 2012) Mutation hot spots are chosen experimentallyand on a much larger scale computationally using powerful new al-gorithms and statistical tools such as HotSpot Wizzard or 3DM tool(Bendl et al 2016 Damborsky and Brezovsky 2014 Kuipers et al2010) A clear trend in recent years is the introduction of protein en-gineering into the metabolic engineering workflow

The activities of many enzymes that act on anthropogenic com-pounds are derived from promiscuous activities that are generally veryinefficient (Khersonsky and Tawfik 2010) In such cases protein

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engineering is the only possible solution Numerous reports from thefirst decade of the 2000s describe application of common protein en-gineering methods such as error-prone PCR DNA shuffling site-di-rected or saturation mutagenesis for engineering activity or selectivityof individual catabolic enzymes to halogenated hydrocarbons (Paralesand Ditty 2005 Wittich et al 2010) Recently the new challenge ofaccumulating plastic waste has attracted the attention of protein en-gineers who try to enhance the activities of certain bacterial or fungalenzymes such as esterases lipases or polyster hydrolases to syntheticpolymers including polyethylene terephthalate (PET) or polyurethanes(Wierckx et al 2015) For instance Wei and colleagues applied acomparison of crystal structures and molecular docking combined withside-directed mutagenesis to improve the activity of cutinase TfCut2from Thermobifida fusca KW3 towards PET at elevated temperaturesthat promote degradation of this oil-derived plastic (Wei et al 2016)Subsequent kinetic and in silico energetic analyses confirmed that theimprovement in PET hydrolysis was the result of a relief of productinhibition caused by single point mutation in the enzymes surface-ex-posed active site New unique PETase and MHETase shown to helpbacterium Indonella sakaiensis to depolymerize and utilize PET arepromissing candidates for protein and metabolic engineering exercisesthat might lead to biotechnological recycling of the polymer(Bornscheuer 2016 Yoshida et al 2016a) Alas such a promise is notdevoid of controversy about the very enzymes that could do the job(Yang et al 2016 Yoshida et al 2016b)

The studies reporting the implantation of constructed mutants in thecontext of the whole biodegradative pathway are nonetheless ratherrare Iwakiri and co-workers successfully applied Alcaligenes sp KF711harbouring engineered monooxygenase P450CAM for the dehalogena-tion of pentachloroethane to trichloroethane in anoxic conditions(Iwakiri et al 2004) In another study promiscuous toluene ortho-monooxygenase and epoxide hydrolase were engineered using DNA-shuffling and saturation mutagenesis the use of mutant genes allowedmore rapid aerobic degradation of chlorinated ethenes with less ac-cumulation of stress-inducing intermediates in recombinant E colibearing the synthetic pathway (Lee et al 2006 Rui et al 2004)

Mutants of DhaA the enzyme that initiates dehalogenation of TCPwere used in three of the previously mentioned studies that focused onTCP pathway engineering (Dvorak et al 2014b Kurumbang et al 2014Samin et al 2014) The DhaA31 variant with 29-fold improved catalyticefficiency towards the chlorinated substrate was prepared by combiningmolecular dynamics simulations of product release from the buried ac-tive site with site-directed and saturation mutagenesis in selected hotspots (Pavlova et al 2009) Another promising mutant with the potentialto remove the second serious bottleneck in the synthetic TCPpathwaymdashenantioselectivity of DhaA and high enantiospecificity ofHheCmdashoriginated from the work of van Leeuwen et al (2012) Theauthors targeted DhaA31 to obtain variants that convert TCP pre-dominantly into (R)-DCP which can be further converted by HheC at amuch higher rate than the (S)-enantiomer Five rounds of focused di-rected evolution using saturation mutagenesis with restricted codon setsprovided mutant DhaA r5-90R with 13 new amino acid substitutions andsubstantially improved (R)-selectivity Mutagenesis nevertheless affectedthe activity with TCP which dropped to wild-type DhaA levels themutant was later shown in in vitro and in vivo studies to be of no value forfurther improvement of TCP pathway efficiency (Dvorak et al 2014bKurumbang et al 2014) Additional engineering input is thus needed toobtain DhaA variants with improved activity and modified enantios-electivity that would promote smooth flux through the syntheticpathway (Fig 4) and allow growth of bacterial recombinants in minimalmedium with the toxic substrate (Kurumbang et al 2014)

It will be necessary to accelerate the processes of laboratory evo-lution and screening of new enzymes with enhanced properties inmutant and metagenomic libraries to make protein engineering ofgreater value in optimizing natural and synthetic catabolic pathways(Bouhajja et al 2016) Selection couples an improved enzyme property

with host survival which allows evengt 109 clonesenzyme variants tobe tested in a reasonable time New selection assays based on toxicsubstrate conversions into a harmless utilizable metabolite coupledwith fluorescence-activated sorting of surviving cells could for ex-ample be applied for the enrichment of new dehalogenase variantsfrom libraries prepared by directed evolution or a semi-rational ap-proach (Fernaacutendez-Aacutelvaro et al 2011 Fibinger et al 2015) Severalrecent studies presented workflows for high-throughput screening andcharacterization of improved enzyme variants or novel enzyme activ-ities These test schemes are based on (i) bioinformatic pre-screeningcombined with high-throughput experimental characterization of can-didate proteins (Bastard et al 2014) (ii) completely automated roboticplatforms manipulating clones growing in microtitre plates (Doumlrr et al2016) (iii) microcapillary arrays coupled with fluorescent assays andlaser extraction for recovery of live clones (Chen et al 2016) or (iv)single-cell sorting based on a fluorescent signal from clones with animplemented synthetic genetic circuit responding to a specific meta-bolite (Choi et al 2014) In silico screening of molecules that fit theactive site cavity of an available enzyme structure or reverse screeningof enzymes that can accommodate target substrate could supplementexperimental methods and reduce the time needed for discovery of newbiocatalysts for recalcitrant chemicals Indeed the potential of in silicoscreening methods was demonstrated when investigating cytochromeP450-mediated metabolism of xenobiotics (Raunio et al 2015) In arecent study by Aukema and colleagues docking and molecular dy-namics simulations allowed selection of biphenyl dioxygenase fromParaburkholderia xenovorans LB400 as the best candidate enzyme formetabolizing carbamazepine one of the most commonly identified re-calcitrant pharmaceuticals in rivers (Aukema et al 2016) The ex-perimentally verified rate of carbamazepine degradation by P xeno-vorans cells was 40-times greater than the best reported rates so far

As shown in the preceding sections the available toolbox of systemsbiology metabolic engineering and protein engineering applicable forre-factoring microbes and their catabolic pathways towards more effi-cient biodegradation of waste chemicals and recalcitrant pollutants isbecoming inordinately large Even so the defined workflows standardsand universally applicable principles for strain optimization were longmissing in the field of metabolic engineering despite which the aim toengineer living systems on a rational basis remained prevalent in thecommunity This goal led metabolic engineers to adopt standards andstrategies from another closely related field of synthetic biology thatwas established primarily to program living systems with a high pre-dictability

3 Synthetic biology approaches and tools for biodegradationpathway engineering

The principal underlying thought in synthetic biology is that anyliving system can be considered a set of separate usable componentsthat can be combined by the means of biological engineering in newarrangements to alter existing features or generate new ones (deLorenzo and Danchin 2008) Such biological engineering can be sim-plified by applying principles adopted from electronic engineering andcomputer science to produce predictable robust systems (genetic con-trol systems metabolic pathways chromosomes and whole cells) withnon-natural functions (Paddon and Keasling 2014) This would beachieved through the fabrication of thoroughly characterized stan-dardized recyclable parts From its very beginnings synthetic biologyhas been confronted with the need to define its practice precisely and todevelop clear generally applicable strategies as this was the only wayto guarantee and implement engineering principles in a field as sto-chastic as biology With its tools standards and the DBTA cyclestrategy synthetic biology has contributed as has no other scientificdiscipline to rationalize metabolic engineering Its bottom-up ap-proaches and synthetic devices are being implemented to make morerobust better controllable microbial cell factories Synthetic biology

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can and to some extent already contributes the same service with itsnew concepts to the fields of biodegradation and bioremediation In thethe Section 3 we will discuss examples of beneficial inclusion of syn-thetic biology into strategies for engineering pathways and whole cellsfor biodegradation of waste and polluting chemicals and perspectivesfor these initiatives

31 Development of robust microbial chassis for biodegradation of toxicchemicals

Genetic instability and negatively affected fitness are frequentlyencountered drawbacks of the native microbial hosts tailored by me-tabolic engineering for specific biodegradation purposes Syntheticbiology offers possible solutions for these problems by implementingDNA synthesis and genome editing strategies Both curiosity and pro-spective practical applications drive synthetic biologists to generatemicrobial cells with deleted parts of their genomes that encode re-dundant cryptic or even deleterious functions Such cells endowedwith a reduced genome as foundation to house and support hetero-logous genetic parts are collectively known as chassis (Adams 2016)An extreme case of a chassis is the so-called minimal cell (Glass et al2006) Chassis can be prepared by de novo synthesis of a reduced targetgenome and its implantation into a suitable cell envelope or throughsystematic deletions of non-essential genes in the genomes of an ex-isting natural host Microarray-based oligonucleotide synthesis is cur-rently used to provide a substrate (usually 5ndash50 oligos) for constructionof larger (usually 200ndash3000 bp) synthetic fragments (Kosuri andChurch 2014) Scarless methods including the popular Gibson as-sembly uracil assembly Golden Gate technology ligase cycling reac-tion or yeast recombination are used to combine sequence-verifiedgene-length fragments in even larger complexes (Casini et al 2015)DNA synthesis also allows preparation of standardized genetic parts(promoters ribosome binding sites genes terminators and so on) withverified codon-optimized sequences Despite breakthroughs in genesynthesis and DNA assembly methods this last approach for chassisconstruction seems far more feasible at the moment considering thelesser demand of chromosome editing experiments the constantly ex-panding portfolio of genetic tools and the growing list of micro-organisms with intentionally reduced genomes (Martiacutenez-Garciacutea and de

Lorenzo 2016 Si et al 2015)Discarding non-essential cell functions shows considerable potential

not only for biosynthetic purposes (Hutchison et al 2016) but also fordesigner biodegradation and bioremediation A recent report on thesystematic deletion of 11 non-adjacent genomic regions in P putidaKT2440 (Fig 5) is a unique example of genome streamlining in apopular bacterial host with well-defined biodegradation capabilities(Martiacutenez-Garciacutea et al 2014b) In all 300 genes were eliminated thatis 43 of the entire KT2440 strain genome using the scar-less deletionprocedure based on homologous recombination after in vivo DNAcleavage by the homing Saccharomyces cerevisiae nuclease I-SceI(Martiacutenez-Garciacutea and de Lorenzo 2012) A suite of functions was tar-geted including the complete flagellar machinery whose assembly andfunction drains ATP from the cells and consumes NAD(P)H Four pro-phages two transposons and three components of DNA restriction-modification systems were also eliminated to minimize genetic in-stability The resulting strains designated P putida EM42 and EM383(the latter lacks the recA gene that encodes recombinase A) showedclearly superior growth properties and improved overall physiologicalvigour compared to wild-type KT2440 Moreover due to the higherNADPHNADP+ ratio the reduced-genome strains also better toleratedendogenous oxidative stress a property that provides a crucial ad-vantage for catalysing harsh biodegradation reactions such as aerobicdehalogenation of chlorinated pollutants (Nikel et al 2013)

Despite their reliability and robustness the procedures based onthese genome editing tools are time- and labour-intensive and re-stricted to a limited number of model microorganisms This problem isnow being challenged by new protocols that profit from the type IIbacterial Clustered Regularly Interspaced Short Palindromic Repeats(CRISPR) and CRISPR-associated protein (Cas) Multiple AutomatedGenome Editing (MAGE) and combinations thereof (Barrangou andvan Pijkeren 2016 Wang et al 2009) Nonetheless these technologiesalso suffer from some weaknesses such as generation of numerous off-target mutations The off-target problem of the CRISPR-Cas system wasrecently mitigated by engineering high-fidelity Cas9 nucleases(Kleinstiver et al 2016) In a similar manner the number of off-targetmutations during MAGE was reduced substantially when temperature-sensitive control of the endogenous methyl-directed mismatch repairsystem was introduced into the E coli host together with a dominant

Fig 4 Hypersurface plot describing the effect of catalytic efficiency (kcatKm) and enantioselectivity (E-value) of haloalkane dehalogenase DhaA on the production of glycerol in the TCPpathway The hypersurface was calculated using the mathematical model of the TCP pathway (Dvorak et al 2014b) using the constraints of Kurumbang and co-workers (Kurumbanget al 2014) Positions of four DhaA variants DhaAwt (wild type kcatKm = 70 Mminus1 sminus1 E-value = 1) DhaA r5-90R (kcatKm = 20 Mminus1 sminus1 E-value = 10) DhaA31 (kcatKm = 600 Mminus1 sminus1 E-value = 1) and hypothetical DhaAXX (kcatKm = 700 Mminus1 sminus1 E-value = 10) are indicated by red dots Note that the majority of mutations (orange spheres)introduced into DhaA r5-90R and DhaA31 are adjacent to the active site (red spheres) and to the access tunnels (in green) Hypothetical enzyme DhaAXX with 10-fold improved catalyticefficiency and 10-fold improved enantioselectivity compared to DhaAwt would enable production of 1 mM glycerol (red line) from 2 mM TCP in the culture of recombinant E coliBL21(DE3) within 24 h time interval Such glycerol concentration will be sufficient to support the cell growth Figure was adopted and modified from (Kurumbang et al 2014) (Forinterpretation of the references to colour in this figure legend the reader is referred to the web version of this article)

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negative mutator allele of the E coli mismatch repair protein MutL(Nyerges et al 2016) By placing this highly conserved allele togetherwith λ Red recombinase genes and a temperature-sensitive λ repressoron a single broad-host range plasmid Nyerges and co-workers provideda simplified MAGE variant (pORTMAGE) that allowed genome editingand mutant library generation in several biotechnologically and clini-cally relevant bacterial species with no need for prior modifications ofparental strains The recent discovery of the Ssr protein from P putidaDOT-T1E a functional homologue of the β protein of the λ Red re-combination system paved the way for oligonucleotide-mediatedmultiplex genome engineering in pseudomonads including P putidaKT2440 and its derived platform strains EM42 and EM383 (Aparicioet al 2016) Continuing facilitated reduction of their genomes (dele-tions of multiple repetitive sequences or certain proteases) and genomesof other relevant bacterial hosts will provide more reliable robustchassis for biodegradation pathway engineering

32 Development of synthetic microbial consortia for enhancedbiodegradation and bioremediation of pollutants

An alternative strategy that allows for the emergence of more robustmicrobe-based bioprocesses is just the opposite of the systematic de-velopment of bacterial chassis based on individual wild-type strainsNatural microbial consortia perform complicated biocatalytic taskssuch as lignocellulose degradation wastewater purification or in-testinal food digestion By dividing the labour and metabolic burdenthe consortium members become more flexible when facing complexenvironmental conditions Distribution of catabolic capacity amongcells of a single organism among different bacterial strains or evenamong species from different kingdoms is pivotal this is especially truefor biodegradation of complex toxic chemicals which encompassesmany steps and harmful intermediates with diverse physicochemicalproperties The idea of exploiting consortia for directed biodegradationof polluting compounds and bioremediation of contaminated sites thuslies ready to hand

Application of natural microbial consortia has already shown pro-mise for bioremediation of sites polluted with anthropogenic pesticidessuch as diclofop methyl or atrazine (Baghapour et al 2013 Wolfaardtet al 1994) Together with the new field of synthetic biology attemptsare being made to modify the structure of original natural consortia ordevelop completely new artificial organizations of co-operating mi-croorganisms For example co-culture of engineered E coli SD2 and Pputida KT2440 was used successfully to mineralize the insecticideparathion in shaken flasks and in biofilm culture (Gilbert et al 2003)In another study complete mineralization of 246-tribromophenol aflame-retardant intermediate and pesticide was achieved using an

artificial anaerobe consortium of reductive debrominator Dehalobactersp FTH1 a hydrogen supplier Clostridium sp Ma13 and the 4-chor-ophenol-degrading strain Desulfatiglans parachlorophenolica DS (Li et al2015) Recently Martiacutenez and co-workers introduced an attractive al-ternative strategy for engineering the 4S pathway (Fig 6A) a para-digmatic bioprocess for removal of the recalcitrant sulphur from aro-matic heterocycles in fuels (Martiacutenez et al 2016) The pathwayencoded by dszABCD genes converts the model compound di-benzothiophene (DBT) into sulphur-free 2-hydroxybiphenyl (2HBP)The authors initially synthesized and re-arranged the original genes andoptimized transcriptional and translational signals for P putida KT2440By dividing the pathway into three separate modules expressed in-dividually they were able to define previously unreported bottlenecksin the pathway that is the inhibitory effect of intermediate 2HBP-sulfinate (HBPS) on DszA and DszC monooxygenases and HBPS leakageinto the culture medium from which it could not be transported backinto the cells for further processing To prevent HBPS accumulationtwo P putida strains bearing dszC1-D1 or dszB1A1-D1 modules weremixed as a suspension of resting cells When the strains were combinedat a 14 ratio and added with cell-free extract containing extra DszBalmost 100 of DBT was transformed into 2HBP in assay conditions

Considerable attention is currently being dedicated to developingstrategies for biodegradation of oil and oil-derived chemicals Patowaryand co-workers designed a potent microbial consortium for prospectivedecontamination of sites exposed to polycyclic aromatic hydrocarbonsfrom crude oil (Patowary et al 2016) The authors first inspected thebiodegradative capacity for total petroleum hydrocarbons of 23 bac-terial isolates from petroleum-contaminated soils and subsequentlydesigned 14 artificial consortia based on the five most efficient isolatesThe best designer consortium comprised of two biosurfactant-produ-cing hydrocarbon-degrading strains of Bacillus pumilus and B cereusshowed up to 84 degradation of total petroleum hydrocarbons afterfive weeks as verified by gravimetric FTIR and GCMS analyses Ap-plication of natural or re-designed bacteria and their consortia alsoholds considerable promise for decomposition of oil-derived plasticwaste (Skariyachan et al 2016 Yoshida et al 2016a 2016b)

New tricks for more efficient biodegradation strategies could beadopted from inspiring current research on synthetic consortia designedto decompose and valorize lignocellulosic biomass (Minty et al 2013)Tozakidis and co-workers reported application of an engineered con-sortium of three P putida strains displaying thermophilic en-doglucanase exoglucanase or β-glucosidase for concerted hydrolysis ofcellulose at elevated temperatures (Tozakidis et al 2016) Some studiesdescribe surface display of whole designer cellulosomes ndash syntheticenzymatic nanomachines whose natural counterparts are produced bycertain cellulolytic bacteria that exploit clustered surface-attached

Fig 5 Engineered Pseudomonas putida KT2440 as a newrobust chassis for biodegradation and bioremediationMartiacutenez-Garciacutea and colleagues used in-house genomeediting tools to streamline the chromosome of Pseudomonasputida KT2440 (Martiacutenez-Garciacutea et al 2014b) Deletion of43 of the original genome gave rise to the new platformstrains EM42 and EM383 whose advantageous propertiesmake them useful chassis for engineering biodegradationpathways and other applications

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cellulases for efficient depolymerization of cellulose and hemicellulose(S Kim et al 2013 Moraiumls et al 2014) The vast majority of the workthat exploits surface display systems for whole-cell removal of en-vironmental contaminants has been restricted to individual proteinssuch as laccases methyl parathion hydrolase or triphenylmethane re-ductase (Gao et al 2014 Liu et al 2016 Yang et al 2012) It istempting to expand available surface display technologies with cellu-losome parts for the design of synthetic consortia that would catalysemore complex biodegradation reactions including polymeric substratesor toxic metabolites outside the cells

Despite their true biotechnological potential microbial consortiaremain too complex for directed long-term application either for bio-synthesis or for biodegradation It is still difficult to engineer home-ostasis and evolutionary stability in an artificial multi-cellular systemwhose behaviour becomes unpredictable with time (Escalante et al2015) Attempts to adopt principles of intercellular communication forsynthetic consortia are just at their beginnings (Hennig et al 2015Scott and Hasty 2016) Intensive co-operation of genetic engineers andevolutionary biologists with microbial ecologists and chemists willobviously be needed to derive a deeper understanding of the processesthat rule the formation and survival of natural microbial consortiaLessons learnt from nature can be implemented and combined withcompletely anthropogenic orthogonal genetic devices for more reliabledesign of stable multicellular systems

33 Development of orthogonal systems in bacteria to enhance pollutantbiodegradation and bioremediation

Orthogonal or in other words parallel independent systems1 is a key

concept in synthetic biology as long as such quality makes live systemsmore amenable to bona fide engineering Orthogonalization involveseg use of unnatural genetic codes (for example quadruplet rather thantriplet) alternative transcription-translation machineries toggleswitches and genetic circuits for assembly of novel metabolic andsignalling pathways from proteins containing non-natural amino acids(An and Chin 2009 Wang et al 2012) Such metabolic pathways couldhave new functions and would synthesize or catabolize a fresh spectrumof compounds Ideally orthogonal pathwaysmodules interact mini-mally with their natural counterparts in the host cell This improvespredictability of the component behaviour and prevents inhibitorycross-talk following introduction of the pathway or circuit into an ex-isting metabolic network (Kim and Copley 2012 Kurumbang et al2014) In an orthogonal module the input and output molecules ofgenetic circuitsmdashor enzymes and metabolites of synthetic biochemicalroutesmdashare not degraded or inactivated by side-reactions or physico-chemical conditions of the host cell While complete orthogonality isvirtually impossible in biological systems a practicable level of context-independence is indeed feasible Some examples of claimed orthogonalsystems include simple synthetic genetic circuits switches or designedmetabolic pathways These have the potential to improve function ofindividual engineered bacteria or synthetic consortia as whole-cellbiosensors and degraders of recalcitrant chemicals

Sensitivity robustness and applicability of microbial biosensors fordetecting heavy metals or halogenated hydrocarbons can be greatlyimproved by implementing orthogonal genetic devices (Bereza-Malcolm et al 2015) Thus far simple microbial biosensor designsbased on one input and two-part regulatory systems with promoter andreporter providing a coloured fluorescent bioluminescent or electricsignal prevail in the literature (Ravikumar et al 2017) Reports onmore complex multi-input systems based on Boolean logic gates are stillrare but give us a clue to future developments in the field As firstoutlined by the work of Wang et al (2016) orthogonally acting multi-

Fig 6 Examples of synthetic biology approaches applied toengineering biodegradation pathways and whole-cell de-graders (a) Martiacutenez and co-workers divided the 4Spathway for sulphur removal from aromatic heterocyclesinto two modules (dszC1-D1 and dszB1A1-D1) that wereexpressed individually in two P putida KT2440 strains toform a synthetic consortium (Martiacutenez et al 2016) Com-bining the strains at a 14 ratio and mixing them with cell-free extract from the third strain producing DszB resulted inalmost complete conversion of dibenzothiophene into sul-phur-free 2-hydroxybiphenyl in assay conditions (b) Wanget al constructed a synthetic bacterial consortium in whicheach of the two E coli strains functioned as a double inputsensor with synthetic AND gates for detecting arsenicmercury and copper ions and quorum sensing molecules(3OC6HSL Wang et al 2013) Strain 2 generated redfluorescence only in the presence of all three metal ions inculture (c) Benedetti and colleagues achieved directedtransition between planktonic and biofilm lifestyles of Pputida KT2440 by controlling cyclic di-GMP levels with anorthogonal genetic device composed of the yedQ diguany-late cyclase gene from E coli under the control of the cy-clohexanone-responsive ChnRPchnB regulatory node fromAcinetobacter johnsonii (Benedetti et al 2016) Designedcells with a synthetic operon for 1-chlorobutane biode-gradation formed inducible biofilms with higher dehalo-genase activity than free planktonic bacteria (d) Dvorakand co-workers assembled the first in vitro synthetic biode-gradation pathway for 123-trichloropropane (TCP) bycombining engineered haloalkane dehalogenase DhaA31halohydrin dehalogenase HheC and epoxide hydrolaseEchA immobilized in cross-linked enzyme aggregates(CLEAS) and polyvinyl alcohol particles (LentiKats) (Dvoraket al 2014a) The immobilized pathway converted highconcentrations of toxic TCP into glycerol in contaminatedwater for more than two months of continuous operation in

a bench-top packed bed reactor (For interpretation of the references to colour in this figure legend the reader is referred to the web version of this article)

1 The mathematical and geometrical concept of orthogonality has been adopted first bycomputing science and then by synthetic biology to signify operative independenceSystem A is orthogonal to system B if A does not influence Bmdashand vice versa

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inputmulti-output logic gates will be especially valuable for detectingmixtures of polluting chemicals (organic inorganic or both) by pro-viding a specific signal for each of the constituents (He et al 2016Wang et al 2011) Developing such biosensors is of practical im-portance as polluted environments are usually burdened with nu-merous contaminants that have diverse physicochemical propertiesThe authors engineered a set of two-input E coli-based biosensors withsynthetic AND gates using signalling sensory modules from native two-component signal transduction pathways as well as hrpR and hrpSgenes along with their HrpL promoter element from P syringae Usingthese sensors they detected arsenic mercury copper and zinc ions aswell as quorum sensing molecules in aqueous environment (Wang et al2011) The most advanced design resulted in a triple-input AND logic-gated biosensor that formed a synthetic bacterial consortium in whicheach of the two members acted as a double input sensor (Fig 6B) In thepresence of arsenic and mercury the first strain formed a quorumsensing molecule (3OC6HSL) that diffused freely into the medium andwas sensed together with Cu2+ by the second strain which provided ared fluorescent signal (Wang et al 2013) The fluorescent response wasseen only when all three metal ions were present in the culture

Reliable orthogonal devices will be crucial for engineering artificialcell-cell communication for instance taking advantage of bacterialquorum sensing systems (Hennig et al 2015 Scott and Hasty 2016)Programming the dynamics of subpopulations of synthetic consortiathat perform complex tasks will be only possible with parallel geneticcircuits and signalling molecules unknown to the host cells (Chen et al2015) As stressed by Silva-Rocha and de Lorenzo (2014) catabolicpathways for recalcitrant and xenobiotic compounds could be a reliablesource of wiring devices and molecules These pathways are frequentlyfound in specific types of organisms and metabolic crosstalk can thusbe avoided by implementing components of such networks in suitablehosts For instance aromatic molecules such as benzoate or phenol canbe used as signal inducers that are recognized by regulatory proteinsthat trigeger expression of target genes The recent determination of thecrystal structure of the sensory domain in the phenol-responsive tran-scription activator PoxR ilustrates how aromatics are sensed in bacteria(Patil et al 2016) This study paves the way for wider application ofrationally engineered transcription regulators responsive to aromaticsin the design of synthetic genetic circuits

The dynamic behaviour of the whole biodegradation pathway canalso be better studied when the route is transferred into a distant hostchassis where it acts orthogonally The orthogonal nature of the syn-thetic pathway for TCP biodegradation in the surrogate host E coliBL21 (DE3) described in Section 231 allowed a very good matchbetween in silico predicted and in vivo metabolite concentrations andprecise description of the bottlenecks (Kurumbang et al 2014) as wellas deciphering the contribution of metabolic burden and substratemetabolite toxicity to the fitness cost of TCP biotransformation bywhole-cell catalysts (Dvorak et al 2015) Despite their benefits for suchmechanistic and proof-of-concept studies laboratory E coli strainsmight not be optimally suited for the harsh conditions that accompanybiodegradation and bioremediation processes (Adams 2016 Nicolaouet al 2010) Development of reliable chassis amenable to implantationof orthogonal genetic devices is therefore desirable These new cellplatforms should be based on robust environmental strains of Pseudo-monas Rhodococcus Deinococcus and other microorganisms with broadmetabolic versatility and natural resistance to organic solvents or heavymetals (Adams 2016)

One can also take advantage of other specific properties of en-vironmental bacteria including formation of a robust biofilm As shownrecently by Benedetti and colleagues the actual physical forms ofwhole-cell biocatalysts can be mastered using orthogonal genetic parts(Fig 6C) through the so-called synthetic morphology approach (Benedettiet al 2016) Pseudomonads generate biofilms with biophysical prop-erties that depend on the species Cyclic di-GMP (c-di-GMP) is the keysignal molecule that rules the complex regulatory network mediating

the transition between planktonic cells and biofilm formation Thisfeature was exploited to design an orthogonal genetic device for ma-nipulating the native c-di-GMP biochemistry in P putida thereby con-trolling biofilm formation (Benedetti et al 2016) The E coli yedQ gene(encoding diguanylate cyclase the enzyme that synthesizes c-di-GMPfrom GTP) was placed under control of a tightly regulated cyclohex-anone-responsive expression system A synthetic operon encoding theenzymes needed for 1-chlorobutane biodegradation was also in-troduced in the engineered biofilm-forming P putida strain Upon ac-tivation of the corresponding genetic modules with appropriate in-ducers the resulting P putida biocatalyst displayed high dehalogenaseactivity in robust biofilms

The modern approaches of biological engineering accelerate thedevelopment of whole-cell biocatalysts for in situ bioremediation orbiosensing of emerging environmental pollutants Field applications ofgenetically modified microorganisms are nonetheless restricted bycurrent legislation and hindered by the unreliable behaviour of re-combinant microbes in complex fluctuating environments Syntheticbiology can help to tackle the major problems through the means de-scribed at the beginning of this chapter ie non-canonical geneticcodes and xenobiochemistry which can prevent diffusion of undesiredsequences into the environmental gene pool differentiate recombinantsfrom their natural counterparts and improve robustness and reliabilityof prepared genetic devices whole-cell degraders and biosensors Theexamples of such endeavours were recently reviewed extensively(Schmidt 2010 Schmidt and de Lorenzo 2016) These systems couldbe combined with bioluminiscence fluorescence or DNA watermarkingtechnologies to track the environmental fate of designer degraders orwith inducible suicide systems for discarding degraders once theirmission is completed (Liss et al 2012 Liu et al 2010 Paul et al2005) Yet the path to applied xenobiology is still crooked and manyethical questions remain Another concept from the portfolio of syn-thetic biology that will be discussed in the following section has thepotential to fill the time gap until we obtain reliable whole-cell catalystsand alternative solutions also acceptable for GMO critics will be pro-vided

34 Engineering microbial biodegradation pathways in vitro

The major principle of cell-free synthetic biology is that purifiedbiomolecules or components in crude cell extracts replace intact cellsfor constructing complex biomolecular systems (Hodgman and Jewett2012) To date metabolic networks that encompassgt 10 enzymeshave been reconstructed in vitro (Rollin et al 2015 Schwander et al2016) Cell-free metabolic pathways allow easy verification of bioca-talyst function determination of kinetic parameters as well as eva-luation of the network by kinetic modelling (Santacoloma et al 2011)Note however that assemby of degradative pathways in cell-free sys-tems (whether with purified enzymes or cell extracts) is not only toprototype and parametrize new routes but also for direct use in thefield (Karig 2017) Despite the drawbacks that cell-free systems cannotself-propagate that certain biomolecules can be sensitive to oxidizingenvironments and that their encapsulation and large-scale productionmight be costly these systems offer an appealing means to circumventproblems associated to GMO release to the environment Apart fromincreasing safety they offer other clear benefits For instance in vitrosystems can operate in the presence of toxins that would inhibit or killlive cells and metabolites regulators and enzymes can be produced inoptimized concentrations without interfering with cell componentsMost important for release and predictability the evolutionary oppor-tunities of such non-live agents are zero making the emergence ofunexpected properties virtually impossible

In vitro metabolic networks can suffer from suboptimal efficiencydue to the lower enzyme concentration compared to the extremelydense cell cytoplasm (Hodgman and Jewett 2012) This issue can bemitigated by enzyme immobilization and improved spatial organization

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via synthetic protein or DNA scaffolds that reduce diffusion of pathwayintermediates and promote substrate channeling (Siu et al 2015) Al-ternatively biocatalysts can be precipitated and covalently inter-connected in cross-linked enzyme aggregate particles (Sheldon 2011)this method was applied successfully to synthesize toxic nucleotideanalogues by an immobilized five-enzyme synthetic pathway (Scismand Bachmann 2010) The biochemical route described was completedwith functional ATP regeneration which demonstrates that in vitrotechnologies can cope with another possible drawback ndash limited co-factor recycling

Thus far mainly single immobilized enzymes or whole-cell bioca-talysts have been exploited in biotechnological processes intended toremove polluting chemicals such as polyethylene terephthalate 24-dinitrophenol atrazine or inorganic nitrates (Barth et al 2016Dehghanifard et al 2013 Mutlu et al 2015 Troumlgl et al 2012) In vitroassays with cell-free extracts or purified enzymes respectively helpedto identify an unknown anaerobic pathway for complete phthalatedegradation to CO2 in Thauera chlorobenzoica 3CB-1 or to decipher se-questration of the highly toxic intermediate tetrachlorobenzoquinone inpentachlorophenol degradation pathway in Sphingobium chlor-ophenolicum (Ebenau-Jehle et al 2017 Yadid et al 2013) Geuekeet al showed the benefits of an in vitro engineering approach in themodel of γ-HCH biodegradation pathway (Geueke et al 2013) Theyused a system of two purified enzymes the dehydrochlorinase LinA andthe haloalkane dehalogenase LinB which initiate biotransformation ofγ-HCH a prohibited insecticide They separately incubated five isomersthat form technical HCH (which used to be applied frequently instead ofpure γ-HCH) with various LinALinB ratios and determined metabolicprofiles of sequential biotransformations Analyses of these profileshelped determine the environmental fate of HCH isomers and showedthat the original HCH degradation pathway is optimized by evolutionfor γ-HCH but not for other isomers that co-pollute contaminated sites

The first report of in vitro assembly of a fully functional syntheticbiodegradation pathway was published by Dvorak and co-workers(Dvorak et al 2014a) The authors adopted the cell-free strategy usingimmobilized engineered haloalkane dehalogenase DhaA31 halohydrindehalogenase HheC and epoxide hydrolase EchA for TCP bio-transformation to harmless valuable glycerol in contaminated water(Fig 6D) The practical utility of bacterial recombinants that mineralizeTCP (desccribed in Sections 231 and 232) is limited by substratetoxicity and by legislative barriers on the application of GMO(Kurumbang et al 2014 Samin et al 2014) Probing the function ofthe pathway in in vitro conditions therefore lied ready to hand Theauthors successfully immobilized the pathway in the form of purifiedenzymes or cell-free extracts in cross-linked enzyme aggregates andlens-shaped polyvinyl alcohol particles The immobilized pathwayshowed almost the same efficiency of TCP-to-glycerol conversion asmixture of free enzymes Physicochemical properties of polyvinyl al-cohol lentils allowed recovery from the reaction mixture and recyclingof the pathway In addition the immobilized enzymes retainedgt 50of their initial activities for over 2 months of continuous operation in abench-top packed bed reactor The study indicated that the im-mobilized route removes TCP from heavily contaminated water with apollutant concentration (~1 gL) that would be detrimental to theliving degraders One can anticipate that such conversions of toxic TCPto useful glycerol could even pave the way for prospective valorizationof this waste chemical

Although this biotechnology requires further validation and tuningthe work showed that in vitro assembly of natural or synthetic enzy-matic pathways with engineered enzymes is a promising concept for thebiodegradation of polluting compounds and toxic industrial wasteproducts Transport of such pathways via non-live carriers is relatedconceptually to efforts to produce and release complex therapeuticagents for human use In both cases their application demands thedevelopment of a sort of environmental Galenic science that enablessupply of the engineered biological remedy when and where needed

4 Towards planet-wide bioremediation interventions CO2

capture as a large-scale challenge

Environmental deterioration due to emissions of recalcitrant che-micals seems to pale when compared to the problem of global warmingcaused by the release of greenhouse gases that originate in human ac-tivities The bulk of these gases comprise four natural molecules carbondioxide (CO2) methane (CH4) nitrous oxide (N2O) and ozone (O3) aswell as one class of xenobiotics the chlorofluorocarbons or CFC Giventhe diluted aereal and global nature of this problem the strategiescontemplated for tackling these chemical species differ considerablyfrom those that centre on site-specific pollution issues Most proposalsthus far focus much more on reducing emissions than on capture andreturning to innocuous chemical or mineral forms All these compoundshave their own natural biogeochemical cycle and in theory simplyreducing their input into the biosphere should restore the originalequilibrium (Rockstroumlm et al 2017) Recent ecological thought none-theless postulates that the impact of climate change in many ecosystemsis already irreversible by natural means and call for large-scale inter-ventions that could help to resolve this impasse (de Lorenzo et al2016) In this case what types of options could be considered from asystemic biology perspective

Some incipient attempts have appeared recently mostly in the fieldof engineering bacteria with a greater capacity for non-photosyntheticfixing of CO2 (Erb and Zarzycki 2016) One option is to use the sixalternative pathways of autotrophic carbon fixation known in nature(Fuchs 2011 Hicks et al 2017) as a starting point to optimize suchnatural processes Another possibilty is the invention of new routes byrewiring or modifying existing enzymes in a new configuration A re-markable example of this solution is the work of Antonovsky et al(2016) who showed that combining metabolic rewiring recombinantprotein expression and laboratory evolution enables the production ofsugars and other biomass constituents by a fully functional Calvin-Benson-Bassham (CBB) cycle in E coli In the bacteria designed in thisway carbon is fixed via a refactored CBB cycle whereas reducingpower and energy are derived from pyruvate oxidation (Fig 7) It isinteresting to note how evolutionary approaches adjust fluxes andgenerate connections between the designed CBB cycle and the hostbiochemical network that cannot be predicted or designed

A separate approach was recently developed by Schwander et al(2016) who developed a synthetic route for continuous CO2 fixation invitro by composing a cycle formed of 17 enzymes that convert CO2 intoorganic molecules The cycle was draughted by metabolic retro-synthesis with enzymes from nine organisms from three domains of lifefurther optimized through rounds of protein engineering and metabolicproofreading Although this completely designed pathway has not yetbeen implemented in vivo (eg in a bacterial carrier) it is a question oftime until it is done and propagated throughout an entire microbialcommunity (de Lorenzo et al 2016)

Finally todays systemic approaches enable the invention of en-zymes from scratch through de novo protein design followed by directedevolution which opens perspectives for improving the natural state ofaffairs regarding fixation of CO2 (and other greenhouse gases) as well asvalorization of this waste as biotechnological feedstocks (Huang et al2016 Renata et al 2015) A separate matter is the large-scale de-ployment of the microbial agents for CO2 retrieval Existing technologyallows their implementation in biofilters and bioreactors that captureemissions at source But how can we spread such desirable catalyticproperties at a very large even at planetary level to make a differenceSuch technologies are not yet availablemdashlet alone that they raise a largenumber of safety questions But they must necessarily be developed ifwe are not just to control greenhouse gas discharges but also aim attheir eventual reduction to pre-industrial levels (de Lorenzo et al2016)

Unfortunately greenhouse gases are not the only globally wide-spread molecules to be concerned about Much before global warming

P Dvořaacutek et al Biotechnology Advances 35 (2017) 845ndash866

859

associated to CO2 emissions became so conspicuous widespread pol-lution by endocrine disruptors (eg alkylphenols bisphenols DDTPCBs polybrominated diphenyl ethers phthalates and per-fluorooctanoic acid) was well documented Moreover other silent pol-lutants originate in the pharmaceutical industry eg antibiotics(Marathe et al 2017) and hormones They end up in a large variety ofecosystems in a diluted but still active form Finally plastics (egpolycarbonate polystyrene polyethylene terephthalate lowhigh-density polyethylene polypropylene and polyvinyl chloride) are cur-rently receiving a considerable focus as a major environmental pro-blem A number of microbial strains able to totally or partially act uponthese compounds have been isolated (see above) but in general thebiodegradation process is very slow The global nature of these types ofpollution thus requires the development of new efficient microbialpathways for their elimination quite a challenge for contemporarysynthetic biologists and metabolic engineers (de Lorenzo 2017)Butmdashas is the case for CO2 capture mentioned abovemdashpathways andhosts able to deploy them are not enough Effective strategies for globaldispersion of biodegradative activities of interest are badly nee-dedmdashperhaps inspired in gene drives or some type of self-propagatingmassive horizontal gene transfer (de Lorenzo et al 2016)

5 Conclusions and perspectives

The practical examples described in the preceding sections showthat technologies of systemic biology offer promise not only for therenaissance of bioremediation using anthropogenically enhanced mi-crobial degraders but also for entry to the new era of Bioremediation30 The bottlenecks described at the beginning of this text are one byone being released or removed with the help of new computational andexperimental tools Databases and pathway prediction systems help the

user to select suitable chemically and energetically feasible traits fordesired tasks Multi-omic analyses provide valuable information thatfacilitates choice of a suitable host Genome-scale and kinetic modelsapplied hand-in-hand with genetic engineering techniques enable tai-loring of gene expression reduction of metabolic burden and pathwayoptimization in the context of host metabolism The visionary conceptsof synthetic biology and global scale CO2 bioremediation open up newdimensions for engineering microbial degraders General work schemesand standards for design building and fine-tuning of selected bio-chemical routes networks and whole-cell biocatalysts are simulta-neously becoming better defined and accepted by the community

Despite the clear progress over the last decade of biochemical andbiological engineering the vast complexity of the living cell remainsthe major hurdle for any attempt for fully rational pathway design Inthe case of biosensing and biodegradation pathway design and pro-spective applications of the genetically-modified microbes this problemis exacerbated by the complexity of intercellular and interspecific in-teractions and by the still poorly understood interplay between thebiotic and abiotic factors that govern contaminant biodegradation inpolluted ecosystems (de Lorenzo 2008 Meckenstock et al 2015) Weassume that in principle there are two ways to address this challengenow and in future

The first admits that complexity of biological systems will not beresolved anytime soon and thus bets on combining rational designs withnatural evolution at the end of the DBTA cycle thus expanding it toDBTAE (Design-Build-Test-Analyze-Evolve) Adaptive laboratory evo-lution (ALE) is a high calibre tool of this approach ALE is now frequentlyused by academic and industrial laboratories to evolve desired prop-erties in environmental bacteria and for fine-tuning recombinant mi-croorganisms but its principles have been well known since the time ofthe very first attempts to modify microbial phenotypes (Kellogg et al

Fig 7 Hemiautotrophic growth of engineered E coli al-lowed by decoupling energy production and carbon fixa-tion The hemiautotrophic growth was observed after per-forming three distinct steps (i) Calvin-Benson-Bassham(CBB) cycle for the biosynthesis of sugars from CO2 wascompleted by introducing only two exogenous enzymaticactivities phosphoribulokinase (prkA) and RuBisCO (ii)phosphoglycerate mutase genes gpmA and gpmM were de-leted to separate central metabolism into two sub-systemsie a CO2-fixing part that included PrkA RuBisCO upperglycolysis and the pentose phosphate pathway and an en-ergy-supplying module that employed lower glycolysis andthe TCA cycle (iii) the engineered strain bearing furthermutations (ΔpfkA ΔpfkB Δzwf) was exposed to the strongselective pressure towards greater carbon fixation in xylose-limited chemostat with a surplus pyruvate and CO2Emerged mutations made designed CBB cycle functionaland the hemiautotrophic strain that replaced utilisation ofxylose with CO2 fixation dominated the populationFigure adapted from Antonovsky et al (2016)

P Dvořaacutek et al Biotechnology Advances 35 (2017) 845ndash866

860

1981) In biodegradation research exposing microorganisms with de-sirable catabolic traits to the target chemical(s) for prolonged intervalsin chemostat or shaken-flask cultures enabled isolation of bacteria ableto use persistent compounds such as 245-trichlorophenoxyacetic acid(the defoliating Agent Orange) or helped improve atrazine degradationrates by Pseudomonas sp ADP or 24-dichlorophenoxyacetic by Ral-stonia sp TFD41 (Devers et al 2008 Kellogg et al 1981 Nakatsuet al 1998) Nonetheless the potential of ALE in engineering microbialdegraders has yet not been fully exploited ALE will be an ideal tool forempowering rationally pre-designed recombinants with resistance todiverse environmental stresses encountered in directed biodegradationprocesses or in polluted ecosystems (Nicolaou et al 2010 Oide et al2015 Wang et al 2016) When combined with whole-genome se-quencing and reverse engineering ALE as an evolutionary ldquoblindrdquo ap-proach can paradoxically contribute to further rationalizing the field byexposing otherwise unpredictable complex changes in multitrait phe-notypes

The second approach bets on technology without compromise andwill take advantage of continuing technological revolution in biologyand related sciences We recently witnessed the attempt of syntheticbiologists to implement automation as we know it from electronic en-gineering in the design of orthogonal genetic circuits that would co-ordinate the actions of selected microbial chassis (Nielsen et al 2016)The genetic ldquogutsrdquo and pathway enzymes of the chassis can be designedand synthesized de novo or be tailored rapidly with surgical precisionusing new genome editing and protein engineering tools (Huang et al2016 Hutchison et al 2016 Nyerges et al 2016 Ran et al 2013Renata et al 2015) Although the circuit design tools still work pre-dominantly with simple logic gates the robustness and utility of theavailable minimal cells is limited and de novo-designed enzymes havelow activity we can assume that the efficiency reliability and timedemand of such exercises will be further improved by progress incomputer science and artificial intelligence development that couldcrack the complexity of life A purely technological approach wouldomit any unknowns from the DBTA cycle with help of reliable com-putational simulations thus expanding it to DSBTA (Design-Simulate-Build-Test-Analyze) and providing space for construction of whole-cellcatalysts perfectly tailored for specific biodegradation tasks

The challenges of both approaches applied to directed in situ bior-emediation encompass the development of test schemes that will ex-pose engineered organisms to mimicked environmental conditions in-cluding limiting carbon sources lack of oxygen or redox recycling masstransfer perturbations or interspecific predation (Meckenstock et al2015) A critical issue will be the choice and establishment of newchassis organisms better suited to field biotransformations than thecurrently available laboratory strains in terms of resistance to harshconditions including extreme pH temperature osmotic pressure orfluctuating concentrations of toxic chemicals (Adams 2016) Thesenew strains must simultaneously be reliable amenable to genetic ma-nipulation have mapped genomes and ideally metabolic models athand The in situ bioremediation quests will be complicated by thevarying nature of polluting compounds their mixtures and transfor-mation products all of which can be present at a single site (Sarigiannisand Hansen 2012) Future microbial degraders must therefore be de-signed to cope with several problem compounds in parallel and notonly in terms of degradation or mineralization The succesful conver-sion of dangerous contaminants into usable molecules that can be fur-ther valorized by whole-cell or cell-free biocatalysts is a desirablestarting point for the development of new technologies that extendstandard concepts of biodegradation and bioremediation (Dvorak et al2014a Wigginton et al 2012) Microbe-driven trash-to-treasure con-versions are known from established biomass valorization processesbut this concept can also be implemented in wastewater treatmentmetal and plastic recycling or in direct valorization of industrial by-product streams or captured greenhouse gases (Bornscheuer 2016Koutinas et al 2014 Nancharaiah et al 2016 Wierckx et al 2015)

Even so the major challenge to the entire field of engineered de-graders is not related to continued progress in the development of im-proved technologies which is inevitable but rather to the dissemina-tion and popularization of achievements already attained Publicenvironmental concerns and regulatory constraints have not just re-stricted field tests of genetically modified microbes but also affect thequality of fundamental research and by the same token overall pro-gress in the field The exercises described in this review will only have achance to become real enterprises if the general population is inspiredby biotechnology and accepts it as an inseparable part of our dailyroutine as it did for information technology The new systemic dis-ciplines that make life less puzzling as well as emerging do-it-yourselfmovement in biotechnology can undoubtedly contribute to a generalchange of attitude (de Lorenzo and Schmidt 2017) Such change isvital because our ability to minimize production of waste and pollutingchemicals remove existing waste or use it in bioprocesses to formvalue-added compounds will shape the fate of our society on a globalscale

Acknowledgements

PD is the holder of the Marie Sklodowska-Curie grant No 704410(FUTURE) The work in Authors Laboratory was funded by theCAMBIOS Project of the Spanish Ministry of Economy andCompetitiveness RTC-2014-1777-3 (MINECO) HELIOS Project of theSpanish Ministry of Economy and Competitiveness BIO 2015-66960-C3-2-R (MINECOFEDER) and the ARISYS (ERC-2012-ADG-322797)EmPowerPutida (EU-H2020-BIOTEC-2014-2015-6335536) andRaft4Biotech (720776) contracts of the European Union JD is sup-ported also by the Czech Ministry of Education (LQ1605 LO1214LM2015055) and Czech Grant Agency (GA16-06096S) The financialsupport of The Novo Nordisk Foundation to PIN is also gratefully ac-knowledged

References

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de Lorenzo V 2008 Systems biology approaches to bioremediation Curr OpinBiotechnol 19 579ndash589 httpdxdoiorg101016jcopbio200810004

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de Lorenzo V 2017 Seven microbial bio-processes to help the planet EnvironMicrobiol httponlinelibrarywileycomdoi1011111751-791512816full

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de Lorenzo V Schmidt M 2017 The do-it-yourself movement as a source of innovationin biotechnology - and much more Microb Biotechnol 10 517ndash519 httpdxdoiorg1011111751-791512715

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Dvorak P Bidmanova S Damborsky J Prokop Z 2014a Immobilized syntheticpathway for biodegradation of toxic recalcitrant pollutant 123-trichloropropaneEnviron Sci Technol 48 6859ndash6866 httpdxdoiorg101021es500396r

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Dvorak P Chrast L Nikel PI Fedr R Soucek K Sedlackova M Chaloupkova Rde Lorenzo V Prokop Z Damborsky J 2015 Exacerbation of substrate toxicity byIPTG in Escherichia coli BL21(DE3) carrying a synthetic metabolic pathway MicrobCell Factories 14 201 httpdxdoiorg101186s12934-015-0393-3

Ebenau-Jehle C Mergelsberg M Fischer S Bruumlls T Jehmlich N von Bergen MBoll M 2017 An unusual strategy for the anoxic biodegradation of phthalate ISMEJ 11 224ndash236 httpdxdoiorg101038ismej201691

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Fibinger MPC Davids T Boumlttcher D Bornscheuer UT 2015 A selection assay forhaloalkane dehalogenase activity based on toxic substrates Appl MicrobiolBiotechnol 99 8955ndash8962 httpdxdoiorg101007s00253-015-6686-y

Finley SD Broadbelt LJ Hatzimanikatis V 2009 Computational framework forpredictive biodegradation Biotechnol Bioeng 104 1086ndash1097 httpdxdoiorg101002bit22489

Finley SD Broadbelt LJ Hatzimanikatis V 2010 In silico feasibility of novel bio-degradation pathways for 124-trichlorobenzene BMC Syst Biol 4 7 httpdxdoiorg1011861752-0509-4-7

Francis CW Mankin JB 1977 High nitrate denitrification in continuous flow-stirredreactors Water Res 11 httpdxdoiorg1010160043-1354(77)90061-6

Fuchs G 2011 Alternative pathways of carbon dioxide fixation insights into the earlyevolution of life Annu Rev Microbiol 65 631ndash658 httpdxdoiorg101146annurev-micro-090110-102801

Gao J Ellis LBM Wackett LP 2010 The University of Minnesota BiocatalysisBiodegradation Database improving public access Nucleic Acids Res 38 D488ndash491httpdxdoiorg101093nargkp771

Gao F Ding H Feng Z Liu D Zhao Y 2014 Functional display of triphenylmethanereductase for dye removal on the surface of Escherichia coli using N-terminal domainof ice nucleation protein Bioresour Technol 169 181ndash187 httpdxdoiorg101016jbiortech201406093

Geueke B Garg N Ghosh S Fleischmann T Holliger C Lal R Kohler H-PE2013 Metabolomics of hexachlorocyclohexane (HCH) transformation ratio of LinAto LinB determines metabolic fate of HCH isomers Environ Microbiol 151040ndash1049 httpdxdoiorg1011111462-292012009

Gilbert ES Walker AW Keasling JD 2003 A constructed microbial consortium forbiodegradation of the organophosphorus insecticide parathion Appl MicrobiolBiotechnol 61 77ndash81 httpdxdoiorg101007s00253-002-1203-5

Glass JI Assad-Garcia N Alperovich N Yooseph S Lewis MR Maruf MHutchison CA Smith HO Venter JC 2006 Essential genes of a minimal bac-terium Proc Natl Acad Sci U S A 103 425ndash430 httpdxdoiorg101073pnas0510013103

Glick BR 1995 Metabolic load and heterologous gene expression Biotechnol Adv 13247ndash261

Guazzaroni M-E Herbst F-A Lores I Tamames J Pelaacuteez AI Loacutepez-Corteacutes NAlcaide M Del Pozo MV Vieites JM von Bergen M Gallego JLR BargielaR Loacutepez-Loacutepez A Pieper DH Rosselloacute-Moacutera R Saacutenchez J Seifert J FerrerM 2013 Metaproteogenomic insights beyond bacterial response to naphthaleneexposure and bio-stimulation ISME J 7 122ndash136 httpdxdoiorg101038ismej201282

Gredell JA Frei CS Cirino PC 2012 Protein and RNA engineering to customizemicrobial molecular reporting Biotechnol J 7 477ndash499 httponlinelibrarywileycomdoi101002biot201100266full

Gutierrez T Singleton DR Berry D Yang T Aitken MD Teske A 2013Hydrocarbon-degrading bacteria enriched by the Deepwater Horizon oil spill iden-tified by cultivation and DNA-SIP ISME J 7 2091ndash2104 httpdxdoiorg101038ismej201398

Hadadi N Hafner J Shajkofci A Zisaki A Hatzimanikatis V 2016 ATLAS ofbiochemistry a repository of all possible biochemical reactions for synthetic biologyand metabolic engineering studies ACS Synth Biol 5 1155ndash1166 httpdxdoiorg101021acssynbio6b00054

Haro MA de Lorenzo V 2001 Metabolic engineering of bacteria for environmentalapplications construction of Pseudomonas strains for biodegradation of 2-chlor-otoluene J Biotechnol 85 103ndash113

Hatzimanikatis V Li C Ionita JA Henry CS Jankowski MD Broadbelt LJ2005 Exploring the diversity of complex metabolic networks Bioinforma Oxf Engl21 1603ndash1609 httpdxdoiorg101093bioinformaticsbti213

He W Yuan S Zhong W-H Siddikee MA Dai C-C 2016 Application of geneti-cally engineered microbial whole-cell biosensors for combined chemosensing ApplMicrobiol Biotechnol 100 1109ndash1119 httpdxdoiorg101007s00253-015-7160-6

Hennig S Roumldel G Ostermann K 2015 Artificial cell-cell communication as anemerging tool in synthetic biology applications J Biol Eng 9 13 httpdxdoiorg101186s13036-015-0011-2

Hicks N Vik U Taylor P Ladoukakis E Park J Kolisis F Jakobsen KS 2017Using prokaryotes for carbon capture storage Trends Biotechnol 35 22ndash32 httpdxdoiorg101016jtibtech201606011

Hodgman CE Jewett MC 2012 Cell-free synthetic biology thinking outside the cellMetab Eng 14 261ndash269 httpdxdoiorg101016jymben201109002

Huang P-S Boyken SE Baker D 2016 The coming of age of de novo protein designNature 537 320ndash327 httpdxdoiorg101038nature19946

Hutchison CA Chuang R-Y Noskov VN Assad-Garcia N Deerinck TJ EllismanMH Gill J Kannan K Karas BJ Ma L Pelletier JF Qi Z-Q Richter RAStrychalski EA Sun L Suzuki Y Tsvetanova B Wise KS Smith HO GlassJI Merryman C Gibson DG Venter JC 2016 Design and synthesis of aminimal bacterial genome Science 351 aad6253 httpdxdoiorg101126

scienceaad6253Iwakiri R Yoshihira K Ngadiman Null Futagami T Goto M Furukawa K 2004

Total degradation of pentachloroethane by an engineered Alcaligenes strain expres-sing a modified camphor monooxygenase and a hybrid dioxygenase BiosciBiotechnol Biochem 68 1353ndash1356 httpdxdoiorg101271bbb681353

Izallalen M Mahadevan R Burgard A Postier B Didonato R Sun J SchillingCH Lovley DR 2008 Geobacter sulfurreducens strain engineered for increasedrates of respiration Metab Eng 10 267ndash275 httpdxdoiorg101016jymben200806005

Janssen DB Dinkla IJT Poelarends GJ Terpstra P 2005 Bacterial degradation ofxenobiotic compounds evolution and distribution of novel enzyme activitiesEnviron Microbiol 7 1868ndash1882 httpdxdoiorg101111j1462-2920200500966x

Kanehisa M Goto S Sato Y Kawashima M Furumichi M Tanabe M 2014 Datainformation knowledge and principle back to metabolism in KEGG Nucleic AcidsRes 42 D199ndash205 httpdxdoiorg101093nargkt1076

Karig DK 2017 Cell-free synthetic biology for environmental sensing and remediationCurr Opin Biotechnol 45 69ndash75 httpdxdoiorg101016jcopbio201701010

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Khersonsky O Tawfik DS 2010 Enzyme promiscuity a mechanistic and evolutionaryperspective Annu Rev Biochem 79 471ndash505 httpdxdoiorg101146annurev-biochem-030409-143718

Kim J Copley SD 2012 Inhibitory cross-talk upon introduction of a new metabolicpathway into an existing metabolic network Proc Natl Acad Sci U S A 109E2856ndash2864 httpdxdoiorg101073pnas1208509109

Kim S Baek S-H Lee K Hahn J-S 2013a Cellulosic ethanol production using ayeast consortium displaying a minicellulosome and β-glucosidase Microb CellFactories 12 14 httpdxdoiorg1011861475-2859-12-14

Kim J Oliveros JC Nikel PI de Lorenzo V Silva-Rocha R 2013b Transcriptomicfingerprinting of Pseudomonas putida under alternative physiological regimesEnviron Microbiol Rep 5 883ndash891 httpdxdoiorg1011111758-222912090

Kim S Thiessen PA Bolton EE Chen J Fu G Gindulyte A Han L He J He SShoemaker BA Wang J Yu B Zhang J Bryant SH 2016 PubChem substanceand compound databases Nucleic Acids Res 44 D1202ndash1213 httpdxdoiorg101093nargkv951

King ZA Lloyd CJ Feist AM Palsson BO 2015 Next-generation genome-scalemodels for metabolic engineering Curr Opin Biotechnol 35 23ndash29 httpdxdoiorg101016jcopbio201412016

Kleinstiver BP Pattanayak V Prew MS Tsai SQ Nguyen NT Zheng Z JoungJK 2016 High-fidelity CRISPR-Cas9 nucleases with no detectable genome-wide off-target effects Nature 529 490ndash495 httpdxdoiorg101038nature16526

Kosuri S Church GM 2014 Large-scale de novo DNA synthesis technologies andapplications Nat Methods 11 499ndash507 httpdxdoiorg101038nmeth2918

Koutinas AA Vlysidis A Pleissner D Kopsahelis N Lopez Garcia I Kookos IKPapanikolaou S Kwan TH Lin CSK 2014 Valorization of industrial waste andby-product streams via fermentation for the production of chemicals and biopoly-mers Chem Soc Rev 43 2587ndash2627 httpdxdoiorg101039c3cs60293a

Krewski D Andersen ME Mantus E Zeise L 2009 Toxicity testing in the 21stcentury implications for human health risk assessment Risk Anal 29 474ndash479httpdxdoiorg101111j1539-6924200801150x

Kube M Chernikova TN Al-Ramahi Y Beloqui A Lopez-Cortez N Guazzaroni M-E Heipieper HJ Klages S Kotsyurbenko OR Langer I Nechitaylo TYLuumlnsdorf H Fernaacutendez M Juaacuterez S Ciordia S Singer A Kagan O Egorova OPetit PA Stogios P Kim Y Tchigvintsev A Flick R Denaro R Genovese MAlbar JP Reva ON Martiacutenez-Gomariz M Tran H Ferrer M Savchenko AYakunin AF Yakimov MM Golyshina OV Reinhardt R Golyshin PN 2013Genome sequence and functional genomic analysis of the oil-degrading bacteriumOleispira antarctica Nat Commun 4 2156 httpdxdoiorg101038ncomms3156

Kuipers RK Joosten H-J van Berkel WJH Leferink NGH Rooijen E IttmannE van Zimmeren F Jochens H Bornscheuer U Vriend G dos Santos VAPMSchaap PJ 2010 3DM systematic analysis of heterogeneous superfamily data todiscover protein functionalities Proteins 78 2101ndash2113 httpdxdoiorg101002prot22725

Kurumbang NP Dvorak P Bendl J Brezovsky J Prokop Z Damborsky J 2014Computer-assisted engineering of the synthetic pathway for biodegradation of a toxicpersistent pollutant ACS Synth Biol 3 172ndash181 httpdxdoiorg101021sb400147n

Latino DARS Wicker J Guumltlein M Schmid E Kramer S Fenner K 2017 Eawag-Soil in enviPath a new resource for exploring regulatory pesticide soil biodegrada-tion pathways and half-life data Environ Sci Processes Impacts 19 449ndash464httpdxdoiorg101039c6em00697c

Lee J Cao L Ow SY Barrios-Llerena ME Chen W Wood TK Wright PC 2006Proteome changes after metabolic engineering to enhance aerobic mineralization ofcis‑12-dichloroethylene J Proteome Res 5 1388ndash1397 httpdxdoiorg101021pr060008t

Lee JW Na D Park JM Lee J Choi S Lee SY 2012 Systems metabolic en-gineering of microorganisms for natural and non-natural chemicals Nat Chem Biol8 536ndash546 httpdxdoiorg101038nchembio970

Lehrbach PR Zeyer J Reineke W Knackmuss HJ Timmis KN 1984 Enzymerecruitment in vitro use of cloned genes to extend the range of haloaromatics de-graded by Pseudomonas sp strain B13 J Bacteriol 158 1025ndash1032

Li G-Q Ma T Li S-S Li H Liang F-L Liu R-L 2007 Improvement of di-benzothiophene desulfurization activity by removing the gene overlap in the dsz

P Dvořaacutek et al Biotechnology Advances 35 (2017) 845ndash866

863

operon Biosci Biotechnol Biochem 71 849ndash854 httpdxdoiorg101271bbb60189

Li Z Yoshida N Wang A Nan J Liang B Zhang C Zhang D Suzuki D Zhou XXiao Z Katayama A 2015 Anaerobic mineralization of 246-tribromophenol toCO2 by a synthetic microbial community comprising Clostridium Dehalobacter andDesulfatiglans Bioresour Technol 176 225ndash232 httpdxdoiorg101016jbiortech201410097

Libis V Deleacutepine B Faulon J-L 2016 Expanding biosensing abilities through com-puter-aided design of metabolic pathways ACS Synth Biol 5 1076ndash1085 httpdxdoiorg101021acssynbio5b00225

Liss M Daubert D Brunner K Kliche K Hammes U Leiherer A Wagner R 2012Embedding permanent watermarks in synthetic genes PLoS One 7 e42465 httpdxdoiorg101371journalpone0042465

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Liu J Tan L Wang J Wang Z Ni H Li L 2016 Complete biodegradation ofchlorpyrifos by engineered Pseudomonas putida cells expressing surface-immobilizedlaccases Chemosphere 157 200ndash207 httpdxdoiorg101016jchemosphere201605031

Loeschcke A Markert A Wilhelm S Wirtz A Rosenau F Jaeger K-E Drepper T2013 TREX a universal tool for the transfer and expression of biosynthetic pathwaysin bacteria ACS Synth Biol 2 22ndash33 httpdxdoiorg101021sb3000657

Long MR Ong WK Reed JL 2015 Computational methods in metabolic en-gineering for strain design Curr Opin Biotechnol 34 135ndash141 httpdxdoiorg101016jcopbio201412019

Lorenzo V Loza-Tavera H 2011 Microbial bioremediation of chemical pollutants howbacteria cope with multi-stress environmental scenarios In Storz G Hengge R(Eds) Bacterial Stress Responses Second edition ASM Press Washington DC pp481ndash492 httpdxdoiorg1011289781555816841ch30

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Lykidis A Peacuterez-Pantoja D Ledger T Mavromatis K Anderson IJ Ivanova NNHooper SD Lapidus A Lucas S Gonzaacutelez B Kyrpides NC 2010 The completemultipartite genome sequence of Cupriavidus necator JMP134 a versatile pollutantdegrader PLoS One 5 e9729 httpdxdoiorg101371journalpone0009729

Marathe NP Pal C Gaikwad SS Jonsson V Kristiansson E Larsson DGJ 2017Untreated urban waste contaminates Indian river sediments with resistance genes tolast resort antibiotics Water Res 124 388ndash397 httpdxdoiorg101016jwatres201707060

Martiacutenez I Mohamed ME-S Rozas D Garciacutea JL Diacuteaz E 2016 Engineering syn-thetic bacterial consortia for enhanced desulfurization and revalorization of oil sulfurcompounds Metab Eng 35 46ndash54 httpdxdoiorg101016jymben201601005

Martiacutenez-Garciacutea E de Lorenzo V 2012 Transposon-based and plasmid-based genetictools for editing genomes of gram-negative bacteria Methods Mol Biol 813267ndash283 (Clifton NJ) httpdxdoiorg101007978-1-61779-412-4_16

Martiacutenez-Garciacutea E de Lorenzo V 2016 The quest for the minimal bacterial genomeCurr Opin Biotechnol 42 216ndash224 httpdxdoiorg101016jcopbio201609001

Martiacutenez-Garciacutea E Aparicio T de Lorenzo V Nikel PI 2014a New transposon toolstailored for metabolic engineering of gram-negative microbial cell factories FrontBioeng Biotechnol 2 46 httpdxdoiorg103389fbioe201400046

Martiacutenez-Garciacutea E Nikel PI Aparicio T de Lorenzo V 2014b Pseudomonas 20genetic upgrading of P putida KT2440 as an enhanced host for heterologous geneexpression Microb Cell Factories 13 159 httpdxdoiorg101186s12934-014-0159-3

Martiacutenez-Garciacutea E Aparicio T Gontildei-Moreno A Fraile S de Lorenzo V 2015 SEVA20 an update of the Standard European Vector Architecture for de-re-constructionof bacterial functionalities Nucleic Acids Res 43 D1183ndash1189 httpdxdoiorg101093nargku1114

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Medema MH van Raaphorst R Takano E Breitling R 2012 Computational tools forthe synthetic design of biochemical pathways Nat Rev Microbiol 10 191ndash202httpdxdoiorg101038nrmicro2717

Mendes P Hoops S Sahle S Gauges R Dada J Kummer U 2009 Computationalmodeling of biochemical networks using COPASI Methods Mol Biol 500 17ndash59(Clifton NJ) httpdxdoiorg101007978-1-59745-525-1_2

Minty JJ Singer ME Scholz SA Bae C-H Ahn J-H Foster CE Liao JC LinXN 2013 Design and characterization of synthetic fungal-bacterial consortia fordirect production of isobutanol from cellulosic biomass Proc Natl Acad Sci U S A110 14592ndash14597 httpdxdoiorg101073pnas1218447110

Moraiumls S Shterzer N Lamed R Bayer EA Mizrahi I 2014 A combined cell-con-sortium approach for lignocellulose degradation by specialized Lactobacillus plan-tarum cells Biotechnol Biofuels 7 112 httpdxdoiorg1011861754-6834-7-112

Morgat A Axelsen KB Lombardot T Alcaacutentara R Aimo L Zerara M Niknejad A

Belda E Hyka-Nouspikel N Coudert E Redaschi N Bougueleret L SteinbeckC Xenarios I Bridge A 2015 Updates in Rheamdasha manually curated resource ofbiochemical reactions Nucleic Acids Res 43 D459ndash464 httpdxdoiorg101093nargku961

Mulbry W Ahrens E Karns J 1998 Use of a field-scale biofilter for the degradation ofthe organophosphate insecticide coumaphos in cattle dip wastes Pestic Sci 52268ndash274 httpdxdoiorg101002(SICI)1096-9063(199803)523lt268AID-PS719gt30CO2-2

Muschiol J Peters C Oberleitner N Mihovilovic MD Bornscheuer UT Rudroff F2015 Cascade catalysismdashstrategies and challenges en route to preparative syntheticbiology Chem Commun (Camb) 51 5798ndash5811 httpdxdoiorg101039c4cc08752f

Mutlu BR Yeom S Wackett L Aksan A 2015 Modelling and optimization of abioremediation system utilizing silica gel encapsulated whole-cell biocatalyst ChemEng J 259 574ndash580 httpdxdoiorg101016jcej201407130

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Nancharaiah YV Mohan SV Lens PNL 2016 Biological and bioelectrochemicalrecovery of critical and scarce metals Trends Biotechnol 34 137ndash155 httpdxdoiorg101016jtibtech201511003

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Nicolaou SA Gaida SM Papoutsakis ET 2010 A comparative view of metaboliteand substrate stress and tolerance in microbial bioprocessing from biofuels andchemicals to biocatalysis and bioremediation Metab Eng 12 307ndash331 httpdxdoiorg101016jymben201003004

Nielsen J Fussenegger M Keasling J Lee SY Liao JC Prather K Palsson B2014 Engineering synergy in biotechnology Nat Chem Biol 10 319ndash322 httpdxdoiorg101038nchembio1519

Nielsen AAK Der BS Shin J Vaidyanathan P Paralanov V Strychalski EARoss D Densmore D Voigt CA 2016 Genetic circuit design automation Science352 aac7341 httpdxdoiorg101126scienceaac7341

Nikel PI de Lorenzo V 2013 Engineering an anaerobic metabolic regime inPseudomonas putida KT2440 for the anoxic biodegradation of 13-dichloroprop-1-eneMetab Eng 15 98ndash112 httpdxdoiorg101016jymben201209006

Nikel PI Peacuterez-Pantoja D de Lorenzo V 2013 Why are chlorinated pollutants sodifficult to degrade aerobically Redox stress limits 13-dichloroprop-1-ene metabo-lism by Pseudomonas pavonaceae Philos Trans R Soc Lond Ser B Biol Sci 36820120377 httpdxdoiorg101098rstb20120377

Nikel PI Martiacutenez-Garciacutea E de Lorenzo V 2014 Biotechnological domestication ofpseudomonads using synthetic biology Nat Rev Microbiol 12 368ndash379 httpdxdoiorg101038nrmicro3253

Nikel PI Chavarriacutea M Fuhrer T Sauer U de Lorenzo V 2015 Pseudomonas putidaKT2440 strain metabolizes glucose through a cycle formed by enzymes of the Entner-Doudoroff Embden-Meyerhof-Parnas and pentose phosphate pathways J BiolChem 290 25920ndash25932 httpdxdoiorg101074jbcM115687749

Nikel PI Chavarriacutea M Danchin A de Lorenzo V 2016a From dirt to industrialapplications Pseudomonas putida as a synthetic biology chassis for hosting harshbiochemical reactions Curr Opin Chem Biol 34 20ndash29 httpdxdoiorg101016jcbpa201605011

Nikel PI Peacuterez-Pantoja D de Lorenzo V 2016b Pyridine nucleotide transhy-drogenases enable redox balance of Pseudomonas putida during biodegradation ofaromatic compounds Environ Microbiol 18 3565ndash3582 httpdxdoiorg1011111462-292013434

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Oide S Gunji W Moteki Y Yamamoto S Suda M Jojima T Yukawa H Inui M2015 Thermal and solvent stress cross-tolerance conferred to Corynebacterium glu-tamicum by adaptive laboratory evolution Appl Environ Microbiol 81 2284ndash2298httpdxdoiorg101128AEM03973-14

Oosterkamp MJ Veuskens T Talarico Saia F Weelink SAB Goodwin LADaligault HE Bruce DC Detter JC Tapia R Han CS Land ML Hauser LJLangenhoff AAM Gerritse J van Berkel WJH Pieper DH Junca H SmidtH Schraa G Davids M Schaap PJ Plugge CM Stams AJM 2013 Genomeanalysis and physiological comparison of Alicycliphilus denitrificans strains BC andK601(T) PLoS One 8 e66971 httpdxdoiorg101371journalpone0066971

Paddon CJ Keasling JD 2014 Semi-synthetic artemisinin a model for the use ofsynthetic biology in pharmaceutical development Nat Rev Microbiol 12 355ndash367httpdxdoiorg101038nrmicro3240

Parales RE Ditty JL 2005 Laboratory evolution of catabolic enzymes and pathwaysCurr Opin Biotechnol 16 315ndash325 httpdxdoiorg101016jcopbio200503008

P Dvořaacutek et al Biotechnology Advances 35 (2017) 845ndash866

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Pascual J Udaondo Z Molina L Segura A Esteve-Nuacutentildeez A Caballero A DuqueE Ramos JL van Dillewijn P 2015 Draft genome sequence of Pseudomonas putidaJLR11 a facultative anaerobic 246-trinitrotoluene biotransforming bacteriumGenome Announc 3 httpdxdoiorg101128genomeA00904-15

Patil VV Park K-H Lee S-G Woo E 2016 Structural analysis of the phenol-re-sponsive sensory domain of the transcription activator PoxR Structure 1993 (24)624ndash630 (Lond Engl) httpdxdoiorg101016jstr201603006

Patowary K Patowary R Kalita MC Deka S 2016 Development of an efficientbacterial consortium for the potential remediation of hydrocarbons from con-taminated sites Front Microbiol 7 1092 httpdxdoiorg103389fmicb201601092

Paul D Pandey G Jain RK 2005 Suicidal genetically engineered microorganisms forbioremediation need and perspectives Bioessays 27 563ndash573 httpdxdoiorg101002bies20220

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Petrie B Barden R Kasprzyk-Hordern B 2015 A review on emerging contaminants inwastewaters and the environment current knowledge understudied areas and re-commendations for future monitoring In Water Res Occurrence Fate Removal andAssessment of Emerging Contaminants in Water in the Water Cycle (FromWastewater to Drinking Water) 72 pp 3ndash27 httpdxdoiorg101016jwatres201408053

Planson A-G Carbonell P Paillard E Pollet N Faulon J-L 2012 Compoundtoxicity screening and structure-activity relationship modeling in Escherichia coliBiotechnol Bioeng 109 846ndash850 httpdxdoiorg101002bit24356

Puchałka J Oberhardt MA Godinho M Bielecka A Regenhardt D Timmis KNPapin JA Martins dos Santos VAP 2008 Genome-scale reconstruction andanalysis of the Pseudomonas putida KT2440 metabolic network facilitates applicationsin biotechnology PLoS Comput Biol 4 e1000210 httpdxdoiorg101371journalpcbi1000210

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Ramos J-L Marqueacutes S van Dillewijn P Espinosa-Urgel M Segura A Duque EKrell T Ramos-Gonzaacutelez M-I Bursakov S Roca A Solano J Fernaacutedez MNiqui JL Pizarro-Tobias P Wittich R-M 2011 Laboratory research aimed atclosing the gaps in microbial bioremediation Trends Biotechnol 29 641ndash647httpdxdoiorg101016jtibtech201106007

Ran FA Hsu PD Wright J Agarwala V Scott DA Zhang F 2013 Genome en-gineering using the CRISPR-Cas9 system Nat Protoc 8 2281ndash2308 httpdxdoiorg101038nprot2013143

Raunio H Kuusisto M Juvonen RO Pentikaumlinen OT 2015 Modeling of interac-tions between xenobiotics and cytochrome P450 (CYP) enzymes Front Pharmacol 6123 httpdxdoiorg103389fphar201500123

Ravikumar S Baylon MG Park SJ Choi J-I 2017 Engineered microbial biosensorsbased on bacterial two-component systems as synthetic biotechnology platforms inbioremediation and biorefinery Microb Cell Factories 16 62 httpdxdoiorg101186s12934-017-0675-z

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Reineke W Knackmuss HJ 1979 Construction of haloaromatics utilising bacteriaNature 277 385ndash386

Renata H Wang ZJ Arnold FH 2015 Expanding the enzyme universe accessingnon-natural reactions by mechanism-guided directed evolution Angew Chem IntEd Eng 54 3351ndash3367 httpdxdoiorg101002anie201409470

Rockstroumlm J Gaffney O Rogelj J Meinshausen M Nakicenovic N SchellnhuberHJ 2017 A roadmap for rapid decarbonization Science 355 1269ndash1271 httpdxdoiorg101126scienceaah3443

Rojo F Pieper DH Engesser KH Knackmuss HJ Timmis KN 1987 Assemblageof ortho cleavage route for simultaneous degradation of chloro- and methylaromaticsScience 238 1395ndash1398

Rollin JA Martin del Campo J Myung S Sun F You C Bakovic A Castro RChandrayan SK Wu C-H Adams MWW Senger RS Zhang Y-HP 2015High-yield hydrogen production from biomass by in vitro metabolic engineeringmixed sugars coutilization and kinetic modeling Proc Natl Acad Sci U S A 1124964ndash4969 httpdxdoiorg101073pnas1417719112

Rui L Kwon YM Reardon KF Wood TK 2004 Metabolic pathway engineering toenhance aerobic degradation of chlorinated ethenes and to reduce their toxicity bycloning a novel glutathione S-transferase an evolved toluene o-monooxygenase andgamma-glutamylcysteine synthetase Environ Microbiol 6 491ndash500 httpdxdoiorg101111j1462-2920200400586x

Samin G Janssen DB 2012 Transformation and biodegradation of 123-tri-chloropropane (TCP) Environ Sci Pollut Res Int 19 3067ndash3078 httpdxdoiorg101007s11356-012-0859-3

Samin G Pavlova M Arif MI Postema CP Damborsky J Janssen DB 2014 Apseudomonas putida strain genetically engineered for 123-trichloropropane bior-emediation Appl Environ Microbiol 80 5467ndash5476 httpdxdoiorg101128AEM01620-14

Santacoloma PA Sin G Gernaey KV Woodley JM 2011 Multienzyme-catalyzedprocesses next-generation biocatalysis Org Process Res Dev 15 203ndash212 httpdxdoiorg101021op1002159

Santos CNS Yoshikuni Y 2014 Engineering complex biological systems in bacteriathrough recombinase-assisted genome engineering Nat Protoc 9 1320ndash1336

httpdxdoiorg101038nprot2014084Sarigiannis DA Hansen U 2012 Considering the cumulative risk of mixtures of

chemicals - a challenge for policy makers Environ Health 11 (Suppl 1) S18 httpdxdoiorg1011861476-069X-11-S1-S18

Schallmey M Frunzke J Eggeling L Marienhagen J 2014 Looking for the pick ofthe bunch high-throughput screening of producing microorganisms with biosensorsCurr Opin Biotechnol 26 148ndash154 httpdxdoiorg101016jcopbio201401005

Schellenberger J Que R Fleming RMT Thiele I Orth JD Feist AM ZielinskiDC Bordbar A Lewis NE Rahmanian S Kang J Hyduke DR Palsson BOslash2011 Quantitative prediction of cellular metabolism with constraint-based modelsthe COBRA Toolbox v20 Nat Protoc 6 1290ndash1307 httpdxdoiorg101038nprot2011308

Schmidt M 2010 Xenobiology a new form of life as the ultimate biosafety toolBioessays 32 322ndash331 httpdxdoiorg101002bies200900147

Schmidt M (Ed) 2012 Synthetic Biology Industrial and Environmental Applications1st edition Wiley-Blackwell

Schmidt M de Lorenzo V 2016 Synthetic bugs on the loose containment options fordeeply engineered (micro)organisms Curr Opin Biotechnol 38 90ndash96 httpdxdoiorg101016jcopbio201601006

Schwander T Schada von Borzyskowski L Burgener S Cortina NS Erb TJ 2016A synthetic pathway for the fixation of carbon dioxide in vitro Science 354 900ndash904httpdxdoiorg101126scienceaah5237

Scism RA Bachmann BO 2010 Five-component cascade synthesis of nucleotideanalogues in an engineered self-immobilized enzyme aggregate Chembiochem EurJ Chem Biol 11 67ndash70 httpdxdoiorg101002cbic200900620

Scott SR Hasty J 2016 Quorum sensing communication modules for microbialconsortia ACS Synth Biol 5 969ndash977 httpdxdoiorg101021acssynbio5b00286

Shapir N Mongodin EF Sadowsky MJ Daugherty SC Nelson KE Wackett LP2007 Evolution of catabolic pathways genomic insights into microbial s-triazinemetabolism J Bacteriol 189 674ndash682 httpdxdoiorg101128JB01257-06

Sheldon RA 2011 Characteristic features and biotechnological applications of cross-linked enzyme aggregates (CLEAs) Appl Microbiol Biotechnol 92 467ndash477 httpdxdoiorg101007s00253-011-3554-2

Shi L Dong H Reguera G Beyenal H Lu A Liu J Yu H-Q Fredrickson JK2016 Extracellular electron transfer mechanisms between microorganisms and mi-nerals Nat Rev Microbiol 14 651ndash662 httpdxdoiorg101038nrmicro201693

Si T Xiao H Zhao H 2015 Rapid prototyping of microbial cell factories via genome-scale engineering Biotechnol Adv 33 1420ndash1432 httpdxdoiorg101016jbiotechadv201411007

Silva-Rocha R de Lorenzo V 2014 Engineering multicellular logic in bacteria withmetabolic wires ACS Synth Biol 3 204ndash209 httpdxdoiorg101021sb400064y

Siu K-H Chen RP Sun Q Chen L Tsai S-L Chen W 2015 Synthetic scaffolds forpathway enhancement Curr Opin Biotechnol 36 98ndash106 httpdxdoiorg101016jcopbio201508009

Skariyachan S Manjunatha V Sultana S Jois C Bai V Vasist KS 2016 Novelbacterial consortia isolated from plastic garbage processing areas demonstrated en-hanced degradation for low density polyethylene Environ Sci Pollut Res Int 2318307ndash18319 httpdxdoiorg101007s11356-016-7000-y

Sohn SB Kim TY Park JM Lee SY 2010 In silico genome-scale metabolic ana-lysis of Pseudomonas putida KT2440 for polyhydroxyalkanoate synthesis degradationof aromatics and anaerobic survival Biotechnol J 5 739ndash750 httpdxdoiorg101002biot201000124

Stephanopoulos G 1999 Metabolic fluxes and metabolic engineering Metab Eng 11ndash11 httpdxdoiorg101006mben19980101

St-Pierre F Cui L Priest DG Endy D Dodd IB Shearwin KE 2013 One-stepcloning and chromosomal integration of DNA ACS Synth Biol 2 537ndash541 httpdxdoiorg101021sb400021j

Stucki G Thueer M 1995 Experiences of a large-scale application of 12-di-chloroethane degrading microorganisms for groundwater treatment Environ SciTechnol 29 2339ndash2345 httpdxdoiorg101021es00009a028

Takahashi K Ishikawa N Sadamoto Y Sasamoto H Ohta S Shiozawa A MiyoshiF Naito Y Nakayama Y Tomita M 2003 E-cell 2 multi-platform E-cell simu-lation system Bioinforma Oxf Engl 19 1727ndash1729

Tolia NH Joshua-Tor L 2006 Strategies for protein coexpression in Escherichia coliNat Methods 3 55ndash64 httpdxdoiorg101038nmeth0106-55

Tozakidis IEP Brossette T Lenz F Maas RM Jose J 2016 Proof of concept forthe simplified breakdown of cellulose by combining Pseudomonas putida strains withsurface displayed thermophilic endocellulase exocellulase and β-glucosidaseMicrob Cell Factories 15 103 httpdxdoiorg101186s12934-016-0505-8

Troumlgl J Krhůtkovaacute O Pilařovaacute V Daacuteňovaacute P Holiacuteček R Kohlovaacute M Hejda SSmrčka J Bouškovaacute A Křiklavovaacute L 2012 Removal of nitrates from high-salinitywastewaters from desulphurization process with denitrifying bacteria encapsulated inLentikats Biocatalyst Int J Environ Sci Technol 9 425ndash432 httpdxdoiorg101007s13762-012-0048-4

UniProt Consortium 2015 UniProt a hub for protein information Nucleic Acids Res 43D204ndash212 httpdxdoiorg101093nargku989

Vallenet D Calteau A Cruveiller S Gachet M Lajus A Josso A Mercier JRenaux A Rollin J Rouy Z Roche D Scarpelli C Meacutedigue C 2016MicroScope in 2017 an expanding and evolving integrated resource for communityexpertise of microbial genomes Nucleic Acids Res httpdxdoiorg101093nargkw1101

van Leeuwen JGE Wijma HJ Floor RJ van der Laan J-M Janssen DB 2012

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865

Directed evolution strategies for enantiocomplementary haloalkane dehalogenasesfrom chemical waste to enantiopure building blocks Chembiochem Eur J ChemBiol 13 137ndash148 httpdxdoiorg101002cbic201100579

Vilchez-Vargas R Junca H Pieper DH 2010 Metabolic networks microbial ecologyand ldquoomicsrdquo technologies towards understanding in situ biodegradation processesEnviron Microbiol 12 3089ndash3104 httpdxdoiorg101111j1462-2920201002340x

Wang HH Isaacs FJ Carr PA Sun ZZ Xu G Forest CR Church GM 2009Programming cells by multiplex genome engineering and accelerated evolutionNature 460 894ndash898 httpdxdoiorg101038nature08187

Wang B Kitney RI Joly N Buck M 2011 Engineering modular and orthogonalgenetic logic gates for robust digital-like synthetic biology Nat Commun 2 508httpdxdoiorg101038ncomms1516

Wang K Schmied WH Chin JW 2012 Reprogramming the genetic code from tri-plet to quadruplet codes Angew Chem Int Ed Eng 51 2288ndash2297 httpdxdoiorg101002anie201105016

Wang B Barahona M Buck M 2013 A modular cell-based biosensor using engineeredgenetic logic circuits to detect and integrate multiple environmental signals BiosensBioelectron 40 368ndash376 httpdxdoiorg101016jbios201208011

Wang L Xue C Wang L Zhao Q Wei W Sun Y 2016 Strain improvement ofChlorella sp for phenol biodegradation by adaptive laboratory evolution BioresourTechnol 205 264ndash268 httpdxdoiorg101016jbiortech201601022

Wei R Oeser T Schmidt J Meier R Barth M Then J Zimmermann W 2016Engineered bacterial polyester hydrolases efficiently degrade polyethylene ter-ephthalate due to relieved product inhibition Biotechnol Bioeng 113 1658ndash1665httpdxdoiorg101002bit25941

Wibberg D Bremges A Dammann-Kalinowski T Maus I Igentildeo MI Vogelsang RKoumlnig C Luque-Almagro VM Roldaacuten MD Sczyrba A Moreno-Viviaacuten CBlasco R Puumlhler A Schluumlter A 2016 Finished genome sequence and methylomeof the cyanide-degrading Pseudomonas pseudoalcaligenes strain CECT5344 as resolvedby single-molecule real-time sequencing J Biotechnol 232 61ndash68 httpdxdoiorg101016jjbiotec201604008

Wicker J Lorsbach T Guumltlein M Schmid E Latino D Kramer S Fenner K 2016enviPathmdashthe environmental contaminant biotransformation pathway resourceNucleic Acids Res 44 D502ndash508 httpdxdoiorg101093nargkv1229

Wierckx N Prieto MA Pomposiello P de Lorenzo V OConnor K Blank LM2015 Plastic waste as a novel substrate for industrial biotechnology MicrobBiotechnol 8 900ndash903 httpdxdoiorg1011111751-791512312

Wigginton N Yeston J Malakoff D 2012 Working with waste More treasure thantrash Introduction Science 337 662ndash663 httpdxdoiorg101126science3376095662

Winsor GL Griffiths EJ Lo R Dhillon BK Shay JA Brinkman FSL 2016Enhanced annotations and features for comparing thousands of Pseudomonas gen-omes in the Pseudomonas genome database Nucleic Acids Res 44 D646ndash653httpdxdoiorg101093nargkv1227

Wittich R-M Wolff P 2007 Growth of the genetically engineered strain Cupriavidusnecator RW112 with chlorobenzoates and technical chlorobiphenyls Microbiology153 186ndash195 httpdxdoiorg101099mic029096-0

Wittich R-M van Dillewijn P Ramos JL 2010 Rational construction of bacterialstrains with newimproved catabolic capabilities for the efficient breakdown of en-vironmental pollutants In Timmis KN (Ed) Handbook of Hydrocarbon and LipidMicrobiology Springer Berlin Heidelberg pp 1247ndash1254

Wolfaardt GM Lawrence JR Robarts RD Caldwell SJ Caldwell DE 1994Multicellular organization in a degradative biofilm community Appl EnvironMicrobiol 60 434ndash446

Wu G Yan Q Jones JA Tang YJ Fong SS Koffas MAG 2016 Metabolicburden cornerstones in synthetic biology and metabolic engineering applicationsTrends Biotechnol 34 652ndash664 httpdxdoiorg101016jtibtech201602010

Xu P Vansiri A Bhan N Koffas MAG 2012 ePathBrick a synthetic biology plat-form for engineering metabolic pathways in E coli ACS Synth Biol 1 256ndash266httpdxdoiorg101021sb300016b

Yadid I Rudolph J Hlouchova K Copley SD 2013 Sequestration of a highly re-active intermediate in an evolving pathway for degradation of pentachlorophenolProc Natl Acad Sci U S A 110 E2182ndash2190 httpdxdoiorg101073pnas1214052110

Yang J Liu R Jiang H Yang Y Qiao C 2012 Selection of a whole-cell biocatalystfor methyl parathion biodegradation Appl Microbiol Biotechnol 95 1625ndash1632httpdxdoiorg101007s00253-011-3792-3

Yang Y Yang J Jiang L 2016 Comment on A bacterium that degrades and assim-ilates poly(ethylene terephthalate) Science 353 759 httpdxdoiorg101126scienceaaf8305

Yoshida S Hiraga K Takehana T Taniguchi I Yamaji H Maeda Y Toyohara KMiyamoto K Kimura Y Oda K 2016a A bacterium that degrades and assimilatespoly(ethylene terephthalate) Science 351 1196ndash1199 httpdxdoiorg101126scienceaad6359

Yoshida S Hiraga K Takehana T Taniguchi I Yamaji H Maeda Y Toyohara KMiyamoto K Kimura Y Oda K 2016b Response to comment on A bacterium thatdegrades and assimilates poly(ethylene terephthalate) Science 353 759 httpdxdoiorg101126scienceaaf8625

Zobel S Benedetti I Eisenbach L de Lorenzo V Wierckx N Blank LM 2015 Tn7-based device for calibrated heterologous gene expression in Pseudomonas putida ACSSynth Biol 4 1341ndash1351 httpdxdoiorg101021acssynbio5b00058

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httpsevacnbcsices accessed 2252017

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  • Bioremediation 30 Engineering pollutant-removing bacteria in the times of systemic biology
    • Introduction
    • Approaches and tools of systems biology and metabolic engineering for tailoring biodegradation pathways
      • Step 1 get to know the contaminant and find a suitable catabolic pathway
        • Databases
        • Pathway prediction systems and toxicity prediction algorithms
        • Detection and quantification of pathway building blocks
          • Step 2 select and get to know a suitable microbial host
            • Omics techniques in studies of bacterial degraders
              • Step 3 build the pathway and optimize its performance in the context of host metabolism
                • Computational tools for pathway and strain optimization
                • Experimental tools for pathway and strain optimization
                • Protein engineering to eliminate bottlenecks of biodegradation pathways
                    • Synthetic biology approaches and tools for biodegradation pathway engineering
                      • Development of robust microbial chassis for biodegradation of toxic chemicals
                      • Development of synthetic microbial consortia for enhanced biodegradation and bioremediation of pollutants
                      • Development of orthogonal systems in bacteria to enhance pollutant biodegradation and bioremediation
                      • Engineering microbial biodegradation pathways in vitro
                        • Towards planet-wide bioremediation interventions CO2 capture as a large-scale challenge
                        • Conclusions and perspectives
                        • Acknowledgements
                        • References
                        • Web references
Page 7: Bioremediation 3.0 Engineering pollutant-removing bacteria ... · biology, metabolic engineering, and synthetic biology, for the sake of understanding and reprograming biological

221 Omics techniques in studies of bacterial degradersSystems biology and particularly lsquoomicrsquo techniques contributed

markedly to rational selection of suitable hosts for metabolic en-gineering The enormous amount of genetic information read with first-or next-generation sequencing techniques together with powerful newalgorithms and computational tools to aid with data mining allowedconsiderable progress in our understanding of dynamic interactionsinside and in between cells and the environments they inhabit(Bouhajja et al 2016 Vilchez-Vargas et al 2010) Available genomicdata also enabled new insights into the evolution of microbial meta-bolism towards biodegradation of well-recognized xenobiotics such as135-triazine (Shapir et al 2007) 16S rRNA-phylogenetic microarraysand the functional gene microarrays have been used to monitor mi-crobial community dynamics and to track activities of microbes in thepolluted environments respectively (Chakraborty et al 2012) Thereconstructed genome-scale metabolic models together with tran-scriptomic proteomic metabolomic and flux analyses in variousgrowth and stress conditions completely changed our view of popularbiodegradative bacterial hosts including the paradigmatic P putida(Sohn et al 2010)

For instance fluxomic analyses applied to P putida KT2440 helpedto reveal its distinct strategies for dealing with carbon sources eg byfavouring the routes that generate NADPH which promotes greaterresistance to oxidative stress (Chavarriacutea et al 2013 Nikel et al 2013)Examination of transcriptomic data uncovered the significant portion ofthe P putida genome (ge20) that is differentially expressed when thecells are grown on diverse substrates and emphasized the role of a suiteof global regulators (J Kim et al 2013) Recent complete structural re-annotation of the KT2440 strain genome allowed identification of 1485

CDSs associated to 1898 chemical reactions prediction of catabolicpathways for 92 compounds (carbon nitrogen and phosphorussources) and upgrading of the available genome-scale metabolic model(Belda et al 2016 Puchałka et al 2008) lsquoOmicrsquo analyses greatly in-creased insight into the genetic and physiological background of someother pseudomonads besides KT2440 including P pseudoalcaligenesCECT5344 which might be used for biodegradation of industrial cya-nide-containing wastes or the 246-trinitrotoluene biotransforming Pputida JLR11 (Pascual et al 2015 Wibberg et al 2016) At the time ofwriting this article there are 3133 drafted and 215 completed Pseu-domonas genomes currently available in the Pseudomonas Genome Da-tabase (httpwwwpseudomonascom) perhaps the most compre-hensive genomic database dedicated to a single bacterial genus (Winsoret al 2016)

Complete genomic sequences are currently available for many otherpotentially useful degraders such as Cupriavidus necator JMP134 abacterium with nearly 300 genes involved in the catabolism of aro-matics including chloroaromatics (Lykidis et al 2010) Other ex-amples include but are not limited to the PCBs-degrading Acidovoraxsp strain KKS102 (Ohtsubo et al 2012) the cyclic hydrocarbons-de-grading Alicycliphilus denitrificans strains BC and K601 (Oosterkampet al 2013) or the oil-degrading bacterium Oleispira antarctica whosegenome has provided useful information as to how bacteria mitigate oilspills in cold environments (Kube et al 2013) Genomic sequences ofthese and many other microorganisms with biodegradation capabilitiescan be searched through in comprehensive databases such as NCBIgenome database (httpswwwncbinlmnihgovgenome) or Micro-Scope (httpwwwgenoscopecnsfragcmicroscopehome) a mi-crobial genome annotation and analysis platform (Vallenet et al2016) developed in the Laboratory of Bioinformatics Analyses forGenomics and Metabolism at the National Sequencing Centre (EvryFrance) it provides a complete pipeline for annotations and compara-tive analyses of up to 6000 microbial genomes of which hundreds weremanually curated for accuracy

Despite interest in study of individual bacterial species the fasci-nating in situ systems biology exercise that followed one of the mostalarming ecological disasters in modern human history the 2010 BPDeepwater Horizon spill in the Gulf of Mexico emphasized the irre-placeable role of bacterial communities in natural bioremediationBacteria that can convert oil-derived alkanes and aromatics into thebiomass were identified based on (i) genome reconstructions via me-tagenome sequencing of the DNA from the stable-isotope-probing ex-periments (Dombrowski et al 2016) and (ii) cultivation trials using oilsamples from sea surface and deep sea collected during the outflow(Gutierrez et al 2013) Only the concerted action of many microbialspecies including Cycloclasticus Alcanivorax members of Rhodospir-illales Alteromonas and others augmented by the specific environmentof the oil spill allowed the degradation of the complex mixture thatconsisted of as many as 1000 compounds Metagenomic strategies helpto shed light also on the composition and dynamics of microbial con-sortia that participate in natural biodegradation of chorinated ethenesin contaminated groundwater (Adetutu et al 2015) or polycyclic aro-matic hydrocarbons in soils (Guazzaroni et al 2013)

23 Step 3 build the pathway and optimize its performance in the contextof host metabolism

Optimization of the proposed biochemical pathway in the context ofhost cell metabolism is often the most demanding part of the en-gineering project This is especially true for de novo synthetic pathwayscomposed of enzymes from different sources implanted into a newbacterial host Codon composition of introduced genes might not beoptimal for expression in a heterologous host enzyme activities mightnot be well balanced or might cross-talk with the native metabolicnetwork pathway intermediates can accumulate and inhibit the growthof cells or cofactors ATP or redox carriers might be lacking The

Fig 3 The action of the EDEMP cycle is illustrated with a theoretical example of fluxdistribution in glucose-grown P putida KT2440 Total carbon uptake is considered to be100 (arbitrary units) and glucose can be split into the phosphorylative (Glk) or oxidative(x) branches The net formation rates (v) of pyruvate (Pyr) ATP and NADPH are in-dicated in the inset table with r representing the amount of triose phosphates recycled tohexose phosphates through the action of the EDEMP cycle Note that part of the glucosecan also be oxidized through the action of the so-called peripheral reactions represented bythe overall flux x in the scheme and that two trioses are formed per glucose consumedie a glucose uptake flux of 100 (arbitrary units) will result in a pyruvate flux of 200Abbreviations ED pathway EntnerndashDoudoroff pathway EMP pathwayEmbdenndashMeyerhofndashParnas pathway PP pathway pentose phosphate pathway G6Pglucose-6-P F6P fructose-6-P FBP fructose-16-P2 DHAP dihydroxyacetone-P GA3Pglyceraldehyde-3-P 6PG 6-phosphogluconate KDPG 2-keto-3-deoxy-6-phosphogluco-nate 2KG 2-ketogluconate and 2K6PG 2-keto-6-phosphogluconate Figure adapted andmodified from (Nikel et al 2016a)

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portfolio of systemic tools that can help overcome these issues is ex-panding constantly Here we will center on the major concepts thathave proven useful in tailoring biodegradation pathways and microbialdegraders We will discuss the application of several of these moderntools including the example of engineering the synthetic catabolic routefor 123-trichloropropane (TCP Fig 2) an industrial byproduct ofanthropogenic origin now being recognized as a groundwater con-taminant (Samin and Janssen 2012) TCP is representative of difficult-to-degrade halogenated aliphatic compounds a tough case for re-mediation technologists due to its physicochemical properties toxicityin living organisms and absence of efficient natural catabolic pathway(Janssen et al 2005 Samin and Janssen 2012) The enzymes laterused to compose the first synthetic pathway that allowed mineraliza-tion of TCP by an engineered bacterium had already been described inthe late 1980s and early 90s (Bosma et al 1999) With a historyspanninggt 25 years the engineering of this biodegradation pathwaythus represents one of the most systematic efforts of its kind

231 Computational tools for pathway and strain optimizationThe tremendous increase in the number of sequenced genomes (the

number of complete genomes in the NCBI database has more thandoubled in the last two years) of unicelluar and multicellular organ-isms including the microbial degraders mentioned above led to thereconstruction of genome-scale metabolic models representing all(anotated) biochemical reactions that take place in the living cell (Kinget al 2015) Mathematical models of metabolic networks have a cen-tral role in metabolic engineering and in pathway and strain optimi-zation Modelling can be used to analyze the selected pathway (eg todetermine the distribution of metabolic fluxes) and identify reactionsthat must be modified to improve its performance Genome-scale me-tabolic models are built by compiling data on genes related to bio-chemical reactions from databases such as KEGG and BioCyc The genesare compared to already finalized reconstructions of related organismsto find homologous reactions the draft model is then refined and ver-ified by simulations Flux Balance Analysis (FBA) and Metabolic FluxAnalysis (MFA) are two major approaches that use metabolic models topredict intracellular fluxes (Stephanopoulos 1999) FBA is a theoreticalconcept that uses the stoichiometric coefficients for each reaction in thesystem as the set of constraints for optimization MFA determines in-tracellular fluxes from measurable rates of metabolite uptake and se-cretion in growth medium In a typical experiment substrates labelledwith the non-radioactive isotope 13C are used in chemostat-growncultures to trace fluxes through a cellular network Computational toolssuch as Cobra 20 for Matlab OptKnock or k-OptForce can implementconstraint-based flux calculations and suggest strategies based onknock-out upregulation or downregulation of target genes to optimizemetabolite production without compromising cell growth (Burgardet al 2003 Chowdhury et al 2014 Schellenberger et al 2011) In astudy by Izallalen and colleagues OptKnock was used together with theconstraint-based in silico model of Geobacter sulfurreducens to determinegene deletions which could lead to increased respiration rates (Izallalenet al 2008) Geobacter species are well recognized for their ability todegrade radioactive and toxic metals and have been explored for theirutility in microbial fuel cells (Shi et al 2016) These processes arenonetheless limited by electron transfer rates in cells OptKnock cal-culations followed by genetic constructions by the authors resulted inrecombinant Geobacter cells with decreased ATP levels slower growthrates and predicted higher respiration rates (Izallalen et al 2008)Subsequent genome-wide analysis of gene transcript levels also verifiedthe in silico predictions

Although FBA- and MFA-based approaches can handle genome-scalemetabolic models and require no information on enzyme kinetics theiroutput only gives a steady-state approximation of the dynamic reality inthe living cell Kinetic modelling is an alternative to static flux calcu-lations when reliable kinetic parameters of pathway enzymes and someother input data are available eg specific surface area of the cell

permeability coefficients for substrates metabolite concentrations orapproximate enzyme amount in the cell (Chowdhury et al 2015) Ki-netic constants can be obtained from enzyme databases such asBRENDA or can be determined experimentally One should keep inmind that most kinetic constants deposited in databases are not stan-dardized and also measured in in vitro which might be a limiting factorwhen such data are applied to kinetic modelling in living systems (Costaet al 2011) Computational tools such as COPASI or E-Cell are used toassemble the pathway model in the form of kinetic and differentialequations and to simulate reaction time courses for various conditions(Mendes et al 2009 Takahashi et al 2003) Kinetic models of wholemetabolic networks are the holy grail of metabolic engineering buttheir application in strain design is limited by factors such as un-reliability of parameters non-universality of rate laws need to imple-ment regulatory events or extremely high demand on computationalpower (Chowdhury et al 2015) In contrast the use of kinetic mod-elling to engineer individual metabolic pathways or simpler in vitro-assembled networks is currently more feasible (Muschiol et al 2015)

Recent studies by Dvorak Kurumbang and colleagues are notableexample of kinetic modelling applied in engineering of synthetic bio-degradation pathways (Dvorak et al 2014b Kurumbang et al 2014)As a model these studies centered on detoxification of the industrialwaste compound and water pollutant TCP to glycerol - reaction cata-lysed by the haloalkane dehalogenase DhaA from Rhodococcus rhodo-chrous NCIMB 13064 and the haloalcohol dehalogenase HheC and theepoxide hydrolase EchA from Agrobacterium radiobacter AD1 (Bosmaet al 1999) In vitro steady-state kinetic data obtained for HheC EchAand three variants of DhaA were utilized to develop a kinetic model ofthe reaction that proved useful for revealing major bottlenecks in thepathway that is (i) low activity of wild-type DhaA on TCP and (ii)unbalanced enantioselectivity and enantiospecificity of the first and thesecond enzyme in the route DhaA and HheC respectively (Dvoraket al 2014b) Modelling was further applied to predict optimal enzymestoichiometry and fine-tuning overall pathway efficiency both in invitro conditions and in the heterologous microbial host E coli In E colithe pathway was established as a modular tunable system (Kurumbanget al 2014) Absolute amounts of pathway enzymes in the cell copynumbers of used plasmid vectors and toxicity levels of pathway sub-strate and intermediates were included in the mathematical model asadditional parameters Variants of the pathway predicted to promotebetter host survival in a medium with toxic TCP were verified ex-perimentally The observed precise matching between calculated andexperimental data confirmed the performance of the pathway in E coliand stressed the power of kinetic modelling when reliable parametersare available Finally the kinetic parameters of an optimal DhaA var-iant that would ensure sufficient TCP conversion to glycerol as well ashost cell growth on the toxic substrate were both predicted by mathe-matical modelling

This study shows that for engineering and implanting heterologouspathways complete knowledge of the host cell metabolic background isnot a must and a reliable strain design can be achieved with a relativelysimple mathematical model (Dvorak et al 2014b) Even so similarstudies that combine theoretical and experimental approaches in thedesign of pathways and strains for biodegradation are still rare Mostrecent work in the biodegradation field is restricted to application ofpurely experimental techniques from a repertoire of metabolic en-gineering discussed in the following section

232 Experimental tools for pathway and strain optimizationOnce the bottleneck reaction steps are identified and a solution is

proposed experimental techniques are applied to target the appropriategenes or regulatory mechanisms Engineering is traditionally conductedat the level of gene expression which affects the quantity of proteinGenes in native or synthetic pathways are usually overexpressed byintroducing plasmid vectors with extra copies of desired coding se-quences One popular approach also used for modular assembly of the

P Dvořaacutek et al Biotechnology Advances 35 (2017) 845ndash866

852

TCP biodegradation pathway described above is to combine NovagenDuet plasmid vectors (Merck Millipore Germany) or derivatives such asePathBrick vectors which carry compatible replication origins andantibiotic markers (Kurumbang et al 2014 Tolia and Joshua-Tor2006 Xu et al 2012) This system allows effective propagation andmaintenance of up to four plasmids in a single E coli BL21 cell withλDE3 lysogen and modular assembly of multi-gene pathways SEVA(Standard European Vector Architecture) plasmids with standardizedarchitecture and nomenclature are an alternative modular vectorsystem tailored to allow cloning or expression of heterologous genes inP putida E coli and other Gram-negative bacteria with no specificneed for strain pretreatment (Martiacutenez-Garciacutea et al 2015) Up to fourplasmids each with one of the six available antibiotic markers (ampi-cillin kanamycin cloramphenicol streptomycin tetracycline genta-micin) four independent replication origins (RK2 pBBR1 pRO1600ColE1 RSF1010) and diverse cargoes can be combined in a single hostcell to fulfill the users needs A rich collection of constructs is alreadyfreely available (httpsevacnbcsices)

A set of compatible SEVA plasmids was used for instance in a studyof Nikel and de Lorenzo (2013) who described extrication of P putidaKT2440 from its strictly aerobic nature which prevents its use in in-dustrial anaerobic fermentors and certain bioremediation applications(Nikel and de Lorenzo 2013) Two scenarios were considered to ex-plain the inability of P putida to grow in anoxic conditions (i) un-balanced energy charge due to limited activity of the respiratory chainand (ii) lack of appropriate pathways for anoxic NADH re-oxidationThis two-fold problem was tackled by recruiting the pyruvate dec-arboxylase (pdc) and alcohol dehydrogenase II (adhB) genes from theanaerobe Zymomonas mobilis and the acetate kinase (ackA) gene fromthe facultative aerobe E coli to manipulate energy generation andredox balance in anoxic conditions To evaluate the potential of therecombinant host for anoxic biotransformations the authors used it as ahost for the haloalkane dehalogenase genes from P pavonaceae strain170 The resulting recombinant which bore two synthetic operons oncompatible plasmids pSEVA234 and pSEVA428 not only survived inanoxic conditions but also degraded the environmental pollutant 13-dichloropropene These results highlight the possibility of harnessingthe full potential of P putida KT2440 as a robust biocatalyst by precisecontrol of its energy and redox metabolism

Despite the widespread use of recombinant plasmids in proof-of-concept studies metabolic engineers must bear in mind that the in-troduction and massive expression of heterologous genes can affect hostfitness due either to additional metabolic load or to depletion of es-sential cofactors in redox reactions (Dvorak et al 2015 Glick 1995Wu et al 2016) This is even more important in the design of robustbacterial degraders that must cope with a spectrum of toxic substratesandor pathway intermediates and might need an additional energycharge and reducing cofators to cope with oxidative stress (Dvoraket al 2015 Nikel et al 2013) By-passing such difficulties is possibleby tuning inducer concentration applying lower-copy-number plasmidswith weaker promoters or by enzyme-mediated co-factor recyclingthrough overexpression of NAD+ kinase transhydrogenases or dehy-drogenases (Dvorak et al 2015 Nikel et al 2016b)

As an alternative expression of heterologous genes directly from thehost chromosome can be beneficial for greater stability of the desiredgenotypephenotype and improved host viability (Martiacutenez-Garciacuteaet al 2014a Santos and Yoshikuni 2014 St-Pierre et al 2013 Zobelet al 2015) Homologous recombination and site-specific or randomtransposition-based techniques have been developed to enable chro-mosomal insertion of single genes gene clusters or whole syntheticoperons or knockouts of genes that encode competing metabolicpathways (Loeschcke et al 2013 Martiacutenez-Garciacutea et al 2014a Santosand Yoshikuni 2014 St-Pierre et al 2013 Zobel et al 2015)

In a study by Samin and co-workers a mutant variant of haloalkanedehalogenase DhaA was introduced into the chromosome of 23-di-chloro-1-propanol-degrading P putida MC4 under the control of a

strong constitutive promoter using the Tn5 transposon-based deliveryvector (Samin et al 2014) Although the complete mineralizationpathway in strain MC4 is not yet fully understood the recombinantPseudomonas was the first microorganism shown to grow aerobically onTCP both in shaken flasks and in packed-bed reactor in continuous-flow conditions Mini-transposon systems have also been used suc-cessfully for chromosomal integration of the whole catabolic cluster asin the study by Wittich and Wolf who transplanted 11 genes from threedistinct bacteria into Cupriavidus necator H850 giving rise to the firstdesigner bacterium to show aerobic growth on a wide range of PCBincluding the two commercial pesticides Aroclor 1221 and Aroclor1232 (Wittich and Wolff 2007)

Gene expression balancing is undoubtedly a powerful metabolic en-gineering concept In addition to the approaches mentioned above forrather rough manipulation of gene expression numerous techniques forfine-tuning expression have been developed in recent years Surgicalcuts including computationally designed ribosome binding sites refinedarchitecture of the whole expression cassette mutagenesis of promoterregions tailored stability of mRNA molecules or altered gene order inthe operon were proven useful for optimizing bisynthetic pathways(Boyle and Silver 2012) In several cases expression adjustment was alsoconsidered in biodegradation pathway design de la Pentildea Mattozzi andco-workers achieved more rapid paraoxon hydrolysis in a recombinantP putida strain by altering the order of three genes in the operon forenzymes that convert one of the initial pathway intermediates (de laPentildea Mattozzi et al 2006) Expression of the dszB gene which encodes2-hydroxybiphenyl-2-sulfinate sulfinolyase the last rate-limiting enzymein the dibenzothiophene biodesulfurization pathway was improved byrearranging gene order and removing the overlapping structure in the dszoperon (Li et al 2007) Nonetheless especially in cases of syntheticmetabolic pathways composed of biocatalysts from diverse organismsthe activity selectivity stability or inhibition bottlenecks of individualenzymes can be too far-reaching to be solved by tuning expression of thecorresponding genes Moreover overexpression of endogenous or exo-genous genes often results in a metabolic burden and lower host viabilitydue to overconsumption of metabolic precursors (amino acids rRNAATP reducing cofactors) to fuel the synthesis of non-essential proteins(Glick 1995 Wu et al 2016) Protein engineering of bottleneck en-zymes then becomes a more reasonable approach

233 Protein engineering to eliminate bottlenecks of biodegradationpathways

Over the last two decades three distinct strategies were developed toallow the construction and identification of mutant enzymes with de-sirable properties (Bornscheuer et al 2012) The earliest approach ra-tional design exploits various computational techniques such as mole-cular docking homology modelling and molecular dynamics simulationstogether with site-directed mutagenesis protocols to generate targetedmutations that result in single or several modified variants of an enzyme(Damborsky and Brezovsky 2014) In contrast directed evolution usesrandom mutagenesis methods and is beneficial especially in cases whenneither the structure nor the catalytic mechanism of the enzyme isavailable (Brakmann 2001) Random methods of directed evolution arecombined with elements of rational enzyme modification to bypasscertain limitations of both approaches This focused directed evolutionapproach targets several specific residues or certain protein regions se-lected on the basis of prior structural and functional knowledge(Bornscheuer et al 2012) Mutation hot spots are chosen experimentallyand on a much larger scale computationally using powerful new al-gorithms and statistical tools such as HotSpot Wizzard or 3DM tool(Bendl et al 2016 Damborsky and Brezovsky 2014 Kuipers et al2010) A clear trend in recent years is the introduction of protein en-gineering into the metabolic engineering workflow

The activities of many enzymes that act on anthropogenic com-pounds are derived from promiscuous activities that are generally veryinefficient (Khersonsky and Tawfik 2010) In such cases protein

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engineering is the only possible solution Numerous reports from thefirst decade of the 2000s describe application of common protein en-gineering methods such as error-prone PCR DNA shuffling site-di-rected or saturation mutagenesis for engineering activity or selectivityof individual catabolic enzymes to halogenated hydrocarbons (Paralesand Ditty 2005 Wittich et al 2010) Recently the new challenge ofaccumulating plastic waste has attracted the attention of protein en-gineers who try to enhance the activities of certain bacterial or fungalenzymes such as esterases lipases or polyster hydrolases to syntheticpolymers including polyethylene terephthalate (PET) or polyurethanes(Wierckx et al 2015) For instance Wei and colleagues applied acomparison of crystal structures and molecular docking combined withside-directed mutagenesis to improve the activity of cutinase TfCut2from Thermobifida fusca KW3 towards PET at elevated temperaturesthat promote degradation of this oil-derived plastic (Wei et al 2016)Subsequent kinetic and in silico energetic analyses confirmed that theimprovement in PET hydrolysis was the result of a relief of productinhibition caused by single point mutation in the enzymes surface-ex-posed active site New unique PETase and MHETase shown to helpbacterium Indonella sakaiensis to depolymerize and utilize PET arepromissing candidates for protein and metabolic engineering exercisesthat might lead to biotechnological recycling of the polymer(Bornscheuer 2016 Yoshida et al 2016a) Alas such a promise is notdevoid of controversy about the very enzymes that could do the job(Yang et al 2016 Yoshida et al 2016b)

The studies reporting the implantation of constructed mutants in thecontext of the whole biodegradative pathway are nonetheless ratherrare Iwakiri and co-workers successfully applied Alcaligenes sp KF711harbouring engineered monooxygenase P450CAM for the dehalogena-tion of pentachloroethane to trichloroethane in anoxic conditions(Iwakiri et al 2004) In another study promiscuous toluene ortho-monooxygenase and epoxide hydrolase were engineered using DNA-shuffling and saturation mutagenesis the use of mutant genes allowedmore rapid aerobic degradation of chlorinated ethenes with less ac-cumulation of stress-inducing intermediates in recombinant E colibearing the synthetic pathway (Lee et al 2006 Rui et al 2004)

Mutants of DhaA the enzyme that initiates dehalogenation of TCPwere used in three of the previously mentioned studies that focused onTCP pathway engineering (Dvorak et al 2014b Kurumbang et al 2014Samin et al 2014) The DhaA31 variant with 29-fold improved catalyticefficiency towards the chlorinated substrate was prepared by combiningmolecular dynamics simulations of product release from the buried ac-tive site with site-directed and saturation mutagenesis in selected hotspots (Pavlova et al 2009) Another promising mutant with the potentialto remove the second serious bottleneck in the synthetic TCPpathwaymdashenantioselectivity of DhaA and high enantiospecificity ofHheCmdashoriginated from the work of van Leeuwen et al (2012) Theauthors targeted DhaA31 to obtain variants that convert TCP pre-dominantly into (R)-DCP which can be further converted by HheC at amuch higher rate than the (S)-enantiomer Five rounds of focused di-rected evolution using saturation mutagenesis with restricted codon setsprovided mutant DhaA r5-90R with 13 new amino acid substitutions andsubstantially improved (R)-selectivity Mutagenesis nevertheless affectedthe activity with TCP which dropped to wild-type DhaA levels themutant was later shown in in vitro and in vivo studies to be of no value forfurther improvement of TCP pathway efficiency (Dvorak et al 2014bKurumbang et al 2014) Additional engineering input is thus needed toobtain DhaA variants with improved activity and modified enantios-electivity that would promote smooth flux through the syntheticpathway (Fig 4) and allow growth of bacterial recombinants in minimalmedium with the toxic substrate (Kurumbang et al 2014)

It will be necessary to accelerate the processes of laboratory evo-lution and screening of new enzymes with enhanced properties inmutant and metagenomic libraries to make protein engineering ofgreater value in optimizing natural and synthetic catabolic pathways(Bouhajja et al 2016) Selection couples an improved enzyme property

with host survival which allows evengt 109 clonesenzyme variants tobe tested in a reasonable time New selection assays based on toxicsubstrate conversions into a harmless utilizable metabolite coupledwith fluorescence-activated sorting of surviving cells could for ex-ample be applied for the enrichment of new dehalogenase variantsfrom libraries prepared by directed evolution or a semi-rational ap-proach (Fernaacutendez-Aacutelvaro et al 2011 Fibinger et al 2015) Severalrecent studies presented workflows for high-throughput screening andcharacterization of improved enzyme variants or novel enzyme activ-ities These test schemes are based on (i) bioinformatic pre-screeningcombined with high-throughput experimental characterization of can-didate proteins (Bastard et al 2014) (ii) completely automated roboticplatforms manipulating clones growing in microtitre plates (Doumlrr et al2016) (iii) microcapillary arrays coupled with fluorescent assays andlaser extraction for recovery of live clones (Chen et al 2016) or (iv)single-cell sorting based on a fluorescent signal from clones with animplemented synthetic genetic circuit responding to a specific meta-bolite (Choi et al 2014) In silico screening of molecules that fit theactive site cavity of an available enzyme structure or reverse screeningof enzymes that can accommodate target substrate could supplementexperimental methods and reduce the time needed for discovery of newbiocatalysts for recalcitrant chemicals Indeed the potential of in silicoscreening methods was demonstrated when investigating cytochromeP450-mediated metabolism of xenobiotics (Raunio et al 2015) In arecent study by Aukema and colleagues docking and molecular dy-namics simulations allowed selection of biphenyl dioxygenase fromParaburkholderia xenovorans LB400 as the best candidate enzyme formetabolizing carbamazepine one of the most commonly identified re-calcitrant pharmaceuticals in rivers (Aukema et al 2016) The ex-perimentally verified rate of carbamazepine degradation by P xeno-vorans cells was 40-times greater than the best reported rates so far

As shown in the preceding sections the available toolbox of systemsbiology metabolic engineering and protein engineering applicable forre-factoring microbes and their catabolic pathways towards more effi-cient biodegradation of waste chemicals and recalcitrant pollutants isbecoming inordinately large Even so the defined workflows standardsand universally applicable principles for strain optimization were longmissing in the field of metabolic engineering despite which the aim toengineer living systems on a rational basis remained prevalent in thecommunity This goal led metabolic engineers to adopt standards andstrategies from another closely related field of synthetic biology thatwas established primarily to program living systems with a high pre-dictability

3 Synthetic biology approaches and tools for biodegradationpathway engineering

The principal underlying thought in synthetic biology is that anyliving system can be considered a set of separate usable componentsthat can be combined by the means of biological engineering in newarrangements to alter existing features or generate new ones (deLorenzo and Danchin 2008) Such biological engineering can be sim-plified by applying principles adopted from electronic engineering andcomputer science to produce predictable robust systems (genetic con-trol systems metabolic pathways chromosomes and whole cells) withnon-natural functions (Paddon and Keasling 2014) This would beachieved through the fabrication of thoroughly characterized stan-dardized recyclable parts From its very beginnings synthetic biologyhas been confronted with the need to define its practice precisely and todevelop clear generally applicable strategies as this was the only wayto guarantee and implement engineering principles in a field as sto-chastic as biology With its tools standards and the DBTA cyclestrategy synthetic biology has contributed as has no other scientificdiscipline to rationalize metabolic engineering Its bottom-up ap-proaches and synthetic devices are being implemented to make morerobust better controllable microbial cell factories Synthetic biology

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can and to some extent already contributes the same service with itsnew concepts to the fields of biodegradation and bioremediation In thethe Section 3 we will discuss examples of beneficial inclusion of syn-thetic biology into strategies for engineering pathways and whole cellsfor biodegradation of waste and polluting chemicals and perspectivesfor these initiatives

31 Development of robust microbial chassis for biodegradation of toxicchemicals

Genetic instability and negatively affected fitness are frequentlyencountered drawbacks of the native microbial hosts tailored by me-tabolic engineering for specific biodegradation purposes Syntheticbiology offers possible solutions for these problems by implementingDNA synthesis and genome editing strategies Both curiosity and pro-spective practical applications drive synthetic biologists to generatemicrobial cells with deleted parts of their genomes that encode re-dundant cryptic or even deleterious functions Such cells endowedwith a reduced genome as foundation to house and support hetero-logous genetic parts are collectively known as chassis (Adams 2016)An extreme case of a chassis is the so-called minimal cell (Glass et al2006) Chassis can be prepared by de novo synthesis of a reduced targetgenome and its implantation into a suitable cell envelope or throughsystematic deletions of non-essential genes in the genomes of an ex-isting natural host Microarray-based oligonucleotide synthesis is cur-rently used to provide a substrate (usually 5ndash50 oligos) for constructionof larger (usually 200ndash3000 bp) synthetic fragments (Kosuri andChurch 2014) Scarless methods including the popular Gibson as-sembly uracil assembly Golden Gate technology ligase cycling reac-tion or yeast recombination are used to combine sequence-verifiedgene-length fragments in even larger complexes (Casini et al 2015)DNA synthesis also allows preparation of standardized genetic parts(promoters ribosome binding sites genes terminators and so on) withverified codon-optimized sequences Despite breakthroughs in genesynthesis and DNA assembly methods this last approach for chassisconstruction seems far more feasible at the moment considering thelesser demand of chromosome editing experiments the constantly ex-panding portfolio of genetic tools and the growing list of micro-organisms with intentionally reduced genomes (Martiacutenez-Garciacutea and de

Lorenzo 2016 Si et al 2015)Discarding non-essential cell functions shows considerable potential

not only for biosynthetic purposes (Hutchison et al 2016) but also fordesigner biodegradation and bioremediation A recent report on thesystematic deletion of 11 non-adjacent genomic regions in P putidaKT2440 (Fig 5) is a unique example of genome streamlining in apopular bacterial host with well-defined biodegradation capabilities(Martiacutenez-Garciacutea et al 2014b) In all 300 genes were eliminated thatis 43 of the entire KT2440 strain genome using the scar-less deletionprocedure based on homologous recombination after in vivo DNAcleavage by the homing Saccharomyces cerevisiae nuclease I-SceI(Martiacutenez-Garciacutea and de Lorenzo 2012) A suite of functions was tar-geted including the complete flagellar machinery whose assembly andfunction drains ATP from the cells and consumes NAD(P)H Four pro-phages two transposons and three components of DNA restriction-modification systems were also eliminated to minimize genetic in-stability The resulting strains designated P putida EM42 and EM383(the latter lacks the recA gene that encodes recombinase A) showedclearly superior growth properties and improved overall physiologicalvigour compared to wild-type KT2440 Moreover due to the higherNADPHNADP+ ratio the reduced-genome strains also better toleratedendogenous oxidative stress a property that provides a crucial ad-vantage for catalysing harsh biodegradation reactions such as aerobicdehalogenation of chlorinated pollutants (Nikel et al 2013)

Despite their reliability and robustness the procedures based onthese genome editing tools are time- and labour-intensive and re-stricted to a limited number of model microorganisms This problem isnow being challenged by new protocols that profit from the type IIbacterial Clustered Regularly Interspaced Short Palindromic Repeats(CRISPR) and CRISPR-associated protein (Cas) Multiple AutomatedGenome Editing (MAGE) and combinations thereof (Barrangou andvan Pijkeren 2016 Wang et al 2009) Nonetheless these technologiesalso suffer from some weaknesses such as generation of numerous off-target mutations The off-target problem of the CRISPR-Cas system wasrecently mitigated by engineering high-fidelity Cas9 nucleases(Kleinstiver et al 2016) In a similar manner the number of off-targetmutations during MAGE was reduced substantially when temperature-sensitive control of the endogenous methyl-directed mismatch repairsystem was introduced into the E coli host together with a dominant

Fig 4 Hypersurface plot describing the effect of catalytic efficiency (kcatKm) and enantioselectivity (E-value) of haloalkane dehalogenase DhaA on the production of glycerol in the TCPpathway The hypersurface was calculated using the mathematical model of the TCP pathway (Dvorak et al 2014b) using the constraints of Kurumbang and co-workers (Kurumbanget al 2014) Positions of four DhaA variants DhaAwt (wild type kcatKm = 70 Mminus1 sminus1 E-value = 1) DhaA r5-90R (kcatKm = 20 Mminus1 sminus1 E-value = 10) DhaA31 (kcatKm = 600 Mminus1 sminus1 E-value = 1) and hypothetical DhaAXX (kcatKm = 700 Mminus1 sminus1 E-value = 10) are indicated by red dots Note that the majority of mutations (orange spheres)introduced into DhaA r5-90R and DhaA31 are adjacent to the active site (red spheres) and to the access tunnels (in green) Hypothetical enzyme DhaAXX with 10-fold improved catalyticefficiency and 10-fold improved enantioselectivity compared to DhaAwt would enable production of 1 mM glycerol (red line) from 2 mM TCP in the culture of recombinant E coliBL21(DE3) within 24 h time interval Such glycerol concentration will be sufficient to support the cell growth Figure was adopted and modified from (Kurumbang et al 2014) (Forinterpretation of the references to colour in this figure legend the reader is referred to the web version of this article)

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negative mutator allele of the E coli mismatch repair protein MutL(Nyerges et al 2016) By placing this highly conserved allele togetherwith λ Red recombinase genes and a temperature-sensitive λ repressoron a single broad-host range plasmid Nyerges and co-workers provideda simplified MAGE variant (pORTMAGE) that allowed genome editingand mutant library generation in several biotechnologically and clini-cally relevant bacterial species with no need for prior modifications ofparental strains The recent discovery of the Ssr protein from P putidaDOT-T1E a functional homologue of the β protein of the λ Red re-combination system paved the way for oligonucleotide-mediatedmultiplex genome engineering in pseudomonads including P putidaKT2440 and its derived platform strains EM42 and EM383 (Aparicioet al 2016) Continuing facilitated reduction of their genomes (dele-tions of multiple repetitive sequences or certain proteases) and genomesof other relevant bacterial hosts will provide more reliable robustchassis for biodegradation pathway engineering

32 Development of synthetic microbial consortia for enhancedbiodegradation and bioremediation of pollutants

An alternative strategy that allows for the emergence of more robustmicrobe-based bioprocesses is just the opposite of the systematic de-velopment of bacterial chassis based on individual wild-type strainsNatural microbial consortia perform complicated biocatalytic taskssuch as lignocellulose degradation wastewater purification or in-testinal food digestion By dividing the labour and metabolic burdenthe consortium members become more flexible when facing complexenvironmental conditions Distribution of catabolic capacity amongcells of a single organism among different bacterial strains or evenamong species from different kingdoms is pivotal this is especially truefor biodegradation of complex toxic chemicals which encompassesmany steps and harmful intermediates with diverse physicochemicalproperties The idea of exploiting consortia for directed biodegradationof polluting compounds and bioremediation of contaminated sites thuslies ready to hand

Application of natural microbial consortia has already shown pro-mise for bioremediation of sites polluted with anthropogenic pesticidessuch as diclofop methyl or atrazine (Baghapour et al 2013 Wolfaardtet al 1994) Together with the new field of synthetic biology attemptsare being made to modify the structure of original natural consortia ordevelop completely new artificial organizations of co-operating mi-croorganisms For example co-culture of engineered E coli SD2 and Pputida KT2440 was used successfully to mineralize the insecticideparathion in shaken flasks and in biofilm culture (Gilbert et al 2003)In another study complete mineralization of 246-tribromophenol aflame-retardant intermediate and pesticide was achieved using an

artificial anaerobe consortium of reductive debrominator Dehalobactersp FTH1 a hydrogen supplier Clostridium sp Ma13 and the 4-chor-ophenol-degrading strain Desulfatiglans parachlorophenolica DS (Li et al2015) Recently Martiacutenez and co-workers introduced an attractive al-ternative strategy for engineering the 4S pathway (Fig 6A) a para-digmatic bioprocess for removal of the recalcitrant sulphur from aro-matic heterocycles in fuels (Martiacutenez et al 2016) The pathwayencoded by dszABCD genes converts the model compound di-benzothiophene (DBT) into sulphur-free 2-hydroxybiphenyl (2HBP)The authors initially synthesized and re-arranged the original genes andoptimized transcriptional and translational signals for P putida KT2440By dividing the pathway into three separate modules expressed in-dividually they were able to define previously unreported bottlenecksin the pathway that is the inhibitory effect of intermediate 2HBP-sulfinate (HBPS) on DszA and DszC monooxygenases and HBPS leakageinto the culture medium from which it could not be transported backinto the cells for further processing To prevent HBPS accumulationtwo P putida strains bearing dszC1-D1 or dszB1A1-D1 modules weremixed as a suspension of resting cells When the strains were combinedat a 14 ratio and added with cell-free extract containing extra DszBalmost 100 of DBT was transformed into 2HBP in assay conditions

Considerable attention is currently being dedicated to developingstrategies for biodegradation of oil and oil-derived chemicals Patowaryand co-workers designed a potent microbial consortium for prospectivedecontamination of sites exposed to polycyclic aromatic hydrocarbonsfrom crude oil (Patowary et al 2016) The authors first inspected thebiodegradative capacity for total petroleum hydrocarbons of 23 bac-terial isolates from petroleum-contaminated soils and subsequentlydesigned 14 artificial consortia based on the five most efficient isolatesThe best designer consortium comprised of two biosurfactant-produ-cing hydrocarbon-degrading strains of Bacillus pumilus and B cereusshowed up to 84 degradation of total petroleum hydrocarbons afterfive weeks as verified by gravimetric FTIR and GCMS analyses Ap-plication of natural or re-designed bacteria and their consortia alsoholds considerable promise for decomposition of oil-derived plasticwaste (Skariyachan et al 2016 Yoshida et al 2016a 2016b)

New tricks for more efficient biodegradation strategies could beadopted from inspiring current research on synthetic consortia designedto decompose and valorize lignocellulosic biomass (Minty et al 2013)Tozakidis and co-workers reported application of an engineered con-sortium of three P putida strains displaying thermophilic en-doglucanase exoglucanase or β-glucosidase for concerted hydrolysis ofcellulose at elevated temperatures (Tozakidis et al 2016) Some studiesdescribe surface display of whole designer cellulosomes ndash syntheticenzymatic nanomachines whose natural counterparts are produced bycertain cellulolytic bacteria that exploit clustered surface-attached

Fig 5 Engineered Pseudomonas putida KT2440 as a newrobust chassis for biodegradation and bioremediationMartiacutenez-Garciacutea and colleagues used in-house genomeediting tools to streamline the chromosome of Pseudomonasputida KT2440 (Martiacutenez-Garciacutea et al 2014b) Deletion of43 of the original genome gave rise to the new platformstrains EM42 and EM383 whose advantageous propertiesmake them useful chassis for engineering biodegradationpathways and other applications

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cellulases for efficient depolymerization of cellulose and hemicellulose(S Kim et al 2013 Moraiumls et al 2014) The vast majority of the workthat exploits surface display systems for whole-cell removal of en-vironmental contaminants has been restricted to individual proteinssuch as laccases methyl parathion hydrolase or triphenylmethane re-ductase (Gao et al 2014 Liu et al 2016 Yang et al 2012) It istempting to expand available surface display technologies with cellu-losome parts for the design of synthetic consortia that would catalysemore complex biodegradation reactions including polymeric substratesor toxic metabolites outside the cells

Despite their true biotechnological potential microbial consortiaremain too complex for directed long-term application either for bio-synthesis or for biodegradation It is still difficult to engineer home-ostasis and evolutionary stability in an artificial multi-cellular systemwhose behaviour becomes unpredictable with time (Escalante et al2015) Attempts to adopt principles of intercellular communication forsynthetic consortia are just at their beginnings (Hennig et al 2015Scott and Hasty 2016) Intensive co-operation of genetic engineers andevolutionary biologists with microbial ecologists and chemists willobviously be needed to derive a deeper understanding of the processesthat rule the formation and survival of natural microbial consortiaLessons learnt from nature can be implemented and combined withcompletely anthropogenic orthogonal genetic devices for more reliabledesign of stable multicellular systems

33 Development of orthogonal systems in bacteria to enhance pollutantbiodegradation and bioremediation

Orthogonal or in other words parallel independent systems1 is a key

concept in synthetic biology as long as such quality makes live systemsmore amenable to bona fide engineering Orthogonalization involveseg use of unnatural genetic codes (for example quadruplet rather thantriplet) alternative transcription-translation machineries toggleswitches and genetic circuits for assembly of novel metabolic andsignalling pathways from proteins containing non-natural amino acids(An and Chin 2009 Wang et al 2012) Such metabolic pathways couldhave new functions and would synthesize or catabolize a fresh spectrumof compounds Ideally orthogonal pathwaysmodules interact mini-mally with their natural counterparts in the host cell This improvespredictability of the component behaviour and prevents inhibitorycross-talk following introduction of the pathway or circuit into an ex-isting metabolic network (Kim and Copley 2012 Kurumbang et al2014) In an orthogonal module the input and output molecules ofgenetic circuitsmdashor enzymes and metabolites of synthetic biochemicalroutesmdashare not degraded or inactivated by side-reactions or physico-chemical conditions of the host cell While complete orthogonality isvirtually impossible in biological systems a practicable level of context-independence is indeed feasible Some examples of claimed orthogonalsystems include simple synthetic genetic circuits switches or designedmetabolic pathways These have the potential to improve function ofindividual engineered bacteria or synthetic consortia as whole-cellbiosensors and degraders of recalcitrant chemicals

Sensitivity robustness and applicability of microbial biosensors fordetecting heavy metals or halogenated hydrocarbons can be greatlyimproved by implementing orthogonal genetic devices (Bereza-Malcolm et al 2015) Thus far simple microbial biosensor designsbased on one input and two-part regulatory systems with promoter andreporter providing a coloured fluorescent bioluminescent or electricsignal prevail in the literature (Ravikumar et al 2017) Reports onmore complex multi-input systems based on Boolean logic gates are stillrare but give us a clue to future developments in the field As firstoutlined by the work of Wang et al (2016) orthogonally acting multi-

Fig 6 Examples of synthetic biology approaches applied toengineering biodegradation pathways and whole-cell de-graders (a) Martiacutenez and co-workers divided the 4Spathway for sulphur removal from aromatic heterocyclesinto two modules (dszC1-D1 and dszB1A1-D1) that wereexpressed individually in two P putida KT2440 strains toform a synthetic consortium (Martiacutenez et al 2016) Com-bining the strains at a 14 ratio and mixing them with cell-free extract from the third strain producing DszB resulted inalmost complete conversion of dibenzothiophene into sul-phur-free 2-hydroxybiphenyl in assay conditions (b) Wanget al constructed a synthetic bacterial consortium in whicheach of the two E coli strains functioned as a double inputsensor with synthetic AND gates for detecting arsenicmercury and copper ions and quorum sensing molecules(3OC6HSL Wang et al 2013) Strain 2 generated redfluorescence only in the presence of all three metal ions inculture (c) Benedetti and colleagues achieved directedtransition between planktonic and biofilm lifestyles of Pputida KT2440 by controlling cyclic di-GMP levels with anorthogonal genetic device composed of the yedQ diguany-late cyclase gene from E coli under the control of the cy-clohexanone-responsive ChnRPchnB regulatory node fromAcinetobacter johnsonii (Benedetti et al 2016) Designedcells with a synthetic operon for 1-chlorobutane biode-gradation formed inducible biofilms with higher dehalo-genase activity than free planktonic bacteria (d) Dvorakand co-workers assembled the first in vitro synthetic biode-gradation pathway for 123-trichloropropane (TCP) bycombining engineered haloalkane dehalogenase DhaA31halohydrin dehalogenase HheC and epoxide hydrolaseEchA immobilized in cross-linked enzyme aggregates(CLEAS) and polyvinyl alcohol particles (LentiKats) (Dvoraket al 2014a) The immobilized pathway converted highconcentrations of toxic TCP into glycerol in contaminatedwater for more than two months of continuous operation in

a bench-top packed bed reactor (For interpretation of the references to colour in this figure legend the reader is referred to the web version of this article)

1 The mathematical and geometrical concept of orthogonality has been adopted first bycomputing science and then by synthetic biology to signify operative independenceSystem A is orthogonal to system B if A does not influence Bmdashand vice versa

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inputmulti-output logic gates will be especially valuable for detectingmixtures of polluting chemicals (organic inorganic or both) by pro-viding a specific signal for each of the constituents (He et al 2016Wang et al 2011) Developing such biosensors is of practical im-portance as polluted environments are usually burdened with nu-merous contaminants that have diverse physicochemical propertiesThe authors engineered a set of two-input E coli-based biosensors withsynthetic AND gates using signalling sensory modules from native two-component signal transduction pathways as well as hrpR and hrpSgenes along with their HrpL promoter element from P syringae Usingthese sensors they detected arsenic mercury copper and zinc ions aswell as quorum sensing molecules in aqueous environment (Wang et al2011) The most advanced design resulted in a triple-input AND logic-gated biosensor that formed a synthetic bacterial consortium in whicheach of the two members acted as a double input sensor (Fig 6B) In thepresence of arsenic and mercury the first strain formed a quorumsensing molecule (3OC6HSL) that diffused freely into the medium andwas sensed together with Cu2+ by the second strain which provided ared fluorescent signal (Wang et al 2013) The fluorescent response wasseen only when all three metal ions were present in the culture

Reliable orthogonal devices will be crucial for engineering artificialcell-cell communication for instance taking advantage of bacterialquorum sensing systems (Hennig et al 2015 Scott and Hasty 2016)Programming the dynamics of subpopulations of synthetic consortiathat perform complex tasks will be only possible with parallel geneticcircuits and signalling molecules unknown to the host cells (Chen et al2015) As stressed by Silva-Rocha and de Lorenzo (2014) catabolicpathways for recalcitrant and xenobiotic compounds could be a reliablesource of wiring devices and molecules These pathways are frequentlyfound in specific types of organisms and metabolic crosstalk can thusbe avoided by implementing components of such networks in suitablehosts For instance aromatic molecules such as benzoate or phenol canbe used as signal inducers that are recognized by regulatory proteinsthat trigeger expression of target genes The recent determination of thecrystal structure of the sensory domain in the phenol-responsive tran-scription activator PoxR ilustrates how aromatics are sensed in bacteria(Patil et al 2016) This study paves the way for wider application ofrationally engineered transcription regulators responsive to aromaticsin the design of synthetic genetic circuits

The dynamic behaviour of the whole biodegradation pathway canalso be better studied when the route is transferred into a distant hostchassis where it acts orthogonally The orthogonal nature of the syn-thetic pathway for TCP biodegradation in the surrogate host E coliBL21 (DE3) described in Section 231 allowed a very good matchbetween in silico predicted and in vivo metabolite concentrations andprecise description of the bottlenecks (Kurumbang et al 2014) as wellas deciphering the contribution of metabolic burden and substratemetabolite toxicity to the fitness cost of TCP biotransformation bywhole-cell catalysts (Dvorak et al 2015) Despite their benefits for suchmechanistic and proof-of-concept studies laboratory E coli strainsmight not be optimally suited for the harsh conditions that accompanybiodegradation and bioremediation processes (Adams 2016 Nicolaouet al 2010) Development of reliable chassis amenable to implantationof orthogonal genetic devices is therefore desirable These new cellplatforms should be based on robust environmental strains of Pseudo-monas Rhodococcus Deinococcus and other microorganisms with broadmetabolic versatility and natural resistance to organic solvents or heavymetals (Adams 2016)

One can also take advantage of other specific properties of en-vironmental bacteria including formation of a robust biofilm As shownrecently by Benedetti and colleagues the actual physical forms ofwhole-cell biocatalysts can be mastered using orthogonal genetic parts(Fig 6C) through the so-called synthetic morphology approach (Benedettiet al 2016) Pseudomonads generate biofilms with biophysical prop-erties that depend on the species Cyclic di-GMP (c-di-GMP) is the keysignal molecule that rules the complex regulatory network mediating

the transition between planktonic cells and biofilm formation Thisfeature was exploited to design an orthogonal genetic device for ma-nipulating the native c-di-GMP biochemistry in P putida thereby con-trolling biofilm formation (Benedetti et al 2016) The E coli yedQ gene(encoding diguanylate cyclase the enzyme that synthesizes c-di-GMPfrom GTP) was placed under control of a tightly regulated cyclohex-anone-responsive expression system A synthetic operon encoding theenzymes needed for 1-chlorobutane biodegradation was also in-troduced in the engineered biofilm-forming P putida strain Upon ac-tivation of the corresponding genetic modules with appropriate in-ducers the resulting P putida biocatalyst displayed high dehalogenaseactivity in robust biofilms

The modern approaches of biological engineering accelerate thedevelopment of whole-cell biocatalysts for in situ bioremediation orbiosensing of emerging environmental pollutants Field applications ofgenetically modified microorganisms are nonetheless restricted bycurrent legislation and hindered by the unreliable behaviour of re-combinant microbes in complex fluctuating environments Syntheticbiology can help to tackle the major problems through the means de-scribed at the beginning of this chapter ie non-canonical geneticcodes and xenobiochemistry which can prevent diffusion of undesiredsequences into the environmental gene pool differentiate recombinantsfrom their natural counterparts and improve robustness and reliabilityof prepared genetic devices whole-cell degraders and biosensors Theexamples of such endeavours were recently reviewed extensively(Schmidt 2010 Schmidt and de Lorenzo 2016) These systems couldbe combined with bioluminiscence fluorescence or DNA watermarkingtechnologies to track the environmental fate of designer degraders orwith inducible suicide systems for discarding degraders once theirmission is completed (Liss et al 2012 Liu et al 2010 Paul et al2005) Yet the path to applied xenobiology is still crooked and manyethical questions remain Another concept from the portfolio of syn-thetic biology that will be discussed in the following section has thepotential to fill the time gap until we obtain reliable whole-cell catalystsand alternative solutions also acceptable for GMO critics will be pro-vided

34 Engineering microbial biodegradation pathways in vitro

The major principle of cell-free synthetic biology is that purifiedbiomolecules or components in crude cell extracts replace intact cellsfor constructing complex biomolecular systems (Hodgman and Jewett2012) To date metabolic networks that encompassgt 10 enzymeshave been reconstructed in vitro (Rollin et al 2015 Schwander et al2016) Cell-free metabolic pathways allow easy verification of bioca-talyst function determination of kinetic parameters as well as eva-luation of the network by kinetic modelling (Santacoloma et al 2011)Note however that assemby of degradative pathways in cell-free sys-tems (whether with purified enzymes or cell extracts) is not only toprototype and parametrize new routes but also for direct use in thefield (Karig 2017) Despite the drawbacks that cell-free systems cannotself-propagate that certain biomolecules can be sensitive to oxidizingenvironments and that their encapsulation and large-scale productionmight be costly these systems offer an appealing means to circumventproblems associated to GMO release to the environment Apart fromincreasing safety they offer other clear benefits For instance in vitrosystems can operate in the presence of toxins that would inhibit or killlive cells and metabolites regulators and enzymes can be produced inoptimized concentrations without interfering with cell componentsMost important for release and predictability the evolutionary oppor-tunities of such non-live agents are zero making the emergence ofunexpected properties virtually impossible

In vitro metabolic networks can suffer from suboptimal efficiencydue to the lower enzyme concentration compared to the extremelydense cell cytoplasm (Hodgman and Jewett 2012) This issue can bemitigated by enzyme immobilization and improved spatial organization

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858

via synthetic protein or DNA scaffolds that reduce diffusion of pathwayintermediates and promote substrate channeling (Siu et al 2015) Al-ternatively biocatalysts can be precipitated and covalently inter-connected in cross-linked enzyme aggregate particles (Sheldon 2011)this method was applied successfully to synthesize toxic nucleotideanalogues by an immobilized five-enzyme synthetic pathway (Scismand Bachmann 2010) The biochemical route described was completedwith functional ATP regeneration which demonstrates that in vitrotechnologies can cope with another possible drawback ndash limited co-factor recycling

Thus far mainly single immobilized enzymes or whole-cell bioca-talysts have been exploited in biotechnological processes intended toremove polluting chemicals such as polyethylene terephthalate 24-dinitrophenol atrazine or inorganic nitrates (Barth et al 2016Dehghanifard et al 2013 Mutlu et al 2015 Troumlgl et al 2012) In vitroassays with cell-free extracts or purified enzymes respectively helpedto identify an unknown anaerobic pathway for complete phthalatedegradation to CO2 in Thauera chlorobenzoica 3CB-1 or to decipher se-questration of the highly toxic intermediate tetrachlorobenzoquinone inpentachlorophenol degradation pathway in Sphingobium chlor-ophenolicum (Ebenau-Jehle et al 2017 Yadid et al 2013) Geuekeet al showed the benefits of an in vitro engineering approach in themodel of γ-HCH biodegradation pathway (Geueke et al 2013) Theyused a system of two purified enzymes the dehydrochlorinase LinA andthe haloalkane dehalogenase LinB which initiate biotransformation ofγ-HCH a prohibited insecticide They separately incubated five isomersthat form technical HCH (which used to be applied frequently instead ofpure γ-HCH) with various LinALinB ratios and determined metabolicprofiles of sequential biotransformations Analyses of these profileshelped determine the environmental fate of HCH isomers and showedthat the original HCH degradation pathway is optimized by evolutionfor γ-HCH but not for other isomers that co-pollute contaminated sites

The first report of in vitro assembly of a fully functional syntheticbiodegradation pathway was published by Dvorak and co-workers(Dvorak et al 2014a) The authors adopted the cell-free strategy usingimmobilized engineered haloalkane dehalogenase DhaA31 halohydrindehalogenase HheC and epoxide hydrolase EchA for TCP bio-transformation to harmless valuable glycerol in contaminated water(Fig 6D) The practical utility of bacterial recombinants that mineralizeTCP (desccribed in Sections 231 and 232) is limited by substratetoxicity and by legislative barriers on the application of GMO(Kurumbang et al 2014 Samin et al 2014) Probing the function ofthe pathway in in vitro conditions therefore lied ready to hand Theauthors successfully immobilized the pathway in the form of purifiedenzymes or cell-free extracts in cross-linked enzyme aggregates andlens-shaped polyvinyl alcohol particles The immobilized pathwayshowed almost the same efficiency of TCP-to-glycerol conversion asmixture of free enzymes Physicochemical properties of polyvinyl al-cohol lentils allowed recovery from the reaction mixture and recyclingof the pathway In addition the immobilized enzymes retainedgt 50of their initial activities for over 2 months of continuous operation in abench-top packed bed reactor The study indicated that the im-mobilized route removes TCP from heavily contaminated water with apollutant concentration (~1 gL) that would be detrimental to theliving degraders One can anticipate that such conversions of toxic TCPto useful glycerol could even pave the way for prospective valorizationof this waste chemical

Although this biotechnology requires further validation and tuningthe work showed that in vitro assembly of natural or synthetic enzy-matic pathways with engineered enzymes is a promising concept for thebiodegradation of polluting compounds and toxic industrial wasteproducts Transport of such pathways via non-live carriers is relatedconceptually to efforts to produce and release complex therapeuticagents for human use In both cases their application demands thedevelopment of a sort of environmental Galenic science that enablessupply of the engineered biological remedy when and where needed

4 Towards planet-wide bioremediation interventions CO2

capture as a large-scale challenge

Environmental deterioration due to emissions of recalcitrant che-micals seems to pale when compared to the problem of global warmingcaused by the release of greenhouse gases that originate in human ac-tivities The bulk of these gases comprise four natural molecules carbondioxide (CO2) methane (CH4) nitrous oxide (N2O) and ozone (O3) aswell as one class of xenobiotics the chlorofluorocarbons or CFC Giventhe diluted aereal and global nature of this problem the strategiescontemplated for tackling these chemical species differ considerablyfrom those that centre on site-specific pollution issues Most proposalsthus far focus much more on reducing emissions than on capture andreturning to innocuous chemical or mineral forms All these compoundshave their own natural biogeochemical cycle and in theory simplyreducing their input into the biosphere should restore the originalequilibrium (Rockstroumlm et al 2017) Recent ecological thought none-theless postulates that the impact of climate change in many ecosystemsis already irreversible by natural means and call for large-scale inter-ventions that could help to resolve this impasse (de Lorenzo et al2016) In this case what types of options could be considered from asystemic biology perspective

Some incipient attempts have appeared recently mostly in the fieldof engineering bacteria with a greater capacity for non-photosyntheticfixing of CO2 (Erb and Zarzycki 2016) One option is to use the sixalternative pathways of autotrophic carbon fixation known in nature(Fuchs 2011 Hicks et al 2017) as a starting point to optimize suchnatural processes Another possibilty is the invention of new routes byrewiring or modifying existing enzymes in a new configuration A re-markable example of this solution is the work of Antonovsky et al(2016) who showed that combining metabolic rewiring recombinantprotein expression and laboratory evolution enables the production ofsugars and other biomass constituents by a fully functional Calvin-Benson-Bassham (CBB) cycle in E coli In the bacteria designed in thisway carbon is fixed via a refactored CBB cycle whereas reducingpower and energy are derived from pyruvate oxidation (Fig 7) It isinteresting to note how evolutionary approaches adjust fluxes andgenerate connections between the designed CBB cycle and the hostbiochemical network that cannot be predicted or designed

A separate approach was recently developed by Schwander et al(2016) who developed a synthetic route for continuous CO2 fixation invitro by composing a cycle formed of 17 enzymes that convert CO2 intoorganic molecules The cycle was draughted by metabolic retro-synthesis with enzymes from nine organisms from three domains of lifefurther optimized through rounds of protein engineering and metabolicproofreading Although this completely designed pathway has not yetbeen implemented in vivo (eg in a bacterial carrier) it is a question oftime until it is done and propagated throughout an entire microbialcommunity (de Lorenzo et al 2016)

Finally todays systemic approaches enable the invention of en-zymes from scratch through de novo protein design followed by directedevolution which opens perspectives for improving the natural state ofaffairs regarding fixation of CO2 (and other greenhouse gases) as well asvalorization of this waste as biotechnological feedstocks (Huang et al2016 Renata et al 2015) A separate matter is the large-scale de-ployment of the microbial agents for CO2 retrieval Existing technologyallows their implementation in biofilters and bioreactors that captureemissions at source But how can we spread such desirable catalyticproperties at a very large even at planetary level to make a differenceSuch technologies are not yet availablemdashlet alone that they raise a largenumber of safety questions But they must necessarily be developed ifwe are not just to control greenhouse gas discharges but also aim attheir eventual reduction to pre-industrial levels (de Lorenzo et al2016)

Unfortunately greenhouse gases are not the only globally wide-spread molecules to be concerned about Much before global warming

P Dvořaacutek et al Biotechnology Advances 35 (2017) 845ndash866

859

associated to CO2 emissions became so conspicuous widespread pol-lution by endocrine disruptors (eg alkylphenols bisphenols DDTPCBs polybrominated diphenyl ethers phthalates and per-fluorooctanoic acid) was well documented Moreover other silent pol-lutants originate in the pharmaceutical industry eg antibiotics(Marathe et al 2017) and hormones They end up in a large variety ofecosystems in a diluted but still active form Finally plastics (egpolycarbonate polystyrene polyethylene terephthalate lowhigh-density polyethylene polypropylene and polyvinyl chloride) are cur-rently receiving a considerable focus as a major environmental pro-blem A number of microbial strains able to totally or partially act uponthese compounds have been isolated (see above) but in general thebiodegradation process is very slow The global nature of these types ofpollution thus requires the development of new efficient microbialpathways for their elimination quite a challenge for contemporarysynthetic biologists and metabolic engineers (de Lorenzo 2017)Butmdashas is the case for CO2 capture mentioned abovemdashpathways andhosts able to deploy them are not enough Effective strategies for globaldispersion of biodegradative activities of interest are badly nee-dedmdashperhaps inspired in gene drives or some type of self-propagatingmassive horizontal gene transfer (de Lorenzo et al 2016)

5 Conclusions and perspectives

The practical examples described in the preceding sections showthat technologies of systemic biology offer promise not only for therenaissance of bioremediation using anthropogenically enhanced mi-crobial degraders but also for entry to the new era of Bioremediation30 The bottlenecks described at the beginning of this text are one byone being released or removed with the help of new computational andexperimental tools Databases and pathway prediction systems help the

user to select suitable chemically and energetically feasible traits fordesired tasks Multi-omic analyses provide valuable information thatfacilitates choice of a suitable host Genome-scale and kinetic modelsapplied hand-in-hand with genetic engineering techniques enable tai-loring of gene expression reduction of metabolic burden and pathwayoptimization in the context of host metabolism The visionary conceptsof synthetic biology and global scale CO2 bioremediation open up newdimensions for engineering microbial degraders General work schemesand standards for design building and fine-tuning of selected bio-chemical routes networks and whole-cell biocatalysts are simulta-neously becoming better defined and accepted by the community

Despite the clear progress over the last decade of biochemical andbiological engineering the vast complexity of the living cell remainsthe major hurdle for any attempt for fully rational pathway design Inthe case of biosensing and biodegradation pathway design and pro-spective applications of the genetically-modified microbes this problemis exacerbated by the complexity of intercellular and interspecific in-teractions and by the still poorly understood interplay between thebiotic and abiotic factors that govern contaminant biodegradation inpolluted ecosystems (de Lorenzo 2008 Meckenstock et al 2015) Weassume that in principle there are two ways to address this challengenow and in future

The first admits that complexity of biological systems will not beresolved anytime soon and thus bets on combining rational designs withnatural evolution at the end of the DBTA cycle thus expanding it toDBTAE (Design-Build-Test-Analyze-Evolve) Adaptive laboratory evo-lution (ALE) is a high calibre tool of this approach ALE is now frequentlyused by academic and industrial laboratories to evolve desired prop-erties in environmental bacteria and for fine-tuning recombinant mi-croorganisms but its principles have been well known since the time ofthe very first attempts to modify microbial phenotypes (Kellogg et al

Fig 7 Hemiautotrophic growth of engineered E coli al-lowed by decoupling energy production and carbon fixa-tion The hemiautotrophic growth was observed after per-forming three distinct steps (i) Calvin-Benson-Bassham(CBB) cycle for the biosynthesis of sugars from CO2 wascompleted by introducing only two exogenous enzymaticactivities phosphoribulokinase (prkA) and RuBisCO (ii)phosphoglycerate mutase genes gpmA and gpmM were de-leted to separate central metabolism into two sub-systemsie a CO2-fixing part that included PrkA RuBisCO upperglycolysis and the pentose phosphate pathway and an en-ergy-supplying module that employed lower glycolysis andthe TCA cycle (iii) the engineered strain bearing furthermutations (ΔpfkA ΔpfkB Δzwf) was exposed to the strongselective pressure towards greater carbon fixation in xylose-limited chemostat with a surplus pyruvate and CO2Emerged mutations made designed CBB cycle functionaland the hemiautotrophic strain that replaced utilisation ofxylose with CO2 fixation dominated the populationFigure adapted from Antonovsky et al (2016)

P Dvořaacutek et al Biotechnology Advances 35 (2017) 845ndash866

860

1981) In biodegradation research exposing microorganisms with de-sirable catabolic traits to the target chemical(s) for prolonged intervalsin chemostat or shaken-flask cultures enabled isolation of bacteria ableto use persistent compounds such as 245-trichlorophenoxyacetic acid(the defoliating Agent Orange) or helped improve atrazine degradationrates by Pseudomonas sp ADP or 24-dichlorophenoxyacetic by Ral-stonia sp TFD41 (Devers et al 2008 Kellogg et al 1981 Nakatsuet al 1998) Nonetheless the potential of ALE in engineering microbialdegraders has yet not been fully exploited ALE will be an ideal tool forempowering rationally pre-designed recombinants with resistance todiverse environmental stresses encountered in directed biodegradationprocesses or in polluted ecosystems (Nicolaou et al 2010 Oide et al2015 Wang et al 2016) When combined with whole-genome se-quencing and reverse engineering ALE as an evolutionary ldquoblindrdquo ap-proach can paradoxically contribute to further rationalizing the field byexposing otherwise unpredictable complex changes in multitrait phe-notypes

The second approach bets on technology without compromise andwill take advantage of continuing technological revolution in biologyand related sciences We recently witnessed the attempt of syntheticbiologists to implement automation as we know it from electronic en-gineering in the design of orthogonal genetic circuits that would co-ordinate the actions of selected microbial chassis (Nielsen et al 2016)The genetic ldquogutsrdquo and pathway enzymes of the chassis can be designedand synthesized de novo or be tailored rapidly with surgical precisionusing new genome editing and protein engineering tools (Huang et al2016 Hutchison et al 2016 Nyerges et al 2016 Ran et al 2013Renata et al 2015) Although the circuit design tools still work pre-dominantly with simple logic gates the robustness and utility of theavailable minimal cells is limited and de novo-designed enzymes havelow activity we can assume that the efficiency reliability and timedemand of such exercises will be further improved by progress incomputer science and artificial intelligence development that couldcrack the complexity of life A purely technological approach wouldomit any unknowns from the DBTA cycle with help of reliable com-putational simulations thus expanding it to DSBTA (Design-Simulate-Build-Test-Analyze) and providing space for construction of whole-cellcatalysts perfectly tailored for specific biodegradation tasks

The challenges of both approaches applied to directed in situ bior-emediation encompass the development of test schemes that will ex-pose engineered organisms to mimicked environmental conditions in-cluding limiting carbon sources lack of oxygen or redox recycling masstransfer perturbations or interspecific predation (Meckenstock et al2015) A critical issue will be the choice and establishment of newchassis organisms better suited to field biotransformations than thecurrently available laboratory strains in terms of resistance to harshconditions including extreme pH temperature osmotic pressure orfluctuating concentrations of toxic chemicals (Adams 2016) Thesenew strains must simultaneously be reliable amenable to genetic ma-nipulation have mapped genomes and ideally metabolic models athand The in situ bioremediation quests will be complicated by thevarying nature of polluting compounds their mixtures and transfor-mation products all of which can be present at a single site (Sarigiannisand Hansen 2012) Future microbial degraders must therefore be de-signed to cope with several problem compounds in parallel and notonly in terms of degradation or mineralization The succesful conver-sion of dangerous contaminants into usable molecules that can be fur-ther valorized by whole-cell or cell-free biocatalysts is a desirablestarting point for the development of new technologies that extendstandard concepts of biodegradation and bioremediation (Dvorak et al2014a Wigginton et al 2012) Microbe-driven trash-to-treasure con-versions are known from established biomass valorization processesbut this concept can also be implemented in wastewater treatmentmetal and plastic recycling or in direct valorization of industrial by-product streams or captured greenhouse gases (Bornscheuer 2016Koutinas et al 2014 Nancharaiah et al 2016 Wierckx et al 2015)

Even so the major challenge to the entire field of engineered de-graders is not related to continued progress in the development of im-proved technologies which is inevitable but rather to the dissemina-tion and popularization of achievements already attained Publicenvironmental concerns and regulatory constraints have not just re-stricted field tests of genetically modified microbes but also affect thequality of fundamental research and by the same token overall pro-gress in the field The exercises described in this review will only have achance to become real enterprises if the general population is inspiredby biotechnology and accepts it as an inseparable part of our dailyroutine as it did for information technology The new systemic dis-ciplines that make life less puzzling as well as emerging do-it-yourselfmovement in biotechnology can undoubtedly contribute to a generalchange of attitude (de Lorenzo and Schmidt 2017) Such change isvital because our ability to minimize production of waste and pollutingchemicals remove existing waste or use it in bioprocesses to formvalue-added compounds will shape the fate of our society on a globalscale

Acknowledgements

PD is the holder of the Marie Sklodowska-Curie grant No 704410(FUTURE) The work in Authors Laboratory was funded by theCAMBIOS Project of the Spanish Ministry of Economy andCompetitiveness RTC-2014-1777-3 (MINECO) HELIOS Project of theSpanish Ministry of Economy and Competitiveness BIO 2015-66960-C3-2-R (MINECOFEDER) and the ARISYS (ERC-2012-ADG-322797)EmPowerPutida (EU-H2020-BIOTEC-2014-2015-6335536) andRaft4Biotech (720776) contracts of the European Union JD is sup-ported also by the Czech Ministry of Education (LQ1605 LO1214LM2015055) and Czech Grant Agency (GA16-06096S) The financialsupport of The Novo Nordisk Foundation to PIN is also gratefully ac-knowledged

References

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Chowdhury A Zomorrodi AR Maranas CD 2014 k-OptForce integrating kineticswith flux balance analysis for strain design PLoS Comput Biol 10 e1003487 httpdxdoiorg101371journalpcbi1003487

Chowdhury A Khodayari A Maranas CD 2015 Improving prediction fidelity ofcellular metabolism with kinetic descriptions Curr Opin Biotechnol 36 57ndash64httpdxdoiorg101016jcopbio201508011

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Dai Z Nielsen J 2015 Advancing metabolic engineering through systems biology ofindustrial microorganisms Curr Opin Biotechnol 36 8ndash15 httpdxdoiorg101016jcopbio201508006

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de la Pentildea Mattozzi M Tehara SK Hong T Keasling JD 2006 Mineralization ofparaoxon and its use as a sole C and P source by a rationally designed catabolicpathway in Pseudomonas putida Appl Environ Microbiol 72 6699ndash6706 httpdxdoiorg101128AEM00907-06

de Lorenzo V 2008 Systems biology approaches to bioremediation Curr OpinBiotechnol 19 579ndash589 httpdxdoiorg101016jcopbio200810004

de Lorenzo V 2009 Recombinant bacteria for environmental release what went wrongand what we have learnt from it Clin Microbiol Infect 15 (Suppl 1) 63ndash65 httpdxdoiorg101111j1469-0691200802683x

de Lorenzo V 2017 Seven microbial bio-processes to help the planet EnvironMicrobiol httponlinelibrarywileycomdoi1011111751-791512816full

de Lorenzo V Danchin A 2008 Synthetic biology discovering new worlds and newwords EMBO Rep 9 822ndash827 httpdxdoiorg101038embor2008159

de Lorenzo V Schmidt M 2017 The do-it-yourself movement as a source of innovationin biotechnology - and much more Microb Biotechnol 10 517ndash519 httpdxdoiorg1011111751-791512715

de Lorenzo V Marliegravere P Soleacute R 2016 Bioremediation at a global scale from the testtube to planet Earth Microb Biotechnol 9 618ndash625 httpdxdoiorg1011111751-791512399

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Doumlrr M Fibinger MPC Last D Schmidt S Santos-Aberturas J Boumlttcher DHummel A Vickers C Voss M Bornscheuer UT 2016 Fully automatized high-throughput enzyme library screening using a robotic platform Biotechnol Bioeng113 1421ndash1432 httpdxdoiorg101002bit25925

Dvorak P Bidmanova S Damborsky J Prokop Z 2014a Immobilized syntheticpathway for biodegradation of toxic recalcitrant pollutant 123-trichloropropaneEnviron Sci Technol 48 6859ndash6866 httpdxdoiorg101021es500396r

Dvorak P Kurumbang NP Bendl J Brezovsky J Prokop Z Damborsky J 2014bMaximizing the efficiency of multienzyme process by stoichiometry optimizationChembiochem Eur J Chem Biol 15 1891ndash1895 httpdxdoiorg101002cbic201402265

Dvorak P Chrast L Nikel PI Fedr R Soucek K Sedlackova M Chaloupkova Rde Lorenzo V Prokop Z Damborsky J 2015 Exacerbation of substrate toxicity byIPTG in Escherichia coli BL21(DE3) carrying a synthetic metabolic pathway MicrobCell Factories 14 201 httpdxdoiorg101186s12934-015-0393-3

Ebenau-Jehle C Mergelsberg M Fischer S Bruumlls T Jehmlich N von Bergen MBoll M 2017 An unusual strategy for the anoxic biodegradation of phthalate ISMEJ 11 224ndash236 httpdxdoiorg101038ismej201691

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2003 Methods for reliability and uncertainty assessment and for applicability eva-luations of classification- and regression-based QSARs Environ Health Perspect 1111361ndash1375

Escalante AE Rebolleda-Goacutemez M Beniacutetez M Travisano M 2015 Ecological per-spectives on synthetic biology insights from microbial population biology FrontMicrobiol 6 143 httpdxdoiorg103389fmicb201500143

Fernaacutendez-Aacutelvaro E Snajdrova R Jochens H Davids T Boumlttcher D BornscheuerUT 2011 A combination of in vivo selection and cell sorting for the identification ofenantioselective biocatalysts Angew Chem Int Ed Eng 50 8584ndash8587 httpdxdoiorg101002anie201102360

Fibinger MPC Davids T Boumlttcher D Bornscheuer UT 2015 A selection assay forhaloalkane dehalogenase activity based on toxic substrates Appl MicrobiolBiotechnol 99 8955ndash8962 httpdxdoiorg101007s00253-015-6686-y

Finley SD Broadbelt LJ Hatzimanikatis V 2009 Computational framework forpredictive biodegradation Biotechnol Bioeng 104 1086ndash1097 httpdxdoiorg101002bit22489

Finley SD Broadbelt LJ Hatzimanikatis V 2010 In silico feasibility of novel bio-degradation pathways for 124-trichlorobenzene BMC Syst Biol 4 7 httpdxdoiorg1011861752-0509-4-7

Francis CW Mankin JB 1977 High nitrate denitrification in continuous flow-stirredreactors Water Res 11 httpdxdoiorg1010160043-1354(77)90061-6

Fuchs G 2011 Alternative pathways of carbon dioxide fixation insights into the earlyevolution of life Annu Rev Microbiol 65 631ndash658 httpdxdoiorg101146annurev-micro-090110-102801

Gao J Ellis LBM Wackett LP 2010 The University of Minnesota BiocatalysisBiodegradation Database improving public access Nucleic Acids Res 38 D488ndash491httpdxdoiorg101093nargkp771

Gao F Ding H Feng Z Liu D Zhao Y 2014 Functional display of triphenylmethanereductase for dye removal on the surface of Escherichia coli using N-terminal domainof ice nucleation protein Bioresour Technol 169 181ndash187 httpdxdoiorg101016jbiortech201406093

Geueke B Garg N Ghosh S Fleischmann T Holliger C Lal R Kohler H-PE2013 Metabolomics of hexachlorocyclohexane (HCH) transformation ratio of LinAto LinB determines metabolic fate of HCH isomers Environ Microbiol 151040ndash1049 httpdxdoiorg1011111462-292012009

Gilbert ES Walker AW Keasling JD 2003 A constructed microbial consortium forbiodegradation of the organophosphorus insecticide parathion Appl MicrobiolBiotechnol 61 77ndash81 httpdxdoiorg101007s00253-002-1203-5

Glass JI Assad-Garcia N Alperovich N Yooseph S Lewis MR Maruf MHutchison CA Smith HO Venter JC 2006 Essential genes of a minimal bac-terium Proc Natl Acad Sci U S A 103 425ndash430 httpdxdoiorg101073pnas0510013103

Glick BR 1995 Metabolic load and heterologous gene expression Biotechnol Adv 13247ndash261

Guazzaroni M-E Herbst F-A Lores I Tamames J Pelaacuteez AI Loacutepez-Corteacutes NAlcaide M Del Pozo MV Vieites JM von Bergen M Gallego JLR BargielaR Loacutepez-Loacutepez A Pieper DH Rosselloacute-Moacutera R Saacutenchez J Seifert J FerrerM 2013 Metaproteogenomic insights beyond bacterial response to naphthaleneexposure and bio-stimulation ISME J 7 122ndash136 httpdxdoiorg101038ismej201282

Gredell JA Frei CS Cirino PC 2012 Protein and RNA engineering to customizemicrobial molecular reporting Biotechnol J 7 477ndash499 httponlinelibrarywileycomdoi101002biot201100266full

Gutierrez T Singleton DR Berry D Yang T Aitken MD Teske A 2013Hydrocarbon-degrading bacteria enriched by the Deepwater Horizon oil spill iden-tified by cultivation and DNA-SIP ISME J 7 2091ndash2104 httpdxdoiorg101038ismej201398

Hadadi N Hafner J Shajkofci A Zisaki A Hatzimanikatis V 2016 ATLAS ofbiochemistry a repository of all possible biochemical reactions for synthetic biologyand metabolic engineering studies ACS Synth Biol 5 1155ndash1166 httpdxdoiorg101021acssynbio6b00054

Haro MA de Lorenzo V 2001 Metabolic engineering of bacteria for environmentalapplications construction of Pseudomonas strains for biodegradation of 2-chlor-otoluene J Biotechnol 85 103ndash113

Hatzimanikatis V Li C Ionita JA Henry CS Jankowski MD Broadbelt LJ2005 Exploring the diversity of complex metabolic networks Bioinforma Oxf Engl21 1603ndash1609 httpdxdoiorg101093bioinformaticsbti213

He W Yuan S Zhong W-H Siddikee MA Dai C-C 2016 Application of geneti-cally engineered microbial whole-cell biosensors for combined chemosensing ApplMicrobiol Biotechnol 100 1109ndash1119 httpdxdoiorg101007s00253-015-7160-6

Hennig S Roumldel G Ostermann K 2015 Artificial cell-cell communication as anemerging tool in synthetic biology applications J Biol Eng 9 13 httpdxdoiorg101186s13036-015-0011-2

Hicks N Vik U Taylor P Ladoukakis E Park J Kolisis F Jakobsen KS 2017Using prokaryotes for carbon capture storage Trends Biotechnol 35 22ndash32 httpdxdoiorg101016jtibtech201606011

Hodgman CE Jewett MC 2012 Cell-free synthetic biology thinking outside the cellMetab Eng 14 261ndash269 httpdxdoiorg101016jymben201109002

Huang P-S Boyken SE Baker D 2016 The coming of age of de novo protein designNature 537 320ndash327 httpdxdoiorg101038nature19946

Hutchison CA Chuang R-Y Noskov VN Assad-Garcia N Deerinck TJ EllismanMH Gill J Kannan K Karas BJ Ma L Pelletier JF Qi Z-Q Richter RAStrychalski EA Sun L Suzuki Y Tsvetanova B Wise KS Smith HO GlassJI Merryman C Gibson DG Venter JC 2016 Design and synthesis of aminimal bacterial genome Science 351 aad6253 httpdxdoiorg101126

scienceaad6253Iwakiri R Yoshihira K Ngadiman Null Futagami T Goto M Furukawa K 2004

Total degradation of pentachloroethane by an engineered Alcaligenes strain expres-sing a modified camphor monooxygenase and a hybrid dioxygenase BiosciBiotechnol Biochem 68 1353ndash1356 httpdxdoiorg101271bbb681353

Izallalen M Mahadevan R Burgard A Postier B Didonato R Sun J SchillingCH Lovley DR 2008 Geobacter sulfurreducens strain engineered for increasedrates of respiration Metab Eng 10 267ndash275 httpdxdoiorg101016jymben200806005

Janssen DB Dinkla IJT Poelarends GJ Terpstra P 2005 Bacterial degradation ofxenobiotic compounds evolution and distribution of novel enzyme activitiesEnviron Microbiol 7 1868ndash1882 httpdxdoiorg101111j1462-2920200500966x

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Karig DK 2017 Cell-free synthetic biology for environmental sensing and remediationCurr Opin Biotechnol 45 69ndash75 httpdxdoiorg101016jcopbio201701010

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Khersonsky O Tawfik DS 2010 Enzyme promiscuity a mechanistic and evolutionaryperspective Annu Rev Biochem 79 471ndash505 httpdxdoiorg101146annurev-biochem-030409-143718

Kim J Copley SD 2012 Inhibitory cross-talk upon introduction of a new metabolicpathway into an existing metabolic network Proc Natl Acad Sci U S A 109E2856ndash2864 httpdxdoiorg101073pnas1208509109

Kim S Baek S-H Lee K Hahn J-S 2013a Cellulosic ethanol production using ayeast consortium displaying a minicellulosome and β-glucosidase Microb CellFactories 12 14 httpdxdoiorg1011861475-2859-12-14

Kim J Oliveros JC Nikel PI de Lorenzo V Silva-Rocha R 2013b Transcriptomicfingerprinting of Pseudomonas putida under alternative physiological regimesEnviron Microbiol Rep 5 883ndash891 httpdxdoiorg1011111758-222912090

Kim S Thiessen PA Bolton EE Chen J Fu G Gindulyte A Han L He J He SShoemaker BA Wang J Yu B Zhang J Bryant SH 2016 PubChem substanceand compound databases Nucleic Acids Res 44 D1202ndash1213 httpdxdoiorg101093nargkv951

King ZA Lloyd CJ Feist AM Palsson BO 2015 Next-generation genome-scalemodels for metabolic engineering Curr Opin Biotechnol 35 23ndash29 httpdxdoiorg101016jcopbio201412016

Kleinstiver BP Pattanayak V Prew MS Tsai SQ Nguyen NT Zheng Z JoungJK 2016 High-fidelity CRISPR-Cas9 nucleases with no detectable genome-wide off-target effects Nature 529 490ndash495 httpdxdoiorg101038nature16526

Kosuri S Church GM 2014 Large-scale de novo DNA synthesis technologies andapplications Nat Methods 11 499ndash507 httpdxdoiorg101038nmeth2918

Koutinas AA Vlysidis A Pleissner D Kopsahelis N Lopez Garcia I Kookos IKPapanikolaou S Kwan TH Lin CSK 2014 Valorization of industrial waste andby-product streams via fermentation for the production of chemicals and biopoly-mers Chem Soc Rev 43 2587ndash2627 httpdxdoiorg101039c3cs60293a

Krewski D Andersen ME Mantus E Zeise L 2009 Toxicity testing in the 21stcentury implications for human health risk assessment Risk Anal 29 474ndash479httpdxdoiorg101111j1539-6924200801150x

Kube M Chernikova TN Al-Ramahi Y Beloqui A Lopez-Cortez N Guazzaroni M-E Heipieper HJ Klages S Kotsyurbenko OR Langer I Nechitaylo TYLuumlnsdorf H Fernaacutendez M Juaacuterez S Ciordia S Singer A Kagan O Egorova OPetit PA Stogios P Kim Y Tchigvintsev A Flick R Denaro R Genovese MAlbar JP Reva ON Martiacutenez-Gomariz M Tran H Ferrer M Savchenko AYakunin AF Yakimov MM Golyshina OV Reinhardt R Golyshin PN 2013Genome sequence and functional genomic analysis of the oil-degrading bacteriumOleispira antarctica Nat Commun 4 2156 httpdxdoiorg101038ncomms3156

Kuipers RK Joosten H-J van Berkel WJH Leferink NGH Rooijen E IttmannE van Zimmeren F Jochens H Bornscheuer U Vriend G dos Santos VAPMSchaap PJ 2010 3DM systematic analysis of heterogeneous superfamily data todiscover protein functionalities Proteins 78 2101ndash2113 httpdxdoiorg101002prot22725

Kurumbang NP Dvorak P Bendl J Brezovsky J Prokop Z Damborsky J 2014Computer-assisted engineering of the synthetic pathway for biodegradation of a toxicpersistent pollutant ACS Synth Biol 3 172ndash181 httpdxdoiorg101021sb400147n

Latino DARS Wicker J Guumltlein M Schmid E Kramer S Fenner K 2017 Eawag-Soil in enviPath a new resource for exploring regulatory pesticide soil biodegrada-tion pathways and half-life data Environ Sci Processes Impacts 19 449ndash464httpdxdoiorg101039c6em00697c

Lee J Cao L Ow SY Barrios-Llerena ME Chen W Wood TK Wright PC 2006Proteome changes after metabolic engineering to enhance aerobic mineralization ofcis‑12-dichloroethylene J Proteome Res 5 1388ndash1397 httpdxdoiorg101021pr060008t

Lee JW Na D Park JM Lee J Choi S Lee SY 2012 Systems metabolic en-gineering of microorganisms for natural and non-natural chemicals Nat Chem Biol8 536ndash546 httpdxdoiorg101038nchembio970

Lehrbach PR Zeyer J Reineke W Knackmuss HJ Timmis KN 1984 Enzymerecruitment in vitro use of cloned genes to extend the range of haloaromatics de-graded by Pseudomonas sp strain B13 J Bacteriol 158 1025ndash1032

Li G-Q Ma T Li S-S Li H Liang F-L Liu R-L 2007 Improvement of di-benzothiophene desulfurization activity by removing the gene overlap in the dsz

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863

operon Biosci Biotechnol Biochem 71 849ndash854 httpdxdoiorg101271bbb60189

Li Z Yoshida N Wang A Nan J Liang B Zhang C Zhang D Suzuki D Zhou XXiao Z Katayama A 2015 Anaerobic mineralization of 246-tribromophenol toCO2 by a synthetic microbial community comprising Clostridium Dehalobacter andDesulfatiglans Bioresour Technol 176 225ndash232 httpdxdoiorg101016jbiortech201410097

Libis V Deleacutepine B Faulon J-L 2016 Expanding biosensing abilities through com-puter-aided design of metabolic pathways ACS Synth Biol 5 1076ndash1085 httpdxdoiorg101021acssynbio5b00225

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Liu J Tan L Wang J Wang Z Ni H Li L 2016 Complete biodegradation ofchlorpyrifos by engineered Pseudomonas putida cells expressing surface-immobilizedlaccases Chemosphere 157 200ndash207 httpdxdoiorg101016jchemosphere201605031

Loeschcke A Markert A Wilhelm S Wirtz A Rosenau F Jaeger K-E Drepper T2013 TREX a universal tool for the transfer and expression of biosynthetic pathwaysin bacteria ACS Synth Biol 2 22ndash33 httpdxdoiorg101021sb3000657

Long MR Ong WK Reed JL 2015 Computational methods in metabolic en-gineering for strain design Curr Opin Biotechnol 34 135ndash141 httpdxdoiorg101016jcopbio201412019

Lorenzo V Loza-Tavera H 2011 Microbial bioremediation of chemical pollutants howbacteria cope with multi-stress environmental scenarios In Storz G Hengge R(Eds) Bacterial Stress Responses Second edition ASM Press Washington DC pp481ndash492 httpdxdoiorg1011289781555816841ch30

Lovley DR Phillips EJP Gorby YA Landa ER 1991 Microbial reduction of ur-anium Nature 350 413ndash416 httpdxdoiorg101038350413a0

Lykidis A Peacuterez-Pantoja D Ledger T Mavromatis K Anderson IJ Ivanova NNHooper SD Lapidus A Lucas S Gonzaacutelez B Kyrpides NC 2010 The completemultipartite genome sequence of Cupriavidus necator JMP134 a versatile pollutantdegrader PLoS One 5 e9729 httpdxdoiorg101371journalpone0009729

Marathe NP Pal C Gaikwad SS Jonsson V Kristiansson E Larsson DGJ 2017Untreated urban waste contaminates Indian river sediments with resistance genes tolast resort antibiotics Water Res 124 388ndash397 httpdxdoiorg101016jwatres201707060

Martiacutenez I Mohamed ME-S Rozas D Garciacutea JL Diacuteaz E 2016 Engineering syn-thetic bacterial consortia for enhanced desulfurization and revalorization of oil sulfurcompounds Metab Eng 35 46ndash54 httpdxdoiorg101016jymben201601005

Martiacutenez-Garciacutea E de Lorenzo V 2012 Transposon-based and plasmid-based genetictools for editing genomes of gram-negative bacteria Methods Mol Biol 813267ndash283 (Clifton NJ) httpdxdoiorg101007978-1-61779-412-4_16

Martiacutenez-Garciacutea E de Lorenzo V 2016 The quest for the minimal bacterial genomeCurr Opin Biotechnol 42 216ndash224 httpdxdoiorg101016jcopbio201609001

Martiacutenez-Garciacutea E Aparicio T de Lorenzo V Nikel PI 2014a New transposon toolstailored for metabolic engineering of gram-negative microbial cell factories FrontBioeng Biotechnol 2 46 httpdxdoiorg103389fbioe201400046

Martiacutenez-Garciacutea E Nikel PI Aparicio T de Lorenzo V 2014b Pseudomonas 20genetic upgrading of P putida KT2440 as an enhanced host for heterologous geneexpression Microb Cell Factories 13 159 httpdxdoiorg101186s12934-014-0159-3

Martiacutenez-Garciacutea E Aparicio T Gontildei-Moreno A Fraile S de Lorenzo V 2015 SEVA20 an update of the Standard European Vector Architecture for de-re-constructionof bacterial functionalities Nucleic Acids Res 43 D1183ndash1189 httpdxdoiorg101093nargku1114

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Medema MH van Raaphorst R Takano E Breitling R 2012 Computational tools forthe synthetic design of biochemical pathways Nat Rev Microbiol 10 191ndash202httpdxdoiorg101038nrmicro2717

Mendes P Hoops S Sahle S Gauges R Dada J Kummer U 2009 Computationalmodeling of biochemical networks using COPASI Methods Mol Biol 500 17ndash59(Clifton NJ) httpdxdoiorg101007978-1-59745-525-1_2

Minty JJ Singer ME Scholz SA Bae C-H Ahn J-H Foster CE Liao JC LinXN 2013 Design and characterization of synthetic fungal-bacterial consortia fordirect production of isobutanol from cellulosic biomass Proc Natl Acad Sci U S A110 14592ndash14597 httpdxdoiorg101073pnas1218447110

Moraiumls S Shterzer N Lamed R Bayer EA Mizrahi I 2014 A combined cell-con-sortium approach for lignocellulose degradation by specialized Lactobacillus plan-tarum cells Biotechnol Biofuels 7 112 httpdxdoiorg1011861754-6834-7-112

Morgat A Axelsen KB Lombardot T Alcaacutentara R Aimo L Zerara M Niknejad A

Belda E Hyka-Nouspikel N Coudert E Redaschi N Bougueleret L SteinbeckC Xenarios I Bridge A 2015 Updates in Rheamdasha manually curated resource ofbiochemical reactions Nucleic Acids Res 43 D459ndash464 httpdxdoiorg101093nargku961

Mulbry W Ahrens E Karns J 1998 Use of a field-scale biofilter for the degradation ofthe organophosphate insecticide coumaphos in cattle dip wastes Pestic Sci 52268ndash274 httpdxdoiorg101002(SICI)1096-9063(199803)523lt268AID-PS719gt30CO2-2

Muschiol J Peters C Oberleitner N Mihovilovic MD Bornscheuer UT Rudroff F2015 Cascade catalysismdashstrategies and challenges en route to preparative syntheticbiology Chem Commun (Camb) 51 5798ndash5811 httpdxdoiorg101039c4cc08752f

Mutlu BR Yeom S Wackett L Aksan A 2015 Modelling and optimization of abioremediation system utilizing silica gel encapsulated whole-cell biocatalyst ChemEng J 259 574ndash580 httpdxdoiorg101016jcej201407130

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Nancharaiah YV Mohan SV Lens PNL 2016 Biological and bioelectrochemicalrecovery of critical and scarce metals Trends Biotechnol 34 137ndash155 httpdxdoiorg101016jtibtech201511003

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Nicolaou SA Gaida SM Papoutsakis ET 2010 A comparative view of metaboliteand substrate stress and tolerance in microbial bioprocessing from biofuels andchemicals to biocatalysis and bioremediation Metab Eng 12 307ndash331 httpdxdoiorg101016jymben201003004

Nielsen J Fussenegger M Keasling J Lee SY Liao JC Prather K Palsson B2014 Engineering synergy in biotechnology Nat Chem Biol 10 319ndash322 httpdxdoiorg101038nchembio1519

Nielsen AAK Der BS Shin J Vaidyanathan P Paralanov V Strychalski EARoss D Densmore D Voigt CA 2016 Genetic circuit design automation Science352 aac7341 httpdxdoiorg101126scienceaac7341

Nikel PI de Lorenzo V 2013 Engineering an anaerobic metabolic regime inPseudomonas putida KT2440 for the anoxic biodegradation of 13-dichloroprop-1-eneMetab Eng 15 98ndash112 httpdxdoiorg101016jymben201209006

Nikel PI Peacuterez-Pantoja D de Lorenzo V 2013 Why are chlorinated pollutants sodifficult to degrade aerobically Redox stress limits 13-dichloroprop-1-ene metabo-lism by Pseudomonas pavonaceae Philos Trans R Soc Lond Ser B Biol Sci 36820120377 httpdxdoiorg101098rstb20120377

Nikel PI Martiacutenez-Garciacutea E de Lorenzo V 2014 Biotechnological domestication ofpseudomonads using synthetic biology Nat Rev Microbiol 12 368ndash379 httpdxdoiorg101038nrmicro3253

Nikel PI Chavarriacutea M Fuhrer T Sauer U de Lorenzo V 2015 Pseudomonas putidaKT2440 strain metabolizes glucose through a cycle formed by enzymes of the Entner-Doudoroff Embden-Meyerhof-Parnas and pentose phosphate pathways J BiolChem 290 25920ndash25932 httpdxdoiorg101074jbcM115687749

Nikel PI Chavarriacutea M Danchin A de Lorenzo V 2016a From dirt to industrialapplications Pseudomonas putida as a synthetic biology chassis for hosting harshbiochemical reactions Curr Opin Chem Biol 34 20ndash29 httpdxdoiorg101016jcbpa201605011

Nikel PI Peacuterez-Pantoja D de Lorenzo V 2016b Pyridine nucleotide transhy-drogenases enable redox balance of Pseudomonas putida during biodegradation ofaromatic compounds Environ Microbiol 18 3565ndash3582 httpdxdoiorg1011111462-292013434

Nyerges Aacute Csoumlrgő B Nagy I Baacutelint B Bihari P Laacutezaacuter V Apjok G UmenhofferK Bogos B Poacutesfai G Paacutel C 2016 A highly precise and portable genome en-gineering method allows comparison of mutational effects across bacterial speciesProc Natl Acad Sci U S A 113 2502ndash2507 httpdxdoiorg101073pnas1520040113

Ohtsubo Y Maruyama F Mitsui H Nagata Y Tsuda M 2012 Complete genomesequence of Acidovorax sp strain KKS102 a polychlorinated-biphenyl degrader JBacteriol 194 6970ndash6971 httpdxdoiorg101128JB01848-12

Oide S Gunji W Moteki Y Yamamoto S Suda M Jojima T Yukawa H Inui M2015 Thermal and solvent stress cross-tolerance conferred to Corynebacterium glu-tamicum by adaptive laboratory evolution Appl Environ Microbiol 81 2284ndash2298httpdxdoiorg101128AEM03973-14

Oosterkamp MJ Veuskens T Talarico Saia F Weelink SAB Goodwin LADaligault HE Bruce DC Detter JC Tapia R Han CS Land ML Hauser LJLangenhoff AAM Gerritse J van Berkel WJH Pieper DH Junca H SmidtH Schraa G Davids M Schaap PJ Plugge CM Stams AJM 2013 Genomeanalysis and physiological comparison of Alicycliphilus denitrificans strains BC andK601(T) PLoS One 8 e66971 httpdxdoiorg101371journalpone0066971

Paddon CJ Keasling JD 2014 Semi-synthetic artemisinin a model for the use ofsynthetic biology in pharmaceutical development Nat Rev Microbiol 12 355ndash367httpdxdoiorg101038nrmicro3240

Parales RE Ditty JL 2005 Laboratory evolution of catabolic enzymes and pathwaysCurr Opin Biotechnol 16 315ndash325 httpdxdoiorg101016jcopbio200503008

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Pascual J Udaondo Z Molina L Segura A Esteve-Nuacutentildeez A Caballero A DuqueE Ramos JL van Dillewijn P 2015 Draft genome sequence of Pseudomonas putidaJLR11 a facultative anaerobic 246-trinitrotoluene biotransforming bacteriumGenome Announc 3 httpdxdoiorg101128genomeA00904-15

Patil VV Park K-H Lee S-G Woo E 2016 Structural analysis of the phenol-re-sponsive sensory domain of the transcription activator PoxR Structure 1993 (24)624ndash630 (Lond Engl) httpdxdoiorg101016jstr201603006

Patowary K Patowary R Kalita MC Deka S 2016 Development of an efficientbacterial consortium for the potential remediation of hydrocarbons from con-taminated sites Front Microbiol 7 1092 httpdxdoiorg103389fmicb201601092

Paul D Pandey G Jain RK 2005 Suicidal genetically engineered microorganisms forbioremediation need and perspectives Bioessays 27 563ndash573 httpdxdoiorg101002bies20220

Pavlova M Klvana M Prokop Z Chaloupkova R Banas P Otyepka M Wade RCTsuda M Nagata Y Damborsky J 2009 Redesigning dehalogenase access tunnelsas a strategy for degrading an anthropogenic substrate Nat Chem Biol 5 727ndash733httpdxdoiorg101038nchembio205

Petrie B Barden R Kasprzyk-Hordern B 2015 A review on emerging contaminants inwastewaters and the environment current knowledge understudied areas and re-commendations for future monitoring In Water Res Occurrence Fate Removal andAssessment of Emerging Contaminants in Water in the Water Cycle (FromWastewater to Drinking Water) 72 pp 3ndash27 httpdxdoiorg101016jwatres201408053

Planson A-G Carbonell P Paillard E Pollet N Faulon J-L 2012 Compoundtoxicity screening and structure-activity relationship modeling in Escherichia coliBiotechnol Bioeng 109 846ndash850 httpdxdoiorg101002bit24356

Puchałka J Oberhardt MA Godinho M Bielecka A Regenhardt D Timmis KNPapin JA Martins dos Santos VAP 2008 Genome-scale reconstruction andanalysis of the Pseudomonas putida KT2440 metabolic network facilitates applicationsin biotechnology PLoS Comput Biol 4 e1000210 httpdxdoiorg101371journalpcbi1000210

Ramos JL Wasserfallen A Rose K Timmis KN 1987 Redesigning metabolicroutes manipulation of TOL plasmid pathway for catabolism of alkylbenzoatesScience 235 593ndash596

Ramos J-L Marqueacutes S van Dillewijn P Espinosa-Urgel M Segura A Duque EKrell T Ramos-Gonzaacutelez M-I Bursakov S Roca A Solano J Fernaacutedez MNiqui JL Pizarro-Tobias P Wittich R-M 2011 Laboratory research aimed atclosing the gaps in microbial bioremediation Trends Biotechnol 29 641ndash647httpdxdoiorg101016jtibtech201106007

Ran FA Hsu PD Wright J Agarwala V Scott DA Zhang F 2013 Genome en-gineering using the CRISPR-Cas9 system Nat Protoc 8 2281ndash2308 httpdxdoiorg101038nprot2013143

Raunio H Kuusisto M Juvonen RO Pentikaumlinen OT 2015 Modeling of interac-tions between xenobiotics and cytochrome P450 (CYP) enzymes Front Pharmacol 6123 httpdxdoiorg103389fphar201500123

Ravikumar S Baylon MG Park SJ Choi J-I 2017 Engineered microbial biosensorsbased on bacterial two-component systems as synthetic biotechnology platforms inbioremediation and biorefinery Microb Cell Factories 16 62 httpdxdoiorg101186s12934-017-0675-z

Raymond RL Jamison VW Hudson JO 1975 Final Report on BeneficialStimulation of Bacterial Activity in Ground Waters Containing Petroleum ProductsSun Ventures Incorporated

Reineke W Knackmuss HJ 1979 Construction of haloaromatics utilising bacteriaNature 277 385ndash386

Renata H Wang ZJ Arnold FH 2015 Expanding the enzyme universe accessingnon-natural reactions by mechanism-guided directed evolution Angew Chem IntEd Eng 54 3351ndash3367 httpdxdoiorg101002anie201409470

Rockstroumlm J Gaffney O Rogelj J Meinshausen M Nakicenovic N SchellnhuberHJ 2017 A roadmap for rapid decarbonization Science 355 1269ndash1271 httpdxdoiorg101126scienceaah3443

Rojo F Pieper DH Engesser KH Knackmuss HJ Timmis KN 1987 Assemblageof ortho cleavage route for simultaneous degradation of chloro- and methylaromaticsScience 238 1395ndash1398

Rollin JA Martin del Campo J Myung S Sun F You C Bakovic A Castro RChandrayan SK Wu C-H Adams MWW Senger RS Zhang Y-HP 2015High-yield hydrogen production from biomass by in vitro metabolic engineeringmixed sugars coutilization and kinetic modeling Proc Natl Acad Sci U S A 1124964ndash4969 httpdxdoiorg101073pnas1417719112

Rui L Kwon YM Reardon KF Wood TK 2004 Metabolic pathway engineering toenhance aerobic degradation of chlorinated ethenes and to reduce their toxicity bycloning a novel glutathione S-transferase an evolved toluene o-monooxygenase andgamma-glutamylcysteine synthetase Environ Microbiol 6 491ndash500 httpdxdoiorg101111j1462-2920200400586x

Samin G Janssen DB 2012 Transformation and biodegradation of 123-tri-chloropropane (TCP) Environ Sci Pollut Res Int 19 3067ndash3078 httpdxdoiorg101007s11356-012-0859-3

Samin G Pavlova M Arif MI Postema CP Damborsky J Janssen DB 2014 Apseudomonas putida strain genetically engineered for 123-trichloropropane bior-emediation Appl Environ Microbiol 80 5467ndash5476 httpdxdoiorg101128AEM01620-14

Santacoloma PA Sin G Gernaey KV Woodley JM 2011 Multienzyme-catalyzedprocesses next-generation biocatalysis Org Process Res Dev 15 203ndash212 httpdxdoiorg101021op1002159

Santos CNS Yoshikuni Y 2014 Engineering complex biological systems in bacteriathrough recombinase-assisted genome engineering Nat Protoc 9 1320ndash1336

httpdxdoiorg101038nprot2014084Sarigiannis DA Hansen U 2012 Considering the cumulative risk of mixtures of

chemicals - a challenge for policy makers Environ Health 11 (Suppl 1) S18 httpdxdoiorg1011861476-069X-11-S1-S18

Schallmey M Frunzke J Eggeling L Marienhagen J 2014 Looking for the pick ofthe bunch high-throughput screening of producing microorganisms with biosensorsCurr Opin Biotechnol 26 148ndash154 httpdxdoiorg101016jcopbio201401005

Schellenberger J Que R Fleming RMT Thiele I Orth JD Feist AM ZielinskiDC Bordbar A Lewis NE Rahmanian S Kang J Hyduke DR Palsson BOslash2011 Quantitative prediction of cellular metabolism with constraint-based modelsthe COBRA Toolbox v20 Nat Protoc 6 1290ndash1307 httpdxdoiorg101038nprot2011308

Schmidt M 2010 Xenobiology a new form of life as the ultimate biosafety toolBioessays 32 322ndash331 httpdxdoiorg101002bies200900147

Schmidt M (Ed) 2012 Synthetic Biology Industrial and Environmental Applications1st edition Wiley-Blackwell

Schmidt M de Lorenzo V 2016 Synthetic bugs on the loose containment options fordeeply engineered (micro)organisms Curr Opin Biotechnol 38 90ndash96 httpdxdoiorg101016jcopbio201601006

Schwander T Schada von Borzyskowski L Burgener S Cortina NS Erb TJ 2016A synthetic pathway for the fixation of carbon dioxide in vitro Science 354 900ndash904httpdxdoiorg101126scienceaah5237

Scism RA Bachmann BO 2010 Five-component cascade synthesis of nucleotideanalogues in an engineered self-immobilized enzyme aggregate Chembiochem EurJ Chem Biol 11 67ndash70 httpdxdoiorg101002cbic200900620

Scott SR Hasty J 2016 Quorum sensing communication modules for microbialconsortia ACS Synth Biol 5 969ndash977 httpdxdoiorg101021acssynbio5b00286

Shapir N Mongodin EF Sadowsky MJ Daugherty SC Nelson KE Wackett LP2007 Evolution of catabolic pathways genomic insights into microbial s-triazinemetabolism J Bacteriol 189 674ndash682 httpdxdoiorg101128JB01257-06

Sheldon RA 2011 Characteristic features and biotechnological applications of cross-linked enzyme aggregates (CLEAs) Appl Microbiol Biotechnol 92 467ndash477 httpdxdoiorg101007s00253-011-3554-2

Shi L Dong H Reguera G Beyenal H Lu A Liu J Yu H-Q Fredrickson JK2016 Extracellular electron transfer mechanisms between microorganisms and mi-nerals Nat Rev Microbiol 14 651ndash662 httpdxdoiorg101038nrmicro201693

Si T Xiao H Zhao H 2015 Rapid prototyping of microbial cell factories via genome-scale engineering Biotechnol Adv 33 1420ndash1432 httpdxdoiorg101016jbiotechadv201411007

Silva-Rocha R de Lorenzo V 2014 Engineering multicellular logic in bacteria withmetabolic wires ACS Synth Biol 3 204ndash209 httpdxdoiorg101021sb400064y

Siu K-H Chen RP Sun Q Chen L Tsai S-L Chen W 2015 Synthetic scaffolds forpathway enhancement Curr Opin Biotechnol 36 98ndash106 httpdxdoiorg101016jcopbio201508009

Skariyachan S Manjunatha V Sultana S Jois C Bai V Vasist KS 2016 Novelbacterial consortia isolated from plastic garbage processing areas demonstrated en-hanced degradation for low density polyethylene Environ Sci Pollut Res Int 2318307ndash18319 httpdxdoiorg101007s11356-016-7000-y

Sohn SB Kim TY Park JM Lee SY 2010 In silico genome-scale metabolic ana-lysis of Pseudomonas putida KT2440 for polyhydroxyalkanoate synthesis degradationof aromatics and anaerobic survival Biotechnol J 5 739ndash750 httpdxdoiorg101002biot201000124

Stephanopoulos G 1999 Metabolic fluxes and metabolic engineering Metab Eng 11ndash11 httpdxdoiorg101006mben19980101

St-Pierre F Cui L Priest DG Endy D Dodd IB Shearwin KE 2013 One-stepcloning and chromosomal integration of DNA ACS Synth Biol 2 537ndash541 httpdxdoiorg101021sb400021j

Stucki G Thueer M 1995 Experiences of a large-scale application of 12-di-chloroethane degrading microorganisms for groundwater treatment Environ SciTechnol 29 2339ndash2345 httpdxdoiorg101021es00009a028

Takahashi K Ishikawa N Sadamoto Y Sasamoto H Ohta S Shiozawa A MiyoshiF Naito Y Nakayama Y Tomita M 2003 E-cell 2 multi-platform E-cell simu-lation system Bioinforma Oxf Engl 19 1727ndash1729

Tolia NH Joshua-Tor L 2006 Strategies for protein coexpression in Escherichia coliNat Methods 3 55ndash64 httpdxdoiorg101038nmeth0106-55

Tozakidis IEP Brossette T Lenz F Maas RM Jose J 2016 Proof of concept forthe simplified breakdown of cellulose by combining Pseudomonas putida strains withsurface displayed thermophilic endocellulase exocellulase and β-glucosidaseMicrob Cell Factories 15 103 httpdxdoiorg101186s12934-016-0505-8

Troumlgl J Krhůtkovaacute O Pilařovaacute V Daacuteňovaacute P Holiacuteček R Kohlovaacute M Hejda SSmrčka J Bouškovaacute A Křiklavovaacute L 2012 Removal of nitrates from high-salinitywastewaters from desulphurization process with denitrifying bacteria encapsulated inLentikats Biocatalyst Int J Environ Sci Technol 9 425ndash432 httpdxdoiorg101007s13762-012-0048-4

UniProt Consortium 2015 UniProt a hub for protein information Nucleic Acids Res 43D204ndash212 httpdxdoiorg101093nargku989

Vallenet D Calteau A Cruveiller S Gachet M Lajus A Josso A Mercier JRenaux A Rollin J Rouy Z Roche D Scarpelli C Meacutedigue C 2016MicroScope in 2017 an expanding and evolving integrated resource for communityexpertise of microbial genomes Nucleic Acids Res httpdxdoiorg101093nargkw1101

van Leeuwen JGE Wijma HJ Floor RJ van der Laan J-M Janssen DB 2012

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Directed evolution strategies for enantiocomplementary haloalkane dehalogenasesfrom chemical waste to enantiopure building blocks Chembiochem Eur J ChemBiol 13 137ndash148 httpdxdoiorg101002cbic201100579

Vilchez-Vargas R Junca H Pieper DH 2010 Metabolic networks microbial ecologyand ldquoomicsrdquo technologies towards understanding in situ biodegradation processesEnviron Microbiol 12 3089ndash3104 httpdxdoiorg101111j1462-2920201002340x

Wang HH Isaacs FJ Carr PA Sun ZZ Xu G Forest CR Church GM 2009Programming cells by multiplex genome engineering and accelerated evolutionNature 460 894ndash898 httpdxdoiorg101038nature08187

Wang B Kitney RI Joly N Buck M 2011 Engineering modular and orthogonalgenetic logic gates for robust digital-like synthetic biology Nat Commun 2 508httpdxdoiorg101038ncomms1516

Wang K Schmied WH Chin JW 2012 Reprogramming the genetic code from tri-plet to quadruplet codes Angew Chem Int Ed Eng 51 2288ndash2297 httpdxdoiorg101002anie201105016

Wang B Barahona M Buck M 2013 A modular cell-based biosensor using engineeredgenetic logic circuits to detect and integrate multiple environmental signals BiosensBioelectron 40 368ndash376 httpdxdoiorg101016jbios201208011

Wang L Xue C Wang L Zhao Q Wei W Sun Y 2016 Strain improvement ofChlorella sp for phenol biodegradation by adaptive laboratory evolution BioresourTechnol 205 264ndash268 httpdxdoiorg101016jbiortech201601022

Wei R Oeser T Schmidt J Meier R Barth M Then J Zimmermann W 2016Engineered bacterial polyester hydrolases efficiently degrade polyethylene ter-ephthalate due to relieved product inhibition Biotechnol Bioeng 113 1658ndash1665httpdxdoiorg101002bit25941

Wibberg D Bremges A Dammann-Kalinowski T Maus I Igentildeo MI Vogelsang RKoumlnig C Luque-Almagro VM Roldaacuten MD Sczyrba A Moreno-Viviaacuten CBlasco R Puumlhler A Schluumlter A 2016 Finished genome sequence and methylomeof the cyanide-degrading Pseudomonas pseudoalcaligenes strain CECT5344 as resolvedby single-molecule real-time sequencing J Biotechnol 232 61ndash68 httpdxdoiorg101016jjbiotec201604008

Wicker J Lorsbach T Guumltlein M Schmid E Latino D Kramer S Fenner K 2016enviPathmdashthe environmental contaminant biotransformation pathway resourceNucleic Acids Res 44 D502ndash508 httpdxdoiorg101093nargkv1229

Wierckx N Prieto MA Pomposiello P de Lorenzo V OConnor K Blank LM2015 Plastic waste as a novel substrate for industrial biotechnology MicrobBiotechnol 8 900ndash903 httpdxdoiorg1011111751-791512312

Wigginton N Yeston J Malakoff D 2012 Working with waste More treasure thantrash Introduction Science 337 662ndash663 httpdxdoiorg101126science3376095662

Winsor GL Griffiths EJ Lo R Dhillon BK Shay JA Brinkman FSL 2016Enhanced annotations and features for comparing thousands of Pseudomonas gen-omes in the Pseudomonas genome database Nucleic Acids Res 44 D646ndash653httpdxdoiorg101093nargkv1227

Wittich R-M Wolff P 2007 Growth of the genetically engineered strain Cupriavidusnecator RW112 with chlorobenzoates and technical chlorobiphenyls Microbiology153 186ndash195 httpdxdoiorg101099mic029096-0

Wittich R-M van Dillewijn P Ramos JL 2010 Rational construction of bacterialstrains with newimproved catabolic capabilities for the efficient breakdown of en-vironmental pollutants In Timmis KN (Ed) Handbook of Hydrocarbon and LipidMicrobiology Springer Berlin Heidelberg pp 1247ndash1254

Wolfaardt GM Lawrence JR Robarts RD Caldwell SJ Caldwell DE 1994Multicellular organization in a degradative biofilm community Appl EnvironMicrobiol 60 434ndash446

Wu G Yan Q Jones JA Tang YJ Fong SS Koffas MAG 2016 Metabolicburden cornerstones in synthetic biology and metabolic engineering applicationsTrends Biotechnol 34 652ndash664 httpdxdoiorg101016jtibtech201602010

Xu P Vansiri A Bhan N Koffas MAG 2012 ePathBrick a synthetic biology plat-form for engineering metabolic pathways in E coli ACS Synth Biol 1 256ndash266httpdxdoiorg101021sb300016b

Yadid I Rudolph J Hlouchova K Copley SD 2013 Sequestration of a highly re-active intermediate in an evolving pathway for degradation of pentachlorophenolProc Natl Acad Sci U S A 110 E2182ndash2190 httpdxdoiorg101073pnas1214052110

Yang J Liu R Jiang H Yang Y Qiao C 2012 Selection of a whole-cell biocatalystfor methyl parathion biodegradation Appl Microbiol Biotechnol 95 1625ndash1632httpdxdoiorg101007s00253-011-3792-3

Yang Y Yang J Jiang L 2016 Comment on A bacterium that degrades and assim-ilates poly(ethylene terephthalate) Science 353 759 httpdxdoiorg101126scienceaaf8305

Yoshida S Hiraga K Takehana T Taniguchi I Yamaji H Maeda Y Toyohara KMiyamoto K Kimura Y Oda K 2016a A bacterium that degrades and assimilatespoly(ethylene terephthalate) Science 351 1196ndash1199 httpdxdoiorg101126scienceaad6359

Yoshida S Hiraga K Takehana T Taniguchi I Yamaji H Maeda Y Toyohara KMiyamoto K Kimura Y Oda K 2016b Response to comment on A bacterium thatdegrades and assimilates poly(ethylene terephthalate) Science 353 759 httpdxdoiorg101126scienceaaf8625

Zobel S Benedetti I Eisenbach L de Lorenzo V Wierckx N Blank LM 2015 Tn7-based device for calibrated heterologous gene expression in Pseudomonas putida ACSSynth Biol 4 1341ndash1351 httpdxdoiorg101021acssynbio5b00058

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  • Bioremediation 30 Engineering pollutant-removing bacteria in the times of systemic biology
    • Introduction
    • Approaches and tools of systems biology and metabolic engineering for tailoring biodegradation pathways
      • Step 1 get to know the contaminant and find a suitable catabolic pathway
        • Databases
        • Pathway prediction systems and toxicity prediction algorithms
        • Detection and quantification of pathway building blocks
          • Step 2 select and get to know a suitable microbial host
            • Omics techniques in studies of bacterial degraders
              • Step 3 build the pathway and optimize its performance in the context of host metabolism
                • Computational tools for pathway and strain optimization
                • Experimental tools for pathway and strain optimization
                • Protein engineering to eliminate bottlenecks of biodegradation pathways
                    • Synthetic biology approaches and tools for biodegradation pathway engineering
                      • Development of robust microbial chassis for biodegradation of toxic chemicals
                      • Development of synthetic microbial consortia for enhanced biodegradation and bioremediation of pollutants
                      • Development of orthogonal systems in bacteria to enhance pollutant biodegradation and bioremediation
                      • Engineering microbial biodegradation pathways in vitro
                        • Towards planet-wide bioremediation interventions CO2 capture as a large-scale challenge
                        • Conclusions and perspectives
                        • Acknowledgements
                        • References
                        • Web references
Page 8: Bioremediation 3.0 Engineering pollutant-removing bacteria ... · biology, metabolic engineering, and synthetic biology, for the sake of understanding and reprograming biological

portfolio of systemic tools that can help overcome these issues is ex-panding constantly Here we will center on the major concepts thathave proven useful in tailoring biodegradation pathways and microbialdegraders We will discuss the application of several of these moderntools including the example of engineering the synthetic catabolic routefor 123-trichloropropane (TCP Fig 2) an industrial byproduct ofanthropogenic origin now being recognized as a groundwater con-taminant (Samin and Janssen 2012) TCP is representative of difficult-to-degrade halogenated aliphatic compounds a tough case for re-mediation technologists due to its physicochemical properties toxicityin living organisms and absence of efficient natural catabolic pathway(Janssen et al 2005 Samin and Janssen 2012) The enzymes laterused to compose the first synthetic pathway that allowed mineraliza-tion of TCP by an engineered bacterium had already been described inthe late 1980s and early 90s (Bosma et al 1999) With a historyspanninggt 25 years the engineering of this biodegradation pathwaythus represents one of the most systematic efforts of its kind

231 Computational tools for pathway and strain optimizationThe tremendous increase in the number of sequenced genomes (the

number of complete genomes in the NCBI database has more thandoubled in the last two years) of unicelluar and multicellular organ-isms including the microbial degraders mentioned above led to thereconstruction of genome-scale metabolic models representing all(anotated) biochemical reactions that take place in the living cell (Kinget al 2015) Mathematical models of metabolic networks have a cen-tral role in metabolic engineering and in pathway and strain optimi-zation Modelling can be used to analyze the selected pathway (eg todetermine the distribution of metabolic fluxes) and identify reactionsthat must be modified to improve its performance Genome-scale me-tabolic models are built by compiling data on genes related to bio-chemical reactions from databases such as KEGG and BioCyc The genesare compared to already finalized reconstructions of related organismsto find homologous reactions the draft model is then refined and ver-ified by simulations Flux Balance Analysis (FBA) and Metabolic FluxAnalysis (MFA) are two major approaches that use metabolic models topredict intracellular fluxes (Stephanopoulos 1999) FBA is a theoreticalconcept that uses the stoichiometric coefficients for each reaction in thesystem as the set of constraints for optimization MFA determines in-tracellular fluxes from measurable rates of metabolite uptake and se-cretion in growth medium In a typical experiment substrates labelledwith the non-radioactive isotope 13C are used in chemostat-growncultures to trace fluxes through a cellular network Computational toolssuch as Cobra 20 for Matlab OptKnock or k-OptForce can implementconstraint-based flux calculations and suggest strategies based onknock-out upregulation or downregulation of target genes to optimizemetabolite production without compromising cell growth (Burgardet al 2003 Chowdhury et al 2014 Schellenberger et al 2011) In astudy by Izallalen and colleagues OptKnock was used together with theconstraint-based in silico model of Geobacter sulfurreducens to determinegene deletions which could lead to increased respiration rates (Izallalenet al 2008) Geobacter species are well recognized for their ability todegrade radioactive and toxic metals and have been explored for theirutility in microbial fuel cells (Shi et al 2016) These processes arenonetheless limited by electron transfer rates in cells OptKnock cal-culations followed by genetic constructions by the authors resulted inrecombinant Geobacter cells with decreased ATP levels slower growthrates and predicted higher respiration rates (Izallalen et al 2008)Subsequent genome-wide analysis of gene transcript levels also verifiedthe in silico predictions

Although FBA- and MFA-based approaches can handle genome-scalemetabolic models and require no information on enzyme kinetics theiroutput only gives a steady-state approximation of the dynamic reality inthe living cell Kinetic modelling is an alternative to static flux calcu-lations when reliable kinetic parameters of pathway enzymes and someother input data are available eg specific surface area of the cell

permeability coefficients for substrates metabolite concentrations orapproximate enzyme amount in the cell (Chowdhury et al 2015) Ki-netic constants can be obtained from enzyme databases such asBRENDA or can be determined experimentally One should keep inmind that most kinetic constants deposited in databases are not stan-dardized and also measured in in vitro which might be a limiting factorwhen such data are applied to kinetic modelling in living systems (Costaet al 2011) Computational tools such as COPASI or E-Cell are used toassemble the pathway model in the form of kinetic and differentialequations and to simulate reaction time courses for various conditions(Mendes et al 2009 Takahashi et al 2003) Kinetic models of wholemetabolic networks are the holy grail of metabolic engineering buttheir application in strain design is limited by factors such as un-reliability of parameters non-universality of rate laws need to imple-ment regulatory events or extremely high demand on computationalpower (Chowdhury et al 2015) In contrast the use of kinetic mod-elling to engineer individual metabolic pathways or simpler in vitro-assembled networks is currently more feasible (Muschiol et al 2015)

Recent studies by Dvorak Kurumbang and colleagues are notableexample of kinetic modelling applied in engineering of synthetic bio-degradation pathways (Dvorak et al 2014b Kurumbang et al 2014)As a model these studies centered on detoxification of the industrialwaste compound and water pollutant TCP to glycerol - reaction cata-lysed by the haloalkane dehalogenase DhaA from Rhodococcus rhodo-chrous NCIMB 13064 and the haloalcohol dehalogenase HheC and theepoxide hydrolase EchA from Agrobacterium radiobacter AD1 (Bosmaet al 1999) In vitro steady-state kinetic data obtained for HheC EchAand three variants of DhaA were utilized to develop a kinetic model ofthe reaction that proved useful for revealing major bottlenecks in thepathway that is (i) low activity of wild-type DhaA on TCP and (ii)unbalanced enantioselectivity and enantiospecificity of the first and thesecond enzyme in the route DhaA and HheC respectively (Dvoraket al 2014b) Modelling was further applied to predict optimal enzymestoichiometry and fine-tuning overall pathway efficiency both in invitro conditions and in the heterologous microbial host E coli In E colithe pathway was established as a modular tunable system (Kurumbanget al 2014) Absolute amounts of pathway enzymes in the cell copynumbers of used plasmid vectors and toxicity levels of pathway sub-strate and intermediates were included in the mathematical model asadditional parameters Variants of the pathway predicted to promotebetter host survival in a medium with toxic TCP were verified ex-perimentally The observed precise matching between calculated andexperimental data confirmed the performance of the pathway in E coliand stressed the power of kinetic modelling when reliable parametersare available Finally the kinetic parameters of an optimal DhaA var-iant that would ensure sufficient TCP conversion to glycerol as well ashost cell growth on the toxic substrate were both predicted by mathe-matical modelling

This study shows that for engineering and implanting heterologouspathways complete knowledge of the host cell metabolic background isnot a must and a reliable strain design can be achieved with a relativelysimple mathematical model (Dvorak et al 2014b) Even so similarstudies that combine theoretical and experimental approaches in thedesign of pathways and strains for biodegradation are still rare Mostrecent work in the biodegradation field is restricted to application ofpurely experimental techniques from a repertoire of metabolic en-gineering discussed in the following section

232 Experimental tools for pathway and strain optimizationOnce the bottleneck reaction steps are identified and a solution is

proposed experimental techniques are applied to target the appropriategenes or regulatory mechanisms Engineering is traditionally conductedat the level of gene expression which affects the quantity of proteinGenes in native or synthetic pathways are usually overexpressed byintroducing plasmid vectors with extra copies of desired coding se-quences One popular approach also used for modular assembly of the

P Dvořaacutek et al Biotechnology Advances 35 (2017) 845ndash866

852

TCP biodegradation pathway described above is to combine NovagenDuet plasmid vectors (Merck Millipore Germany) or derivatives such asePathBrick vectors which carry compatible replication origins andantibiotic markers (Kurumbang et al 2014 Tolia and Joshua-Tor2006 Xu et al 2012) This system allows effective propagation andmaintenance of up to four plasmids in a single E coli BL21 cell withλDE3 lysogen and modular assembly of multi-gene pathways SEVA(Standard European Vector Architecture) plasmids with standardizedarchitecture and nomenclature are an alternative modular vectorsystem tailored to allow cloning or expression of heterologous genes inP putida E coli and other Gram-negative bacteria with no specificneed for strain pretreatment (Martiacutenez-Garciacutea et al 2015) Up to fourplasmids each with one of the six available antibiotic markers (ampi-cillin kanamycin cloramphenicol streptomycin tetracycline genta-micin) four independent replication origins (RK2 pBBR1 pRO1600ColE1 RSF1010) and diverse cargoes can be combined in a single hostcell to fulfill the users needs A rich collection of constructs is alreadyfreely available (httpsevacnbcsices)

A set of compatible SEVA plasmids was used for instance in a studyof Nikel and de Lorenzo (2013) who described extrication of P putidaKT2440 from its strictly aerobic nature which prevents its use in in-dustrial anaerobic fermentors and certain bioremediation applications(Nikel and de Lorenzo 2013) Two scenarios were considered to ex-plain the inability of P putida to grow in anoxic conditions (i) un-balanced energy charge due to limited activity of the respiratory chainand (ii) lack of appropriate pathways for anoxic NADH re-oxidationThis two-fold problem was tackled by recruiting the pyruvate dec-arboxylase (pdc) and alcohol dehydrogenase II (adhB) genes from theanaerobe Zymomonas mobilis and the acetate kinase (ackA) gene fromthe facultative aerobe E coli to manipulate energy generation andredox balance in anoxic conditions To evaluate the potential of therecombinant host for anoxic biotransformations the authors used it as ahost for the haloalkane dehalogenase genes from P pavonaceae strain170 The resulting recombinant which bore two synthetic operons oncompatible plasmids pSEVA234 and pSEVA428 not only survived inanoxic conditions but also degraded the environmental pollutant 13-dichloropropene These results highlight the possibility of harnessingthe full potential of P putida KT2440 as a robust biocatalyst by precisecontrol of its energy and redox metabolism

Despite the widespread use of recombinant plasmids in proof-of-concept studies metabolic engineers must bear in mind that the in-troduction and massive expression of heterologous genes can affect hostfitness due either to additional metabolic load or to depletion of es-sential cofactors in redox reactions (Dvorak et al 2015 Glick 1995Wu et al 2016) This is even more important in the design of robustbacterial degraders that must cope with a spectrum of toxic substratesandor pathway intermediates and might need an additional energycharge and reducing cofators to cope with oxidative stress (Dvoraket al 2015 Nikel et al 2013) By-passing such difficulties is possibleby tuning inducer concentration applying lower-copy-number plasmidswith weaker promoters or by enzyme-mediated co-factor recyclingthrough overexpression of NAD+ kinase transhydrogenases or dehy-drogenases (Dvorak et al 2015 Nikel et al 2016b)

As an alternative expression of heterologous genes directly from thehost chromosome can be beneficial for greater stability of the desiredgenotypephenotype and improved host viability (Martiacutenez-Garciacuteaet al 2014a Santos and Yoshikuni 2014 St-Pierre et al 2013 Zobelet al 2015) Homologous recombination and site-specific or randomtransposition-based techniques have been developed to enable chro-mosomal insertion of single genes gene clusters or whole syntheticoperons or knockouts of genes that encode competing metabolicpathways (Loeschcke et al 2013 Martiacutenez-Garciacutea et al 2014a Santosand Yoshikuni 2014 St-Pierre et al 2013 Zobel et al 2015)

In a study by Samin and co-workers a mutant variant of haloalkanedehalogenase DhaA was introduced into the chromosome of 23-di-chloro-1-propanol-degrading P putida MC4 under the control of a

strong constitutive promoter using the Tn5 transposon-based deliveryvector (Samin et al 2014) Although the complete mineralizationpathway in strain MC4 is not yet fully understood the recombinantPseudomonas was the first microorganism shown to grow aerobically onTCP both in shaken flasks and in packed-bed reactor in continuous-flow conditions Mini-transposon systems have also been used suc-cessfully for chromosomal integration of the whole catabolic cluster asin the study by Wittich and Wolf who transplanted 11 genes from threedistinct bacteria into Cupriavidus necator H850 giving rise to the firstdesigner bacterium to show aerobic growth on a wide range of PCBincluding the two commercial pesticides Aroclor 1221 and Aroclor1232 (Wittich and Wolff 2007)

Gene expression balancing is undoubtedly a powerful metabolic en-gineering concept In addition to the approaches mentioned above forrather rough manipulation of gene expression numerous techniques forfine-tuning expression have been developed in recent years Surgicalcuts including computationally designed ribosome binding sites refinedarchitecture of the whole expression cassette mutagenesis of promoterregions tailored stability of mRNA molecules or altered gene order inthe operon were proven useful for optimizing bisynthetic pathways(Boyle and Silver 2012) In several cases expression adjustment was alsoconsidered in biodegradation pathway design de la Pentildea Mattozzi andco-workers achieved more rapid paraoxon hydrolysis in a recombinantP putida strain by altering the order of three genes in the operon forenzymes that convert one of the initial pathway intermediates (de laPentildea Mattozzi et al 2006) Expression of the dszB gene which encodes2-hydroxybiphenyl-2-sulfinate sulfinolyase the last rate-limiting enzymein the dibenzothiophene biodesulfurization pathway was improved byrearranging gene order and removing the overlapping structure in the dszoperon (Li et al 2007) Nonetheless especially in cases of syntheticmetabolic pathways composed of biocatalysts from diverse organismsthe activity selectivity stability or inhibition bottlenecks of individualenzymes can be too far-reaching to be solved by tuning expression of thecorresponding genes Moreover overexpression of endogenous or exo-genous genes often results in a metabolic burden and lower host viabilitydue to overconsumption of metabolic precursors (amino acids rRNAATP reducing cofactors) to fuel the synthesis of non-essential proteins(Glick 1995 Wu et al 2016) Protein engineering of bottleneck en-zymes then becomes a more reasonable approach

233 Protein engineering to eliminate bottlenecks of biodegradationpathways

Over the last two decades three distinct strategies were developed toallow the construction and identification of mutant enzymes with de-sirable properties (Bornscheuer et al 2012) The earliest approach ra-tional design exploits various computational techniques such as mole-cular docking homology modelling and molecular dynamics simulationstogether with site-directed mutagenesis protocols to generate targetedmutations that result in single or several modified variants of an enzyme(Damborsky and Brezovsky 2014) In contrast directed evolution usesrandom mutagenesis methods and is beneficial especially in cases whenneither the structure nor the catalytic mechanism of the enzyme isavailable (Brakmann 2001) Random methods of directed evolution arecombined with elements of rational enzyme modification to bypasscertain limitations of both approaches This focused directed evolutionapproach targets several specific residues or certain protein regions se-lected on the basis of prior structural and functional knowledge(Bornscheuer et al 2012) Mutation hot spots are chosen experimentallyand on a much larger scale computationally using powerful new al-gorithms and statistical tools such as HotSpot Wizzard or 3DM tool(Bendl et al 2016 Damborsky and Brezovsky 2014 Kuipers et al2010) A clear trend in recent years is the introduction of protein en-gineering into the metabolic engineering workflow

The activities of many enzymes that act on anthropogenic com-pounds are derived from promiscuous activities that are generally veryinefficient (Khersonsky and Tawfik 2010) In such cases protein

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engineering is the only possible solution Numerous reports from thefirst decade of the 2000s describe application of common protein en-gineering methods such as error-prone PCR DNA shuffling site-di-rected or saturation mutagenesis for engineering activity or selectivityof individual catabolic enzymes to halogenated hydrocarbons (Paralesand Ditty 2005 Wittich et al 2010) Recently the new challenge ofaccumulating plastic waste has attracted the attention of protein en-gineers who try to enhance the activities of certain bacterial or fungalenzymes such as esterases lipases or polyster hydrolases to syntheticpolymers including polyethylene terephthalate (PET) or polyurethanes(Wierckx et al 2015) For instance Wei and colleagues applied acomparison of crystal structures and molecular docking combined withside-directed mutagenesis to improve the activity of cutinase TfCut2from Thermobifida fusca KW3 towards PET at elevated temperaturesthat promote degradation of this oil-derived plastic (Wei et al 2016)Subsequent kinetic and in silico energetic analyses confirmed that theimprovement in PET hydrolysis was the result of a relief of productinhibition caused by single point mutation in the enzymes surface-ex-posed active site New unique PETase and MHETase shown to helpbacterium Indonella sakaiensis to depolymerize and utilize PET arepromissing candidates for protein and metabolic engineering exercisesthat might lead to biotechnological recycling of the polymer(Bornscheuer 2016 Yoshida et al 2016a) Alas such a promise is notdevoid of controversy about the very enzymes that could do the job(Yang et al 2016 Yoshida et al 2016b)

The studies reporting the implantation of constructed mutants in thecontext of the whole biodegradative pathway are nonetheless ratherrare Iwakiri and co-workers successfully applied Alcaligenes sp KF711harbouring engineered monooxygenase P450CAM for the dehalogena-tion of pentachloroethane to trichloroethane in anoxic conditions(Iwakiri et al 2004) In another study promiscuous toluene ortho-monooxygenase and epoxide hydrolase were engineered using DNA-shuffling and saturation mutagenesis the use of mutant genes allowedmore rapid aerobic degradation of chlorinated ethenes with less ac-cumulation of stress-inducing intermediates in recombinant E colibearing the synthetic pathway (Lee et al 2006 Rui et al 2004)

Mutants of DhaA the enzyme that initiates dehalogenation of TCPwere used in three of the previously mentioned studies that focused onTCP pathway engineering (Dvorak et al 2014b Kurumbang et al 2014Samin et al 2014) The DhaA31 variant with 29-fold improved catalyticefficiency towards the chlorinated substrate was prepared by combiningmolecular dynamics simulations of product release from the buried ac-tive site with site-directed and saturation mutagenesis in selected hotspots (Pavlova et al 2009) Another promising mutant with the potentialto remove the second serious bottleneck in the synthetic TCPpathwaymdashenantioselectivity of DhaA and high enantiospecificity ofHheCmdashoriginated from the work of van Leeuwen et al (2012) Theauthors targeted DhaA31 to obtain variants that convert TCP pre-dominantly into (R)-DCP which can be further converted by HheC at amuch higher rate than the (S)-enantiomer Five rounds of focused di-rected evolution using saturation mutagenesis with restricted codon setsprovided mutant DhaA r5-90R with 13 new amino acid substitutions andsubstantially improved (R)-selectivity Mutagenesis nevertheless affectedthe activity with TCP which dropped to wild-type DhaA levels themutant was later shown in in vitro and in vivo studies to be of no value forfurther improvement of TCP pathway efficiency (Dvorak et al 2014bKurumbang et al 2014) Additional engineering input is thus needed toobtain DhaA variants with improved activity and modified enantios-electivity that would promote smooth flux through the syntheticpathway (Fig 4) and allow growth of bacterial recombinants in minimalmedium with the toxic substrate (Kurumbang et al 2014)

It will be necessary to accelerate the processes of laboratory evo-lution and screening of new enzymes with enhanced properties inmutant and metagenomic libraries to make protein engineering ofgreater value in optimizing natural and synthetic catabolic pathways(Bouhajja et al 2016) Selection couples an improved enzyme property

with host survival which allows evengt 109 clonesenzyme variants tobe tested in a reasonable time New selection assays based on toxicsubstrate conversions into a harmless utilizable metabolite coupledwith fluorescence-activated sorting of surviving cells could for ex-ample be applied for the enrichment of new dehalogenase variantsfrom libraries prepared by directed evolution or a semi-rational ap-proach (Fernaacutendez-Aacutelvaro et al 2011 Fibinger et al 2015) Severalrecent studies presented workflows for high-throughput screening andcharacterization of improved enzyme variants or novel enzyme activ-ities These test schemes are based on (i) bioinformatic pre-screeningcombined with high-throughput experimental characterization of can-didate proteins (Bastard et al 2014) (ii) completely automated roboticplatforms manipulating clones growing in microtitre plates (Doumlrr et al2016) (iii) microcapillary arrays coupled with fluorescent assays andlaser extraction for recovery of live clones (Chen et al 2016) or (iv)single-cell sorting based on a fluorescent signal from clones with animplemented synthetic genetic circuit responding to a specific meta-bolite (Choi et al 2014) In silico screening of molecules that fit theactive site cavity of an available enzyme structure or reverse screeningof enzymes that can accommodate target substrate could supplementexperimental methods and reduce the time needed for discovery of newbiocatalysts for recalcitrant chemicals Indeed the potential of in silicoscreening methods was demonstrated when investigating cytochromeP450-mediated metabolism of xenobiotics (Raunio et al 2015) In arecent study by Aukema and colleagues docking and molecular dy-namics simulations allowed selection of biphenyl dioxygenase fromParaburkholderia xenovorans LB400 as the best candidate enzyme formetabolizing carbamazepine one of the most commonly identified re-calcitrant pharmaceuticals in rivers (Aukema et al 2016) The ex-perimentally verified rate of carbamazepine degradation by P xeno-vorans cells was 40-times greater than the best reported rates so far

As shown in the preceding sections the available toolbox of systemsbiology metabolic engineering and protein engineering applicable forre-factoring microbes and their catabolic pathways towards more effi-cient biodegradation of waste chemicals and recalcitrant pollutants isbecoming inordinately large Even so the defined workflows standardsand universally applicable principles for strain optimization were longmissing in the field of metabolic engineering despite which the aim toengineer living systems on a rational basis remained prevalent in thecommunity This goal led metabolic engineers to adopt standards andstrategies from another closely related field of synthetic biology thatwas established primarily to program living systems with a high pre-dictability

3 Synthetic biology approaches and tools for biodegradationpathway engineering

The principal underlying thought in synthetic biology is that anyliving system can be considered a set of separate usable componentsthat can be combined by the means of biological engineering in newarrangements to alter existing features or generate new ones (deLorenzo and Danchin 2008) Such biological engineering can be sim-plified by applying principles adopted from electronic engineering andcomputer science to produce predictable robust systems (genetic con-trol systems metabolic pathways chromosomes and whole cells) withnon-natural functions (Paddon and Keasling 2014) This would beachieved through the fabrication of thoroughly characterized stan-dardized recyclable parts From its very beginnings synthetic biologyhas been confronted with the need to define its practice precisely and todevelop clear generally applicable strategies as this was the only wayto guarantee and implement engineering principles in a field as sto-chastic as biology With its tools standards and the DBTA cyclestrategy synthetic biology has contributed as has no other scientificdiscipline to rationalize metabolic engineering Its bottom-up ap-proaches and synthetic devices are being implemented to make morerobust better controllable microbial cell factories Synthetic biology

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can and to some extent already contributes the same service with itsnew concepts to the fields of biodegradation and bioremediation In thethe Section 3 we will discuss examples of beneficial inclusion of syn-thetic biology into strategies for engineering pathways and whole cellsfor biodegradation of waste and polluting chemicals and perspectivesfor these initiatives

31 Development of robust microbial chassis for biodegradation of toxicchemicals

Genetic instability and negatively affected fitness are frequentlyencountered drawbacks of the native microbial hosts tailored by me-tabolic engineering for specific biodegradation purposes Syntheticbiology offers possible solutions for these problems by implementingDNA synthesis and genome editing strategies Both curiosity and pro-spective practical applications drive synthetic biologists to generatemicrobial cells with deleted parts of their genomes that encode re-dundant cryptic or even deleterious functions Such cells endowedwith a reduced genome as foundation to house and support hetero-logous genetic parts are collectively known as chassis (Adams 2016)An extreme case of a chassis is the so-called minimal cell (Glass et al2006) Chassis can be prepared by de novo synthesis of a reduced targetgenome and its implantation into a suitable cell envelope or throughsystematic deletions of non-essential genes in the genomes of an ex-isting natural host Microarray-based oligonucleotide synthesis is cur-rently used to provide a substrate (usually 5ndash50 oligos) for constructionof larger (usually 200ndash3000 bp) synthetic fragments (Kosuri andChurch 2014) Scarless methods including the popular Gibson as-sembly uracil assembly Golden Gate technology ligase cycling reac-tion or yeast recombination are used to combine sequence-verifiedgene-length fragments in even larger complexes (Casini et al 2015)DNA synthesis also allows preparation of standardized genetic parts(promoters ribosome binding sites genes terminators and so on) withverified codon-optimized sequences Despite breakthroughs in genesynthesis and DNA assembly methods this last approach for chassisconstruction seems far more feasible at the moment considering thelesser demand of chromosome editing experiments the constantly ex-panding portfolio of genetic tools and the growing list of micro-organisms with intentionally reduced genomes (Martiacutenez-Garciacutea and de

Lorenzo 2016 Si et al 2015)Discarding non-essential cell functions shows considerable potential

not only for biosynthetic purposes (Hutchison et al 2016) but also fordesigner biodegradation and bioremediation A recent report on thesystematic deletion of 11 non-adjacent genomic regions in P putidaKT2440 (Fig 5) is a unique example of genome streamlining in apopular bacterial host with well-defined biodegradation capabilities(Martiacutenez-Garciacutea et al 2014b) In all 300 genes were eliminated thatis 43 of the entire KT2440 strain genome using the scar-less deletionprocedure based on homologous recombination after in vivo DNAcleavage by the homing Saccharomyces cerevisiae nuclease I-SceI(Martiacutenez-Garciacutea and de Lorenzo 2012) A suite of functions was tar-geted including the complete flagellar machinery whose assembly andfunction drains ATP from the cells and consumes NAD(P)H Four pro-phages two transposons and three components of DNA restriction-modification systems were also eliminated to minimize genetic in-stability The resulting strains designated P putida EM42 and EM383(the latter lacks the recA gene that encodes recombinase A) showedclearly superior growth properties and improved overall physiologicalvigour compared to wild-type KT2440 Moreover due to the higherNADPHNADP+ ratio the reduced-genome strains also better toleratedendogenous oxidative stress a property that provides a crucial ad-vantage for catalysing harsh biodegradation reactions such as aerobicdehalogenation of chlorinated pollutants (Nikel et al 2013)

Despite their reliability and robustness the procedures based onthese genome editing tools are time- and labour-intensive and re-stricted to a limited number of model microorganisms This problem isnow being challenged by new protocols that profit from the type IIbacterial Clustered Regularly Interspaced Short Palindromic Repeats(CRISPR) and CRISPR-associated protein (Cas) Multiple AutomatedGenome Editing (MAGE) and combinations thereof (Barrangou andvan Pijkeren 2016 Wang et al 2009) Nonetheless these technologiesalso suffer from some weaknesses such as generation of numerous off-target mutations The off-target problem of the CRISPR-Cas system wasrecently mitigated by engineering high-fidelity Cas9 nucleases(Kleinstiver et al 2016) In a similar manner the number of off-targetmutations during MAGE was reduced substantially when temperature-sensitive control of the endogenous methyl-directed mismatch repairsystem was introduced into the E coli host together with a dominant

Fig 4 Hypersurface plot describing the effect of catalytic efficiency (kcatKm) and enantioselectivity (E-value) of haloalkane dehalogenase DhaA on the production of glycerol in the TCPpathway The hypersurface was calculated using the mathematical model of the TCP pathway (Dvorak et al 2014b) using the constraints of Kurumbang and co-workers (Kurumbanget al 2014) Positions of four DhaA variants DhaAwt (wild type kcatKm = 70 Mminus1 sminus1 E-value = 1) DhaA r5-90R (kcatKm = 20 Mminus1 sminus1 E-value = 10) DhaA31 (kcatKm = 600 Mminus1 sminus1 E-value = 1) and hypothetical DhaAXX (kcatKm = 700 Mminus1 sminus1 E-value = 10) are indicated by red dots Note that the majority of mutations (orange spheres)introduced into DhaA r5-90R and DhaA31 are adjacent to the active site (red spheres) and to the access tunnels (in green) Hypothetical enzyme DhaAXX with 10-fold improved catalyticefficiency and 10-fold improved enantioselectivity compared to DhaAwt would enable production of 1 mM glycerol (red line) from 2 mM TCP in the culture of recombinant E coliBL21(DE3) within 24 h time interval Such glycerol concentration will be sufficient to support the cell growth Figure was adopted and modified from (Kurumbang et al 2014) (Forinterpretation of the references to colour in this figure legend the reader is referred to the web version of this article)

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negative mutator allele of the E coli mismatch repair protein MutL(Nyerges et al 2016) By placing this highly conserved allele togetherwith λ Red recombinase genes and a temperature-sensitive λ repressoron a single broad-host range plasmid Nyerges and co-workers provideda simplified MAGE variant (pORTMAGE) that allowed genome editingand mutant library generation in several biotechnologically and clini-cally relevant bacterial species with no need for prior modifications ofparental strains The recent discovery of the Ssr protein from P putidaDOT-T1E a functional homologue of the β protein of the λ Red re-combination system paved the way for oligonucleotide-mediatedmultiplex genome engineering in pseudomonads including P putidaKT2440 and its derived platform strains EM42 and EM383 (Aparicioet al 2016) Continuing facilitated reduction of their genomes (dele-tions of multiple repetitive sequences or certain proteases) and genomesof other relevant bacterial hosts will provide more reliable robustchassis for biodegradation pathway engineering

32 Development of synthetic microbial consortia for enhancedbiodegradation and bioremediation of pollutants

An alternative strategy that allows for the emergence of more robustmicrobe-based bioprocesses is just the opposite of the systematic de-velopment of bacterial chassis based on individual wild-type strainsNatural microbial consortia perform complicated biocatalytic taskssuch as lignocellulose degradation wastewater purification or in-testinal food digestion By dividing the labour and metabolic burdenthe consortium members become more flexible when facing complexenvironmental conditions Distribution of catabolic capacity amongcells of a single organism among different bacterial strains or evenamong species from different kingdoms is pivotal this is especially truefor biodegradation of complex toxic chemicals which encompassesmany steps and harmful intermediates with diverse physicochemicalproperties The idea of exploiting consortia for directed biodegradationof polluting compounds and bioremediation of contaminated sites thuslies ready to hand

Application of natural microbial consortia has already shown pro-mise for bioremediation of sites polluted with anthropogenic pesticidessuch as diclofop methyl or atrazine (Baghapour et al 2013 Wolfaardtet al 1994) Together with the new field of synthetic biology attemptsare being made to modify the structure of original natural consortia ordevelop completely new artificial organizations of co-operating mi-croorganisms For example co-culture of engineered E coli SD2 and Pputida KT2440 was used successfully to mineralize the insecticideparathion in shaken flasks and in biofilm culture (Gilbert et al 2003)In another study complete mineralization of 246-tribromophenol aflame-retardant intermediate and pesticide was achieved using an

artificial anaerobe consortium of reductive debrominator Dehalobactersp FTH1 a hydrogen supplier Clostridium sp Ma13 and the 4-chor-ophenol-degrading strain Desulfatiglans parachlorophenolica DS (Li et al2015) Recently Martiacutenez and co-workers introduced an attractive al-ternative strategy for engineering the 4S pathway (Fig 6A) a para-digmatic bioprocess for removal of the recalcitrant sulphur from aro-matic heterocycles in fuels (Martiacutenez et al 2016) The pathwayencoded by dszABCD genes converts the model compound di-benzothiophene (DBT) into sulphur-free 2-hydroxybiphenyl (2HBP)The authors initially synthesized and re-arranged the original genes andoptimized transcriptional and translational signals for P putida KT2440By dividing the pathway into three separate modules expressed in-dividually they were able to define previously unreported bottlenecksin the pathway that is the inhibitory effect of intermediate 2HBP-sulfinate (HBPS) on DszA and DszC monooxygenases and HBPS leakageinto the culture medium from which it could not be transported backinto the cells for further processing To prevent HBPS accumulationtwo P putida strains bearing dszC1-D1 or dszB1A1-D1 modules weremixed as a suspension of resting cells When the strains were combinedat a 14 ratio and added with cell-free extract containing extra DszBalmost 100 of DBT was transformed into 2HBP in assay conditions

Considerable attention is currently being dedicated to developingstrategies for biodegradation of oil and oil-derived chemicals Patowaryand co-workers designed a potent microbial consortium for prospectivedecontamination of sites exposed to polycyclic aromatic hydrocarbonsfrom crude oil (Patowary et al 2016) The authors first inspected thebiodegradative capacity for total petroleum hydrocarbons of 23 bac-terial isolates from petroleum-contaminated soils and subsequentlydesigned 14 artificial consortia based on the five most efficient isolatesThe best designer consortium comprised of two biosurfactant-produ-cing hydrocarbon-degrading strains of Bacillus pumilus and B cereusshowed up to 84 degradation of total petroleum hydrocarbons afterfive weeks as verified by gravimetric FTIR and GCMS analyses Ap-plication of natural or re-designed bacteria and their consortia alsoholds considerable promise for decomposition of oil-derived plasticwaste (Skariyachan et al 2016 Yoshida et al 2016a 2016b)

New tricks for more efficient biodegradation strategies could beadopted from inspiring current research on synthetic consortia designedto decompose and valorize lignocellulosic biomass (Minty et al 2013)Tozakidis and co-workers reported application of an engineered con-sortium of three P putida strains displaying thermophilic en-doglucanase exoglucanase or β-glucosidase for concerted hydrolysis ofcellulose at elevated temperatures (Tozakidis et al 2016) Some studiesdescribe surface display of whole designer cellulosomes ndash syntheticenzymatic nanomachines whose natural counterparts are produced bycertain cellulolytic bacteria that exploit clustered surface-attached

Fig 5 Engineered Pseudomonas putida KT2440 as a newrobust chassis for biodegradation and bioremediationMartiacutenez-Garciacutea and colleagues used in-house genomeediting tools to streamline the chromosome of Pseudomonasputida KT2440 (Martiacutenez-Garciacutea et al 2014b) Deletion of43 of the original genome gave rise to the new platformstrains EM42 and EM383 whose advantageous propertiesmake them useful chassis for engineering biodegradationpathways and other applications

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cellulases for efficient depolymerization of cellulose and hemicellulose(S Kim et al 2013 Moraiumls et al 2014) The vast majority of the workthat exploits surface display systems for whole-cell removal of en-vironmental contaminants has been restricted to individual proteinssuch as laccases methyl parathion hydrolase or triphenylmethane re-ductase (Gao et al 2014 Liu et al 2016 Yang et al 2012) It istempting to expand available surface display technologies with cellu-losome parts for the design of synthetic consortia that would catalysemore complex biodegradation reactions including polymeric substratesor toxic metabolites outside the cells

Despite their true biotechnological potential microbial consortiaremain too complex for directed long-term application either for bio-synthesis or for biodegradation It is still difficult to engineer home-ostasis and evolutionary stability in an artificial multi-cellular systemwhose behaviour becomes unpredictable with time (Escalante et al2015) Attempts to adopt principles of intercellular communication forsynthetic consortia are just at their beginnings (Hennig et al 2015Scott and Hasty 2016) Intensive co-operation of genetic engineers andevolutionary biologists with microbial ecologists and chemists willobviously be needed to derive a deeper understanding of the processesthat rule the formation and survival of natural microbial consortiaLessons learnt from nature can be implemented and combined withcompletely anthropogenic orthogonal genetic devices for more reliabledesign of stable multicellular systems

33 Development of orthogonal systems in bacteria to enhance pollutantbiodegradation and bioremediation

Orthogonal or in other words parallel independent systems1 is a key

concept in synthetic biology as long as such quality makes live systemsmore amenable to bona fide engineering Orthogonalization involveseg use of unnatural genetic codes (for example quadruplet rather thantriplet) alternative transcription-translation machineries toggleswitches and genetic circuits for assembly of novel metabolic andsignalling pathways from proteins containing non-natural amino acids(An and Chin 2009 Wang et al 2012) Such metabolic pathways couldhave new functions and would synthesize or catabolize a fresh spectrumof compounds Ideally orthogonal pathwaysmodules interact mini-mally with their natural counterparts in the host cell This improvespredictability of the component behaviour and prevents inhibitorycross-talk following introduction of the pathway or circuit into an ex-isting metabolic network (Kim and Copley 2012 Kurumbang et al2014) In an orthogonal module the input and output molecules ofgenetic circuitsmdashor enzymes and metabolites of synthetic biochemicalroutesmdashare not degraded or inactivated by side-reactions or physico-chemical conditions of the host cell While complete orthogonality isvirtually impossible in biological systems a practicable level of context-independence is indeed feasible Some examples of claimed orthogonalsystems include simple synthetic genetic circuits switches or designedmetabolic pathways These have the potential to improve function ofindividual engineered bacteria or synthetic consortia as whole-cellbiosensors and degraders of recalcitrant chemicals

Sensitivity robustness and applicability of microbial biosensors fordetecting heavy metals or halogenated hydrocarbons can be greatlyimproved by implementing orthogonal genetic devices (Bereza-Malcolm et al 2015) Thus far simple microbial biosensor designsbased on one input and two-part regulatory systems with promoter andreporter providing a coloured fluorescent bioluminescent or electricsignal prevail in the literature (Ravikumar et al 2017) Reports onmore complex multi-input systems based on Boolean logic gates are stillrare but give us a clue to future developments in the field As firstoutlined by the work of Wang et al (2016) orthogonally acting multi-

Fig 6 Examples of synthetic biology approaches applied toengineering biodegradation pathways and whole-cell de-graders (a) Martiacutenez and co-workers divided the 4Spathway for sulphur removal from aromatic heterocyclesinto two modules (dszC1-D1 and dszB1A1-D1) that wereexpressed individually in two P putida KT2440 strains toform a synthetic consortium (Martiacutenez et al 2016) Com-bining the strains at a 14 ratio and mixing them with cell-free extract from the third strain producing DszB resulted inalmost complete conversion of dibenzothiophene into sul-phur-free 2-hydroxybiphenyl in assay conditions (b) Wanget al constructed a synthetic bacterial consortium in whicheach of the two E coli strains functioned as a double inputsensor with synthetic AND gates for detecting arsenicmercury and copper ions and quorum sensing molecules(3OC6HSL Wang et al 2013) Strain 2 generated redfluorescence only in the presence of all three metal ions inculture (c) Benedetti and colleagues achieved directedtransition between planktonic and biofilm lifestyles of Pputida KT2440 by controlling cyclic di-GMP levels with anorthogonal genetic device composed of the yedQ diguany-late cyclase gene from E coli under the control of the cy-clohexanone-responsive ChnRPchnB regulatory node fromAcinetobacter johnsonii (Benedetti et al 2016) Designedcells with a synthetic operon for 1-chlorobutane biode-gradation formed inducible biofilms with higher dehalo-genase activity than free planktonic bacteria (d) Dvorakand co-workers assembled the first in vitro synthetic biode-gradation pathway for 123-trichloropropane (TCP) bycombining engineered haloalkane dehalogenase DhaA31halohydrin dehalogenase HheC and epoxide hydrolaseEchA immobilized in cross-linked enzyme aggregates(CLEAS) and polyvinyl alcohol particles (LentiKats) (Dvoraket al 2014a) The immobilized pathway converted highconcentrations of toxic TCP into glycerol in contaminatedwater for more than two months of continuous operation in

a bench-top packed bed reactor (For interpretation of the references to colour in this figure legend the reader is referred to the web version of this article)

1 The mathematical and geometrical concept of orthogonality has been adopted first bycomputing science and then by synthetic biology to signify operative independenceSystem A is orthogonal to system B if A does not influence Bmdashand vice versa

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inputmulti-output logic gates will be especially valuable for detectingmixtures of polluting chemicals (organic inorganic or both) by pro-viding a specific signal for each of the constituents (He et al 2016Wang et al 2011) Developing such biosensors is of practical im-portance as polluted environments are usually burdened with nu-merous contaminants that have diverse physicochemical propertiesThe authors engineered a set of two-input E coli-based biosensors withsynthetic AND gates using signalling sensory modules from native two-component signal transduction pathways as well as hrpR and hrpSgenes along with their HrpL promoter element from P syringae Usingthese sensors they detected arsenic mercury copper and zinc ions aswell as quorum sensing molecules in aqueous environment (Wang et al2011) The most advanced design resulted in a triple-input AND logic-gated biosensor that formed a synthetic bacterial consortium in whicheach of the two members acted as a double input sensor (Fig 6B) In thepresence of arsenic and mercury the first strain formed a quorumsensing molecule (3OC6HSL) that diffused freely into the medium andwas sensed together with Cu2+ by the second strain which provided ared fluorescent signal (Wang et al 2013) The fluorescent response wasseen only when all three metal ions were present in the culture

Reliable orthogonal devices will be crucial for engineering artificialcell-cell communication for instance taking advantage of bacterialquorum sensing systems (Hennig et al 2015 Scott and Hasty 2016)Programming the dynamics of subpopulations of synthetic consortiathat perform complex tasks will be only possible with parallel geneticcircuits and signalling molecules unknown to the host cells (Chen et al2015) As stressed by Silva-Rocha and de Lorenzo (2014) catabolicpathways for recalcitrant and xenobiotic compounds could be a reliablesource of wiring devices and molecules These pathways are frequentlyfound in specific types of organisms and metabolic crosstalk can thusbe avoided by implementing components of such networks in suitablehosts For instance aromatic molecules such as benzoate or phenol canbe used as signal inducers that are recognized by regulatory proteinsthat trigeger expression of target genes The recent determination of thecrystal structure of the sensory domain in the phenol-responsive tran-scription activator PoxR ilustrates how aromatics are sensed in bacteria(Patil et al 2016) This study paves the way for wider application ofrationally engineered transcription regulators responsive to aromaticsin the design of synthetic genetic circuits

The dynamic behaviour of the whole biodegradation pathway canalso be better studied when the route is transferred into a distant hostchassis where it acts orthogonally The orthogonal nature of the syn-thetic pathway for TCP biodegradation in the surrogate host E coliBL21 (DE3) described in Section 231 allowed a very good matchbetween in silico predicted and in vivo metabolite concentrations andprecise description of the bottlenecks (Kurumbang et al 2014) as wellas deciphering the contribution of metabolic burden and substratemetabolite toxicity to the fitness cost of TCP biotransformation bywhole-cell catalysts (Dvorak et al 2015) Despite their benefits for suchmechanistic and proof-of-concept studies laboratory E coli strainsmight not be optimally suited for the harsh conditions that accompanybiodegradation and bioremediation processes (Adams 2016 Nicolaouet al 2010) Development of reliable chassis amenable to implantationof orthogonal genetic devices is therefore desirable These new cellplatforms should be based on robust environmental strains of Pseudo-monas Rhodococcus Deinococcus and other microorganisms with broadmetabolic versatility and natural resistance to organic solvents or heavymetals (Adams 2016)

One can also take advantage of other specific properties of en-vironmental bacteria including formation of a robust biofilm As shownrecently by Benedetti and colleagues the actual physical forms ofwhole-cell biocatalysts can be mastered using orthogonal genetic parts(Fig 6C) through the so-called synthetic morphology approach (Benedettiet al 2016) Pseudomonads generate biofilms with biophysical prop-erties that depend on the species Cyclic di-GMP (c-di-GMP) is the keysignal molecule that rules the complex regulatory network mediating

the transition between planktonic cells and biofilm formation Thisfeature was exploited to design an orthogonal genetic device for ma-nipulating the native c-di-GMP biochemistry in P putida thereby con-trolling biofilm formation (Benedetti et al 2016) The E coli yedQ gene(encoding diguanylate cyclase the enzyme that synthesizes c-di-GMPfrom GTP) was placed under control of a tightly regulated cyclohex-anone-responsive expression system A synthetic operon encoding theenzymes needed for 1-chlorobutane biodegradation was also in-troduced in the engineered biofilm-forming P putida strain Upon ac-tivation of the corresponding genetic modules with appropriate in-ducers the resulting P putida biocatalyst displayed high dehalogenaseactivity in robust biofilms

The modern approaches of biological engineering accelerate thedevelopment of whole-cell biocatalysts for in situ bioremediation orbiosensing of emerging environmental pollutants Field applications ofgenetically modified microorganisms are nonetheless restricted bycurrent legislation and hindered by the unreliable behaviour of re-combinant microbes in complex fluctuating environments Syntheticbiology can help to tackle the major problems through the means de-scribed at the beginning of this chapter ie non-canonical geneticcodes and xenobiochemistry which can prevent diffusion of undesiredsequences into the environmental gene pool differentiate recombinantsfrom their natural counterparts and improve robustness and reliabilityof prepared genetic devices whole-cell degraders and biosensors Theexamples of such endeavours were recently reviewed extensively(Schmidt 2010 Schmidt and de Lorenzo 2016) These systems couldbe combined with bioluminiscence fluorescence or DNA watermarkingtechnologies to track the environmental fate of designer degraders orwith inducible suicide systems for discarding degraders once theirmission is completed (Liss et al 2012 Liu et al 2010 Paul et al2005) Yet the path to applied xenobiology is still crooked and manyethical questions remain Another concept from the portfolio of syn-thetic biology that will be discussed in the following section has thepotential to fill the time gap until we obtain reliable whole-cell catalystsand alternative solutions also acceptable for GMO critics will be pro-vided

34 Engineering microbial biodegradation pathways in vitro

The major principle of cell-free synthetic biology is that purifiedbiomolecules or components in crude cell extracts replace intact cellsfor constructing complex biomolecular systems (Hodgman and Jewett2012) To date metabolic networks that encompassgt 10 enzymeshave been reconstructed in vitro (Rollin et al 2015 Schwander et al2016) Cell-free metabolic pathways allow easy verification of bioca-talyst function determination of kinetic parameters as well as eva-luation of the network by kinetic modelling (Santacoloma et al 2011)Note however that assemby of degradative pathways in cell-free sys-tems (whether with purified enzymes or cell extracts) is not only toprototype and parametrize new routes but also for direct use in thefield (Karig 2017) Despite the drawbacks that cell-free systems cannotself-propagate that certain biomolecules can be sensitive to oxidizingenvironments and that their encapsulation and large-scale productionmight be costly these systems offer an appealing means to circumventproblems associated to GMO release to the environment Apart fromincreasing safety they offer other clear benefits For instance in vitrosystems can operate in the presence of toxins that would inhibit or killlive cells and metabolites regulators and enzymes can be produced inoptimized concentrations without interfering with cell componentsMost important for release and predictability the evolutionary oppor-tunities of such non-live agents are zero making the emergence ofunexpected properties virtually impossible

In vitro metabolic networks can suffer from suboptimal efficiencydue to the lower enzyme concentration compared to the extremelydense cell cytoplasm (Hodgman and Jewett 2012) This issue can bemitigated by enzyme immobilization and improved spatial organization

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via synthetic protein or DNA scaffolds that reduce diffusion of pathwayintermediates and promote substrate channeling (Siu et al 2015) Al-ternatively biocatalysts can be precipitated and covalently inter-connected in cross-linked enzyme aggregate particles (Sheldon 2011)this method was applied successfully to synthesize toxic nucleotideanalogues by an immobilized five-enzyme synthetic pathway (Scismand Bachmann 2010) The biochemical route described was completedwith functional ATP regeneration which demonstrates that in vitrotechnologies can cope with another possible drawback ndash limited co-factor recycling

Thus far mainly single immobilized enzymes or whole-cell bioca-talysts have been exploited in biotechnological processes intended toremove polluting chemicals such as polyethylene terephthalate 24-dinitrophenol atrazine or inorganic nitrates (Barth et al 2016Dehghanifard et al 2013 Mutlu et al 2015 Troumlgl et al 2012) In vitroassays with cell-free extracts or purified enzymes respectively helpedto identify an unknown anaerobic pathway for complete phthalatedegradation to CO2 in Thauera chlorobenzoica 3CB-1 or to decipher se-questration of the highly toxic intermediate tetrachlorobenzoquinone inpentachlorophenol degradation pathway in Sphingobium chlor-ophenolicum (Ebenau-Jehle et al 2017 Yadid et al 2013) Geuekeet al showed the benefits of an in vitro engineering approach in themodel of γ-HCH biodegradation pathway (Geueke et al 2013) Theyused a system of two purified enzymes the dehydrochlorinase LinA andthe haloalkane dehalogenase LinB which initiate biotransformation ofγ-HCH a prohibited insecticide They separately incubated five isomersthat form technical HCH (which used to be applied frequently instead ofpure γ-HCH) with various LinALinB ratios and determined metabolicprofiles of sequential biotransformations Analyses of these profileshelped determine the environmental fate of HCH isomers and showedthat the original HCH degradation pathway is optimized by evolutionfor γ-HCH but not for other isomers that co-pollute contaminated sites

The first report of in vitro assembly of a fully functional syntheticbiodegradation pathway was published by Dvorak and co-workers(Dvorak et al 2014a) The authors adopted the cell-free strategy usingimmobilized engineered haloalkane dehalogenase DhaA31 halohydrindehalogenase HheC and epoxide hydrolase EchA for TCP bio-transformation to harmless valuable glycerol in contaminated water(Fig 6D) The practical utility of bacterial recombinants that mineralizeTCP (desccribed in Sections 231 and 232) is limited by substratetoxicity and by legislative barriers on the application of GMO(Kurumbang et al 2014 Samin et al 2014) Probing the function ofthe pathway in in vitro conditions therefore lied ready to hand Theauthors successfully immobilized the pathway in the form of purifiedenzymes or cell-free extracts in cross-linked enzyme aggregates andlens-shaped polyvinyl alcohol particles The immobilized pathwayshowed almost the same efficiency of TCP-to-glycerol conversion asmixture of free enzymes Physicochemical properties of polyvinyl al-cohol lentils allowed recovery from the reaction mixture and recyclingof the pathway In addition the immobilized enzymes retainedgt 50of their initial activities for over 2 months of continuous operation in abench-top packed bed reactor The study indicated that the im-mobilized route removes TCP from heavily contaminated water with apollutant concentration (~1 gL) that would be detrimental to theliving degraders One can anticipate that such conversions of toxic TCPto useful glycerol could even pave the way for prospective valorizationof this waste chemical

Although this biotechnology requires further validation and tuningthe work showed that in vitro assembly of natural or synthetic enzy-matic pathways with engineered enzymes is a promising concept for thebiodegradation of polluting compounds and toxic industrial wasteproducts Transport of such pathways via non-live carriers is relatedconceptually to efforts to produce and release complex therapeuticagents for human use In both cases their application demands thedevelopment of a sort of environmental Galenic science that enablessupply of the engineered biological remedy when and where needed

4 Towards planet-wide bioremediation interventions CO2

capture as a large-scale challenge

Environmental deterioration due to emissions of recalcitrant che-micals seems to pale when compared to the problem of global warmingcaused by the release of greenhouse gases that originate in human ac-tivities The bulk of these gases comprise four natural molecules carbondioxide (CO2) methane (CH4) nitrous oxide (N2O) and ozone (O3) aswell as one class of xenobiotics the chlorofluorocarbons or CFC Giventhe diluted aereal and global nature of this problem the strategiescontemplated for tackling these chemical species differ considerablyfrom those that centre on site-specific pollution issues Most proposalsthus far focus much more on reducing emissions than on capture andreturning to innocuous chemical or mineral forms All these compoundshave their own natural biogeochemical cycle and in theory simplyreducing their input into the biosphere should restore the originalequilibrium (Rockstroumlm et al 2017) Recent ecological thought none-theless postulates that the impact of climate change in many ecosystemsis already irreversible by natural means and call for large-scale inter-ventions that could help to resolve this impasse (de Lorenzo et al2016) In this case what types of options could be considered from asystemic biology perspective

Some incipient attempts have appeared recently mostly in the fieldof engineering bacteria with a greater capacity for non-photosyntheticfixing of CO2 (Erb and Zarzycki 2016) One option is to use the sixalternative pathways of autotrophic carbon fixation known in nature(Fuchs 2011 Hicks et al 2017) as a starting point to optimize suchnatural processes Another possibilty is the invention of new routes byrewiring or modifying existing enzymes in a new configuration A re-markable example of this solution is the work of Antonovsky et al(2016) who showed that combining metabolic rewiring recombinantprotein expression and laboratory evolution enables the production ofsugars and other biomass constituents by a fully functional Calvin-Benson-Bassham (CBB) cycle in E coli In the bacteria designed in thisway carbon is fixed via a refactored CBB cycle whereas reducingpower and energy are derived from pyruvate oxidation (Fig 7) It isinteresting to note how evolutionary approaches adjust fluxes andgenerate connections between the designed CBB cycle and the hostbiochemical network that cannot be predicted or designed

A separate approach was recently developed by Schwander et al(2016) who developed a synthetic route for continuous CO2 fixation invitro by composing a cycle formed of 17 enzymes that convert CO2 intoorganic molecules The cycle was draughted by metabolic retro-synthesis with enzymes from nine organisms from three domains of lifefurther optimized through rounds of protein engineering and metabolicproofreading Although this completely designed pathway has not yetbeen implemented in vivo (eg in a bacterial carrier) it is a question oftime until it is done and propagated throughout an entire microbialcommunity (de Lorenzo et al 2016)

Finally todays systemic approaches enable the invention of en-zymes from scratch through de novo protein design followed by directedevolution which opens perspectives for improving the natural state ofaffairs regarding fixation of CO2 (and other greenhouse gases) as well asvalorization of this waste as biotechnological feedstocks (Huang et al2016 Renata et al 2015) A separate matter is the large-scale de-ployment of the microbial agents for CO2 retrieval Existing technologyallows their implementation in biofilters and bioreactors that captureemissions at source But how can we spread such desirable catalyticproperties at a very large even at planetary level to make a differenceSuch technologies are not yet availablemdashlet alone that they raise a largenumber of safety questions But they must necessarily be developed ifwe are not just to control greenhouse gas discharges but also aim attheir eventual reduction to pre-industrial levels (de Lorenzo et al2016)

Unfortunately greenhouse gases are not the only globally wide-spread molecules to be concerned about Much before global warming

P Dvořaacutek et al Biotechnology Advances 35 (2017) 845ndash866

859

associated to CO2 emissions became so conspicuous widespread pol-lution by endocrine disruptors (eg alkylphenols bisphenols DDTPCBs polybrominated diphenyl ethers phthalates and per-fluorooctanoic acid) was well documented Moreover other silent pol-lutants originate in the pharmaceutical industry eg antibiotics(Marathe et al 2017) and hormones They end up in a large variety ofecosystems in a diluted but still active form Finally plastics (egpolycarbonate polystyrene polyethylene terephthalate lowhigh-density polyethylene polypropylene and polyvinyl chloride) are cur-rently receiving a considerable focus as a major environmental pro-blem A number of microbial strains able to totally or partially act uponthese compounds have been isolated (see above) but in general thebiodegradation process is very slow The global nature of these types ofpollution thus requires the development of new efficient microbialpathways for their elimination quite a challenge for contemporarysynthetic biologists and metabolic engineers (de Lorenzo 2017)Butmdashas is the case for CO2 capture mentioned abovemdashpathways andhosts able to deploy them are not enough Effective strategies for globaldispersion of biodegradative activities of interest are badly nee-dedmdashperhaps inspired in gene drives or some type of self-propagatingmassive horizontal gene transfer (de Lorenzo et al 2016)

5 Conclusions and perspectives

The practical examples described in the preceding sections showthat technologies of systemic biology offer promise not only for therenaissance of bioremediation using anthropogenically enhanced mi-crobial degraders but also for entry to the new era of Bioremediation30 The bottlenecks described at the beginning of this text are one byone being released or removed with the help of new computational andexperimental tools Databases and pathway prediction systems help the

user to select suitable chemically and energetically feasible traits fordesired tasks Multi-omic analyses provide valuable information thatfacilitates choice of a suitable host Genome-scale and kinetic modelsapplied hand-in-hand with genetic engineering techniques enable tai-loring of gene expression reduction of metabolic burden and pathwayoptimization in the context of host metabolism The visionary conceptsof synthetic biology and global scale CO2 bioremediation open up newdimensions for engineering microbial degraders General work schemesand standards for design building and fine-tuning of selected bio-chemical routes networks and whole-cell biocatalysts are simulta-neously becoming better defined and accepted by the community

Despite the clear progress over the last decade of biochemical andbiological engineering the vast complexity of the living cell remainsthe major hurdle for any attempt for fully rational pathway design Inthe case of biosensing and biodegradation pathway design and pro-spective applications of the genetically-modified microbes this problemis exacerbated by the complexity of intercellular and interspecific in-teractions and by the still poorly understood interplay between thebiotic and abiotic factors that govern contaminant biodegradation inpolluted ecosystems (de Lorenzo 2008 Meckenstock et al 2015) Weassume that in principle there are two ways to address this challengenow and in future

The first admits that complexity of biological systems will not beresolved anytime soon and thus bets on combining rational designs withnatural evolution at the end of the DBTA cycle thus expanding it toDBTAE (Design-Build-Test-Analyze-Evolve) Adaptive laboratory evo-lution (ALE) is a high calibre tool of this approach ALE is now frequentlyused by academic and industrial laboratories to evolve desired prop-erties in environmental bacteria and for fine-tuning recombinant mi-croorganisms but its principles have been well known since the time ofthe very first attempts to modify microbial phenotypes (Kellogg et al

Fig 7 Hemiautotrophic growth of engineered E coli al-lowed by decoupling energy production and carbon fixa-tion The hemiautotrophic growth was observed after per-forming three distinct steps (i) Calvin-Benson-Bassham(CBB) cycle for the biosynthesis of sugars from CO2 wascompleted by introducing only two exogenous enzymaticactivities phosphoribulokinase (prkA) and RuBisCO (ii)phosphoglycerate mutase genes gpmA and gpmM were de-leted to separate central metabolism into two sub-systemsie a CO2-fixing part that included PrkA RuBisCO upperglycolysis and the pentose phosphate pathway and an en-ergy-supplying module that employed lower glycolysis andthe TCA cycle (iii) the engineered strain bearing furthermutations (ΔpfkA ΔpfkB Δzwf) was exposed to the strongselective pressure towards greater carbon fixation in xylose-limited chemostat with a surplus pyruvate and CO2Emerged mutations made designed CBB cycle functionaland the hemiautotrophic strain that replaced utilisation ofxylose with CO2 fixation dominated the populationFigure adapted from Antonovsky et al (2016)

P Dvořaacutek et al Biotechnology Advances 35 (2017) 845ndash866

860

1981) In biodegradation research exposing microorganisms with de-sirable catabolic traits to the target chemical(s) for prolonged intervalsin chemostat or shaken-flask cultures enabled isolation of bacteria ableto use persistent compounds such as 245-trichlorophenoxyacetic acid(the defoliating Agent Orange) or helped improve atrazine degradationrates by Pseudomonas sp ADP or 24-dichlorophenoxyacetic by Ral-stonia sp TFD41 (Devers et al 2008 Kellogg et al 1981 Nakatsuet al 1998) Nonetheless the potential of ALE in engineering microbialdegraders has yet not been fully exploited ALE will be an ideal tool forempowering rationally pre-designed recombinants with resistance todiverse environmental stresses encountered in directed biodegradationprocesses or in polluted ecosystems (Nicolaou et al 2010 Oide et al2015 Wang et al 2016) When combined with whole-genome se-quencing and reverse engineering ALE as an evolutionary ldquoblindrdquo ap-proach can paradoxically contribute to further rationalizing the field byexposing otherwise unpredictable complex changes in multitrait phe-notypes

The second approach bets on technology without compromise andwill take advantage of continuing technological revolution in biologyand related sciences We recently witnessed the attempt of syntheticbiologists to implement automation as we know it from electronic en-gineering in the design of orthogonal genetic circuits that would co-ordinate the actions of selected microbial chassis (Nielsen et al 2016)The genetic ldquogutsrdquo and pathway enzymes of the chassis can be designedand synthesized de novo or be tailored rapidly with surgical precisionusing new genome editing and protein engineering tools (Huang et al2016 Hutchison et al 2016 Nyerges et al 2016 Ran et al 2013Renata et al 2015) Although the circuit design tools still work pre-dominantly with simple logic gates the robustness and utility of theavailable minimal cells is limited and de novo-designed enzymes havelow activity we can assume that the efficiency reliability and timedemand of such exercises will be further improved by progress incomputer science and artificial intelligence development that couldcrack the complexity of life A purely technological approach wouldomit any unknowns from the DBTA cycle with help of reliable com-putational simulations thus expanding it to DSBTA (Design-Simulate-Build-Test-Analyze) and providing space for construction of whole-cellcatalysts perfectly tailored for specific biodegradation tasks

The challenges of both approaches applied to directed in situ bior-emediation encompass the development of test schemes that will ex-pose engineered organisms to mimicked environmental conditions in-cluding limiting carbon sources lack of oxygen or redox recycling masstransfer perturbations or interspecific predation (Meckenstock et al2015) A critical issue will be the choice and establishment of newchassis organisms better suited to field biotransformations than thecurrently available laboratory strains in terms of resistance to harshconditions including extreme pH temperature osmotic pressure orfluctuating concentrations of toxic chemicals (Adams 2016) Thesenew strains must simultaneously be reliable amenable to genetic ma-nipulation have mapped genomes and ideally metabolic models athand The in situ bioremediation quests will be complicated by thevarying nature of polluting compounds their mixtures and transfor-mation products all of which can be present at a single site (Sarigiannisand Hansen 2012) Future microbial degraders must therefore be de-signed to cope with several problem compounds in parallel and notonly in terms of degradation or mineralization The succesful conver-sion of dangerous contaminants into usable molecules that can be fur-ther valorized by whole-cell or cell-free biocatalysts is a desirablestarting point for the development of new technologies that extendstandard concepts of biodegradation and bioremediation (Dvorak et al2014a Wigginton et al 2012) Microbe-driven trash-to-treasure con-versions are known from established biomass valorization processesbut this concept can also be implemented in wastewater treatmentmetal and plastic recycling or in direct valorization of industrial by-product streams or captured greenhouse gases (Bornscheuer 2016Koutinas et al 2014 Nancharaiah et al 2016 Wierckx et al 2015)

Even so the major challenge to the entire field of engineered de-graders is not related to continued progress in the development of im-proved technologies which is inevitable but rather to the dissemina-tion and popularization of achievements already attained Publicenvironmental concerns and regulatory constraints have not just re-stricted field tests of genetically modified microbes but also affect thequality of fundamental research and by the same token overall pro-gress in the field The exercises described in this review will only have achance to become real enterprises if the general population is inspiredby biotechnology and accepts it as an inseparable part of our dailyroutine as it did for information technology The new systemic dis-ciplines that make life less puzzling as well as emerging do-it-yourselfmovement in biotechnology can undoubtedly contribute to a generalchange of attitude (de Lorenzo and Schmidt 2017) Such change isvital because our ability to minimize production of waste and pollutingchemicals remove existing waste or use it in bioprocesses to formvalue-added compounds will shape the fate of our society on a globalscale

Acknowledgements

PD is the holder of the Marie Sklodowska-Curie grant No 704410(FUTURE) The work in Authors Laboratory was funded by theCAMBIOS Project of the Spanish Ministry of Economy andCompetitiveness RTC-2014-1777-3 (MINECO) HELIOS Project of theSpanish Ministry of Economy and Competitiveness BIO 2015-66960-C3-2-R (MINECOFEDER) and the ARISYS (ERC-2012-ADG-322797)EmPowerPutida (EU-H2020-BIOTEC-2014-2015-6335536) andRaft4Biotech (720776) contracts of the European Union JD is sup-ported also by the Czech Ministry of Education (LQ1605 LO1214LM2015055) and Czech Grant Agency (GA16-06096S) The financialsupport of The Novo Nordisk Foundation to PIN is also gratefully ac-knowledged

References

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Chowdhury A Zomorrodi AR Maranas CD 2014 k-OptForce integrating kineticswith flux balance analysis for strain design PLoS Comput Biol 10 e1003487 httpdxdoiorg101371journalpcbi1003487

Chowdhury A Khodayari A Maranas CD 2015 Improving prediction fidelity ofcellular metabolism with kinetic descriptions Curr Opin Biotechnol 36 57ndash64httpdxdoiorg101016jcopbio201508011

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Dai Z Nielsen J 2015 Advancing metabolic engineering through systems biology ofindustrial microorganisms Curr Opin Biotechnol 36 8ndash15 httpdxdoiorg101016jcopbio201508006

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de la Pentildea Mattozzi M Tehara SK Hong T Keasling JD 2006 Mineralization ofparaoxon and its use as a sole C and P source by a rationally designed catabolicpathway in Pseudomonas putida Appl Environ Microbiol 72 6699ndash6706 httpdxdoiorg101128AEM00907-06

de Lorenzo V 2008 Systems biology approaches to bioremediation Curr OpinBiotechnol 19 579ndash589 httpdxdoiorg101016jcopbio200810004

de Lorenzo V 2009 Recombinant bacteria for environmental release what went wrongand what we have learnt from it Clin Microbiol Infect 15 (Suppl 1) 63ndash65 httpdxdoiorg101111j1469-0691200802683x

de Lorenzo V 2017 Seven microbial bio-processes to help the planet EnvironMicrobiol httponlinelibrarywileycomdoi1011111751-791512816full

de Lorenzo V Danchin A 2008 Synthetic biology discovering new worlds and newwords EMBO Rep 9 822ndash827 httpdxdoiorg101038embor2008159

de Lorenzo V Schmidt M 2017 The do-it-yourself movement as a source of innovationin biotechnology - and much more Microb Biotechnol 10 517ndash519 httpdxdoiorg1011111751-791512715

de Lorenzo V Marliegravere P Soleacute R 2016 Bioremediation at a global scale from the testtube to planet Earth Microb Biotechnol 9 618ndash625 httpdxdoiorg1011111751-791512399

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Doumlrr M Fibinger MPC Last D Schmidt S Santos-Aberturas J Boumlttcher DHummel A Vickers C Voss M Bornscheuer UT 2016 Fully automatized high-throughput enzyme library screening using a robotic platform Biotechnol Bioeng113 1421ndash1432 httpdxdoiorg101002bit25925

Dvorak P Bidmanova S Damborsky J Prokop Z 2014a Immobilized syntheticpathway for biodegradation of toxic recalcitrant pollutant 123-trichloropropaneEnviron Sci Technol 48 6859ndash6866 httpdxdoiorg101021es500396r

Dvorak P Kurumbang NP Bendl J Brezovsky J Prokop Z Damborsky J 2014bMaximizing the efficiency of multienzyme process by stoichiometry optimizationChembiochem Eur J Chem Biol 15 1891ndash1895 httpdxdoiorg101002cbic201402265

Dvorak P Chrast L Nikel PI Fedr R Soucek K Sedlackova M Chaloupkova Rde Lorenzo V Prokop Z Damborsky J 2015 Exacerbation of substrate toxicity byIPTG in Escherichia coli BL21(DE3) carrying a synthetic metabolic pathway MicrobCell Factories 14 201 httpdxdoiorg101186s12934-015-0393-3

Ebenau-Jehle C Mergelsberg M Fischer S Bruumlls T Jehmlich N von Bergen MBoll M 2017 An unusual strategy for the anoxic biodegradation of phthalate ISMEJ 11 224ndash236 httpdxdoiorg101038ismej201691

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2003 Methods for reliability and uncertainty assessment and for applicability eva-luations of classification- and regression-based QSARs Environ Health Perspect 1111361ndash1375

Escalante AE Rebolleda-Goacutemez M Beniacutetez M Travisano M 2015 Ecological per-spectives on synthetic biology insights from microbial population biology FrontMicrobiol 6 143 httpdxdoiorg103389fmicb201500143

Fernaacutendez-Aacutelvaro E Snajdrova R Jochens H Davids T Boumlttcher D BornscheuerUT 2011 A combination of in vivo selection and cell sorting for the identification ofenantioselective biocatalysts Angew Chem Int Ed Eng 50 8584ndash8587 httpdxdoiorg101002anie201102360

Fibinger MPC Davids T Boumlttcher D Bornscheuer UT 2015 A selection assay forhaloalkane dehalogenase activity based on toxic substrates Appl MicrobiolBiotechnol 99 8955ndash8962 httpdxdoiorg101007s00253-015-6686-y

Finley SD Broadbelt LJ Hatzimanikatis V 2009 Computational framework forpredictive biodegradation Biotechnol Bioeng 104 1086ndash1097 httpdxdoiorg101002bit22489

Finley SD Broadbelt LJ Hatzimanikatis V 2010 In silico feasibility of novel bio-degradation pathways for 124-trichlorobenzene BMC Syst Biol 4 7 httpdxdoiorg1011861752-0509-4-7

Francis CW Mankin JB 1977 High nitrate denitrification in continuous flow-stirredreactors Water Res 11 httpdxdoiorg1010160043-1354(77)90061-6

Fuchs G 2011 Alternative pathways of carbon dioxide fixation insights into the earlyevolution of life Annu Rev Microbiol 65 631ndash658 httpdxdoiorg101146annurev-micro-090110-102801

Gao J Ellis LBM Wackett LP 2010 The University of Minnesota BiocatalysisBiodegradation Database improving public access Nucleic Acids Res 38 D488ndash491httpdxdoiorg101093nargkp771

Gao F Ding H Feng Z Liu D Zhao Y 2014 Functional display of triphenylmethanereductase for dye removal on the surface of Escherichia coli using N-terminal domainof ice nucleation protein Bioresour Technol 169 181ndash187 httpdxdoiorg101016jbiortech201406093

Geueke B Garg N Ghosh S Fleischmann T Holliger C Lal R Kohler H-PE2013 Metabolomics of hexachlorocyclohexane (HCH) transformation ratio of LinAto LinB determines metabolic fate of HCH isomers Environ Microbiol 151040ndash1049 httpdxdoiorg1011111462-292012009

Gilbert ES Walker AW Keasling JD 2003 A constructed microbial consortium forbiodegradation of the organophosphorus insecticide parathion Appl MicrobiolBiotechnol 61 77ndash81 httpdxdoiorg101007s00253-002-1203-5

Glass JI Assad-Garcia N Alperovich N Yooseph S Lewis MR Maruf MHutchison CA Smith HO Venter JC 2006 Essential genes of a minimal bac-terium Proc Natl Acad Sci U S A 103 425ndash430 httpdxdoiorg101073pnas0510013103

Glick BR 1995 Metabolic load and heterologous gene expression Biotechnol Adv 13247ndash261

Guazzaroni M-E Herbst F-A Lores I Tamames J Pelaacuteez AI Loacutepez-Corteacutes NAlcaide M Del Pozo MV Vieites JM von Bergen M Gallego JLR BargielaR Loacutepez-Loacutepez A Pieper DH Rosselloacute-Moacutera R Saacutenchez J Seifert J FerrerM 2013 Metaproteogenomic insights beyond bacterial response to naphthaleneexposure and bio-stimulation ISME J 7 122ndash136 httpdxdoiorg101038ismej201282

Gredell JA Frei CS Cirino PC 2012 Protein and RNA engineering to customizemicrobial molecular reporting Biotechnol J 7 477ndash499 httponlinelibrarywileycomdoi101002biot201100266full

Gutierrez T Singleton DR Berry D Yang T Aitken MD Teske A 2013Hydrocarbon-degrading bacteria enriched by the Deepwater Horizon oil spill iden-tified by cultivation and DNA-SIP ISME J 7 2091ndash2104 httpdxdoiorg101038ismej201398

Hadadi N Hafner J Shajkofci A Zisaki A Hatzimanikatis V 2016 ATLAS ofbiochemistry a repository of all possible biochemical reactions for synthetic biologyand metabolic engineering studies ACS Synth Biol 5 1155ndash1166 httpdxdoiorg101021acssynbio6b00054

Haro MA de Lorenzo V 2001 Metabolic engineering of bacteria for environmentalapplications construction of Pseudomonas strains for biodegradation of 2-chlor-otoluene J Biotechnol 85 103ndash113

Hatzimanikatis V Li C Ionita JA Henry CS Jankowski MD Broadbelt LJ2005 Exploring the diversity of complex metabolic networks Bioinforma Oxf Engl21 1603ndash1609 httpdxdoiorg101093bioinformaticsbti213

He W Yuan S Zhong W-H Siddikee MA Dai C-C 2016 Application of geneti-cally engineered microbial whole-cell biosensors for combined chemosensing ApplMicrobiol Biotechnol 100 1109ndash1119 httpdxdoiorg101007s00253-015-7160-6

Hennig S Roumldel G Ostermann K 2015 Artificial cell-cell communication as anemerging tool in synthetic biology applications J Biol Eng 9 13 httpdxdoiorg101186s13036-015-0011-2

Hicks N Vik U Taylor P Ladoukakis E Park J Kolisis F Jakobsen KS 2017Using prokaryotes for carbon capture storage Trends Biotechnol 35 22ndash32 httpdxdoiorg101016jtibtech201606011

Hodgman CE Jewett MC 2012 Cell-free synthetic biology thinking outside the cellMetab Eng 14 261ndash269 httpdxdoiorg101016jymben201109002

Huang P-S Boyken SE Baker D 2016 The coming of age of de novo protein designNature 537 320ndash327 httpdxdoiorg101038nature19946

Hutchison CA Chuang R-Y Noskov VN Assad-Garcia N Deerinck TJ EllismanMH Gill J Kannan K Karas BJ Ma L Pelletier JF Qi Z-Q Richter RAStrychalski EA Sun L Suzuki Y Tsvetanova B Wise KS Smith HO GlassJI Merryman C Gibson DG Venter JC 2016 Design and synthesis of aminimal bacterial genome Science 351 aad6253 httpdxdoiorg101126

scienceaad6253Iwakiri R Yoshihira K Ngadiman Null Futagami T Goto M Furukawa K 2004

Total degradation of pentachloroethane by an engineered Alcaligenes strain expres-sing a modified camphor monooxygenase and a hybrid dioxygenase BiosciBiotechnol Biochem 68 1353ndash1356 httpdxdoiorg101271bbb681353

Izallalen M Mahadevan R Burgard A Postier B Didonato R Sun J SchillingCH Lovley DR 2008 Geobacter sulfurreducens strain engineered for increasedrates of respiration Metab Eng 10 267ndash275 httpdxdoiorg101016jymben200806005

Janssen DB Dinkla IJT Poelarends GJ Terpstra P 2005 Bacterial degradation ofxenobiotic compounds evolution and distribution of novel enzyme activitiesEnviron Microbiol 7 1868ndash1882 httpdxdoiorg101111j1462-2920200500966x

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Karig DK 2017 Cell-free synthetic biology for environmental sensing and remediationCurr Opin Biotechnol 45 69ndash75 httpdxdoiorg101016jcopbio201701010

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Khersonsky O Tawfik DS 2010 Enzyme promiscuity a mechanistic and evolutionaryperspective Annu Rev Biochem 79 471ndash505 httpdxdoiorg101146annurev-biochem-030409-143718

Kim J Copley SD 2012 Inhibitory cross-talk upon introduction of a new metabolicpathway into an existing metabolic network Proc Natl Acad Sci U S A 109E2856ndash2864 httpdxdoiorg101073pnas1208509109

Kim S Baek S-H Lee K Hahn J-S 2013a Cellulosic ethanol production using ayeast consortium displaying a minicellulosome and β-glucosidase Microb CellFactories 12 14 httpdxdoiorg1011861475-2859-12-14

Kim J Oliveros JC Nikel PI de Lorenzo V Silva-Rocha R 2013b Transcriptomicfingerprinting of Pseudomonas putida under alternative physiological regimesEnviron Microbiol Rep 5 883ndash891 httpdxdoiorg1011111758-222912090

Kim S Thiessen PA Bolton EE Chen J Fu G Gindulyte A Han L He J He SShoemaker BA Wang J Yu B Zhang J Bryant SH 2016 PubChem substanceand compound databases Nucleic Acids Res 44 D1202ndash1213 httpdxdoiorg101093nargkv951

King ZA Lloyd CJ Feist AM Palsson BO 2015 Next-generation genome-scalemodels for metabolic engineering Curr Opin Biotechnol 35 23ndash29 httpdxdoiorg101016jcopbio201412016

Kleinstiver BP Pattanayak V Prew MS Tsai SQ Nguyen NT Zheng Z JoungJK 2016 High-fidelity CRISPR-Cas9 nucleases with no detectable genome-wide off-target effects Nature 529 490ndash495 httpdxdoiorg101038nature16526

Kosuri S Church GM 2014 Large-scale de novo DNA synthesis technologies andapplications Nat Methods 11 499ndash507 httpdxdoiorg101038nmeth2918

Koutinas AA Vlysidis A Pleissner D Kopsahelis N Lopez Garcia I Kookos IKPapanikolaou S Kwan TH Lin CSK 2014 Valorization of industrial waste andby-product streams via fermentation for the production of chemicals and biopoly-mers Chem Soc Rev 43 2587ndash2627 httpdxdoiorg101039c3cs60293a

Krewski D Andersen ME Mantus E Zeise L 2009 Toxicity testing in the 21stcentury implications for human health risk assessment Risk Anal 29 474ndash479httpdxdoiorg101111j1539-6924200801150x

Kube M Chernikova TN Al-Ramahi Y Beloqui A Lopez-Cortez N Guazzaroni M-E Heipieper HJ Klages S Kotsyurbenko OR Langer I Nechitaylo TYLuumlnsdorf H Fernaacutendez M Juaacuterez S Ciordia S Singer A Kagan O Egorova OPetit PA Stogios P Kim Y Tchigvintsev A Flick R Denaro R Genovese MAlbar JP Reva ON Martiacutenez-Gomariz M Tran H Ferrer M Savchenko AYakunin AF Yakimov MM Golyshina OV Reinhardt R Golyshin PN 2013Genome sequence and functional genomic analysis of the oil-degrading bacteriumOleispira antarctica Nat Commun 4 2156 httpdxdoiorg101038ncomms3156

Kuipers RK Joosten H-J van Berkel WJH Leferink NGH Rooijen E IttmannE van Zimmeren F Jochens H Bornscheuer U Vriend G dos Santos VAPMSchaap PJ 2010 3DM systematic analysis of heterogeneous superfamily data todiscover protein functionalities Proteins 78 2101ndash2113 httpdxdoiorg101002prot22725

Kurumbang NP Dvorak P Bendl J Brezovsky J Prokop Z Damborsky J 2014Computer-assisted engineering of the synthetic pathway for biodegradation of a toxicpersistent pollutant ACS Synth Biol 3 172ndash181 httpdxdoiorg101021sb400147n

Latino DARS Wicker J Guumltlein M Schmid E Kramer S Fenner K 2017 Eawag-Soil in enviPath a new resource for exploring regulatory pesticide soil biodegrada-tion pathways and half-life data Environ Sci Processes Impacts 19 449ndash464httpdxdoiorg101039c6em00697c

Lee J Cao L Ow SY Barrios-Llerena ME Chen W Wood TK Wright PC 2006Proteome changes after metabolic engineering to enhance aerobic mineralization ofcis‑12-dichloroethylene J Proteome Res 5 1388ndash1397 httpdxdoiorg101021pr060008t

Lee JW Na D Park JM Lee J Choi S Lee SY 2012 Systems metabolic en-gineering of microorganisms for natural and non-natural chemicals Nat Chem Biol8 536ndash546 httpdxdoiorg101038nchembio970

Lehrbach PR Zeyer J Reineke W Knackmuss HJ Timmis KN 1984 Enzymerecruitment in vitro use of cloned genes to extend the range of haloaromatics de-graded by Pseudomonas sp strain B13 J Bacteriol 158 1025ndash1032

Li G-Q Ma T Li S-S Li H Liang F-L Liu R-L 2007 Improvement of di-benzothiophene desulfurization activity by removing the gene overlap in the dsz

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863

operon Biosci Biotechnol Biochem 71 849ndash854 httpdxdoiorg101271bbb60189

Li Z Yoshida N Wang A Nan J Liang B Zhang C Zhang D Suzuki D Zhou XXiao Z Katayama A 2015 Anaerobic mineralization of 246-tribromophenol toCO2 by a synthetic microbial community comprising Clostridium Dehalobacter andDesulfatiglans Bioresour Technol 176 225ndash232 httpdxdoiorg101016jbiortech201410097

Libis V Deleacutepine B Faulon J-L 2016 Expanding biosensing abilities through com-puter-aided design of metabolic pathways ACS Synth Biol 5 1076ndash1085 httpdxdoiorg101021acssynbio5b00225

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Liu J Tan L Wang J Wang Z Ni H Li L 2016 Complete biodegradation ofchlorpyrifos by engineered Pseudomonas putida cells expressing surface-immobilizedlaccases Chemosphere 157 200ndash207 httpdxdoiorg101016jchemosphere201605031

Loeschcke A Markert A Wilhelm S Wirtz A Rosenau F Jaeger K-E Drepper T2013 TREX a universal tool for the transfer and expression of biosynthetic pathwaysin bacteria ACS Synth Biol 2 22ndash33 httpdxdoiorg101021sb3000657

Long MR Ong WK Reed JL 2015 Computational methods in metabolic en-gineering for strain design Curr Opin Biotechnol 34 135ndash141 httpdxdoiorg101016jcopbio201412019

Lorenzo V Loza-Tavera H 2011 Microbial bioremediation of chemical pollutants howbacteria cope with multi-stress environmental scenarios In Storz G Hengge R(Eds) Bacterial Stress Responses Second edition ASM Press Washington DC pp481ndash492 httpdxdoiorg1011289781555816841ch30

Lovley DR Phillips EJP Gorby YA Landa ER 1991 Microbial reduction of ur-anium Nature 350 413ndash416 httpdxdoiorg101038350413a0

Lykidis A Peacuterez-Pantoja D Ledger T Mavromatis K Anderson IJ Ivanova NNHooper SD Lapidus A Lucas S Gonzaacutelez B Kyrpides NC 2010 The completemultipartite genome sequence of Cupriavidus necator JMP134 a versatile pollutantdegrader PLoS One 5 e9729 httpdxdoiorg101371journalpone0009729

Marathe NP Pal C Gaikwad SS Jonsson V Kristiansson E Larsson DGJ 2017Untreated urban waste contaminates Indian river sediments with resistance genes tolast resort antibiotics Water Res 124 388ndash397 httpdxdoiorg101016jwatres201707060

Martiacutenez I Mohamed ME-S Rozas D Garciacutea JL Diacuteaz E 2016 Engineering syn-thetic bacterial consortia for enhanced desulfurization and revalorization of oil sulfurcompounds Metab Eng 35 46ndash54 httpdxdoiorg101016jymben201601005

Martiacutenez-Garciacutea E de Lorenzo V 2012 Transposon-based and plasmid-based genetictools for editing genomes of gram-negative bacteria Methods Mol Biol 813267ndash283 (Clifton NJ) httpdxdoiorg101007978-1-61779-412-4_16

Martiacutenez-Garciacutea E de Lorenzo V 2016 The quest for the minimal bacterial genomeCurr Opin Biotechnol 42 216ndash224 httpdxdoiorg101016jcopbio201609001

Martiacutenez-Garciacutea E Aparicio T de Lorenzo V Nikel PI 2014a New transposon toolstailored for metabolic engineering of gram-negative microbial cell factories FrontBioeng Biotechnol 2 46 httpdxdoiorg103389fbioe201400046

Martiacutenez-Garciacutea E Nikel PI Aparicio T de Lorenzo V 2014b Pseudomonas 20genetic upgrading of P putida KT2440 as an enhanced host for heterologous geneexpression Microb Cell Factories 13 159 httpdxdoiorg101186s12934-014-0159-3

Martiacutenez-Garciacutea E Aparicio T Gontildei-Moreno A Fraile S de Lorenzo V 2015 SEVA20 an update of the Standard European Vector Architecture for de-re-constructionof bacterial functionalities Nucleic Acids Res 43 D1183ndash1189 httpdxdoiorg101093nargku1114

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Medema MH van Raaphorst R Takano E Breitling R 2012 Computational tools forthe synthetic design of biochemical pathways Nat Rev Microbiol 10 191ndash202httpdxdoiorg101038nrmicro2717

Mendes P Hoops S Sahle S Gauges R Dada J Kummer U 2009 Computationalmodeling of biochemical networks using COPASI Methods Mol Biol 500 17ndash59(Clifton NJ) httpdxdoiorg101007978-1-59745-525-1_2

Minty JJ Singer ME Scholz SA Bae C-H Ahn J-H Foster CE Liao JC LinXN 2013 Design and characterization of synthetic fungal-bacterial consortia fordirect production of isobutanol from cellulosic biomass Proc Natl Acad Sci U S A110 14592ndash14597 httpdxdoiorg101073pnas1218447110

Moraiumls S Shterzer N Lamed R Bayer EA Mizrahi I 2014 A combined cell-con-sortium approach for lignocellulose degradation by specialized Lactobacillus plan-tarum cells Biotechnol Biofuels 7 112 httpdxdoiorg1011861754-6834-7-112

Morgat A Axelsen KB Lombardot T Alcaacutentara R Aimo L Zerara M Niknejad A

Belda E Hyka-Nouspikel N Coudert E Redaschi N Bougueleret L SteinbeckC Xenarios I Bridge A 2015 Updates in Rheamdasha manually curated resource ofbiochemical reactions Nucleic Acids Res 43 D459ndash464 httpdxdoiorg101093nargku961

Mulbry W Ahrens E Karns J 1998 Use of a field-scale biofilter for the degradation ofthe organophosphate insecticide coumaphos in cattle dip wastes Pestic Sci 52268ndash274 httpdxdoiorg101002(SICI)1096-9063(199803)523lt268AID-PS719gt30CO2-2

Muschiol J Peters C Oberleitner N Mihovilovic MD Bornscheuer UT Rudroff F2015 Cascade catalysismdashstrategies and challenges en route to preparative syntheticbiology Chem Commun (Camb) 51 5798ndash5811 httpdxdoiorg101039c4cc08752f

Mutlu BR Yeom S Wackett L Aksan A 2015 Modelling and optimization of abioremediation system utilizing silica gel encapsulated whole-cell biocatalyst ChemEng J 259 574ndash580 httpdxdoiorg101016jcej201407130

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Nancharaiah YV Mohan SV Lens PNL 2016 Biological and bioelectrochemicalrecovery of critical and scarce metals Trends Biotechnol 34 137ndash155 httpdxdoiorg101016jtibtech201511003

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Nicolaou SA Gaida SM Papoutsakis ET 2010 A comparative view of metaboliteand substrate stress and tolerance in microbial bioprocessing from biofuels andchemicals to biocatalysis and bioremediation Metab Eng 12 307ndash331 httpdxdoiorg101016jymben201003004

Nielsen J Fussenegger M Keasling J Lee SY Liao JC Prather K Palsson B2014 Engineering synergy in biotechnology Nat Chem Biol 10 319ndash322 httpdxdoiorg101038nchembio1519

Nielsen AAK Der BS Shin J Vaidyanathan P Paralanov V Strychalski EARoss D Densmore D Voigt CA 2016 Genetic circuit design automation Science352 aac7341 httpdxdoiorg101126scienceaac7341

Nikel PI de Lorenzo V 2013 Engineering an anaerobic metabolic regime inPseudomonas putida KT2440 for the anoxic biodegradation of 13-dichloroprop-1-eneMetab Eng 15 98ndash112 httpdxdoiorg101016jymben201209006

Nikel PI Peacuterez-Pantoja D de Lorenzo V 2013 Why are chlorinated pollutants sodifficult to degrade aerobically Redox stress limits 13-dichloroprop-1-ene metabo-lism by Pseudomonas pavonaceae Philos Trans R Soc Lond Ser B Biol Sci 36820120377 httpdxdoiorg101098rstb20120377

Nikel PI Martiacutenez-Garciacutea E de Lorenzo V 2014 Biotechnological domestication ofpseudomonads using synthetic biology Nat Rev Microbiol 12 368ndash379 httpdxdoiorg101038nrmicro3253

Nikel PI Chavarriacutea M Fuhrer T Sauer U de Lorenzo V 2015 Pseudomonas putidaKT2440 strain metabolizes glucose through a cycle formed by enzymes of the Entner-Doudoroff Embden-Meyerhof-Parnas and pentose phosphate pathways J BiolChem 290 25920ndash25932 httpdxdoiorg101074jbcM115687749

Nikel PI Chavarriacutea M Danchin A de Lorenzo V 2016a From dirt to industrialapplications Pseudomonas putida as a synthetic biology chassis for hosting harshbiochemical reactions Curr Opin Chem Biol 34 20ndash29 httpdxdoiorg101016jcbpa201605011

Nikel PI Peacuterez-Pantoja D de Lorenzo V 2016b Pyridine nucleotide transhy-drogenases enable redox balance of Pseudomonas putida during biodegradation ofaromatic compounds Environ Microbiol 18 3565ndash3582 httpdxdoiorg1011111462-292013434

Nyerges Aacute Csoumlrgő B Nagy I Baacutelint B Bihari P Laacutezaacuter V Apjok G UmenhofferK Bogos B Poacutesfai G Paacutel C 2016 A highly precise and portable genome en-gineering method allows comparison of mutational effects across bacterial speciesProc Natl Acad Sci U S A 113 2502ndash2507 httpdxdoiorg101073pnas1520040113

Ohtsubo Y Maruyama F Mitsui H Nagata Y Tsuda M 2012 Complete genomesequence of Acidovorax sp strain KKS102 a polychlorinated-biphenyl degrader JBacteriol 194 6970ndash6971 httpdxdoiorg101128JB01848-12

Oide S Gunji W Moteki Y Yamamoto S Suda M Jojima T Yukawa H Inui M2015 Thermal and solvent stress cross-tolerance conferred to Corynebacterium glu-tamicum by adaptive laboratory evolution Appl Environ Microbiol 81 2284ndash2298httpdxdoiorg101128AEM03973-14

Oosterkamp MJ Veuskens T Talarico Saia F Weelink SAB Goodwin LADaligault HE Bruce DC Detter JC Tapia R Han CS Land ML Hauser LJLangenhoff AAM Gerritse J van Berkel WJH Pieper DH Junca H SmidtH Schraa G Davids M Schaap PJ Plugge CM Stams AJM 2013 Genomeanalysis and physiological comparison of Alicycliphilus denitrificans strains BC andK601(T) PLoS One 8 e66971 httpdxdoiorg101371journalpone0066971

Paddon CJ Keasling JD 2014 Semi-synthetic artemisinin a model for the use ofsynthetic biology in pharmaceutical development Nat Rev Microbiol 12 355ndash367httpdxdoiorg101038nrmicro3240

Parales RE Ditty JL 2005 Laboratory evolution of catabolic enzymes and pathwaysCurr Opin Biotechnol 16 315ndash325 httpdxdoiorg101016jcopbio200503008

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Pascual J Udaondo Z Molina L Segura A Esteve-Nuacutentildeez A Caballero A DuqueE Ramos JL van Dillewijn P 2015 Draft genome sequence of Pseudomonas putidaJLR11 a facultative anaerobic 246-trinitrotoluene biotransforming bacteriumGenome Announc 3 httpdxdoiorg101128genomeA00904-15

Patil VV Park K-H Lee S-G Woo E 2016 Structural analysis of the phenol-re-sponsive sensory domain of the transcription activator PoxR Structure 1993 (24)624ndash630 (Lond Engl) httpdxdoiorg101016jstr201603006

Patowary K Patowary R Kalita MC Deka S 2016 Development of an efficientbacterial consortium for the potential remediation of hydrocarbons from con-taminated sites Front Microbiol 7 1092 httpdxdoiorg103389fmicb201601092

Paul D Pandey G Jain RK 2005 Suicidal genetically engineered microorganisms forbioremediation need and perspectives Bioessays 27 563ndash573 httpdxdoiorg101002bies20220

Pavlova M Klvana M Prokop Z Chaloupkova R Banas P Otyepka M Wade RCTsuda M Nagata Y Damborsky J 2009 Redesigning dehalogenase access tunnelsas a strategy for degrading an anthropogenic substrate Nat Chem Biol 5 727ndash733httpdxdoiorg101038nchembio205

Petrie B Barden R Kasprzyk-Hordern B 2015 A review on emerging contaminants inwastewaters and the environment current knowledge understudied areas and re-commendations for future monitoring In Water Res Occurrence Fate Removal andAssessment of Emerging Contaminants in Water in the Water Cycle (FromWastewater to Drinking Water) 72 pp 3ndash27 httpdxdoiorg101016jwatres201408053

Planson A-G Carbonell P Paillard E Pollet N Faulon J-L 2012 Compoundtoxicity screening and structure-activity relationship modeling in Escherichia coliBiotechnol Bioeng 109 846ndash850 httpdxdoiorg101002bit24356

Puchałka J Oberhardt MA Godinho M Bielecka A Regenhardt D Timmis KNPapin JA Martins dos Santos VAP 2008 Genome-scale reconstruction andanalysis of the Pseudomonas putida KT2440 metabolic network facilitates applicationsin biotechnology PLoS Comput Biol 4 e1000210 httpdxdoiorg101371journalpcbi1000210

Ramos JL Wasserfallen A Rose K Timmis KN 1987 Redesigning metabolicroutes manipulation of TOL plasmid pathway for catabolism of alkylbenzoatesScience 235 593ndash596

Ramos J-L Marqueacutes S van Dillewijn P Espinosa-Urgel M Segura A Duque EKrell T Ramos-Gonzaacutelez M-I Bursakov S Roca A Solano J Fernaacutedez MNiqui JL Pizarro-Tobias P Wittich R-M 2011 Laboratory research aimed atclosing the gaps in microbial bioremediation Trends Biotechnol 29 641ndash647httpdxdoiorg101016jtibtech201106007

Ran FA Hsu PD Wright J Agarwala V Scott DA Zhang F 2013 Genome en-gineering using the CRISPR-Cas9 system Nat Protoc 8 2281ndash2308 httpdxdoiorg101038nprot2013143

Raunio H Kuusisto M Juvonen RO Pentikaumlinen OT 2015 Modeling of interac-tions between xenobiotics and cytochrome P450 (CYP) enzymes Front Pharmacol 6123 httpdxdoiorg103389fphar201500123

Ravikumar S Baylon MG Park SJ Choi J-I 2017 Engineered microbial biosensorsbased on bacterial two-component systems as synthetic biotechnology platforms inbioremediation and biorefinery Microb Cell Factories 16 62 httpdxdoiorg101186s12934-017-0675-z

Raymond RL Jamison VW Hudson JO 1975 Final Report on BeneficialStimulation of Bacterial Activity in Ground Waters Containing Petroleum ProductsSun Ventures Incorporated

Reineke W Knackmuss HJ 1979 Construction of haloaromatics utilising bacteriaNature 277 385ndash386

Renata H Wang ZJ Arnold FH 2015 Expanding the enzyme universe accessingnon-natural reactions by mechanism-guided directed evolution Angew Chem IntEd Eng 54 3351ndash3367 httpdxdoiorg101002anie201409470

Rockstroumlm J Gaffney O Rogelj J Meinshausen M Nakicenovic N SchellnhuberHJ 2017 A roadmap for rapid decarbonization Science 355 1269ndash1271 httpdxdoiorg101126scienceaah3443

Rojo F Pieper DH Engesser KH Knackmuss HJ Timmis KN 1987 Assemblageof ortho cleavage route for simultaneous degradation of chloro- and methylaromaticsScience 238 1395ndash1398

Rollin JA Martin del Campo J Myung S Sun F You C Bakovic A Castro RChandrayan SK Wu C-H Adams MWW Senger RS Zhang Y-HP 2015High-yield hydrogen production from biomass by in vitro metabolic engineeringmixed sugars coutilization and kinetic modeling Proc Natl Acad Sci U S A 1124964ndash4969 httpdxdoiorg101073pnas1417719112

Rui L Kwon YM Reardon KF Wood TK 2004 Metabolic pathway engineering toenhance aerobic degradation of chlorinated ethenes and to reduce their toxicity bycloning a novel glutathione S-transferase an evolved toluene o-monooxygenase andgamma-glutamylcysteine synthetase Environ Microbiol 6 491ndash500 httpdxdoiorg101111j1462-2920200400586x

Samin G Janssen DB 2012 Transformation and biodegradation of 123-tri-chloropropane (TCP) Environ Sci Pollut Res Int 19 3067ndash3078 httpdxdoiorg101007s11356-012-0859-3

Samin G Pavlova M Arif MI Postema CP Damborsky J Janssen DB 2014 Apseudomonas putida strain genetically engineered for 123-trichloropropane bior-emediation Appl Environ Microbiol 80 5467ndash5476 httpdxdoiorg101128AEM01620-14

Santacoloma PA Sin G Gernaey KV Woodley JM 2011 Multienzyme-catalyzedprocesses next-generation biocatalysis Org Process Res Dev 15 203ndash212 httpdxdoiorg101021op1002159

Santos CNS Yoshikuni Y 2014 Engineering complex biological systems in bacteriathrough recombinase-assisted genome engineering Nat Protoc 9 1320ndash1336

httpdxdoiorg101038nprot2014084Sarigiannis DA Hansen U 2012 Considering the cumulative risk of mixtures of

chemicals - a challenge for policy makers Environ Health 11 (Suppl 1) S18 httpdxdoiorg1011861476-069X-11-S1-S18

Schallmey M Frunzke J Eggeling L Marienhagen J 2014 Looking for the pick ofthe bunch high-throughput screening of producing microorganisms with biosensorsCurr Opin Biotechnol 26 148ndash154 httpdxdoiorg101016jcopbio201401005

Schellenberger J Que R Fleming RMT Thiele I Orth JD Feist AM ZielinskiDC Bordbar A Lewis NE Rahmanian S Kang J Hyduke DR Palsson BOslash2011 Quantitative prediction of cellular metabolism with constraint-based modelsthe COBRA Toolbox v20 Nat Protoc 6 1290ndash1307 httpdxdoiorg101038nprot2011308

Schmidt M 2010 Xenobiology a new form of life as the ultimate biosafety toolBioessays 32 322ndash331 httpdxdoiorg101002bies200900147

Schmidt M (Ed) 2012 Synthetic Biology Industrial and Environmental Applications1st edition Wiley-Blackwell

Schmidt M de Lorenzo V 2016 Synthetic bugs on the loose containment options fordeeply engineered (micro)organisms Curr Opin Biotechnol 38 90ndash96 httpdxdoiorg101016jcopbio201601006

Schwander T Schada von Borzyskowski L Burgener S Cortina NS Erb TJ 2016A synthetic pathway for the fixation of carbon dioxide in vitro Science 354 900ndash904httpdxdoiorg101126scienceaah5237

Scism RA Bachmann BO 2010 Five-component cascade synthesis of nucleotideanalogues in an engineered self-immobilized enzyme aggregate Chembiochem EurJ Chem Biol 11 67ndash70 httpdxdoiorg101002cbic200900620

Scott SR Hasty J 2016 Quorum sensing communication modules for microbialconsortia ACS Synth Biol 5 969ndash977 httpdxdoiorg101021acssynbio5b00286

Shapir N Mongodin EF Sadowsky MJ Daugherty SC Nelson KE Wackett LP2007 Evolution of catabolic pathways genomic insights into microbial s-triazinemetabolism J Bacteriol 189 674ndash682 httpdxdoiorg101128JB01257-06

Sheldon RA 2011 Characteristic features and biotechnological applications of cross-linked enzyme aggregates (CLEAs) Appl Microbiol Biotechnol 92 467ndash477 httpdxdoiorg101007s00253-011-3554-2

Shi L Dong H Reguera G Beyenal H Lu A Liu J Yu H-Q Fredrickson JK2016 Extracellular electron transfer mechanisms between microorganisms and mi-nerals Nat Rev Microbiol 14 651ndash662 httpdxdoiorg101038nrmicro201693

Si T Xiao H Zhao H 2015 Rapid prototyping of microbial cell factories via genome-scale engineering Biotechnol Adv 33 1420ndash1432 httpdxdoiorg101016jbiotechadv201411007

Silva-Rocha R de Lorenzo V 2014 Engineering multicellular logic in bacteria withmetabolic wires ACS Synth Biol 3 204ndash209 httpdxdoiorg101021sb400064y

Siu K-H Chen RP Sun Q Chen L Tsai S-L Chen W 2015 Synthetic scaffolds forpathway enhancement Curr Opin Biotechnol 36 98ndash106 httpdxdoiorg101016jcopbio201508009

Skariyachan S Manjunatha V Sultana S Jois C Bai V Vasist KS 2016 Novelbacterial consortia isolated from plastic garbage processing areas demonstrated en-hanced degradation for low density polyethylene Environ Sci Pollut Res Int 2318307ndash18319 httpdxdoiorg101007s11356-016-7000-y

Sohn SB Kim TY Park JM Lee SY 2010 In silico genome-scale metabolic ana-lysis of Pseudomonas putida KT2440 for polyhydroxyalkanoate synthesis degradationof aromatics and anaerobic survival Biotechnol J 5 739ndash750 httpdxdoiorg101002biot201000124

Stephanopoulos G 1999 Metabolic fluxes and metabolic engineering Metab Eng 11ndash11 httpdxdoiorg101006mben19980101

St-Pierre F Cui L Priest DG Endy D Dodd IB Shearwin KE 2013 One-stepcloning and chromosomal integration of DNA ACS Synth Biol 2 537ndash541 httpdxdoiorg101021sb400021j

Stucki G Thueer M 1995 Experiences of a large-scale application of 12-di-chloroethane degrading microorganisms for groundwater treatment Environ SciTechnol 29 2339ndash2345 httpdxdoiorg101021es00009a028

Takahashi K Ishikawa N Sadamoto Y Sasamoto H Ohta S Shiozawa A MiyoshiF Naito Y Nakayama Y Tomita M 2003 E-cell 2 multi-platform E-cell simu-lation system Bioinforma Oxf Engl 19 1727ndash1729

Tolia NH Joshua-Tor L 2006 Strategies for protein coexpression in Escherichia coliNat Methods 3 55ndash64 httpdxdoiorg101038nmeth0106-55

Tozakidis IEP Brossette T Lenz F Maas RM Jose J 2016 Proof of concept forthe simplified breakdown of cellulose by combining Pseudomonas putida strains withsurface displayed thermophilic endocellulase exocellulase and β-glucosidaseMicrob Cell Factories 15 103 httpdxdoiorg101186s12934-016-0505-8

Troumlgl J Krhůtkovaacute O Pilařovaacute V Daacuteňovaacute P Holiacuteček R Kohlovaacute M Hejda SSmrčka J Bouškovaacute A Křiklavovaacute L 2012 Removal of nitrates from high-salinitywastewaters from desulphurization process with denitrifying bacteria encapsulated inLentikats Biocatalyst Int J Environ Sci Technol 9 425ndash432 httpdxdoiorg101007s13762-012-0048-4

UniProt Consortium 2015 UniProt a hub for protein information Nucleic Acids Res 43D204ndash212 httpdxdoiorg101093nargku989

Vallenet D Calteau A Cruveiller S Gachet M Lajus A Josso A Mercier JRenaux A Rollin J Rouy Z Roche D Scarpelli C Meacutedigue C 2016MicroScope in 2017 an expanding and evolving integrated resource for communityexpertise of microbial genomes Nucleic Acids Res httpdxdoiorg101093nargkw1101

van Leeuwen JGE Wijma HJ Floor RJ van der Laan J-M Janssen DB 2012

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Directed evolution strategies for enantiocomplementary haloalkane dehalogenasesfrom chemical waste to enantiopure building blocks Chembiochem Eur J ChemBiol 13 137ndash148 httpdxdoiorg101002cbic201100579

Vilchez-Vargas R Junca H Pieper DH 2010 Metabolic networks microbial ecologyand ldquoomicsrdquo technologies towards understanding in situ biodegradation processesEnviron Microbiol 12 3089ndash3104 httpdxdoiorg101111j1462-2920201002340x

Wang HH Isaacs FJ Carr PA Sun ZZ Xu G Forest CR Church GM 2009Programming cells by multiplex genome engineering and accelerated evolutionNature 460 894ndash898 httpdxdoiorg101038nature08187

Wang B Kitney RI Joly N Buck M 2011 Engineering modular and orthogonalgenetic logic gates for robust digital-like synthetic biology Nat Commun 2 508httpdxdoiorg101038ncomms1516

Wang K Schmied WH Chin JW 2012 Reprogramming the genetic code from tri-plet to quadruplet codes Angew Chem Int Ed Eng 51 2288ndash2297 httpdxdoiorg101002anie201105016

Wang B Barahona M Buck M 2013 A modular cell-based biosensor using engineeredgenetic logic circuits to detect and integrate multiple environmental signals BiosensBioelectron 40 368ndash376 httpdxdoiorg101016jbios201208011

Wang L Xue C Wang L Zhao Q Wei W Sun Y 2016 Strain improvement ofChlorella sp for phenol biodegradation by adaptive laboratory evolution BioresourTechnol 205 264ndash268 httpdxdoiorg101016jbiortech201601022

Wei R Oeser T Schmidt J Meier R Barth M Then J Zimmermann W 2016Engineered bacterial polyester hydrolases efficiently degrade polyethylene ter-ephthalate due to relieved product inhibition Biotechnol Bioeng 113 1658ndash1665httpdxdoiorg101002bit25941

Wibberg D Bremges A Dammann-Kalinowski T Maus I Igentildeo MI Vogelsang RKoumlnig C Luque-Almagro VM Roldaacuten MD Sczyrba A Moreno-Viviaacuten CBlasco R Puumlhler A Schluumlter A 2016 Finished genome sequence and methylomeof the cyanide-degrading Pseudomonas pseudoalcaligenes strain CECT5344 as resolvedby single-molecule real-time sequencing J Biotechnol 232 61ndash68 httpdxdoiorg101016jjbiotec201604008

Wicker J Lorsbach T Guumltlein M Schmid E Latino D Kramer S Fenner K 2016enviPathmdashthe environmental contaminant biotransformation pathway resourceNucleic Acids Res 44 D502ndash508 httpdxdoiorg101093nargkv1229

Wierckx N Prieto MA Pomposiello P de Lorenzo V OConnor K Blank LM2015 Plastic waste as a novel substrate for industrial biotechnology MicrobBiotechnol 8 900ndash903 httpdxdoiorg1011111751-791512312

Wigginton N Yeston J Malakoff D 2012 Working with waste More treasure thantrash Introduction Science 337 662ndash663 httpdxdoiorg101126science3376095662

Winsor GL Griffiths EJ Lo R Dhillon BK Shay JA Brinkman FSL 2016Enhanced annotations and features for comparing thousands of Pseudomonas gen-omes in the Pseudomonas genome database Nucleic Acids Res 44 D646ndash653httpdxdoiorg101093nargkv1227

Wittich R-M Wolff P 2007 Growth of the genetically engineered strain Cupriavidusnecator RW112 with chlorobenzoates and technical chlorobiphenyls Microbiology153 186ndash195 httpdxdoiorg101099mic029096-0

Wittich R-M van Dillewijn P Ramos JL 2010 Rational construction of bacterialstrains with newimproved catabolic capabilities for the efficient breakdown of en-vironmental pollutants In Timmis KN (Ed) Handbook of Hydrocarbon and LipidMicrobiology Springer Berlin Heidelberg pp 1247ndash1254

Wolfaardt GM Lawrence JR Robarts RD Caldwell SJ Caldwell DE 1994Multicellular organization in a degradative biofilm community Appl EnvironMicrobiol 60 434ndash446

Wu G Yan Q Jones JA Tang YJ Fong SS Koffas MAG 2016 Metabolicburden cornerstones in synthetic biology and metabolic engineering applicationsTrends Biotechnol 34 652ndash664 httpdxdoiorg101016jtibtech201602010

Xu P Vansiri A Bhan N Koffas MAG 2012 ePathBrick a synthetic biology plat-form for engineering metabolic pathways in E coli ACS Synth Biol 1 256ndash266httpdxdoiorg101021sb300016b

Yadid I Rudolph J Hlouchova K Copley SD 2013 Sequestration of a highly re-active intermediate in an evolving pathway for degradation of pentachlorophenolProc Natl Acad Sci U S A 110 E2182ndash2190 httpdxdoiorg101073pnas1214052110

Yang J Liu R Jiang H Yang Y Qiao C 2012 Selection of a whole-cell biocatalystfor methyl parathion biodegradation Appl Microbiol Biotechnol 95 1625ndash1632httpdxdoiorg101007s00253-011-3792-3

Yang Y Yang J Jiang L 2016 Comment on A bacterium that degrades and assim-ilates poly(ethylene terephthalate) Science 353 759 httpdxdoiorg101126scienceaaf8305

Yoshida S Hiraga K Takehana T Taniguchi I Yamaji H Maeda Y Toyohara KMiyamoto K Kimura Y Oda K 2016a A bacterium that degrades and assimilatespoly(ethylene terephthalate) Science 351 1196ndash1199 httpdxdoiorg101126scienceaad6359

Yoshida S Hiraga K Takehana T Taniguchi I Yamaji H Maeda Y Toyohara KMiyamoto K Kimura Y Oda K 2016b Response to comment on A bacterium thatdegrades and assimilates poly(ethylene terephthalate) Science 353 759 httpdxdoiorg101126scienceaaf8625

Zobel S Benedetti I Eisenbach L de Lorenzo V Wierckx N Blank LM 2015 Tn7-based device for calibrated heterologous gene expression in Pseudomonas putida ACSSynth Biol 4 1341ndash1351 httpdxdoiorg101021acssynbio5b00058

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  • Bioremediation 30 Engineering pollutant-removing bacteria in the times of systemic biology
    • Introduction
    • Approaches and tools of systems biology and metabolic engineering for tailoring biodegradation pathways
      • Step 1 get to know the contaminant and find a suitable catabolic pathway
        • Databases
        • Pathway prediction systems and toxicity prediction algorithms
        • Detection and quantification of pathway building blocks
          • Step 2 select and get to know a suitable microbial host
            • Omics techniques in studies of bacterial degraders
              • Step 3 build the pathway and optimize its performance in the context of host metabolism
                • Computational tools for pathway and strain optimization
                • Experimental tools for pathway and strain optimization
                • Protein engineering to eliminate bottlenecks of biodegradation pathways
                    • Synthetic biology approaches and tools for biodegradation pathway engineering
                      • Development of robust microbial chassis for biodegradation of toxic chemicals
                      • Development of synthetic microbial consortia for enhanced biodegradation and bioremediation of pollutants
                      • Development of orthogonal systems in bacteria to enhance pollutant biodegradation and bioremediation
                      • Engineering microbial biodegradation pathways in vitro
                        • Towards planet-wide bioremediation interventions CO2 capture as a large-scale challenge
                        • Conclusions and perspectives
                        • Acknowledgements
                        • References
                        • Web references
Page 9: Bioremediation 3.0 Engineering pollutant-removing bacteria ... · biology, metabolic engineering, and synthetic biology, for the sake of understanding and reprograming biological

TCP biodegradation pathway described above is to combine NovagenDuet plasmid vectors (Merck Millipore Germany) or derivatives such asePathBrick vectors which carry compatible replication origins andantibiotic markers (Kurumbang et al 2014 Tolia and Joshua-Tor2006 Xu et al 2012) This system allows effective propagation andmaintenance of up to four plasmids in a single E coli BL21 cell withλDE3 lysogen and modular assembly of multi-gene pathways SEVA(Standard European Vector Architecture) plasmids with standardizedarchitecture and nomenclature are an alternative modular vectorsystem tailored to allow cloning or expression of heterologous genes inP putida E coli and other Gram-negative bacteria with no specificneed for strain pretreatment (Martiacutenez-Garciacutea et al 2015) Up to fourplasmids each with one of the six available antibiotic markers (ampi-cillin kanamycin cloramphenicol streptomycin tetracycline genta-micin) four independent replication origins (RK2 pBBR1 pRO1600ColE1 RSF1010) and diverse cargoes can be combined in a single hostcell to fulfill the users needs A rich collection of constructs is alreadyfreely available (httpsevacnbcsices)

A set of compatible SEVA plasmids was used for instance in a studyof Nikel and de Lorenzo (2013) who described extrication of P putidaKT2440 from its strictly aerobic nature which prevents its use in in-dustrial anaerobic fermentors and certain bioremediation applications(Nikel and de Lorenzo 2013) Two scenarios were considered to ex-plain the inability of P putida to grow in anoxic conditions (i) un-balanced energy charge due to limited activity of the respiratory chainand (ii) lack of appropriate pathways for anoxic NADH re-oxidationThis two-fold problem was tackled by recruiting the pyruvate dec-arboxylase (pdc) and alcohol dehydrogenase II (adhB) genes from theanaerobe Zymomonas mobilis and the acetate kinase (ackA) gene fromthe facultative aerobe E coli to manipulate energy generation andredox balance in anoxic conditions To evaluate the potential of therecombinant host for anoxic biotransformations the authors used it as ahost for the haloalkane dehalogenase genes from P pavonaceae strain170 The resulting recombinant which bore two synthetic operons oncompatible plasmids pSEVA234 and pSEVA428 not only survived inanoxic conditions but also degraded the environmental pollutant 13-dichloropropene These results highlight the possibility of harnessingthe full potential of P putida KT2440 as a robust biocatalyst by precisecontrol of its energy and redox metabolism

Despite the widespread use of recombinant plasmids in proof-of-concept studies metabolic engineers must bear in mind that the in-troduction and massive expression of heterologous genes can affect hostfitness due either to additional metabolic load or to depletion of es-sential cofactors in redox reactions (Dvorak et al 2015 Glick 1995Wu et al 2016) This is even more important in the design of robustbacterial degraders that must cope with a spectrum of toxic substratesandor pathway intermediates and might need an additional energycharge and reducing cofators to cope with oxidative stress (Dvoraket al 2015 Nikel et al 2013) By-passing such difficulties is possibleby tuning inducer concentration applying lower-copy-number plasmidswith weaker promoters or by enzyme-mediated co-factor recyclingthrough overexpression of NAD+ kinase transhydrogenases or dehy-drogenases (Dvorak et al 2015 Nikel et al 2016b)

As an alternative expression of heterologous genes directly from thehost chromosome can be beneficial for greater stability of the desiredgenotypephenotype and improved host viability (Martiacutenez-Garciacuteaet al 2014a Santos and Yoshikuni 2014 St-Pierre et al 2013 Zobelet al 2015) Homologous recombination and site-specific or randomtransposition-based techniques have been developed to enable chro-mosomal insertion of single genes gene clusters or whole syntheticoperons or knockouts of genes that encode competing metabolicpathways (Loeschcke et al 2013 Martiacutenez-Garciacutea et al 2014a Santosand Yoshikuni 2014 St-Pierre et al 2013 Zobel et al 2015)

In a study by Samin and co-workers a mutant variant of haloalkanedehalogenase DhaA was introduced into the chromosome of 23-di-chloro-1-propanol-degrading P putida MC4 under the control of a

strong constitutive promoter using the Tn5 transposon-based deliveryvector (Samin et al 2014) Although the complete mineralizationpathway in strain MC4 is not yet fully understood the recombinantPseudomonas was the first microorganism shown to grow aerobically onTCP both in shaken flasks and in packed-bed reactor in continuous-flow conditions Mini-transposon systems have also been used suc-cessfully for chromosomal integration of the whole catabolic cluster asin the study by Wittich and Wolf who transplanted 11 genes from threedistinct bacteria into Cupriavidus necator H850 giving rise to the firstdesigner bacterium to show aerobic growth on a wide range of PCBincluding the two commercial pesticides Aroclor 1221 and Aroclor1232 (Wittich and Wolff 2007)

Gene expression balancing is undoubtedly a powerful metabolic en-gineering concept In addition to the approaches mentioned above forrather rough manipulation of gene expression numerous techniques forfine-tuning expression have been developed in recent years Surgicalcuts including computationally designed ribosome binding sites refinedarchitecture of the whole expression cassette mutagenesis of promoterregions tailored stability of mRNA molecules or altered gene order inthe operon were proven useful for optimizing bisynthetic pathways(Boyle and Silver 2012) In several cases expression adjustment was alsoconsidered in biodegradation pathway design de la Pentildea Mattozzi andco-workers achieved more rapid paraoxon hydrolysis in a recombinantP putida strain by altering the order of three genes in the operon forenzymes that convert one of the initial pathway intermediates (de laPentildea Mattozzi et al 2006) Expression of the dszB gene which encodes2-hydroxybiphenyl-2-sulfinate sulfinolyase the last rate-limiting enzymein the dibenzothiophene biodesulfurization pathway was improved byrearranging gene order and removing the overlapping structure in the dszoperon (Li et al 2007) Nonetheless especially in cases of syntheticmetabolic pathways composed of biocatalysts from diverse organismsthe activity selectivity stability or inhibition bottlenecks of individualenzymes can be too far-reaching to be solved by tuning expression of thecorresponding genes Moreover overexpression of endogenous or exo-genous genes often results in a metabolic burden and lower host viabilitydue to overconsumption of metabolic precursors (amino acids rRNAATP reducing cofactors) to fuel the synthesis of non-essential proteins(Glick 1995 Wu et al 2016) Protein engineering of bottleneck en-zymes then becomes a more reasonable approach

233 Protein engineering to eliminate bottlenecks of biodegradationpathways

Over the last two decades three distinct strategies were developed toallow the construction and identification of mutant enzymes with de-sirable properties (Bornscheuer et al 2012) The earliest approach ra-tional design exploits various computational techniques such as mole-cular docking homology modelling and molecular dynamics simulationstogether with site-directed mutagenesis protocols to generate targetedmutations that result in single or several modified variants of an enzyme(Damborsky and Brezovsky 2014) In contrast directed evolution usesrandom mutagenesis methods and is beneficial especially in cases whenneither the structure nor the catalytic mechanism of the enzyme isavailable (Brakmann 2001) Random methods of directed evolution arecombined with elements of rational enzyme modification to bypasscertain limitations of both approaches This focused directed evolutionapproach targets several specific residues or certain protein regions se-lected on the basis of prior structural and functional knowledge(Bornscheuer et al 2012) Mutation hot spots are chosen experimentallyand on a much larger scale computationally using powerful new al-gorithms and statistical tools such as HotSpot Wizzard or 3DM tool(Bendl et al 2016 Damborsky and Brezovsky 2014 Kuipers et al2010) A clear trend in recent years is the introduction of protein en-gineering into the metabolic engineering workflow

The activities of many enzymes that act on anthropogenic com-pounds are derived from promiscuous activities that are generally veryinefficient (Khersonsky and Tawfik 2010) In such cases protein

P Dvořaacutek et al Biotechnology Advances 35 (2017) 845ndash866

853

engineering is the only possible solution Numerous reports from thefirst decade of the 2000s describe application of common protein en-gineering methods such as error-prone PCR DNA shuffling site-di-rected or saturation mutagenesis for engineering activity or selectivityof individual catabolic enzymes to halogenated hydrocarbons (Paralesand Ditty 2005 Wittich et al 2010) Recently the new challenge ofaccumulating plastic waste has attracted the attention of protein en-gineers who try to enhance the activities of certain bacterial or fungalenzymes such as esterases lipases or polyster hydrolases to syntheticpolymers including polyethylene terephthalate (PET) or polyurethanes(Wierckx et al 2015) For instance Wei and colleagues applied acomparison of crystal structures and molecular docking combined withside-directed mutagenesis to improve the activity of cutinase TfCut2from Thermobifida fusca KW3 towards PET at elevated temperaturesthat promote degradation of this oil-derived plastic (Wei et al 2016)Subsequent kinetic and in silico energetic analyses confirmed that theimprovement in PET hydrolysis was the result of a relief of productinhibition caused by single point mutation in the enzymes surface-ex-posed active site New unique PETase and MHETase shown to helpbacterium Indonella sakaiensis to depolymerize and utilize PET arepromissing candidates for protein and metabolic engineering exercisesthat might lead to biotechnological recycling of the polymer(Bornscheuer 2016 Yoshida et al 2016a) Alas such a promise is notdevoid of controversy about the very enzymes that could do the job(Yang et al 2016 Yoshida et al 2016b)

The studies reporting the implantation of constructed mutants in thecontext of the whole biodegradative pathway are nonetheless ratherrare Iwakiri and co-workers successfully applied Alcaligenes sp KF711harbouring engineered monooxygenase P450CAM for the dehalogena-tion of pentachloroethane to trichloroethane in anoxic conditions(Iwakiri et al 2004) In another study promiscuous toluene ortho-monooxygenase and epoxide hydrolase were engineered using DNA-shuffling and saturation mutagenesis the use of mutant genes allowedmore rapid aerobic degradation of chlorinated ethenes with less ac-cumulation of stress-inducing intermediates in recombinant E colibearing the synthetic pathway (Lee et al 2006 Rui et al 2004)

Mutants of DhaA the enzyme that initiates dehalogenation of TCPwere used in three of the previously mentioned studies that focused onTCP pathway engineering (Dvorak et al 2014b Kurumbang et al 2014Samin et al 2014) The DhaA31 variant with 29-fold improved catalyticefficiency towards the chlorinated substrate was prepared by combiningmolecular dynamics simulations of product release from the buried ac-tive site with site-directed and saturation mutagenesis in selected hotspots (Pavlova et al 2009) Another promising mutant with the potentialto remove the second serious bottleneck in the synthetic TCPpathwaymdashenantioselectivity of DhaA and high enantiospecificity ofHheCmdashoriginated from the work of van Leeuwen et al (2012) Theauthors targeted DhaA31 to obtain variants that convert TCP pre-dominantly into (R)-DCP which can be further converted by HheC at amuch higher rate than the (S)-enantiomer Five rounds of focused di-rected evolution using saturation mutagenesis with restricted codon setsprovided mutant DhaA r5-90R with 13 new amino acid substitutions andsubstantially improved (R)-selectivity Mutagenesis nevertheless affectedthe activity with TCP which dropped to wild-type DhaA levels themutant was later shown in in vitro and in vivo studies to be of no value forfurther improvement of TCP pathway efficiency (Dvorak et al 2014bKurumbang et al 2014) Additional engineering input is thus needed toobtain DhaA variants with improved activity and modified enantios-electivity that would promote smooth flux through the syntheticpathway (Fig 4) and allow growth of bacterial recombinants in minimalmedium with the toxic substrate (Kurumbang et al 2014)

It will be necessary to accelerate the processes of laboratory evo-lution and screening of new enzymes with enhanced properties inmutant and metagenomic libraries to make protein engineering ofgreater value in optimizing natural and synthetic catabolic pathways(Bouhajja et al 2016) Selection couples an improved enzyme property

with host survival which allows evengt 109 clonesenzyme variants tobe tested in a reasonable time New selection assays based on toxicsubstrate conversions into a harmless utilizable metabolite coupledwith fluorescence-activated sorting of surviving cells could for ex-ample be applied for the enrichment of new dehalogenase variantsfrom libraries prepared by directed evolution or a semi-rational ap-proach (Fernaacutendez-Aacutelvaro et al 2011 Fibinger et al 2015) Severalrecent studies presented workflows for high-throughput screening andcharacterization of improved enzyme variants or novel enzyme activ-ities These test schemes are based on (i) bioinformatic pre-screeningcombined with high-throughput experimental characterization of can-didate proteins (Bastard et al 2014) (ii) completely automated roboticplatforms manipulating clones growing in microtitre plates (Doumlrr et al2016) (iii) microcapillary arrays coupled with fluorescent assays andlaser extraction for recovery of live clones (Chen et al 2016) or (iv)single-cell sorting based on a fluorescent signal from clones with animplemented synthetic genetic circuit responding to a specific meta-bolite (Choi et al 2014) In silico screening of molecules that fit theactive site cavity of an available enzyme structure or reverse screeningof enzymes that can accommodate target substrate could supplementexperimental methods and reduce the time needed for discovery of newbiocatalysts for recalcitrant chemicals Indeed the potential of in silicoscreening methods was demonstrated when investigating cytochromeP450-mediated metabolism of xenobiotics (Raunio et al 2015) In arecent study by Aukema and colleagues docking and molecular dy-namics simulations allowed selection of biphenyl dioxygenase fromParaburkholderia xenovorans LB400 as the best candidate enzyme formetabolizing carbamazepine one of the most commonly identified re-calcitrant pharmaceuticals in rivers (Aukema et al 2016) The ex-perimentally verified rate of carbamazepine degradation by P xeno-vorans cells was 40-times greater than the best reported rates so far

As shown in the preceding sections the available toolbox of systemsbiology metabolic engineering and protein engineering applicable forre-factoring microbes and their catabolic pathways towards more effi-cient biodegradation of waste chemicals and recalcitrant pollutants isbecoming inordinately large Even so the defined workflows standardsand universally applicable principles for strain optimization were longmissing in the field of metabolic engineering despite which the aim toengineer living systems on a rational basis remained prevalent in thecommunity This goal led metabolic engineers to adopt standards andstrategies from another closely related field of synthetic biology thatwas established primarily to program living systems with a high pre-dictability

3 Synthetic biology approaches and tools for biodegradationpathway engineering

The principal underlying thought in synthetic biology is that anyliving system can be considered a set of separate usable componentsthat can be combined by the means of biological engineering in newarrangements to alter existing features or generate new ones (deLorenzo and Danchin 2008) Such biological engineering can be sim-plified by applying principles adopted from electronic engineering andcomputer science to produce predictable robust systems (genetic con-trol systems metabolic pathways chromosomes and whole cells) withnon-natural functions (Paddon and Keasling 2014) This would beachieved through the fabrication of thoroughly characterized stan-dardized recyclable parts From its very beginnings synthetic biologyhas been confronted with the need to define its practice precisely and todevelop clear generally applicable strategies as this was the only wayto guarantee and implement engineering principles in a field as sto-chastic as biology With its tools standards and the DBTA cyclestrategy synthetic biology has contributed as has no other scientificdiscipline to rationalize metabolic engineering Its bottom-up ap-proaches and synthetic devices are being implemented to make morerobust better controllable microbial cell factories Synthetic biology

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can and to some extent already contributes the same service with itsnew concepts to the fields of biodegradation and bioremediation In thethe Section 3 we will discuss examples of beneficial inclusion of syn-thetic biology into strategies for engineering pathways and whole cellsfor biodegradation of waste and polluting chemicals and perspectivesfor these initiatives

31 Development of robust microbial chassis for biodegradation of toxicchemicals

Genetic instability and negatively affected fitness are frequentlyencountered drawbacks of the native microbial hosts tailored by me-tabolic engineering for specific biodegradation purposes Syntheticbiology offers possible solutions for these problems by implementingDNA synthesis and genome editing strategies Both curiosity and pro-spective practical applications drive synthetic biologists to generatemicrobial cells with deleted parts of their genomes that encode re-dundant cryptic or even deleterious functions Such cells endowedwith a reduced genome as foundation to house and support hetero-logous genetic parts are collectively known as chassis (Adams 2016)An extreme case of a chassis is the so-called minimal cell (Glass et al2006) Chassis can be prepared by de novo synthesis of a reduced targetgenome and its implantation into a suitable cell envelope or throughsystematic deletions of non-essential genes in the genomes of an ex-isting natural host Microarray-based oligonucleotide synthesis is cur-rently used to provide a substrate (usually 5ndash50 oligos) for constructionof larger (usually 200ndash3000 bp) synthetic fragments (Kosuri andChurch 2014) Scarless methods including the popular Gibson as-sembly uracil assembly Golden Gate technology ligase cycling reac-tion or yeast recombination are used to combine sequence-verifiedgene-length fragments in even larger complexes (Casini et al 2015)DNA synthesis also allows preparation of standardized genetic parts(promoters ribosome binding sites genes terminators and so on) withverified codon-optimized sequences Despite breakthroughs in genesynthesis and DNA assembly methods this last approach for chassisconstruction seems far more feasible at the moment considering thelesser demand of chromosome editing experiments the constantly ex-panding portfolio of genetic tools and the growing list of micro-organisms with intentionally reduced genomes (Martiacutenez-Garciacutea and de

Lorenzo 2016 Si et al 2015)Discarding non-essential cell functions shows considerable potential

not only for biosynthetic purposes (Hutchison et al 2016) but also fordesigner biodegradation and bioremediation A recent report on thesystematic deletion of 11 non-adjacent genomic regions in P putidaKT2440 (Fig 5) is a unique example of genome streamlining in apopular bacterial host with well-defined biodegradation capabilities(Martiacutenez-Garciacutea et al 2014b) In all 300 genes were eliminated thatis 43 of the entire KT2440 strain genome using the scar-less deletionprocedure based on homologous recombination after in vivo DNAcleavage by the homing Saccharomyces cerevisiae nuclease I-SceI(Martiacutenez-Garciacutea and de Lorenzo 2012) A suite of functions was tar-geted including the complete flagellar machinery whose assembly andfunction drains ATP from the cells and consumes NAD(P)H Four pro-phages two transposons and three components of DNA restriction-modification systems were also eliminated to minimize genetic in-stability The resulting strains designated P putida EM42 and EM383(the latter lacks the recA gene that encodes recombinase A) showedclearly superior growth properties and improved overall physiologicalvigour compared to wild-type KT2440 Moreover due to the higherNADPHNADP+ ratio the reduced-genome strains also better toleratedendogenous oxidative stress a property that provides a crucial ad-vantage for catalysing harsh biodegradation reactions such as aerobicdehalogenation of chlorinated pollutants (Nikel et al 2013)

Despite their reliability and robustness the procedures based onthese genome editing tools are time- and labour-intensive and re-stricted to a limited number of model microorganisms This problem isnow being challenged by new protocols that profit from the type IIbacterial Clustered Regularly Interspaced Short Palindromic Repeats(CRISPR) and CRISPR-associated protein (Cas) Multiple AutomatedGenome Editing (MAGE) and combinations thereof (Barrangou andvan Pijkeren 2016 Wang et al 2009) Nonetheless these technologiesalso suffer from some weaknesses such as generation of numerous off-target mutations The off-target problem of the CRISPR-Cas system wasrecently mitigated by engineering high-fidelity Cas9 nucleases(Kleinstiver et al 2016) In a similar manner the number of off-targetmutations during MAGE was reduced substantially when temperature-sensitive control of the endogenous methyl-directed mismatch repairsystem was introduced into the E coli host together with a dominant

Fig 4 Hypersurface plot describing the effect of catalytic efficiency (kcatKm) and enantioselectivity (E-value) of haloalkane dehalogenase DhaA on the production of glycerol in the TCPpathway The hypersurface was calculated using the mathematical model of the TCP pathway (Dvorak et al 2014b) using the constraints of Kurumbang and co-workers (Kurumbanget al 2014) Positions of four DhaA variants DhaAwt (wild type kcatKm = 70 Mminus1 sminus1 E-value = 1) DhaA r5-90R (kcatKm = 20 Mminus1 sminus1 E-value = 10) DhaA31 (kcatKm = 600 Mminus1 sminus1 E-value = 1) and hypothetical DhaAXX (kcatKm = 700 Mminus1 sminus1 E-value = 10) are indicated by red dots Note that the majority of mutations (orange spheres)introduced into DhaA r5-90R and DhaA31 are adjacent to the active site (red spheres) and to the access tunnels (in green) Hypothetical enzyme DhaAXX with 10-fold improved catalyticefficiency and 10-fold improved enantioselectivity compared to DhaAwt would enable production of 1 mM glycerol (red line) from 2 mM TCP in the culture of recombinant E coliBL21(DE3) within 24 h time interval Such glycerol concentration will be sufficient to support the cell growth Figure was adopted and modified from (Kurumbang et al 2014) (Forinterpretation of the references to colour in this figure legend the reader is referred to the web version of this article)

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negative mutator allele of the E coli mismatch repair protein MutL(Nyerges et al 2016) By placing this highly conserved allele togetherwith λ Red recombinase genes and a temperature-sensitive λ repressoron a single broad-host range plasmid Nyerges and co-workers provideda simplified MAGE variant (pORTMAGE) that allowed genome editingand mutant library generation in several biotechnologically and clini-cally relevant bacterial species with no need for prior modifications ofparental strains The recent discovery of the Ssr protein from P putidaDOT-T1E a functional homologue of the β protein of the λ Red re-combination system paved the way for oligonucleotide-mediatedmultiplex genome engineering in pseudomonads including P putidaKT2440 and its derived platform strains EM42 and EM383 (Aparicioet al 2016) Continuing facilitated reduction of their genomes (dele-tions of multiple repetitive sequences or certain proteases) and genomesof other relevant bacterial hosts will provide more reliable robustchassis for biodegradation pathway engineering

32 Development of synthetic microbial consortia for enhancedbiodegradation and bioremediation of pollutants

An alternative strategy that allows for the emergence of more robustmicrobe-based bioprocesses is just the opposite of the systematic de-velopment of bacterial chassis based on individual wild-type strainsNatural microbial consortia perform complicated biocatalytic taskssuch as lignocellulose degradation wastewater purification or in-testinal food digestion By dividing the labour and metabolic burdenthe consortium members become more flexible when facing complexenvironmental conditions Distribution of catabolic capacity amongcells of a single organism among different bacterial strains or evenamong species from different kingdoms is pivotal this is especially truefor biodegradation of complex toxic chemicals which encompassesmany steps and harmful intermediates with diverse physicochemicalproperties The idea of exploiting consortia for directed biodegradationof polluting compounds and bioremediation of contaminated sites thuslies ready to hand

Application of natural microbial consortia has already shown pro-mise for bioremediation of sites polluted with anthropogenic pesticidessuch as diclofop methyl or atrazine (Baghapour et al 2013 Wolfaardtet al 1994) Together with the new field of synthetic biology attemptsare being made to modify the structure of original natural consortia ordevelop completely new artificial organizations of co-operating mi-croorganisms For example co-culture of engineered E coli SD2 and Pputida KT2440 was used successfully to mineralize the insecticideparathion in shaken flasks and in biofilm culture (Gilbert et al 2003)In another study complete mineralization of 246-tribromophenol aflame-retardant intermediate and pesticide was achieved using an

artificial anaerobe consortium of reductive debrominator Dehalobactersp FTH1 a hydrogen supplier Clostridium sp Ma13 and the 4-chor-ophenol-degrading strain Desulfatiglans parachlorophenolica DS (Li et al2015) Recently Martiacutenez and co-workers introduced an attractive al-ternative strategy for engineering the 4S pathway (Fig 6A) a para-digmatic bioprocess for removal of the recalcitrant sulphur from aro-matic heterocycles in fuels (Martiacutenez et al 2016) The pathwayencoded by dszABCD genes converts the model compound di-benzothiophene (DBT) into sulphur-free 2-hydroxybiphenyl (2HBP)The authors initially synthesized and re-arranged the original genes andoptimized transcriptional and translational signals for P putida KT2440By dividing the pathway into three separate modules expressed in-dividually they were able to define previously unreported bottlenecksin the pathway that is the inhibitory effect of intermediate 2HBP-sulfinate (HBPS) on DszA and DszC monooxygenases and HBPS leakageinto the culture medium from which it could not be transported backinto the cells for further processing To prevent HBPS accumulationtwo P putida strains bearing dszC1-D1 or dszB1A1-D1 modules weremixed as a suspension of resting cells When the strains were combinedat a 14 ratio and added with cell-free extract containing extra DszBalmost 100 of DBT was transformed into 2HBP in assay conditions

Considerable attention is currently being dedicated to developingstrategies for biodegradation of oil and oil-derived chemicals Patowaryand co-workers designed a potent microbial consortium for prospectivedecontamination of sites exposed to polycyclic aromatic hydrocarbonsfrom crude oil (Patowary et al 2016) The authors first inspected thebiodegradative capacity for total petroleum hydrocarbons of 23 bac-terial isolates from petroleum-contaminated soils and subsequentlydesigned 14 artificial consortia based on the five most efficient isolatesThe best designer consortium comprised of two biosurfactant-produ-cing hydrocarbon-degrading strains of Bacillus pumilus and B cereusshowed up to 84 degradation of total petroleum hydrocarbons afterfive weeks as verified by gravimetric FTIR and GCMS analyses Ap-plication of natural or re-designed bacteria and their consortia alsoholds considerable promise for decomposition of oil-derived plasticwaste (Skariyachan et al 2016 Yoshida et al 2016a 2016b)

New tricks for more efficient biodegradation strategies could beadopted from inspiring current research on synthetic consortia designedto decompose and valorize lignocellulosic biomass (Minty et al 2013)Tozakidis and co-workers reported application of an engineered con-sortium of three P putida strains displaying thermophilic en-doglucanase exoglucanase or β-glucosidase for concerted hydrolysis ofcellulose at elevated temperatures (Tozakidis et al 2016) Some studiesdescribe surface display of whole designer cellulosomes ndash syntheticenzymatic nanomachines whose natural counterparts are produced bycertain cellulolytic bacteria that exploit clustered surface-attached

Fig 5 Engineered Pseudomonas putida KT2440 as a newrobust chassis for biodegradation and bioremediationMartiacutenez-Garciacutea and colleagues used in-house genomeediting tools to streamline the chromosome of Pseudomonasputida KT2440 (Martiacutenez-Garciacutea et al 2014b) Deletion of43 of the original genome gave rise to the new platformstrains EM42 and EM383 whose advantageous propertiesmake them useful chassis for engineering biodegradationpathways and other applications

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cellulases for efficient depolymerization of cellulose and hemicellulose(S Kim et al 2013 Moraiumls et al 2014) The vast majority of the workthat exploits surface display systems for whole-cell removal of en-vironmental contaminants has been restricted to individual proteinssuch as laccases methyl parathion hydrolase or triphenylmethane re-ductase (Gao et al 2014 Liu et al 2016 Yang et al 2012) It istempting to expand available surface display technologies with cellu-losome parts for the design of synthetic consortia that would catalysemore complex biodegradation reactions including polymeric substratesor toxic metabolites outside the cells

Despite their true biotechnological potential microbial consortiaremain too complex for directed long-term application either for bio-synthesis or for biodegradation It is still difficult to engineer home-ostasis and evolutionary stability in an artificial multi-cellular systemwhose behaviour becomes unpredictable with time (Escalante et al2015) Attempts to adopt principles of intercellular communication forsynthetic consortia are just at their beginnings (Hennig et al 2015Scott and Hasty 2016) Intensive co-operation of genetic engineers andevolutionary biologists with microbial ecologists and chemists willobviously be needed to derive a deeper understanding of the processesthat rule the formation and survival of natural microbial consortiaLessons learnt from nature can be implemented and combined withcompletely anthropogenic orthogonal genetic devices for more reliabledesign of stable multicellular systems

33 Development of orthogonal systems in bacteria to enhance pollutantbiodegradation and bioremediation

Orthogonal or in other words parallel independent systems1 is a key

concept in synthetic biology as long as such quality makes live systemsmore amenable to bona fide engineering Orthogonalization involveseg use of unnatural genetic codes (for example quadruplet rather thantriplet) alternative transcription-translation machineries toggleswitches and genetic circuits for assembly of novel metabolic andsignalling pathways from proteins containing non-natural amino acids(An and Chin 2009 Wang et al 2012) Such metabolic pathways couldhave new functions and would synthesize or catabolize a fresh spectrumof compounds Ideally orthogonal pathwaysmodules interact mini-mally with their natural counterparts in the host cell This improvespredictability of the component behaviour and prevents inhibitorycross-talk following introduction of the pathway or circuit into an ex-isting metabolic network (Kim and Copley 2012 Kurumbang et al2014) In an orthogonal module the input and output molecules ofgenetic circuitsmdashor enzymes and metabolites of synthetic biochemicalroutesmdashare not degraded or inactivated by side-reactions or physico-chemical conditions of the host cell While complete orthogonality isvirtually impossible in biological systems a practicable level of context-independence is indeed feasible Some examples of claimed orthogonalsystems include simple synthetic genetic circuits switches or designedmetabolic pathways These have the potential to improve function ofindividual engineered bacteria or synthetic consortia as whole-cellbiosensors and degraders of recalcitrant chemicals

Sensitivity robustness and applicability of microbial biosensors fordetecting heavy metals or halogenated hydrocarbons can be greatlyimproved by implementing orthogonal genetic devices (Bereza-Malcolm et al 2015) Thus far simple microbial biosensor designsbased on one input and two-part regulatory systems with promoter andreporter providing a coloured fluorescent bioluminescent or electricsignal prevail in the literature (Ravikumar et al 2017) Reports onmore complex multi-input systems based on Boolean logic gates are stillrare but give us a clue to future developments in the field As firstoutlined by the work of Wang et al (2016) orthogonally acting multi-

Fig 6 Examples of synthetic biology approaches applied toengineering biodegradation pathways and whole-cell de-graders (a) Martiacutenez and co-workers divided the 4Spathway for sulphur removal from aromatic heterocyclesinto two modules (dszC1-D1 and dszB1A1-D1) that wereexpressed individually in two P putida KT2440 strains toform a synthetic consortium (Martiacutenez et al 2016) Com-bining the strains at a 14 ratio and mixing them with cell-free extract from the third strain producing DszB resulted inalmost complete conversion of dibenzothiophene into sul-phur-free 2-hydroxybiphenyl in assay conditions (b) Wanget al constructed a synthetic bacterial consortium in whicheach of the two E coli strains functioned as a double inputsensor with synthetic AND gates for detecting arsenicmercury and copper ions and quorum sensing molecules(3OC6HSL Wang et al 2013) Strain 2 generated redfluorescence only in the presence of all three metal ions inculture (c) Benedetti and colleagues achieved directedtransition between planktonic and biofilm lifestyles of Pputida KT2440 by controlling cyclic di-GMP levels with anorthogonal genetic device composed of the yedQ diguany-late cyclase gene from E coli under the control of the cy-clohexanone-responsive ChnRPchnB regulatory node fromAcinetobacter johnsonii (Benedetti et al 2016) Designedcells with a synthetic operon for 1-chlorobutane biode-gradation formed inducible biofilms with higher dehalo-genase activity than free planktonic bacteria (d) Dvorakand co-workers assembled the first in vitro synthetic biode-gradation pathway for 123-trichloropropane (TCP) bycombining engineered haloalkane dehalogenase DhaA31halohydrin dehalogenase HheC and epoxide hydrolaseEchA immobilized in cross-linked enzyme aggregates(CLEAS) and polyvinyl alcohol particles (LentiKats) (Dvoraket al 2014a) The immobilized pathway converted highconcentrations of toxic TCP into glycerol in contaminatedwater for more than two months of continuous operation in

a bench-top packed bed reactor (For interpretation of the references to colour in this figure legend the reader is referred to the web version of this article)

1 The mathematical and geometrical concept of orthogonality has been adopted first bycomputing science and then by synthetic biology to signify operative independenceSystem A is orthogonal to system B if A does not influence Bmdashand vice versa

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inputmulti-output logic gates will be especially valuable for detectingmixtures of polluting chemicals (organic inorganic or both) by pro-viding a specific signal for each of the constituents (He et al 2016Wang et al 2011) Developing such biosensors is of practical im-portance as polluted environments are usually burdened with nu-merous contaminants that have diverse physicochemical propertiesThe authors engineered a set of two-input E coli-based biosensors withsynthetic AND gates using signalling sensory modules from native two-component signal transduction pathways as well as hrpR and hrpSgenes along with their HrpL promoter element from P syringae Usingthese sensors they detected arsenic mercury copper and zinc ions aswell as quorum sensing molecules in aqueous environment (Wang et al2011) The most advanced design resulted in a triple-input AND logic-gated biosensor that formed a synthetic bacterial consortium in whicheach of the two members acted as a double input sensor (Fig 6B) In thepresence of arsenic and mercury the first strain formed a quorumsensing molecule (3OC6HSL) that diffused freely into the medium andwas sensed together with Cu2+ by the second strain which provided ared fluorescent signal (Wang et al 2013) The fluorescent response wasseen only when all three metal ions were present in the culture

Reliable orthogonal devices will be crucial for engineering artificialcell-cell communication for instance taking advantage of bacterialquorum sensing systems (Hennig et al 2015 Scott and Hasty 2016)Programming the dynamics of subpopulations of synthetic consortiathat perform complex tasks will be only possible with parallel geneticcircuits and signalling molecules unknown to the host cells (Chen et al2015) As stressed by Silva-Rocha and de Lorenzo (2014) catabolicpathways for recalcitrant and xenobiotic compounds could be a reliablesource of wiring devices and molecules These pathways are frequentlyfound in specific types of organisms and metabolic crosstalk can thusbe avoided by implementing components of such networks in suitablehosts For instance aromatic molecules such as benzoate or phenol canbe used as signal inducers that are recognized by regulatory proteinsthat trigeger expression of target genes The recent determination of thecrystal structure of the sensory domain in the phenol-responsive tran-scription activator PoxR ilustrates how aromatics are sensed in bacteria(Patil et al 2016) This study paves the way for wider application ofrationally engineered transcription regulators responsive to aromaticsin the design of synthetic genetic circuits

The dynamic behaviour of the whole biodegradation pathway canalso be better studied when the route is transferred into a distant hostchassis where it acts orthogonally The orthogonal nature of the syn-thetic pathway for TCP biodegradation in the surrogate host E coliBL21 (DE3) described in Section 231 allowed a very good matchbetween in silico predicted and in vivo metabolite concentrations andprecise description of the bottlenecks (Kurumbang et al 2014) as wellas deciphering the contribution of metabolic burden and substratemetabolite toxicity to the fitness cost of TCP biotransformation bywhole-cell catalysts (Dvorak et al 2015) Despite their benefits for suchmechanistic and proof-of-concept studies laboratory E coli strainsmight not be optimally suited for the harsh conditions that accompanybiodegradation and bioremediation processes (Adams 2016 Nicolaouet al 2010) Development of reliable chassis amenable to implantationof orthogonal genetic devices is therefore desirable These new cellplatforms should be based on robust environmental strains of Pseudo-monas Rhodococcus Deinococcus and other microorganisms with broadmetabolic versatility and natural resistance to organic solvents or heavymetals (Adams 2016)

One can also take advantage of other specific properties of en-vironmental bacteria including formation of a robust biofilm As shownrecently by Benedetti and colleagues the actual physical forms ofwhole-cell biocatalysts can be mastered using orthogonal genetic parts(Fig 6C) through the so-called synthetic morphology approach (Benedettiet al 2016) Pseudomonads generate biofilms with biophysical prop-erties that depend on the species Cyclic di-GMP (c-di-GMP) is the keysignal molecule that rules the complex regulatory network mediating

the transition between planktonic cells and biofilm formation Thisfeature was exploited to design an orthogonal genetic device for ma-nipulating the native c-di-GMP biochemistry in P putida thereby con-trolling biofilm formation (Benedetti et al 2016) The E coli yedQ gene(encoding diguanylate cyclase the enzyme that synthesizes c-di-GMPfrom GTP) was placed under control of a tightly regulated cyclohex-anone-responsive expression system A synthetic operon encoding theenzymes needed for 1-chlorobutane biodegradation was also in-troduced in the engineered biofilm-forming P putida strain Upon ac-tivation of the corresponding genetic modules with appropriate in-ducers the resulting P putida biocatalyst displayed high dehalogenaseactivity in robust biofilms

The modern approaches of biological engineering accelerate thedevelopment of whole-cell biocatalysts for in situ bioremediation orbiosensing of emerging environmental pollutants Field applications ofgenetically modified microorganisms are nonetheless restricted bycurrent legislation and hindered by the unreliable behaviour of re-combinant microbes in complex fluctuating environments Syntheticbiology can help to tackle the major problems through the means de-scribed at the beginning of this chapter ie non-canonical geneticcodes and xenobiochemistry which can prevent diffusion of undesiredsequences into the environmental gene pool differentiate recombinantsfrom their natural counterparts and improve robustness and reliabilityof prepared genetic devices whole-cell degraders and biosensors Theexamples of such endeavours were recently reviewed extensively(Schmidt 2010 Schmidt and de Lorenzo 2016) These systems couldbe combined with bioluminiscence fluorescence or DNA watermarkingtechnologies to track the environmental fate of designer degraders orwith inducible suicide systems for discarding degraders once theirmission is completed (Liss et al 2012 Liu et al 2010 Paul et al2005) Yet the path to applied xenobiology is still crooked and manyethical questions remain Another concept from the portfolio of syn-thetic biology that will be discussed in the following section has thepotential to fill the time gap until we obtain reliable whole-cell catalystsand alternative solutions also acceptable for GMO critics will be pro-vided

34 Engineering microbial biodegradation pathways in vitro

The major principle of cell-free synthetic biology is that purifiedbiomolecules or components in crude cell extracts replace intact cellsfor constructing complex biomolecular systems (Hodgman and Jewett2012) To date metabolic networks that encompassgt 10 enzymeshave been reconstructed in vitro (Rollin et al 2015 Schwander et al2016) Cell-free metabolic pathways allow easy verification of bioca-talyst function determination of kinetic parameters as well as eva-luation of the network by kinetic modelling (Santacoloma et al 2011)Note however that assemby of degradative pathways in cell-free sys-tems (whether with purified enzymes or cell extracts) is not only toprototype and parametrize new routes but also for direct use in thefield (Karig 2017) Despite the drawbacks that cell-free systems cannotself-propagate that certain biomolecules can be sensitive to oxidizingenvironments and that their encapsulation and large-scale productionmight be costly these systems offer an appealing means to circumventproblems associated to GMO release to the environment Apart fromincreasing safety they offer other clear benefits For instance in vitrosystems can operate in the presence of toxins that would inhibit or killlive cells and metabolites regulators and enzymes can be produced inoptimized concentrations without interfering with cell componentsMost important for release and predictability the evolutionary oppor-tunities of such non-live agents are zero making the emergence ofunexpected properties virtually impossible

In vitro metabolic networks can suffer from suboptimal efficiencydue to the lower enzyme concentration compared to the extremelydense cell cytoplasm (Hodgman and Jewett 2012) This issue can bemitigated by enzyme immobilization and improved spatial organization

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via synthetic protein or DNA scaffolds that reduce diffusion of pathwayintermediates and promote substrate channeling (Siu et al 2015) Al-ternatively biocatalysts can be precipitated and covalently inter-connected in cross-linked enzyme aggregate particles (Sheldon 2011)this method was applied successfully to synthesize toxic nucleotideanalogues by an immobilized five-enzyme synthetic pathway (Scismand Bachmann 2010) The biochemical route described was completedwith functional ATP regeneration which demonstrates that in vitrotechnologies can cope with another possible drawback ndash limited co-factor recycling

Thus far mainly single immobilized enzymes or whole-cell bioca-talysts have been exploited in biotechnological processes intended toremove polluting chemicals such as polyethylene terephthalate 24-dinitrophenol atrazine or inorganic nitrates (Barth et al 2016Dehghanifard et al 2013 Mutlu et al 2015 Troumlgl et al 2012) In vitroassays with cell-free extracts or purified enzymes respectively helpedto identify an unknown anaerobic pathway for complete phthalatedegradation to CO2 in Thauera chlorobenzoica 3CB-1 or to decipher se-questration of the highly toxic intermediate tetrachlorobenzoquinone inpentachlorophenol degradation pathway in Sphingobium chlor-ophenolicum (Ebenau-Jehle et al 2017 Yadid et al 2013) Geuekeet al showed the benefits of an in vitro engineering approach in themodel of γ-HCH biodegradation pathway (Geueke et al 2013) Theyused a system of two purified enzymes the dehydrochlorinase LinA andthe haloalkane dehalogenase LinB which initiate biotransformation ofγ-HCH a prohibited insecticide They separately incubated five isomersthat form technical HCH (which used to be applied frequently instead ofpure γ-HCH) with various LinALinB ratios and determined metabolicprofiles of sequential biotransformations Analyses of these profileshelped determine the environmental fate of HCH isomers and showedthat the original HCH degradation pathway is optimized by evolutionfor γ-HCH but not for other isomers that co-pollute contaminated sites

The first report of in vitro assembly of a fully functional syntheticbiodegradation pathway was published by Dvorak and co-workers(Dvorak et al 2014a) The authors adopted the cell-free strategy usingimmobilized engineered haloalkane dehalogenase DhaA31 halohydrindehalogenase HheC and epoxide hydrolase EchA for TCP bio-transformation to harmless valuable glycerol in contaminated water(Fig 6D) The practical utility of bacterial recombinants that mineralizeTCP (desccribed in Sections 231 and 232) is limited by substratetoxicity and by legislative barriers on the application of GMO(Kurumbang et al 2014 Samin et al 2014) Probing the function ofthe pathway in in vitro conditions therefore lied ready to hand Theauthors successfully immobilized the pathway in the form of purifiedenzymes or cell-free extracts in cross-linked enzyme aggregates andlens-shaped polyvinyl alcohol particles The immobilized pathwayshowed almost the same efficiency of TCP-to-glycerol conversion asmixture of free enzymes Physicochemical properties of polyvinyl al-cohol lentils allowed recovery from the reaction mixture and recyclingof the pathway In addition the immobilized enzymes retainedgt 50of their initial activities for over 2 months of continuous operation in abench-top packed bed reactor The study indicated that the im-mobilized route removes TCP from heavily contaminated water with apollutant concentration (~1 gL) that would be detrimental to theliving degraders One can anticipate that such conversions of toxic TCPto useful glycerol could even pave the way for prospective valorizationof this waste chemical

Although this biotechnology requires further validation and tuningthe work showed that in vitro assembly of natural or synthetic enzy-matic pathways with engineered enzymes is a promising concept for thebiodegradation of polluting compounds and toxic industrial wasteproducts Transport of such pathways via non-live carriers is relatedconceptually to efforts to produce and release complex therapeuticagents for human use In both cases their application demands thedevelopment of a sort of environmental Galenic science that enablessupply of the engineered biological remedy when and where needed

4 Towards planet-wide bioremediation interventions CO2

capture as a large-scale challenge

Environmental deterioration due to emissions of recalcitrant che-micals seems to pale when compared to the problem of global warmingcaused by the release of greenhouse gases that originate in human ac-tivities The bulk of these gases comprise four natural molecules carbondioxide (CO2) methane (CH4) nitrous oxide (N2O) and ozone (O3) aswell as one class of xenobiotics the chlorofluorocarbons or CFC Giventhe diluted aereal and global nature of this problem the strategiescontemplated for tackling these chemical species differ considerablyfrom those that centre on site-specific pollution issues Most proposalsthus far focus much more on reducing emissions than on capture andreturning to innocuous chemical or mineral forms All these compoundshave their own natural biogeochemical cycle and in theory simplyreducing their input into the biosphere should restore the originalequilibrium (Rockstroumlm et al 2017) Recent ecological thought none-theless postulates that the impact of climate change in many ecosystemsis already irreversible by natural means and call for large-scale inter-ventions that could help to resolve this impasse (de Lorenzo et al2016) In this case what types of options could be considered from asystemic biology perspective

Some incipient attempts have appeared recently mostly in the fieldof engineering bacteria with a greater capacity for non-photosyntheticfixing of CO2 (Erb and Zarzycki 2016) One option is to use the sixalternative pathways of autotrophic carbon fixation known in nature(Fuchs 2011 Hicks et al 2017) as a starting point to optimize suchnatural processes Another possibilty is the invention of new routes byrewiring or modifying existing enzymes in a new configuration A re-markable example of this solution is the work of Antonovsky et al(2016) who showed that combining metabolic rewiring recombinantprotein expression and laboratory evolution enables the production ofsugars and other biomass constituents by a fully functional Calvin-Benson-Bassham (CBB) cycle in E coli In the bacteria designed in thisway carbon is fixed via a refactored CBB cycle whereas reducingpower and energy are derived from pyruvate oxidation (Fig 7) It isinteresting to note how evolutionary approaches adjust fluxes andgenerate connections between the designed CBB cycle and the hostbiochemical network that cannot be predicted or designed

A separate approach was recently developed by Schwander et al(2016) who developed a synthetic route for continuous CO2 fixation invitro by composing a cycle formed of 17 enzymes that convert CO2 intoorganic molecules The cycle was draughted by metabolic retro-synthesis with enzymes from nine organisms from three domains of lifefurther optimized through rounds of protein engineering and metabolicproofreading Although this completely designed pathway has not yetbeen implemented in vivo (eg in a bacterial carrier) it is a question oftime until it is done and propagated throughout an entire microbialcommunity (de Lorenzo et al 2016)

Finally todays systemic approaches enable the invention of en-zymes from scratch through de novo protein design followed by directedevolution which opens perspectives for improving the natural state ofaffairs regarding fixation of CO2 (and other greenhouse gases) as well asvalorization of this waste as biotechnological feedstocks (Huang et al2016 Renata et al 2015) A separate matter is the large-scale de-ployment of the microbial agents for CO2 retrieval Existing technologyallows their implementation in biofilters and bioreactors that captureemissions at source But how can we spread such desirable catalyticproperties at a very large even at planetary level to make a differenceSuch technologies are not yet availablemdashlet alone that they raise a largenumber of safety questions But they must necessarily be developed ifwe are not just to control greenhouse gas discharges but also aim attheir eventual reduction to pre-industrial levels (de Lorenzo et al2016)

Unfortunately greenhouse gases are not the only globally wide-spread molecules to be concerned about Much before global warming

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associated to CO2 emissions became so conspicuous widespread pol-lution by endocrine disruptors (eg alkylphenols bisphenols DDTPCBs polybrominated diphenyl ethers phthalates and per-fluorooctanoic acid) was well documented Moreover other silent pol-lutants originate in the pharmaceutical industry eg antibiotics(Marathe et al 2017) and hormones They end up in a large variety ofecosystems in a diluted but still active form Finally plastics (egpolycarbonate polystyrene polyethylene terephthalate lowhigh-density polyethylene polypropylene and polyvinyl chloride) are cur-rently receiving a considerable focus as a major environmental pro-blem A number of microbial strains able to totally or partially act uponthese compounds have been isolated (see above) but in general thebiodegradation process is very slow The global nature of these types ofpollution thus requires the development of new efficient microbialpathways for their elimination quite a challenge for contemporarysynthetic biologists and metabolic engineers (de Lorenzo 2017)Butmdashas is the case for CO2 capture mentioned abovemdashpathways andhosts able to deploy them are not enough Effective strategies for globaldispersion of biodegradative activities of interest are badly nee-dedmdashperhaps inspired in gene drives or some type of self-propagatingmassive horizontal gene transfer (de Lorenzo et al 2016)

5 Conclusions and perspectives

The practical examples described in the preceding sections showthat technologies of systemic biology offer promise not only for therenaissance of bioremediation using anthropogenically enhanced mi-crobial degraders but also for entry to the new era of Bioremediation30 The bottlenecks described at the beginning of this text are one byone being released or removed with the help of new computational andexperimental tools Databases and pathway prediction systems help the

user to select suitable chemically and energetically feasible traits fordesired tasks Multi-omic analyses provide valuable information thatfacilitates choice of a suitable host Genome-scale and kinetic modelsapplied hand-in-hand with genetic engineering techniques enable tai-loring of gene expression reduction of metabolic burden and pathwayoptimization in the context of host metabolism The visionary conceptsof synthetic biology and global scale CO2 bioremediation open up newdimensions for engineering microbial degraders General work schemesand standards for design building and fine-tuning of selected bio-chemical routes networks and whole-cell biocatalysts are simulta-neously becoming better defined and accepted by the community

Despite the clear progress over the last decade of biochemical andbiological engineering the vast complexity of the living cell remainsthe major hurdle for any attempt for fully rational pathway design Inthe case of biosensing and biodegradation pathway design and pro-spective applications of the genetically-modified microbes this problemis exacerbated by the complexity of intercellular and interspecific in-teractions and by the still poorly understood interplay between thebiotic and abiotic factors that govern contaminant biodegradation inpolluted ecosystems (de Lorenzo 2008 Meckenstock et al 2015) Weassume that in principle there are two ways to address this challengenow and in future

The first admits that complexity of biological systems will not beresolved anytime soon and thus bets on combining rational designs withnatural evolution at the end of the DBTA cycle thus expanding it toDBTAE (Design-Build-Test-Analyze-Evolve) Adaptive laboratory evo-lution (ALE) is a high calibre tool of this approach ALE is now frequentlyused by academic and industrial laboratories to evolve desired prop-erties in environmental bacteria and for fine-tuning recombinant mi-croorganisms but its principles have been well known since the time ofthe very first attempts to modify microbial phenotypes (Kellogg et al

Fig 7 Hemiautotrophic growth of engineered E coli al-lowed by decoupling energy production and carbon fixa-tion The hemiautotrophic growth was observed after per-forming three distinct steps (i) Calvin-Benson-Bassham(CBB) cycle for the biosynthesis of sugars from CO2 wascompleted by introducing only two exogenous enzymaticactivities phosphoribulokinase (prkA) and RuBisCO (ii)phosphoglycerate mutase genes gpmA and gpmM were de-leted to separate central metabolism into two sub-systemsie a CO2-fixing part that included PrkA RuBisCO upperglycolysis and the pentose phosphate pathway and an en-ergy-supplying module that employed lower glycolysis andthe TCA cycle (iii) the engineered strain bearing furthermutations (ΔpfkA ΔpfkB Δzwf) was exposed to the strongselective pressure towards greater carbon fixation in xylose-limited chemostat with a surplus pyruvate and CO2Emerged mutations made designed CBB cycle functionaland the hemiautotrophic strain that replaced utilisation ofxylose with CO2 fixation dominated the populationFigure adapted from Antonovsky et al (2016)

P Dvořaacutek et al Biotechnology Advances 35 (2017) 845ndash866

860

1981) In biodegradation research exposing microorganisms with de-sirable catabolic traits to the target chemical(s) for prolonged intervalsin chemostat or shaken-flask cultures enabled isolation of bacteria ableto use persistent compounds such as 245-trichlorophenoxyacetic acid(the defoliating Agent Orange) or helped improve atrazine degradationrates by Pseudomonas sp ADP or 24-dichlorophenoxyacetic by Ral-stonia sp TFD41 (Devers et al 2008 Kellogg et al 1981 Nakatsuet al 1998) Nonetheless the potential of ALE in engineering microbialdegraders has yet not been fully exploited ALE will be an ideal tool forempowering rationally pre-designed recombinants with resistance todiverse environmental stresses encountered in directed biodegradationprocesses or in polluted ecosystems (Nicolaou et al 2010 Oide et al2015 Wang et al 2016) When combined with whole-genome se-quencing and reverse engineering ALE as an evolutionary ldquoblindrdquo ap-proach can paradoxically contribute to further rationalizing the field byexposing otherwise unpredictable complex changes in multitrait phe-notypes

The second approach bets on technology without compromise andwill take advantage of continuing technological revolution in biologyand related sciences We recently witnessed the attempt of syntheticbiologists to implement automation as we know it from electronic en-gineering in the design of orthogonal genetic circuits that would co-ordinate the actions of selected microbial chassis (Nielsen et al 2016)The genetic ldquogutsrdquo and pathway enzymes of the chassis can be designedand synthesized de novo or be tailored rapidly with surgical precisionusing new genome editing and protein engineering tools (Huang et al2016 Hutchison et al 2016 Nyerges et al 2016 Ran et al 2013Renata et al 2015) Although the circuit design tools still work pre-dominantly with simple logic gates the robustness and utility of theavailable minimal cells is limited and de novo-designed enzymes havelow activity we can assume that the efficiency reliability and timedemand of such exercises will be further improved by progress incomputer science and artificial intelligence development that couldcrack the complexity of life A purely technological approach wouldomit any unknowns from the DBTA cycle with help of reliable com-putational simulations thus expanding it to DSBTA (Design-Simulate-Build-Test-Analyze) and providing space for construction of whole-cellcatalysts perfectly tailored for specific biodegradation tasks

The challenges of both approaches applied to directed in situ bior-emediation encompass the development of test schemes that will ex-pose engineered organisms to mimicked environmental conditions in-cluding limiting carbon sources lack of oxygen or redox recycling masstransfer perturbations or interspecific predation (Meckenstock et al2015) A critical issue will be the choice and establishment of newchassis organisms better suited to field biotransformations than thecurrently available laboratory strains in terms of resistance to harshconditions including extreme pH temperature osmotic pressure orfluctuating concentrations of toxic chemicals (Adams 2016) Thesenew strains must simultaneously be reliable amenable to genetic ma-nipulation have mapped genomes and ideally metabolic models athand The in situ bioremediation quests will be complicated by thevarying nature of polluting compounds their mixtures and transfor-mation products all of which can be present at a single site (Sarigiannisand Hansen 2012) Future microbial degraders must therefore be de-signed to cope with several problem compounds in parallel and notonly in terms of degradation or mineralization The succesful conver-sion of dangerous contaminants into usable molecules that can be fur-ther valorized by whole-cell or cell-free biocatalysts is a desirablestarting point for the development of new technologies that extendstandard concepts of biodegradation and bioremediation (Dvorak et al2014a Wigginton et al 2012) Microbe-driven trash-to-treasure con-versions are known from established biomass valorization processesbut this concept can also be implemented in wastewater treatmentmetal and plastic recycling or in direct valorization of industrial by-product streams or captured greenhouse gases (Bornscheuer 2016Koutinas et al 2014 Nancharaiah et al 2016 Wierckx et al 2015)

Even so the major challenge to the entire field of engineered de-graders is not related to continued progress in the development of im-proved technologies which is inevitable but rather to the dissemina-tion and popularization of achievements already attained Publicenvironmental concerns and regulatory constraints have not just re-stricted field tests of genetically modified microbes but also affect thequality of fundamental research and by the same token overall pro-gress in the field The exercises described in this review will only have achance to become real enterprises if the general population is inspiredby biotechnology and accepts it as an inseparable part of our dailyroutine as it did for information technology The new systemic dis-ciplines that make life less puzzling as well as emerging do-it-yourselfmovement in biotechnology can undoubtedly contribute to a generalchange of attitude (de Lorenzo and Schmidt 2017) Such change isvital because our ability to minimize production of waste and pollutingchemicals remove existing waste or use it in bioprocesses to formvalue-added compounds will shape the fate of our society on a globalscale

Acknowledgements

PD is the holder of the Marie Sklodowska-Curie grant No 704410(FUTURE) The work in Authors Laboratory was funded by theCAMBIOS Project of the Spanish Ministry of Economy andCompetitiveness RTC-2014-1777-3 (MINECO) HELIOS Project of theSpanish Ministry of Economy and Competitiveness BIO 2015-66960-C3-2-R (MINECOFEDER) and the ARISYS (ERC-2012-ADG-322797)EmPowerPutida (EU-H2020-BIOTEC-2014-2015-6335536) andRaft4Biotech (720776) contracts of the European Union JD is sup-ported also by the Czech Ministry of Education (LQ1605 LO1214LM2015055) and Czech Grant Agency (GA16-06096S) The financialsupport of The Novo Nordisk Foundation to PIN is also gratefully ac-knowledged

References

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Gilbert ES Walker AW Keasling JD 2003 A constructed microbial consortium forbiodegradation of the organophosphorus insecticide parathion Appl MicrobiolBiotechnol 61 77ndash81 httpdxdoiorg101007s00253-002-1203-5

Glass JI Assad-Garcia N Alperovich N Yooseph S Lewis MR Maruf MHutchison CA Smith HO Venter JC 2006 Essential genes of a minimal bac-terium Proc Natl Acad Sci U S A 103 425ndash430 httpdxdoiorg101073pnas0510013103

Glick BR 1995 Metabolic load and heterologous gene expression Biotechnol Adv 13247ndash261

Guazzaroni M-E Herbst F-A Lores I Tamames J Pelaacuteez AI Loacutepez-Corteacutes NAlcaide M Del Pozo MV Vieites JM von Bergen M Gallego JLR BargielaR Loacutepez-Loacutepez A Pieper DH Rosselloacute-Moacutera R Saacutenchez J Seifert J FerrerM 2013 Metaproteogenomic insights beyond bacterial response to naphthaleneexposure and bio-stimulation ISME J 7 122ndash136 httpdxdoiorg101038ismej201282

Gredell JA Frei CS Cirino PC 2012 Protein and RNA engineering to customizemicrobial molecular reporting Biotechnol J 7 477ndash499 httponlinelibrarywileycomdoi101002biot201100266full

Gutierrez T Singleton DR Berry D Yang T Aitken MD Teske A 2013Hydrocarbon-degrading bacteria enriched by the Deepwater Horizon oil spill iden-tified by cultivation and DNA-SIP ISME J 7 2091ndash2104 httpdxdoiorg101038ismej201398

Hadadi N Hafner J Shajkofci A Zisaki A Hatzimanikatis V 2016 ATLAS ofbiochemistry a repository of all possible biochemical reactions for synthetic biologyand metabolic engineering studies ACS Synth Biol 5 1155ndash1166 httpdxdoiorg101021acssynbio6b00054

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He W Yuan S Zhong W-H Siddikee MA Dai C-C 2016 Application of geneti-cally engineered microbial whole-cell biosensors for combined chemosensing ApplMicrobiol Biotechnol 100 1109ndash1119 httpdxdoiorg101007s00253-015-7160-6

Hennig S Roumldel G Ostermann K 2015 Artificial cell-cell communication as anemerging tool in synthetic biology applications J Biol Eng 9 13 httpdxdoiorg101186s13036-015-0011-2

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Hodgman CE Jewett MC 2012 Cell-free synthetic biology thinking outside the cellMetab Eng 14 261ndash269 httpdxdoiorg101016jymben201109002

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Total degradation of pentachloroethane by an engineered Alcaligenes strain expres-sing a modified camphor monooxygenase and a hybrid dioxygenase BiosciBiotechnol Biochem 68 1353ndash1356 httpdxdoiorg101271bbb681353

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Janssen DB Dinkla IJT Poelarends GJ Terpstra P 2005 Bacterial degradation ofxenobiotic compounds evolution and distribution of novel enzyme activitiesEnviron Microbiol 7 1868ndash1882 httpdxdoiorg101111j1462-2920200500966x

Kanehisa M Goto S Sato Y Kawashima M Furumichi M Tanabe M 2014 Datainformation knowledge and principle back to metabolism in KEGG Nucleic AcidsRes 42 D199ndash205 httpdxdoiorg101093nargkt1076

Karig DK 2017 Cell-free synthetic biology for environmental sensing and remediationCurr Opin Biotechnol 45 69ndash75 httpdxdoiorg101016jcopbio201701010

Kellogg ST Chatterjee DK Chakrabarty AM 1981 Plasmid-assisted molecularbreeding new technique for enhanced biodegradation of persistent toxic chemicalsScience 214 1133ndash1135

Khersonsky O Tawfik DS 2010 Enzyme promiscuity a mechanistic and evolutionaryperspective Annu Rev Biochem 79 471ndash505 httpdxdoiorg101146annurev-biochem-030409-143718

Kim J Copley SD 2012 Inhibitory cross-talk upon introduction of a new metabolicpathway into an existing metabolic network Proc Natl Acad Sci U S A 109E2856ndash2864 httpdxdoiorg101073pnas1208509109

Kim S Baek S-H Lee K Hahn J-S 2013a Cellulosic ethanol production using ayeast consortium displaying a minicellulosome and β-glucosidase Microb CellFactories 12 14 httpdxdoiorg1011861475-2859-12-14

Kim J Oliveros JC Nikel PI de Lorenzo V Silva-Rocha R 2013b Transcriptomicfingerprinting of Pseudomonas putida under alternative physiological regimesEnviron Microbiol Rep 5 883ndash891 httpdxdoiorg1011111758-222912090

Kim S Thiessen PA Bolton EE Chen J Fu G Gindulyte A Han L He J He SShoemaker BA Wang J Yu B Zhang J Bryant SH 2016 PubChem substanceand compound databases Nucleic Acids Res 44 D1202ndash1213 httpdxdoiorg101093nargkv951

King ZA Lloyd CJ Feist AM Palsson BO 2015 Next-generation genome-scalemodels for metabolic engineering Curr Opin Biotechnol 35 23ndash29 httpdxdoiorg101016jcopbio201412016

Kleinstiver BP Pattanayak V Prew MS Tsai SQ Nguyen NT Zheng Z JoungJK 2016 High-fidelity CRISPR-Cas9 nucleases with no detectable genome-wide off-target effects Nature 529 490ndash495 httpdxdoiorg101038nature16526

Kosuri S Church GM 2014 Large-scale de novo DNA synthesis technologies andapplications Nat Methods 11 499ndash507 httpdxdoiorg101038nmeth2918

Koutinas AA Vlysidis A Pleissner D Kopsahelis N Lopez Garcia I Kookos IKPapanikolaou S Kwan TH Lin CSK 2014 Valorization of industrial waste andby-product streams via fermentation for the production of chemicals and biopoly-mers Chem Soc Rev 43 2587ndash2627 httpdxdoiorg101039c3cs60293a

Krewski D Andersen ME Mantus E Zeise L 2009 Toxicity testing in the 21stcentury implications for human health risk assessment Risk Anal 29 474ndash479httpdxdoiorg101111j1539-6924200801150x

Kube M Chernikova TN Al-Ramahi Y Beloqui A Lopez-Cortez N Guazzaroni M-E Heipieper HJ Klages S Kotsyurbenko OR Langer I Nechitaylo TYLuumlnsdorf H Fernaacutendez M Juaacuterez S Ciordia S Singer A Kagan O Egorova OPetit PA Stogios P Kim Y Tchigvintsev A Flick R Denaro R Genovese MAlbar JP Reva ON Martiacutenez-Gomariz M Tran H Ferrer M Savchenko AYakunin AF Yakimov MM Golyshina OV Reinhardt R Golyshin PN 2013Genome sequence and functional genomic analysis of the oil-degrading bacteriumOleispira antarctica Nat Commun 4 2156 httpdxdoiorg101038ncomms3156

Kuipers RK Joosten H-J van Berkel WJH Leferink NGH Rooijen E IttmannE van Zimmeren F Jochens H Bornscheuer U Vriend G dos Santos VAPMSchaap PJ 2010 3DM systematic analysis of heterogeneous superfamily data todiscover protein functionalities Proteins 78 2101ndash2113 httpdxdoiorg101002prot22725

Kurumbang NP Dvorak P Bendl J Brezovsky J Prokop Z Damborsky J 2014Computer-assisted engineering of the synthetic pathway for biodegradation of a toxicpersistent pollutant ACS Synth Biol 3 172ndash181 httpdxdoiorg101021sb400147n

Latino DARS Wicker J Guumltlein M Schmid E Kramer S Fenner K 2017 Eawag-Soil in enviPath a new resource for exploring regulatory pesticide soil biodegrada-tion pathways and half-life data Environ Sci Processes Impacts 19 449ndash464httpdxdoiorg101039c6em00697c

Lee J Cao L Ow SY Barrios-Llerena ME Chen W Wood TK Wright PC 2006Proteome changes after metabolic engineering to enhance aerobic mineralization ofcis‑12-dichloroethylene J Proteome Res 5 1388ndash1397 httpdxdoiorg101021pr060008t

Lee JW Na D Park JM Lee J Choi S Lee SY 2012 Systems metabolic en-gineering of microorganisms for natural and non-natural chemicals Nat Chem Biol8 536ndash546 httpdxdoiorg101038nchembio970

Lehrbach PR Zeyer J Reineke W Knackmuss HJ Timmis KN 1984 Enzymerecruitment in vitro use of cloned genes to extend the range of haloaromatics de-graded by Pseudomonas sp strain B13 J Bacteriol 158 1025ndash1032

Li G-Q Ma T Li S-S Li H Liang F-L Liu R-L 2007 Improvement of di-benzothiophene desulfurization activity by removing the gene overlap in the dsz

P Dvořaacutek et al Biotechnology Advances 35 (2017) 845ndash866

863

operon Biosci Biotechnol Biochem 71 849ndash854 httpdxdoiorg101271bbb60189

Li Z Yoshida N Wang A Nan J Liang B Zhang C Zhang D Suzuki D Zhou XXiao Z Katayama A 2015 Anaerobic mineralization of 246-tribromophenol toCO2 by a synthetic microbial community comprising Clostridium Dehalobacter andDesulfatiglans Bioresour Technol 176 225ndash232 httpdxdoiorg101016jbiortech201410097

Libis V Deleacutepine B Faulon J-L 2016 Expanding biosensing abilities through com-puter-aided design of metabolic pathways ACS Synth Biol 5 1076ndash1085 httpdxdoiorg101021acssynbio5b00225

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Liu J Tan L Wang J Wang Z Ni H Li L 2016 Complete biodegradation ofchlorpyrifos by engineered Pseudomonas putida cells expressing surface-immobilizedlaccases Chemosphere 157 200ndash207 httpdxdoiorg101016jchemosphere201605031

Loeschcke A Markert A Wilhelm S Wirtz A Rosenau F Jaeger K-E Drepper T2013 TREX a universal tool for the transfer and expression of biosynthetic pathwaysin bacteria ACS Synth Biol 2 22ndash33 httpdxdoiorg101021sb3000657

Long MR Ong WK Reed JL 2015 Computational methods in metabolic en-gineering for strain design Curr Opin Biotechnol 34 135ndash141 httpdxdoiorg101016jcopbio201412019

Lorenzo V Loza-Tavera H 2011 Microbial bioremediation of chemical pollutants howbacteria cope with multi-stress environmental scenarios In Storz G Hengge R(Eds) Bacterial Stress Responses Second edition ASM Press Washington DC pp481ndash492 httpdxdoiorg1011289781555816841ch30

Lovley DR Phillips EJP Gorby YA Landa ER 1991 Microbial reduction of ur-anium Nature 350 413ndash416 httpdxdoiorg101038350413a0

Lykidis A Peacuterez-Pantoja D Ledger T Mavromatis K Anderson IJ Ivanova NNHooper SD Lapidus A Lucas S Gonzaacutelez B Kyrpides NC 2010 The completemultipartite genome sequence of Cupriavidus necator JMP134 a versatile pollutantdegrader PLoS One 5 e9729 httpdxdoiorg101371journalpone0009729

Marathe NP Pal C Gaikwad SS Jonsson V Kristiansson E Larsson DGJ 2017Untreated urban waste contaminates Indian river sediments with resistance genes tolast resort antibiotics Water Res 124 388ndash397 httpdxdoiorg101016jwatres201707060

Martiacutenez I Mohamed ME-S Rozas D Garciacutea JL Diacuteaz E 2016 Engineering syn-thetic bacterial consortia for enhanced desulfurization and revalorization of oil sulfurcompounds Metab Eng 35 46ndash54 httpdxdoiorg101016jymben201601005

Martiacutenez-Garciacutea E de Lorenzo V 2012 Transposon-based and plasmid-based genetictools for editing genomes of gram-negative bacteria Methods Mol Biol 813267ndash283 (Clifton NJ) httpdxdoiorg101007978-1-61779-412-4_16

Martiacutenez-Garciacutea E de Lorenzo V 2016 The quest for the minimal bacterial genomeCurr Opin Biotechnol 42 216ndash224 httpdxdoiorg101016jcopbio201609001

Martiacutenez-Garciacutea E Aparicio T de Lorenzo V Nikel PI 2014a New transposon toolstailored for metabolic engineering of gram-negative microbial cell factories FrontBioeng Biotechnol 2 46 httpdxdoiorg103389fbioe201400046

Martiacutenez-Garciacutea E Nikel PI Aparicio T de Lorenzo V 2014b Pseudomonas 20genetic upgrading of P putida KT2440 as an enhanced host for heterologous geneexpression Microb Cell Factories 13 159 httpdxdoiorg101186s12934-014-0159-3

Martiacutenez-Garciacutea E Aparicio T Gontildei-Moreno A Fraile S de Lorenzo V 2015 SEVA20 an update of the Standard European Vector Architecture for de-re-constructionof bacterial functionalities Nucleic Acids Res 43 D1183ndash1189 httpdxdoiorg101093nargku1114

Meckenstock RU Elsner M Griebler C Lueders T Stumpp C Aamand J AgathosSN Albrechtsen H-J Bastiaens L Bjerg PL Boon N Dejonghe W HuangWE Schmidt SI Smolders E Soslashrensen SR Springael D van Breukelen BM2015 Biodegradation updating the concepts of control for microbial cleanup incontaminated aquifers Environ Sci Technol 49 7073ndash7081 httpdxdoiorg101021acsest5b00715

Medema MH van Raaphorst R Takano E Breitling R 2012 Computational tools forthe synthetic design of biochemical pathways Nat Rev Microbiol 10 191ndash202httpdxdoiorg101038nrmicro2717

Mendes P Hoops S Sahle S Gauges R Dada J Kummer U 2009 Computationalmodeling of biochemical networks using COPASI Methods Mol Biol 500 17ndash59(Clifton NJ) httpdxdoiorg101007978-1-59745-525-1_2

Minty JJ Singer ME Scholz SA Bae C-H Ahn J-H Foster CE Liao JC LinXN 2013 Design and characterization of synthetic fungal-bacterial consortia fordirect production of isobutanol from cellulosic biomass Proc Natl Acad Sci U S A110 14592ndash14597 httpdxdoiorg101073pnas1218447110

Moraiumls S Shterzer N Lamed R Bayer EA Mizrahi I 2014 A combined cell-con-sortium approach for lignocellulose degradation by specialized Lactobacillus plan-tarum cells Biotechnol Biofuels 7 112 httpdxdoiorg1011861754-6834-7-112

Morgat A Axelsen KB Lombardot T Alcaacutentara R Aimo L Zerara M Niknejad A

Belda E Hyka-Nouspikel N Coudert E Redaschi N Bougueleret L SteinbeckC Xenarios I Bridge A 2015 Updates in Rheamdasha manually curated resource ofbiochemical reactions Nucleic Acids Res 43 D459ndash464 httpdxdoiorg101093nargku961

Mulbry W Ahrens E Karns J 1998 Use of a field-scale biofilter for the degradation ofthe organophosphate insecticide coumaphos in cattle dip wastes Pestic Sci 52268ndash274 httpdxdoiorg101002(SICI)1096-9063(199803)523lt268AID-PS719gt30CO2-2

Muschiol J Peters C Oberleitner N Mihovilovic MD Bornscheuer UT Rudroff F2015 Cascade catalysismdashstrategies and challenges en route to preparative syntheticbiology Chem Commun (Camb) 51 5798ndash5811 httpdxdoiorg101039c4cc08752f

Mutlu BR Yeom S Wackett L Aksan A 2015 Modelling and optimization of abioremediation system utilizing silica gel encapsulated whole-cell biocatalyst ChemEng J 259 574ndash580 httpdxdoiorg101016jcej201407130

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Nancharaiah YV Mohan SV Lens PNL 2016 Biological and bioelectrochemicalrecovery of critical and scarce metals Trends Biotechnol 34 137ndash155 httpdxdoiorg101016jtibtech201511003

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Nielsen AAK Der BS Shin J Vaidyanathan P Paralanov V Strychalski EARoss D Densmore D Voigt CA 2016 Genetic circuit design automation Science352 aac7341 httpdxdoiorg101126scienceaac7341

Nikel PI de Lorenzo V 2013 Engineering an anaerobic metabolic regime inPseudomonas putida KT2440 for the anoxic biodegradation of 13-dichloroprop-1-eneMetab Eng 15 98ndash112 httpdxdoiorg101016jymben201209006

Nikel PI Peacuterez-Pantoja D de Lorenzo V 2013 Why are chlorinated pollutants sodifficult to degrade aerobically Redox stress limits 13-dichloroprop-1-ene metabo-lism by Pseudomonas pavonaceae Philos Trans R Soc Lond Ser B Biol Sci 36820120377 httpdxdoiorg101098rstb20120377

Nikel PI Martiacutenez-Garciacutea E de Lorenzo V 2014 Biotechnological domestication ofpseudomonads using synthetic biology Nat Rev Microbiol 12 368ndash379 httpdxdoiorg101038nrmicro3253

Nikel PI Chavarriacutea M Fuhrer T Sauer U de Lorenzo V 2015 Pseudomonas putidaKT2440 strain metabolizes glucose through a cycle formed by enzymes of the Entner-Doudoroff Embden-Meyerhof-Parnas and pentose phosphate pathways J BiolChem 290 25920ndash25932 httpdxdoiorg101074jbcM115687749

Nikel PI Chavarriacutea M Danchin A de Lorenzo V 2016a From dirt to industrialapplications Pseudomonas putida as a synthetic biology chassis for hosting harshbiochemical reactions Curr Opin Chem Biol 34 20ndash29 httpdxdoiorg101016jcbpa201605011

Nikel PI Peacuterez-Pantoja D de Lorenzo V 2016b Pyridine nucleotide transhy-drogenases enable redox balance of Pseudomonas putida during biodegradation ofaromatic compounds Environ Microbiol 18 3565ndash3582 httpdxdoiorg1011111462-292013434

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Oide S Gunji W Moteki Y Yamamoto S Suda M Jojima T Yukawa H Inui M2015 Thermal and solvent stress cross-tolerance conferred to Corynebacterium glu-tamicum by adaptive laboratory evolution Appl Environ Microbiol 81 2284ndash2298httpdxdoiorg101128AEM03973-14

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Paddon CJ Keasling JD 2014 Semi-synthetic artemisinin a model for the use ofsynthetic biology in pharmaceutical development Nat Rev Microbiol 12 355ndash367httpdxdoiorg101038nrmicro3240

Parales RE Ditty JL 2005 Laboratory evolution of catabolic enzymes and pathwaysCurr Opin Biotechnol 16 315ndash325 httpdxdoiorg101016jcopbio200503008

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Pascual J Udaondo Z Molina L Segura A Esteve-Nuacutentildeez A Caballero A DuqueE Ramos JL van Dillewijn P 2015 Draft genome sequence of Pseudomonas putidaJLR11 a facultative anaerobic 246-trinitrotoluene biotransforming bacteriumGenome Announc 3 httpdxdoiorg101128genomeA00904-15

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Ravikumar S Baylon MG Park SJ Choi J-I 2017 Engineered microbial biosensorsbased on bacterial two-component systems as synthetic biotechnology platforms inbioremediation and biorefinery Microb Cell Factories 16 62 httpdxdoiorg101186s12934-017-0675-z

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Rollin JA Martin del Campo J Myung S Sun F You C Bakovic A Castro RChandrayan SK Wu C-H Adams MWW Senger RS Zhang Y-HP 2015High-yield hydrogen production from biomass by in vitro metabolic engineeringmixed sugars coutilization and kinetic modeling Proc Natl Acad Sci U S A 1124964ndash4969 httpdxdoiorg101073pnas1417719112

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Santacoloma PA Sin G Gernaey KV Woodley JM 2011 Multienzyme-catalyzedprocesses next-generation biocatalysis Org Process Res Dev 15 203ndash212 httpdxdoiorg101021op1002159

Santos CNS Yoshikuni Y 2014 Engineering complex biological systems in bacteriathrough recombinase-assisted genome engineering Nat Protoc 9 1320ndash1336

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Schmidt M (Ed) 2012 Synthetic Biology Industrial and Environmental Applications1st edition Wiley-Blackwell

Schmidt M de Lorenzo V 2016 Synthetic bugs on the loose containment options fordeeply engineered (micro)organisms Curr Opin Biotechnol 38 90ndash96 httpdxdoiorg101016jcopbio201601006

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Scism RA Bachmann BO 2010 Five-component cascade synthesis of nucleotideanalogues in an engineered self-immobilized enzyme aggregate Chembiochem EurJ Chem Biol 11 67ndash70 httpdxdoiorg101002cbic200900620

Scott SR Hasty J 2016 Quorum sensing communication modules for microbialconsortia ACS Synth Biol 5 969ndash977 httpdxdoiorg101021acssynbio5b00286

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Sheldon RA 2011 Characteristic features and biotechnological applications of cross-linked enzyme aggregates (CLEAs) Appl Microbiol Biotechnol 92 467ndash477 httpdxdoiorg101007s00253-011-3554-2

Shi L Dong H Reguera G Beyenal H Lu A Liu J Yu H-Q Fredrickson JK2016 Extracellular electron transfer mechanisms between microorganisms and mi-nerals Nat Rev Microbiol 14 651ndash662 httpdxdoiorg101038nrmicro201693

Si T Xiao H Zhao H 2015 Rapid prototyping of microbial cell factories via genome-scale engineering Biotechnol Adv 33 1420ndash1432 httpdxdoiorg101016jbiotechadv201411007

Silva-Rocha R de Lorenzo V 2014 Engineering multicellular logic in bacteria withmetabolic wires ACS Synth Biol 3 204ndash209 httpdxdoiorg101021sb400064y

Siu K-H Chen RP Sun Q Chen L Tsai S-L Chen W 2015 Synthetic scaffolds forpathway enhancement Curr Opin Biotechnol 36 98ndash106 httpdxdoiorg101016jcopbio201508009

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Sohn SB Kim TY Park JM Lee SY 2010 In silico genome-scale metabolic ana-lysis of Pseudomonas putida KT2440 for polyhydroxyalkanoate synthesis degradationof aromatics and anaerobic survival Biotechnol J 5 739ndash750 httpdxdoiorg101002biot201000124

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St-Pierre F Cui L Priest DG Endy D Dodd IB Shearwin KE 2013 One-stepcloning and chromosomal integration of DNA ACS Synth Biol 2 537ndash541 httpdxdoiorg101021sb400021j

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Tolia NH Joshua-Tor L 2006 Strategies for protein coexpression in Escherichia coliNat Methods 3 55ndash64 httpdxdoiorg101038nmeth0106-55

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Troumlgl J Krhůtkovaacute O Pilařovaacute V Daacuteňovaacute P Holiacuteček R Kohlovaacute M Hejda SSmrčka J Bouškovaacute A Křiklavovaacute L 2012 Removal of nitrates from high-salinitywastewaters from desulphurization process with denitrifying bacteria encapsulated inLentikats Biocatalyst Int J Environ Sci Technol 9 425ndash432 httpdxdoiorg101007s13762-012-0048-4

UniProt Consortium 2015 UniProt a hub for protein information Nucleic Acids Res 43D204ndash212 httpdxdoiorg101093nargku989

Vallenet D Calteau A Cruveiller S Gachet M Lajus A Josso A Mercier JRenaux A Rollin J Rouy Z Roche D Scarpelli C Meacutedigue C 2016MicroScope in 2017 an expanding and evolving integrated resource for communityexpertise of microbial genomes Nucleic Acids Res httpdxdoiorg101093nargkw1101

van Leeuwen JGE Wijma HJ Floor RJ van der Laan J-M Janssen DB 2012

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Directed evolution strategies for enantiocomplementary haloalkane dehalogenasesfrom chemical waste to enantiopure building blocks Chembiochem Eur J ChemBiol 13 137ndash148 httpdxdoiorg101002cbic201100579

Vilchez-Vargas R Junca H Pieper DH 2010 Metabolic networks microbial ecologyand ldquoomicsrdquo technologies towards understanding in situ biodegradation processesEnviron Microbiol 12 3089ndash3104 httpdxdoiorg101111j1462-2920201002340x

Wang HH Isaacs FJ Carr PA Sun ZZ Xu G Forest CR Church GM 2009Programming cells by multiplex genome engineering and accelerated evolutionNature 460 894ndash898 httpdxdoiorg101038nature08187

Wang B Kitney RI Joly N Buck M 2011 Engineering modular and orthogonalgenetic logic gates for robust digital-like synthetic biology Nat Commun 2 508httpdxdoiorg101038ncomms1516

Wang K Schmied WH Chin JW 2012 Reprogramming the genetic code from tri-plet to quadruplet codes Angew Chem Int Ed Eng 51 2288ndash2297 httpdxdoiorg101002anie201105016

Wang B Barahona M Buck M 2013 A modular cell-based biosensor using engineeredgenetic logic circuits to detect and integrate multiple environmental signals BiosensBioelectron 40 368ndash376 httpdxdoiorg101016jbios201208011

Wang L Xue C Wang L Zhao Q Wei W Sun Y 2016 Strain improvement ofChlorella sp for phenol biodegradation by adaptive laboratory evolution BioresourTechnol 205 264ndash268 httpdxdoiorg101016jbiortech201601022

Wei R Oeser T Schmidt J Meier R Barth M Then J Zimmermann W 2016Engineered bacterial polyester hydrolases efficiently degrade polyethylene ter-ephthalate due to relieved product inhibition Biotechnol Bioeng 113 1658ndash1665httpdxdoiorg101002bit25941

Wibberg D Bremges A Dammann-Kalinowski T Maus I Igentildeo MI Vogelsang RKoumlnig C Luque-Almagro VM Roldaacuten MD Sczyrba A Moreno-Viviaacuten CBlasco R Puumlhler A Schluumlter A 2016 Finished genome sequence and methylomeof the cyanide-degrading Pseudomonas pseudoalcaligenes strain CECT5344 as resolvedby single-molecule real-time sequencing J Biotechnol 232 61ndash68 httpdxdoiorg101016jjbiotec201604008

Wicker J Lorsbach T Guumltlein M Schmid E Latino D Kramer S Fenner K 2016enviPathmdashthe environmental contaminant biotransformation pathway resourceNucleic Acids Res 44 D502ndash508 httpdxdoiorg101093nargkv1229

Wierckx N Prieto MA Pomposiello P de Lorenzo V OConnor K Blank LM2015 Plastic waste as a novel substrate for industrial biotechnology MicrobBiotechnol 8 900ndash903 httpdxdoiorg1011111751-791512312

Wigginton N Yeston J Malakoff D 2012 Working with waste More treasure thantrash Introduction Science 337 662ndash663 httpdxdoiorg101126science3376095662

Winsor GL Griffiths EJ Lo R Dhillon BK Shay JA Brinkman FSL 2016Enhanced annotations and features for comparing thousands of Pseudomonas gen-omes in the Pseudomonas genome database Nucleic Acids Res 44 D646ndash653httpdxdoiorg101093nargkv1227

Wittich R-M Wolff P 2007 Growth of the genetically engineered strain Cupriavidusnecator RW112 with chlorobenzoates and technical chlorobiphenyls Microbiology153 186ndash195 httpdxdoiorg101099mic029096-0

Wittich R-M van Dillewijn P Ramos JL 2010 Rational construction of bacterialstrains with newimproved catabolic capabilities for the efficient breakdown of en-vironmental pollutants In Timmis KN (Ed) Handbook of Hydrocarbon and LipidMicrobiology Springer Berlin Heidelberg pp 1247ndash1254

Wolfaardt GM Lawrence JR Robarts RD Caldwell SJ Caldwell DE 1994Multicellular organization in a degradative biofilm community Appl EnvironMicrobiol 60 434ndash446

Wu G Yan Q Jones JA Tang YJ Fong SS Koffas MAG 2016 Metabolicburden cornerstones in synthetic biology and metabolic engineering applicationsTrends Biotechnol 34 652ndash664 httpdxdoiorg101016jtibtech201602010

Xu P Vansiri A Bhan N Koffas MAG 2012 ePathBrick a synthetic biology plat-form for engineering metabolic pathways in E coli ACS Synth Biol 1 256ndash266httpdxdoiorg101021sb300016b

Yadid I Rudolph J Hlouchova K Copley SD 2013 Sequestration of a highly re-active intermediate in an evolving pathway for degradation of pentachlorophenolProc Natl Acad Sci U S A 110 E2182ndash2190 httpdxdoiorg101073pnas1214052110

Yang J Liu R Jiang H Yang Y Qiao C 2012 Selection of a whole-cell biocatalystfor methyl parathion biodegradation Appl Microbiol Biotechnol 95 1625ndash1632httpdxdoiorg101007s00253-011-3792-3

Yang Y Yang J Jiang L 2016 Comment on A bacterium that degrades and assim-ilates poly(ethylene terephthalate) Science 353 759 httpdxdoiorg101126scienceaaf8305

Yoshida S Hiraga K Takehana T Taniguchi I Yamaji H Maeda Y Toyohara KMiyamoto K Kimura Y Oda K 2016a A bacterium that degrades and assimilatespoly(ethylene terephthalate) Science 351 1196ndash1199 httpdxdoiorg101126scienceaad6359

Yoshida S Hiraga K Takehana T Taniguchi I Yamaji H Maeda Y Toyohara KMiyamoto K Kimura Y Oda K 2016b Response to comment on A bacterium thatdegrades and assimilates poly(ethylene terephthalate) Science 353 759 httpdxdoiorg101126scienceaaf8625

Zobel S Benedetti I Eisenbach L de Lorenzo V Wierckx N Blank LM 2015 Tn7-based device for calibrated heterologous gene expression in Pseudomonas putida ACSSynth Biol 4 1341ndash1351 httpdxdoiorg101021acssynbio5b00058

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httpsevacnbcsices accessed 2252017

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  • Bioremediation 30 Engineering pollutant-removing bacteria in the times of systemic biology
    • Introduction
    • Approaches and tools of systems biology and metabolic engineering for tailoring biodegradation pathways
      • Step 1 get to know the contaminant and find a suitable catabolic pathway
        • Databases
        • Pathway prediction systems and toxicity prediction algorithms
        • Detection and quantification of pathway building blocks
          • Step 2 select and get to know a suitable microbial host
            • Omics techniques in studies of bacterial degraders
              • Step 3 build the pathway and optimize its performance in the context of host metabolism
                • Computational tools for pathway and strain optimization
                • Experimental tools for pathway and strain optimization
                • Protein engineering to eliminate bottlenecks of biodegradation pathways
                    • Synthetic biology approaches and tools for biodegradation pathway engineering
                      • Development of robust microbial chassis for biodegradation of toxic chemicals
                      • Development of synthetic microbial consortia for enhanced biodegradation and bioremediation of pollutants
                      • Development of orthogonal systems in bacteria to enhance pollutant biodegradation and bioremediation
                      • Engineering microbial biodegradation pathways in vitro
                        • Towards planet-wide bioremediation interventions CO2 capture as a large-scale challenge
                        • Conclusions and perspectives
                        • Acknowledgements
                        • References
                        • Web references
Page 10: Bioremediation 3.0 Engineering pollutant-removing bacteria ... · biology, metabolic engineering, and synthetic biology, for the sake of understanding and reprograming biological

engineering is the only possible solution Numerous reports from thefirst decade of the 2000s describe application of common protein en-gineering methods such as error-prone PCR DNA shuffling site-di-rected or saturation mutagenesis for engineering activity or selectivityof individual catabolic enzymes to halogenated hydrocarbons (Paralesand Ditty 2005 Wittich et al 2010) Recently the new challenge ofaccumulating plastic waste has attracted the attention of protein en-gineers who try to enhance the activities of certain bacterial or fungalenzymes such as esterases lipases or polyster hydrolases to syntheticpolymers including polyethylene terephthalate (PET) or polyurethanes(Wierckx et al 2015) For instance Wei and colleagues applied acomparison of crystal structures and molecular docking combined withside-directed mutagenesis to improve the activity of cutinase TfCut2from Thermobifida fusca KW3 towards PET at elevated temperaturesthat promote degradation of this oil-derived plastic (Wei et al 2016)Subsequent kinetic and in silico energetic analyses confirmed that theimprovement in PET hydrolysis was the result of a relief of productinhibition caused by single point mutation in the enzymes surface-ex-posed active site New unique PETase and MHETase shown to helpbacterium Indonella sakaiensis to depolymerize and utilize PET arepromissing candidates for protein and metabolic engineering exercisesthat might lead to biotechnological recycling of the polymer(Bornscheuer 2016 Yoshida et al 2016a) Alas such a promise is notdevoid of controversy about the very enzymes that could do the job(Yang et al 2016 Yoshida et al 2016b)

The studies reporting the implantation of constructed mutants in thecontext of the whole biodegradative pathway are nonetheless ratherrare Iwakiri and co-workers successfully applied Alcaligenes sp KF711harbouring engineered monooxygenase P450CAM for the dehalogena-tion of pentachloroethane to trichloroethane in anoxic conditions(Iwakiri et al 2004) In another study promiscuous toluene ortho-monooxygenase and epoxide hydrolase were engineered using DNA-shuffling and saturation mutagenesis the use of mutant genes allowedmore rapid aerobic degradation of chlorinated ethenes with less ac-cumulation of stress-inducing intermediates in recombinant E colibearing the synthetic pathway (Lee et al 2006 Rui et al 2004)

Mutants of DhaA the enzyme that initiates dehalogenation of TCPwere used in three of the previously mentioned studies that focused onTCP pathway engineering (Dvorak et al 2014b Kurumbang et al 2014Samin et al 2014) The DhaA31 variant with 29-fold improved catalyticefficiency towards the chlorinated substrate was prepared by combiningmolecular dynamics simulations of product release from the buried ac-tive site with site-directed and saturation mutagenesis in selected hotspots (Pavlova et al 2009) Another promising mutant with the potentialto remove the second serious bottleneck in the synthetic TCPpathwaymdashenantioselectivity of DhaA and high enantiospecificity ofHheCmdashoriginated from the work of van Leeuwen et al (2012) Theauthors targeted DhaA31 to obtain variants that convert TCP pre-dominantly into (R)-DCP which can be further converted by HheC at amuch higher rate than the (S)-enantiomer Five rounds of focused di-rected evolution using saturation mutagenesis with restricted codon setsprovided mutant DhaA r5-90R with 13 new amino acid substitutions andsubstantially improved (R)-selectivity Mutagenesis nevertheless affectedthe activity with TCP which dropped to wild-type DhaA levels themutant was later shown in in vitro and in vivo studies to be of no value forfurther improvement of TCP pathway efficiency (Dvorak et al 2014bKurumbang et al 2014) Additional engineering input is thus needed toobtain DhaA variants with improved activity and modified enantios-electivity that would promote smooth flux through the syntheticpathway (Fig 4) and allow growth of bacterial recombinants in minimalmedium with the toxic substrate (Kurumbang et al 2014)

It will be necessary to accelerate the processes of laboratory evo-lution and screening of new enzymes with enhanced properties inmutant and metagenomic libraries to make protein engineering ofgreater value in optimizing natural and synthetic catabolic pathways(Bouhajja et al 2016) Selection couples an improved enzyme property

with host survival which allows evengt 109 clonesenzyme variants tobe tested in a reasonable time New selection assays based on toxicsubstrate conversions into a harmless utilizable metabolite coupledwith fluorescence-activated sorting of surviving cells could for ex-ample be applied for the enrichment of new dehalogenase variantsfrom libraries prepared by directed evolution or a semi-rational ap-proach (Fernaacutendez-Aacutelvaro et al 2011 Fibinger et al 2015) Severalrecent studies presented workflows for high-throughput screening andcharacterization of improved enzyme variants or novel enzyme activ-ities These test schemes are based on (i) bioinformatic pre-screeningcombined with high-throughput experimental characterization of can-didate proteins (Bastard et al 2014) (ii) completely automated roboticplatforms manipulating clones growing in microtitre plates (Doumlrr et al2016) (iii) microcapillary arrays coupled with fluorescent assays andlaser extraction for recovery of live clones (Chen et al 2016) or (iv)single-cell sorting based on a fluorescent signal from clones with animplemented synthetic genetic circuit responding to a specific meta-bolite (Choi et al 2014) In silico screening of molecules that fit theactive site cavity of an available enzyme structure or reverse screeningof enzymes that can accommodate target substrate could supplementexperimental methods and reduce the time needed for discovery of newbiocatalysts for recalcitrant chemicals Indeed the potential of in silicoscreening methods was demonstrated when investigating cytochromeP450-mediated metabolism of xenobiotics (Raunio et al 2015) In arecent study by Aukema and colleagues docking and molecular dy-namics simulations allowed selection of biphenyl dioxygenase fromParaburkholderia xenovorans LB400 as the best candidate enzyme formetabolizing carbamazepine one of the most commonly identified re-calcitrant pharmaceuticals in rivers (Aukema et al 2016) The ex-perimentally verified rate of carbamazepine degradation by P xeno-vorans cells was 40-times greater than the best reported rates so far

As shown in the preceding sections the available toolbox of systemsbiology metabolic engineering and protein engineering applicable forre-factoring microbes and their catabolic pathways towards more effi-cient biodegradation of waste chemicals and recalcitrant pollutants isbecoming inordinately large Even so the defined workflows standardsand universally applicable principles for strain optimization were longmissing in the field of metabolic engineering despite which the aim toengineer living systems on a rational basis remained prevalent in thecommunity This goal led metabolic engineers to adopt standards andstrategies from another closely related field of synthetic biology thatwas established primarily to program living systems with a high pre-dictability

3 Synthetic biology approaches and tools for biodegradationpathway engineering

The principal underlying thought in synthetic biology is that anyliving system can be considered a set of separate usable componentsthat can be combined by the means of biological engineering in newarrangements to alter existing features or generate new ones (deLorenzo and Danchin 2008) Such biological engineering can be sim-plified by applying principles adopted from electronic engineering andcomputer science to produce predictable robust systems (genetic con-trol systems metabolic pathways chromosomes and whole cells) withnon-natural functions (Paddon and Keasling 2014) This would beachieved through the fabrication of thoroughly characterized stan-dardized recyclable parts From its very beginnings synthetic biologyhas been confronted with the need to define its practice precisely and todevelop clear generally applicable strategies as this was the only wayto guarantee and implement engineering principles in a field as sto-chastic as biology With its tools standards and the DBTA cyclestrategy synthetic biology has contributed as has no other scientificdiscipline to rationalize metabolic engineering Its bottom-up ap-proaches and synthetic devices are being implemented to make morerobust better controllable microbial cell factories Synthetic biology

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can and to some extent already contributes the same service with itsnew concepts to the fields of biodegradation and bioremediation In thethe Section 3 we will discuss examples of beneficial inclusion of syn-thetic biology into strategies for engineering pathways and whole cellsfor biodegradation of waste and polluting chemicals and perspectivesfor these initiatives

31 Development of robust microbial chassis for biodegradation of toxicchemicals

Genetic instability and negatively affected fitness are frequentlyencountered drawbacks of the native microbial hosts tailored by me-tabolic engineering for specific biodegradation purposes Syntheticbiology offers possible solutions for these problems by implementingDNA synthesis and genome editing strategies Both curiosity and pro-spective practical applications drive synthetic biologists to generatemicrobial cells with deleted parts of their genomes that encode re-dundant cryptic or even deleterious functions Such cells endowedwith a reduced genome as foundation to house and support hetero-logous genetic parts are collectively known as chassis (Adams 2016)An extreme case of a chassis is the so-called minimal cell (Glass et al2006) Chassis can be prepared by de novo synthesis of a reduced targetgenome and its implantation into a suitable cell envelope or throughsystematic deletions of non-essential genes in the genomes of an ex-isting natural host Microarray-based oligonucleotide synthesis is cur-rently used to provide a substrate (usually 5ndash50 oligos) for constructionof larger (usually 200ndash3000 bp) synthetic fragments (Kosuri andChurch 2014) Scarless methods including the popular Gibson as-sembly uracil assembly Golden Gate technology ligase cycling reac-tion or yeast recombination are used to combine sequence-verifiedgene-length fragments in even larger complexes (Casini et al 2015)DNA synthesis also allows preparation of standardized genetic parts(promoters ribosome binding sites genes terminators and so on) withverified codon-optimized sequences Despite breakthroughs in genesynthesis and DNA assembly methods this last approach for chassisconstruction seems far more feasible at the moment considering thelesser demand of chromosome editing experiments the constantly ex-panding portfolio of genetic tools and the growing list of micro-organisms with intentionally reduced genomes (Martiacutenez-Garciacutea and de

Lorenzo 2016 Si et al 2015)Discarding non-essential cell functions shows considerable potential

not only for biosynthetic purposes (Hutchison et al 2016) but also fordesigner biodegradation and bioremediation A recent report on thesystematic deletion of 11 non-adjacent genomic regions in P putidaKT2440 (Fig 5) is a unique example of genome streamlining in apopular bacterial host with well-defined biodegradation capabilities(Martiacutenez-Garciacutea et al 2014b) In all 300 genes were eliminated thatis 43 of the entire KT2440 strain genome using the scar-less deletionprocedure based on homologous recombination after in vivo DNAcleavage by the homing Saccharomyces cerevisiae nuclease I-SceI(Martiacutenez-Garciacutea and de Lorenzo 2012) A suite of functions was tar-geted including the complete flagellar machinery whose assembly andfunction drains ATP from the cells and consumes NAD(P)H Four pro-phages two transposons and three components of DNA restriction-modification systems were also eliminated to minimize genetic in-stability The resulting strains designated P putida EM42 and EM383(the latter lacks the recA gene that encodes recombinase A) showedclearly superior growth properties and improved overall physiologicalvigour compared to wild-type KT2440 Moreover due to the higherNADPHNADP+ ratio the reduced-genome strains also better toleratedendogenous oxidative stress a property that provides a crucial ad-vantage for catalysing harsh biodegradation reactions such as aerobicdehalogenation of chlorinated pollutants (Nikel et al 2013)

Despite their reliability and robustness the procedures based onthese genome editing tools are time- and labour-intensive and re-stricted to a limited number of model microorganisms This problem isnow being challenged by new protocols that profit from the type IIbacterial Clustered Regularly Interspaced Short Palindromic Repeats(CRISPR) and CRISPR-associated protein (Cas) Multiple AutomatedGenome Editing (MAGE) and combinations thereof (Barrangou andvan Pijkeren 2016 Wang et al 2009) Nonetheless these technologiesalso suffer from some weaknesses such as generation of numerous off-target mutations The off-target problem of the CRISPR-Cas system wasrecently mitigated by engineering high-fidelity Cas9 nucleases(Kleinstiver et al 2016) In a similar manner the number of off-targetmutations during MAGE was reduced substantially when temperature-sensitive control of the endogenous methyl-directed mismatch repairsystem was introduced into the E coli host together with a dominant

Fig 4 Hypersurface plot describing the effect of catalytic efficiency (kcatKm) and enantioselectivity (E-value) of haloalkane dehalogenase DhaA on the production of glycerol in the TCPpathway The hypersurface was calculated using the mathematical model of the TCP pathway (Dvorak et al 2014b) using the constraints of Kurumbang and co-workers (Kurumbanget al 2014) Positions of four DhaA variants DhaAwt (wild type kcatKm = 70 Mminus1 sminus1 E-value = 1) DhaA r5-90R (kcatKm = 20 Mminus1 sminus1 E-value = 10) DhaA31 (kcatKm = 600 Mminus1 sminus1 E-value = 1) and hypothetical DhaAXX (kcatKm = 700 Mminus1 sminus1 E-value = 10) are indicated by red dots Note that the majority of mutations (orange spheres)introduced into DhaA r5-90R and DhaA31 are adjacent to the active site (red spheres) and to the access tunnels (in green) Hypothetical enzyme DhaAXX with 10-fold improved catalyticefficiency and 10-fold improved enantioselectivity compared to DhaAwt would enable production of 1 mM glycerol (red line) from 2 mM TCP in the culture of recombinant E coliBL21(DE3) within 24 h time interval Such glycerol concentration will be sufficient to support the cell growth Figure was adopted and modified from (Kurumbang et al 2014) (Forinterpretation of the references to colour in this figure legend the reader is referred to the web version of this article)

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negative mutator allele of the E coli mismatch repair protein MutL(Nyerges et al 2016) By placing this highly conserved allele togetherwith λ Red recombinase genes and a temperature-sensitive λ repressoron a single broad-host range plasmid Nyerges and co-workers provideda simplified MAGE variant (pORTMAGE) that allowed genome editingand mutant library generation in several biotechnologically and clini-cally relevant bacterial species with no need for prior modifications ofparental strains The recent discovery of the Ssr protein from P putidaDOT-T1E a functional homologue of the β protein of the λ Red re-combination system paved the way for oligonucleotide-mediatedmultiplex genome engineering in pseudomonads including P putidaKT2440 and its derived platform strains EM42 and EM383 (Aparicioet al 2016) Continuing facilitated reduction of their genomes (dele-tions of multiple repetitive sequences or certain proteases) and genomesof other relevant bacterial hosts will provide more reliable robustchassis for biodegradation pathway engineering

32 Development of synthetic microbial consortia for enhancedbiodegradation and bioremediation of pollutants

An alternative strategy that allows for the emergence of more robustmicrobe-based bioprocesses is just the opposite of the systematic de-velopment of bacterial chassis based on individual wild-type strainsNatural microbial consortia perform complicated biocatalytic taskssuch as lignocellulose degradation wastewater purification or in-testinal food digestion By dividing the labour and metabolic burdenthe consortium members become more flexible when facing complexenvironmental conditions Distribution of catabolic capacity amongcells of a single organism among different bacterial strains or evenamong species from different kingdoms is pivotal this is especially truefor biodegradation of complex toxic chemicals which encompassesmany steps and harmful intermediates with diverse physicochemicalproperties The idea of exploiting consortia for directed biodegradationof polluting compounds and bioremediation of contaminated sites thuslies ready to hand

Application of natural microbial consortia has already shown pro-mise for bioremediation of sites polluted with anthropogenic pesticidessuch as diclofop methyl or atrazine (Baghapour et al 2013 Wolfaardtet al 1994) Together with the new field of synthetic biology attemptsare being made to modify the structure of original natural consortia ordevelop completely new artificial organizations of co-operating mi-croorganisms For example co-culture of engineered E coli SD2 and Pputida KT2440 was used successfully to mineralize the insecticideparathion in shaken flasks and in biofilm culture (Gilbert et al 2003)In another study complete mineralization of 246-tribromophenol aflame-retardant intermediate and pesticide was achieved using an

artificial anaerobe consortium of reductive debrominator Dehalobactersp FTH1 a hydrogen supplier Clostridium sp Ma13 and the 4-chor-ophenol-degrading strain Desulfatiglans parachlorophenolica DS (Li et al2015) Recently Martiacutenez and co-workers introduced an attractive al-ternative strategy for engineering the 4S pathway (Fig 6A) a para-digmatic bioprocess for removal of the recalcitrant sulphur from aro-matic heterocycles in fuels (Martiacutenez et al 2016) The pathwayencoded by dszABCD genes converts the model compound di-benzothiophene (DBT) into sulphur-free 2-hydroxybiphenyl (2HBP)The authors initially synthesized and re-arranged the original genes andoptimized transcriptional and translational signals for P putida KT2440By dividing the pathway into three separate modules expressed in-dividually they were able to define previously unreported bottlenecksin the pathway that is the inhibitory effect of intermediate 2HBP-sulfinate (HBPS) on DszA and DszC monooxygenases and HBPS leakageinto the culture medium from which it could not be transported backinto the cells for further processing To prevent HBPS accumulationtwo P putida strains bearing dszC1-D1 or dszB1A1-D1 modules weremixed as a suspension of resting cells When the strains were combinedat a 14 ratio and added with cell-free extract containing extra DszBalmost 100 of DBT was transformed into 2HBP in assay conditions

Considerable attention is currently being dedicated to developingstrategies for biodegradation of oil and oil-derived chemicals Patowaryand co-workers designed a potent microbial consortium for prospectivedecontamination of sites exposed to polycyclic aromatic hydrocarbonsfrom crude oil (Patowary et al 2016) The authors first inspected thebiodegradative capacity for total petroleum hydrocarbons of 23 bac-terial isolates from petroleum-contaminated soils and subsequentlydesigned 14 artificial consortia based on the five most efficient isolatesThe best designer consortium comprised of two biosurfactant-produ-cing hydrocarbon-degrading strains of Bacillus pumilus and B cereusshowed up to 84 degradation of total petroleum hydrocarbons afterfive weeks as verified by gravimetric FTIR and GCMS analyses Ap-plication of natural or re-designed bacteria and their consortia alsoholds considerable promise for decomposition of oil-derived plasticwaste (Skariyachan et al 2016 Yoshida et al 2016a 2016b)

New tricks for more efficient biodegradation strategies could beadopted from inspiring current research on synthetic consortia designedto decompose and valorize lignocellulosic biomass (Minty et al 2013)Tozakidis and co-workers reported application of an engineered con-sortium of three P putida strains displaying thermophilic en-doglucanase exoglucanase or β-glucosidase for concerted hydrolysis ofcellulose at elevated temperatures (Tozakidis et al 2016) Some studiesdescribe surface display of whole designer cellulosomes ndash syntheticenzymatic nanomachines whose natural counterparts are produced bycertain cellulolytic bacteria that exploit clustered surface-attached

Fig 5 Engineered Pseudomonas putida KT2440 as a newrobust chassis for biodegradation and bioremediationMartiacutenez-Garciacutea and colleagues used in-house genomeediting tools to streamline the chromosome of Pseudomonasputida KT2440 (Martiacutenez-Garciacutea et al 2014b) Deletion of43 of the original genome gave rise to the new platformstrains EM42 and EM383 whose advantageous propertiesmake them useful chassis for engineering biodegradationpathways and other applications

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cellulases for efficient depolymerization of cellulose and hemicellulose(S Kim et al 2013 Moraiumls et al 2014) The vast majority of the workthat exploits surface display systems for whole-cell removal of en-vironmental contaminants has been restricted to individual proteinssuch as laccases methyl parathion hydrolase or triphenylmethane re-ductase (Gao et al 2014 Liu et al 2016 Yang et al 2012) It istempting to expand available surface display technologies with cellu-losome parts for the design of synthetic consortia that would catalysemore complex biodegradation reactions including polymeric substratesor toxic metabolites outside the cells

Despite their true biotechnological potential microbial consortiaremain too complex for directed long-term application either for bio-synthesis or for biodegradation It is still difficult to engineer home-ostasis and evolutionary stability in an artificial multi-cellular systemwhose behaviour becomes unpredictable with time (Escalante et al2015) Attempts to adopt principles of intercellular communication forsynthetic consortia are just at their beginnings (Hennig et al 2015Scott and Hasty 2016) Intensive co-operation of genetic engineers andevolutionary biologists with microbial ecologists and chemists willobviously be needed to derive a deeper understanding of the processesthat rule the formation and survival of natural microbial consortiaLessons learnt from nature can be implemented and combined withcompletely anthropogenic orthogonal genetic devices for more reliabledesign of stable multicellular systems

33 Development of orthogonal systems in bacteria to enhance pollutantbiodegradation and bioremediation

Orthogonal or in other words parallel independent systems1 is a key

concept in synthetic biology as long as such quality makes live systemsmore amenable to bona fide engineering Orthogonalization involveseg use of unnatural genetic codes (for example quadruplet rather thantriplet) alternative transcription-translation machineries toggleswitches and genetic circuits for assembly of novel metabolic andsignalling pathways from proteins containing non-natural amino acids(An and Chin 2009 Wang et al 2012) Such metabolic pathways couldhave new functions and would synthesize or catabolize a fresh spectrumof compounds Ideally orthogonal pathwaysmodules interact mini-mally with their natural counterparts in the host cell This improvespredictability of the component behaviour and prevents inhibitorycross-talk following introduction of the pathway or circuit into an ex-isting metabolic network (Kim and Copley 2012 Kurumbang et al2014) In an orthogonal module the input and output molecules ofgenetic circuitsmdashor enzymes and metabolites of synthetic biochemicalroutesmdashare not degraded or inactivated by side-reactions or physico-chemical conditions of the host cell While complete orthogonality isvirtually impossible in biological systems a practicable level of context-independence is indeed feasible Some examples of claimed orthogonalsystems include simple synthetic genetic circuits switches or designedmetabolic pathways These have the potential to improve function ofindividual engineered bacteria or synthetic consortia as whole-cellbiosensors and degraders of recalcitrant chemicals

Sensitivity robustness and applicability of microbial biosensors fordetecting heavy metals or halogenated hydrocarbons can be greatlyimproved by implementing orthogonal genetic devices (Bereza-Malcolm et al 2015) Thus far simple microbial biosensor designsbased on one input and two-part regulatory systems with promoter andreporter providing a coloured fluorescent bioluminescent or electricsignal prevail in the literature (Ravikumar et al 2017) Reports onmore complex multi-input systems based on Boolean logic gates are stillrare but give us a clue to future developments in the field As firstoutlined by the work of Wang et al (2016) orthogonally acting multi-

Fig 6 Examples of synthetic biology approaches applied toengineering biodegradation pathways and whole-cell de-graders (a) Martiacutenez and co-workers divided the 4Spathway for sulphur removal from aromatic heterocyclesinto two modules (dszC1-D1 and dszB1A1-D1) that wereexpressed individually in two P putida KT2440 strains toform a synthetic consortium (Martiacutenez et al 2016) Com-bining the strains at a 14 ratio and mixing them with cell-free extract from the third strain producing DszB resulted inalmost complete conversion of dibenzothiophene into sul-phur-free 2-hydroxybiphenyl in assay conditions (b) Wanget al constructed a synthetic bacterial consortium in whicheach of the two E coli strains functioned as a double inputsensor with synthetic AND gates for detecting arsenicmercury and copper ions and quorum sensing molecules(3OC6HSL Wang et al 2013) Strain 2 generated redfluorescence only in the presence of all three metal ions inculture (c) Benedetti and colleagues achieved directedtransition between planktonic and biofilm lifestyles of Pputida KT2440 by controlling cyclic di-GMP levels with anorthogonal genetic device composed of the yedQ diguany-late cyclase gene from E coli under the control of the cy-clohexanone-responsive ChnRPchnB regulatory node fromAcinetobacter johnsonii (Benedetti et al 2016) Designedcells with a synthetic operon for 1-chlorobutane biode-gradation formed inducible biofilms with higher dehalo-genase activity than free planktonic bacteria (d) Dvorakand co-workers assembled the first in vitro synthetic biode-gradation pathway for 123-trichloropropane (TCP) bycombining engineered haloalkane dehalogenase DhaA31halohydrin dehalogenase HheC and epoxide hydrolaseEchA immobilized in cross-linked enzyme aggregates(CLEAS) and polyvinyl alcohol particles (LentiKats) (Dvoraket al 2014a) The immobilized pathway converted highconcentrations of toxic TCP into glycerol in contaminatedwater for more than two months of continuous operation in

a bench-top packed bed reactor (For interpretation of the references to colour in this figure legend the reader is referred to the web version of this article)

1 The mathematical and geometrical concept of orthogonality has been adopted first bycomputing science and then by synthetic biology to signify operative independenceSystem A is orthogonal to system B if A does not influence Bmdashand vice versa

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inputmulti-output logic gates will be especially valuable for detectingmixtures of polluting chemicals (organic inorganic or both) by pro-viding a specific signal for each of the constituents (He et al 2016Wang et al 2011) Developing such biosensors is of practical im-portance as polluted environments are usually burdened with nu-merous contaminants that have diverse physicochemical propertiesThe authors engineered a set of two-input E coli-based biosensors withsynthetic AND gates using signalling sensory modules from native two-component signal transduction pathways as well as hrpR and hrpSgenes along with their HrpL promoter element from P syringae Usingthese sensors they detected arsenic mercury copper and zinc ions aswell as quorum sensing molecules in aqueous environment (Wang et al2011) The most advanced design resulted in a triple-input AND logic-gated biosensor that formed a synthetic bacterial consortium in whicheach of the two members acted as a double input sensor (Fig 6B) In thepresence of arsenic and mercury the first strain formed a quorumsensing molecule (3OC6HSL) that diffused freely into the medium andwas sensed together with Cu2+ by the second strain which provided ared fluorescent signal (Wang et al 2013) The fluorescent response wasseen only when all three metal ions were present in the culture

Reliable orthogonal devices will be crucial for engineering artificialcell-cell communication for instance taking advantage of bacterialquorum sensing systems (Hennig et al 2015 Scott and Hasty 2016)Programming the dynamics of subpopulations of synthetic consortiathat perform complex tasks will be only possible with parallel geneticcircuits and signalling molecules unknown to the host cells (Chen et al2015) As stressed by Silva-Rocha and de Lorenzo (2014) catabolicpathways for recalcitrant and xenobiotic compounds could be a reliablesource of wiring devices and molecules These pathways are frequentlyfound in specific types of organisms and metabolic crosstalk can thusbe avoided by implementing components of such networks in suitablehosts For instance aromatic molecules such as benzoate or phenol canbe used as signal inducers that are recognized by regulatory proteinsthat trigeger expression of target genes The recent determination of thecrystal structure of the sensory domain in the phenol-responsive tran-scription activator PoxR ilustrates how aromatics are sensed in bacteria(Patil et al 2016) This study paves the way for wider application ofrationally engineered transcription regulators responsive to aromaticsin the design of synthetic genetic circuits

The dynamic behaviour of the whole biodegradation pathway canalso be better studied when the route is transferred into a distant hostchassis where it acts orthogonally The orthogonal nature of the syn-thetic pathway for TCP biodegradation in the surrogate host E coliBL21 (DE3) described in Section 231 allowed a very good matchbetween in silico predicted and in vivo metabolite concentrations andprecise description of the bottlenecks (Kurumbang et al 2014) as wellas deciphering the contribution of metabolic burden and substratemetabolite toxicity to the fitness cost of TCP biotransformation bywhole-cell catalysts (Dvorak et al 2015) Despite their benefits for suchmechanistic and proof-of-concept studies laboratory E coli strainsmight not be optimally suited for the harsh conditions that accompanybiodegradation and bioremediation processes (Adams 2016 Nicolaouet al 2010) Development of reliable chassis amenable to implantationof orthogonal genetic devices is therefore desirable These new cellplatforms should be based on robust environmental strains of Pseudo-monas Rhodococcus Deinococcus and other microorganisms with broadmetabolic versatility and natural resistance to organic solvents or heavymetals (Adams 2016)

One can also take advantage of other specific properties of en-vironmental bacteria including formation of a robust biofilm As shownrecently by Benedetti and colleagues the actual physical forms ofwhole-cell biocatalysts can be mastered using orthogonal genetic parts(Fig 6C) through the so-called synthetic morphology approach (Benedettiet al 2016) Pseudomonads generate biofilms with biophysical prop-erties that depend on the species Cyclic di-GMP (c-di-GMP) is the keysignal molecule that rules the complex regulatory network mediating

the transition between planktonic cells and biofilm formation Thisfeature was exploited to design an orthogonal genetic device for ma-nipulating the native c-di-GMP biochemistry in P putida thereby con-trolling biofilm formation (Benedetti et al 2016) The E coli yedQ gene(encoding diguanylate cyclase the enzyme that synthesizes c-di-GMPfrom GTP) was placed under control of a tightly regulated cyclohex-anone-responsive expression system A synthetic operon encoding theenzymes needed for 1-chlorobutane biodegradation was also in-troduced in the engineered biofilm-forming P putida strain Upon ac-tivation of the corresponding genetic modules with appropriate in-ducers the resulting P putida biocatalyst displayed high dehalogenaseactivity in robust biofilms

The modern approaches of biological engineering accelerate thedevelopment of whole-cell biocatalysts for in situ bioremediation orbiosensing of emerging environmental pollutants Field applications ofgenetically modified microorganisms are nonetheless restricted bycurrent legislation and hindered by the unreliable behaviour of re-combinant microbes in complex fluctuating environments Syntheticbiology can help to tackle the major problems through the means de-scribed at the beginning of this chapter ie non-canonical geneticcodes and xenobiochemistry which can prevent diffusion of undesiredsequences into the environmental gene pool differentiate recombinantsfrom their natural counterparts and improve robustness and reliabilityof prepared genetic devices whole-cell degraders and biosensors Theexamples of such endeavours were recently reviewed extensively(Schmidt 2010 Schmidt and de Lorenzo 2016) These systems couldbe combined with bioluminiscence fluorescence or DNA watermarkingtechnologies to track the environmental fate of designer degraders orwith inducible suicide systems for discarding degraders once theirmission is completed (Liss et al 2012 Liu et al 2010 Paul et al2005) Yet the path to applied xenobiology is still crooked and manyethical questions remain Another concept from the portfolio of syn-thetic biology that will be discussed in the following section has thepotential to fill the time gap until we obtain reliable whole-cell catalystsand alternative solutions also acceptable for GMO critics will be pro-vided

34 Engineering microbial biodegradation pathways in vitro

The major principle of cell-free synthetic biology is that purifiedbiomolecules or components in crude cell extracts replace intact cellsfor constructing complex biomolecular systems (Hodgman and Jewett2012) To date metabolic networks that encompassgt 10 enzymeshave been reconstructed in vitro (Rollin et al 2015 Schwander et al2016) Cell-free metabolic pathways allow easy verification of bioca-talyst function determination of kinetic parameters as well as eva-luation of the network by kinetic modelling (Santacoloma et al 2011)Note however that assemby of degradative pathways in cell-free sys-tems (whether with purified enzymes or cell extracts) is not only toprototype and parametrize new routes but also for direct use in thefield (Karig 2017) Despite the drawbacks that cell-free systems cannotself-propagate that certain biomolecules can be sensitive to oxidizingenvironments and that their encapsulation and large-scale productionmight be costly these systems offer an appealing means to circumventproblems associated to GMO release to the environment Apart fromincreasing safety they offer other clear benefits For instance in vitrosystems can operate in the presence of toxins that would inhibit or killlive cells and metabolites regulators and enzymes can be produced inoptimized concentrations without interfering with cell componentsMost important for release and predictability the evolutionary oppor-tunities of such non-live agents are zero making the emergence ofunexpected properties virtually impossible

In vitro metabolic networks can suffer from suboptimal efficiencydue to the lower enzyme concentration compared to the extremelydense cell cytoplasm (Hodgman and Jewett 2012) This issue can bemitigated by enzyme immobilization and improved spatial organization

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858

via synthetic protein or DNA scaffolds that reduce diffusion of pathwayintermediates and promote substrate channeling (Siu et al 2015) Al-ternatively biocatalysts can be precipitated and covalently inter-connected in cross-linked enzyme aggregate particles (Sheldon 2011)this method was applied successfully to synthesize toxic nucleotideanalogues by an immobilized five-enzyme synthetic pathway (Scismand Bachmann 2010) The biochemical route described was completedwith functional ATP regeneration which demonstrates that in vitrotechnologies can cope with another possible drawback ndash limited co-factor recycling

Thus far mainly single immobilized enzymes or whole-cell bioca-talysts have been exploited in biotechnological processes intended toremove polluting chemicals such as polyethylene terephthalate 24-dinitrophenol atrazine or inorganic nitrates (Barth et al 2016Dehghanifard et al 2013 Mutlu et al 2015 Troumlgl et al 2012) In vitroassays with cell-free extracts or purified enzymes respectively helpedto identify an unknown anaerobic pathway for complete phthalatedegradation to CO2 in Thauera chlorobenzoica 3CB-1 or to decipher se-questration of the highly toxic intermediate tetrachlorobenzoquinone inpentachlorophenol degradation pathway in Sphingobium chlor-ophenolicum (Ebenau-Jehle et al 2017 Yadid et al 2013) Geuekeet al showed the benefits of an in vitro engineering approach in themodel of γ-HCH biodegradation pathway (Geueke et al 2013) Theyused a system of two purified enzymes the dehydrochlorinase LinA andthe haloalkane dehalogenase LinB which initiate biotransformation ofγ-HCH a prohibited insecticide They separately incubated five isomersthat form technical HCH (which used to be applied frequently instead ofpure γ-HCH) with various LinALinB ratios and determined metabolicprofiles of sequential biotransformations Analyses of these profileshelped determine the environmental fate of HCH isomers and showedthat the original HCH degradation pathway is optimized by evolutionfor γ-HCH but not for other isomers that co-pollute contaminated sites

The first report of in vitro assembly of a fully functional syntheticbiodegradation pathway was published by Dvorak and co-workers(Dvorak et al 2014a) The authors adopted the cell-free strategy usingimmobilized engineered haloalkane dehalogenase DhaA31 halohydrindehalogenase HheC and epoxide hydrolase EchA for TCP bio-transformation to harmless valuable glycerol in contaminated water(Fig 6D) The practical utility of bacterial recombinants that mineralizeTCP (desccribed in Sections 231 and 232) is limited by substratetoxicity and by legislative barriers on the application of GMO(Kurumbang et al 2014 Samin et al 2014) Probing the function ofthe pathway in in vitro conditions therefore lied ready to hand Theauthors successfully immobilized the pathway in the form of purifiedenzymes or cell-free extracts in cross-linked enzyme aggregates andlens-shaped polyvinyl alcohol particles The immobilized pathwayshowed almost the same efficiency of TCP-to-glycerol conversion asmixture of free enzymes Physicochemical properties of polyvinyl al-cohol lentils allowed recovery from the reaction mixture and recyclingof the pathway In addition the immobilized enzymes retainedgt 50of their initial activities for over 2 months of continuous operation in abench-top packed bed reactor The study indicated that the im-mobilized route removes TCP from heavily contaminated water with apollutant concentration (~1 gL) that would be detrimental to theliving degraders One can anticipate that such conversions of toxic TCPto useful glycerol could even pave the way for prospective valorizationof this waste chemical

Although this biotechnology requires further validation and tuningthe work showed that in vitro assembly of natural or synthetic enzy-matic pathways with engineered enzymes is a promising concept for thebiodegradation of polluting compounds and toxic industrial wasteproducts Transport of such pathways via non-live carriers is relatedconceptually to efforts to produce and release complex therapeuticagents for human use In both cases their application demands thedevelopment of a sort of environmental Galenic science that enablessupply of the engineered biological remedy when and where needed

4 Towards planet-wide bioremediation interventions CO2

capture as a large-scale challenge

Environmental deterioration due to emissions of recalcitrant che-micals seems to pale when compared to the problem of global warmingcaused by the release of greenhouse gases that originate in human ac-tivities The bulk of these gases comprise four natural molecules carbondioxide (CO2) methane (CH4) nitrous oxide (N2O) and ozone (O3) aswell as one class of xenobiotics the chlorofluorocarbons or CFC Giventhe diluted aereal and global nature of this problem the strategiescontemplated for tackling these chemical species differ considerablyfrom those that centre on site-specific pollution issues Most proposalsthus far focus much more on reducing emissions than on capture andreturning to innocuous chemical or mineral forms All these compoundshave their own natural biogeochemical cycle and in theory simplyreducing their input into the biosphere should restore the originalequilibrium (Rockstroumlm et al 2017) Recent ecological thought none-theless postulates that the impact of climate change in many ecosystemsis already irreversible by natural means and call for large-scale inter-ventions that could help to resolve this impasse (de Lorenzo et al2016) In this case what types of options could be considered from asystemic biology perspective

Some incipient attempts have appeared recently mostly in the fieldof engineering bacteria with a greater capacity for non-photosyntheticfixing of CO2 (Erb and Zarzycki 2016) One option is to use the sixalternative pathways of autotrophic carbon fixation known in nature(Fuchs 2011 Hicks et al 2017) as a starting point to optimize suchnatural processes Another possibilty is the invention of new routes byrewiring or modifying existing enzymes in a new configuration A re-markable example of this solution is the work of Antonovsky et al(2016) who showed that combining metabolic rewiring recombinantprotein expression and laboratory evolution enables the production ofsugars and other biomass constituents by a fully functional Calvin-Benson-Bassham (CBB) cycle in E coli In the bacteria designed in thisway carbon is fixed via a refactored CBB cycle whereas reducingpower and energy are derived from pyruvate oxidation (Fig 7) It isinteresting to note how evolutionary approaches adjust fluxes andgenerate connections between the designed CBB cycle and the hostbiochemical network that cannot be predicted or designed

A separate approach was recently developed by Schwander et al(2016) who developed a synthetic route for continuous CO2 fixation invitro by composing a cycle formed of 17 enzymes that convert CO2 intoorganic molecules The cycle was draughted by metabolic retro-synthesis with enzymes from nine organisms from three domains of lifefurther optimized through rounds of protein engineering and metabolicproofreading Although this completely designed pathway has not yetbeen implemented in vivo (eg in a bacterial carrier) it is a question oftime until it is done and propagated throughout an entire microbialcommunity (de Lorenzo et al 2016)

Finally todays systemic approaches enable the invention of en-zymes from scratch through de novo protein design followed by directedevolution which opens perspectives for improving the natural state ofaffairs regarding fixation of CO2 (and other greenhouse gases) as well asvalorization of this waste as biotechnological feedstocks (Huang et al2016 Renata et al 2015) A separate matter is the large-scale de-ployment of the microbial agents for CO2 retrieval Existing technologyallows their implementation in biofilters and bioreactors that captureemissions at source But how can we spread such desirable catalyticproperties at a very large even at planetary level to make a differenceSuch technologies are not yet availablemdashlet alone that they raise a largenumber of safety questions But they must necessarily be developed ifwe are not just to control greenhouse gas discharges but also aim attheir eventual reduction to pre-industrial levels (de Lorenzo et al2016)

Unfortunately greenhouse gases are not the only globally wide-spread molecules to be concerned about Much before global warming

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associated to CO2 emissions became so conspicuous widespread pol-lution by endocrine disruptors (eg alkylphenols bisphenols DDTPCBs polybrominated diphenyl ethers phthalates and per-fluorooctanoic acid) was well documented Moreover other silent pol-lutants originate in the pharmaceutical industry eg antibiotics(Marathe et al 2017) and hormones They end up in a large variety ofecosystems in a diluted but still active form Finally plastics (egpolycarbonate polystyrene polyethylene terephthalate lowhigh-density polyethylene polypropylene and polyvinyl chloride) are cur-rently receiving a considerable focus as a major environmental pro-blem A number of microbial strains able to totally or partially act uponthese compounds have been isolated (see above) but in general thebiodegradation process is very slow The global nature of these types ofpollution thus requires the development of new efficient microbialpathways for their elimination quite a challenge for contemporarysynthetic biologists and metabolic engineers (de Lorenzo 2017)Butmdashas is the case for CO2 capture mentioned abovemdashpathways andhosts able to deploy them are not enough Effective strategies for globaldispersion of biodegradative activities of interest are badly nee-dedmdashperhaps inspired in gene drives or some type of self-propagatingmassive horizontal gene transfer (de Lorenzo et al 2016)

5 Conclusions and perspectives

The practical examples described in the preceding sections showthat technologies of systemic biology offer promise not only for therenaissance of bioremediation using anthropogenically enhanced mi-crobial degraders but also for entry to the new era of Bioremediation30 The bottlenecks described at the beginning of this text are one byone being released or removed with the help of new computational andexperimental tools Databases and pathway prediction systems help the

user to select suitable chemically and energetically feasible traits fordesired tasks Multi-omic analyses provide valuable information thatfacilitates choice of a suitable host Genome-scale and kinetic modelsapplied hand-in-hand with genetic engineering techniques enable tai-loring of gene expression reduction of metabolic burden and pathwayoptimization in the context of host metabolism The visionary conceptsof synthetic biology and global scale CO2 bioremediation open up newdimensions for engineering microbial degraders General work schemesand standards for design building and fine-tuning of selected bio-chemical routes networks and whole-cell biocatalysts are simulta-neously becoming better defined and accepted by the community

Despite the clear progress over the last decade of biochemical andbiological engineering the vast complexity of the living cell remainsthe major hurdle for any attempt for fully rational pathway design Inthe case of biosensing and biodegradation pathway design and pro-spective applications of the genetically-modified microbes this problemis exacerbated by the complexity of intercellular and interspecific in-teractions and by the still poorly understood interplay between thebiotic and abiotic factors that govern contaminant biodegradation inpolluted ecosystems (de Lorenzo 2008 Meckenstock et al 2015) Weassume that in principle there are two ways to address this challengenow and in future

The first admits that complexity of biological systems will not beresolved anytime soon and thus bets on combining rational designs withnatural evolution at the end of the DBTA cycle thus expanding it toDBTAE (Design-Build-Test-Analyze-Evolve) Adaptive laboratory evo-lution (ALE) is a high calibre tool of this approach ALE is now frequentlyused by academic and industrial laboratories to evolve desired prop-erties in environmental bacteria and for fine-tuning recombinant mi-croorganisms but its principles have been well known since the time ofthe very first attempts to modify microbial phenotypes (Kellogg et al

Fig 7 Hemiautotrophic growth of engineered E coli al-lowed by decoupling energy production and carbon fixa-tion The hemiautotrophic growth was observed after per-forming three distinct steps (i) Calvin-Benson-Bassham(CBB) cycle for the biosynthesis of sugars from CO2 wascompleted by introducing only two exogenous enzymaticactivities phosphoribulokinase (prkA) and RuBisCO (ii)phosphoglycerate mutase genes gpmA and gpmM were de-leted to separate central metabolism into two sub-systemsie a CO2-fixing part that included PrkA RuBisCO upperglycolysis and the pentose phosphate pathway and an en-ergy-supplying module that employed lower glycolysis andthe TCA cycle (iii) the engineered strain bearing furthermutations (ΔpfkA ΔpfkB Δzwf) was exposed to the strongselective pressure towards greater carbon fixation in xylose-limited chemostat with a surplus pyruvate and CO2Emerged mutations made designed CBB cycle functionaland the hemiautotrophic strain that replaced utilisation ofxylose with CO2 fixation dominated the populationFigure adapted from Antonovsky et al (2016)

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860

1981) In biodegradation research exposing microorganisms with de-sirable catabolic traits to the target chemical(s) for prolonged intervalsin chemostat or shaken-flask cultures enabled isolation of bacteria ableto use persistent compounds such as 245-trichlorophenoxyacetic acid(the defoliating Agent Orange) or helped improve atrazine degradationrates by Pseudomonas sp ADP or 24-dichlorophenoxyacetic by Ral-stonia sp TFD41 (Devers et al 2008 Kellogg et al 1981 Nakatsuet al 1998) Nonetheless the potential of ALE in engineering microbialdegraders has yet not been fully exploited ALE will be an ideal tool forempowering rationally pre-designed recombinants with resistance todiverse environmental stresses encountered in directed biodegradationprocesses or in polluted ecosystems (Nicolaou et al 2010 Oide et al2015 Wang et al 2016) When combined with whole-genome se-quencing and reverse engineering ALE as an evolutionary ldquoblindrdquo ap-proach can paradoxically contribute to further rationalizing the field byexposing otherwise unpredictable complex changes in multitrait phe-notypes

The second approach bets on technology without compromise andwill take advantage of continuing technological revolution in biologyand related sciences We recently witnessed the attempt of syntheticbiologists to implement automation as we know it from electronic en-gineering in the design of orthogonal genetic circuits that would co-ordinate the actions of selected microbial chassis (Nielsen et al 2016)The genetic ldquogutsrdquo and pathway enzymes of the chassis can be designedand synthesized de novo or be tailored rapidly with surgical precisionusing new genome editing and protein engineering tools (Huang et al2016 Hutchison et al 2016 Nyerges et al 2016 Ran et al 2013Renata et al 2015) Although the circuit design tools still work pre-dominantly with simple logic gates the robustness and utility of theavailable minimal cells is limited and de novo-designed enzymes havelow activity we can assume that the efficiency reliability and timedemand of such exercises will be further improved by progress incomputer science and artificial intelligence development that couldcrack the complexity of life A purely technological approach wouldomit any unknowns from the DBTA cycle with help of reliable com-putational simulations thus expanding it to DSBTA (Design-Simulate-Build-Test-Analyze) and providing space for construction of whole-cellcatalysts perfectly tailored for specific biodegradation tasks

The challenges of both approaches applied to directed in situ bior-emediation encompass the development of test schemes that will ex-pose engineered organisms to mimicked environmental conditions in-cluding limiting carbon sources lack of oxygen or redox recycling masstransfer perturbations or interspecific predation (Meckenstock et al2015) A critical issue will be the choice and establishment of newchassis organisms better suited to field biotransformations than thecurrently available laboratory strains in terms of resistance to harshconditions including extreme pH temperature osmotic pressure orfluctuating concentrations of toxic chemicals (Adams 2016) Thesenew strains must simultaneously be reliable amenable to genetic ma-nipulation have mapped genomes and ideally metabolic models athand The in situ bioremediation quests will be complicated by thevarying nature of polluting compounds their mixtures and transfor-mation products all of which can be present at a single site (Sarigiannisand Hansen 2012) Future microbial degraders must therefore be de-signed to cope with several problem compounds in parallel and notonly in terms of degradation or mineralization The succesful conver-sion of dangerous contaminants into usable molecules that can be fur-ther valorized by whole-cell or cell-free biocatalysts is a desirablestarting point for the development of new technologies that extendstandard concepts of biodegradation and bioremediation (Dvorak et al2014a Wigginton et al 2012) Microbe-driven trash-to-treasure con-versions are known from established biomass valorization processesbut this concept can also be implemented in wastewater treatmentmetal and plastic recycling or in direct valorization of industrial by-product streams or captured greenhouse gases (Bornscheuer 2016Koutinas et al 2014 Nancharaiah et al 2016 Wierckx et al 2015)

Even so the major challenge to the entire field of engineered de-graders is not related to continued progress in the development of im-proved technologies which is inevitable but rather to the dissemina-tion and popularization of achievements already attained Publicenvironmental concerns and regulatory constraints have not just re-stricted field tests of genetically modified microbes but also affect thequality of fundamental research and by the same token overall pro-gress in the field The exercises described in this review will only have achance to become real enterprises if the general population is inspiredby biotechnology and accepts it as an inseparable part of our dailyroutine as it did for information technology The new systemic dis-ciplines that make life less puzzling as well as emerging do-it-yourselfmovement in biotechnology can undoubtedly contribute to a generalchange of attitude (de Lorenzo and Schmidt 2017) Such change isvital because our ability to minimize production of waste and pollutingchemicals remove existing waste or use it in bioprocesses to formvalue-added compounds will shape the fate of our society on a globalscale

Acknowledgements

PD is the holder of the Marie Sklodowska-Curie grant No 704410(FUTURE) The work in Authors Laboratory was funded by theCAMBIOS Project of the Spanish Ministry of Economy andCompetitiveness RTC-2014-1777-3 (MINECO) HELIOS Project of theSpanish Ministry of Economy and Competitiveness BIO 2015-66960-C3-2-R (MINECOFEDER) and the ARISYS (ERC-2012-ADG-322797)EmPowerPutida (EU-H2020-BIOTEC-2014-2015-6335536) andRaft4Biotech (720776) contracts of the European Union JD is sup-ported also by the Czech Ministry of Education (LQ1605 LO1214LM2015055) and Czech Grant Agency (GA16-06096S) The financialsupport of The Novo Nordisk Foundation to PIN is also gratefully ac-knowledged

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Cases I de Lorenzo V 2005 Genetically modified organisms for the environmentstories of success and failure and what we have learned from them Int Microbiol 8213ndash222

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Caspi R Billington R Ferrer L Foerster H Fulcher CA Keseler IM Kothari AKrummenacker M Latendresse M Mueller LA Ong Q Paley S Subhraveti PWeaver DS Karp PD 2016 The MetaCyc database of metabolic pathways andenzymes and the BioCyc collection of pathwaygenome databases Nucleic Acids Res44 D471ndash480 httpdxdoiorg101093nargkv1164

Chakraborty R Wu CH Hazen TC 2012 Systems biology approach to bior-emediation Curr Opin Biotechnol 23 483ndash490 httpdxdoiorg101016jcopbio201201015

Chang A Schomburg I Placzek S Jeske L Ulbrich M Xiao M Sensen CWSchomburg D 2015 BRENDA in 2015 exciting developments in its 25th year ofexistence Nucleic Acids Res 43 D439ndash446 httpdxdoiorg101093nargku1068

Chavarriacutea M Nikel PI Peacuterez-Pantoja D de Lorenzo V 2013 The Entner-Doudoroffpathway empowers Pseudomonas putida KT2440 with a high tolerance to oxidative

stress Environ Microbiol 15 1772ndash1785 httpdxdoiorg1011111462-292012069

Chen L Lu J Zhang J Feng K-R Zheng M-Y Cai Y-D 2013 Predicting chemicaltoxicity effects based on chemical-chemical interactions PLoS One 8 e56517 httpdxdoiorg101371journalpone0056517

Chen Y Kim JK Hirning AJ Josić K Bennett MR 2015 Synthetic biologyEmergent genetic oscillations in a synthetic microbial consortium Science 349986ndash989 httpdxdoiorg101126scienceaaa3794

Chen B Lim S Kannan A Alford SC Sunden F Herschlag D Dimov IK BaerTM Cochran JR 2016 High-throughput analysis and protein engineering usingmicrocapillary arrays Nat Chem Biol 12 76ndash81 httpdxdoiorg101038nchembio1978

Choi S-L Rha E Lee SJ Kim H Kwon K Jeong Y-S Rhee YH Song JJ KimH-S Lee S-G 2014 Toward a generalized and high-throughput enzyme screeningsystem based on artificial genetic circuits ACS Synth Biol 3 163ndash171 httpdxdoiorg101021sb400112u

Chowdhury A Zomorrodi AR Maranas CD 2014 k-OptForce integrating kineticswith flux balance analysis for strain design PLoS Comput Biol 10 e1003487 httpdxdoiorg101371journalpcbi1003487

Chowdhury A Khodayari A Maranas CD 2015 Improving prediction fidelity ofcellular metabolism with kinetic descriptions Curr Opin Biotechnol 36 57ndash64httpdxdoiorg101016jcopbio201508011

Costa RS Machado D Rocha I Ferreira EC 2011 Critical perspective on theconsequences of the limited availability of kinetic data in metabolic dynamic mod-elling IET Syst Biol 5 157ndash163 httpdxdoiorg101049iet-syb20090058

Dai Z Nielsen J 2015 Advancing metabolic engineering through systems biology ofindustrial microorganisms Curr Opin Biotechnol 36 8ndash15 httpdxdoiorg101016jcopbio201508006

Damborsky J Brezovsky J 2014 Computational tools for designing and engineeringenzymes Curr Opin Chem Biol 19 8ndash16 httpdxdoiorg101016jcbpa201312003

de la Pentildea Mattozzi M Tehara SK Hong T Keasling JD 2006 Mineralization ofparaoxon and its use as a sole C and P source by a rationally designed catabolicpathway in Pseudomonas putida Appl Environ Microbiol 72 6699ndash6706 httpdxdoiorg101128AEM00907-06

de Lorenzo V 2008 Systems biology approaches to bioremediation Curr OpinBiotechnol 19 579ndash589 httpdxdoiorg101016jcopbio200810004

de Lorenzo V 2009 Recombinant bacteria for environmental release what went wrongand what we have learnt from it Clin Microbiol Infect 15 (Suppl 1) 63ndash65 httpdxdoiorg101111j1469-0691200802683x

de Lorenzo V 2017 Seven microbial bio-processes to help the planet EnvironMicrobiol httponlinelibrarywileycomdoi1011111751-791512816full

de Lorenzo V Danchin A 2008 Synthetic biology discovering new worlds and newwords EMBO Rep 9 822ndash827 httpdxdoiorg101038embor2008159

de Lorenzo V Schmidt M 2017 The do-it-yourself movement as a source of innovationin biotechnology - and much more Microb Biotechnol 10 517ndash519 httpdxdoiorg1011111751-791512715

de Lorenzo V Marliegravere P Soleacute R 2016 Bioremediation at a global scale from the testtube to planet Earth Microb Biotechnol 9 618ndash625 httpdxdoiorg1011111751-791512399

Dehghanifard E Jonidi Jafari A Rezaei Kalantary R Mahvi AH Faramarzi MAEsrafili A 2013 Biodegradation of 24-dinitrophenol with laccase immobilized onnano-porous silica beads Iranian J Environ Health Sci Eng 10 httpdxdoiorg1011861735-2746-10-25

Deleacutepine B Libis V Carbonell P Faulon J-L 2016 SensiPath computer-aided de-sign of sensing-enabling metabolic pathways Nucleic Acids Res 44 W226ndash231httpdxdoiorg101093nargkw305

Devers M Rouard N Martin-Laurent F 2008 Fitness drift of an atrazine-degradingpopulation under atrazine selection pressure Environ Microbiol 10 676ndash684httpdxdoiorg101111j1462-2920200701490x

Dombrowski N Donaho JA Gutierrez T Seitz KW Teske AP Baker BJ 2016Reconstructing metabolic pathways of hydrocarbon-degrading bacteria from theDeepwater Horizon oil spill Nat Microbiol 1 16057 httpdxdoiorg101038nmicrobiol201657

Doumlrr M Fibinger MPC Last D Schmidt S Santos-Aberturas J Boumlttcher DHummel A Vickers C Voss M Bornscheuer UT 2016 Fully automatized high-throughput enzyme library screening using a robotic platform Biotechnol Bioeng113 1421ndash1432 httpdxdoiorg101002bit25925

Dvorak P Bidmanova S Damborsky J Prokop Z 2014a Immobilized syntheticpathway for biodegradation of toxic recalcitrant pollutant 123-trichloropropaneEnviron Sci Technol 48 6859ndash6866 httpdxdoiorg101021es500396r

Dvorak P Kurumbang NP Bendl J Brezovsky J Prokop Z Damborsky J 2014bMaximizing the efficiency of multienzyme process by stoichiometry optimizationChembiochem Eur J Chem Biol 15 1891ndash1895 httpdxdoiorg101002cbic201402265

Dvorak P Chrast L Nikel PI Fedr R Soucek K Sedlackova M Chaloupkova Rde Lorenzo V Prokop Z Damborsky J 2015 Exacerbation of substrate toxicity byIPTG in Escherichia coli BL21(DE3) carrying a synthetic metabolic pathway MicrobCell Factories 14 201 httpdxdoiorg101186s12934-015-0393-3

Ebenau-Jehle C Mergelsberg M Fischer S Bruumlls T Jehmlich N von Bergen MBoll M 2017 An unusual strategy for the anoxic biodegradation of phthalate ISMEJ 11 224ndash236 httpdxdoiorg101038ismej201691

Erb TJ Zarzycki J 2016 Biochemical and synthetic biology approaches to improvephotosynthetic CO2-fixation Curr Opin Chem Biol 34 72ndash79 httpdxdoiorg101016jcbpa201606026

Eriksson L Jaworska J Worth AP Cronin MTD McDowell RM Gramatica P

P Dvořaacutek et al Biotechnology Advances 35 (2017) 845ndash866

862

2003 Methods for reliability and uncertainty assessment and for applicability eva-luations of classification- and regression-based QSARs Environ Health Perspect 1111361ndash1375

Escalante AE Rebolleda-Goacutemez M Beniacutetez M Travisano M 2015 Ecological per-spectives on synthetic biology insights from microbial population biology FrontMicrobiol 6 143 httpdxdoiorg103389fmicb201500143

Fernaacutendez-Aacutelvaro E Snajdrova R Jochens H Davids T Boumlttcher D BornscheuerUT 2011 A combination of in vivo selection and cell sorting for the identification ofenantioselective biocatalysts Angew Chem Int Ed Eng 50 8584ndash8587 httpdxdoiorg101002anie201102360

Fibinger MPC Davids T Boumlttcher D Bornscheuer UT 2015 A selection assay forhaloalkane dehalogenase activity based on toxic substrates Appl MicrobiolBiotechnol 99 8955ndash8962 httpdxdoiorg101007s00253-015-6686-y

Finley SD Broadbelt LJ Hatzimanikatis V 2009 Computational framework forpredictive biodegradation Biotechnol Bioeng 104 1086ndash1097 httpdxdoiorg101002bit22489

Finley SD Broadbelt LJ Hatzimanikatis V 2010 In silico feasibility of novel bio-degradation pathways for 124-trichlorobenzene BMC Syst Biol 4 7 httpdxdoiorg1011861752-0509-4-7

Francis CW Mankin JB 1977 High nitrate denitrification in continuous flow-stirredreactors Water Res 11 httpdxdoiorg1010160043-1354(77)90061-6

Fuchs G 2011 Alternative pathways of carbon dioxide fixation insights into the earlyevolution of life Annu Rev Microbiol 65 631ndash658 httpdxdoiorg101146annurev-micro-090110-102801

Gao J Ellis LBM Wackett LP 2010 The University of Minnesota BiocatalysisBiodegradation Database improving public access Nucleic Acids Res 38 D488ndash491httpdxdoiorg101093nargkp771

Gao F Ding H Feng Z Liu D Zhao Y 2014 Functional display of triphenylmethanereductase for dye removal on the surface of Escherichia coli using N-terminal domainof ice nucleation protein Bioresour Technol 169 181ndash187 httpdxdoiorg101016jbiortech201406093

Geueke B Garg N Ghosh S Fleischmann T Holliger C Lal R Kohler H-PE2013 Metabolomics of hexachlorocyclohexane (HCH) transformation ratio of LinAto LinB determines metabolic fate of HCH isomers Environ Microbiol 151040ndash1049 httpdxdoiorg1011111462-292012009

Gilbert ES Walker AW Keasling JD 2003 A constructed microbial consortium forbiodegradation of the organophosphorus insecticide parathion Appl MicrobiolBiotechnol 61 77ndash81 httpdxdoiorg101007s00253-002-1203-5

Glass JI Assad-Garcia N Alperovich N Yooseph S Lewis MR Maruf MHutchison CA Smith HO Venter JC 2006 Essential genes of a minimal bac-terium Proc Natl Acad Sci U S A 103 425ndash430 httpdxdoiorg101073pnas0510013103

Glick BR 1995 Metabolic load and heterologous gene expression Biotechnol Adv 13247ndash261

Guazzaroni M-E Herbst F-A Lores I Tamames J Pelaacuteez AI Loacutepez-Corteacutes NAlcaide M Del Pozo MV Vieites JM von Bergen M Gallego JLR BargielaR Loacutepez-Loacutepez A Pieper DH Rosselloacute-Moacutera R Saacutenchez J Seifert J FerrerM 2013 Metaproteogenomic insights beyond bacterial response to naphthaleneexposure and bio-stimulation ISME J 7 122ndash136 httpdxdoiorg101038ismej201282

Gredell JA Frei CS Cirino PC 2012 Protein and RNA engineering to customizemicrobial molecular reporting Biotechnol J 7 477ndash499 httponlinelibrarywileycomdoi101002biot201100266full

Gutierrez T Singleton DR Berry D Yang T Aitken MD Teske A 2013Hydrocarbon-degrading bacteria enriched by the Deepwater Horizon oil spill iden-tified by cultivation and DNA-SIP ISME J 7 2091ndash2104 httpdxdoiorg101038ismej201398

Hadadi N Hafner J Shajkofci A Zisaki A Hatzimanikatis V 2016 ATLAS ofbiochemistry a repository of all possible biochemical reactions for synthetic biologyand metabolic engineering studies ACS Synth Biol 5 1155ndash1166 httpdxdoiorg101021acssynbio6b00054

Haro MA de Lorenzo V 2001 Metabolic engineering of bacteria for environmentalapplications construction of Pseudomonas strains for biodegradation of 2-chlor-otoluene J Biotechnol 85 103ndash113

Hatzimanikatis V Li C Ionita JA Henry CS Jankowski MD Broadbelt LJ2005 Exploring the diversity of complex metabolic networks Bioinforma Oxf Engl21 1603ndash1609 httpdxdoiorg101093bioinformaticsbti213

He W Yuan S Zhong W-H Siddikee MA Dai C-C 2016 Application of geneti-cally engineered microbial whole-cell biosensors for combined chemosensing ApplMicrobiol Biotechnol 100 1109ndash1119 httpdxdoiorg101007s00253-015-7160-6

Hennig S Roumldel G Ostermann K 2015 Artificial cell-cell communication as anemerging tool in synthetic biology applications J Biol Eng 9 13 httpdxdoiorg101186s13036-015-0011-2

Hicks N Vik U Taylor P Ladoukakis E Park J Kolisis F Jakobsen KS 2017Using prokaryotes for carbon capture storage Trends Biotechnol 35 22ndash32 httpdxdoiorg101016jtibtech201606011

Hodgman CE Jewett MC 2012 Cell-free synthetic biology thinking outside the cellMetab Eng 14 261ndash269 httpdxdoiorg101016jymben201109002

Huang P-S Boyken SE Baker D 2016 The coming of age of de novo protein designNature 537 320ndash327 httpdxdoiorg101038nature19946

Hutchison CA Chuang R-Y Noskov VN Assad-Garcia N Deerinck TJ EllismanMH Gill J Kannan K Karas BJ Ma L Pelletier JF Qi Z-Q Richter RAStrychalski EA Sun L Suzuki Y Tsvetanova B Wise KS Smith HO GlassJI Merryman C Gibson DG Venter JC 2016 Design and synthesis of aminimal bacterial genome Science 351 aad6253 httpdxdoiorg101126

scienceaad6253Iwakiri R Yoshihira K Ngadiman Null Futagami T Goto M Furukawa K 2004

Total degradation of pentachloroethane by an engineered Alcaligenes strain expres-sing a modified camphor monooxygenase and a hybrid dioxygenase BiosciBiotechnol Biochem 68 1353ndash1356 httpdxdoiorg101271bbb681353

Izallalen M Mahadevan R Burgard A Postier B Didonato R Sun J SchillingCH Lovley DR 2008 Geobacter sulfurreducens strain engineered for increasedrates of respiration Metab Eng 10 267ndash275 httpdxdoiorg101016jymben200806005

Janssen DB Dinkla IJT Poelarends GJ Terpstra P 2005 Bacterial degradation ofxenobiotic compounds evolution and distribution of novel enzyme activitiesEnviron Microbiol 7 1868ndash1882 httpdxdoiorg101111j1462-2920200500966x

Kanehisa M Goto S Sato Y Kawashima M Furumichi M Tanabe M 2014 Datainformation knowledge and principle back to metabolism in KEGG Nucleic AcidsRes 42 D199ndash205 httpdxdoiorg101093nargkt1076

Karig DK 2017 Cell-free synthetic biology for environmental sensing and remediationCurr Opin Biotechnol 45 69ndash75 httpdxdoiorg101016jcopbio201701010

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Khersonsky O Tawfik DS 2010 Enzyme promiscuity a mechanistic and evolutionaryperspective Annu Rev Biochem 79 471ndash505 httpdxdoiorg101146annurev-biochem-030409-143718

Kim J Copley SD 2012 Inhibitory cross-talk upon introduction of a new metabolicpathway into an existing metabolic network Proc Natl Acad Sci U S A 109E2856ndash2864 httpdxdoiorg101073pnas1208509109

Kim S Baek S-H Lee K Hahn J-S 2013a Cellulosic ethanol production using ayeast consortium displaying a minicellulosome and β-glucosidase Microb CellFactories 12 14 httpdxdoiorg1011861475-2859-12-14

Kim J Oliveros JC Nikel PI de Lorenzo V Silva-Rocha R 2013b Transcriptomicfingerprinting of Pseudomonas putida under alternative physiological regimesEnviron Microbiol Rep 5 883ndash891 httpdxdoiorg1011111758-222912090

Kim S Thiessen PA Bolton EE Chen J Fu G Gindulyte A Han L He J He SShoemaker BA Wang J Yu B Zhang J Bryant SH 2016 PubChem substanceand compound databases Nucleic Acids Res 44 D1202ndash1213 httpdxdoiorg101093nargkv951

King ZA Lloyd CJ Feist AM Palsson BO 2015 Next-generation genome-scalemodels for metabolic engineering Curr Opin Biotechnol 35 23ndash29 httpdxdoiorg101016jcopbio201412016

Kleinstiver BP Pattanayak V Prew MS Tsai SQ Nguyen NT Zheng Z JoungJK 2016 High-fidelity CRISPR-Cas9 nucleases with no detectable genome-wide off-target effects Nature 529 490ndash495 httpdxdoiorg101038nature16526

Kosuri S Church GM 2014 Large-scale de novo DNA synthesis technologies andapplications Nat Methods 11 499ndash507 httpdxdoiorg101038nmeth2918

Koutinas AA Vlysidis A Pleissner D Kopsahelis N Lopez Garcia I Kookos IKPapanikolaou S Kwan TH Lin CSK 2014 Valorization of industrial waste andby-product streams via fermentation for the production of chemicals and biopoly-mers Chem Soc Rev 43 2587ndash2627 httpdxdoiorg101039c3cs60293a

Krewski D Andersen ME Mantus E Zeise L 2009 Toxicity testing in the 21stcentury implications for human health risk assessment Risk Anal 29 474ndash479httpdxdoiorg101111j1539-6924200801150x

Kube M Chernikova TN Al-Ramahi Y Beloqui A Lopez-Cortez N Guazzaroni M-E Heipieper HJ Klages S Kotsyurbenko OR Langer I Nechitaylo TYLuumlnsdorf H Fernaacutendez M Juaacuterez S Ciordia S Singer A Kagan O Egorova OPetit PA Stogios P Kim Y Tchigvintsev A Flick R Denaro R Genovese MAlbar JP Reva ON Martiacutenez-Gomariz M Tran H Ferrer M Savchenko AYakunin AF Yakimov MM Golyshina OV Reinhardt R Golyshin PN 2013Genome sequence and functional genomic analysis of the oil-degrading bacteriumOleispira antarctica Nat Commun 4 2156 httpdxdoiorg101038ncomms3156

Kuipers RK Joosten H-J van Berkel WJH Leferink NGH Rooijen E IttmannE van Zimmeren F Jochens H Bornscheuer U Vriend G dos Santos VAPMSchaap PJ 2010 3DM systematic analysis of heterogeneous superfamily data todiscover protein functionalities Proteins 78 2101ndash2113 httpdxdoiorg101002prot22725

Kurumbang NP Dvorak P Bendl J Brezovsky J Prokop Z Damborsky J 2014Computer-assisted engineering of the synthetic pathway for biodegradation of a toxicpersistent pollutant ACS Synth Biol 3 172ndash181 httpdxdoiorg101021sb400147n

Latino DARS Wicker J Guumltlein M Schmid E Kramer S Fenner K 2017 Eawag-Soil in enviPath a new resource for exploring regulatory pesticide soil biodegrada-tion pathways and half-life data Environ Sci Processes Impacts 19 449ndash464httpdxdoiorg101039c6em00697c

Lee J Cao L Ow SY Barrios-Llerena ME Chen W Wood TK Wright PC 2006Proteome changes after metabolic engineering to enhance aerobic mineralization ofcis‑12-dichloroethylene J Proteome Res 5 1388ndash1397 httpdxdoiorg101021pr060008t

Lee JW Na D Park JM Lee J Choi S Lee SY 2012 Systems metabolic en-gineering of microorganisms for natural and non-natural chemicals Nat Chem Biol8 536ndash546 httpdxdoiorg101038nchembio970

Lehrbach PR Zeyer J Reineke W Knackmuss HJ Timmis KN 1984 Enzymerecruitment in vitro use of cloned genes to extend the range of haloaromatics de-graded by Pseudomonas sp strain B13 J Bacteriol 158 1025ndash1032

Li G-Q Ma T Li S-S Li H Liang F-L Liu R-L 2007 Improvement of di-benzothiophene desulfurization activity by removing the gene overlap in the dsz

P Dvořaacutek et al Biotechnology Advances 35 (2017) 845ndash866

863

operon Biosci Biotechnol Biochem 71 849ndash854 httpdxdoiorg101271bbb60189

Li Z Yoshida N Wang A Nan J Liang B Zhang C Zhang D Suzuki D Zhou XXiao Z Katayama A 2015 Anaerobic mineralization of 246-tribromophenol toCO2 by a synthetic microbial community comprising Clostridium Dehalobacter andDesulfatiglans Bioresour Technol 176 225ndash232 httpdxdoiorg101016jbiortech201410097

Libis V Deleacutepine B Faulon J-L 2016 Expanding biosensing abilities through com-puter-aided design of metabolic pathways ACS Synth Biol 5 1076ndash1085 httpdxdoiorg101021acssynbio5b00225

Liss M Daubert D Brunner K Kliche K Hammes U Leiherer A Wagner R 2012Embedding permanent watermarks in synthetic genes PLoS One 7 e42465 httpdxdoiorg101371journalpone0042465

Litchfield C 2005 Thirty years and counting bioremediation in its prime Bioscience55 273ndash279 httpdxdoiorg1016410006-3568(2005)055[0273TYACBI]20CO2

Liu X Germaine KJ Ryan D Dowling DN 2010 Genetically modifiedPseudomonas biosensing biodegraders to detect PCB and chlorobenzoate bioavail-ability and biodegradation in contaminated soils Bioeng Bugs 1 198ndash206 httpdxdoiorg104161bbug1312443

Liu J Tan L Wang J Wang Z Ni H Li L 2016 Complete biodegradation ofchlorpyrifos by engineered Pseudomonas putida cells expressing surface-immobilizedlaccases Chemosphere 157 200ndash207 httpdxdoiorg101016jchemosphere201605031

Loeschcke A Markert A Wilhelm S Wirtz A Rosenau F Jaeger K-E Drepper T2013 TREX a universal tool for the transfer and expression of biosynthetic pathwaysin bacteria ACS Synth Biol 2 22ndash33 httpdxdoiorg101021sb3000657

Long MR Ong WK Reed JL 2015 Computational methods in metabolic en-gineering for strain design Curr Opin Biotechnol 34 135ndash141 httpdxdoiorg101016jcopbio201412019

Lorenzo V Loza-Tavera H 2011 Microbial bioremediation of chemical pollutants howbacteria cope with multi-stress environmental scenarios In Storz G Hengge R(Eds) Bacterial Stress Responses Second edition ASM Press Washington DC pp481ndash492 httpdxdoiorg1011289781555816841ch30

Lovley DR Phillips EJP Gorby YA Landa ER 1991 Microbial reduction of ur-anium Nature 350 413ndash416 httpdxdoiorg101038350413a0

Lykidis A Peacuterez-Pantoja D Ledger T Mavromatis K Anderson IJ Ivanova NNHooper SD Lapidus A Lucas S Gonzaacutelez B Kyrpides NC 2010 The completemultipartite genome sequence of Cupriavidus necator JMP134 a versatile pollutantdegrader PLoS One 5 e9729 httpdxdoiorg101371journalpone0009729

Marathe NP Pal C Gaikwad SS Jonsson V Kristiansson E Larsson DGJ 2017Untreated urban waste contaminates Indian river sediments with resistance genes tolast resort antibiotics Water Res 124 388ndash397 httpdxdoiorg101016jwatres201707060

Martiacutenez I Mohamed ME-S Rozas D Garciacutea JL Diacuteaz E 2016 Engineering syn-thetic bacterial consortia for enhanced desulfurization and revalorization of oil sulfurcompounds Metab Eng 35 46ndash54 httpdxdoiorg101016jymben201601005

Martiacutenez-Garciacutea E de Lorenzo V 2012 Transposon-based and plasmid-based genetictools for editing genomes of gram-negative bacteria Methods Mol Biol 813267ndash283 (Clifton NJ) httpdxdoiorg101007978-1-61779-412-4_16

Martiacutenez-Garciacutea E de Lorenzo V 2016 The quest for the minimal bacterial genomeCurr Opin Biotechnol 42 216ndash224 httpdxdoiorg101016jcopbio201609001

Martiacutenez-Garciacutea E Aparicio T de Lorenzo V Nikel PI 2014a New transposon toolstailored for metabolic engineering of gram-negative microbial cell factories FrontBioeng Biotechnol 2 46 httpdxdoiorg103389fbioe201400046

Martiacutenez-Garciacutea E Nikel PI Aparicio T de Lorenzo V 2014b Pseudomonas 20genetic upgrading of P putida KT2440 as an enhanced host for heterologous geneexpression Microb Cell Factories 13 159 httpdxdoiorg101186s12934-014-0159-3

Martiacutenez-Garciacutea E Aparicio T Gontildei-Moreno A Fraile S de Lorenzo V 2015 SEVA20 an update of the Standard European Vector Architecture for de-re-constructionof bacterial functionalities Nucleic Acids Res 43 D1183ndash1189 httpdxdoiorg101093nargku1114

Meckenstock RU Elsner M Griebler C Lueders T Stumpp C Aamand J AgathosSN Albrechtsen H-J Bastiaens L Bjerg PL Boon N Dejonghe W HuangWE Schmidt SI Smolders E Soslashrensen SR Springael D van Breukelen BM2015 Biodegradation updating the concepts of control for microbial cleanup incontaminated aquifers Environ Sci Technol 49 7073ndash7081 httpdxdoiorg101021acsest5b00715

Medema MH van Raaphorst R Takano E Breitling R 2012 Computational tools forthe synthetic design of biochemical pathways Nat Rev Microbiol 10 191ndash202httpdxdoiorg101038nrmicro2717

Mendes P Hoops S Sahle S Gauges R Dada J Kummer U 2009 Computationalmodeling of biochemical networks using COPASI Methods Mol Biol 500 17ndash59(Clifton NJ) httpdxdoiorg101007978-1-59745-525-1_2

Minty JJ Singer ME Scholz SA Bae C-H Ahn J-H Foster CE Liao JC LinXN 2013 Design and characterization of synthetic fungal-bacterial consortia fordirect production of isobutanol from cellulosic biomass Proc Natl Acad Sci U S A110 14592ndash14597 httpdxdoiorg101073pnas1218447110

Moraiumls S Shterzer N Lamed R Bayer EA Mizrahi I 2014 A combined cell-con-sortium approach for lignocellulose degradation by specialized Lactobacillus plan-tarum cells Biotechnol Biofuels 7 112 httpdxdoiorg1011861754-6834-7-112

Morgat A Axelsen KB Lombardot T Alcaacutentara R Aimo L Zerara M Niknejad A

Belda E Hyka-Nouspikel N Coudert E Redaschi N Bougueleret L SteinbeckC Xenarios I Bridge A 2015 Updates in Rheamdasha manually curated resource ofbiochemical reactions Nucleic Acids Res 43 D459ndash464 httpdxdoiorg101093nargku961

Mulbry W Ahrens E Karns J 1998 Use of a field-scale biofilter for the degradation ofthe organophosphate insecticide coumaphos in cattle dip wastes Pestic Sci 52268ndash274 httpdxdoiorg101002(SICI)1096-9063(199803)523lt268AID-PS719gt30CO2-2

Muschiol J Peters C Oberleitner N Mihovilovic MD Bornscheuer UT Rudroff F2015 Cascade catalysismdashstrategies and challenges en route to preparative syntheticbiology Chem Commun (Camb) 51 5798ndash5811 httpdxdoiorg101039c4cc08752f

Mutlu BR Yeom S Wackett L Aksan A 2015 Modelling and optimization of abioremediation system utilizing silica gel encapsulated whole-cell biocatalyst ChemEng J 259 574ndash580 httpdxdoiorg101016jcej201407130

Nakatsu CH Korona R Lenski RE de Bruijn FJ Marsh TL Forney LJ 1998Parallel and divergent genotypic evolution in experimental populations of Ralstoniasp J Bacteriol 180 4325ndash4331

Nancharaiah YV Mohan SV Lens PNL 2016 Biological and bioelectrochemicalrecovery of critical and scarce metals Trends Biotechnol 34 137ndash155 httpdxdoiorg101016jtibtech201511003

Nelson KE Weinel C Paulsen IT Dodson RJ Hilbert H Martins dos SantosVAP Fouts DE Gill SR Pop M Holmes M Brinkac L Beanan M DeBoyRT Daugherty S Kolonay J Madupu R Nelson W White O Peterson JKhouri H Hance I Chris Lee P Holtzapple E Scanlan D Tran K Moazzez AUtterback T Rizzo M Lee K Kosack D Moestl D Wedler H Lauber JStjepandic D Hoheisel J Straetz M Heim S Kiewitz C Eisen JA TimmisKN Duumlsterhoumlft A Tuumlmmler B Fraser CM 2002 Complete genome sequenceand comparative analysis of the metabolically versatile Pseudomonas putida KT2440Environ Microbiol 4 799ndash808

Nicolaou SA Gaida SM Papoutsakis ET 2010 A comparative view of metaboliteand substrate stress and tolerance in microbial bioprocessing from biofuels andchemicals to biocatalysis and bioremediation Metab Eng 12 307ndash331 httpdxdoiorg101016jymben201003004

Nielsen J Fussenegger M Keasling J Lee SY Liao JC Prather K Palsson B2014 Engineering synergy in biotechnology Nat Chem Biol 10 319ndash322 httpdxdoiorg101038nchembio1519

Nielsen AAK Der BS Shin J Vaidyanathan P Paralanov V Strychalski EARoss D Densmore D Voigt CA 2016 Genetic circuit design automation Science352 aac7341 httpdxdoiorg101126scienceaac7341

Nikel PI de Lorenzo V 2013 Engineering an anaerobic metabolic regime inPseudomonas putida KT2440 for the anoxic biodegradation of 13-dichloroprop-1-eneMetab Eng 15 98ndash112 httpdxdoiorg101016jymben201209006

Nikel PI Peacuterez-Pantoja D de Lorenzo V 2013 Why are chlorinated pollutants sodifficult to degrade aerobically Redox stress limits 13-dichloroprop-1-ene metabo-lism by Pseudomonas pavonaceae Philos Trans R Soc Lond Ser B Biol Sci 36820120377 httpdxdoiorg101098rstb20120377

Nikel PI Martiacutenez-Garciacutea E de Lorenzo V 2014 Biotechnological domestication ofpseudomonads using synthetic biology Nat Rev Microbiol 12 368ndash379 httpdxdoiorg101038nrmicro3253

Nikel PI Chavarriacutea M Fuhrer T Sauer U de Lorenzo V 2015 Pseudomonas putidaKT2440 strain metabolizes glucose through a cycle formed by enzymes of the Entner-Doudoroff Embden-Meyerhof-Parnas and pentose phosphate pathways J BiolChem 290 25920ndash25932 httpdxdoiorg101074jbcM115687749

Nikel PI Chavarriacutea M Danchin A de Lorenzo V 2016a From dirt to industrialapplications Pseudomonas putida as a synthetic biology chassis for hosting harshbiochemical reactions Curr Opin Chem Biol 34 20ndash29 httpdxdoiorg101016jcbpa201605011

Nikel PI Peacuterez-Pantoja D de Lorenzo V 2016b Pyridine nucleotide transhy-drogenases enable redox balance of Pseudomonas putida during biodegradation ofaromatic compounds Environ Microbiol 18 3565ndash3582 httpdxdoiorg1011111462-292013434

Nyerges Aacute Csoumlrgő B Nagy I Baacutelint B Bihari P Laacutezaacuter V Apjok G UmenhofferK Bogos B Poacutesfai G Paacutel C 2016 A highly precise and portable genome en-gineering method allows comparison of mutational effects across bacterial speciesProc Natl Acad Sci U S A 113 2502ndash2507 httpdxdoiorg101073pnas1520040113

Ohtsubo Y Maruyama F Mitsui H Nagata Y Tsuda M 2012 Complete genomesequence of Acidovorax sp strain KKS102 a polychlorinated-biphenyl degrader JBacteriol 194 6970ndash6971 httpdxdoiorg101128JB01848-12

Oide S Gunji W Moteki Y Yamamoto S Suda M Jojima T Yukawa H Inui M2015 Thermal and solvent stress cross-tolerance conferred to Corynebacterium glu-tamicum by adaptive laboratory evolution Appl Environ Microbiol 81 2284ndash2298httpdxdoiorg101128AEM03973-14

Oosterkamp MJ Veuskens T Talarico Saia F Weelink SAB Goodwin LADaligault HE Bruce DC Detter JC Tapia R Han CS Land ML Hauser LJLangenhoff AAM Gerritse J van Berkel WJH Pieper DH Junca H SmidtH Schraa G Davids M Schaap PJ Plugge CM Stams AJM 2013 Genomeanalysis and physiological comparison of Alicycliphilus denitrificans strains BC andK601(T) PLoS One 8 e66971 httpdxdoiorg101371journalpone0066971

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Parales RE Ditty JL 2005 Laboratory evolution of catabolic enzymes and pathwaysCurr Opin Biotechnol 16 315ndash325 httpdxdoiorg101016jcopbio200503008

P Dvořaacutek et al Biotechnology Advances 35 (2017) 845ndash866

864

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Paul D Pandey G Jain RK 2005 Suicidal genetically engineered microorganisms forbioremediation need and perspectives Bioessays 27 563ndash573 httpdxdoiorg101002bies20220

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Ravikumar S Baylon MG Park SJ Choi J-I 2017 Engineered microbial biosensorsbased on bacterial two-component systems as synthetic biotechnology platforms inbioremediation and biorefinery Microb Cell Factories 16 62 httpdxdoiorg101186s12934-017-0675-z

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Scott SR Hasty J 2016 Quorum sensing communication modules for microbialconsortia ACS Synth Biol 5 969ndash977 httpdxdoiorg101021acssynbio5b00286

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Silva-Rocha R de Lorenzo V 2014 Engineering multicellular logic in bacteria withmetabolic wires ACS Synth Biol 3 204ndash209 httpdxdoiorg101021sb400064y

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UniProt Consortium 2015 UniProt a hub for protein information Nucleic Acids Res 43D204ndash212 httpdxdoiorg101093nargku989

Vallenet D Calteau A Cruveiller S Gachet M Lajus A Josso A Mercier JRenaux A Rollin J Rouy Z Roche D Scarpelli C Meacutedigue C 2016MicroScope in 2017 an expanding and evolving integrated resource for communityexpertise of microbial genomes Nucleic Acids Res httpdxdoiorg101093nargkw1101

van Leeuwen JGE Wijma HJ Floor RJ van der Laan J-M Janssen DB 2012

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Directed evolution strategies for enantiocomplementary haloalkane dehalogenasesfrom chemical waste to enantiopure building blocks Chembiochem Eur J ChemBiol 13 137ndash148 httpdxdoiorg101002cbic201100579

Vilchez-Vargas R Junca H Pieper DH 2010 Metabolic networks microbial ecologyand ldquoomicsrdquo technologies towards understanding in situ biodegradation processesEnviron Microbiol 12 3089ndash3104 httpdxdoiorg101111j1462-2920201002340x

Wang HH Isaacs FJ Carr PA Sun ZZ Xu G Forest CR Church GM 2009Programming cells by multiplex genome engineering and accelerated evolutionNature 460 894ndash898 httpdxdoiorg101038nature08187

Wang B Kitney RI Joly N Buck M 2011 Engineering modular and orthogonalgenetic logic gates for robust digital-like synthetic biology Nat Commun 2 508httpdxdoiorg101038ncomms1516

Wang K Schmied WH Chin JW 2012 Reprogramming the genetic code from tri-plet to quadruplet codes Angew Chem Int Ed Eng 51 2288ndash2297 httpdxdoiorg101002anie201105016

Wang B Barahona M Buck M 2013 A modular cell-based biosensor using engineeredgenetic logic circuits to detect and integrate multiple environmental signals BiosensBioelectron 40 368ndash376 httpdxdoiorg101016jbios201208011

Wang L Xue C Wang L Zhao Q Wei W Sun Y 2016 Strain improvement ofChlorella sp for phenol biodegradation by adaptive laboratory evolution BioresourTechnol 205 264ndash268 httpdxdoiorg101016jbiortech201601022

Wei R Oeser T Schmidt J Meier R Barth M Then J Zimmermann W 2016Engineered bacterial polyester hydrolases efficiently degrade polyethylene ter-ephthalate due to relieved product inhibition Biotechnol Bioeng 113 1658ndash1665httpdxdoiorg101002bit25941

Wibberg D Bremges A Dammann-Kalinowski T Maus I Igentildeo MI Vogelsang RKoumlnig C Luque-Almagro VM Roldaacuten MD Sczyrba A Moreno-Viviaacuten CBlasco R Puumlhler A Schluumlter A 2016 Finished genome sequence and methylomeof the cyanide-degrading Pseudomonas pseudoalcaligenes strain CECT5344 as resolvedby single-molecule real-time sequencing J Biotechnol 232 61ndash68 httpdxdoiorg101016jjbiotec201604008

Wicker J Lorsbach T Guumltlein M Schmid E Latino D Kramer S Fenner K 2016enviPathmdashthe environmental contaminant biotransformation pathway resourceNucleic Acids Res 44 D502ndash508 httpdxdoiorg101093nargkv1229

Wierckx N Prieto MA Pomposiello P de Lorenzo V OConnor K Blank LM2015 Plastic waste as a novel substrate for industrial biotechnology MicrobBiotechnol 8 900ndash903 httpdxdoiorg1011111751-791512312

Wigginton N Yeston J Malakoff D 2012 Working with waste More treasure thantrash Introduction Science 337 662ndash663 httpdxdoiorg101126science3376095662

Winsor GL Griffiths EJ Lo R Dhillon BK Shay JA Brinkman FSL 2016Enhanced annotations and features for comparing thousands of Pseudomonas gen-omes in the Pseudomonas genome database Nucleic Acids Res 44 D646ndash653httpdxdoiorg101093nargkv1227

Wittich R-M Wolff P 2007 Growth of the genetically engineered strain Cupriavidusnecator RW112 with chlorobenzoates and technical chlorobiphenyls Microbiology153 186ndash195 httpdxdoiorg101099mic029096-0

Wittich R-M van Dillewijn P Ramos JL 2010 Rational construction of bacterialstrains with newimproved catabolic capabilities for the efficient breakdown of en-vironmental pollutants In Timmis KN (Ed) Handbook of Hydrocarbon and LipidMicrobiology Springer Berlin Heidelberg pp 1247ndash1254

Wolfaardt GM Lawrence JR Robarts RD Caldwell SJ Caldwell DE 1994Multicellular organization in a degradative biofilm community Appl EnvironMicrobiol 60 434ndash446

Wu G Yan Q Jones JA Tang YJ Fong SS Koffas MAG 2016 Metabolicburden cornerstones in synthetic biology and metabolic engineering applicationsTrends Biotechnol 34 652ndash664 httpdxdoiorg101016jtibtech201602010

Xu P Vansiri A Bhan N Koffas MAG 2012 ePathBrick a synthetic biology plat-form for engineering metabolic pathways in E coli ACS Synth Biol 1 256ndash266httpdxdoiorg101021sb300016b

Yadid I Rudolph J Hlouchova K Copley SD 2013 Sequestration of a highly re-active intermediate in an evolving pathway for degradation of pentachlorophenolProc Natl Acad Sci U S A 110 E2182ndash2190 httpdxdoiorg101073pnas1214052110

Yang J Liu R Jiang H Yang Y Qiao C 2012 Selection of a whole-cell biocatalystfor methyl parathion biodegradation Appl Microbiol Biotechnol 95 1625ndash1632httpdxdoiorg101007s00253-011-3792-3

Yang Y Yang J Jiang L 2016 Comment on A bacterium that degrades and assim-ilates poly(ethylene terephthalate) Science 353 759 httpdxdoiorg101126scienceaaf8305

Yoshida S Hiraga K Takehana T Taniguchi I Yamaji H Maeda Y Toyohara KMiyamoto K Kimura Y Oda K 2016a A bacterium that degrades and assimilatespoly(ethylene terephthalate) Science 351 1196ndash1199 httpdxdoiorg101126scienceaad6359

Yoshida S Hiraga K Takehana T Taniguchi I Yamaji H Maeda Y Toyohara KMiyamoto K Kimura Y Oda K 2016b Response to comment on A bacterium thatdegrades and assimilates poly(ethylene terephthalate) Science 353 759 httpdxdoiorg101126scienceaaf8625

Zobel S Benedetti I Eisenbach L de Lorenzo V Wierckx N Blank LM 2015 Tn7-based device for calibrated heterologous gene expression in Pseudomonas putida ACSSynth Biol 4 1341ndash1351 httpdxdoiorg101021acssynbio5b00058

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  • Bioremediation 30 Engineering pollutant-removing bacteria in the times of systemic biology
    • Introduction
    • Approaches and tools of systems biology and metabolic engineering for tailoring biodegradation pathways
      • Step 1 get to know the contaminant and find a suitable catabolic pathway
        • Databases
        • Pathway prediction systems and toxicity prediction algorithms
        • Detection and quantification of pathway building blocks
          • Step 2 select and get to know a suitable microbial host
            • Omics techniques in studies of bacterial degraders
              • Step 3 build the pathway and optimize its performance in the context of host metabolism
                • Computational tools for pathway and strain optimization
                • Experimental tools for pathway and strain optimization
                • Protein engineering to eliminate bottlenecks of biodegradation pathways
                    • Synthetic biology approaches and tools for biodegradation pathway engineering
                      • Development of robust microbial chassis for biodegradation of toxic chemicals
                      • Development of synthetic microbial consortia for enhanced biodegradation and bioremediation of pollutants
                      • Development of orthogonal systems in bacteria to enhance pollutant biodegradation and bioremediation
                      • Engineering microbial biodegradation pathways in vitro
                        • Towards planet-wide bioremediation interventions CO2 capture as a large-scale challenge
                        • Conclusions and perspectives
                        • Acknowledgements
                        • References
                        • Web references
Page 11: Bioremediation 3.0 Engineering pollutant-removing bacteria ... · biology, metabolic engineering, and synthetic biology, for the sake of understanding and reprograming biological

can and to some extent already contributes the same service with itsnew concepts to the fields of biodegradation and bioremediation In thethe Section 3 we will discuss examples of beneficial inclusion of syn-thetic biology into strategies for engineering pathways and whole cellsfor biodegradation of waste and polluting chemicals and perspectivesfor these initiatives

31 Development of robust microbial chassis for biodegradation of toxicchemicals

Genetic instability and negatively affected fitness are frequentlyencountered drawbacks of the native microbial hosts tailored by me-tabolic engineering for specific biodegradation purposes Syntheticbiology offers possible solutions for these problems by implementingDNA synthesis and genome editing strategies Both curiosity and pro-spective practical applications drive synthetic biologists to generatemicrobial cells with deleted parts of their genomes that encode re-dundant cryptic or even deleterious functions Such cells endowedwith a reduced genome as foundation to house and support hetero-logous genetic parts are collectively known as chassis (Adams 2016)An extreme case of a chassis is the so-called minimal cell (Glass et al2006) Chassis can be prepared by de novo synthesis of a reduced targetgenome and its implantation into a suitable cell envelope or throughsystematic deletions of non-essential genes in the genomes of an ex-isting natural host Microarray-based oligonucleotide synthesis is cur-rently used to provide a substrate (usually 5ndash50 oligos) for constructionof larger (usually 200ndash3000 bp) synthetic fragments (Kosuri andChurch 2014) Scarless methods including the popular Gibson as-sembly uracil assembly Golden Gate technology ligase cycling reac-tion or yeast recombination are used to combine sequence-verifiedgene-length fragments in even larger complexes (Casini et al 2015)DNA synthesis also allows preparation of standardized genetic parts(promoters ribosome binding sites genes terminators and so on) withverified codon-optimized sequences Despite breakthroughs in genesynthesis and DNA assembly methods this last approach for chassisconstruction seems far more feasible at the moment considering thelesser demand of chromosome editing experiments the constantly ex-panding portfolio of genetic tools and the growing list of micro-organisms with intentionally reduced genomes (Martiacutenez-Garciacutea and de

Lorenzo 2016 Si et al 2015)Discarding non-essential cell functions shows considerable potential

not only for biosynthetic purposes (Hutchison et al 2016) but also fordesigner biodegradation and bioremediation A recent report on thesystematic deletion of 11 non-adjacent genomic regions in P putidaKT2440 (Fig 5) is a unique example of genome streamlining in apopular bacterial host with well-defined biodegradation capabilities(Martiacutenez-Garciacutea et al 2014b) In all 300 genes were eliminated thatis 43 of the entire KT2440 strain genome using the scar-less deletionprocedure based on homologous recombination after in vivo DNAcleavage by the homing Saccharomyces cerevisiae nuclease I-SceI(Martiacutenez-Garciacutea and de Lorenzo 2012) A suite of functions was tar-geted including the complete flagellar machinery whose assembly andfunction drains ATP from the cells and consumes NAD(P)H Four pro-phages two transposons and three components of DNA restriction-modification systems were also eliminated to minimize genetic in-stability The resulting strains designated P putida EM42 and EM383(the latter lacks the recA gene that encodes recombinase A) showedclearly superior growth properties and improved overall physiologicalvigour compared to wild-type KT2440 Moreover due to the higherNADPHNADP+ ratio the reduced-genome strains also better toleratedendogenous oxidative stress a property that provides a crucial ad-vantage for catalysing harsh biodegradation reactions such as aerobicdehalogenation of chlorinated pollutants (Nikel et al 2013)

Despite their reliability and robustness the procedures based onthese genome editing tools are time- and labour-intensive and re-stricted to a limited number of model microorganisms This problem isnow being challenged by new protocols that profit from the type IIbacterial Clustered Regularly Interspaced Short Palindromic Repeats(CRISPR) and CRISPR-associated protein (Cas) Multiple AutomatedGenome Editing (MAGE) and combinations thereof (Barrangou andvan Pijkeren 2016 Wang et al 2009) Nonetheless these technologiesalso suffer from some weaknesses such as generation of numerous off-target mutations The off-target problem of the CRISPR-Cas system wasrecently mitigated by engineering high-fidelity Cas9 nucleases(Kleinstiver et al 2016) In a similar manner the number of off-targetmutations during MAGE was reduced substantially when temperature-sensitive control of the endogenous methyl-directed mismatch repairsystem was introduced into the E coli host together with a dominant

Fig 4 Hypersurface plot describing the effect of catalytic efficiency (kcatKm) and enantioselectivity (E-value) of haloalkane dehalogenase DhaA on the production of glycerol in the TCPpathway The hypersurface was calculated using the mathematical model of the TCP pathway (Dvorak et al 2014b) using the constraints of Kurumbang and co-workers (Kurumbanget al 2014) Positions of four DhaA variants DhaAwt (wild type kcatKm = 70 Mminus1 sminus1 E-value = 1) DhaA r5-90R (kcatKm = 20 Mminus1 sminus1 E-value = 10) DhaA31 (kcatKm = 600 Mminus1 sminus1 E-value = 1) and hypothetical DhaAXX (kcatKm = 700 Mminus1 sminus1 E-value = 10) are indicated by red dots Note that the majority of mutations (orange spheres)introduced into DhaA r5-90R and DhaA31 are adjacent to the active site (red spheres) and to the access tunnels (in green) Hypothetical enzyme DhaAXX with 10-fold improved catalyticefficiency and 10-fold improved enantioselectivity compared to DhaAwt would enable production of 1 mM glycerol (red line) from 2 mM TCP in the culture of recombinant E coliBL21(DE3) within 24 h time interval Such glycerol concentration will be sufficient to support the cell growth Figure was adopted and modified from (Kurumbang et al 2014) (Forinterpretation of the references to colour in this figure legend the reader is referred to the web version of this article)

P Dvořaacutek et al Biotechnology Advances 35 (2017) 845ndash866

855

negative mutator allele of the E coli mismatch repair protein MutL(Nyerges et al 2016) By placing this highly conserved allele togetherwith λ Red recombinase genes and a temperature-sensitive λ repressoron a single broad-host range plasmid Nyerges and co-workers provideda simplified MAGE variant (pORTMAGE) that allowed genome editingand mutant library generation in several biotechnologically and clini-cally relevant bacterial species with no need for prior modifications ofparental strains The recent discovery of the Ssr protein from P putidaDOT-T1E a functional homologue of the β protein of the λ Red re-combination system paved the way for oligonucleotide-mediatedmultiplex genome engineering in pseudomonads including P putidaKT2440 and its derived platform strains EM42 and EM383 (Aparicioet al 2016) Continuing facilitated reduction of their genomes (dele-tions of multiple repetitive sequences or certain proteases) and genomesof other relevant bacterial hosts will provide more reliable robustchassis for biodegradation pathway engineering

32 Development of synthetic microbial consortia for enhancedbiodegradation and bioremediation of pollutants

An alternative strategy that allows for the emergence of more robustmicrobe-based bioprocesses is just the opposite of the systematic de-velopment of bacterial chassis based on individual wild-type strainsNatural microbial consortia perform complicated biocatalytic taskssuch as lignocellulose degradation wastewater purification or in-testinal food digestion By dividing the labour and metabolic burdenthe consortium members become more flexible when facing complexenvironmental conditions Distribution of catabolic capacity amongcells of a single organism among different bacterial strains or evenamong species from different kingdoms is pivotal this is especially truefor biodegradation of complex toxic chemicals which encompassesmany steps and harmful intermediates with diverse physicochemicalproperties The idea of exploiting consortia for directed biodegradationof polluting compounds and bioremediation of contaminated sites thuslies ready to hand

Application of natural microbial consortia has already shown pro-mise for bioremediation of sites polluted with anthropogenic pesticidessuch as diclofop methyl or atrazine (Baghapour et al 2013 Wolfaardtet al 1994) Together with the new field of synthetic biology attemptsare being made to modify the structure of original natural consortia ordevelop completely new artificial organizations of co-operating mi-croorganisms For example co-culture of engineered E coli SD2 and Pputida KT2440 was used successfully to mineralize the insecticideparathion in shaken flasks and in biofilm culture (Gilbert et al 2003)In another study complete mineralization of 246-tribromophenol aflame-retardant intermediate and pesticide was achieved using an

artificial anaerobe consortium of reductive debrominator Dehalobactersp FTH1 a hydrogen supplier Clostridium sp Ma13 and the 4-chor-ophenol-degrading strain Desulfatiglans parachlorophenolica DS (Li et al2015) Recently Martiacutenez and co-workers introduced an attractive al-ternative strategy for engineering the 4S pathway (Fig 6A) a para-digmatic bioprocess for removal of the recalcitrant sulphur from aro-matic heterocycles in fuels (Martiacutenez et al 2016) The pathwayencoded by dszABCD genes converts the model compound di-benzothiophene (DBT) into sulphur-free 2-hydroxybiphenyl (2HBP)The authors initially synthesized and re-arranged the original genes andoptimized transcriptional and translational signals for P putida KT2440By dividing the pathway into three separate modules expressed in-dividually they were able to define previously unreported bottlenecksin the pathway that is the inhibitory effect of intermediate 2HBP-sulfinate (HBPS) on DszA and DszC monooxygenases and HBPS leakageinto the culture medium from which it could not be transported backinto the cells for further processing To prevent HBPS accumulationtwo P putida strains bearing dszC1-D1 or dszB1A1-D1 modules weremixed as a suspension of resting cells When the strains were combinedat a 14 ratio and added with cell-free extract containing extra DszBalmost 100 of DBT was transformed into 2HBP in assay conditions

Considerable attention is currently being dedicated to developingstrategies for biodegradation of oil and oil-derived chemicals Patowaryand co-workers designed a potent microbial consortium for prospectivedecontamination of sites exposed to polycyclic aromatic hydrocarbonsfrom crude oil (Patowary et al 2016) The authors first inspected thebiodegradative capacity for total petroleum hydrocarbons of 23 bac-terial isolates from petroleum-contaminated soils and subsequentlydesigned 14 artificial consortia based on the five most efficient isolatesThe best designer consortium comprised of two biosurfactant-produ-cing hydrocarbon-degrading strains of Bacillus pumilus and B cereusshowed up to 84 degradation of total petroleum hydrocarbons afterfive weeks as verified by gravimetric FTIR and GCMS analyses Ap-plication of natural or re-designed bacteria and their consortia alsoholds considerable promise for decomposition of oil-derived plasticwaste (Skariyachan et al 2016 Yoshida et al 2016a 2016b)

New tricks for more efficient biodegradation strategies could beadopted from inspiring current research on synthetic consortia designedto decompose and valorize lignocellulosic biomass (Minty et al 2013)Tozakidis and co-workers reported application of an engineered con-sortium of three P putida strains displaying thermophilic en-doglucanase exoglucanase or β-glucosidase for concerted hydrolysis ofcellulose at elevated temperatures (Tozakidis et al 2016) Some studiesdescribe surface display of whole designer cellulosomes ndash syntheticenzymatic nanomachines whose natural counterparts are produced bycertain cellulolytic bacteria that exploit clustered surface-attached

Fig 5 Engineered Pseudomonas putida KT2440 as a newrobust chassis for biodegradation and bioremediationMartiacutenez-Garciacutea and colleagues used in-house genomeediting tools to streamline the chromosome of Pseudomonasputida KT2440 (Martiacutenez-Garciacutea et al 2014b) Deletion of43 of the original genome gave rise to the new platformstrains EM42 and EM383 whose advantageous propertiesmake them useful chassis for engineering biodegradationpathways and other applications

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cellulases for efficient depolymerization of cellulose and hemicellulose(S Kim et al 2013 Moraiumls et al 2014) The vast majority of the workthat exploits surface display systems for whole-cell removal of en-vironmental contaminants has been restricted to individual proteinssuch as laccases methyl parathion hydrolase or triphenylmethane re-ductase (Gao et al 2014 Liu et al 2016 Yang et al 2012) It istempting to expand available surface display technologies with cellu-losome parts for the design of synthetic consortia that would catalysemore complex biodegradation reactions including polymeric substratesor toxic metabolites outside the cells

Despite their true biotechnological potential microbial consortiaremain too complex for directed long-term application either for bio-synthesis or for biodegradation It is still difficult to engineer home-ostasis and evolutionary stability in an artificial multi-cellular systemwhose behaviour becomes unpredictable with time (Escalante et al2015) Attempts to adopt principles of intercellular communication forsynthetic consortia are just at their beginnings (Hennig et al 2015Scott and Hasty 2016) Intensive co-operation of genetic engineers andevolutionary biologists with microbial ecologists and chemists willobviously be needed to derive a deeper understanding of the processesthat rule the formation and survival of natural microbial consortiaLessons learnt from nature can be implemented and combined withcompletely anthropogenic orthogonal genetic devices for more reliabledesign of stable multicellular systems

33 Development of orthogonal systems in bacteria to enhance pollutantbiodegradation and bioremediation

Orthogonal or in other words parallel independent systems1 is a key

concept in synthetic biology as long as such quality makes live systemsmore amenable to bona fide engineering Orthogonalization involveseg use of unnatural genetic codes (for example quadruplet rather thantriplet) alternative transcription-translation machineries toggleswitches and genetic circuits for assembly of novel metabolic andsignalling pathways from proteins containing non-natural amino acids(An and Chin 2009 Wang et al 2012) Such metabolic pathways couldhave new functions and would synthesize or catabolize a fresh spectrumof compounds Ideally orthogonal pathwaysmodules interact mini-mally with their natural counterparts in the host cell This improvespredictability of the component behaviour and prevents inhibitorycross-talk following introduction of the pathway or circuit into an ex-isting metabolic network (Kim and Copley 2012 Kurumbang et al2014) In an orthogonal module the input and output molecules ofgenetic circuitsmdashor enzymes and metabolites of synthetic biochemicalroutesmdashare not degraded or inactivated by side-reactions or physico-chemical conditions of the host cell While complete orthogonality isvirtually impossible in biological systems a practicable level of context-independence is indeed feasible Some examples of claimed orthogonalsystems include simple synthetic genetic circuits switches or designedmetabolic pathways These have the potential to improve function ofindividual engineered bacteria or synthetic consortia as whole-cellbiosensors and degraders of recalcitrant chemicals

Sensitivity robustness and applicability of microbial biosensors fordetecting heavy metals or halogenated hydrocarbons can be greatlyimproved by implementing orthogonal genetic devices (Bereza-Malcolm et al 2015) Thus far simple microbial biosensor designsbased on one input and two-part regulatory systems with promoter andreporter providing a coloured fluorescent bioluminescent or electricsignal prevail in the literature (Ravikumar et al 2017) Reports onmore complex multi-input systems based on Boolean logic gates are stillrare but give us a clue to future developments in the field As firstoutlined by the work of Wang et al (2016) orthogonally acting multi-

Fig 6 Examples of synthetic biology approaches applied toengineering biodegradation pathways and whole-cell de-graders (a) Martiacutenez and co-workers divided the 4Spathway for sulphur removal from aromatic heterocyclesinto two modules (dszC1-D1 and dszB1A1-D1) that wereexpressed individually in two P putida KT2440 strains toform a synthetic consortium (Martiacutenez et al 2016) Com-bining the strains at a 14 ratio and mixing them with cell-free extract from the third strain producing DszB resulted inalmost complete conversion of dibenzothiophene into sul-phur-free 2-hydroxybiphenyl in assay conditions (b) Wanget al constructed a synthetic bacterial consortium in whicheach of the two E coli strains functioned as a double inputsensor with synthetic AND gates for detecting arsenicmercury and copper ions and quorum sensing molecules(3OC6HSL Wang et al 2013) Strain 2 generated redfluorescence only in the presence of all three metal ions inculture (c) Benedetti and colleagues achieved directedtransition between planktonic and biofilm lifestyles of Pputida KT2440 by controlling cyclic di-GMP levels with anorthogonal genetic device composed of the yedQ diguany-late cyclase gene from E coli under the control of the cy-clohexanone-responsive ChnRPchnB regulatory node fromAcinetobacter johnsonii (Benedetti et al 2016) Designedcells with a synthetic operon for 1-chlorobutane biode-gradation formed inducible biofilms with higher dehalo-genase activity than free planktonic bacteria (d) Dvorakand co-workers assembled the first in vitro synthetic biode-gradation pathway for 123-trichloropropane (TCP) bycombining engineered haloalkane dehalogenase DhaA31halohydrin dehalogenase HheC and epoxide hydrolaseEchA immobilized in cross-linked enzyme aggregates(CLEAS) and polyvinyl alcohol particles (LentiKats) (Dvoraket al 2014a) The immobilized pathway converted highconcentrations of toxic TCP into glycerol in contaminatedwater for more than two months of continuous operation in

a bench-top packed bed reactor (For interpretation of the references to colour in this figure legend the reader is referred to the web version of this article)

1 The mathematical and geometrical concept of orthogonality has been adopted first bycomputing science and then by synthetic biology to signify operative independenceSystem A is orthogonal to system B if A does not influence Bmdashand vice versa

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inputmulti-output logic gates will be especially valuable for detectingmixtures of polluting chemicals (organic inorganic or both) by pro-viding a specific signal for each of the constituents (He et al 2016Wang et al 2011) Developing such biosensors is of practical im-portance as polluted environments are usually burdened with nu-merous contaminants that have diverse physicochemical propertiesThe authors engineered a set of two-input E coli-based biosensors withsynthetic AND gates using signalling sensory modules from native two-component signal transduction pathways as well as hrpR and hrpSgenes along with their HrpL promoter element from P syringae Usingthese sensors they detected arsenic mercury copper and zinc ions aswell as quorum sensing molecules in aqueous environment (Wang et al2011) The most advanced design resulted in a triple-input AND logic-gated biosensor that formed a synthetic bacterial consortium in whicheach of the two members acted as a double input sensor (Fig 6B) In thepresence of arsenic and mercury the first strain formed a quorumsensing molecule (3OC6HSL) that diffused freely into the medium andwas sensed together with Cu2+ by the second strain which provided ared fluorescent signal (Wang et al 2013) The fluorescent response wasseen only when all three metal ions were present in the culture

Reliable orthogonal devices will be crucial for engineering artificialcell-cell communication for instance taking advantage of bacterialquorum sensing systems (Hennig et al 2015 Scott and Hasty 2016)Programming the dynamics of subpopulations of synthetic consortiathat perform complex tasks will be only possible with parallel geneticcircuits and signalling molecules unknown to the host cells (Chen et al2015) As stressed by Silva-Rocha and de Lorenzo (2014) catabolicpathways for recalcitrant and xenobiotic compounds could be a reliablesource of wiring devices and molecules These pathways are frequentlyfound in specific types of organisms and metabolic crosstalk can thusbe avoided by implementing components of such networks in suitablehosts For instance aromatic molecules such as benzoate or phenol canbe used as signal inducers that are recognized by regulatory proteinsthat trigeger expression of target genes The recent determination of thecrystal structure of the sensory domain in the phenol-responsive tran-scription activator PoxR ilustrates how aromatics are sensed in bacteria(Patil et al 2016) This study paves the way for wider application ofrationally engineered transcription regulators responsive to aromaticsin the design of synthetic genetic circuits

The dynamic behaviour of the whole biodegradation pathway canalso be better studied when the route is transferred into a distant hostchassis where it acts orthogonally The orthogonal nature of the syn-thetic pathway for TCP biodegradation in the surrogate host E coliBL21 (DE3) described in Section 231 allowed a very good matchbetween in silico predicted and in vivo metabolite concentrations andprecise description of the bottlenecks (Kurumbang et al 2014) as wellas deciphering the contribution of metabolic burden and substratemetabolite toxicity to the fitness cost of TCP biotransformation bywhole-cell catalysts (Dvorak et al 2015) Despite their benefits for suchmechanistic and proof-of-concept studies laboratory E coli strainsmight not be optimally suited for the harsh conditions that accompanybiodegradation and bioremediation processes (Adams 2016 Nicolaouet al 2010) Development of reliable chassis amenable to implantationof orthogonal genetic devices is therefore desirable These new cellplatforms should be based on robust environmental strains of Pseudo-monas Rhodococcus Deinococcus and other microorganisms with broadmetabolic versatility and natural resistance to organic solvents or heavymetals (Adams 2016)

One can also take advantage of other specific properties of en-vironmental bacteria including formation of a robust biofilm As shownrecently by Benedetti and colleagues the actual physical forms ofwhole-cell biocatalysts can be mastered using orthogonal genetic parts(Fig 6C) through the so-called synthetic morphology approach (Benedettiet al 2016) Pseudomonads generate biofilms with biophysical prop-erties that depend on the species Cyclic di-GMP (c-di-GMP) is the keysignal molecule that rules the complex regulatory network mediating

the transition between planktonic cells and biofilm formation Thisfeature was exploited to design an orthogonal genetic device for ma-nipulating the native c-di-GMP biochemistry in P putida thereby con-trolling biofilm formation (Benedetti et al 2016) The E coli yedQ gene(encoding diguanylate cyclase the enzyme that synthesizes c-di-GMPfrom GTP) was placed under control of a tightly regulated cyclohex-anone-responsive expression system A synthetic operon encoding theenzymes needed for 1-chlorobutane biodegradation was also in-troduced in the engineered biofilm-forming P putida strain Upon ac-tivation of the corresponding genetic modules with appropriate in-ducers the resulting P putida biocatalyst displayed high dehalogenaseactivity in robust biofilms

The modern approaches of biological engineering accelerate thedevelopment of whole-cell biocatalysts for in situ bioremediation orbiosensing of emerging environmental pollutants Field applications ofgenetically modified microorganisms are nonetheless restricted bycurrent legislation and hindered by the unreliable behaviour of re-combinant microbes in complex fluctuating environments Syntheticbiology can help to tackle the major problems through the means de-scribed at the beginning of this chapter ie non-canonical geneticcodes and xenobiochemistry which can prevent diffusion of undesiredsequences into the environmental gene pool differentiate recombinantsfrom their natural counterparts and improve robustness and reliabilityof prepared genetic devices whole-cell degraders and biosensors Theexamples of such endeavours were recently reviewed extensively(Schmidt 2010 Schmidt and de Lorenzo 2016) These systems couldbe combined with bioluminiscence fluorescence or DNA watermarkingtechnologies to track the environmental fate of designer degraders orwith inducible suicide systems for discarding degraders once theirmission is completed (Liss et al 2012 Liu et al 2010 Paul et al2005) Yet the path to applied xenobiology is still crooked and manyethical questions remain Another concept from the portfolio of syn-thetic biology that will be discussed in the following section has thepotential to fill the time gap until we obtain reliable whole-cell catalystsand alternative solutions also acceptable for GMO critics will be pro-vided

34 Engineering microbial biodegradation pathways in vitro

The major principle of cell-free synthetic biology is that purifiedbiomolecules or components in crude cell extracts replace intact cellsfor constructing complex biomolecular systems (Hodgman and Jewett2012) To date metabolic networks that encompassgt 10 enzymeshave been reconstructed in vitro (Rollin et al 2015 Schwander et al2016) Cell-free metabolic pathways allow easy verification of bioca-talyst function determination of kinetic parameters as well as eva-luation of the network by kinetic modelling (Santacoloma et al 2011)Note however that assemby of degradative pathways in cell-free sys-tems (whether with purified enzymes or cell extracts) is not only toprototype and parametrize new routes but also for direct use in thefield (Karig 2017) Despite the drawbacks that cell-free systems cannotself-propagate that certain biomolecules can be sensitive to oxidizingenvironments and that their encapsulation and large-scale productionmight be costly these systems offer an appealing means to circumventproblems associated to GMO release to the environment Apart fromincreasing safety they offer other clear benefits For instance in vitrosystems can operate in the presence of toxins that would inhibit or killlive cells and metabolites regulators and enzymes can be produced inoptimized concentrations without interfering with cell componentsMost important for release and predictability the evolutionary oppor-tunities of such non-live agents are zero making the emergence ofunexpected properties virtually impossible

In vitro metabolic networks can suffer from suboptimal efficiencydue to the lower enzyme concentration compared to the extremelydense cell cytoplasm (Hodgman and Jewett 2012) This issue can bemitigated by enzyme immobilization and improved spatial organization

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via synthetic protein or DNA scaffolds that reduce diffusion of pathwayintermediates and promote substrate channeling (Siu et al 2015) Al-ternatively biocatalysts can be precipitated and covalently inter-connected in cross-linked enzyme aggregate particles (Sheldon 2011)this method was applied successfully to synthesize toxic nucleotideanalogues by an immobilized five-enzyme synthetic pathway (Scismand Bachmann 2010) The biochemical route described was completedwith functional ATP regeneration which demonstrates that in vitrotechnologies can cope with another possible drawback ndash limited co-factor recycling

Thus far mainly single immobilized enzymes or whole-cell bioca-talysts have been exploited in biotechnological processes intended toremove polluting chemicals such as polyethylene terephthalate 24-dinitrophenol atrazine or inorganic nitrates (Barth et al 2016Dehghanifard et al 2013 Mutlu et al 2015 Troumlgl et al 2012) In vitroassays with cell-free extracts or purified enzymes respectively helpedto identify an unknown anaerobic pathway for complete phthalatedegradation to CO2 in Thauera chlorobenzoica 3CB-1 or to decipher se-questration of the highly toxic intermediate tetrachlorobenzoquinone inpentachlorophenol degradation pathway in Sphingobium chlor-ophenolicum (Ebenau-Jehle et al 2017 Yadid et al 2013) Geuekeet al showed the benefits of an in vitro engineering approach in themodel of γ-HCH biodegradation pathway (Geueke et al 2013) Theyused a system of two purified enzymes the dehydrochlorinase LinA andthe haloalkane dehalogenase LinB which initiate biotransformation ofγ-HCH a prohibited insecticide They separately incubated five isomersthat form technical HCH (which used to be applied frequently instead ofpure γ-HCH) with various LinALinB ratios and determined metabolicprofiles of sequential biotransformations Analyses of these profileshelped determine the environmental fate of HCH isomers and showedthat the original HCH degradation pathway is optimized by evolutionfor γ-HCH but not for other isomers that co-pollute contaminated sites

The first report of in vitro assembly of a fully functional syntheticbiodegradation pathway was published by Dvorak and co-workers(Dvorak et al 2014a) The authors adopted the cell-free strategy usingimmobilized engineered haloalkane dehalogenase DhaA31 halohydrindehalogenase HheC and epoxide hydrolase EchA for TCP bio-transformation to harmless valuable glycerol in contaminated water(Fig 6D) The practical utility of bacterial recombinants that mineralizeTCP (desccribed in Sections 231 and 232) is limited by substratetoxicity and by legislative barriers on the application of GMO(Kurumbang et al 2014 Samin et al 2014) Probing the function ofthe pathway in in vitro conditions therefore lied ready to hand Theauthors successfully immobilized the pathway in the form of purifiedenzymes or cell-free extracts in cross-linked enzyme aggregates andlens-shaped polyvinyl alcohol particles The immobilized pathwayshowed almost the same efficiency of TCP-to-glycerol conversion asmixture of free enzymes Physicochemical properties of polyvinyl al-cohol lentils allowed recovery from the reaction mixture and recyclingof the pathway In addition the immobilized enzymes retainedgt 50of their initial activities for over 2 months of continuous operation in abench-top packed bed reactor The study indicated that the im-mobilized route removes TCP from heavily contaminated water with apollutant concentration (~1 gL) that would be detrimental to theliving degraders One can anticipate that such conversions of toxic TCPto useful glycerol could even pave the way for prospective valorizationof this waste chemical

Although this biotechnology requires further validation and tuningthe work showed that in vitro assembly of natural or synthetic enzy-matic pathways with engineered enzymes is a promising concept for thebiodegradation of polluting compounds and toxic industrial wasteproducts Transport of such pathways via non-live carriers is relatedconceptually to efforts to produce and release complex therapeuticagents for human use In both cases their application demands thedevelopment of a sort of environmental Galenic science that enablessupply of the engineered biological remedy when and where needed

4 Towards planet-wide bioremediation interventions CO2

capture as a large-scale challenge

Environmental deterioration due to emissions of recalcitrant che-micals seems to pale when compared to the problem of global warmingcaused by the release of greenhouse gases that originate in human ac-tivities The bulk of these gases comprise four natural molecules carbondioxide (CO2) methane (CH4) nitrous oxide (N2O) and ozone (O3) aswell as one class of xenobiotics the chlorofluorocarbons or CFC Giventhe diluted aereal and global nature of this problem the strategiescontemplated for tackling these chemical species differ considerablyfrom those that centre on site-specific pollution issues Most proposalsthus far focus much more on reducing emissions than on capture andreturning to innocuous chemical or mineral forms All these compoundshave their own natural biogeochemical cycle and in theory simplyreducing their input into the biosphere should restore the originalequilibrium (Rockstroumlm et al 2017) Recent ecological thought none-theless postulates that the impact of climate change in many ecosystemsis already irreversible by natural means and call for large-scale inter-ventions that could help to resolve this impasse (de Lorenzo et al2016) In this case what types of options could be considered from asystemic biology perspective

Some incipient attempts have appeared recently mostly in the fieldof engineering bacteria with a greater capacity for non-photosyntheticfixing of CO2 (Erb and Zarzycki 2016) One option is to use the sixalternative pathways of autotrophic carbon fixation known in nature(Fuchs 2011 Hicks et al 2017) as a starting point to optimize suchnatural processes Another possibilty is the invention of new routes byrewiring or modifying existing enzymes in a new configuration A re-markable example of this solution is the work of Antonovsky et al(2016) who showed that combining metabolic rewiring recombinantprotein expression and laboratory evolution enables the production ofsugars and other biomass constituents by a fully functional Calvin-Benson-Bassham (CBB) cycle in E coli In the bacteria designed in thisway carbon is fixed via a refactored CBB cycle whereas reducingpower and energy are derived from pyruvate oxidation (Fig 7) It isinteresting to note how evolutionary approaches adjust fluxes andgenerate connections between the designed CBB cycle and the hostbiochemical network that cannot be predicted or designed

A separate approach was recently developed by Schwander et al(2016) who developed a synthetic route for continuous CO2 fixation invitro by composing a cycle formed of 17 enzymes that convert CO2 intoorganic molecules The cycle was draughted by metabolic retro-synthesis with enzymes from nine organisms from three domains of lifefurther optimized through rounds of protein engineering and metabolicproofreading Although this completely designed pathway has not yetbeen implemented in vivo (eg in a bacterial carrier) it is a question oftime until it is done and propagated throughout an entire microbialcommunity (de Lorenzo et al 2016)

Finally todays systemic approaches enable the invention of en-zymes from scratch through de novo protein design followed by directedevolution which opens perspectives for improving the natural state ofaffairs regarding fixation of CO2 (and other greenhouse gases) as well asvalorization of this waste as biotechnological feedstocks (Huang et al2016 Renata et al 2015) A separate matter is the large-scale de-ployment of the microbial agents for CO2 retrieval Existing technologyallows their implementation in biofilters and bioreactors that captureemissions at source But how can we spread such desirable catalyticproperties at a very large even at planetary level to make a differenceSuch technologies are not yet availablemdashlet alone that they raise a largenumber of safety questions But they must necessarily be developed ifwe are not just to control greenhouse gas discharges but also aim attheir eventual reduction to pre-industrial levels (de Lorenzo et al2016)

Unfortunately greenhouse gases are not the only globally wide-spread molecules to be concerned about Much before global warming

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associated to CO2 emissions became so conspicuous widespread pol-lution by endocrine disruptors (eg alkylphenols bisphenols DDTPCBs polybrominated diphenyl ethers phthalates and per-fluorooctanoic acid) was well documented Moreover other silent pol-lutants originate in the pharmaceutical industry eg antibiotics(Marathe et al 2017) and hormones They end up in a large variety ofecosystems in a diluted but still active form Finally plastics (egpolycarbonate polystyrene polyethylene terephthalate lowhigh-density polyethylene polypropylene and polyvinyl chloride) are cur-rently receiving a considerable focus as a major environmental pro-blem A number of microbial strains able to totally or partially act uponthese compounds have been isolated (see above) but in general thebiodegradation process is very slow The global nature of these types ofpollution thus requires the development of new efficient microbialpathways for their elimination quite a challenge for contemporarysynthetic biologists and metabolic engineers (de Lorenzo 2017)Butmdashas is the case for CO2 capture mentioned abovemdashpathways andhosts able to deploy them are not enough Effective strategies for globaldispersion of biodegradative activities of interest are badly nee-dedmdashperhaps inspired in gene drives or some type of self-propagatingmassive horizontal gene transfer (de Lorenzo et al 2016)

5 Conclusions and perspectives

The practical examples described in the preceding sections showthat technologies of systemic biology offer promise not only for therenaissance of bioremediation using anthropogenically enhanced mi-crobial degraders but also for entry to the new era of Bioremediation30 The bottlenecks described at the beginning of this text are one byone being released or removed with the help of new computational andexperimental tools Databases and pathway prediction systems help the

user to select suitable chemically and energetically feasible traits fordesired tasks Multi-omic analyses provide valuable information thatfacilitates choice of a suitable host Genome-scale and kinetic modelsapplied hand-in-hand with genetic engineering techniques enable tai-loring of gene expression reduction of metabolic burden and pathwayoptimization in the context of host metabolism The visionary conceptsof synthetic biology and global scale CO2 bioremediation open up newdimensions for engineering microbial degraders General work schemesand standards for design building and fine-tuning of selected bio-chemical routes networks and whole-cell biocatalysts are simulta-neously becoming better defined and accepted by the community

Despite the clear progress over the last decade of biochemical andbiological engineering the vast complexity of the living cell remainsthe major hurdle for any attempt for fully rational pathway design Inthe case of biosensing and biodegradation pathway design and pro-spective applications of the genetically-modified microbes this problemis exacerbated by the complexity of intercellular and interspecific in-teractions and by the still poorly understood interplay between thebiotic and abiotic factors that govern contaminant biodegradation inpolluted ecosystems (de Lorenzo 2008 Meckenstock et al 2015) Weassume that in principle there are two ways to address this challengenow and in future

The first admits that complexity of biological systems will not beresolved anytime soon and thus bets on combining rational designs withnatural evolution at the end of the DBTA cycle thus expanding it toDBTAE (Design-Build-Test-Analyze-Evolve) Adaptive laboratory evo-lution (ALE) is a high calibre tool of this approach ALE is now frequentlyused by academic and industrial laboratories to evolve desired prop-erties in environmental bacteria and for fine-tuning recombinant mi-croorganisms but its principles have been well known since the time ofthe very first attempts to modify microbial phenotypes (Kellogg et al

Fig 7 Hemiautotrophic growth of engineered E coli al-lowed by decoupling energy production and carbon fixa-tion The hemiautotrophic growth was observed after per-forming three distinct steps (i) Calvin-Benson-Bassham(CBB) cycle for the biosynthesis of sugars from CO2 wascompleted by introducing only two exogenous enzymaticactivities phosphoribulokinase (prkA) and RuBisCO (ii)phosphoglycerate mutase genes gpmA and gpmM were de-leted to separate central metabolism into two sub-systemsie a CO2-fixing part that included PrkA RuBisCO upperglycolysis and the pentose phosphate pathway and an en-ergy-supplying module that employed lower glycolysis andthe TCA cycle (iii) the engineered strain bearing furthermutations (ΔpfkA ΔpfkB Δzwf) was exposed to the strongselective pressure towards greater carbon fixation in xylose-limited chemostat with a surplus pyruvate and CO2Emerged mutations made designed CBB cycle functionaland the hemiautotrophic strain that replaced utilisation ofxylose with CO2 fixation dominated the populationFigure adapted from Antonovsky et al (2016)

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1981) In biodegradation research exposing microorganisms with de-sirable catabolic traits to the target chemical(s) for prolonged intervalsin chemostat or shaken-flask cultures enabled isolation of bacteria ableto use persistent compounds such as 245-trichlorophenoxyacetic acid(the defoliating Agent Orange) or helped improve atrazine degradationrates by Pseudomonas sp ADP or 24-dichlorophenoxyacetic by Ral-stonia sp TFD41 (Devers et al 2008 Kellogg et al 1981 Nakatsuet al 1998) Nonetheless the potential of ALE in engineering microbialdegraders has yet not been fully exploited ALE will be an ideal tool forempowering rationally pre-designed recombinants with resistance todiverse environmental stresses encountered in directed biodegradationprocesses or in polluted ecosystems (Nicolaou et al 2010 Oide et al2015 Wang et al 2016) When combined with whole-genome se-quencing and reverse engineering ALE as an evolutionary ldquoblindrdquo ap-proach can paradoxically contribute to further rationalizing the field byexposing otherwise unpredictable complex changes in multitrait phe-notypes

The second approach bets on technology without compromise andwill take advantage of continuing technological revolution in biologyand related sciences We recently witnessed the attempt of syntheticbiologists to implement automation as we know it from electronic en-gineering in the design of orthogonal genetic circuits that would co-ordinate the actions of selected microbial chassis (Nielsen et al 2016)The genetic ldquogutsrdquo and pathway enzymes of the chassis can be designedand synthesized de novo or be tailored rapidly with surgical precisionusing new genome editing and protein engineering tools (Huang et al2016 Hutchison et al 2016 Nyerges et al 2016 Ran et al 2013Renata et al 2015) Although the circuit design tools still work pre-dominantly with simple logic gates the robustness and utility of theavailable minimal cells is limited and de novo-designed enzymes havelow activity we can assume that the efficiency reliability and timedemand of such exercises will be further improved by progress incomputer science and artificial intelligence development that couldcrack the complexity of life A purely technological approach wouldomit any unknowns from the DBTA cycle with help of reliable com-putational simulations thus expanding it to DSBTA (Design-Simulate-Build-Test-Analyze) and providing space for construction of whole-cellcatalysts perfectly tailored for specific biodegradation tasks

The challenges of both approaches applied to directed in situ bior-emediation encompass the development of test schemes that will ex-pose engineered organisms to mimicked environmental conditions in-cluding limiting carbon sources lack of oxygen or redox recycling masstransfer perturbations or interspecific predation (Meckenstock et al2015) A critical issue will be the choice and establishment of newchassis organisms better suited to field biotransformations than thecurrently available laboratory strains in terms of resistance to harshconditions including extreme pH temperature osmotic pressure orfluctuating concentrations of toxic chemicals (Adams 2016) Thesenew strains must simultaneously be reliable amenable to genetic ma-nipulation have mapped genomes and ideally metabolic models athand The in situ bioremediation quests will be complicated by thevarying nature of polluting compounds their mixtures and transfor-mation products all of which can be present at a single site (Sarigiannisand Hansen 2012) Future microbial degraders must therefore be de-signed to cope with several problem compounds in parallel and notonly in terms of degradation or mineralization The succesful conver-sion of dangerous contaminants into usable molecules that can be fur-ther valorized by whole-cell or cell-free biocatalysts is a desirablestarting point for the development of new technologies that extendstandard concepts of biodegradation and bioremediation (Dvorak et al2014a Wigginton et al 2012) Microbe-driven trash-to-treasure con-versions are known from established biomass valorization processesbut this concept can also be implemented in wastewater treatmentmetal and plastic recycling or in direct valorization of industrial by-product streams or captured greenhouse gases (Bornscheuer 2016Koutinas et al 2014 Nancharaiah et al 2016 Wierckx et al 2015)

Even so the major challenge to the entire field of engineered de-graders is not related to continued progress in the development of im-proved technologies which is inevitable but rather to the dissemina-tion and popularization of achievements already attained Publicenvironmental concerns and regulatory constraints have not just re-stricted field tests of genetically modified microbes but also affect thequality of fundamental research and by the same token overall pro-gress in the field The exercises described in this review will only have achance to become real enterprises if the general population is inspiredby biotechnology and accepts it as an inseparable part of our dailyroutine as it did for information technology The new systemic dis-ciplines that make life less puzzling as well as emerging do-it-yourselfmovement in biotechnology can undoubtedly contribute to a generalchange of attitude (de Lorenzo and Schmidt 2017) Such change isvital because our ability to minimize production of waste and pollutingchemicals remove existing waste or use it in bioprocesses to formvalue-added compounds will shape the fate of our society on a globalscale

Acknowledgements

PD is the holder of the Marie Sklodowska-Curie grant No 704410(FUTURE) The work in Authors Laboratory was funded by theCAMBIOS Project of the Spanish Ministry of Economy andCompetitiveness RTC-2014-1777-3 (MINECO) HELIOS Project of theSpanish Ministry of Economy and Competitiveness BIO 2015-66960-C3-2-R (MINECOFEDER) and the ARISYS (ERC-2012-ADG-322797)EmPowerPutida (EU-H2020-BIOTEC-2014-2015-6335536) andRaft4Biotech (720776) contracts of the European Union JD is sup-ported also by the Czech Ministry of Education (LQ1605 LO1214LM2015055) and Czech Grant Agency (GA16-06096S) The financialsupport of The Novo Nordisk Foundation to PIN is also gratefully ac-knowledged

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Martiacutenez-Garciacutea E Nikel PI Aparicio T de Lorenzo V 2014b Pseudomonas 20genetic upgrading of P putida KT2440 as an enhanced host for heterologous geneexpression Microb Cell Factories 13 159 httpdxdoiorg101186s12934-014-0159-3

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Wang B Kitney RI Joly N Buck M 2011 Engineering modular and orthogonalgenetic logic gates for robust digital-like synthetic biology Nat Commun 2 508httpdxdoiorg101038ncomms1516

Wang K Schmied WH Chin JW 2012 Reprogramming the genetic code from tri-plet to quadruplet codes Angew Chem Int Ed Eng 51 2288ndash2297 httpdxdoiorg101002anie201105016

Wang B Barahona M Buck M 2013 A modular cell-based biosensor using engineeredgenetic logic circuits to detect and integrate multiple environmental signals BiosensBioelectron 40 368ndash376 httpdxdoiorg101016jbios201208011

Wang L Xue C Wang L Zhao Q Wei W Sun Y 2016 Strain improvement ofChlorella sp for phenol biodegradation by adaptive laboratory evolution BioresourTechnol 205 264ndash268 httpdxdoiorg101016jbiortech201601022

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P Dvořaacutek et al Biotechnology Advances 35 (2017) 845ndash866

866

  • Bioremediation 30 Engineering pollutant-removing bacteria in the times of systemic biology
    • Introduction
    • Approaches and tools of systems biology and metabolic engineering for tailoring biodegradation pathways
      • Step 1 get to know the contaminant and find a suitable catabolic pathway
        • Databases
        • Pathway prediction systems and toxicity prediction algorithms
        • Detection and quantification of pathway building blocks
          • Step 2 select and get to know a suitable microbial host
            • Omics techniques in studies of bacterial degraders
              • Step 3 build the pathway and optimize its performance in the context of host metabolism
                • Computational tools for pathway and strain optimization
                • Experimental tools for pathway and strain optimization
                • Protein engineering to eliminate bottlenecks of biodegradation pathways
                    • Synthetic biology approaches and tools for biodegradation pathway engineering
                      • Development of robust microbial chassis for biodegradation of toxic chemicals
                      • Development of synthetic microbial consortia for enhanced biodegradation and bioremediation of pollutants
                      • Development of orthogonal systems in bacteria to enhance pollutant biodegradation and bioremediation
                      • Engineering microbial biodegradation pathways in vitro
                        • Towards planet-wide bioremediation interventions CO2 capture as a large-scale challenge
                        • Conclusions and perspectives
                        • Acknowledgements
                        • References
                        • Web references
Page 12: Bioremediation 3.0 Engineering pollutant-removing bacteria ... · biology, metabolic engineering, and synthetic biology, for the sake of understanding and reprograming biological

negative mutator allele of the E coli mismatch repair protein MutL(Nyerges et al 2016) By placing this highly conserved allele togetherwith λ Red recombinase genes and a temperature-sensitive λ repressoron a single broad-host range plasmid Nyerges and co-workers provideda simplified MAGE variant (pORTMAGE) that allowed genome editingand mutant library generation in several biotechnologically and clini-cally relevant bacterial species with no need for prior modifications ofparental strains The recent discovery of the Ssr protein from P putidaDOT-T1E a functional homologue of the β protein of the λ Red re-combination system paved the way for oligonucleotide-mediatedmultiplex genome engineering in pseudomonads including P putidaKT2440 and its derived platform strains EM42 and EM383 (Aparicioet al 2016) Continuing facilitated reduction of their genomes (dele-tions of multiple repetitive sequences or certain proteases) and genomesof other relevant bacterial hosts will provide more reliable robustchassis for biodegradation pathway engineering

32 Development of synthetic microbial consortia for enhancedbiodegradation and bioremediation of pollutants

An alternative strategy that allows for the emergence of more robustmicrobe-based bioprocesses is just the opposite of the systematic de-velopment of bacterial chassis based on individual wild-type strainsNatural microbial consortia perform complicated biocatalytic taskssuch as lignocellulose degradation wastewater purification or in-testinal food digestion By dividing the labour and metabolic burdenthe consortium members become more flexible when facing complexenvironmental conditions Distribution of catabolic capacity amongcells of a single organism among different bacterial strains or evenamong species from different kingdoms is pivotal this is especially truefor biodegradation of complex toxic chemicals which encompassesmany steps and harmful intermediates with diverse physicochemicalproperties The idea of exploiting consortia for directed biodegradationof polluting compounds and bioremediation of contaminated sites thuslies ready to hand

Application of natural microbial consortia has already shown pro-mise for bioremediation of sites polluted with anthropogenic pesticidessuch as diclofop methyl or atrazine (Baghapour et al 2013 Wolfaardtet al 1994) Together with the new field of synthetic biology attemptsare being made to modify the structure of original natural consortia ordevelop completely new artificial organizations of co-operating mi-croorganisms For example co-culture of engineered E coli SD2 and Pputida KT2440 was used successfully to mineralize the insecticideparathion in shaken flasks and in biofilm culture (Gilbert et al 2003)In another study complete mineralization of 246-tribromophenol aflame-retardant intermediate and pesticide was achieved using an

artificial anaerobe consortium of reductive debrominator Dehalobactersp FTH1 a hydrogen supplier Clostridium sp Ma13 and the 4-chor-ophenol-degrading strain Desulfatiglans parachlorophenolica DS (Li et al2015) Recently Martiacutenez and co-workers introduced an attractive al-ternative strategy for engineering the 4S pathway (Fig 6A) a para-digmatic bioprocess for removal of the recalcitrant sulphur from aro-matic heterocycles in fuels (Martiacutenez et al 2016) The pathwayencoded by dszABCD genes converts the model compound di-benzothiophene (DBT) into sulphur-free 2-hydroxybiphenyl (2HBP)The authors initially synthesized and re-arranged the original genes andoptimized transcriptional and translational signals for P putida KT2440By dividing the pathway into three separate modules expressed in-dividually they were able to define previously unreported bottlenecksin the pathway that is the inhibitory effect of intermediate 2HBP-sulfinate (HBPS) on DszA and DszC monooxygenases and HBPS leakageinto the culture medium from which it could not be transported backinto the cells for further processing To prevent HBPS accumulationtwo P putida strains bearing dszC1-D1 or dszB1A1-D1 modules weremixed as a suspension of resting cells When the strains were combinedat a 14 ratio and added with cell-free extract containing extra DszBalmost 100 of DBT was transformed into 2HBP in assay conditions

Considerable attention is currently being dedicated to developingstrategies for biodegradation of oil and oil-derived chemicals Patowaryand co-workers designed a potent microbial consortium for prospectivedecontamination of sites exposed to polycyclic aromatic hydrocarbonsfrom crude oil (Patowary et al 2016) The authors first inspected thebiodegradative capacity for total petroleum hydrocarbons of 23 bac-terial isolates from petroleum-contaminated soils and subsequentlydesigned 14 artificial consortia based on the five most efficient isolatesThe best designer consortium comprised of two biosurfactant-produ-cing hydrocarbon-degrading strains of Bacillus pumilus and B cereusshowed up to 84 degradation of total petroleum hydrocarbons afterfive weeks as verified by gravimetric FTIR and GCMS analyses Ap-plication of natural or re-designed bacteria and their consortia alsoholds considerable promise for decomposition of oil-derived plasticwaste (Skariyachan et al 2016 Yoshida et al 2016a 2016b)

New tricks for more efficient biodegradation strategies could beadopted from inspiring current research on synthetic consortia designedto decompose and valorize lignocellulosic biomass (Minty et al 2013)Tozakidis and co-workers reported application of an engineered con-sortium of three P putida strains displaying thermophilic en-doglucanase exoglucanase or β-glucosidase for concerted hydrolysis ofcellulose at elevated temperatures (Tozakidis et al 2016) Some studiesdescribe surface display of whole designer cellulosomes ndash syntheticenzymatic nanomachines whose natural counterparts are produced bycertain cellulolytic bacteria that exploit clustered surface-attached

Fig 5 Engineered Pseudomonas putida KT2440 as a newrobust chassis for biodegradation and bioremediationMartiacutenez-Garciacutea and colleagues used in-house genomeediting tools to streamline the chromosome of Pseudomonasputida KT2440 (Martiacutenez-Garciacutea et al 2014b) Deletion of43 of the original genome gave rise to the new platformstrains EM42 and EM383 whose advantageous propertiesmake them useful chassis for engineering biodegradationpathways and other applications

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856

cellulases for efficient depolymerization of cellulose and hemicellulose(S Kim et al 2013 Moraiumls et al 2014) The vast majority of the workthat exploits surface display systems for whole-cell removal of en-vironmental contaminants has been restricted to individual proteinssuch as laccases methyl parathion hydrolase or triphenylmethane re-ductase (Gao et al 2014 Liu et al 2016 Yang et al 2012) It istempting to expand available surface display technologies with cellu-losome parts for the design of synthetic consortia that would catalysemore complex biodegradation reactions including polymeric substratesor toxic metabolites outside the cells

Despite their true biotechnological potential microbial consortiaremain too complex for directed long-term application either for bio-synthesis or for biodegradation It is still difficult to engineer home-ostasis and evolutionary stability in an artificial multi-cellular systemwhose behaviour becomes unpredictable with time (Escalante et al2015) Attempts to adopt principles of intercellular communication forsynthetic consortia are just at their beginnings (Hennig et al 2015Scott and Hasty 2016) Intensive co-operation of genetic engineers andevolutionary biologists with microbial ecologists and chemists willobviously be needed to derive a deeper understanding of the processesthat rule the formation and survival of natural microbial consortiaLessons learnt from nature can be implemented and combined withcompletely anthropogenic orthogonal genetic devices for more reliabledesign of stable multicellular systems

33 Development of orthogonal systems in bacteria to enhance pollutantbiodegradation and bioremediation

Orthogonal or in other words parallel independent systems1 is a key

concept in synthetic biology as long as such quality makes live systemsmore amenable to bona fide engineering Orthogonalization involveseg use of unnatural genetic codes (for example quadruplet rather thantriplet) alternative transcription-translation machineries toggleswitches and genetic circuits for assembly of novel metabolic andsignalling pathways from proteins containing non-natural amino acids(An and Chin 2009 Wang et al 2012) Such metabolic pathways couldhave new functions and would synthesize or catabolize a fresh spectrumof compounds Ideally orthogonal pathwaysmodules interact mini-mally with their natural counterparts in the host cell This improvespredictability of the component behaviour and prevents inhibitorycross-talk following introduction of the pathway or circuit into an ex-isting metabolic network (Kim and Copley 2012 Kurumbang et al2014) In an orthogonal module the input and output molecules ofgenetic circuitsmdashor enzymes and metabolites of synthetic biochemicalroutesmdashare not degraded or inactivated by side-reactions or physico-chemical conditions of the host cell While complete orthogonality isvirtually impossible in biological systems a practicable level of context-independence is indeed feasible Some examples of claimed orthogonalsystems include simple synthetic genetic circuits switches or designedmetabolic pathways These have the potential to improve function ofindividual engineered bacteria or synthetic consortia as whole-cellbiosensors and degraders of recalcitrant chemicals

Sensitivity robustness and applicability of microbial biosensors fordetecting heavy metals or halogenated hydrocarbons can be greatlyimproved by implementing orthogonal genetic devices (Bereza-Malcolm et al 2015) Thus far simple microbial biosensor designsbased on one input and two-part regulatory systems with promoter andreporter providing a coloured fluorescent bioluminescent or electricsignal prevail in the literature (Ravikumar et al 2017) Reports onmore complex multi-input systems based on Boolean logic gates are stillrare but give us a clue to future developments in the field As firstoutlined by the work of Wang et al (2016) orthogonally acting multi-

Fig 6 Examples of synthetic biology approaches applied toengineering biodegradation pathways and whole-cell de-graders (a) Martiacutenez and co-workers divided the 4Spathway for sulphur removal from aromatic heterocyclesinto two modules (dszC1-D1 and dszB1A1-D1) that wereexpressed individually in two P putida KT2440 strains toform a synthetic consortium (Martiacutenez et al 2016) Com-bining the strains at a 14 ratio and mixing them with cell-free extract from the third strain producing DszB resulted inalmost complete conversion of dibenzothiophene into sul-phur-free 2-hydroxybiphenyl in assay conditions (b) Wanget al constructed a synthetic bacterial consortium in whicheach of the two E coli strains functioned as a double inputsensor with synthetic AND gates for detecting arsenicmercury and copper ions and quorum sensing molecules(3OC6HSL Wang et al 2013) Strain 2 generated redfluorescence only in the presence of all three metal ions inculture (c) Benedetti and colleagues achieved directedtransition between planktonic and biofilm lifestyles of Pputida KT2440 by controlling cyclic di-GMP levels with anorthogonal genetic device composed of the yedQ diguany-late cyclase gene from E coli under the control of the cy-clohexanone-responsive ChnRPchnB regulatory node fromAcinetobacter johnsonii (Benedetti et al 2016) Designedcells with a synthetic operon for 1-chlorobutane biode-gradation formed inducible biofilms with higher dehalo-genase activity than free planktonic bacteria (d) Dvorakand co-workers assembled the first in vitro synthetic biode-gradation pathway for 123-trichloropropane (TCP) bycombining engineered haloalkane dehalogenase DhaA31halohydrin dehalogenase HheC and epoxide hydrolaseEchA immobilized in cross-linked enzyme aggregates(CLEAS) and polyvinyl alcohol particles (LentiKats) (Dvoraket al 2014a) The immobilized pathway converted highconcentrations of toxic TCP into glycerol in contaminatedwater for more than two months of continuous operation in

a bench-top packed bed reactor (For interpretation of the references to colour in this figure legend the reader is referred to the web version of this article)

1 The mathematical and geometrical concept of orthogonality has been adopted first bycomputing science and then by synthetic biology to signify operative independenceSystem A is orthogonal to system B if A does not influence Bmdashand vice versa

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inputmulti-output logic gates will be especially valuable for detectingmixtures of polluting chemicals (organic inorganic or both) by pro-viding a specific signal for each of the constituents (He et al 2016Wang et al 2011) Developing such biosensors is of practical im-portance as polluted environments are usually burdened with nu-merous contaminants that have diverse physicochemical propertiesThe authors engineered a set of two-input E coli-based biosensors withsynthetic AND gates using signalling sensory modules from native two-component signal transduction pathways as well as hrpR and hrpSgenes along with their HrpL promoter element from P syringae Usingthese sensors they detected arsenic mercury copper and zinc ions aswell as quorum sensing molecules in aqueous environment (Wang et al2011) The most advanced design resulted in a triple-input AND logic-gated biosensor that formed a synthetic bacterial consortium in whicheach of the two members acted as a double input sensor (Fig 6B) In thepresence of arsenic and mercury the first strain formed a quorumsensing molecule (3OC6HSL) that diffused freely into the medium andwas sensed together with Cu2+ by the second strain which provided ared fluorescent signal (Wang et al 2013) The fluorescent response wasseen only when all three metal ions were present in the culture

Reliable orthogonal devices will be crucial for engineering artificialcell-cell communication for instance taking advantage of bacterialquorum sensing systems (Hennig et al 2015 Scott and Hasty 2016)Programming the dynamics of subpopulations of synthetic consortiathat perform complex tasks will be only possible with parallel geneticcircuits and signalling molecules unknown to the host cells (Chen et al2015) As stressed by Silva-Rocha and de Lorenzo (2014) catabolicpathways for recalcitrant and xenobiotic compounds could be a reliablesource of wiring devices and molecules These pathways are frequentlyfound in specific types of organisms and metabolic crosstalk can thusbe avoided by implementing components of such networks in suitablehosts For instance aromatic molecules such as benzoate or phenol canbe used as signal inducers that are recognized by regulatory proteinsthat trigeger expression of target genes The recent determination of thecrystal structure of the sensory domain in the phenol-responsive tran-scription activator PoxR ilustrates how aromatics are sensed in bacteria(Patil et al 2016) This study paves the way for wider application ofrationally engineered transcription regulators responsive to aromaticsin the design of synthetic genetic circuits

The dynamic behaviour of the whole biodegradation pathway canalso be better studied when the route is transferred into a distant hostchassis where it acts orthogonally The orthogonal nature of the syn-thetic pathway for TCP biodegradation in the surrogate host E coliBL21 (DE3) described in Section 231 allowed a very good matchbetween in silico predicted and in vivo metabolite concentrations andprecise description of the bottlenecks (Kurumbang et al 2014) as wellas deciphering the contribution of metabolic burden and substratemetabolite toxicity to the fitness cost of TCP biotransformation bywhole-cell catalysts (Dvorak et al 2015) Despite their benefits for suchmechanistic and proof-of-concept studies laboratory E coli strainsmight not be optimally suited for the harsh conditions that accompanybiodegradation and bioremediation processes (Adams 2016 Nicolaouet al 2010) Development of reliable chassis amenable to implantationof orthogonal genetic devices is therefore desirable These new cellplatforms should be based on robust environmental strains of Pseudo-monas Rhodococcus Deinococcus and other microorganisms with broadmetabolic versatility and natural resistance to organic solvents or heavymetals (Adams 2016)

One can also take advantage of other specific properties of en-vironmental bacteria including formation of a robust biofilm As shownrecently by Benedetti and colleagues the actual physical forms ofwhole-cell biocatalysts can be mastered using orthogonal genetic parts(Fig 6C) through the so-called synthetic morphology approach (Benedettiet al 2016) Pseudomonads generate biofilms with biophysical prop-erties that depend on the species Cyclic di-GMP (c-di-GMP) is the keysignal molecule that rules the complex regulatory network mediating

the transition between planktonic cells and biofilm formation Thisfeature was exploited to design an orthogonal genetic device for ma-nipulating the native c-di-GMP biochemistry in P putida thereby con-trolling biofilm formation (Benedetti et al 2016) The E coli yedQ gene(encoding diguanylate cyclase the enzyme that synthesizes c-di-GMPfrom GTP) was placed under control of a tightly regulated cyclohex-anone-responsive expression system A synthetic operon encoding theenzymes needed for 1-chlorobutane biodegradation was also in-troduced in the engineered biofilm-forming P putida strain Upon ac-tivation of the corresponding genetic modules with appropriate in-ducers the resulting P putida biocatalyst displayed high dehalogenaseactivity in robust biofilms

The modern approaches of biological engineering accelerate thedevelopment of whole-cell biocatalysts for in situ bioremediation orbiosensing of emerging environmental pollutants Field applications ofgenetically modified microorganisms are nonetheless restricted bycurrent legislation and hindered by the unreliable behaviour of re-combinant microbes in complex fluctuating environments Syntheticbiology can help to tackle the major problems through the means de-scribed at the beginning of this chapter ie non-canonical geneticcodes and xenobiochemistry which can prevent diffusion of undesiredsequences into the environmental gene pool differentiate recombinantsfrom their natural counterparts and improve robustness and reliabilityof prepared genetic devices whole-cell degraders and biosensors Theexamples of such endeavours were recently reviewed extensively(Schmidt 2010 Schmidt and de Lorenzo 2016) These systems couldbe combined with bioluminiscence fluorescence or DNA watermarkingtechnologies to track the environmental fate of designer degraders orwith inducible suicide systems for discarding degraders once theirmission is completed (Liss et al 2012 Liu et al 2010 Paul et al2005) Yet the path to applied xenobiology is still crooked and manyethical questions remain Another concept from the portfolio of syn-thetic biology that will be discussed in the following section has thepotential to fill the time gap until we obtain reliable whole-cell catalystsand alternative solutions also acceptable for GMO critics will be pro-vided

34 Engineering microbial biodegradation pathways in vitro

The major principle of cell-free synthetic biology is that purifiedbiomolecules or components in crude cell extracts replace intact cellsfor constructing complex biomolecular systems (Hodgman and Jewett2012) To date metabolic networks that encompassgt 10 enzymeshave been reconstructed in vitro (Rollin et al 2015 Schwander et al2016) Cell-free metabolic pathways allow easy verification of bioca-talyst function determination of kinetic parameters as well as eva-luation of the network by kinetic modelling (Santacoloma et al 2011)Note however that assemby of degradative pathways in cell-free sys-tems (whether with purified enzymes or cell extracts) is not only toprototype and parametrize new routes but also for direct use in thefield (Karig 2017) Despite the drawbacks that cell-free systems cannotself-propagate that certain biomolecules can be sensitive to oxidizingenvironments and that their encapsulation and large-scale productionmight be costly these systems offer an appealing means to circumventproblems associated to GMO release to the environment Apart fromincreasing safety they offer other clear benefits For instance in vitrosystems can operate in the presence of toxins that would inhibit or killlive cells and metabolites regulators and enzymes can be produced inoptimized concentrations without interfering with cell componentsMost important for release and predictability the evolutionary oppor-tunities of such non-live agents are zero making the emergence ofunexpected properties virtually impossible

In vitro metabolic networks can suffer from suboptimal efficiencydue to the lower enzyme concentration compared to the extremelydense cell cytoplasm (Hodgman and Jewett 2012) This issue can bemitigated by enzyme immobilization and improved spatial organization

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via synthetic protein or DNA scaffolds that reduce diffusion of pathwayintermediates and promote substrate channeling (Siu et al 2015) Al-ternatively biocatalysts can be precipitated and covalently inter-connected in cross-linked enzyme aggregate particles (Sheldon 2011)this method was applied successfully to synthesize toxic nucleotideanalogues by an immobilized five-enzyme synthetic pathway (Scismand Bachmann 2010) The biochemical route described was completedwith functional ATP regeneration which demonstrates that in vitrotechnologies can cope with another possible drawback ndash limited co-factor recycling

Thus far mainly single immobilized enzymes or whole-cell bioca-talysts have been exploited in biotechnological processes intended toremove polluting chemicals such as polyethylene terephthalate 24-dinitrophenol atrazine or inorganic nitrates (Barth et al 2016Dehghanifard et al 2013 Mutlu et al 2015 Troumlgl et al 2012) In vitroassays with cell-free extracts or purified enzymes respectively helpedto identify an unknown anaerobic pathway for complete phthalatedegradation to CO2 in Thauera chlorobenzoica 3CB-1 or to decipher se-questration of the highly toxic intermediate tetrachlorobenzoquinone inpentachlorophenol degradation pathway in Sphingobium chlor-ophenolicum (Ebenau-Jehle et al 2017 Yadid et al 2013) Geuekeet al showed the benefits of an in vitro engineering approach in themodel of γ-HCH biodegradation pathway (Geueke et al 2013) Theyused a system of two purified enzymes the dehydrochlorinase LinA andthe haloalkane dehalogenase LinB which initiate biotransformation ofγ-HCH a prohibited insecticide They separately incubated five isomersthat form technical HCH (which used to be applied frequently instead ofpure γ-HCH) with various LinALinB ratios and determined metabolicprofiles of sequential biotransformations Analyses of these profileshelped determine the environmental fate of HCH isomers and showedthat the original HCH degradation pathway is optimized by evolutionfor γ-HCH but not for other isomers that co-pollute contaminated sites

The first report of in vitro assembly of a fully functional syntheticbiodegradation pathway was published by Dvorak and co-workers(Dvorak et al 2014a) The authors adopted the cell-free strategy usingimmobilized engineered haloalkane dehalogenase DhaA31 halohydrindehalogenase HheC and epoxide hydrolase EchA for TCP bio-transformation to harmless valuable glycerol in contaminated water(Fig 6D) The practical utility of bacterial recombinants that mineralizeTCP (desccribed in Sections 231 and 232) is limited by substratetoxicity and by legislative barriers on the application of GMO(Kurumbang et al 2014 Samin et al 2014) Probing the function ofthe pathway in in vitro conditions therefore lied ready to hand Theauthors successfully immobilized the pathway in the form of purifiedenzymes or cell-free extracts in cross-linked enzyme aggregates andlens-shaped polyvinyl alcohol particles The immobilized pathwayshowed almost the same efficiency of TCP-to-glycerol conversion asmixture of free enzymes Physicochemical properties of polyvinyl al-cohol lentils allowed recovery from the reaction mixture and recyclingof the pathway In addition the immobilized enzymes retainedgt 50of their initial activities for over 2 months of continuous operation in abench-top packed bed reactor The study indicated that the im-mobilized route removes TCP from heavily contaminated water with apollutant concentration (~1 gL) that would be detrimental to theliving degraders One can anticipate that such conversions of toxic TCPto useful glycerol could even pave the way for prospective valorizationof this waste chemical

Although this biotechnology requires further validation and tuningthe work showed that in vitro assembly of natural or synthetic enzy-matic pathways with engineered enzymes is a promising concept for thebiodegradation of polluting compounds and toxic industrial wasteproducts Transport of such pathways via non-live carriers is relatedconceptually to efforts to produce and release complex therapeuticagents for human use In both cases their application demands thedevelopment of a sort of environmental Galenic science that enablessupply of the engineered biological remedy when and where needed

4 Towards planet-wide bioremediation interventions CO2

capture as a large-scale challenge

Environmental deterioration due to emissions of recalcitrant che-micals seems to pale when compared to the problem of global warmingcaused by the release of greenhouse gases that originate in human ac-tivities The bulk of these gases comprise four natural molecules carbondioxide (CO2) methane (CH4) nitrous oxide (N2O) and ozone (O3) aswell as one class of xenobiotics the chlorofluorocarbons or CFC Giventhe diluted aereal and global nature of this problem the strategiescontemplated for tackling these chemical species differ considerablyfrom those that centre on site-specific pollution issues Most proposalsthus far focus much more on reducing emissions than on capture andreturning to innocuous chemical or mineral forms All these compoundshave their own natural biogeochemical cycle and in theory simplyreducing their input into the biosphere should restore the originalequilibrium (Rockstroumlm et al 2017) Recent ecological thought none-theless postulates that the impact of climate change in many ecosystemsis already irreversible by natural means and call for large-scale inter-ventions that could help to resolve this impasse (de Lorenzo et al2016) In this case what types of options could be considered from asystemic biology perspective

Some incipient attempts have appeared recently mostly in the fieldof engineering bacteria with a greater capacity for non-photosyntheticfixing of CO2 (Erb and Zarzycki 2016) One option is to use the sixalternative pathways of autotrophic carbon fixation known in nature(Fuchs 2011 Hicks et al 2017) as a starting point to optimize suchnatural processes Another possibilty is the invention of new routes byrewiring or modifying existing enzymes in a new configuration A re-markable example of this solution is the work of Antonovsky et al(2016) who showed that combining metabolic rewiring recombinantprotein expression and laboratory evolution enables the production ofsugars and other biomass constituents by a fully functional Calvin-Benson-Bassham (CBB) cycle in E coli In the bacteria designed in thisway carbon is fixed via a refactored CBB cycle whereas reducingpower and energy are derived from pyruvate oxidation (Fig 7) It isinteresting to note how evolutionary approaches adjust fluxes andgenerate connections between the designed CBB cycle and the hostbiochemical network that cannot be predicted or designed

A separate approach was recently developed by Schwander et al(2016) who developed a synthetic route for continuous CO2 fixation invitro by composing a cycle formed of 17 enzymes that convert CO2 intoorganic molecules The cycle was draughted by metabolic retro-synthesis with enzymes from nine organisms from three domains of lifefurther optimized through rounds of protein engineering and metabolicproofreading Although this completely designed pathway has not yetbeen implemented in vivo (eg in a bacterial carrier) it is a question oftime until it is done and propagated throughout an entire microbialcommunity (de Lorenzo et al 2016)

Finally todays systemic approaches enable the invention of en-zymes from scratch through de novo protein design followed by directedevolution which opens perspectives for improving the natural state ofaffairs regarding fixation of CO2 (and other greenhouse gases) as well asvalorization of this waste as biotechnological feedstocks (Huang et al2016 Renata et al 2015) A separate matter is the large-scale de-ployment of the microbial agents for CO2 retrieval Existing technologyallows their implementation in biofilters and bioreactors that captureemissions at source But how can we spread such desirable catalyticproperties at a very large even at planetary level to make a differenceSuch technologies are not yet availablemdashlet alone that they raise a largenumber of safety questions But they must necessarily be developed ifwe are not just to control greenhouse gas discharges but also aim attheir eventual reduction to pre-industrial levels (de Lorenzo et al2016)

Unfortunately greenhouse gases are not the only globally wide-spread molecules to be concerned about Much before global warming

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associated to CO2 emissions became so conspicuous widespread pol-lution by endocrine disruptors (eg alkylphenols bisphenols DDTPCBs polybrominated diphenyl ethers phthalates and per-fluorooctanoic acid) was well documented Moreover other silent pol-lutants originate in the pharmaceutical industry eg antibiotics(Marathe et al 2017) and hormones They end up in a large variety ofecosystems in a diluted but still active form Finally plastics (egpolycarbonate polystyrene polyethylene terephthalate lowhigh-density polyethylene polypropylene and polyvinyl chloride) are cur-rently receiving a considerable focus as a major environmental pro-blem A number of microbial strains able to totally or partially act uponthese compounds have been isolated (see above) but in general thebiodegradation process is very slow The global nature of these types ofpollution thus requires the development of new efficient microbialpathways for their elimination quite a challenge for contemporarysynthetic biologists and metabolic engineers (de Lorenzo 2017)Butmdashas is the case for CO2 capture mentioned abovemdashpathways andhosts able to deploy them are not enough Effective strategies for globaldispersion of biodegradative activities of interest are badly nee-dedmdashperhaps inspired in gene drives or some type of self-propagatingmassive horizontal gene transfer (de Lorenzo et al 2016)

5 Conclusions and perspectives

The practical examples described in the preceding sections showthat technologies of systemic biology offer promise not only for therenaissance of bioremediation using anthropogenically enhanced mi-crobial degraders but also for entry to the new era of Bioremediation30 The bottlenecks described at the beginning of this text are one byone being released or removed with the help of new computational andexperimental tools Databases and pathway prediction systems help the

user to select suitable chemically and energetically feasible traits fordesired tasks Multi-omic analyses provide valuable information thatfacilitates choice of a suitable host Genome-scale and kinetic modelsapplied hand-in-hand with genetic engineering techniques enable tai-loring of gene expression reduction of metabolic burden and pathwayoptimization in the context of host metabolism The visionary conceptsof synthetic biology and global scale CO2 bioremediation open up newdimensions for engineering microbial degraders General work schemesand standards for design building and fine-tuning of selected bio-chemical routes networks and whole-cell biocatalysts are simulta-neously becoming better defined and accepted by the community

Despite the clear progress over the last decade of biochemical andbiological engineering the vast complexity of the living cell remainsthe major hurdle for any attempt for fully rational pathway design Inthe case of biosensing and biodegradation pathway design and pro-spective applications of the genetically-modified microbes this problemis exacerbated by the complexity of intercellular and interspecific in-teractions and by the still poorly understood interplay between thebiotic and abiotic factors that govern contaminant biodegradation inpolluted ecosystems (de Lorenzo 2008 Meckenstock et al 2015) Weassume that in principle there are two ways to address this challengenow and in future

The first admits that complexity of biological systems will not beresolved anytime soon and thus bets on combining rational designs withnatural evolution at the end of the DBTA cycle thus expanding it toDBTAE (Design-Build-Test-Analyze-Evolve) Adaptive laboratory evo-lution (ALE) is a high calibre tool of this approach ALE is now frequentlyused by academic and industrial laboratories to evolve desired prop-erties in environmental bacteria and for fine-tuning recombinant mi-croorganisms but its principles have been well known since the time ofthe very first attempts to modify microbial phenotypes (Kellogg et al

Fig 7 Hemiautotrophic growth of engineered E coli al-lowed by decoupling energy production and carbon fixa-tion The hemiautotrophic growth was observed after per-forming three distinct steps (i) Calvin-Benson-Bassham(CBB) cycle for the biosynthesis of sugars from CO2 wascompleted by introducing only two exogenous enzymaticactivities phosphoribulokinase (prkA) and RuBisCO (ii)phosphoglycerate mutase genes gpmA and gpmM were de-leted to separate central metabolism into two sub-systemsie a CO2-fixing part that included PrkA RuBisCO upperglycolysis and the pentose phosphate pathway and an en-ergy-supplying module that employed lower glycolysis andthe TCA cycle (iii) the engineered strain bearing furthermutations (ΔpfkA ΔpfkB Δzwf) was exposed to the strongselective pressure towards greater carbon fixation in xylose-limited chemostat with a surplus pyruvate and CO2Emerged mutations made designed CBB cycle functionaland the hemiautotrophic strain that replaced utilisation ofxylose with CO2 fixation dominated the populationFigure adapted from Antonovsky et al (2016)

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1981) In biodegradation research exposing microorganisms with de-sirable catabolic traits to the target chemical(s) for prolonged intervalsin chemostat or shaken-flask cultures enabled isolation of bacteria ableto use persistent compounds such as 245-trichlorophenoxyacetic acid(the defoliating Agent Orange) or helped improve atrazine degradationrates by Pseudomonas sp ADP or 24-dichlorophenoxyacetic by Ral-stonia sp TFD41 (Devers et al 2008 Kellogg et al 1981 Nakatsuet al 1998) Nonetheless the potential of ALE in engineering microbialdegraders has yet not been fully exploited ALE will be an ideal tool forempowering rationally pre-designed recombinants with resistance todiverse environmental stresses encountered in directed biodegradationprocesses or in polluted ecosystems (Nicolaou et al 2010 Oide et al2015 Wang et al 2016) When combined with whole-genome se-quencing and reverse engineering ALE as an evolutionary ldquoblindrdquo ap-proach can paradoxically contribute to further rationalizing the field byexposing otherwise unpredictable complex changes in multitrait phe-notypes

The second approach bets on technology without compromise andwill take advantage of continuing technological revolution in biologyand related sciences We recently witnessed the attempt of syntheticbiologists to implement automation as we know it from electronic en-gineering in the design of orthogonal genetic circuits that would co-ordinate the actions of selected microbial chassis (Nielsen et al 2016)The genetic ldquogutsrdquo and pathway enzymes of the chassis can be designedand synthesized de novo or be tailored rapidly with surgical precisionusing new genome editing and protein engineering tools (Huang et al2016 Hutchison et al 2016 Nyerges et al 2016 Ran et al 2013Renata et al 2015) Although the circuit design tools still work pre-dominantly with simple logic gates the robustness and utility of theavailable minimal cells is limited and de novo-designed enzymes havelow activity we can assume that the efficiency reliability and timedemand of such exercises will be further improved by progress incomputer science and artificial intelligence development that couldcrack the complexity of life A purely technological approach wouldomit any unknowns from the DBTA cycle with help of reliable com-putational simulations thus expanding it to DSBTA (Design-Simulate-Build-Test-Analyze) and providing space for construction of whole-cellcatalysts perfectly tailored for specific biodegradation tasks

The challenges of both approaches applied to directed in situ bior-emediation encompass the development of test schemes that will ex-pose engineered organisms to mimicked environmental conditions in-cluding limiting carbon sources lack of oxygen or redox recycling masstransfer perturbations or interspecific predation (Meckenstock et al2015) A critical issue will be the choice and establishment of newchassis organisms better suited to field biotransformations than thecurrently available laboratory strains in terms of resistance to harshconditions including extreme pH temperature osmotic pressure orfluctuating concentrations of toxic chemicals (Adams 2016) Thesenew strains must simultaneously be reliable amenable to genetic ma-nipulation have mapped genomes and ideally metabolic models athand The in situ bioremediation quests will be complicated by thevarying nature of polluting compounds their mixtures and transfor-mation products all of which can be present at a single site (Sarigiannisand Hansen 2012) Future microbial degraders must therefore be de-signed to cope with several problem compounds in parallel and notonly in terms of degradation or mineralization The succesful conver-sion of dangerous contaminants into usable molecules that can be fur-ther valorized by whole-cell or cell-free biocatalysts is a desirablestarting point for the development of new technologies that extendstandard concepts of biodegradation and bioremediation (Dvorak et al2014a Wigginton et al 2012) Microbe-driven trash-to-treasure con-versions are known from established biomass valorization processesbut this concept can also be implemented in wastewater treatmentmetal and plastic recycling or in direct valorization of industrial by-product streams or captured greenhouse gases (Bornscheuer 2016Koutinas et al 2014 Nancharaiah et al 2016 Wierckx et al 2015)

Even so the major challenge to the entire field of engineered de-graders is not related to continued progress in the development of im-proved technologies which is inevitable but rather to the dissemina-tion and popularization of achievements already attained Publicenvironmental concerns and regulatory constraints have not just re-stricted field tests of genetically modified microbes but also affect thequality of fundamental research and by the same token overall pro-gress in the field The exercises described in this review will only have achance to become real enterprises if the general population is inspiredby biotechnology and accepts it as an inseparable part of our dailyroutine as it did for information technology The new systemic dis-ciplines that make life less puzzling as well as emerging do-it-yourselfmovement in biotechnology can undoubtedly contribute to a generalchange of attitude (de Lorenzo and Schmidt 2017) Such change isvital because our ability to minimize production of waste and pollutingchemicals remove existing waste or use it in bioprocesses to formvalue-added compounds will shape the fate of our society on a globalscale

Acknowledgements

PD is the holder of the Marie Sklodowska-Curie grant No 704410(FUTURE) The work in Authors Laboratory was funded by theCAMBIOS Project of the Spanish Ministry of Economy andCompetitiveness RTC-2014-1777-3 (MINECO) HELIOS Project of theSpanish Ministry of Economy and Competitiveness BIO 2015-66960-C3-2-R (MINECOFEDER) and the ARISYS (ERC-2012-ADG-322797)EmPowerPutida (EU-H2020-BIOTEC-2014-2015-6335536) andRaft4Biotech (720776) contracts of the European Union JD is sup-ported also by the Czech Ministry of Education (LQ1605 LO1214LM2015055) and Czech Grant Agency (GA16-06096S) The financialsupport of The Novo Nordisk Foundation to PIN is also gratefully ac-knowledged

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King ZA Lloyd CJ Feist AM Palsson BO 2015 Next-generation genome-scalemodels for metabolic engineering Curr Opin Biotechnol 35 23ndash29 httpdxdoiorg101016jcopbio201412016

Kleinstiver BP Pattanayak V Prew MS Tsai SQ Nguyen NT Zheng Z JoungJK 2016 High-fidelity CRISPR-Cas9 nucleases with no detectable genome-wide off-target effects Nature 529 490ndash495 httpdxdoiorg101038nature16526

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Koutinas AA Vlysidis A Pleissner D Kopsahelis N Lopez Garcia I Kookos IKPapanikolaou S Kwan TH Lin CSK 2014 Valorization of industrial waste andby-product streams via fermentation for the production of chemicals and biopoly-mers Chem Soc Rev 43 2587ndash2627 httpdxdoiorg101039c3cs60293a

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Kube M Chernikova TN Al-Ramahi Y Beloqui A Lopez-Cortez N Guazzaroni M-E Heipieper HJ Klages S Kotsyurbenko OR Langer I Nechitaylo TYLuumlnsdorf H Fernaacutendez M Juaacuterez S Ciordia S Singer A Kagan O Egorova OPetit PA Stogios P Kim Y Tchigvintsev A Flick R Denaro R Genovese MAlbar JP Reva ON Martiacutenez-Gomariz M Tran H Ferrer M Savchenko AYakunin AF Yakimov MM Golyshina OV Reinhardt R Golyshin PN 2013Genome sequence and functional genomic analysis of the oil-degrading bacteriumOleispira antarctica Nat Commun 4 2156 httpdxdoiorg101038ncomms3156

Kuipers RK Joosten H-J van Berkel WJH Leferink NGH Rooijen E IttmannE van Zimmeren F Jochens H Bornscheuer U Vriend G dos Santos VAPMSchaap PJ 2010 3DM systematic analysis of heterogeneous superfamily data todiscover protein functionalities Proteins 78 2101ndash2113 httpdxdoiorg101002prot22725

Kurumbang NP Dvorak P Bendl J Brezovsky J Prokop Z Damborsky J 2014Computer-assisted engineering of the synthetic pathway for biodegradation of a toxicpersistent pollutant ACS Synth Biol 3 172ndash181 httpdxdoiorg101021sb400147n

Latino DARS Wicker J Guumltlein M Schmid E Kramer S Fenner K 2017 Eawag-Soil in enviPath a new resource for exploring regulatory pesticide soil biodegrada-tion pathways and half-life data Environ Sci Processes Impacts 19 449ndash464httpdxdoiorg101039c6em00697c

Lee J Cao L Ow SY Barrios-Llerena ME Chen W Wood TK Wright PC 2006Proteome changes after metabolic engineering to enhance aerobic mineralization ofcis‑12-dichloroethylene J Proteome Res 5 1388ndash1397 httpdxdoiorg101021pr060008t

Lee JW Na D Park JM Lee J Choi S Lee SY 2012 Systems metabolic en-gineering of microorganisms for natural and non-natural chemicals Nat Chem Biol8 536ndash546 httpdxdoiorg101038nchembio970

Lehrbach PR Zeyer J Reineke W Knackmuss HJ Timmis KN 1984 Enzymerecruitment in vitro use of cloned genes to extend the range of haloaromatics de-graded by Pseudomonas sp strain B13 J Bacteriol 158 1025ndash1032

Li G-Q Ma T Li S-S Li H Liang F-L Liu R-L 2007 Improvement of di-benzothiophene desulfurization activity by removing the gene overlap in the dsz

P Dvořaacutek et al Biotechnology Advances 35 (2017) 845ndash866

863

operon Biosci Biotechnol Biochem 71 849ndash854 httpdxdoiorg101271bbb60189

Li Z Yoshida N Wang A Nan J Liang B Zhang C Zhang D Suzuki D Zhou XXiao Z Katayama A 2015 Anaerobic mineralization of 246-tribromophenol toCO2 by a synthetic microbial community comprising Clostridium Dehalobacter andDesulfatiglans Bioresour Technol 176 225ndash232 httpdxdoiorg101016jbiortech201410097

Libis V Deleacutepine B Faulon J-L 2016 Expanding biosensing abilities through com-puter-aided design of metabolic pathways ACS Synth Biol 5 1076ndash1085 httpdxdoiorg101021acssynbio5b00225

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Liu J Tan L Wang J Wang Z Ni H Li L 2016 Complete biodegradation ofchlorpyrifos by engineered Pseudomonas putida cells expressing surface-immobilizedlaccases Chemosphere 157 200ndash207 httpdxdoiorg101016jchemosphere201605031

Loeschcke A Markert A Wilhelm S Wirtz A Rosenau F Jaeger K-E Drepper T2013 TREX a universal tool for the transfer and expression of biosynthetic pathwaysin bacteria ACS Synth Biol 2 22ndash33 httpdxdoiorg101021sb3000657

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Lykidis A Peacuterez-Pantoja D Ledger T Mavromatis K Anderson IJ Ivanova NNHooper SD Lapidus A Lucas S Gonzaacutelez B Kyrpides NC 2010 The completemultipartite genome sequence of Cupriavidus necator JMP134 a versatile pollutantdegrader PLoS One 5 e9729 httpdxdoiorg101371journalpone0009729

Marathe NP Pal C Gaikwad SS Jonsson V Kristiansson E Larsson DGJ 2017Untreated urban waste contaminates Indian river sediments with resistance genes tolast resort antibiotics Water Res 124 388ndash397 httpdxdoiorg101016jwatres201707060

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Martiacutenez-Garciacutea E de Lorenzo V 2012 Transposon-based and plasmid-based genetictools for editing genomes of gram-negative bacteria Methods Mol Biol 813267ndash283 (Clifton NJ) httpdxdoiorg101007978-1-61779-412-4_16

Martiacutenez-Garciacutea E de Lorenzo V 2016 The quest for the minimal bacterial genomeCurr Opin Biotechnol 42 216ndash224 httpdxdoiorg101016jcopbio201609001

Martiacutenez-Garciacutea E Aparicio T de Lorenzo V Nikel PI 2014a New transposon toolstailored for metabolic engineering of gram-negative microbial cell factories FrontBioeng Biotechnol 2 46 httpdxdoiorg103389fbioe201400046

Martiacutenez-Garciacutea E Nikel PI Aparicio T de Lorenzo V 2014b Pseudomonas 20genetic upgrading of P putida KT2440 as an enhanced host for heterologous geneexpression Microb Cell Factories 13 159 httpdxdoiorg101186s12934-014-0159-3

Martiacutenez-Garciacutea E Aparicio T Gontildei-Moreno A Fraile S de Lorenzo V 2015 SEVA20 an update of the Standard European Vector Architecture for de-re-constructionof bacterial functionalities Nucleic Acids Res 43 D1183ndash1189 httpdxdoiorg101093nargku1114

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Medema MH van Raaphorst R Takano E Breitling R 2012 Computational tools forthe synthetic design of biochemical pathways Nat Rev Microbiol 10 191ndash202httpdxdoiorg101038nrmicro2717

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Minty JJ Singer ME Scholz SA Bae C-H Ahn J-H Foster CE Liao JC LinXN 2013 Design and characterization of synthetic fungal-bacterial consortia fordirect production of isobutanol from cellulosic biomass Proc Natl Acad Sci U S A110 14592ndash14597 httpdxdoiorg101073pnas1218447110

Moraiumls S Shterzer N Lamed R Bayer EA Mizrahi I 2014 A combined cell-con-sortium approach for lignocellulose degradation by specialized Lactobacillus plan-tarum cells Biotechnol Biofuels 7 112 httpdxdoiorg1011861754-6834-7-112

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Belda E Hyka-Nouspikel N Coudert E Redaschi N Bougueleret L SteinbeckC Xenarios I Bridge A 2015 Updates in Rheamdasha manually curated resource ofbiochemical reactions Nucleic Acids Res 43 D459ndash464 httpdxdoiorg101093nargku961

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Muschiol J Peters C Oberleitner N Mihovilovic MD Bornscheuer UT Rudroff F2015 Cascade catalysismdashstrategies and challenges en route to preparative syntheticbiology Chem Commun (Camb) 51 5798ndash5811 httpdxdoiorg101039c4cc08752f

Mutlu BR Yeom S Wackett L Aksan A 2015 Modelling and optimization of abioremediation system utilizing silica gel encapsulated whole-cell biocatalyst ChemEng J 259 574ndash580 httpdxdoiorg101016jcej201407130

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Nielsen AAK Der BS Shin J Vaidyanathan P Paralanov V Strychalski EARoss D Densmore D Voigt CA 2016 Genetic circuit design automation Science352 aac7341 httpdxdoiorg101126scienceaac7341

Nikel PI de Lorenzo V 2013 Engineering an anaerobic metabolic regime inPseudomonas putida KT2440 for the anoxic biodegradation of 13-dichloroprop-1-eneMetab Eng 15 98ndash112 httpdxdoiorg101016jymben201209006

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Nikel PI Martiacutenez-Garciacutea E de Lorenzo V 2014 Biotechnological domestication ofpseudomonads using synthetic biology Nat Rev Microbiol 12 368ndash379 httpdxdoiorg101038nrmicro3253

Nikel PI Chavarriacutea M Fuhrer T Sauer U de Lorenzo V 2015 Pseudomonas putidaKT2440 strain metabolizes glucose through a cycle formed by enzymes of the Entner-Doudoroff Embden-Meyerhof-Parnas and pentose phosphate pathways J BiolChem 290 25920ndash25932 httpdxdoiorg101074jbcM115687749

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Nikel PI Peacuterez-Pantoja D de Lorenzo V 2016b Pyridine nucleotide transhy-drogenases enable redox balance of Pseudomonas putida during biodegradation ofaromatic compounds Environ Microbiol 18 3565ndash3582 httpdxdoiorg1011111462-292013434

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Oide S Gunji W Moteki Y Yamamoto S Suda M Jojima T Yukawa H Inui M2015 Thermal and solvent stress cross-tolerance conferred to Corynebacterium glu-tamicum by adaptive laboratory evolution Appl Environ Microbiol 81 2284ndash2298httpdxdoiorg101128AEM03973-14

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Paddon CJ Keasling JD 2014 Semi-synthetic artemisinin a model for the use ofsynthetic biology in pharmaceutical development Nat Rev Microbiol 12 355ndash367httpdxdoiorg101038nrmicro3240

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Pascual J Udaondo Z Molina L Segura A Esteve-Nuacutentildeez A Caballero A DuqueE Ramos JL van Dillewijn P 2015 Draft genome sequence of Pseudomonas putidaJLR11 a facultative anaerobic 246-trinitrotoluene biotransforming bacteriumGenome Announc 3 httpdxdoiorg101128genomeA00904-15

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Ravikumar S Baylon MG Park SJ Choi J-I 2017 Engineered microbial biosensorsbased on bacterial two-component systems as synthetic biotechnology platforms inbioremediation and biorefinery Microb Cell Factories 16 62 httpdxdoiorg101186s12934-017-0675-z

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Santos CNS Yoshikuni Y 2014 Engineering complex biological systems in bacteriathrough recombinase-assisted genome engineering Nat Protoc 9 1320ndash1336

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Si T Xiao H Zhao H 2015 Rapid prototyping of microbial cell factories via genome-scale engineering Biotechnol Adv 33 1420ndash1432 httpdxdoiorg101016jbiotechadv201411007

Silva-Rocha R de Lorenzo V 2014 Engineering multicellular logic in bacteria withmetabolic wires ACS Synth Biol 3 204ndash209 httpdxdoiorg101021sb400064y

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UniProt Consortium 2015 UniProt a hub for protein information Nucleic Acids Res 43D204ndash212 httpdxdoiorg101093nargku989

Vallenet D Calteau A Cruveiller S Gachet M Lajus A Josso A Mercier JRenaux A Rollin J Rouy Z Roche D Scarpelli C Meacutedigue C 2016MicroScope in 2017 an expanding and evolving integrated resource for communityexpertise of microbial genomes Nucleic Acids Res httpdxdoiorg101093nargkw1101

van Leeuwen JGE Wijma HJ Floor RJ van der Laan J-M Janssen DB 2012

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Directed evolution strategies for enantiocomplementary haloalkane dehalogenasesfrom chemical waste to enantiopure building blocks Chembiochem Eur J ChemBiol 13 137ndash148 httpdxdoiorg101002cbic201100579

Vilchez-Vargas R Junca H Pieper DH 2010 Metabolic networks microbial ecologyand ldquoomicsrdquo technologies towards understanding in situ biodegradation processesEnviron Microbiol 12 3089ndash3104 httpdxdoiorg101111j1462-2920201002340x

Wang HH Isaacs FJ Carr PA Sun ZZ Xu G Forest CR Church GM 2009Programming cells by multiplex genome engineering and accelerated evolutionNature 460 894ndash898 httpdxdoiorg101038nature08187

Wang B Kitney RI Joly N Buck M 2011 Engineering modular and orthogonalgenetic logic gates for robust digital-like synthetic biology Nat Commun 2 508httpdxdoiorg101038ncomms1516

Wang K Schmied WH Chin JW 2012 Reprogramming the genetic code from tri-plet to quadruplet codes Angew Chem Int Ed Eng 51 2288ndash2297 httpdxdoiorg101002anie201105016

Wang B Barahona M Buck M 2013 A modular cell-based biosensor using engineeredgenetic logic circuits to detect and integrate multiple environmental signals BiosensBioelectron 40 368ndash376 httpdxdoiorg101016jbios201208011

Wang L Xue C Wang L Zhao Q Wei W Sun Y 2016 Strain improvement ofChlorella sp for phenol biodegradation by adaptive laboratory evolution BioresourTechnol 205 264ndash268 httpdxdoiorg101016jbiortech201601022

Wei R Oeser T Schmidt J Meier R Barth M Then J Zimmermann W 2016Engineered bacterial polyester hydrolases efficiently degrade polyethylene ter-ephthalate due to relieved product inhibition Biotechnol Bioeng 113 1658ndash1665httpdxdoiorg101002bit25941

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Wicker J Lorsbach T Guumltlein M Schmid E Latino D Kramer S Fenner K 2016enviPathmdashthe environmental contaminant biotransformation pathway resourceNucleic Acids Res 44 D502ndash508 httpdxdoiorg101093nargkv1229

Wierckx N Prieto MA Pomposiello P de Lorenzo V OConnor K Blank LM2015 Plastic waste as a novel substrate for industrial biotechnology MicrobBiotechnol 8 900ndash903 httpdxdoiorg1011111751-791512312

Wigginton N Yeston J Malakoff D 2012 Working with waste More treasure thantrash Introduction Science 337 662ndash663 httpdxdoiorg101126science3376095662

Winsor GL Griffiths EJ Lo R Dhillon BK Shay JA Brinkman FSL 2016Enhanced annotations and features for comparing thousands of Pseudomonas gen-omes in the Pseudomonas genome database Nucleic Acids Res 44 D646ndash653httpdxdoiorg101093nargkv1227

Wittich R-M Wolff P 2007 Growth of the genetically engineered strain Cupriavidusnecator RW112 with chlorobenzoates and technical chlorobiphenyls Microbiology153 186ndash195 httpdxdoiorg101099mic029096-0

Wittich R-M van Dillewijn P Ramos JL 2010 Rational construction of bacterialstrains with newimproved catabolic capabilities for the efficient breakdown of en-vironmental pollutants In Timmis KN (Ed) Handbook of Hydrocarbon and LipidMicrobiology Springer Berlin Heidelberg pp 1247ndash1254

Wolfaardt GM Lawrence JR Robarts RD Caldwell SJ Caldwell DE 1994Multicellular organization in a degradative biofilm community Appl EnvironMicrobiol 60 434ndash446

Wu G Yan Q Jones JA Tang YJ Fong SS Koffas MAG 2016 Metabolicburden cornerstones in synthetic biology and metabolic engineering applicationsTrends Biotechnol 34 652ndash664 httpdxdoiorg101016jtibtech201602010

Xu P Vansiri A Bhan N Koffas MAG 2012 ePathBrick a synthetic biology plat-form for engineering metabolic pathways in E coli ACS Synth Biol 1 256ndash266httpdxdoiorg101021sb300016b

Yadid I Rudolph J Hlouchova K Copley SD 2013 Sequestration of a highly re-active intermediate in an evolving pathway for degradation of pentachlorophenolProc Natl Acad Sci U S A 110 E2182ndash2190 httpdxdoiorg101073pnas1214052110

Yang J Liu R Jiang H Yang Y Qiao C 2012 Selection of a whole-cell biocatalystfor methyl parathion biodegradation Appl Microbiol Biotechnol 95 1625ndash1632httpdxdoiorg101007s00253-011-3792-3

Yang Y Yang J Jiang L 2016 Comment on A bacterium that degrades and assim-ilates poly(ethylene terephthalate) Science 353 759 httpdxdoiorg101126scienceaaf8305

Yoshida S Hiraga K Takehana T Taniguchi I Yamaji H Maeda Y Toyohara KMiyamoto K Kimura Y Oda K 2016a A bacterium that degrades and assimilatespoly(ethylene terephthalate) Science 351 1196ndash1199 httpdxdoiorg101126scienceaad6359

Yoshida S Hiraga K Takehana T Taniguchi I Yamaji H Maeda Y Toyohara KMiyamoto K Kimura Y Oda K 2016b Response to comment on A bacterium thatdegrades and assimilates poly(ethylene terephthalate) Science 353 759 httpdxdoiorg101126scienceaaf8625

Zobel S Benedetti I Eisenbach L de Lorenzo V Wierckx N Blank LM 2015 Tn7-based device for calibrated heterologous gene expression in Pseudomonas putida ACSSynth Biol 4 1341ndash1351 httpdxdoiorg101021acssynbio5b00058

Web references

httptoxicsusgsgov accessed 2152017

httpwwweugrisinfo accessed 2152017

httpeawag-bbdethzch accessed 2972017

httpsenvipathorg accessed 2972017

httpsmetacycorg accessed 2972017

httpsbiocycorg accessed 2972017

wwwuniprotorg accessed 2252017

httprapidumnedurapid accessed 2252017

httplcsb-databasesepflchatlas accessed 2252017

httpsensipathmicalisfr accessed 2672017

httpsntpniehsnihgovresultstox21 accessed 26717

httpsabsynthissbgenopolefrBioinformatics accessed 2252017

httpspubchemncbinlmnihgov accessed 2972017

httpwwwchemspidercom accessed 2972017

httpwwwpseudomonascom accessed 2972017

httpswwwncbinlmnihgovgenome accessed 2252017

wwwgenoscopecnsfragcmicroscopehome accessed 2252017

httpsevacnbcsices accessed 2252017

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  • Bioremediation 30 Engineering pollutant-removing bacteria in the times of systemic biology
    • Introduction
    • Approaches and tools of systems biology and metabolic engineering for tailoring biodegradation pathways
      • Step 1 get to know the contaminant and find a suitable catabolic pathway
        • Databases
        • Pathway prediction systems and toxicity prediction algorithms
        • Detection and quantification of pathway building blocks
          • Step 2 select and get to know a suitable microbial host
            • Omics techniques in studies of bacterial degraders
              • Step 3 build the pathway and optimize its performance in the context of host metabolism
                • Computational tools for pathway and strain optimization
                • Experimental tools for pathway and strain optimization
                • Protein engineering to eliminate bottlenecks of biodegradation pathways
                    • Synthetic biology approaches and tools for biodegradation pathway engineering
                      • Development of robust microbial chassis for biodegradation of toxic chemicals
                      • Development of synthetic microbial consortia for enhanced biodegradation and bioremediation of pollutants
                      • Development of orthogonal systems in bacteria to enhance pollutant biodegradation and bioremediation
                      • Engineering microbial biodegradation pathways in vitro
                        • Towards planet-wide bioremediation interventions CO2 capture as a large-scale challenge
                        • Conclusions and perspectives
                        • Acknowledgements
                        • References
                        • Web references
Page 13: Bioremediation 3.0 Engineering pollutant-removing bacteria ... · biology, metabolic engineering, and synthetic biology, for the sake of understanding and reprograming biological

cellulases for efficient depolymerization of cellulose and hemicellulose(S Kim et al 2013 Moraiumls et al 2014) The vast majority of the workthat exploits surface display systems for whole-cell removal of en-vironmental contaminants has been restricted to individual proteinssuch as laccases methyl parathion hydrolase or triphenylmethane re-ductase (Gao et al 2014 Liu et al 2016 Yang et al 2012) It istempting to expand available surface display technologies with cellu-losome parts for the design of synthetic consortia that would catalysemore complex biodegradation reactions including polymeric substratesor toxic metabolites outside the cells

Despite their true biotechnological potential microbial consortiaremain too complex for directed long-term application either for bio-synthesis or for biodegradation It is still difficult to engineer home-ostasis and evolutionary stability in an artificial multi-cellular systemwhose behaviour becomes unpredictable with time (Escalante et al2015) Attempts to adopt principles of intercellular communication forsynthetic consortia are just at their beginnings (Hennig et al 2015Scott and Hasty 2016) Intensive co-operation of genetic engineers andevolutionary biologists with microbial ecologists and chemists willobviously be needed to derive a deeper understanding of the processesthat rule the formation and survival of natural microbial consortiaLessons learnt from nature can be implemented and combined withcompletely anthropogenic orthogonal genetic devices for more reliabledesign of stable multicellular systems

33 Development of orthogonal systems in bacteria to enhance pollutantbiodegradation and bioremediation

Orthogonal or in other words parallel independent systems1 is a key

concept in synthetic biology as long as such quality makes live systemsmore amenable to bona fide engineering Orthogonalization involveseg use of unnatural genetic codes (for example quadruplet rather thantriplet) alternative transcription-translation machineries toggleswitches and genetic circuits for assembly of novel metabolic andsignalling pathways from proteins containing non-natural amino acids(An and Chin 2009 Wang et al 2012) Such metabolic pathways couldhave new functions and would synthesize or catabolize a fresh spectrumof compounds Ideally orthogonal pathwaysmodules interact mini-mally with their natural counterparts in the host cell This improvespredictability of the component behaviour and prevents inhibitorycross-talk following introduction of the pathway or circuit into an ex-isting metabolic network (Kim and Copley 2012 Kurumbang et al2014) In an orthogonal module the input and output molecules ofgenetic circuitsmdashor enzymes and metabolites of synthetic biochemicalroutesmdashare not degraded or inactivated by side-reactions or physico-chemical conditions of the host cell While complete orthogonality isvirtually impossible in biological systems a practicable level of context-independence is indeed feasible Some examples of claimed orthogonalsystems include simple synthetic genetic circuits switches or designedmetabolic pathways These have the potential to improve function ofindividual engineered bacteria or synthetic consortia as whole-cellbiosensors and degraders of recalcitrant chemicals

Sensitivity robustness and applicability of microbial biosensors fordetecting heavy metals or halogenated hydrocarbons can be greatlyimproved by implementing orthogonal genetic devices (Bereza-Malcolm et al 2015) Thus far simple microbial biosensor designsbased on one input and two-part regulatory systems with promoter andreporter providing a coloured fluorescent bioluminescent or electricsignal prevail in the literature (Ravikumar et al 2017) Reports onmore complex multi-input systems based on Boolean logic gates are stillrare but give us a clue to future developments in the field As firstoutlined by the work of Wang et al (2016) orthogonally acting multi-

Fig 6 Examples of synthetic biology approaches applied toengineering biodegradation pathways and whole-cell de-graders (a) Martiacutenez and co-workers divided the 4Spathway for sulphur removal from aromatic heterocyclesinto two modules (dszC1-D1 and dszB1A1-D1) that wereexpressed individually in two P putida KT2440 strains toform a synthetic consortium (Martiacutenez et al 2016) Com-bining the strains at a 14 ratio and mixing them with cell-free extract from the third strain producing DszB resulted inalmost complete conversion of dibenzothiophene into sul-phur-free 2-hydroxybiphenyl in assay conditions (b) Wanget al constructed a synthetic bacterial consortium in whicheach of the two E coli strains functioned as a double inputsensor with synthetic AND gates for detecting arsenicmercury and copper ions and quorum sensing molecules(3OC6HSL Wang et al 2013) Strain 2 generated redfluorescence only in the presence of all three metal ions inculture (c) Benedetti and colleagues achieved directedtransition between planktonic and biofilm lifestyles of Pputida KT2440 by controlling cyclic di-GMP levels with anorthogonal genetic device composed of the yedQ diguany-late cyclase gene from E coli under the control of the cy-clohexanone-responsive ChnRPchnB regulatory node fromAcinetobacter johnsonii (Benedetti et al 2016) Designedcells with a synthetic operon for 1-chlorobutane biode-gradation formed inducible biofilms with higher dehalo-genase activity than free planktonic bacteria (d) Dvorakand co-workers assembled the first in vitro synthetic biode-gradation pathway for 123-trichloropropane (TCP) bycombining engineered haloalkane dehalogenase DhaA31halohydrin dehalogenase HheC and epoxide hydrolaseEchA immobilized in cross-linked enzyme aggregates(CLEAS) and polyvinyl alcohol particles (LentiKats) (Dvoraket al 2014a) The immobilized pathway converted highconcentrations of toxic TCP into glycerol in contaminatedwater for more than two months of continuous operation in

a bench-top packed bed reactor (For interpretation of the references to colour in this figure legend the reader is referred to the web version of this article)

1 The mathematical and geometrical concept of orthogonality has been adopted first bycomputing science and then by synthetic biology to signify operative independenceSystem A is orthogonal to system B if A does not influence Bmdashand vice versa

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inputmulti-output logic gates will be especially valuable for detectingmixtures of polluting chemicals (organic inorganic or both) by pro-viding a specific signal for each of the constituents (He et al 2016Wang et al 2011) Developing such biosensors is of practical im-portance as polluted environments are usually burdened with nu-merous contaminants that have diverse physicochemical propertiesThe authors engineered a set of two-input E coli-based biosensors withsynthetic AND gates using signalling sensory modules from native two-component signal transduction pathways as well as hrpR and hrpSgenes along with their HrpL promoter element from P syringae Usingthese sensors they detected arsenic mercury copper and zinc ions aswell as quorum sensing molecules in aqueous environment (Wang et al2011) The most advanced design resulted in a triple-input AND logic-gated biosensor that formed a synthetic bacterial consortium in whicheach of the two members acted as a double input sensor (Fig 6B) In thepresence of arsenic and mercury the first strain formed a quorumsensing molecule (3OC6HSL) that diffused freely into the medium andwas sensed together with Cu2+ by the second strain which provided ared fluorescent signal (Wang et al 2013) The fluorescent response wasseen only when all three metal ions were present in the culture

Reliable orthogonal devices will be crucial for engineering artificialcell-cell communication for instance taking advantage of bacterialquorum sensing systems (Hennig et al 2015 Scott and Hasty 2016)Programming the dynamics of subpopulations of synthetic consortiathat perform complex tasks will be only possible with parallel geneticcircuits and signalling molecules unknown to the host cells (Chen et al2015) As stressed by Silva-Rocha and de Lorenzo (2014) catabolicpathways for recalcitrant and xenobiotic compounds could be a reliablesource of wiring devices and molecules These pathways are frequentlyfound in specific types of organisms and metabolic crosstalk can thusbe avoided by implementing components of such networks in suitablehosts For instance aromatic molecules such as benzoate or phenol canbe used as signal inducers that are recognized by regulatory proteinsthat trigeger expression of target genes The recent determination of thecrystal structure of the sensory domain in the phenol-responsive tran-scription activator PoxR ilustrates how aromatics are sensed in bacteria(Patil et al 2016) This study paves the way for wider application ofrationally engineered transcription regulators responsive to aromaticsin the design of synthetic genetic circuits

The dynamic behaviour of the whole biodegradation pathway canalso be better studied when the route is transferred into a distant hostchassis where it acts orthogonally The orthogonal nature of the syn-thetic pathway for TCP biodegradation in the surrogate host E coliBL21 (DE3) described in Section 231 allowed a very good matchbetween in silico predicted and in vivo metabolite concentrations andprecise description of the bottlenecks (Kurumbang et al 2014) as wellas deciphering the contribution of metabolic burden and substratemetabolite toxicity to the fitness cost of TCP biotransformation bywhole-cell catalysts (Dvorak et al 2015) Despite their benefits for suchmechanistic and proof-of-concept studies laboratory E coli strainsmight not be optimally suited for the harsh conditions that accompanybiodegradation and bioremediation processes (Adams 2016 Nicolaouet al 2010) Development of reliable chassis amenable to implantationof orthogonal genetic devices is therefore desirable These new cellplatforms should be based on robust environmental strains of Pseudo-monas Rhodococcus Deinococcus and other microorganisms with broadmetabolic versatility and natural resistance to organic solvents or heavymetals (Adams 2016)

One can also take advantage of other specific properties of en-vironmental bacteria including formation of a robust biofilm As shownrecently by Benedetti and colleagues the actual physical forms ofwhole-cell biocatalysts can be mastered using orthogonal genetic parts(Fig 6C) through the so-called synthetic morphology approach (Benedettiet al 2016) Pseudomonads generate biofilms with biophysical prop-erties that depend on the species Cyclic di-GMP (c-di-GMP) is the keysignal molecule that rules the complex regulatory network mediating

the transition between planktonic cells and biofilm formation Thisfeature was exploited to design an orthogonal genetic device for ma-nipulating the native c-di-GMP biochemistry in P putida thereby con-trolling biofilm formation (Benedetti et al 2016) The E coli yedQ gene(encoding diguanylate cyclase the enzyme that synthesizes c-di-GMPfrom GTP) was placed under control of a tightly regulated cyclohex-anone-responsive expression system A synthetic operon encoding theenzymes needed for 1-chlorobutane biodegradation was also in-troduced in the engineered biofilm-forming P putida strain Upon ac-tivation of the corresponding genetic modules with appropriate in-ducers the resulting P putida biocatalyst displayed high dehalogenaseactivity in robust biofilms

The modern approaches of biological engineering accelerate thedevelopment of whole-cell biocatalysts for in situ bioremediation orbiosensing of emerging environmental pollutants Field applications ofgenetically modified microorganisms are nonetheless restricted bycurrent legislation and hindered by the unreliable behaviour of re-combinant microbes in complex fluctuating environments Syntheticbiology can help to tackle the major problems through the means de-scribed at the beginning of this chapter ie non-canonical geneticcodes and xenobiochemistry which can prevent diffusion of undesiredsequences into the environmental gene pool differentiate recombinantsfrom their natural counterparts and improve robustness and reliabilityof prepared genetic devices whole-cell degraders and biosensors Theexamples of such endeavours were recently reviewed extensively(Schmidt 2010 Schmidt and de Lorenzo 2016) These systems couldbe combined with bioluminiscence fluorescence or DNA watermarkingtechnologies to track the environmental fate of designer degraders orwith inducible suicide systems for discarding degraders once theirmission is completed (Liss et al 2012 Liu et al 2010 Paul et al2005) Yet the path to applied xenobiology is still crooked and manyethical questions remain Another concept from the portfolio of syn-thetic biology that will be discussed in the following section has thepotential to fill the time gap until we obtain reliable whole-cell catalystsand alternative solutions also acceptable for GMO critics will be pro-vided

34 Engineering microbial biodegradation pathways in vitro

The major principle of cell-free synthetic biology is that purifiedbiomolecules or components in crude cell extracts replace intact cellsfor constructing complex biomolecular systems (Hodgman and Jewett2012) To date metabolic networks that encompassgt 10 enzymeshave been reconstructed in vitro (Rollin et al 2015 Schwander et al2016) Cell-free metabolic pathways allow easy verification of bioca-talyst function determination of kinetic parameters as well as eva-luation of the network by kinetic modelling (Santacoloma et al 2011)Note however that assemby of degradative pathways in cell-free sys-tems (whether with purified enzymes or cell extracts) is not only toprototype and parametrize new routes but also for direct use in thefield (Karig 2017) Despite the drawbacks that cell-free systems cannotself-propagate that certain biomolecules can be sensitive to oxidizingenvironments and that their encapsulation and large-scale productionmight be costly these systems offer an appealing means to circumventproblems associated to GMO release to the environment Apart fromincreasing safety they offer other clear benefits For instance in vitrosystems can operate in the presence of toxins that would inhibit or killlive cells and metabolites regulators and enzymes can be produced inoptimized concentrations without interfering with cell componentsMost important for release and predictability the evolutionary oppor-tunities of such non-live agents are zero making the emergence ofunexpected properties virtually impossible

In vitro metabolic networks can suffer from suboptimal efficiencydue to the lower enzyme concentration compared to the extremelydense cell cytoplasm (Hodgman and Jewett 2012) This issue can bemitigated by enzyme immobilization and improved spatial organization

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858

via synthetic protein or DNA scaffolds that reduce diffusion of pathwayintermediates and promote substrate channeling (Siu et al 2015) Al-ternatively biocatalysts can be precipitated and covalently inter-connected in cross-linked enzyme aggregate particles (Sheldon 2011)this method was applied successfully to synthesize toxic nucleotideanalogues by an immobilized five-enzyme synthetic pathway (Scismand Bachmann 2010) The biochemical route described was completedwith functional ATP regeneration which demonstrates that in vitrotechnologies can cope with another possible drawback ndash limited co-factor recycling

Thus far mainly single immobilized enzymes or whole-cell bioca-talysts have been exploited in biotechnological processes intended toremove polluting chemicals such as polyethylene terephthalate 24-dinitrophenol atrazine or inorganic nitrates (Barth et al 2016Dehghanifard et al 2013 Mutlu et al 2015 Troumlgl et al 2012) In vitroassays with cell-free extracts or purified enzymes respectively helpedto identify an unknown anaerobic pathway for complete phthalatedegradation to CO2 in Thauera chlorobenzoica 3CB-1 or to decipher se-questration of the highly toxic intermediate tetrachlorobenzoquinone inpentachlorophenol degradation pathway in Sphingobium chlor-ophenolicum (Ebenau-Jehle et al 2017 Yadid et al 2013) Geuekeet al showed the benefits of an in vitro engineering approach in themodel of γ-HCH biodegradation pathway (Geueke et al 2013) Theyused a system of two purified enzymes the dehydrochlorinase LinA andthe haloalkane dehalogenase LinB which initiate biotransformation ofγ-HCH a prohibited insecticide They separately incubated five isomersthat form technical HCH (which used to be applied frequently instead ofpure γ-HCH) with various LinALinB ratios and determined metabolicprofiles of sequential biotransformations Analyses of these profileshelped determine the environmental fate of HCH isomers and showedthat the original HCH degradation pathway is optimized by evolutionfor γ-HCH but not for other isomers that co-pollute contaminated sites

The first report of in vitro assembly of a fully functional syntheticbiodegradation pathway was published by Dvorak and co-workers(Dvorak et al 2014a) The authors adopted the cell-free strategy usingimmobilized engineered haloalkane dehalogenase DhaA31 halohydrindehalogenase HheC and epoxide hydrolase EchA for TCP bio-transformation to harmless valuable glycerol in contaminated water(Fig 6D) The practical utility of bacterial recombinants that mineralizeTCP (desccribed in Sections 231 and 232) is limited by substratetoxicity and by legislative barriers on the application of GMO(Kurumbang et al 2014 Samin et al 2014) Probing the function ofthe pathway in in vitro conditions therefore lied ready to hand Theauthors successfully immobilized the pathway in the form of purifiedenzymes or cell-free extracts in cross-linked enzyme aggregates andlens-shaped polyvinyl alcohol particles The immobilized pathwayshowed almost the same efficiency of TCP-to-glycerol conversion asmixture of free enzymes Physicochemical properties of polyvinyl al-cohol lentils allowed recovery from the reaction mixture and recyclingof the pathway In addition the immobilized enzymes retainedgt 50of their initial activities for over 2 months of continuous operation in abench-top packed bed reactor The study indicated that the im-mobilized route removes TCP from heavily contaminated water with apollutant concentration (~1 gL) that would be detrimental to theliving degraders One can anticipate that such conversions of toxic TCPto useful glycerol could even pave the way for prospective valorizationof this waste chemical

Although this biotechnology requires further validation and tuningthe work showed that in vitro assembly of natural or synthetic enzy-matic pathways with engineered enzymes is a promising concept for thebiodegradation of polluting compounds and toxic industrial wasteproducts Transport of such pathways via non-live carriers is relatedconceptually to efforts to produce and release complex therapeuticagents for human use In both cases their application demands thedevelopment of a sort of environmental Galenic science that enablessupply of the engineered biological remedy when and where needed

4 Towards planet-wide bioremediation interventions CO2

capture as a large-scale challenge

Environmental deterioration due to emissions of recalcitrant che-micals seems to pale when compared to the problem of global warmingcaused by the release of greenhouse gases that originate in human ac-tivities The bulk of these gases comprise four natural molecules carbondioxide (CO2) methane (CH4) nitrous oxide (N2O) and ozone (O3) aswell as one class of xenobiotics the chlorofluorocarbons or CFC Giventhe diluted aereal and global nature of this problem the strategiescontemplated for tackling these chemical species differ considerablyfrom those that centre on site-specific pollution issues Most proposalsthus far focus much more on reducing emissions than on capture andreturning to innocuous chemical or mineral forms All these compoundshave their own natural biogeochemical cycle and in theory simplyreducing their input into the biosphere should restore the originalequilibrium (Rockstroumlm et al 2017) Recent ecological thought none-theless postulates that the impact of climate change in many ecosystemsis already irreversible by natural means and call for large-scale inter-ventions that could help to resolve this impasse (de Lorenzo et al2016) In this case what types of options could be considered from asystemic biology perspective

Some incipient attempts have appeared recently mostly in the fieldof engineering bacteria with a greater capacity for non-photosyntheticfixing of CO2 (Erb and Zarzycki 2016) One option is to use the sixalternative pathways of autotrophic carbon fixation known in nature(Fuchs 2011 Hicks et al 2017) as a starting point to optimize suchnatural processes Another possibilty is the invention of new routes byrewiring or modifying existing enzymes in a new configuration A re-markable example of this solution is the work of Antonovsky et al(2016) who showed that combining metabolic rewiring recombinantprotein expression and laboratory evolution enables the production ofsugars and other biomass constituents by a fully functional Calvin-Benson-Bassham (CBB) cycle in E coli In the bacteria designed in thisway carbon is fixed via a refactored CBB cycle whereas reducingpower and energy are derived from pyruvate oxidation (Fig 7) It isinteresting to note how evolutionary approaches adjust fluxes andgenerate connections between the designed CBB cycle and the hostbiochemical network that cannot be predicted or designed

A separate approach was recently developed by Schwander et al(2016) who developed a synthetic route for continuous CO2 fixation invitro by composing a cycle formed of 17 enzymes that convert CO2 intoorganic molecules The cycle was draughted by metabolic retro-synthesis with enzymes from nine organisms from three domains of lifefurther optimized through rounds of protein engineering and metabolicproofreading Although this completely designed pathway has not yetbeen implemented in vivo (eg in a bacterial carrier) it is a question oftime until it is done and propagated throughout an entire microbialcommunity (de Lorenzo et al 2016)

Finally todays systemic approaches enable the invention of en-zymes from scratch through de novo protein design followed by directedevolution which opens perspectives for improving the natural state ofaffairs regarding fixation of CO2 (and other greenhouse gases) as well asvalorization of this waste as biotechnological feedstocks (Huang et al2016 Renata et al 2015) A separate matter is the large-scale de-ployment of the microbial agents for CO2 retrieval Existing technologyallows their implementation in biofilters and bioreactors that captureemissions at source But how can we spread such desirable catalyticproperties at a very large even at planetary level to make a differenceSuch technologies are not yet availablemdashlet alone that they raise a largenumber of safety questions But they must necessarily be developed ifwe are not just to control greenhouse gas discharges but also aim attheir eventual reduction to pre-industrial levels (de Lorenzo et al2016)

Unfortunately greenhouse gases are not the only globally wide-spread molecules to be concerned about Much before global warming

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859

associated to CO2 emissions became so conspicuous widespread pol-lution by endocrine disruptors (eg alkylphenols bisphenols DDTPCBs polybrominated diphenyl ethers phthalates and per-fluorooctanoic acid) was well documented Moreover other silent pol-lutants originate in the pharmaceutical industry eg antibiotics(Marathe et al 2017) and hormones They end up in a large variety ofecosystems in a diluted but still active form Finally plastics (egpolycarbonate polystyrene polyethylene terephthalate lowhigh-density polyethylene polypropylene and polyvinyl chloride) are cur-rently receiving a considerable focus as a major environmental pro-blem A number of microbial strains able to totally or partially act uponthese compounds have been isolated (see above) but in general thebiodegradation process is very slow The global nature of these types ofpollution thus requires the development of new efficient microbialpathways for their elimination quite a challenge for contemporarysynthetic biologists and metabolic engineers (de Lorenzo 2017)Butmdashas is the case for CO2 capture mentioned abovemdashpathways andhosts able to deploy them are not enough Effective strategies for globaldispersion of biodegradative activities of interest are badly nee-dedmdashperhaps inspired in gene drives or some type of self-propagatingmassive horizontal gene transfer (de Lorenzo et al 2016)

5 Conclusions and perspectives

The practical examples described in the preceding sections showthat technologies of systemic biology offer promise not only for therenaissance of bioremediation using anthropogenically enhanced mi-crobial degraders but also for entry to the new era of Bioremediation30 The bottlenecks described at the beginning of this text are one byone being released or removed with the help of new computational andexperimental tools Databases and pathway prediction systems help the

user to select suitable chemically and energetically feasible traits fordesired tasks Multi-omic analyses provide valuable information thatfacilitates choice of a suitable host Genome-scale and kinetic modelsapplied hand-in-hand with genetic engineering techniques enable tai-loring of gene expression reduction of metabolic burden and pathwayoptimization in the context of host metabolism The visionary conceptsof synthetic biology and global scale CO2 bioremediation open up newdimensions for engineering microbial degraders General work schemesand standards for design building and fine-tuning of selected bio-chemical routes networks and whole-cell biocatalysts are simulta-neously becoming better defined and accepted by the community

Despite the clear progress over the last decade of biochemical andbiological engineering the vast complexity of the living cell remainsthe major hurdle for any attempt for fully rational pathway design Inthe case of biosensing and biodegradation pathway design and pro-spective applications of the genetically-modified microbes this problemis exacerbated by the complexity of intercellular and interspecific in-teractions and by the still poorly understood interplay between thebiotic and abiotic factors that govern contaminant biodegradation inpolluted ecosystems (de Lorenzo 2008 Meckenstock et al 2015) Weassume that in principle there are two ways to address this challengenow and in future

The first admits that complexity of biological systems will not beresolved anytime soon and thus bets on combining rational designs withnatural evolution at the end of the DBTA cycle thus expanding it toDBTAE (Design-Build-Test-Analyze-Evolve) Adaptive laboratory evo-lution (ALE) is a high calibre tool of this approach ALE is now frequentlyused by academic and industrial laboratories to evolve desired prop-erties in environmental bacteria and for fine-tuning recombinant mi-croorganisms but its principles have been well known since the time ofthe very first attempts to modify microbial phenotypes (Kellogg et al

Fig 7 Hemiautotrophic growth of engineered E coli al-lowed by decoupling energy production and carbon fixa-tion The hemiautotrophic growth was observed after per-forming three distinct steps (i) Calvin-Benson-Bassham(CBB) cycle for the biosynthesis of sugars from CO2 wascompleted by introducing only two exogenous enzymaticactivities phosphoribulokinase (prkA) and RuBisCO (ii)phosphoglycerate mutase genes gpmA and gpmM were de-leted to separate central metabolism into two sub-systemsie a CO2-fixing part that included PrkA RuBisCO upperglycolysis and the pentose phosphate pathway and an en-ergy-supplying module that employed lower glycolysis andthe TCA cycle (iii) the engineered strain bearing furthermutations (ΔpfkA ΔpfkB Δzwf) was exposed to the strongselective pressure towards greater carbon fixation in xylose-limited chemostat with a surplus pyruvate and CO2Emerged mutations made designed CBB cycle functionaland the hemiautotrophic strain that replaced utilisation ofxylose with CO2 fixation dominated the populationFigure adapted from Antonovsky et al (2016)

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1981) In biodegradation research exposing microorganisms with de-sirable catabolic traits to the target chemical(s) for prolonged intervalsin chemostat or shaken-flask cultures enabled isolation of bacteria ableto use persistent compounds such as 245-trichlorophenoxyacetic acid(the defoliating Agent Orange) or helped improve atrazine degradationrates by Pseudomonas sp ADP or 24-dichlorophenoxyacetic by Ral-stonia sp TFD41 (Devers et al 2008 Kellogg et al 1981 Nakatsuet al 1998) Nonetheless the potential of ALE in engineering microbialdegraders has yet not been fully exploited ALE will be an ideal tool forempowering rationally pre-designed recombinants with resistance todiverse environmental stresses encountered in directed biodegradationprocesses or in polluted ecosystems (Nicolaou et al 2010 Oide et al2015 Wang et al 2016) When combined with whole-genome se-quencing and reverse engineering ALE as an evolutionary ldquoblindrdquo ap-proach can paradoxically contribute to further rationalizing the field byexposing otherwise unpredictable complex changes in multitrait phe-notypes

The second approach bets on technology without compromise andwill take advantage of continuing technological revolution in biologyand related sciences We recently witnessed the attempt of syntheticbiologists to implement automation as we know it from electronic en-gineering in the design of orthogonal genetic circuits that would co-ordinate the actions of selected microbial chassis (Nielsen et al 2016)The genetic ldquogutsrdquo and pathway enzymes of the chassis can be designedand synthesized de novo or be tailored rapidly with surgical precisionusing new genome editing and protein engineering tools (Huang et al2016 Hutchison et al 2016 Nyerges et al 2016 Ran et al 2013Renata et al 2015) Although the circuit design tools still work pre-dominantly with simple logic gates the robustness and utility of theavailable minimal cells is limited and de novo-designed enzymes havelow activity we can assume that the efficiency reliability and timedemand of such exercises will be further improved by progress incomputer science and artificial intelligence development that couldcrack the complexity of life A purely technological approach wouldomit any unknowns from the DBTA cycle with help of reliable com-putational simulations thus expanding it to DSBTA (Design-Simulate-Build-Test-Analyze) and providing space for construction of whole-cellcatalysts perfectly tailored for specific biodegradation tasks

The challenges of both approaches applied to directed in situ bior-emediation encompass the development of test schemes that will ex-pose engineered organisms to mimicked environmental conditions in-cluding limiting carbon sources lack of oxygen or redox recycling masstransfer perturbations or interspecific predation (Meckenstock et al2015) A critical issue will be the choice and establishment of newchassis organisms better suited to field biotransformations than thecurrently available laboratory strains in terms of resistance to harshconditions including extreme pH temperature osmotic pressure orfluctuating concentrations of toxic chemicals (Adams 2016) Thesenew strains must simultaneously be reliable amenable to genetic ma-nipulation have mapped genomes and ideally metabolic models athand The in situ bioremediation quests will be complicated by thevarying nature of polluting compounds their mixtures and transfor-mation products all of which can be present at a single site (Sarigiannisand Hansen 2012) Future microbial degraders must therefore be de-signed to cope with several problem compounds in parallel and notonly in terms of degradation or mineralization The succesful conver-sion of dangerous contaminants into usable molecules that can be fur-ther valorized by whole-cell or cell-free biocatalysts is a desirablestarting point for the development of new technologies that extendstandard concepts of biodegradation and bioremediation (Dvorak et al2014a Wigginton et al 2012) Microbe-driven trash-to-treasure con-versions are known from established biomass valorization processesbut this concept can also be implemented in wastewater treatmentmetal and plastic recycling or in direct valorization of industrial by-product streams or captured greenhouse gases (Bornscheuer 2016Koutinas et al 2014 Nancharaiah et al 2016 Wierckx et al 2015)

Even so the major challenge to the entire field of engineered de-graders is not related to continued progress in the development of im-proved technologies which is inevitable but rather to the dissemina-tion and popularization of achievements already attained Publicenvironmental concerns and regulatory constraints have not just re-stricted field tests of genetically modified microbes but also affect thequality of fundamental research and by the same token overall pro-gress in the field The exercises described in this review will only have achance to become real enterprises if the general population is inspiredby biotechnology and accepts it as an inseparable part of our dailyroutine as it did for information technology The new systemic dis-ciplines that make life less puzzling as well as emerging do-it-yourselfmovement in biotechnology can undoubtedly contribute to a generalchange of attitude (de Lorenzo and Schmidt 2017) Such change isvital because our ability to minimize production of waste and pollutingchemicals remove existing waste or use it in bioprocesses to formvalue-added compounds will shape the fate of our society on a globalscale

Acknowledgements

PD is the holder of the Marie Sklodowska-Curie grant No 704410(FUTURE) The work in Authors Laboratory was funded by theCAMBIOS Project of the Spanish Ministry of Economy andCompetitiveness RTC-2014-1777-3 (MINECO) HELIOS Project of theSpanish Ministry of Economy and Competitiveness BIO 2015-66960-C3-2-R (MINECOFEDER) and the ARISYS (ERC-2012-ADG-322797)EmPowerPutida (EU-H2020-BIOTEC-2014-2015-6335536) andRaft4Biotech (720776) contracts of the European Union JD is sup-ported also by the Czech Ministry of Education (LQ1605 LO1214LM2015055) and Czech Grant Agency (GA16-06096S) The financialsupport of The Novo Nordisk Foundation to PIN is also gratefully ac-knowledged

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Martiacutenez-Garciacutea E Nikel PI Aparicio T de Lorenzo V 2014b Pseudomonas 20genetic upgrading of P putida KT2440 as an enhanced host for heterologous geneexpression Microb Cell Factories 13 159 httpdxdoiorg101186s12934-014-0159-3

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Wang B Kitney RI Joly N Buck M 2011 Engineering modular and orthogonalgenetic logic gates for robust digital-like synthetic biology Nat Commun 2 508httpdxdoiorg101038ncomms1516

Wang K Schmied WH Chin JW 2012 Reprogramming the genetic code from tri-plet to quadruplet codes Angew Chem Int Ed Eng 51 2288ndash2297 httpdxdoiorg101002anie201105016

Wang B Barahona M Buck M 2013 A modular cell-based biosensor using engineeredgenetic logic circuits to detect and integrate multiple environmental signals BiosensBioelectron 40 368ndash376 httpdxdoiorg101016jbios201208011

Wang L Xue C Wang L Zhao Q Wei W Sun Y 2016 Strain improvement ofChlorella sp for phenol biodegradation by adaptive laboratory evolution BioresourTechnol 205 264ndash268 httpdxdoiorg101016jbiortech201601022

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P Dvořaacutek et al Biotechnology Advances 35 (2017) 845ndash866

866

  • Bioremediation 30 Engineering pollutant-removing bacteria in the times of systemic biology
    • Introduction
    • Approaches and tools of systems biology and metabolic engineering for tailoring biodegradation pathways
      • Step 1 get to know the contaminant and find a suitable catabolic pathway
        • Databases
        • Pathway prediction systems and toxicity prediction algorithms
        • Detection and quantification of pathway building blocks
          • Step 2 select and get to know a suitable microbial host
            • Omics techniques in studies of bacterial degraders
              • Step 3 build the pathway and optimize its performance in the context of host metabolism
                • Computational tools for pathway and strain optimization
                • Experimental tools for pathway and strain optimization
                • Protein engineering to eliminate bottlenecks of biodegradation pathways
                    • Synthetic biology approaches and tools for biodegradation pathway engineering
                      • Development of robust microbial chassis for biodegradation of toxic chemicals
                      • Development of synthetic microbial consortia for enhanced biodegradation and bioremediation of pollutants
                      • Development of orthogonal systems in bacteria to enhance pollutant biodegradation and bioremediation
                      • Engineering microbial biodegradation pathways in vitro
                        • Towards planet-wide bioremediation interventions CO2 capture as a large-scale challenge
                        • Conclusions and perspectives
                        • Acknowledgements
                        • References
                        • Web references
Page 14: Bioremediation 3.0 Engineering pollutant-removing bacteria ... · biology, metabolic engineering, and synthetic biology, for the sake of understanding and reprograming biological

inputmulti-output logic gates will be especially valuable for detectingmixtures of polluting chemicals (organic inorganic or both) by pro-viding a specific signal for each of the constituents (He et al 2016Wang et al 2011) Developing such biosensors is of practical im-portance as polluted environments are usually burdened with nu-merous contaminants that have diverse physicochemical propertiesThe authors engineered a set of two-input E coli-based biosensors withsynthetic AND gates using signalling sensory modules from native two-component signal transduction pathways as well as hrpR and hrpSgenes along with their HrpL promoter element from P syringae Usingthese sensors they detected arsenic mercury copper and zinc ions aswell as quorum sensing molecules in aqueous environment (Wang et al2011) The most advanced design resulted in a triple-input AND logic-gated biosensor that formed a synthetic bacterial consortium in whicheach of the two members acted as a double input sensor (Fig 6B) In thepresence of arsenic and mercury the first strain formed a quorumsensing molecule (3OC6HSL) that diffused freely into the medium andwas sensed together with Cu2+ by the second strain which provided ared fluorescent signal (Wang et al 2013) The fluorescent response wasseen only when all three metal ions were present in the culture

Reliable orthogonal devices will be crucial for engineering artificialcell-cell communication for instance taking advantage of bacterialquorum sensing systems (Hennig et al 2015 Scott and Hasty 2016)Programming the dynamics of subpopulations of synthetic consortiathat perform complex tasks will be only possible with parallel geneticcircuits and signalling molecules unknown to the host cells (Chen et al2015) As stressed by Silva-Rocha and de Lorenzo (2014) catabolicpathways for recalcitrant and xenobiotic compounds could be a reliablesource of wiring devices and molecules These pathways are frequentlyfound in specific types of organisms and metabolic crosstalk can thusbe avoided by implementing components of such networks in suitablehosts For instance aromatic molecules such as benzoate or phenol canbe used as signal inducers that are recognized by regulatory proteinsthat trigeger expression of target genes The recent determination of thecrystal structure of the sensory domain in the phenol-responsive tran-scription activator PoxR ilustrates how aromatics are sensed in bacteria(Patil et al 2016) This study paves the way for wider application ofrationally engineered transcription regulators responsive to aromaticsin the design of synthetic genetic circuits

The dynamic behaviour of the whole biodegradation pathway canalso be better studied when the route is transferred into a distant hostchassis where it acts orthogonally The orthogonal nature of the syn-thetic pathway for TCP biodegradation in the surrogate host E coliBL21 (DE3) described in Section 231 allowed a very good matchbetween in silico predicted and in vivo metabolite concentrations andprecise description of the bottlenecks (Kurumbang et al 2014) as wellas deciphering the contribution of metabolic burden and substratemetabolite toxicity to the fitness cost of TCP biotransformation bywhole-cell catalysts (Dvorak et al 2015) Despite their benefits for suchmechanistic and proof-of-concept studies laboratory E coli strainsmight not be optimally suited for the harsh conditions that accompanybiodegradation and bioremediation processes (Adams 2016 Nicolaouet al 2010) Development of reliable chassis amenable to implantationof orthogonal genetic devices is therefore desirable These new cellplatforms should be based on robust environmental strains of Pseudo-monas Rhodococcus Deinococcus and other microorganisms with broadmetabolic versatility and natural resistance to organic solvents or heavymetals (Adams 2016)

One can also take advantage of other specific properties of en-vironmental bacteria including formation of a robust biofilm As shownrecently by Benedetti and colleagues the actual physical forms ofwhole-cell biocatalysts can be mastered using orthogonal genetic parts(Fig 6C) through the so-called synthetic morphology approach (Benedettiet al 2016) Pseudomonads generate biofilms with biophysical prop-erties that depend on the species Cyclic di-GMP (c-di-GMP) is the keysignal molecule that rules the complex regulatory network mediating

the transition between planktonic cells and biofilm formation Thisfeature was exploited to design an orthogonal genetic device for ma-nipulating the native c-di-GMP biochemistry in P putida thereby con-trolling biofilm formation (Benedetti et al 2016) The E coli yedQ gene(encoding diguanylate cyclase the enzyme that synthesizes c-di-GMPfrom GTP) was placed under control of a tightly regulated cyclohex-anone-responsive expression system A synthetic operon encoding theenzymes needed for 1-chlorobutane biodegradation was also in-troduced in the engineered biofilm-forming P putida strain Upon ac-tivation of the corresponding genetic modules with appropriate in-ducers the resulting P putida biocatalyst displayed high dehalogenaseactivity in robust biofilms

The modern approaches of biological engineering accelerate thedevelopment of whole-cell biocatalysts for in situ bioremediation orbiosensing of emerging environmental pollutants Field applications ofgenetically modified microorganisms are nonetheless restricted bycurrent legislation and hindered by the unreliable behaviour of re-combinant microbes in complex fluctuating environments Syntheticbiology can help to tackle the major problems through the means de-scribed at the beginning of this chapter ie non-canonical geneticcodes and xenobiochemistry which can prevent diffusion of undesiredsequences into the environmental gene pool differentiate recombinantsfrom their natural counterparts and improve robustness and reliabilityof prepared genetic devices whole-cell degraders and biosensors Theexamples of such endeavours were recently reviewed extensively(Schmidt 2010 Schmidt and de Lorenzo 2016) These systems couldbe combined with bioluminiscence fluorescence or DNA watermarkingtechnologies to track the environmental fate of designer degraders orwith inducible suicide systems for discarding degraders once theirmission is completed (Liss et al 2012 Liu et al 2010 Paul et al2005) Yet the path to applied xenobiology is still crooked and manyethical questions remain Another concept from the portfolio of syn-thetic biology that will be discussed in the following section has thepotential to fill the time gap until we obtain reliable whole-cell catalystsand alternative solutions also acceptable for GMO critics will be pro-vided

34 Engineering microbial biodegradation pathways in vitro

The major principle of cell-free synthetic biology is that purifiedbiomolecules or components in crude cell extracts replace intact cellsfor constructing complex biomolecular systems (Hodgman and Jewett2012) To date metabolic networks that encompassgt 10 enzymeshave been reconstructed in vitro (Rollin et al 2015 Schwander et al2016) Cell-free metabolic pathways allow easy verification of bioca-talyst function determination of kinetic parameters as well as eva-luation of the network by kinetic modelling (Santacoloma et al 2011)Note however that assemby of degradative pathways in cell-free sys-tems (whether with purified enzymes or cell extracts) is not only toprototype and parametrize new routes but also for direct use in thefield (Karig 2017) Despite the drawbacks that cell-free systems cannotself-propagate that certain biomolecules can be sensitive to oxidizingenvironments and that their encapsulation and large-scale productionmight be costly these systems offer an appealing means to circumventproblems associated to GMO release to the environment Apart fromincreasing safety they offer other clear benefits For instance in vitrosystems can operate in the presence of toxins that would inhibit or killlive cells and metabolites regulators and enzymes can be produced inoptimized concentrations without interfering with cell componentsMost important for release and predictability the evolutionary oppor-tunities of such non-live agents are zero making the emergence ofunexpected properties virtually impossible

In vitro metabolic networks can suffer from suboptimal efficiencydue to the lower enzyme concentration compared to the extremelydense cell cytoplasm (Hodgman and Jewett 2012) This issue can bemitigated by enzyme immobilization and improved spatial organization

P Dvořaacutek et al Biotechnology Advances 35 (2017) 845ndash866

858

via synthetic protein or DNA scaffolds that reduce diffusion of pathwayintermediates and promote substrate channeling (Siu et al 2015) Al-ternatively biocatalysts can be precipitated and covalently inter-connected in cross-linked enzyme aggregate particles (Sheldon 2011)this method was applied successfully to synthesize toxic nucleotideanalogues by an immobilized five-enzyme synthetic pathway (Scismand Bachmann 2010) The biochemical route described was completedwith functional ATP regeneration which demonstrates that in vitrotechnologies can cope with another possible drawback ndash limited co-factor recycling

Thus far mainly single immobilized enzymes or whole-cell bioca-talysts have been exploited in biotechnological processes intended toremove polluting chemicals such as polyethylene terephthalate 24-dinitrophenol atrazine or inorganic nitrates (Barth et al 2016Dehghanifard et al 2013 Mutlu et al 2015 Troumlgl et al 2012) In vitroassays with cell-free extracts or purified enzymes respectively helpedto identify an unknown anaerobic pathway for complete phthalatedegradation to CO2 in Thauera chlorobenzoica 3CB-1 or to decipher se-questration of the highly toxic intermediate tetrachlorobenzoquinone inpentachlorophenol degradation pathway in Sphingobium chlor-ophenolicum (Ebenau-Jehle et al 2017 Yadid et al 2013) Geuekeet al showed the benefits of an in vitro engineering approach in themodel of γ-HCH biodegradation pathway (Geueke et al 2013) Theyused a system of two purified enzymes the dehydrochlorinase LinA andthe haloalkane dehalogenase LinB which initiate biotransformation ofγ-HCH a prohibited insecticide They separately incubated five isomersthat form technical HCH (which used to be applied frequently instead ofpure γ-HCH) with various LinALinB ratios and determined metabolicprofiles of sequential biotransformations Analyses of these profileshelped determine the environmental fate of HCH isomers and showedthat the original HCH degradation pathway is optimized by evolutionfor γ-HCH but not for other isomers that co-pollute contaminated sites

The first report of in vitro assembly of a fully functional syntheticbiodegradation pathway was published by Dvorak and co-workers(Dvorak et al 2014a) The authors adopted the cell-free strategy usingimmobilized engineered haloalkane dehalogenase DhaA31 halohydrindehalogenase HheC and epoxide hydrolase EchA for TCP bio-transformation to harmless valuable glycerol in contaminated water(Fig 6D) The practical utility of bacterial recombinants that mineralizeTCP (desccribed in Sections 231 and 232) is limited by substratetoxicity and by legislative barriers on the application of GMO(Kurumbang et al 2014 Samin et al 2014) Probing the function ofthe pathway in in vitro conditions therefore lied ready to hand Theauthors successfully immobilized the pathway in the form of purifiedenzymes or cell-free extracts in cross-linked enzyme aggregates andlens-shaped polyvinyl alcohol particles The immobilized pathwayshowed almost the same efficiency of TCP-to-glycerol conversion asmixture of free enzymes Physicochemical properties of polyvinyl al-cohol lentils allowed recovery from the reaction mixture and recyclingof the pathway In addition the immobilized enzymes retainedgt 50of their initial activities for over 2 months of continuous operation in abench-top packed bed reactor The study indicated that the im-mobilized route removes TCP from heavily contaminated water with apollutant concentration (~1 gL) that would be detrimental to theliving degraders One can anticipate that such conversions of toxic TCPto useful glycerol could even pave the way for prospective valorizationof this waste chemical

Although this biotechnology requires further validation and tuningthe work showed that in vitro assembly of natural or synthetic enzy-matic pathways with engineered enzymes is a promising concept for thebiodegradation of polluting compounds and toxic industrial wasteproducts Transport of such pathways via non-live carriers is relatedconceptually to efforts to produce and release complex therapeuticagents for human use In both cases their application demands thedevelopment of a sort of environmental Galenic science that enablessupply of the engineered biological remedy when and where needed

4 Towards planet-wide bioremediation interventions CO2

capture as a large-scale challenge

Environmental deterioration due to emissions of recalcitrant che-micals seems to pale when compared to the problem of global warmingcaused by the release of greenhouse gases that originate in human ac-tivities The bulk of these gases comprise four natural molecules carbondioxide (CO2) methane (CH4) nitrous oxide (N2O) and ozone (O3) aswell as one class of xenobiotics the chlorofluorocarbons or CFC Giventhe diluted aereal and global nature of this problem the strategiescontemplated for tackling these chemical species differ considerablyfrom those that centre on site-specific pollution issues Most proposalsthus far focus much more on reducing emissions than on capture andreturning to innocuous chemical or mineral forms All these compoundshave their own natural biogeochemical cycle and in theory simplyreducing their input into the biosphere should restore the originalequilibrium (Rockstroumlm et al 2017) Recent ecological thought none-theless postulates that the impact of climate change in many ecosystemsis already irreversible by natural means and call for large-scale inter-ventions that could help to resolve this impasse (de Lorenzo et al2016) In this case what types of options could be considered from asystemic biology perspective

Some incipient attempts have appeared recently mostly in the fieldof engineering bacteria with a greater capacity for non-photosyntheticfixing of CO2 (Erb and Zarzycki 2016) One option is to use the sixalternative pathways of autotrophic carbon fixation known in nature(Fuchs 2011 Hicks et al 2017) as a starting point to optimize suchnatural processes Another possibilty is the invention of new routes byrewiring or modifying existing enzymes in a new configuration A re-markable example of this solution is the work of Antonovsky et al(2016) who showed that combining metabolic rewiring recombinantprotein expression and laboratory evolution enables the production ofsugars and other biomass constituents by a fully functional Calvin-Benson-Bassham (CBB) cycle in E coli In the bacteria designed in thisway carbon is fixed via a refactored CBB cycle whereas reducingpower and energy are derived from pyruvate oxidation (Fig 7) It isinteresting to note how evolutionary approaches adjust fluxes andgenerate connections between the designed CBB cycle and the hostbiochemical network that cannot be predicted or designed

A separate approach was recently developed by Schwander et al(2016) who developed a synthetic route for continuous CO2 fixation invitro by composing a cycle formed of 17 enzymes that convert CO2 intoorganic molecules The cycle was draughted by metabolic retro-synthesis with enzymes from nine organisms from three domains of lifefurther optimized through rounds of protein engineering and metabolicproofreading Although this completely designed pathway has not yetbeen implemented in vivo (eg in a bacterial carrier) it is a question oftime until it is done and propagated throughout an entire microbialcommunity (de Lorenzo et al 2016)

Finally todays systemic approaches enable the invention of en-zymes from scratch through de novo protein design followed by directedevolution which opens perspectives for improving the natural state ofaffairs regarding fixation of CO2 (and other greenhouse gases) as well asvalorization of this waste as biotechnological feedstocks (Huang et al2016 Renata et al 2015) A separate matter is the large-scale de-ployment of the microbial agents for CO2 retrieval Existing technologyallows their implementation in biofilters and bioreactors that captureemissions at source But how can we spread such desirable catalyticproperties at a very large even at planetary level to make a differenceSuch technologies are not yet availablemdashlet alone that they raise a largenumber of safety questions But they must necessarily be developed ifwe are not just to control greenhouse gas discharges but also aim attheir eventual reduction to pre-industrial levels (de Lorenzo et al2016)

Unfortunately greenhouse gases are not the only globally wide-spread molecules to be concerned about Much before global warming

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associated to CO2 emissions became so conspicuous widespread pol-lution by endocrine disruptors (eg alkylphenols bisphenols DDTPCBs polybrominated diphenyl ethers phthalates and per-fluorooctanoic acid) was well documented Moreover other silent pol-lutants originate in the pharmaceutical industry eg antibiotics(Marathe et al 2017) and hormones They end up in a large variety ofecosystems in a diluted but still active form Finally plastics (egpolycarbonate polystyrene polyethylene terephthalate lowhigh-density polyethylene polypropylene and polyvinyl chloride) are cur-rently receiving a considerable focus as a major environmental pro-blem A number of microbial strains able to totally or partially act uponthese compounds have been isolated (see above) but in general thebiodegradation process is very slow The global nature of these types ofpollution thus requires the development of new efficient microbialpathways for their elimination quite a challenge for contemporarysynthetic biologists and metabolic engineers (de Lorenzo 2017)Butmdashas is the case for CO2 capture mentioned abovemdashpathways andhosts able to deploy them are not enough Effective strategies for globaldispersion of biodegradative activities of interest are badly nee-dedmdashperhaps inspired in gene drives or some type of self-propagatingmassive horizontal gene transfer (de Lorenzo et al 2016)

5 Conclusions and perspectives

The practical examples described in the preceding sections showthat technologies of systemic biology offer promise not only for therenaissance of bioremediation using anthropogenically enhanced mi-crobial degraders but also for entry to the new era of Bioremediation30 The bottlenecks described at the beginning of this text are one byone being released or removed with the help of new computational andexperimental tools Databases and pathway prediction systems help the

user to select suitable chemically and energetically feasible traits fordesired tasks Multi-omic analyses provide valuable information thatfacilitates choice of a suitable host Genome-scale and kinetic modelsapplied hand-in-hand with genetic engineering techniques enable tai-loring of gene expression reduction of metabolic burden and pathwayoptimization in the context of host metabolism The visionary conceptsof synthetic biology and global scale CO2 bioremediation open up newdimensions for engineering microbial degraders General work schemesand standards for design building and fine-tuning of selected bio-chemical routes networks and whole-cell biocatalysts are simulta-neously becoming better defined and accepted by the community

Despite the clear progress over the last decade of biochemical andbiological engineering the vast complexity of the living cell remainsthe major hurdle for any attempt for fully rational pathway design Inthe case of biosensing and biodegradation pathway design and pro-spective applications of the genetically-modified microbes this problemis exacerbated by the complexity of intercellular and interspecific in-teractions and by the still poorly understood interplay between thebiotic and abiotic factors that govern contaminant biodegradation inpolluted ecosystems (de Lorenzo 2008 Meckenstock et al 2015) Weassume that in principle there are two ways to address this challengenow and in future

The first admits that complexity of biological systems will not beresolved anytime soon and thus bets on combining rational designs withnatural evolution at the end of the DBTA cycle thus expanding it toDBTAE (Design-Build-Test-Analyze-Evolve) Adaptive laboratory evo-lution (ALE) is a high calibre tool of this approach ALE is now frequentlyused by academic and industrial laboratories to evolve desired prop-erties in environmental bacteria and for fine-tuning recombinant mi-croorganisms but its principles have been well known since the time ofthe very first attempts to modify microbial phenotypes (Kellogg et al

Fig 7 Hemiautotrophic growth of engineered E coli al-lowed by decoupling energy production and carbon fixa-tion The hemiautotrophic growth was observed after per-forming three distinct steps (i) Calvin-Benson-Bassham(CBB) cycle for the biosynthesis of sugars from CO2 wascompleted by introducing only two exogenous enzymaticactivities phosphoribulokinase (prkA) and RuBisCO (ii)phosphoglycerate mutase genes gpmA and gpmM were de-leted to separate central metabolism into two sub-systemsie a CO2-fixing part that included PrkA RuBisCO upperglycolysis and the pentose phosphate pathway and an en-ergy-supplying module that employed lower glycolysis andthe TCA cycle (iii) the engineered strain bearing furthermutations (ΔpfkA ΔpfkB Δzwf) was exposed to the strongselective pressure towards greater carbon fixation in xylose-limited chemostat with a surplus pyruvate and CO2Emerged mutations made designed CBB cycle functionaland the hemiautotrophic strain that replaced utilisation ofxylose with CO2 fixation dominated the populationFigure adapted from Antonovsky et al (2016)

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860

1981) In biodegradation research exposing microorganisms with de-sirable catabolic traits to the target chemical(s) for prolonged intervalsin chemostat or shaken-flask cultures enabled isolation of bacteria ableto use persistent compounds such as 245-trichlorophenoxyacetic acid(the defoliating Agent Orange) or helped improve atrazine degradationrates by Pseudomonas sp ADP or 24-dichlorophenoxyacetic by Ral-stonia sp TFD41 (Devers et al 2008 Kellogg et al 1981 Nakatsuet al 1998) Nonetheless the potential of ALE in engineering microbialdegraders has yet not been fully exploited ALE will be an ideal tool forempowering rationally pre-designed recombinants with resistance todiverse environmental stresses encountered in directed biodegradationprocesses or in polluted ecosystems (Nicolaou et al 2010 Oide et al2015 Wang et al 2016) When combined with whole-genome se-quencing and reverse engineering ALE as an evolutionary ldquoblindrdquo ap-proach can paradoxically contribute to further rationalizing the field byexposing otherwise unpredictable complex changes in multitrait phe-notypes

The second approach bets on technology without compromise andwill take advantage of continuing technological revolution in biologyand related sciences We recently witnessed the attempt of syntheticbiologists to implement automation as we know it from electronic en-gineering in the design of orthogonal genetic circuits that would co-ordinate the actions of selected microbial chassis (Nielsen et al 2016)The genetic ldquogutsrdquo and pathway enzymes of the chassis can be designedand synthesized de novo or be tailored rapidly with surgical precisionusing new genome editing and protein engineering tools (Huang et al2016 Hutchison et al 2016 Nyerges et al 2016 Ran et al 2013Renata et al 2015) Although the circuit design tools still work pre-dominantly with simple logic gates the robustness and utility of theavailable minimal cells is limited and de novo-designed enzymes havelow activity we can assume that the efficiency reliability and timedemand of such exercises will be further improved by progress incomputer science and artificial intelligence development that couldcrack the complexity of life A purely technological approach wouldomit any unknowns from the DBTA cycle with help of reliable com-putational simulations thus expanding it to DSBTA (Design-Simulate-Build-Test-Analyze) and providing space for construction of whole-cellcatalysts perfectly tailored for specific biodegradation tasks

The challenges of both approaches applied to directed in situ bior-emediation encompass the development of test schemes that will ex-pose engineered organisms to mimicked environmental conditions in-cluding limiting carbon sources lack of oxygen or redox recycling masstransfer perturbations or interspecific predation (Meckenstock et al2015) A critical issue will be the choice and establishment of newchassis organisms better suited to field biotransformations than thecurrently available laboratory strains in terms of resistance to harshconditions including extreme pH temperature osmotic pressure orfluctuating concentrations of toxic chemicals (Adams 2016) Thesenew strains must simultaneously be reliable amenable to genetic ma-nipulation have mapped genomes and ideally metabolic models athand The in situ bioremediation quests will be complicated by thevarying nature of polluting compounds their mixtures and transfor-mation products all of which can be present at a single site (Sarigiannisand Hansen 2012) Future microbial degraders must therefore be de-signed to cope with several problem compounds in parallel and notonly in terms of degradation or mineralization The succesful conver-sion of dangerous contaminants into usable molecules that can be fur-ther valorized by whole-cell or cell-free biocatalysts is a desirablestarting point for the development of new technologies that extendstandard concepts of biodegradation and bioremediation (Dvorak et al2014a Wigginton et al 2012) Microbe-driven trash-to-treasure con-versions are known from established biomass valorization processesbut this concept can also be implemented in wastewater treatmentmetal and plastic recycling or in direct valorization of industrial by-product streams or captured greenhouse gases (Bornscheuer 2016Koutinas et al 2014 Nancharaiah et al 2016 Wierckx et al 2015)

Even so the major challenge to the entire field of engineered de-graders is not related to continued progress in the development of im-proved technologies which is inevitable but rather to the dissemina-tion and popularization of achievements already attained Publicenvironmental concerns and regulatory constraints have not just re-stricted field tests of genetically modified microbes but also affect thequality of fundamental research and by the same token overall pro-gress in the field The exercises described in this review will only have achance to become real enterprises if the general population is inspiredby biotechnology and accepts it as an inseparable part of our dailyroutine as it did for information technology The new systemic dis-ciplines that make life less puzzling as well as emerging do-it-yourselfmovement in biotechnology can undoubtedly contribute to a generalchange of attitude (de Lorenzo and Schmidt 2017) Such change isvital because our ability to minimize production of waste and pollutingchemicals remove existing waste or use it in bioprocesses to formvalue-added compounds will shape the fate of our society on a globalscale

Acknowledgements

PD is the holder of the Marie Sklodowska-Curie grant No 704410(FUTURE) The work in Authors Laboratory was funded by theCAMBIOS Project of the Spanish Ministry of Economy andCompetitiveness RTC-2014-1777-3 (MINECO) HELIOS Project of theSpanish Ministry of Economy and Competitiveness BIO 2015-66960-C3-2-R (MINECOFEDER) and the ARISYS (ERC-2012-ADG-322797)EmPowerPutida (EU-H2020-BIOTEC-2014-2015-6335536) andRaft4Biotech (720776) contracts of the European Union JD is sup-ported also by the Czech Ministry of Education (LQ1605 LO1214LM2015055) and Czech Grant Agency (GA16-06096S) The financialsupport of The Novo Nordisk Foundation to PIN is also gratefully ac-knowledged

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Chakraborty R Wu CH Hazen TC 2012 Systems biology approach to bior-emediation Curr Opin Biotechnol 23 483ndash490 httpdxdoiorg101016jcopbio201201015

Chang A Schomburg I Placzek S Jeske L Ulbrich M Xiao M Sensen CWSchomburg D 2015 BRENDA in 2015 exciting developments in its 25th year ofexistence Nucleic Acids Res 43 D439ndash446 httpdxdoiorg101093nargku1068

Chavarriacutea M Nikel PI Peacuterez-Pantoja D de Lorenzo V 2013 The Entner-Doudoroffpathway empowers Pseudomonas putida KT2440 with a high tolerance to oxidative

stress Environ Microbiol 15 1772ndash1785 httpdxdoiorg1011111462-292012069

Chen L Lu J Zhang J Feng K-R Zheng M-Y Cai Y-D 2013 Predicting chemicaltoxicity effects based on chemical-chemical interactions PLoS One 8 e56517 httpdxdoiorg101371journalpone0056517

Chen Y Kim JK Hirning AJ Josić K Bennett MR 2015 Synthetic biologyEmergent genetic oscillations in a synthetic microbial consortium Science 349986ndash989 httpdxdoiorg101126scienceaaa3794

Chen B Lim S Kannan A Alford SC Sunden F Herschlag D Dimov IK BaerTM Cochran JR 2016 High-throughput analysis and protein engineering usingmicrocapillary arrays Nat Chem Biol 12 76ndash81 httpdxdoiorg101038nchembio1978

Choi S-L Rha E Lee SJ Kim H Kwon K Jeong Y-S Rhee YH Song JJ KimH-S Lee S-G 2014 Toward a generalized and high-throughput enzyme screeningsystem based on artificial genetic circuits ACS Synth Biol 3 163ndash171 httpdxdoiorg101021sb400112u

Chowdhury A Zomorrodi AR Maranas CD 2014 k-OptForce integrating kineticswith flux balance analysis for strain design PLoS Comput Biol 10 e1003487 httpdxdoiorg101371journalpcbi1003487

Chowdhury A Khodayari A Maranas CD 2015 Improving prediction fidelity ofcellular metabolism with kinetic descriptions Curr Opin Biotechnol 36 57ndash64httpdxdoiorg101016jcopbio201508011

Costa RS Machado D Rocha I Ferreira EC 2011 Critical perspective on theconsequences of the limited availability of kinetic data in metabolic dynamic mod-elling IET Syst Biol 5 157ndash163 httpdxdoiorg101049iet-syb20090058

Dai Z Nielsen J 2015 Advancing metabolic engineering through systems biology ofindustrial microorganisms Curr Opin Biotechnol 36 8ndash15 httpdxdoiorg101016jcopbio201508006

Damborsky J Brezovsky J 2014 Computational tools for designing and engineeringenzymes Curr Opin Chem Biol 19 8ndash16 httpdxdoiorg101016jcbpa201312003

de la Pentildea Mattozzi M Tehara SK Hong T Keasling JD 2006 Mineralization ofparaoxon and its use as a sole C and P source by a rationally designed catabolicpathway in Pseudomonas putida Appl Environ Microbiol 72 6699ndash6706 httpdxdoiorg101128AEM00907-06

de Lorenzo V 2008 Systems biology approaches to bioremediation Curr OpinBiotechnol 19 579ndash589 httpdxdoiorg101016jcopbio200810004

de Lorenzo V 2009 Recombinant bacteria for environmental release what went wrongand what we have learnt from it Clin Microbiol Infect 15 (Suppl 1) 63ndash65 httpdxdoiorg101111j1469-0691200802683x

de Lorenzo V 2017 Seven microbial bio-processes to help the planet EnvironMicrobiol httponlinelibrarywileycomdoi1011111751-791512816full

de Lorenzo V Danchin A 2008 Synthetic biology discovering new worlds and newwords EMBO Rep 9 822ndash827 httpdxdoiorg101038embor2008159

de Lorenzo V Schmidt M 2017 The do-it-yourself movement as a source of innovationin biotechnology - and much more Microb Biotechnol 10 517ndash519 httpdxdoiorg1011111751-791512715

de Lorenzo V Marliegravere P Soleacute R 2016 Bioremediation at a global scale from the testtube to planet Earth Microb Biotechnol 9 618ndash625 httpdxdoiorg1011111751-791512399

Dehghanifard E Jonidi Jafari A Rezaei Kalantary R Mahvi AH Faramarzi MAEsrafili A 2013 Biodegradation of 24-dinitrophenol with laccase immobilized onnano-porous silica beads Iranian J Environ Health Sci Eng 10 httpdxdoiorg1011861735-2746-10-25

Deleacutepine B Libis V Carbonell P Faulon J-L 2016 SensiPath computer-aided de-sign of sensing-enabling metabolic pathways Nucleic Acids Res 44 W226ndash231httpdxdoiorg101093nargkw305

Devers M Rouard N Martin-Laurent F 2008 Fitness drift of an atrazine-degradingpopulation under atrazine selection pressure Environ Microbiol 10 676ndash684httpdxdoiorg101111j1462-2920200701490x

Dombrowski N Donaho JA Gutierrez T Seitz KW Teske AP Baker BJ 2016Reconstructing metabolic pathways of hydrocarbon-degrading bacteria from theDeepwater Horizon oil spill Nat Microbiol 1 16057 httpdxdoiorg101038nmicrobiol201657

Doumlrr M Fibinger MPC Last D Schmidt S Santos-Aberturas J Boumlttcher DHummel A Vickers C Voss M Bornscheuer UT 2016 Fully automatized high-throughput enzyme library screening using a robotic platform Biotechnol Bioeng113 1421ndash1432 httpdxdoiorg101002bit25925

Dvorak P Bidmanova S Damborsky J Prokop Z 2014a Immobilized syntheticpathway for biodegradation of toxic recalcitrant pollutant 123-trichloropropaneEnviron Sci Technol 48 6859ndash6866 httpdxdoiorg101021es500396r

Dvorak P Kurumbang NP Bendl J Brezovsky J Prokop Z Damborsky J 2014bMaximizing the efficiency of multienzyme process by stoichiometry optimizationChembiochem Eur J Chem Biol 15 1891ndash1895 httpdxdoiorg101002cbic201402265

Dvorak P Chrast L Nikel PI Fedr R Soucek K Sedlackova M Chaloupkova Rde Lorenzo V Prokop Z Damborsky J 2015 Exacerbation of substrate toxicity byIPTG in Escherichia coli BL21(DE3) carrying a synthetic metabolic pathway MicrobCell Factories 14 201 httpdxdoiorg101186s12934-015-0393-3

Ebenau-Jehle C Mergelsberg M Fischer S Bruumlls T Jehmlich N von Bergen MBoll M 2017 An unusual strategy for the anoxic biodegradation of phthalate ISMEJ 11 224ndash236 httpdxdoiorg101038ismej201691

Erb TJ Zarzycki J 2016 Biochemical and synthetic biology approaches to improvephotosynthetic CO2-fixation Curr Opin Chem Biol 34 72ndash79 httpdxdoiorg101016jcbpa201606026

Eriksson L Jaworska J Worth AP Cronin MTD McDowell RM Gramatica P

P Dvořaacutek et al Biotechnology Advances 35 (2017) 845ndash866

862

2003 Methods for reliability and uncertainty assessment and for applicability eva-luations of classification- and regression-based QSARs Environ Health Perspect 1111361ndash1375

Escalante AE Rebolleda-Goacutemez M Beniacutetez M Travisano M 2015 Ecological per-spectives on synthetic biology insights from microbial population biology FrontMicrobiol 6 143 httpdxdoiorg103389fmicb201500143

Fernaacutendez-Aacutelvaro E Snajdrova R Jochens H Davids T Boumlttcher D BornscheuerUT 2011 A combination of in vivo selection and cell sorting for the identification ofenantioselective biocatalysts Angew Chem Int Ed Eng 50 8584ndash8587 httpdxdoiorg101002anie201102360

Fibinger MPC Davids T Boumlttcher D Bornscheuer UT 2015 A selection assay forhaloalkane dehalogenase activity based on toxic substrates Appl MicrobiolBiotechnol 99 8955ndash8962 httpdxdoiorg101007s00253-015-6686-y

Finley SD Broadbelt LJ Hatzimanikatis V 2009 Computational framework forpredictive biodegradation Biotechnol Bioeng 104 1086ndash1097 httpdxdoiorg101002bit22489

Finley SD Broadbelt LJ Hatzimanikatis V 2010 In silico feasibility of novel bio-degradation pathways for 124-trichlorobenzene BMC Syst Biol 4 7 httpdxdoiorg1011861752-0509-4-7

Francis CW Mankin JB 1977 High nitrate denitrification in continuous flow-stirredreactors Water Res 11 httpdxdoiorg1010160043-1354(77)90061-6

Fuchs G 2011 Alternative pathways of carbon dioxide fixation insights into the earlyevolution of life Annu Rev Microbiol 65 631ndash658 httpdxdoiorg101146annurev-micro-090110-102801

Gao J Ellis LBM Wackett LP 2010 The University of Minnesota BiocatalysisBiodegradation Database improving public access Nucleic Acids Res 38 D488ndash491httpdxdoiorg101093nargkp771

Gao F Ding H Feng Z Liu D Zhao Y 2014 Functional display of triphenylmethanereductase for dye removal on the surface of Escherichia coli using N-terminal domainof ice nucleation protein Bioresour Technol 169 181ndash187 httpdxdoiorg101016jbiortech201406093

Geueke B Garg N Ghosh S Fleischmann T Holliger C Lal R Kohler H-PE2013 Metabolomics of hexachlorocyclohexane (HCH) transformation ratio of LinAto LinB determines metabolic fate of HCH isomers Environ Microbiol 151040ndash1049 httpdxdoiorg1011111462-292012009

Gilbert ES Walker AW Keasling JD 2003 A constructed microbial consortium forbiodegradation of the organophosphorus insecticide parathion Appl MicrobiolBiotechnol 61 77ndash81 httpdxdoiorg101007s00253-002-1203-5

Glass JI Assad-Garcia N Alperovich N Yooseph S Lewis MR Maruf MHutchison CA Smith HO Venter JC 2006 Essential genes of a minimal bac-terium Proc Natl Acad Sci U S A 103 425ndash430 httpdxdoiorg101073pnas0510013103

Glick BR 1995 Metabolic load and heterologous gene expression Biotechnol Adv 13247ndash261

Guazzaroni M-E Herbst F-A Lores I Tamames J Pelaacuteez AI Loacutepez-Corteacutes NAlcaide M Del Pozo MV Vieites JM von Bergen M Gallego JLR BargielaR Loacutepez-Loacutepez A Pieper DH Rosselloacute-Moacutera R Saacutenchez J Seifert J FerrerM 2013 Metaproteogenomic insights beyond bacterial response to naphthaleneexposure and bio-stimulation ISME J 7 122ndash136 httpdxdoiorg101038ismej201282

Gredell JA Frei CS Cirino PC 2012 Protein and RNA engineering to customizemicrobial molecular reporting Biotechnol J 7 477ndash499 httponlinelibrarywileycomdoi101002biot201100266full

Gutierrez T Singleton DR Berry D Yang T Aitken MD Teske A 2013Hydrocarbon-degrading bacteria enriched by the Deepwater Horizon oil spill iden-tified by cultivation and DNA-SIP ISME J 7 2091ndash2104 httpdxdoiorg101038ismej201398

Hadadi N Hafner J Shajkofci A Zisaki A Hatzimanikatis V 2016 ATLAS ofbiochemistry a repository of all possible biochemical reactions for synthetic biologyand metabolic engineering studies ACS Synth Biol 5 1155ndash1166 httpdxdoiorg101021acssynbio6b00054

Haro MA de Lorenzo V 2001 Metabolic engineering of bacteria for environmentalapplications construction of Pseudomonas strains for biodegradation of 2-chlor-otoluene J Biotechnol 85 103ndash113

Hatzimanikatis V Li C Ionita JA Henry CS Jankowski MD Broadbelt LJ2005 Exploring the diversity of complex metabolic networks Bioinforma Oxf Engl21 1603ndash1609 httpdxdoiorg101093bioinformaticsbti213

He W Yuan S Zhong W-H Siddikee MA Dai C-C 2016 Application of geneti-cally engineered microbial whole-cell biosensors for combined chemosensing ApplMicrobiol Biotechnol 100 1109ndash1119 httpdxdoiorg101007s00253-015-7160-6

Hennig S Roumldel G Ostermann K 2015 Artificial cell-cell communication as anemerging tool in synthetic biology applications J Biol Eng 9 13 httpdxdoiorg101186s13036-015-0011-2

Hicks N Vik U Taylor P Ladoukakis E Park J Kolisis F Jakobsen KS 2017Using prokaryotes for carbon capture storage Trends Biotechnol 35 22ndash32 httpdxdoiorg101016jtibtech201606011

Hodgman CE Jewett MC 2012 Cell-free synthetic biology thinking outside the cellMetab Eng 14 261ndash269 httpdxdoiorg101016jymben201109002

Huang P-S Boyken SE Baker D 2016 The coming of age of de novo protein designNature 537 320ndash327 httpdxdoiorg101038nature19946

Hutchison CA Chuang R-Y Noskov VN Assad-Garcia N Deerinck TJ EllismanMH Gill J Kannan K Karas BJ Ma L Pelletier JF Qi Z-Q Richter RAStrychalski EA Sun L Suzuki Y Tsvetanova B Wise KS Smith HO GlassJI Merryman C Gibson DG Venter JC 2016 Design and synthesis of aminimal bacterial genome Science 351 aad6253 httpdxdoiorg101126

scienceaad6253Iwakiri R Yoshihira K Ngadiman Null Futagami T Goto M Furukawa K 2004

Total degradation of pentachloroethane by an engineered Alcaligenes strain expres-sing a modified camphor monooxygenase and a hybrid dioxygenase BiosciBiotechnol Biochem 68 1353ndash1356 httpdxdoiorg101271bbb681353

Izallalen M Mahadevan R Burgard A Postier B Didonato R Sun J SchillingCH Lovley DR 2008 Geobacter sulfurreducens strain engineered for increasedrates of respiration Metab Eng 10 267ndash275 httpdxdoiorg101016jymben200806005

Janssen DB Dinkla IJT Poelarends GJ Terpstra P 2005 Bacterial degradation ofxenobiotic compounds evolution and distribution of novel enzyme activitiesEnviron Microbiol 7 1868ndash1882 httpdxdoiorg101111j1462-2920200500966x

Kanehisa M Goto S Sato Y Kawashima M Furumichi M Tanabe M 2014 Datainformation knowledge and principle back to metabolism in KEGG Nucleic AcidsRes 42 D199ndash205 httpdxdoiorg101093nargkt1076

Karig DK 2017 Cell-free synthetic biology for environmental sensing and remediationCurr Opin Biotechnol 45 69ndash75 httpdxdoiorg101016jcopbio201701010

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Khersonsky O Tawfik DS 2010 Enzyme promiscuity a mechanistic and evolutionaryperspective Annu Rev Biochem 79 471ndash505 httpdxdoiorg101146annurev-biochem-030409-143718

Kim J Copley SD 2012 Inhibitory cross-talk upon introduction of a new metabolicpathway into an existing metabolic network Proc Natl Acad Sci U S A 109E2856ndash2864 httpdxdoiorg101073pnas1208509109

Kim S Baek S-H Lee K Hahn J-S 2013a Cellulosic ethanol production using ayeast consortium displaying a minicellulosome and β-glucosidase Microb CellFactories 12 14 httpdxdoiorg1011861475-2859-12-14

Kim J Oliveros JC Nikel PI de Lorenzo V Silva-Rocha R 2013b Transcriptomicfingerprinting of Pseudomonas putida under alternative physiological regimesEnviron Microbiol Rep 5 883ndash891 httpdxdoiorg1011111758-222912090

Kim S Thiessen PA Bolton EE Chen J Fu G Gindulyte A Han L He J He SShoemaker BA Wang J Yu B Zhang J Bryant SH 2016 PubChem substanceand compound databases Nucleic Acids Res 44 D1202ndash1213 httpdxdoiorg101093nargkv951

King ZA Lloyd CJ Feist AM Palsson BO 2015 Next-generation genome-scalemodels for metabolic engineering Curr Opin Biotechnol 35 23ndash29 httpdxdoiorg101016jcopbio201412016

Kleinstiver BP Pattanayak V Prew MS Tsai SQ Nguyen NT Zheng Z JoungJK 2016 High-fidelity CRISPR-Cas9 nucleases with no detectable genome-wide off-target effects Nature 529 490ndash495 httpdxdoiorg101038nature16526

Kosuri S Church GM 2014 Large-scale de novo DNA synthesis technologies andapplications Nat Methods 11 499ndash507 httpdxdoiorg101038nmeth2918

Koutinas AA Vlysidis A Pleissner D Kopsahelis N Lopez Garcia I Kookos IKPapanikolaou S Kwan TH Lin CSK 2014 Valorization of industrial waste andby-product streams via fermentation for the production of chemicals and biopoly-mers Chem Soc Rev 43 2587ndash2627 httpdxdoiorg101039c3cs60293a

Krewski D Andersen ME Mantus E Zeise L 2009 Toxicity testing in the 21stcentury implications for human health risk assessment Risk Anal 29 474ndash479httpdxdoiorg101111j1539-6924200801150x

Kube M Chernikova TN Al-Ramahi Y Beloqui A Lopez-Cortez N Guazzaroni M-E Heipieper HJ Klages S Kotsyurbenko OR Langer I Nechitaylo TYLuumlnsdorf H Fernaacutendez M Juaacuterez S Ciordia S Singer A Kagan O Egorova OPetit PA Stogios P Kim Y Tchigvintsev A Flick R Denaro R Genovese MAlbar JP Reva ON Martiacutenez-Gomariz M Tran H Ferrer M Savchenko AYakunin AF Yakimov MM Golyshina OV Reinhardt R Golyshin PN 2013Genome sequence and functional genomic analysis of the oil-degrading bacteriumOleispira antarctica Nat Commun 4 2156 httpdxdoiorg101038ncomms3156

Kuipers RK Joosten H-J van Berkel WJH Leferink NGH Rooijen E IttmannE van Zimmeren F Jochens H Bornscheuer U Vriend G dos Santos VAPMSchaap PJ 2010 3DM systematic analysis of heterogeneous superfamily data todiscover protein functionalities Proteins 78 2101ndash2113 httpdxdoiorg101002prot22725

Kurumbang NP Dvorak P Bendl J Brezovsky J Prokop Z Damborsky J 2014Computer-assisted engineering of the synthetic pathway for biodegradation of a toxicpersistent pollutant ACS Synth Biol 3 172ndash181 httpdxdoiorg101021sb400147n

Latino DARS Wicker J Guumltlein M Schmid E Kramer S Fenner K 2017 Eawag-Soil in enviPath a new resource for exploring regulatory pesticide soil biodegrada-tion pathways and half-life data Environ Sci Processes Impacts 19 449ndash464httpdxdoiorg101039c6em00697c

Lee J Cao L Ow SY Barrios-Llerena ME Chen W Wood TK Wright PC 2006Proteome changes after metabolic engineering to enhance aerobic mineralization ofcis‑12-dichloroethylene J Proteome Res 5 1388ndash1397 httpdxdoiorg101021pr060008t

Lee JW Na D Park JM Lee J Choi S Lee SY 2012 Systems metabolic en-gineering of microorganisms for natural and non-natural chemicals Nat Chem Biol8 536ndash546 httpdxdoiorg101038nchembio970

Lehrbach PR Zeyer J Reineke W Knackmuss HJ Timmis KN 1984 Enzymerecruitment in vitro use of cloned genes to extend the range of haloaromatics de-graded by Pseudomonas sp strain B13 J Bacteriol 158 1025ndash1032

Li G-Q Ma T Li S-S Li H Liang F-L Liu R-L 2007 Improvement of di-benzothiophene desulfurization activity by removing the gene overlap in the dsz

P Dvořaacutek et al Biotechnology Advances 35 (2017) 845ndash866

863

operon Biosci Biotechnol Biochem 71 849ndash854 httpdxdoiorg101271bbb60189

Li Z Yoshida N Wang A Nan J Liang B Zhang C Zhang D Suzuki D Zhou XXiao Z Katayama A 2015 Anaerobic mineralization of 246-tribromophenol toCO2 by a synthetic microbial community comprising Clostridium Dehalobacter andDesulfatiglans Bioresour Technol 176 225ndash232 httpdxdoiorg101016jbiortech201410097

Libis V Deleacutepine B Faulon J-L 2016 Expanding biosensing abilities through com-puter-aided design of metabolic pathways ACS Synth Biol 5 1076ndash1085 httpdxdoiorg101021acssynbio5b00225

Liss M Daubert D Brunner K Kliche K Hammes U Leiherer A Wagner R 2012Embedding permanent watermarks in synthetic genes PLoS One 7 e42465 httpdxdoiorg101371journalpone0042465

Litchfield C 2005 Thirty years and counting bioremediation in its prime Bioscience55 273ndash279 httpdxdoiorg1016410006-3568(2005)055[0273TYACBI]20CO2

Liu X Germaine KJ Ryan D Dowling DN 2010 Genetically modifiedPseudomonas biosensing biodegraders to detect PCB and chlorobenzoate bioavail-ability and biodegradation in contaminated soils Bioeng Bugs 1 198ndash206 httpdxdoiorg104161bbug1312443

Liu J Tan L Wang J Wang Z Ni H Li L 2016 Complete biodegradation ofchlorpyrifos by engineered Pseudomonas putida cells expressing surface-immobilizedlaccases Chemosphere 157 200ndash207 httpdxdoiorg101016jchemosphere201605031

Loeschcke A Markert A Wilhelm S Wirtz A Rosenau F Jaeger K-E Drepper T2013 TREX a universal tool for the transfer and expression of biosynthetic pathwaysin bacteria ACS Synth Biol 2 22ndash33 httpdxdoiorg101021sb3000657

Long MR Ong WK Reed JL 2015 Computational methods in metabolic en-gineering for strain design Curr Opin Biotechnol 34 135ndash141 httpdxdoiorg101016jcopbio201412019

Lorenzo V Loza-Tavera H 2011 Microbial bioremediation of chemical pollutants howbacteria cope with multi-stress environmental scenarios In Storz G Hengge R(Eds) Bacterial Stress Responses Second edition ASM Press Washington DC pp481ndash492 httpdxdoiorg1011289781555816841ch30

Lovley DR Phillips EJP Gorby YA Landa ER 1991 Microbial reduction of ur-anium Nature 350 413ndash416 httpdxdoiorg101038350413a0

Lykidis A Peacuterez-Pantoja D Ledger T Mavromatis K Anderson IJ Ivanova NNHooper SD Lapidus A Lucas S Gonzaacutelez B Kyrpides NC 2010 The completemultipartite genome sequence of Cupriavidus necator JMP134 a versatile pollutantdegrader PLoS One 5 e9729 httpdxdoiorg101371journalpone0009729

Marathe NP Pal C Gaikwad SS Jonsson V Kristiansson E Larsson DGJ 2017Untreated urban waste contaminates Indian river sediments with resistance genes tolast resort antibiotics Water Res 124 388ndash397 httpdxdoiorg101016jwatres201707060

Martiacutenez I Mohamed ME-S Rozas D Garciacutea JL Diacuteaz E 2016 Engineering syn-thetic bacterial consortia for enhanced desulfurization and revalorization of oil sulfurcompounds Metab Eng 35 46ndash54 httpdxdoiorg101016jymben201601005

Martiacutenez-Garciacutea E de Lorenzo V 2012 Transposon-based and plasmid-based genetictools for editing genomes of gram-negative bacteria Methods Mol Biol 813267ndash283 (Clifton NJ) httpdxdoiorg101007978-1-61779-412-4_16

Martiacutenez-Garciacutea E de Lorenzo V 2016 The quest for the minimal bacterial genomeCurr Opin Biotechnol 42 216ndash224 httpdxdoiorg101016jcopbio201609001

Martiacutenez-Garciacutea E Aparicio T de Lorenzo V Nikel PI 2014a New transposon toolstailored for metabolic engineering of gram-negative microbial cell factories FrontBioeng Biotechnol 2 46 httpdxdoiorg103389fbioe201400046

Martiacutenez-Garciacutea E Nikel PI Aparicio T de Lorenzo V 2014b Pseudomonas 20genetic upgrading of P putida KT2440 as an enhanced host for heterologous geneexpression Microb Cell Factories 13 159 httpdxdoiorg101186s12934-014-0159-3

Martiacutenez-Garciacutea E Aparicio T Gontildei-Moreno A Fraile S de Lorenzo V 2015 SEVA20 an update of the Standard European Vector Architecture for de-re-constructionof bacterial functionalities Nucleic Acids Res 43 D1183ndash1189 httpdxdoiorg101093nargku1114

Meckenstock RU Elsner M Griebler C Lueders T Stumpp C Aamand J AgathosSN Albrechtsen H-J Bastiaens L Bjerg PL Boon N Dejonghe W HuangWE Schmidt SI Smolders E Soslashrensen SR Springael D van Breukelen BM2015 Biodegradation updating the concepts of control for microbial cleanup incontaminated aquifers Environ Sci Technol 49 7073ndash7081 httpdxdoiorg101021acsest5b00715

Medema MH van Raaphorst R Takano E Breitling R 2012 Computational tools forthe synthetic design of biochemical pathways Nat Rev Microbiol 10 191ndash202httpdxdoiorg101038nrmicro2717

Mendes P Hoops S Sahle S Gauges R Dada J Kummer U 2009 Computationalmodeling of biochemical networks using COPASI Methods Mol Biol 500 17ndash59(Clifton NJ) httpdxdoiorg101007978-1-59745-525-1_2

Minty JJ Singer ME Scholz SA Bae C-H Ahn J-H Foster CE Liao JC LinXN 2013 Design and characterization of synthetic fungal-bacterial consortia fordirect production of isobutanol from cellulosic biomass Proc Natl Acad Sci U S A110 14592ndash14597 httpdxdoiorg101073pnas1218447110

Moraiumls S Shterzer N Lamed R Bayer EA Mizrahi I 2014 A combined cell-con-sortium approach for lignocellulose degradation by specialized Lactobacillus plan-tarum cells Biotechnol Biofuels 7 112 httpdxdoiorg1011861754-6834-7-112

Morgat A Axelsen KB Lombardot T Alcaacutentara R Aimo L Zerara M Niknejad A

Belda E Hyka-Nouspikel N Coudert E Redaschi N Bougueleret L SteinbeckC Xenarios I Bridge A 2015 Updates in Rheamdasha manually curated resource ofbiochemical reactions Nucleic Acids Res 43 D459ndash464 httpdxdoiorg101093nargku961

Mulbry W Ahrens E Karns J 1998 Use of a field-scale biofilter for the degradation ofthe organophosphate insecticide coumaphos in cattle dip wastes Pestic Sci 52268ndash274 httpdxdoiorg101002(SICI)1096-9063(199803)523lt268AID-PS719gt30CO2-2

Muschiol J Peters C Oberleitner N Mihovilovic MD Bornscheuer UT Rudroff F2015 Cascade catalysismdashstrategies and challenges en route to preparative syntheticbiology Chem Commun (Camb) 51 5798ndash5811 httpdxdoiorg101039c4cc08752f

Mutlu BR Yeom S Wackett L Aksan A 2015 Modelling and optimization of abioremediation system utilizing silica gel encapsulated whole-cell biocatalyst ChemEng J 259 574ndash580 httpdxdoiorg101016jcej201407130

Nakatsu CH Korona R Lenski RE de Bruijn FJ Marsh TL Forney LJ 1998Parallel and divergent genotypic evolution in experimental populations of Ralstoniasp J Bacteriol 180 4325ndash4331

Nancharaiah YV Mohan SV Lens PNL 2016 Biological and bioelectrochemicalrecovery of critical and scarce metals Trends Biotechnol 34 137ndash155 httpdxdoiorg101016jtibtech201511003

Nelson KE Weinel C Paulsen IT Dodson RJ Hilbert H Martins dos SantosVAP Fouts DE Gill SR Pop M Holmes M Brinkac L Beanan M DeBoyRT Daugherty S Kolonay J Madupu R Nelson W White O Peterson JKhouri H Hance I Chris Lee P Holtzapple E Scanlan D Tran K Moazzez AUtterback T Rizzo M Lee K Kosack D Moestl D Wedler H Lauber JStjepandic D Hoheisel J Straetz M Heim S Kiewitz C Eisen JA TimmisKN Duumlsterhoumlft A Tuumlmmler B Fraser CM 2002 Complete genome sequenceand comparative analysis of the metabolically versatile Pseudomonas putida KT2440Environ Microbiol 4 799ndash808

Nicolaou SA Gaida SM Papoutsakis ET 2010 A comparative view of metaboliteand substrate stress and tolerance in microbial bioprocessing from biofuels andchemicals to biocatalysis and bioremediation Metab Eng 12 307ndash331 httpdxdoiorg101016jymben201003004

Nielsen J Fussenegger M Keasling J Lee SY Liao JC Prather K Palsson B2014 Engineering synergy in biotechnology Nat Chem Biol 10 319ndash322 httpdxdoiorg101038nchembio1519

Nielsen AAK Der BS Shin J Vaidyanathan P Paralanov V Strychalski EARoss D Densmore D Voigt CA 2016 Genetic circuit design automation Science352 aac7341 httpdxdoiorg101126scienceaac7341

Nikel PI de Lorenzo V 2013 Engineering an anaerobic metabolic regime inPseudomonas putida KT2440 for the anoxic biodegradation of 13-dichloroprop-1-eneMetab Eng 15 98ndash112 httpdxdoiorg101016jymben201209006

Nikel PI Peacuterez-Pantoja D de Lorenzo V 2013 Why are chlorinated pollutants sodifficult to degrade aerobically Redox stress limits 13-dichloroprop-1-ene metabo-lism by Pseudomonas pavonaceae Philos Trans R Soc Lond Ser B Biol Sci 36820120377 httpdxdoiorg101098rstb20120377

Nikel PI Martiacutenez-Garciacutea E de Lorenzo V 2014 Biotechnological domestication ofpseudomonads using synthetic biology Nat Rev Microbiol 12 368ndash379 httpdxdoiorg101038nrmicro3253

Nikel PI Chavarriacutea M Fuhrer T Sauer U de Lorenzo V 2015 Pseudomonas putidaKT2440 strain metabolizes glucose through a cycle formed by enzymes of the Entner-Doudoroff Embden-Meyerhof-Parnas and pentose phosphate pathways J BiolChem 290 25920ndash25932 httpdxdoiorg101074jbcM115687749

Nikel PI Chavarriacutea M Danchin A de Lorenzo V 2016a From dirt to industrialapplications Pseudomonas putida as a synthetic biology chassis for hosting harshbiochemical reactions Curr Opin Chem Biol 34 20ndash29 httpdxdoiorg101016jcbpa201605011

Nikel PI Peacuterez-Pantoja D de Lorenzo V 2016b Pyridine nucleotide transhy-drogenases enable redox balance of Pseudomonas putida during biodegradation ofaromatic compounds Environ Microbiol 18 3565ndash3582 httpdxdoiorg1011111462-292013434

Nyerges Aacute Csoumlrgő B Nagy I Baacutelint B Bihari P Laacutezaacuter V Apjok G UmenhofferK Bogos B Poacutesfai G Paacutel C 2016 A highly precise and portable genome en-gineering method allows comparison of mutational effects across bacterial speciesProc Natl Acad Sci U S A 113 2502ndash2507 httpdxdoiorg101073pnas1520040113

Ohtsubo Y Maruyama F Mitsui H Nagata Y Tsuda M 2012 Complete genomesequence of Acidovorax sp strain KKS102 a polychlorinated-biphenyl degrader JBacteriol 194 6970ndash6971 httpdxdoiorg101128JB01848-12

Oide S Gunji W Moteki Y Yamamoto S Suda M Jojima T Yukawa H Inui M2015 Thermal and solvent stress cross-tolerance conferred to Corynebacterium glu-tamicum by adaptive laboratory evolution Appl Environ Microbiol 81 2284ndash2298httpdxdoiorg101128AEM03973-14

Oosterkamp MJ Veuskens T Talarico Saia F Weelink SAB Goodwin LADaligault HE Bruce DC Detter JC Tapia R Han CS Land ML Hauser LJLangenhoff AAM Gerritse J van Berkel WJH Pieper DH Junca H SmidtH Schraa G Davids M Schaap PJ Plugge CM Stams AJM 2013 Genomeanalysis and physiological comparison of Alicycliphilus denitrificans strains BC andK601(T) PLoS One 8 e66971 httpdxdoiorg101371journalpone0066971

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Parales RE Ditty JL 2005 Laboratory evolution of catabolic enzymes and pathwaysCurr Opin Biotechnol 16 315ndash325 httpdxdoiorg101016jcopbio200503008

P Dvořaacutek et al Biotechnology Advances 35 (2017) 845ndash866

864

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Sohn SB Kim TY Park JM Lee SY 2010 In silico genome-scale metabolic ana-lysis of Pseudomonas putida KT2440 for polyhydroxyalkanoate synthesis degradationof aromatics and anaerobic survival Biotechnol J 5 739ndash750 httpdxdoiorg101002biot201000124

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van Leeuwen JGE Wijma HJ Floor RJ van der Laan J-M Janssen DB 2012

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Directed evolution strategies for enantiocomplementary haloalkane dehalogenasesfrom chemical waste to enantiopure building blocks Chembiochem Eur J ChemBiol 13 137ndash148 httpdxdoiorg101002cbic201100579

Vilchez-Vargas R Junca H Pieper DH 2010 Metabolic networks microbial ecologyand ldquoomicsrdquo technologies towards understanding in situ biodegradation processesEnviron Microbiol 12 3089ndash3104 httpdxdoiorg101111j1462-2920201002340x

Wang HH Isaacs FJ Carr PA Sun ZZ Xu G Forest CR Church GM 2009Programming cells by multiplex genome engineering and accelerated evolutionNature 460 894ndash898 httpdxdoiorg101038nature08187

Wang B Kitney RI Joly N Buck M 2011 Engineering modular and orthogonalgenetic logic gates for robust digital-like synthetic biology Nat Commun 2 508httpdxdoiorg101038ncomms1516

Wang K Schmied WH Chin JW 2012 Reprogramming the genetic code from tri-plet to quadruplet codes Angew Chem Int Ed Eng 51 2288ndash2297 httpdxdoiorg101002anie201105016

Wang B Barahona M Buck M 2013 A modular cell-based biosensor using engineeredgenetic logic circuits to detect and integrate multiple environmental signals BiosensBioelectron 40 368ndash376 httpdxdoiorg101016jbios201208011

Wang L Xue C Wang L Zhao Q Wei W Sun Y 2016 Strain improvement ofChlorella sp for phenol biodegradation by adaptive laboratory evolution BioresourTechnol 205 264ndash268 httpdxdoiorg101016jbiortech201601022

Wei R Oeser T Schmidt J Meier R Barth M Then J Zimmermann W 2016Engineered bacterial polyester hydrolases efficiently degrade polyethylene ter-ephthalate due to relieved product inhibition Biotechnol Bioeng 113 1658ndash1665httpdxdoiorg101002bit25941

Wibberg D Bremges A Dammann-Kalinowski T Maus I Igentildeo MI Vogelsang RKoumlnig C Luque-Almagro VM Roldaacuten MD Sczyrba A Moreno-Viviaacuten CBlasco R Puumlhler A Schluumlter A 2016 Finished genome sequence and methylomeof the cyanide-degrading Pseudomonas pseudoalcaligenes strain CECT5344 as resolvedby single-molecule real-time sequencing J Biotechnol 232 61ndash68 httpdxdoiorg101016jjbiotec201604008

Wicker J Lorsbach T Guumltlein M Schmid E Latino D Kramer S Fenner K 2016enviPathmdashthe environmental contaminant biotransformation pathway resourceNucleic Acids Res 44 D502ndash508 httpdxdoiorg101093nargkv1229

Wierckx N Prieto MA Pomposiello P de Lorenzo V OConnor K Blank LM2015 Plastic waste as a novel substrate for industrial biotechnology MicrobBiotechnol 8 900ndash903 httpdxdoiorg1011111751-791512312

Wigginton N Yeston J Malakoff D 2012 Working with waste More treasure thantrash Introduction Science 337 662ndash663 httpdxdoiorg101126science3376095662

Winsor GL Griffiths EJ Lo R Dhillon BK Shay JA Brinkman FSL 2016Enhanced annotations and features for comparing thousands of Pseudomonas gen-omes in the Pseudomonas genome database Nucleic Acids Res 44 D646ndash653httpdxdoiorg101093nargkv1227

Wittich R-M Wolff P 2007 Growth of the genetically engineered strain Cupriavidusnecator RW112 with chlorobenzoates and technical chlorobiphenyls Microbiology153 186ndash195 httpdxdoiorg101099mic029096-0

Wittich R-M van Dillewijn P Ramos JL 2010 Rational construction of bacterialstrains with newimproved catabolic capabilities for the efficient breakdown of en-vironmental pollutants In Timmis KN (Ed) Handbook of Hydrocarbon and LipidMicrobiology Springer Berlin Heidelberg pp 1247ndash1254

Wolfaardt GM Lawrence JR Robarts RD Caldwell SJ Caldwell DE 1994Multicellular organization in a degradative biofilm community Appl EnvironMicrobiol 60 434ndash446

Wu G Yan Q Jones JA Tang YJ Fong SS Koffas MAG 2016 Metabolicburden cornerstones in synthetic biology and metabolic engineering applicationsTrends Biotechnol 34 652ndash664 httpdxdoiorg101016jtibtech201602010

Xu P Vansiri A Bhan N Koffas MAG 2012 ePathBrick a synthetic biology plat-form for engineering metabolic pathways in E coli ACS Synth Biol 1 256ndash266httpdxdoiorg101021sb300016b

Yadid I Rudolph J Hlouchova K Copley SD 2013 Sequestration of a highly re-active intermediate in an evolving pathway for degradation of pentachlorophenolProc Natl Acad Sci U S A 110 E2182ndash2190 httpdxdoiorg101073pnas1214052110

Yang J Liu R Jiang H Yang Y Qiao C 2012 Selection of a whole-cell biocatalystfor methyl parathion biodegradation Appl Microbiol Biotechnol 95 1625ndash1632httpdxdoiorg101007s00253-011-3792-3

Yang Y Yang J Jiang L 2016 Comment on A bacterium that degrades and assim-ilates poly(ethylene terephthalate) Science 353 759 httpdxdoiorg101126scienceaaf8305

Yoshida S Hiraga K Takehana T Taniguchi I Yamaji H Maeda Y Toyohara KMiyamoto K Kimura Y Oda K 2016a A bacterium that degrades and assimilatespoly(ethylene terephthalate) Science 351 1196ndash1199 httpdxdoiorg101126scienceaad6359

Yoshida S Hiraga K Takehana T Taniguchi I Yamaji H Maeda Y Toyohara KMiyamoto K Kimura Y Oda K 2016b Response to comment on A bacterium thatdegrades and assimilates poly(ethylene terephthalate) Science 353 759 httpdxdoiorg101126scienceaaf8625

Zobel S Benedetti I Eisenbach L de Lorenzo V Wierckx N Blank LM 2015 Tn7-based device for calibrated heterologous gene expression in Pseudomonas putida ACSSynth Biol 4 1341ndash1351 httpdxdoiorg101021acssynbio5b00058

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P Dvořaacutek et al Biotechnology Advances 35 (2017) 845ndash866

866

  • Bioremediation 30 Engineering pollutant-removing bacteria in the times of systemic biology
    • Introduction
    • Approaches and tools of systems biology and metabolic engineering for tailoring biodegradation pathways
      • Step 1 get to know the contaminant and find a suitable catabolic pathway
        • Databases
        • Pathway prediction systems and toxicity prediction algorithms
        • Detection and quantification of pathway building blocks
          • Step 2 select and get to know a suitable microbial host
            • Omics techniques in studies of bacterial degraders
              • Step 3 build the pathway and optimize its performance in the context of host metabolism
                • Computational tools for pathway and strain optimization
                • Experimental tools for pathway and strain optimization
                • Protein engineering to eliminate bottlenecks of biodegradation pathways
                    • Synthetic biology approaches and tools for biodegradation pathway engineering
                      • Development of robust microbial chassis for biodegradation of toxic chemicals
                      • Development of synthetic microbial consortia for enhanced biodegradation and bioremediation of pollutants
                      • Development of orthogonal systems in bacteria to enhance pollutant biodegradation and bioremediation
                      • Engineering microbial biodegradation pathways in vitro
                        • Towards planet-wide bioremediation interventions CO2 capture as a large-scale challenge
                        • Conclusions and perspectives
                        • Acknowledgements
                        • References
                        • Web references
Page 15: Bioremediation 3.0 Engineering pollutant-removing bacteria ... · biology, metabolic engineering, and synthetic biology, for the sake of understanding and reprograming biological

via synthetic protein or DNA scaffolds that reduce diffusion of pathwayintermediates and promote substrate channeling (Siu et al 2015) Al-ternatively biocatalysts can be precipitated and covalently inter-connected in cross-linked enzyme aggregate particles (Sheldon 2011)this method was applied successfully to synthesize toxic nucleotideanalogues by an immobilized five-enzyme synthetic pathway (Scismand Bachmann 2010) The biochemical route described was completedwith functional ATP regeneration which demonstrates that in vitrotechnologies can cope with another possible drawback ndash limited co-factor recycling

Thus far mainly single immobilized enzymes or whole-cell bioca-talysts have been exploited in biotechnological processes intended toremove polluting chemicals such as polyethylene terephthalate 24-dinitrophenol atrazine or inorganic nitrates (Barth et al 2016Dehghanifard et al 2013 Mutlu et al 2015 Troumlgl et al 2012) In vitroassays with cell-free extracts or purified enzymes respectively helpedto identify an unknown anaerobic pathway for complete phthalatedegradation to CO2 in Thauera chlorobenzoica 3CB-1 or to decipher se-questration of the highly toxic intermediate tetrachlorobenzoquinone inpentachlorophenol degradation pathway in Sphingobium chlor-ophenolicum (Ebenau-Jehle et al 2017 Yadid et al 2013) Geuekeet al showed the benefits of an in vitro engineering approach in themodel of γ-HCH biodegradation pathway (Geueke et al 2013) Theyused a system of two purified enzymes the dehydrochlorinase LinA andthe haloalkane dehalogenase LinB which initiate biotransformation ofγ-HCH a prohibited insecticide They separately incubated five isomersthat form technical HCH (which used to be applied frequently instead ofpure γ-HCH) with various LinALinB ratios and determined metabolicprofiles of sequential biotransformations Analyses of these profileshelped determine the environmental fate of HCH isomers and showedthat the original HCH degradation pathway is optimized by evolutionfor γ-HCH but not for other isomers that co-pollute contaminated sites

The first report of in vitro assembly of a fully functional syntheticbiodegradation pathway was published by Dvorak and co-workers(Dvorak et al 2014a) The authors adopted the cell-free strategy usingimmobilized engineered haloalkane dehalogenase DhaA31 halohydrindehalogenase HheC and epoxide hydrolase EchA for TCP bio-transformation to harmless valuable glycerol in contaminated water(Fig 6D) The practical utility of bacterial recombinants that mineralizeTCP (desccribed in Sections 231 and 232) is limited by substratetoxicity and by legislative barriers on the application of GMO(Kurumbang et al 2014 Samin et al 2014) Probing the function ofthe pathway in in vitro conditions therefore lied ready to hand Theauthors successfully immobilized the pathway in the form of purifiedenzymes or cell-free extracts in cross-linked enzyme aggregates andlens-shaped polyvinyl alcohol particles The immobilized pathwayshowed almost the same efficiency of TCP-to-glycerol conversion asmixture of free enzymes Physicochemical properties of polyvinyl al-cohol lentils allowed recovery from the reaction mixture and recyclingof the pathway In addition the immobilized enzymes retainedgt 50of their initial activities for over 2 months of continuous operation in abench-top packed bed reactor The study indicated that the im-mobilized route removes TCP from heavily contaminated water with apollutant concentration (~1 gL) that would be detrimental to theliving degraders One can anticipate that such conversions of toxic TCPto useful glycerol could even pave the way for prospective valorizationof this waste chemical

Although this biotechnology requires further validation and tuningthe work showed that in vitro assembly of natural or synthetic enzy-matic pathways with engineered enzymes is a promising concept for thebiodegradation of polluting compounds and toxic industrial wasteproducts Transport of such pathways via non-live carriers is relatedconceptually to efforts to produce and release complex therapeuticagents for human use In both cases their application demands thedevelopment of a sort of environmental Galenic science that enablessupply of the engineered biological remedy when and where needed

4 Towards planet-wide bioremediation interventions CO2

capture as a large-scale challenge

Environmental deterioration due to emissions of recalcitrant che-micals seems to pale when compared to the problem of global warmingcaused by the release of greenhouse gases that originate in human ac-tivities The bulk of these gases comprise four natural molecules carbondioxide (CO2) methane (CH4) nitrous oxide (N2O) and ozone (O3) aswell as one class of xenobiotics the chlorofluorocarbons or CFC Giventhe diluted aereal and global nature of this problem the strategiescontemplated for tackling these chemical species differ considerablyfrom those that centre on site-specific pollution issues Most proposalsthus far focus much more on reducing emissions than on capture andreturning to innocuous chemical or mineral forms All these compoundshave their own natural biogeochemical cycle and in theory simplyreducing their input into the biosphere should restore the originalequilibrium (Rockstroumlm et al 2017) Recent ecological thought none-theless postulates that the impact of climate change in many ecosystemsis already irreversible by natural means and call for large-scale inter-ventions that could help to resolve this impasse (de Lorenzo et al2016) In this case what types of options could be considered from asystemic biology perspective

Some incipient attempts have appeared recently mostly in the fieldof engineering bacteria with a greater capacity for non-photosyntheticfixing of CO2 (Erb and Zarzycki 2016) One option is to use the sixalternative pathways of autotrophic carbon fixation known in nature(Fuchs 2011 Hicks et al 2017) as a starting point to optimize suchnatural processes Another possibilty is the invention of new routes byrewiring or modifying existing enzymes in a new configuration A re-markable example of this solution is the work of Antonovsky et al(2016) who showed that combining metabolic rewiring recombinantprotein expression and laboratory evolution enables the production ofsugars and other biomass constituents by a fully functional Calvin-Benson-Bassham (CBB) cycle in E coli In the bacteria designed in thisway carbon is fixed via a refactored CBB cycle whereas reducingpower and energy are derived from pyruvate oxidation (Fig 7) It isinteresting to note how evolutionary approaches adjust fluxes andgenerate connections between the designed CBB cycle and the hostbiochemical network that cannot be predicted or designed

A separate approach was recently developed by Schwander et al(2016) who developed a synthetic route for continuous CO2 fixation invitro by composing a cycle formed of 17 enzymes that convert CO2 intoorganic molecules The cycle was draughted by metabolic retro-synthesis with enzymes from nine organisms from three domains of lifefurther optimized through rounds of protein engineering and metabolicproofreading Although this completely designed pathway has not yetbeen implemented in vivo (eg in a bacterial carrier) it is a question oftime until it is done and propagated throughout an entire microbialcommunity (de Lorenzo et al 2016)

Finally todays systemic approaches enable the invention of en-zymes from scratch through de novo protein design followed by directedevolution which opens perspectives for improving the natural state ofaffairs regarding fixation of CO2 (and other greenhouse gases) as well asvalorization of this waste as biotechnological feedstocks (Huang et al2016 Renata et al 2015) A separate matter is the large-scale de-ployment of the microbial agents for CO2 retrieval Existing technologyallows their implementation in biofilters and bioreactors that captureemissions at source But how can we spread such desirable catalyticproperties at a very large even at planetary level to make a differenceSuch technologies are not yet availablemdashlet alone that they raise a largenumber of safety questions But they must necessarily be developed ifwe are not just to control greenhouse gas discharges but also aim attheir eventual reduction to pre-industrial levels (de Lorenzo et al2016)

Unfortunately greenhouse gases are not the only globally wide-spread molecules to be concerned about Much before global warming

P Dvořaacutek et al Biotechnology Advances 35 (2017) 845ndash866

859

associated to CO2 emissions became so conspicuous widespread pol-lution by endocrine disruptors (eg alkylphenols bisphenols DDTPCBs polybrominated diphenyl ethers phthalates and per-fluorooctanoic acid) was well documented Moreover other silent pol-lutants originate in the pharmaceutical industry eg antibiotics(Marathe et al 2017) and hormones They end up in a large variety ofecosystems in a diluted but still active form Finally plastics (egpolycarbonate polystyrene polyethylene terephthalate lowhigh-density polyethylene polypropylene and polyvinyl chloride) are cur-rently receiving a considerable focus as a major environmental pro-blem A number of microbial strains able to totally or partially act uponthese compounds have been isolated (see above) but in general thebiodegradation process is very slow The global nature of these types ofpollution thus requires the development of new efficient microbialpathways for their elimination quite a challenge for contemporarysynthetic biologists and metabolic engineers (de Lorenzo 2017)Butmdashas is the case for CO2 capture mentioned abovemdashpathways andhosts able to deploy them are not enough Effective strategies for globaldispersion of biodegradative activities of interest are badly nee-dedmdashperhaps inspired in gene drives or some type of self-propagatingmassive horizontal gene transfer (de Lorenzo et al 2016)

5 Conclusions and perspectives

The practical examples described in the preceding sections showthat technologies of systemic biology offer promise not only for therenaissance of bioremediation using anthropogenically enhanced mi-crobial degraders but also for entry to the new era of Bioremediation30 The bottlenecks described at the beginning of this text are one byone being released or removed with the help of new computational andexperimental tools Databases and pathway prediction systems help the

user to select suitable chemically and energetically feasible traits fordesired tasks Multi-omic analyses provide valuable information thatfacilitates choice of a suitable host Genome-scale and kinetic modelsapplied hand-in-hand with genetic engineering techniques enable tai-loring of gene expression reduction of metabolic burden and pathwayoptimization in the context of host metabolism The visionary conceptsof synthetic biology and global scale CO2 bioremediation open up newdimensions for engineering microbial degraders General work schemesand standards for design building and fine-tuning of selected bio-chemical routes networks and whole-cell biocatalysts are simulta-neously becoming better defined and accepted by the community

Despite the clear progress over the last decade of biochemical andbiological engineering the vast complexity of the living cell remainsthe major hurdle for any attempt for fully rational pathway design Inthe case of biosensing and biodegradation pathway design and pro-spective applications of the genetically-modified microbes this problemis exacerbated by the complexity of intercellular and interspecific in-teractions and by the still poorly understood interplay between thebiotic and abiotic factors that govern contaminant biodegradation inpolluted ecosystems (de Lorenzo 2008 Meckenstock et al 2015) Weassume that in principle there are two ways to address this challengenow and in future

The first admits that complexity of biological systems will not beresolved anytime soon and thus bets on combining rational designs withnatural evolution at the end of the DBTA cycle thus expanding it toDBTAE (Design-Build-Test-Analyze-Evolve) Adaptive laboratory evo-lution (ALE) is a high calibre tool of this approach ALE is now frequentlyused by academic and industrial laboratories to evolve desired prop-erties in environmental bacteria and for fine-tuning recombinant mi-croorganisms but its principles have been well known since the time ofthe very first attempts to modify microbial phenotypes (Kellogg et al

Fig 7 Hemiautotrophic growth of engineered E coli al-lowed by decoupling energy production and carbon fixa-tion The hemiautotrophic growth was observed after per-forming three distinct steps (i) Calvin-Benson-Bassham(CBB) cycle for the biosynthesis of sugars from CO2 wascompleted by introducing only two exogenous enzymaticactivities phosphoribulokinase (prkA) and RuBisCO (ii)phosphoglycerate mutase genes gpmA and gpmM were de-leted to separate central metabolism into two sub-systemsie a CO2-fixing part that included PrkA RuBisCO upperglycolysis and the pentose phosphate pathway and an en-ergy-supplying module that employed lower glycolysis andthe TCA cycle (iii) the engineered strain bearing furthermutations (ΔpfkA ΔpfkB Δzwf) was exposed to the strongselective pressure towards greater carbon fixation in xylose-limited chemostat with a surplus pyruvate and CO2Emerged mutations made designed CBB cycle functionaland the hemiautotrophic strain that replaced utilisation ofxylose with CO2 fixation dominated the populationFigure adapted from Antonovsky et al (2016)

P Dvořaacutek et al Biotechnology Advances 35 (2017) 845ndash866

860

1981) In biodegradation research exposing microorganisms with de-sirable catabolic traits to the target chemical(s) for prolonged intervalsin chemostat or shaken-flask cultures enabled isolation of bacteria ableto use persistent compounds such as 245-trichlorophenoxyacetic acid(the defoliating Agent Orange) or helped improve atrazine degradationrates by Pseudomonas sp ADP or 24-dichlorophenoxyacetic by Ral-stonia sp TFD41 (Devers et al 2008 Kellogg et al 1981 Nakatsuet al 1998) Nonetheless the potential of ALE in engineering microbialdegraders has yet not been fully exploited ALE will be an ideal tool forempowering rationally pre-designed recombinants with resistance todiverse environmental stresses encountered in directed biodegradationprocesses or in polluted ecosystems (Nicolaou et al 2010 Oide et al2015 Wang et al 2016) When combined with whole-genome se-quencing and reverse engineering ALE as an evolutionary ldquoblindrdquo ap-proach can paradoxically contribute to further rationalizing the field byexposing otherwise unpredictable complex changes in multitrait phe-notypes

The second approach bets on technology without compromise andwill take advantage of continuing technological revolution in biologyand related sciences We recently witnessed the attempt of syntheticbiologists to implement automation as we know it from electronic en-gineering in the design of orthogonal genetic circuits that would co-ordinate the actions of selected microbial chassis (Nielsen et al 2016)The genetic ldquogutsrdquo and pathway enzymes of the chassis can be designedand synthesized de novo or be tailored rapidly with surgical precisionusing new genome editing and protein engineering tools (Huang et al2016 Hutchison et al 2016 Nyerges et al 2016 Ran et al 2013Renata et al 2015) Although the circuit design tools still work pre-dominantly with simple logic gates the robustness and utility of theavailable minimal cells is limited and de novo-designed enzymes havelow activity we can assume that the efficiency reliability and timedemand of such exercises will be further improved by progress incomputer science and artificial intelligence development that couldcrack the complexity of life A purely technological approach wouldomit any unknowns from the DBTA cycle with help of reliable com-putational simulations thus expanding it to DSBTA (Design-Simulate-Build-Test-Analyze) and providing space for construction of whole-cellcatalysts perfectly tailored for specific biodegradation tasks

The challenges of both approaches applied to directed in situ bior-emediation encompass the development of test schemes that will ex-pose engineered organisms to mimicked environmental conditions in-cluding limiting carbon sources lack of oxygen or redox recycling masstransfer perturbations or interspecific predation (Meckenstock et al2015) A critical issue will be the choice and establishment of newchassis organisms better suited to field biotransformations than thecurrently available laboratory strains in terms of resistance to harshconditions including extreme pH temperature osmotic pressure orfluctuating concentrations of toxic chemicals (Adams 2016) Thesenew strains must simultaneously be reliable amenable to genetic ma-nipulation have mapped genomes and ideally metabolic models athand The in situ bioremediation quests will be complicated by thevarying nature of polluting compounds their mixtures and transfor-mation products all of which can be present at a single site (Sarigiannisand Hansen 2012) Future microbial degraders must therefore be de-signed to cope with several problem compounds in parallel and notonly in terms of degradation or mineralization The succesful conver-sion of dangerous contaminants into usable molecules that can be fur-ther valorized by whole-cell or cell-free biocatalysts is a desirablestarting point for the development of new technologies that extendstandard concepts of biodegradation and bioremediation (Dvorak et al2014a Wigginton et al 2012) Microbe-driven trash-to-treasure con-versions are known from established biomass valorization processesbut this concept can also be implemented in wastewater treatmentmetal and plastic recycling or in direct valorization of industrial by-product streams or captured greenhouse gases (Bornscheuer 2016Koutinas et al 2014 Nancharaiah et al 2016 Wierckx et al 2015)

Even so the major challenge to the entire field of engineered de-graders is not related to continued progress in the development of im-proved technologies which is inevitable but rather to the dissemina-tion and popularization of achievements already attained Publicenvironmental concerns and regulatory constraints have not just re-stricted field tests of genetically modified microbes but also affect thequality of fundamental research and by the same token overall pro-gress in the field The exercises described in this review will only have achance to become real enterprises if the general population is inspiredby biotechnology and accepts it as an inseparable part of our dailyroutine as it did for information technology The new systemic dis-ciplines that make life less puzzling as well as emerging do-it-yourselfmovement in biotechnology can undoubtedly contribute to a generalchange of attitude (de Lorenzo and Schmidt 2017) Such change isvital because our ability to minimize production of waste and pollutingchemicals remove existing waste or use it in bioprocesses to formvalue-added compounds will shape the fate of our society on a globalscale

Acknowledgements

PD is the holder of the Marie Sklodowska-Curie grant No 704410(FUTURE) The work in Authors Laboratory was funded by theCAMBIOS Project of the Spanish Ministry of Economy andCompetitiveness RTC-2014-1777-3 (MINECO) HELIOS Project of theSpanish Ministry of Economy and Competitiveness BIO 2015-66960-C3-2-R (MINECOFEDER) and the ARISYS (ERC-2012-ADG-322797)EmPowerPutida (EU-H2020-BIOTEC-2014-2015-6335536) andRaft4Biotech (720776) contracts of the European Union JD is sup-ported also by the Czech Ministry of Education (LQ1605 LO1214LM2015055) and Czech Grant Agency (GA16-06096S) The financialsupport of The Novo Nordisk Foundation to PIN is also gratefully ac-knowledged

References

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Gilbert ES Walker AW Keasling JD 2003 A constructed microbial consortium forbiodegradation of the organophosphorus insecticide parathion Appl MicrobiolBiotechnol 61 77ndash81 httpdxdoiorg101007s00253-002-1203-5

Glass JI Assad-Garcia N Alperovich N Yooseph S Lewis MR Maruf MHutchison CA Smith HO Venter JC 2006 Essential genes of a minimal bac-terium Proc Natl Acad Sci U S A 103 425ndash430 httpdxdoiorg101073pnas0510013103

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Guazzaroni M-E Herbst F-A Lores I Tamames J Pelaacuteez AI Loacutepez-Corteacutes NAlcaide M Del Pozo MV Vieites JM von Bergen M Gallego JLR BargielaR Loacutepez-Loacutepez A Pieper DH Rosselloacute-Moacutera R Saacutenchez J Seifert J FerrerM 2013 Metaproteogenomic insights beyond bacterial response to naphthaleneexposure and bio-stimulation ISME J 7 122ndash136 httpdxdoiorg101038ismej201282

Gredell JA Frei CS Cirino PC 2012 Protein and RNA engineering to customizemicrobial molecular reporting Biotechnol J 7 477ndash499 httponlinelibrarywileycomdoi101002biot201100266full

Gutierrez T Singleton DR Berry D Yang T Aitken MD Teske A 2013Hydrocarbon-degrading bacteria enriched by the Deepwater Horizon oil spill iden-tified by cultivation and DNA-SIP ISME J 7 2091ndash2104 httpdxdoiorg101038ismej201398

Hadadi N Hafner J Shajkofci A Zisaki A Hatzimanikatis V 2016 ATLAS ofbiochemistry a repository of all possible biochemical reactions for synthetic biologyand metabolic engineering studies ACS Synth Biol 5 1155ndash1166 httpdxdoiorg101021acssynbio6b00054

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He W Yuan S Zhong W-H Siddikee MA Dai C-C 2016 Application of geneti-cally engineered microbial whole-cell biosensors for combined chemosensing ApplMicrobiol Biotechnol 100 1109ndash1119 httpdxdoiorg101007s00253-015-7160-6

Hennig S Roumldel G Ostermann K 2015 Artificial cell-cell communication as anemerging tool in synthetic biology applications J Biol Eng 9 13 httpdxdoiorg101186s13036-015-0011-2

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Hodgman CE Jewett MC 2012 Cell-free synthetic biology thinking outside the cellMetab Eng 14 261ndash269 httpdxdoiorg101016jymben201109002

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Total degradation of pentachloroethane by an engineered Alcaligenes strain expres-sing a modified camphor monooxygenase and a hybrid dioxygenase BiosciBiotechnol Biochem 68 1353ndash1356 httpdxdoiorg101271bbb681353

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Janssen DB Dinkla IJT Poelarends GJ Terpstra P 2005 Bacterial degradation ofxenobiotic compounds evolution and distribution of novel enzyme activitiesEnviron Microbiol 7 1868ndash1882 httpdxdoiorg101111j1462-2920200500966x

Kanehisa M Goto S Sato Y Kawashima M Furumichi M Tanabe M 2014 Datainformation knowledge and principle back to metabolism in KEGG Nucleic AcidsRes 42 D199ndash205 httpdxdoiorg101093nargkt1076

Karig DK 2017 Cell-free synthetic biology for environmental sensing and remediationCurr Opin Biotechnol 45 69ndash75 httpdxdoiorg101016jcopbio201701010

Kellogg ST Chatterjee DK Chakrabarty AM 1981 Plasmid-assisted molecularbreeding new technique for enhanced biodegradation of persistent toxic chemicalsScience 214 1133ndash1135

Khersonsky O Tawfik DS 2010 Enzyme promiscuity a mechanistic and evolutionaryperspective Annu Rev Biochem 79 471ndash505 httpdxdoiorg101146annurev-biochem-030409-143718

Kim J Copley SD 2012 Inhibitory cross-talk upon introduction of a new metabolicpathway into an existing metabolic network Proc Natl Acad Sci U S A 109E2856ndash2864 httpdxdoiorg101073pnas1208509109

Kim S Baek S-H Lee K Hahn J-S 2013a Cellulosic ethanol production using ayeast consortium displaying a minicellulosome and β-glucosidase Microb CellFactories 12 14 httpdxdoiorg1011861475-2859-12-14

Kim J Oliveros JC Nikel PI de Lorenzo V Silva-Rocha R 2013b Transcriptomicfingerprinting of Pseudomonas putida under alternative physiological regimesEnviron Microbiol Rep 5 883ndash891 httpdxdoiorg1011111758-222912090

Kim S Thiessen PA Bolton EE Chen J Fu G Gindulyte A Han L He J He SShoemaker BA Wang J Yu B Zhang J Bryant SH 2016 PubChem substanceand compound databases Nucleic Acids Res 44 D1202ndash1213 httpdxdoiorg101093nargkv951

King ZA Lloyd CJ Feist AM Palsson BO 2015 Next-generation genome-scalemodels for metabolic engineering Curr Opin Biotechnol 35 23ndash29 httpdxdoiorg101016jcopbio201412016

Kleinstiver BP Pattanayak V Prew MS Tsai SQ Nguyen NT Zheng Z JoungJK 2016 High-fidelity CRISPR-Cas9 nucleases with no detectable genome-wide off-target effects Nature 529 490ndash495 httpdxdoiorg101038nature16526

Kosuri S Church GM 2014 Large-scale de novo DNA synthesis technologies andapplications Nat Methods 11 499ndash507 httpdxdoiorg101038nmeth2918

Koutinas AA Vlysidis A Pleissner D Kopsahelis N Lopez Garcia I Kookos IKPapanikolaou S Kwan TH Lin CSK 2014 Valorization of industrial waste andby-product streams via fermentation for the production of chemicals and biopoly-mers Chem Soc Rev 43 2587ndash2627 httpdxdoiorg101039c3cs60293a

Krewski D Andersen ME Mantus E Zeise L 2009 Toxicity testing in the 21stcentury implications for human health risk assessment Risk Anal 29 474ndash479httpdxdoiorg101111j1539-6924200801150x

Kube M Chernikova TN Al-Ramahi Y Beloqui A Lopez-Cortez N Guazzaroni M-E Heipieper HJ Klages S Kotsyurbenko OR Langer I Nechitaylo TYLuumlnsdorf H Fernaacutendez M Juaacuterez S Ciordia S Singer A Kagan O Egorova OPetit PA Stogios P Kim Y Tchigvintsev A Flick R Denaro R Genovese MAlbar JP Reva ON Martiacutenez-Gomariz M Tran H Ferrer M Savchenko AYakunin AF Yakimov MM Golyshina OV Reinhardt R Golyshin PN 2013Genome sequence and functional genomic analysis of the oil-degrading bacteriumOleispira antarctica Nat Commun 4 2156 httpdxdoiorg101038ncomms3156

Kuipers RK Joosten H-J van Berkel WJH Leferink NGH Rooijen E IttmannE van Zimmeren F Jochens H Bornscheuer U Vriend G dos Santos VAPMSchaap PJ 2010 3DM systematic analysis of heterogeneous superfamily data todiscover protein functionalities Proteins 78 2101ndash2113 httpdxdoiorg101002prot22725

Kurumbang NP Dvorak P Bendl J Brezovsky J Prokop Z Damborsky J 2014Computer-assisted engineering of the synthetic pathway for biodegradation of a toxicpersistent pollutant ACS Synth Biol 3 172ndash181 httpdxdoiorg101021sb400147n

Latino DARS Wicker J Guumltlein M Schmid E Kramer S Fenner K 2017 Eawag-Soil in enviPath a new resource for exploring regulatory pesticide soil biodegrada-tion pathways and half-life data Environ Sci Processes Impacts 19 449ndash464httpdxdoiorg101039c6em00697c

Lee J Cao L Ow SY Barrios-Llerena ME Chen W Wood TK Wright PC 2006Proteome changes after metabolic engineering to enhance aerobic mineralization ofcis‑12-dichloroethylene J Proteome Res 5 1388ndash1397 httpdxdoiorg101021pr060008t

Lee JW Na D Park JM Lee J Choi S Lee SY 2012 Systems metabolic en-gineering of microorganisms for natural and non-natural chemicals Nat Chem Biol8 536ndash546 httpdxdoiorg101038nchembio970

Lehrbach PR Zeyer J Reineke W Knackmuss HJ Timmis KN 1984 Enzymerecruitment in vitro use of cloned genes to extend the range of haloaromatics de-graded by Pseudomonas sp strain B13 J Bacteriol 158 1025ndash1032

Li G-Q Ma T Li S-S Li H Liang F-L Liu R-L 2007 Improvement of di-benzothiophene desulfurization activity by removing the gene overlap in the dsz

P Dvořaacutek et al Biotechnology Advances 35 (2017) 845ndash866

863

operon Biosci Biotechnol Biochem 71 849ndash854 httpdxdoiorg101271bbb60189

Li Z Yoshida N Wang A Nan J Liang B Zhang C Zhang D Suzuki D Zhou XXiao Z Katayama A 2015 Anaerobic mineralization of 246-tribromophenol toCO2 by a synthetic microbial community comprising Clostridium Dehalobacter andDesulfatiglans Bioresour Technol 176 225ndash232 httpdxdoiorg101016jbiortech201410097

Libis V Deleacutepine B Faulon J-L 2016 Expanding biosensing abilities through com-puter-aided design of metabolic pathways ACS Synth Biol 5 1076ndash1085 httpdxdoiorg101021acssynbio5b00225

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Liu X Germaine KJ Ryan D Dowling DN 2010 Genetically modifiedPseudomonas biosensing biodegraders to detect PCB and chlorobenzoate bioavail-ability and biodegradation in contaminated soils Bioeng Bugs 1 198ndash206 httpdxdoiorg104161bbug1312443

Liu J Tan L Wang J Wang Z Ni H Li L 2016 Complete biodegradation ofchlorpyrifos by engineered Pseudomonas putida cells expressing surface-immobilizedlaccases Chemosphere 157 200ndash207 httpdxdoiorg101016jchemosphere201605031

Loeschcke A Markert A Wilhelm S Wirtz A Rosenau F Jaeger K-E Drepper T2013 TREX a universal tool for the transfer and expression of biosynthetic pathwaysin bacteria ACS Synth Biol 2 22ndash33 httpdxdoiorg101021sb3000657

Long MR Ong WK Reed JL 2015 Computational methods in metabolic en-gineering for strain design Curr Opin Biotechnol 34 135ndash141 httpdxdoiorg101016jcopbio201412019

Lorenzo V Loza-Tavera H 2011 Microbial bioremediation of chemical pollutants howbacteria cope with multi-stress environmental scenarios In Storz G Hengge R(Eds) Bacterial Stress Responses Second edition ASM Press Washington DC pp481ndash492 httpdxdoiorg1011289781555816841ch30

Lovley DR Phillips EJP Gorby YA Landa ER 1991 Microbial reduction of ur-anium Nature 350 413ndash416 httpdxdoiorg101038350413a0

Lykidis A Peacuterez-Pantoja D Ledger T Mavromatis K Anderson IJ Ivanova NNHooper SD Lapidus A Lucas S Gonzaacutelez B Kyrpides NC 2010 The completemultipartite genome sequence of Cupriavidus necator JMP134 a versatile pollutantdegrader PLoS One 5 e9729 httpdxdoiorg101371journalpone0009729

Marathe NP Pal C Gaikwad SS Jonsson V Kristiansson E Larsson DGJ 2017Untreated urban waste contaminates Indian river sediments with resistance genes tolast resort antibiotics Water Res 124 388ndash397 httpdxdoiorg101016jwatres201707060

Martiacutenez I Mohamed ME-S Rozas D Garciacutea JL Diacuteaz E 2016 Engineering syn-thetic bacterial consortia for enhanced desulfurization and revalorization of oil sulfurcompounds Metab Eng 35 46ndash54 httpdxdoiorg101016jymben201601005

Martiacutenez-Garciacutea E de Lorenzo V 2012 Transposon-based and plasmid-based genetictools for editing genomes of gram-negative bacteria Methods Mol Biol 813267ndash283 (Clifton NJ) httpdxdoiorg101007978-1-61779-412-4_16

Martiacutenez-Garciacutea E de Lorenzo V 2016 The quest for the minimal bacterial genomeCurr Opin Biotechnol 42 216ndash224 httpdxdoiorg101016jcopbio201609001

Martiacutenez-Garciacutea E Aparicio T de Lorenzo V Nikel PI 2014a New transposon toolstailored for metabolic engineering of gram-negative microbial cell factories FrontBioeng Biotechnol 2 46 httpdxdoiorg103389fbioe201400046

Martiacutenez-Garciacutea E Nikel PI Aparicio T de Lorenzo V 2014b Pseudomonas 20genetic upgrading of P putida KT2440 as an enhanced host for heterologous geneexpression Microb Cell Factories 13 159 httpdxdoiorg101186s12934-014-0159-3

Martiacutenez-Garciacutea E Aparicio T Gontildei-Moreno A Fraile S de Lorenzo V 2015 SEVA20 an update of the Standard European Vector Architecture for de-re-constructionof bacterial functionalities Nucleic Acids Res 43 D1183ndash1189 httpdxdoiorg101093nargku1114

Meckenstock RU Elsner M Griebler C Lueders T Stumpp C Aamand J AgathosSN Albrechtsen H-J Bastiaens L Bjerg PL Boon N Dejonghe W HuangWE Schmidt SI Smolders E Soslashrensen SR Springael D van Breukelen BM2015 Biodegradation updating the concepts of control for microbial cleanup incontaminated aquifers Environ Sci Technol 49 7073ndash7081 httpdxdoiorg101021acsest5b00715

Medema MH van Raaphorst R Takano E Breitling R 2012 Computational tools forthe synthetic design of biochemical pathways Nat Rev Microbiol 10 191ndash202httpdxdoiorg101038nrmicro2717

Mendes P Hoops S Sahle S Gauges R Dada J Kummer U 2009 Computationalmodeling of biochemical networks using COPASI Methods Mol Biol 500 17ndash59(Clifton NJ) httpdxdoiorg101007978-1-59745-525-1_2

Minty JJ Singer ME Scholz SA Bae C-H Ahn J-H Foster CE Liao JC LinXN 2013 Design and characterization of synthetic fungal-bacterial consortia fordirect production of isobutanol from cellulosic biomass Proc Natl Acad Sci U S A110 14592ndash14597 httpdxdoiorg101073pnas1218447110

Moraiumls S Shterzer N Lamed R Bayer EA Mizrahi I 2014 A combined cell-con-sortium approach for lignocellulose degradation by specialized Lactobacillus plan-tarum cells Biotechnol Biofuels 7 112 httpdxdoiorg1011861754-6834-7-112

Morgat A Axelsen KB Lombardot T Alcaacutentara R Aimo L Zerara M Niknejad A

Belda E Hyka-Nouspikel N Coudert E Redaschi N Bougueleret L SteinbeckC Xenarios I Bridge A 2015 Updates in Rheamdasha manually curated resource ofbiochemical reactions Nucleic Acids Res 43 D459ndash464 httpdxdoiorg101093nargku961

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Muschiol J Peters C Oberleitner N Mihovilovic MD Bornscheuer UT Rudroff F2015 Cascade catalysismdashstrategies and challenges en route to preparative syntheticbiology Chem Commun (Camb) 51 5798ndash5811 httpdxdoiorg101039c4cc08752f

Mutlu BR Yeom S Wackett L Aksan A 2015 Modelling and optimization of abioremediation system utilizing silica gel encapsulated whole-cell biocatalyst ChemEng J 259 574ndash580 httpdxdoiorg101016jcej201407130

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Nancharaiah YV Mohan SV Lens PNL 2016 Biological and bioelectrochemicalrecovery of critical and scarce metals Trends Biotechnol 34 137ndash155 httpdxdoiorg101016jtibtech201511003

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Nielsen AAK Der BS Shin J Vaidyanathan P Paralanov V Strychalski EARoss D Densmore D Voigt CA 2016 Genetic circuit design automation Science352 aac7341 httpdxdoiorg101126scienceaac7341

Nikel PI de Lorenzo V 2013 Engineering an anaerobic metabolic regime inPseudomonas putida KT2440 for the anoxic biodegradation of 13-dichloroprop-1-eneMetab Eng 15 98ndash112 httpdxdoiorg101016jymben201209006

Nikel PI Peacuterez-Pantoja D de Lorenzo V 2013 Why are chlorinated pollutants sodifficult to degrade aerobically Redox stress limits 13-dichloroprop-1-ene metabo-lism by Pseudomonas pavonaceae Philos Trans R Soc Lond Ser B Biol Sci 36820120377 httpdxdoiorg101098rstb20120377

Nikel PI Martiacutenez-Garciacutea E de Lorenzo V 2014 Biotechnological domestication ofpseudomonads using synthetic biology Nat Rev Microbiol 12 368ndash379 httpdxdoiorg101038nrmicro3253

Nikel PI Chavarriacutea M Fuhrer T Sauer U de Lorenzo V 2015 Pseudomonas putidaKT2440 strain metabolizes glucose through a cycle formed by enzymes of the Entner-Doudoroff Embden-Meyerhof-Parnas and pentose phosphate pathways J BiolChem 290 25920ndash25932 httpdxdoiorg101074jbcM115687749

Nikel PI Chavarriacutea M Danchin A de Lorenzo V 2016a From dirt to industrialapplications Pseudomonas putida as a synthetic biology chassis for hosting harshbiochemical reactions Curr Opin Chem Biol 34 20ndash29 httpdxdoiorg101016jcbpa201605011

Nikel PI Peacuterez-Pantoja D de Lorenzo V 2016b Pyridine nucleotide transhy-drogenases enable redox balance of Pseudomonas putida during biodegradation ofaromatic compounds Environ Microbiol 18 3565ndash3582 httpdxdoiorg1011111462-292013434

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Oide S Gunji W Moteki Y Yamamoto S Suda M Jojima T Yukawa H Inui M2015 Thermal and solvent stress cross-tolerance conferred to Corynebacterium glu-tamicum by adaptive laboratory evolution Appl Environ Microbiol 81 2284ndash2298httpdxdoiorg101128AEM03973-14

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Paddon CJ Keasling JD 2014 Semi-synthetic artemisinin a model for the use ofsynthetic biology in pharmaceutical development Nat Rev Microbiol 12 355ndash367httpdxdoiorg101038nrmicro3240

Parales RE Ditty JL 2005 Laboratory evolution of catabolic enzymes and pathwaysCurr Opin Biotechnol 16 315ndash325 httpdxdoiorg101016jcopbio200503008

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Pascual J Udaondo Z Molina L Segura A Esteve-Nuacutentildeez A Caballero A DuqueE Ramos JL van Dillewijn P 2015 Draft genome sequence of Pseudomonas putidaJLR11 a facultative anaerobic 246-trinitrotoluene biotransforming bacteriumGenome Announc 3 httpdxdoiorg101128genomeA00904-15

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Ravikumar S Baylon MG Park SJ Choi J-I 2017 Engineered microbial biosensorsbased on bacterial two-component systems as synthetic biotechnology platforms inbioremediation and biorefinery Microb Cell Factories 16 62 httpdxdoiorg101186s12934-017-0675-z

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Rollin JA Martin del Campo J Myung S Sun F You C Bakovic A Castro RChandrayan SK Wu C-H Adams MWW Senger RS Zhang Y-HP 2015High-yield hydrogen production from biomass by in vitro metabolic engineeringmixed sugars coutilization and kinetic modeling Proc Natl Acad Sci U S A 1124964ndash4969 httpdxdoiorg101073pnas1417719112

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Santacoloma PA Sin G Gernaey KV Woodley JM 2011 Multienzyme-catalyzedprocesses next-generation biocatalysis Org Process Res Dev 15 203ndash212 httpdxdoiorg101021op1002159

Santos CNS Yoshikuni Y 2014 Engineering complex biological systems in bacteriathrough recombinase-assisted genome engineering Nat Protoc 9 1320ndash1336

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Schmidt M (Ed) 2012 Synthetic Biology Industrial and Environmental Applications1st edition Wiley-Blackwell

Schmidt M de Lorenzo V 2016 Synthetic bugs on the loose containment options fordeeply engineered (micro)organisms Curr Opin Biotechnol 38 90ndash96 httpdxdoiorg101016jcopbio201601006

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Scism RA Bachmann BO 2010 Five-component cascade synthesis of nucleotideanalogues in an engineered self-immobilized enzyme aggregate Chembiochem EurJ Chem Biol 11 67ndash70 httpdxdoiorg101002cbic200900620

Scott SR Hasty J 2016 Quorum sensing communication modules for microbialconsortia ACS Synth Biol 5 969ndash977 httpdxdoiorg101021acssynbio5b00286

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Sheldon RA 2011 Characteristic features and biotechnological applications of cross-linked enzyme aggregates (CLEAs) Appl Microbiol Biotechnol 92 467ndash477 httpdxdoiorg101007s00253-011-3554-2

Shi L Dong H Reguera G Beyenal H Lu A Liu J Yu H-Q Fredrickson JK2016 Extracellular electron transfer mechanisms between microorganisms and mi-nerals Nat Rev Microbiol 14 651ndash662 httpdxdoiorg101038nrmicro201693

Si T Xiao H Zhao H 2015 Rapid prototyping of microbial cell factories via genome-scale engineering Biotechnol Adv 33 1420ndash1432 httpdxdoiorg101016jbiotechadv201411007

Silva-Rocha R de Lorenzo V 2014 Engineering multicellular logic in bacteria withmetabolic wires ACS Synth Biol 3 204ndash209 httpdxdoiorg101021sb400064y

Siu K-H Chen RP Sun Q Chen L Tsai S-L Chen W 2015 Synthetic scaffolds forpathway enhancement Curr Opin Biotechnol 36 98ndash106 httpdxdoiorg101016jcopbio201508009

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Sohn SB Kim TY Park JM Lee SY 2010 In silico genome-scale metabolic ana-lysis of Pseudomonas putida KT2440 for polyhydroxyalkanoate synthesis degradationof aromatics and anaerobic survival Biotechnol J 5 739ndash750 httpdxdoiorg101002biot201000124

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St-Pierre F Cui L Priest DG Endy D Dodd IB Shearwin KE 2013 One-stepcloning and chromosomal integration of DNA ACS Synth Biol 2 537ndash541 httpdxdoiorg101021sb400021j

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Tolia NH Joshua-Tor L 2006 Strategies for protein coexpression in Escherichia coliNat Methods 3 55ndash64 httpdxdoiorg101038nmeth0106-55

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Troumlgl J Krhůtkovaacute O Pilařovaacute V Daacuteňovaacute P Holiacuteček R Kohlovaacute M Hejda SSmrčka J Bouškovaacute A Křiklavovaacute L 2012 Removal of nitrates from high-salinitywastewaters from desulphurization process with denitrifying bacteria encapsulated inLentikats Biocatalyst Int J Environ Sci Technol 9 425ndash432 httpdxdoiorg101007s13762-012-0048-4

UniProt Consortium 2015 UniProt a hub for protein information Nucleic Acids Res 43D204ndash212 httpdxdoiorg101093nargku989

Vallenet D Calteau A Cruveiller S Gachet M Lajus A Josso A Mercier JRenaux A Rollin J Rouy Z Roche D Scarpelli C Meacutedigue C 2016MicroScope in 2017 an expanding and evolving integrated resource for communityexpertise of microbial genomes Nucleic Acids Res httpdxdoiorg101093nargkw1101

van Leeuwen JGE Wijma HJ Floor RJ van der Laan J-M Janssen DB 2012

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Directed evolution strategies for enantiocomplementary haloalkane dehalogenasesfrom chemical waste to enantiopure building blocks Chembiochem Eur J ChemBiol 13 137ndash148 httpdxdoiorg101002cbic201100579

Vilchez-Vargas R Junca H Pieper DH 2010 Metabolic networks microbial ecologyand ldquoomicsrdquo technologies towards understanding in situ biodegradation processesEnviron Microbiol 12 3089ndash3104 httpdxdoiorg101111j1462-2920201002340x

Wang HH Isaacs FJ Carr PA Sun ZZ Xu G Forest CR Church GM 2009Programming cells by multiplex genome engineering and accelerated evolutionNature 460 894ndash898 httpdxdoiorg101038nature08187

Wang B Kitney RI Joly N Buck M 2011 Engineering modular and orthogonalgenetic logic gates for robust digital-like synthetic biology Nat Commun 2 508httpdxdoiorg101038ncomms1516

Wang K Schmied WH Chin JW 2012 Reprogramming the genetic code from tri-plet to quadruplet codes Angew Chem Int Ed Eng 51 2288ndash2297 httpdxdoiorg101002anie201105016

Wang B Barahona M Buck M 2013 A modular cell-based biosensor using engineeredgenetic logic circuits to detect and integrate multiple environmental signals BiosensBioelectron 40 368ndash376 httpdxdoiorg101016jbios201208011

Wang L Xue C Wang L Zhao Q Wei W Sun Y 2016 Strain improvement ofChlorella sp for phenol biodegradation by adaptive laboratory evolution BioresourTechnol 205 264ndash268 httpdxdoiorg101016jbiortech201601022

Wei R Oeser T Schmidt J Meier R Barth M Then J Zimmermann W 2016Engineered bacterial polyester hydrolases efficiently degrade polyethylene ter-ephthalate due to relieved product inhibition Biotechnol Bioeng 113 1658ndash1665httpdxdoiorg101002bit25941

Wibberg D Bremges A Dammann-Kalinowski T Maus I Igentildeo MI Vogelsang RKoumlnig C Luque-Almagro VM Roldaacuten MD Sczyrba A Moreno-Viviaacuten CBlasco R Puumlhler A Schluumlter A 2016 Finished genome sequence and methylomeof the cyanide-degrading Pseudomonas pseudoalcaligenes strain CECT5344 as resolvedby single-molecule real-time sequencing J Biotechnol 232 61ndash68 httpdxdoiorg101016jjbiotec201604008

Wicker J Lorsbach T Guumltlein M Schmid E Latino D Kramer S Fenner K 2016enviPathmdashthe environmental contaminant biotransformation pathway resourceNucleic Acids Res 44 D502ndash508 httpdxdoiorg101093nargkv1229

Wierckx N Prieto MA Pomposiello P de Lorenzo V OConnor K Blank LM2015 Plastic waste as a novel substrate for industrial biotechnology MicrobBiotechnol 8 900ndash903 httpdxdoiorg1011111751-791512312

Wigginton N Yeston J Malakoff D 2012 Working with waste More treasure thantrash Introduction Science 337 662ndash663 httpdxdoiorg101126science3376095662

Winsor GL Griffiths EJ Lo R Dhillon BK Shay JA Brinkman FSL 2016Enhanced annotations and features for comparing thousands of Pseudomonas gen-omes in the Pseudomonas genome database Nucleic Acids Res 44 D646ndash653httpdxdoiorg101093nargkv1227

Wittich R-M Wolff P 2007 Growth of the genetically engineered strain Cupriavidusnecator RW112 with chlorobenzoates and technical chlorobiphenyls Microbiology153 186ndash195 httpdxdoiorg101099mic029096-0

Wittich R-M van Dillewijn P Ramos JL 2010 Rational construction of bacterialstrains with newimproved catabolic capabilities for the efficient breakdown of en-vironmental pollutants In Timmis KN (Ed) Handbook of Hydrocarbon and LipidMicrobiology Springer Berlin Heidelberg pp 1247ndash1254

Wolfaardt GM Lawrence JR Robarts RD Caldwell SJ Caldwell DE 1994Multicellular organization in a degradative biofilm community Appl EnvironMicrobiol 60 434ndash446

Wu G Yan Q Jones JA Tang YJ Fong SS Koffas MAG 2016 Metabolicburden cornerstones in synthetic biology and metabolic engineering applicationsTrends Biotechnol 34 652ndash664 httpdxdoiorg101016jtibtech201602010

Xu P Vansiri A Bhan N Koffas MAG 2012 ePathBrick a synthetic biology plat-form for engineering metabolic pathways in E coli ACS Synth Biol 1 256ndash266httpdxdoiorg101021sb300016b

Yadid I Rudolph J Hlouchova K Copley SD 2013 Sequestration of a highly re-active intermediate in an evolving pathway for degradation of pentachlorophenolProc Natl Acad Sci U S A 110 E2182ndash2190 httpdxdoiorg101073pnas1214052110

Yang J Liu R Jiang H Yang Y Qiao C 2012 Selection of a whole-cell biocatalystfor methyl parathion biodegradation Appl Microbiol Biotechnol 95 1625ndash1632httpdxdoiorg101007s00253-011-3792-3

Yang Y Yang J Jiang L 2016 Comment on A bacterium that degrades and assim-ilates poly(ethylene terephthalate) Science 353 759 httpdxdoiorg101126scienceaaf8305

Yoshida S Hiraga K Takehana T Taniguchi I Yamaji H Maeda Y Toyohara KMiyamoto K Kimura Y Oda K 2016a A bacterium that degrades and assimilatespoly(ethylene terephthalate) Science 351 1196ndash1199 httpdxdoiorg101126scienceaad6359

Yoshida S Hiraga K Takehana T Taniguchi I Yamaji H Maeda Y Toyohara KMiyamoto K Kimura Y Oda K 2016b Response to comment on A bacterium thatdegrades and assimilates poly(ethylene terephthalate) Science 353 759 httpdxdoiorg101126scienceaaf8625

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  • Bioremediation 30 Engineering pollutant-removing bacteria in the times of systemic biology
    • Introduction
    • Approaches and tools of systems biology and metabolic engineering for tailoring biodegradation pathways
      • Step 1 get to know the contaminant and find a suitable catabolic pathway
        • Databases
        • Pathway prediction systems and toxicity prediction algorithms
        • Detection and quantification of pathway building blocks
          • Step 2 select and get to know a suitable microbial host
            • Omics techniques in studies of bacterial degraders
              • Step 3 build the pathway and optimize its performance in the context of host metabolism
                • Computational tools for pathway and strain optimization
                • Experimental tools for pathway and strain optimization
                • Protein engineering to eliminate bottlenecks of biodegradation pathways
                    • Synthetic biology approaches and tools for biodegradation pathway engineering
                      • Development of robust microbial chassis for biodegradation of toxic chemicals
                      • Development of synthetic microbial consortia for enhanced biodegradation and bioremediation of pollutants
                      • Development of orthogonal systems in bacteria to enhance pollutant biodegradation and bioremediation
                      • Engineering microbial biodegradation pathways in vitro
                        • Towards planet-wide bioremediation interventions CO2 capture as a large-scale challenge
                        • Conclusions and perspectives
                        • Acknowledgements
                        • References
                        • Web references
Page 16: Bioremediation 3.0 Engineering pollutant-removing bacteria ... · biology, metabolic engineering, and synthetic biology, for the sake of understanding and reprograming biological

associated to CO2 emissions became so conspicuous widespread pol-lution by endocrine disruptors (eg alkylphenols bisphenols DDTPCBs polybrominated diphenyl ethers phthalates and per-fluorooctanoic acid) was well documented Moreover other silent pol-lutants originate in the pharmaceutical industry eg antibiotics(Marathe et al 2017) and hormones They end up in a large variety ofecosystems in a diluted but still active form Finally plastics (egpolycarbonate polystyrene polyethylene terephthalate lowhigh-density polyethylene polypropylene and polyvinyl chloride) are cur-rently receiving a considerable focus as a major environmental pro-blem A number of microbial strains able to totally or partially act uponthese compounds have been isolated (see above) but in general thebiodegradation process is very slow The global nature of these types ofpollution thus requires the development of new efficient microbialpathways for their elimination quite a challenge for contemporarysynthetic biologists and metabolic engineers (de Lorenzo 2017)Butmdashas is the case for CO2 capture mentioned abovemdashpathways andhosts able to deploy them are not enough Effective strategies for globaldispersion of biodegradative activities of interest are badly nee-dedmdashperhaps inspired in gene drives or some type of self-propagatingmassive horizontal gene transfer (de Lorenzo et al 2016)

5 Conclusions and perspectives

The practical examples described in the preceding sections showthat technologies of systemic biology offer promise not only for therenaissance of bioremediation using anthropogenically enhanced mi-crobial degraders but also for entry to the new era of Bioremediation30 The bottlenecks described at the beginning of this text are one byone being released or removed with the help of new computational andexperimental tools Databases and pathway prediction systems help the

user to select suitable chemically and energetically feasible traits fordesired tasks Multi-omic analyses provide valuable information thatfacilitates choice of a suitable host Genome-scale and kinetic modelsapplied hand-in-hand with genetic engineering techniques enable tai-loring of gene expression reduction of metabolic burden and pathwayoptimization in the context of host metabolism The visionary conceptsof synthetic biology and global scale CO2 bioremediation open up newdimensions for engineering microbial degraders General work schemesand standards for design building and fine-tuning of selected bio-chemical routes networks and whole-cell biocatalysts are simulta-neously becoming better defined and accepted by the community

Despite the clear progress over the last decade of biochemical andbiological engineering the vast complexity of the living cell remainsthe major hurdle for any attempt for fully rational pathway design Inthe case of biosensing and biodegradation pathway design and pro-spective applications of the genetically-modified microbes this problemis exacerbated by the complexity of intercellular and interspecific in-teractions and by the still poorly understood interplay between thebiotic and abiotic factors that govern contaminant biodegradation inpolluted ecosystems (de Lorenzo 2008 Meckenstock et al 2015) Weassume that in principle there are two ways to address this challengenow and in future

The first admits that complexity of biological systems will not beresolved anytime soon and thus bets on combining rational designs withnatural evolution at the end of the DBTA cycle thus expanding it toDBTAE (Design-Build-Test-Analyze-Evolve) Adaptive laboratory evo-lution (ALE) is a high calibre tool of this approach ALE is now frequentlyused by academic and industrial laboratories to evolve desired prop-erties in environmental bacteria and for fine-tuning recombinant mi-croorganisms but its principles have been well known since the time ofthe very first attempts to modify microbial phenotypes (Kellogg et al

Fig 7 Hemiautotrophic growth of engineered E coli al-lowed by decoupling energy production and carbon fixa-tion The hemiautotrophic growth was observed after per-forming three distinct steps (i) Calvin-Benson-Bassham(CBB) cycle for the biosynthesis of sugars from CO2 wascompleted by introducing only two exogenous enzymaticactivities phosphoribulokinase (prkA) and RuBisCO (ii)phosphoglycerate mutase genes gpmA and gpmM were de-leted to separate central metabolism into two sub-systemsie a CO2-fixing part that included PrkA RuBisCO upperglycolysis and the pentose phosphate pathway and an en-ergy-supplying module that employed lower glycolysis andthe TCA cycle (iii) the engineered strain bearing furthermutations (ΔpfkA ΔpfkB Δzwf) was exposed to the strongselective pressure towards greater carbon fixation in xylose-limited chemostat with a surplus pyruvate and CO2Emerged mutations made designed CBB cycle functionaland the hemiautotrophic strain that replaced utilisation ofxylose with CO2 fixation dominated the populationFigure adapted from Antonovsky et al (2016)

P Dvořaacutek et al Biotechnology Advances 35 (2017) 845ndash866

860

1981) In biodegradation research exposing microorganisms with de-sirable catabolic traits to the target chemical(s) for prolonged intervalsin chemostat or shaken-flask cultures enabled isolation of bacteria ableto use persistent compounds such as 245-trichlorophenoxyacetic acid(the defoliating Agent Orange) or helped improve atrazine degradationrates by Pseudomonas sp ADP or 24-dichlorophenoxyacetic by Ral-stonia sp TFD41 (Devers et al 2008 Kellogg et al 1981 Nakatsuet al 1998) Nonetheless the potential of ALE in engineering microbialdegraders has yet not been fully exploited ALE will be an ideal tool forempowering rationally pre-designed recombinants with resistance todiverse environmental stresses encountered in directed biodegradationprocesses or in polluted ecosystems (Nicolaou et al 2010 Oide et al2015 Wang et al 2016) When combined with whole-genome se-quencing and reverse engineering ALE as an evolutionary ldquoblindrdquo ap-proach can paradoxically contribute to further rationalizing the field byexposing otherwise unpredictable complex changes in multitrait phe-notypes

The second approach bets on technology without compromise andwill take advantage of continuing technological revolution in biologyand related sciences We recently witnessed the attempt of syntheticbiologists to implement automation as we know it from electronic en-gineering in the design of orthogonal genetic circuits that would co-ordinate the actions of selected microbial chassis (Nielsen et al 2016)The genetic ldquogutsrdquo and pathway enzymes of the chassis can be designedand synthesized de novo or be tailored rapidly with surgical precisionusing new genome editing and protein engineering tools (Huang et al2016 Hutchison et al 2016 Nyerges et al 2016 Ran et al 2013Renata et al 2015) Although the circuit design tools still work pre-dominantly with simple logic gates the robustness and utility of theavailable minimal cells is limited and de novo-designed enzymes havelow activity we can assume that the efficiency reliability and timedemand of such exercises will be further improved by progress incomputer science and artificial intelligence development that couldcrack the complexity of life A purely technological approach wouldomit any unknowns from the DBTA cycle with help of reliable com-putational simulations thus expanding it to DSBTA (Design-Simulate-Build-Test-Analyze) and providing space for construction of whole-cellcatalysts perfectly tailored for specific biodegradation tasks

The challenges of both approaches applied to directed in situ bior-emediation encompass the development of test schemes that will ex-pose engineered organisms to mimicked environmental conditions in-cluding limiting carbon sources lack of oxygen or redox recycling masstransfer perturbations or interspecific predation (Meckenstock et al2015) A critical issue will be the choice and establishment of newchassis organisms better suited to field biotransformations than thecurrently available laboratory strains in terms of resistance to harshconditions including extreme pH temperature osmotic pressure orfluctuating concentrations of toxic chemicals (Adams 2016) Thesenew strains must simultaneously be reliable amenable to genetic ma-nipulation have mapped genomes and ideally metabolic models athand The in situ bioremediation quests will be complicated by thevarying nature of polluting compounds their mixtures and transfor-mation products all of which can be present at a single site (Sarigiannisand Hansen 2012) Future microbial degraders must therefore be de-signed to cope with several problem compounds in parallel and notonly in terms of degradation or mineralization The succesful conver-sion of dangerous contaminants into usable molecules that can be fur-ther valorized by whole-cell or cell-free biocatalysts is a desirablestarting point for the development of new technologies that extendstandard concepts of biodegradation and bioremediation (Dvorak et al2014a Wigginton et al 2012) Microbe-driven trash-to-treasure con-versions are known from established biomass valorization processesbut this concept can also be implemented in wastewater treatmentmetal and plastic recycling or in direct valorization of industrial by-product streams or captured greenhouse gases (Bornscheuer 2016Koutinas et al 2014 Nancharaiah et al 2016 Wierckx et al 2015)

Even so the major challenge to the entire field of engineered de-graders is not related to continued progress in the development of im-proved technologies which is inevitable but rather to the dissemina-tion and popularization of achievements already attained Publicenvironmental concerns and regulatory constraints have not just re-stricted field tests of genetically modified microbes but also affect thequality of fundamental research and by the same token overall pro-gress in the field The exercises described in this review will only have achance to become real enterprises if the general population is inspiredby biotechnology and accepts it as an inseparable part of our dailyroutine as it did for information technology The new systemic dis-ciplines that make life less puzzling as well as emerging do-it-yourselfmovement in biotechnology can undoubtedly contribute to a generalchange of attitude (de Lorenzo and Schmidt 2017) Such change isvital because our ability to minimize production of waste and pollutingchemicals remove existing waste or use it in bioprocesses to formvalue-added compounds will shape the fate of our society on a globalscale

Acknowledgements

PD is the holder of the Marie Sklodowska-Curie grant No 704410(FUTURE) The work in Authors Laboratory was funded by theCAMBIOS Project of the Spanish Ministry of Economy andCompetitiveness RTC-2014-1777-3 (MINECO) HELIOS Project of theSpanish Ministry of Economy and Competitiveness BIO 2015-66960-C3-2-R (MINECOFEDER) and the ARISYS (ERC-2012-ADG-322797)EmPowerPutida (EU-H2020-BIOTEC-2014-2015-6335536) andRaft4Biotech (720776) contracts of the European Union JD is sup-ported also by the Czech Ministry of Education (LQ1605 LO1214LM2015055) and Czech Grant Agency (GA16-06096S) The financialsupport of The Novo Nordisk Foundation to PIN is also gratefully ac-knowledged

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de Lorenzo V 2008 Systems biology approaches to bioremediation Curr OpinBiotechnol 19 579ndash589 httpdxdoiorg101016jcopbio200810004

de Lorenzo V 2009 Recombinant bacteria for environmental release what went wrongand what we have learnt from it Clin Microbiol Infect 15 (Suppl 1) 63ndash65 httpdxdoiorg101111j1469-0691200802683x

de Lorenzo V 2017 Seven microbial bio-processes to help the planet EnvironMicrobiol httponlinelibrarywileycomdoi1011111751-791512816full

de Lorenzo V Danchin A 2008 Synthetic biology discovering new worlds and newwords EMBO Rep 9 822ndash827 httpdxdoiorg101038embor2008159

de Lorenzo V Schmidt M 2017 The do-it-yourself movement as a source of innovationin biotechnology - and much more Microb Biotechnol 10 517ndash519 httpdxdoiorg1011111751-791512715

de Lorenzo V Marliegravere P Soleacute R 2016 Bioremediation at a global scale from the testtube to planet Earth Microb Biotechnol 9 618ndash625 httpdxdoiorg1011111751-791512399

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Dvorak P Bidmanova S Damborsky J Prokop Z 2014a Immobilized syntheticpathway for biodegradation of toxic recalcitrant pollutant 123-trichloropropaneEnviron Sci Technol 48 6859ndash6866 httpdxdoiorg101021es500396r

Dvorak P Kurumbang NP Bendl J Brezovsky J Prokop Z Damborsky J 2014bMaximizing the efficiency of multienzyme process by stoichiometry optimizationChembiochem Eur J Chem Biol 15 1891ndash1895 httpdxdoiorg101002cbic201402265

Dvorak P Chrast L Nikel PI Fedr R Soucek K Sedlackova M Chaloupkova Rde Lorenzo V Prokop Z Damborsky J 2015 Exacerbation of substrate toxicity byIPTG in Escherichia coli BL21(DE3) carrying a synthetic metabolic pathway MicrobCell Factories 14 201 httpdxdoiorg101186s12934-015-0393-3

Ebenau-Jehle C Mergelsberg M Fischer S Bruumlls T Jehmlich N von Bergen MBoll M 2017 An unusual strategy for the anoxic biodegradation of phthalate ISMEJ 11 224ndash236 httpdxdoiorg101038ismej201691

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2003 Methods for reliability and uncertainty assessment and for applicability eva-luations of classification- and regression-based QSARs Environ Health Perspect 1111361ndash1375

Escalante AE Rebolleda-Goacutemez M Beniacutetez M Travisano M 2015 Ecological per-spectives on synthetic biology insights from microbial population biology FrontMicrobiol 6 143 httpdxdoiorg103389fmicb201500143

Fernaacutendez-Aacutelvaro E Snajdrova R Jochens H Davids T Boumlttcher D BornscheuerUT 2011 A combination of in vivo selection and cell sorting for the identification ofenantioselective biocatalysts Angew Chem Int Ed Eng 50 8584ndash8587 httpdxdoiorg101002anie201102360

Fibinger MPC Davids T Boumlttcher D Bornscheuer UT 2015 A selection assay forhaloalkane dehalogenase activity based on toxic substrates Appl MicrobiolBiotechnol 99 8955ndash8962 httpdxdoiorg101007s00253-015-6686-y

Finley SD Broadbelt LJ Hatzimanikatis V 2009 Computational framework forpredictive biodegradation Biotechnol Bioeng 104 1086ndash1097 httpdxdoiorg101002bit22489

Finley SD Broadbelt LJ Hatzimanikatis V 2010 In silico feasibility of novel bio-degradation pathways for 124-trichlorobenzene BMC Syst Biol 4 7 httpdxdoiorg1011861752-0509-4-7

Francis CW Mankin JB 1977 High nitrate denitrification in continuous flow-stirredreactors Water Res 11 httpdxdoiorg1010160043-1354(77)90061-6

Fuchs G 2011 Alternative pathways of carbon dioxide fixation insights into the earlyevolution of life Annu Rev Microbiol 65 631ndash658 httpdxdoiorg101146annurev-micro-090110-102801

Gao J Ellis LBM Wackett LP 2010 The University of Minnesota BiocatalysisBiodegradation Database improving public access Nucleic Acids Res 38 D488ndash491httpdxdoiorg101093nargkp771

Gao F Ding H Feng Z Liu D Zhao Y 2014 Functional display of triphenylmethanereductase for dye removal on the surface of Escherichia coli using N-terminal domainof ice nucleation protein Bioresour Technol 169 181ndash187 httpdxdoiorg101016jbiortech201406093

Geueke B Garg N Ghosh S Fleischmann T Holliger C Lal R Kohler H-PE2013 Metabolomics of hexachlorocyclohexane (HCH) transformation ratio of LinAto LinB determines metabolic fate of HCH isomers Environ Microbiol 151040ndash1049 httpdxdoiorg1011111462-292012009

Gilbert ES Walker AW Keasling JD 2003 A constructed microbial consortium forbiodegradation of the organophosphorus insecticide parathion Appl MicrobiolBiotechnol 61 77ndash81 httpdxdoiorg101007s00253-002-1203-5

Glass JI Assad-Garcia N Alperovich N Yooseph S Lewis MR Maruf MHutchison CA Smith HO Venter JC 2006 Essential genes of a minimal bac-terium Proc Natl Acad Sci U S A 103 425ndash430 httpdxdoiorg101073pnas0510013103

Glick BR 1995 Metabolic load and heterologous gene expression Biotechnol Adv 13247ndash261

Guazzaroni M-E Herbst F-A Lores I Tamames J Pelaacuteez AI Loacutepez-Corteacutes NAlcaide M Del Pozo MV Vieites JM von Bergen M Gallego JLR BargielaR Loacutepez-Loacutepez A Pieper DH Rosselloacute-Moacutera R Saacutenchez J Seifert J FerrerM 2013 Metaproteogenomic insights beyond bacterial response to naphthaleneexposure and bio-stimulation ISME J 7 122ndash136 httpdxdoiorg101038ismej201282

Gredell JA Frei CS Cirino PC 2012 Protein and RNA engineering to customizemicrobial molecular reporting Biotechnol J 7 477ndash499 httponlinelibrarywileycomdoi101002biot201100266full

Gutierrez T Singleton DR Berry D Yang T Aitken MD Teske A 2013Hydrocarbon-degrading bacteria enriched by the Deepwater Horizon oil spill iden-tified by cultivation and DNA-SIP ISME J 7 2091ndash2104 httpdxdoiorg101038ismej201398

Hadadi N Hafner J Shajkofci A Zisaki A Hatzimanikatis V 2016 ATLAS ofbiochemistry a repository of all possible biochemical reactions for synthetic biologyand metabolic engineering studies ACS Synth Biol 5 1155ndash1166 httpdxdoiorg101021acssynbio6b00054

Haro MA de Lorenzo V 2001 Metabolic engineering of bacteria for environmentalapplications construction of Pseudomonas strains for biodegradation of 2-chlor-otoluene J Biotechnol 85 103ndash113

Hatzimanikatis V Li C Ionita JA Henry CS Jankowski MD Broadbelt LJ2005 Exploring the diversity of complex metabolic networks Bioinforma Oxf Engl21 1603ndash1609 httpdxdoiorg101093bioinformaticsbti213

He W Yuan S Zhong W-H Siddikee MA Dai C-C 2016 Application of geneti-cally engineered microbial whole-cell biosensors for combined chemosensing ApplMicrobiol Biotechnol 100 1109ndash1119 httpdxdoiorg101007s00253-015-7160-6

Hennig S Roumldel G Ostermann K 2015 Artificial cell-cell communication as anemerging tool in synthetic biology applications J Biol Eng 9 13 httpdxdoiorg101186s13036-015-0011-2

Hicks N Vik U Taylor P Ladoukakis E Park J Kolisis F Jakobsen KS 2017Using prokaryotes for carbon capture storage Trends Biotechnol 35 22ndash32 httpdxdoiorg101016jtibtech201606011

Hodgman CE Jewett MC 2012 Cell-free synthetic biology thinking outside the cellMetab Eng 14 261ndash269 httpdxdoiorg101016jymben201109002

Huang P-S Boyken SE Baker D 2016 The coming of age of de novo protein designNature 537 320ndash327 httpdxdoiorg101038nature19946

Hutchison CA Chuang R-Y Noskov VN Assad-Garcia N Deerinck TJ EllismanMH Gill J Kannan K Karas BJ Ma L Pelletier JF Qi Z-Q Richter RAStrychalski EA Sun L Suzuki Y Tsvetanova B Wise KS Smith HO GlassJI Merryman C Gibson DG Venter JC 2016 Design and synthesis of aminimal bacterial genome Science 351 aad6253 httpdxdoiorg101126

scienceaad6253Iwakiri R Yoshihira K Ngadiman Null Futagami T Goto M Furukawa K 2004

Total degradation of pentachloroethane by an engineered Alcaligenes strain expres-sing a modified camphor monooxygenase and a hybrid dioxygenase BiosciBiotechnol Biochem 68 1353ndash1356 httpdxdoiorg101271bbb681353

Izallalen M Mahadevan R Burgard A Postier B Didonato R Sun J SchillingCH Lovley DR 2008 Geobacter sulfurreducens strain engineered for increasedrates of respiration Metab Eng 10 267ndash275 httpdxdoiorg101016jymben200806005

Janssen DB Dinkla IJT Poelarends GJ Terpstra P 2005 Bacterial degradation ofxenobiotic compounds evolution and distribution of novel enzyme activitiesEnviron Microbiol 7 1868ndash1882 httpdxdoiorg101111j1462-2920200500966x

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Karig DK 2017 Cell-free synthetic biology for environmental sensing and remediationCurr Opin Biotechnol 45 69ndash75 httpdxdoiorg101016jcopbio201701010

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Khersonsky O Tawfik DS 2010 Enzyme promiscuity a mechanistic and evolutionaryperspective Annu Rev Biochem 79 471ndash505 httpdxdoiorg101146annurev-biochem-030409-143718

Kim J Copley SD 2012 Inhibitory cross-talk upon introduction of a new metabolicpathway into an existing metabolic network Proc Natl Acad Sci U S A 109E2856ndash2864 httpdxdoiorg101073pnas1208509109

Kim S Baek S-H Lee K Hahn J-S 2013a Cellulosic ethanol production using ayeast consortium displaying a minicellulosome and β-glucosidase Microb CellFactories 12 14 httpdxdoiorg1011861475-2859-12-14

Kim J Oliveros JC Nikel PI de Lorenzo V Silva-Rocha R 2013b Transcriptomicfingerprinting of Pseudomonas putida under alternative physiological regimesEnviron Microbiol Rep 5 883ndash891 httpdxdoiorg1011111758-222912090

Kim S Thiessen PA Bolton EE Chen J Fu G Gindulyte A Han L He J He SShoemaker BA Wang J Yu B Zhang J Bryant SH 2016 PubChem substanceand compound databases Nucleic Acids Res 44 D1202ndash1213 httpdxdoiorg101093nargkv951

King ZA Lloyd CJ Feist AM Palsson BO 2015 Next-generation genome-scalemodels for metabolic engineering Curr Opin Biotechnol 35 23ndash29 httpdxdoiorg101016jcopbio201412016

Kleinstiver BP Pattanayak V Prew MS Tsai SQ Nguyen NT Zheng Z JoungJK 2016 High-fidelity CRISPR-Cas9 nucleases with no detectable genome-wide off-target effects Nature 529 490ndash495 httpdxdoiorg101038nature16526

Kosuri S Church GM 2014 Large-scale de novo DNA synthesis technologies andapplications Nat Methods 11 499ndash507 httpdxdoiorg101038nmeth2918

Koutinas AA Vlysidis A Pleissner D Kopsahelis N Lopez Garcia I Kookos IKPapanikolaou S Kwan TH Lin CSK 2014 Valorization of industrial waste andby-product streams via fermentation for the production of chemicals and biopoly-mers Chem Soc Rev 43 2587ndash2627 httpdxdoiorg101039c3cs60293a

Krewski D Andersen ME Mantus E Zeise L 2009 Toxicity testing in the 21stcentury implications for human health risk assessment Risk Anal 29 474ndash479httpdxdoiorg101111j1539-6924200801150x

Kube M Chernikova TN Al-Ramahi Y Beloqui A Lopez-Cortez N Guazzaroni M-E Heipieper HJ Klages S Kotsyurbenko OR Langer I Nechitaylo TYLuumlnsdorf H Fernaacutendez M Juaacuterez S Ciordia S Singer A Kagan O Egorova OPetit PA Stogios P Kim Y Tchigvintsev A Flick R Denaro R Genovese MAlbar JP Reva ON Martiacutenez-Gomariz M Tran H Ferrer M Savchenko AYakunin AF Yakimov MM Golyshina OV Reinhardt R Golyshin PN 2013Genome sequence and functional genomic analysis of the oil-degrading bacteriumOleispira antarctica Nat Commun 4 2156 httpdxdoiorg101038ncomms3156

Kuipers RK Joosten H-J van Berkel WJH Leferink NGH Rooijen E IttmannE van Zimmeren F Jochens H Bornscheuer U Vriend G dos Santos VAPMSchaap PJ 2010 3DM systematic analysis of heterogeneous superfamily data todiscover protein functionalities Proteins 78 2101ndash2113 httpdxdoiorg101002prot22725

Kurumbang NP Dvorak P Bendl J Brezovsky J Prokop Z Damborsky J 2014Computer-assisted engineering of the synthetic pathway for biodegradation of a toxicpersistent pollutant ACS Synth Biol 3 172ndash181 httpdxdoiorg101021sb400147n

Latino DARS Wicker J Guumltlein M Schmid E Kramer S Fenner K 2017 Eawag-Soil in enviPath a new resource for exploring regulatory pesticide soil biodegrada-tion pathways and half-life data Environ Sci Processes Impacts 19 449ndash464httpdxdoiorg101039c6em00697c

Lee J Cao L Ow SY Barrios-Llerena ME Chen W Wood TK Wright PC 2006Proteome changes after metabolic engineering to enhance aerobic mineralization ofcis‑12-dichloroethylene J Proteome Res 5 1388ndash1397 httpdxdoiorg101021pr060008t

Lee JW Na D Park JM Lee J Choi S Lee SY 2012 Systems metabolic en-gineering of microorganisms for natural and non-natural chemicals Nat Chem Biol8 536ndash546 httpdxdoiorg101038nchembio970

Lehrbach PR Zeyer J Reineke W Knackmuss HJ Timmis KN 1984 Enzymerecruitment in vitro use of cloned genes to extend the range of haloaromatics de-graded by Pseudomonas sp strain B13 J Bacteriol 158 1025ndash1032

Li G-Q Ma T Li S-S Li H Liang F-L Liu R-L 2007 Improvement of di-benzothiophene desulfurization activity by removing the gene overlap in the dsz

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863

operon Biosci Biotechnol Biochem 71 849ndash854 httpdxdoiorg101271bbb60189

Li Z Yoshida N Wang A Nan J Liang B Zhang C Zhang D Suzuki D Zhou XXiao Z Katayama A 2015 Anaerobic mineralization of 246-tribromophenol toCO2 by a synthetic microbial community comprising Clostridium Dehalobacter andDesulfatiglans Bioresour Technol 176 225ndash232 httpdxdoiorg101016jbiortech201410097

Libis V Deleacutepine B Faulon J-L 2016 Expanding biosensing abilities through com-puter-aided design of metabolic pathways ACS Synth Biol 5 1076ndash1085 httpdxdoiorg101021acssynbio5b00225

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Liu J Tan L Wang J Wang Z Ni H Li L 2016 Complete biodegradation ofchlorpyrifos by engineered Pseudomonas putida cells expressing surface-immobilizedlaccases Chemosphere 157 200ndash207 httpdxdoiorg101016jchemosphere201605031

Loeschcke A Markert A Wilhelm S Wirtz A Rosenau F Jaeger K-E Drepper T2013 TREX a universal tool for the transfer and expression of biosynthetic pathwaysin bacteria ACS Synth Biol 2 22ndash33 httpdxdoiorg101021sb3000657

Long MR Ong WK Reed JL 2015 Computational methods in metabolic en-gineering for strain design Curr Opin Biotechnol 34 135ndash141 httpdxdoiorg101016jcopbio201412019

Lorenzo V Loza-Tavera H 2011 Microbial bioremediation of chemical pollutants howbacteria cope with multi-stress environmental scenarios In Storz G Hengge R(Eds) Bacterial Stress Responses Second edition ASM Press Washington DC pp481ndash492 httpdxdoiorg1011289781555816841ch30

Lovley DR Phillips EJP Gorby YA Landa ER 1991 Microbial reduction of ur-anium Nature 350 413ndash416 httpdxdoiorg101038350413a0

Lykidis A Peacuterez-Pantoja D Ledger T Mavromatis K Anderson IJ Ivanova NNHooper SD Lapidus A Lucas S Gonzaacutelez B Kyrpides NC 2010 The completemultipartite genome sequence of Cupriavidus necator JMP134 a versatile pollutantdegrader PLoS One 5 e9729 httpdxdoiorg101371journalpone0009729

Marathe NP Pal C Gaikwad SS Jonsson V Kristiansson E Larsson DGJ 2017Untreated urban waste contaminates Indian river sediments with resistance genes tolast resort antibiotics Water Res 124 388ndash397 httpdxdoiorg101016jwatres201707060

Martiacutenez I Mohamed ME-S Rozas D Garciacutea JL Diacuteaz E 2016 Engineering syn-thetic bacterial consortia for enhanced desulfurization and revalorization of oil sulfurcompounds Metab Eng 35 46ndash54 httpdxdoiorg101016jymben201601005

Martiacutenez-Garciacutea E de Lorenzo V 2012 Transposon-based and plasmid-based genetictools for editing genomes of gram-negative bacteria Methods Mol Biol 813267ndash283 (Clifton NJ) httpdxdoiorg101007978-1-61779-412-4_16

Martiacutenez-Garciacutea E de Lorenzo V 2016 The quest for the minimal bacterial genomeCurr Opin Biotechnol 42 216ndash224 httpdxdoiorg101016jcopbio201609001

Martiacutenez-Garciacutea E Aparicio T de Lorenzo V Nikel PI 2014a New transposon toolstailored for metabolic engineering of gram-negative microbial cell factories FrontBioeng Biotechnol 2 46 httpdxdoiorg103389fbioe201400046

Martiacutenez-Garciacutea E Nikel PI Aparicio T de Lorenzo V 2014b Pseudomonas 20genetic upgrading of P putida KT2440 as an enhanced host for heterologous geneexpression Microb Cell Factories 13 159 httpdxdoiorg101186s12934-014-0159-3

Martiacutenez-Garciacutea E Aparicio T Gontildei-Moreno A Fraile S de Lorenzo V 2015 SEVA20 an update of the Standard European Vector Architecture for de-re-constructionof bacterial functionalities Nucleic Acids Res 43 D1183ndash1189 httpdxdoiorg101093nargku1114

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Medema MH van Raaphorst R Takano E Breitling R 2012 Computational tools forthe synthetic design of biochemical pathways Nat Rev Microbiol 10 191ndash202httpdxdoiorg101038nrmicro2717

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Minty JJ Singer ME Scholz SA Bae C-H Ahn J-H Foster CE Liao JC LinXN 2013 Design and characterization of synthetic fungal-bacterial consortia fordirect production of isobutanol from cellulosic biomass Proc Natl Acad Sci U S A110 14592ndash14597 httpdxdoiorg101073pnas1218447110

Moraiumls S Shterzer N Lamed R Bayer EA Mizrahi I 2014 A combined cell-con-sortium approach for lignocellulose degradation by specialized Lactobacillus plan-tarum cells Biotechnol Biofuels 7 112 httpdxdoiorg1011861754-6834-7-112

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Belda E Hyka-Nouspikel N Coudert E Redaschi N Bougueleret L SteinbeckC Xenarios I Bridge A 2015 Updates in Rheamdasha manually curated resource ofbiochemical reactions Nucleic Acids Res 43 D459ndash464 httpdxdoiorg101093nargku961

Mulbry W Ahrens E Karns J 1998 Use of a field-scale biofilter for the degradation ofthe organophosphate insecticide coumaphos in cattle dip wastes Pestic Sci 52268ndash274 httpdxdoiorg101002(SICI)1096-9063(199803)523lt268AID-PS719gt30CO2-2

Muschiol J Peters C Oberleitner N Mihovilovic MD Bornscheuer UT Rudroff F2015 Cascade catalysismdashstrategies and challenges en route to preparative syntheticbiology Chem Commun (Camb) 51 5798ndash5811 httpdxdoiorg101039c4cc08752f

Mutlu BR Yeom S Wackett L Aksan A 2015 Modelling and optimization of abioremediation system utilizing silica gel encapsulated whole-cell biocatalyst ChemEng J 259 574ndash580 httpdxdoiorg101016jcej201407130

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Nancharaiah YV Mohan SV Lens PNL 2016 Biological and bioelectrochemicalrecovery of critical and scarce metals Trends Biotechnol 34 137ndash155 httpdxdoiorg101016jtibtech201511003

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Nicolaou SA Gaida SM Papoutsakis ET 2010 A comparative view of metaboliteand substrate stress and tolerance in microbial bioprocessing from biofuels andchemicals to biocatalysis and bioremediation Metab Eng 12 307ndash331 httpdxdoiorg101016jymben201003004

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Nielsen AAK Der BS Shin J Vaidyanathan P Paralanov V Strychalski EARoss D Densmore D Voigt CA 2016 Genetic circuit design automation Science352 aac7341 httpdxdoiorg101126scienceaac7341

Nikel PI de Lorenzo V 2013 Engineering an anaerobic metabolic regime inPseudomonas putida KT2440 for the anoxic biodegradation of 13-dichloroprop-1-eneMetab Eng 15 98ndash112 httpdxdoiorg101016jymben201209006

Nikel PI Peacuterez-Pantoja D de Lorenzo V 2013 Why are chlorinated pollutants sodifficult to degrade aerobically Redox stress limits 13-dichloroprop-1-ene metabo-lism by Pseudomonas pavonaceae Philos Trans R Soc Lond Ser B Biol Sci 36820120377 httpdxdoiorg101098rstb20120377

Nikel PI Martiacutenez-Garciacutea E de Lorenzo V 2014 Biotechnological domestication ofpseudomonads using synthetic biology Nat Rev Microbiol 12 368ndash379 httpdxdoiorg101038nrmicro3253

Nikel PI Chavarriacutea M Fuhrer T Sauer U de Lorenzo V 2015 Pseudomonas putidaKT2440 strain metabolizes glucose through a cycle formed by enzymes of the Entner-Doudoroff Embden-Meyerhof-Parnas and pentose phosphate pathways J BiolChem 290 25920ndash25932 httpdxdoiorg101074jbcM115687749

Nikel PI Chavarriacutea M Danchin A de Lorenzo V 2016a From dirt to industrialapplications Pseudomonas putida as a synthetic biology chassis for hosting harshbiochemical reactions Curr Opin Chem Biol 34 20ndash29 httpdxdoiorg101016jcbpa201605011

Nikel PI Peacuterez-Pantoja D de Lorenzo V 2016b Pyridine nucleotide transhy-drogenases enable redox balance of Pseudomonas putida during biodegradation ofaromatic compounds Environ Microbiol 18 3565ndash3582 httpdxdoiorg1011111462-292013434

Nyerges Aacute Csoumlrgő B Nagy I Baacutelint B Bihari P Laacutezaacuter V Apjok G UmenhofferK Bogos B Poacutesfai G Paacutel C 2016 A highly precise and portable genome en-gineering method allows comparison of mutational effects across bacterial speciesProc Natl Acad Sci U S A 113 2502ndash2507 httpdxdoiorg101073pnas1520040113

Ohtsubo Y Maruyama F Mitsui H Nagata Y Tsuda M 2012 Complete genomesequence of Acidovorax sp strain KKS102 a polychlorinated-biphenyl degrader JBacteriol 194 6970ndash6971 httpdxdoiorg101128JB01848-12

Oide S Gunji W Moteki Y Yamamoto S Suda M Jojima T Yukawa H Inui M2015 Thermal and solvent stress cross-tolerance conferred to Corynebacterium glu-tamicum by adaptive laboratory evolution Appl Environ Microbiol 81 2284ndash2298httpdxdoiorg101128AEM03973-14

Oosterkamp MJ Veuskens T Talarico Saia F Weelink SAB Goodwin LADaligault HE Bruce DC Detter JC Tapia R Han CS Land ML Hauser LJLangenhoff AAM Gerritse J van Berkel WJH Pieper DH Junca H SmidtH Schraa G Davids M Schaap PJ Plugge CM Stams AJM 2013 Genomeanalysis and physiological comparison of Alicycliphilus denitrificans strains BC andK601(T) PLoS One 8 e66971 httpdxdoiorg101371journalpone0066971

Paddon CJ Keasling JD 2014 Semi-synthetic artemisinin a model for the use ofsynthetic biology in pharmaceutical development Nat Rev Microbiol 12 355ndash367httpdxdoiorg101038nrmicro3240

Parales RE Ditty JL 2005 Laboratory evolution of catabolic enzymes and pathwaysCurr Opin Biotechnol 16 315ndash325 httpdxdoiorg101016jcopbio200503008

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Pascual J Udaondo Z Molina L Segura A Esteve-Nuacutentildeez A Caballero A DuqueE Ramos JL van Dillewijn P 2015 Draft genome sequence of Pseudomonas putidaJLR11 a facultative anaerobic 246-trinitrotoluene biotransforming bacteriumGenome Announc 3 httpdxdoiorg101128genomeA00904-15

Patil VV Park K-H Lee S-G Woo E 2016 Structural analysis of the phenol-re-sponsive sensory domain of the transcription activator PoxR Structure 1993 (24)624ndash630 (Lond Engl) httpdxdoiorg101016jstr201603006

Patowary K Patowary R Kalita MC Deka S 2016 Development of an efficientbacterial consortium for the potential remediation of hydrocarbons from con-taminated sites Front Microbiol 7 1092 httpdxdoiorg103389fmicb201601092

Paul D Pandey G Jain RK 2005 Suicidal genetically engineered microorganisms forbioremediation need and perspectives Bioessays 27 563ndash573 httpdxdoiorg101002bies20220

Pavlova M Klvana M Prokop Z Chaloupkova R Banas P Otyepka M Wade RCTsuda M Nagata Y Damborsky J 2009 Redesigning dehalogenase access tunnelsas a strategy for degrading an anthropogenic substrate Nat Chem Biol 5 727ndash733httpdxdoiorg101038nchembio205

Petrie B Barden R Kasprzyk-Hordern B 2015 A review on emerging contaminants inwastewaters and the environment current knowledge understudied areas and re-commendations for future monitoring In Water Res Occurrence Fate Removal andAssessment of Emerging Contaminants in Water in the Water Cycle (FromWastewater to Drinking Water) 72 pp 3ndash27 httpdxdoiorg101016jwatres201408053

Planson A-G Carbonell P Paillard E Pollet N Faulon J-L 2012 Compoundtoxicity screening and structure-activity relationship modeling in Escherichia coliBiotechnol Bioeng 109 846ndash850 httpdxdoiorg101002bit24356

Puchałka J Oberhardt MA Godinho M Bielecka A Regenhardt D Timmis KNPapin JA Martins dos Santos VAP 2008 Genome-scale reconstruction andanalysis of the Pseudomonas putida KT2440 metabolic network facilitates applicationsin biotechnology PLoS Comput Biol 4 e1000210 httpdxdoiorg101371journalpcbi1000210

Ramos JL Wasserfallen A Rose K Timmis KN 1987 Redesigning metabolicroutes manipulation of TOL plasmid pathway for catabolism of alkylbenzoatesScience 235 593ndash596

Ramos J-L Marqueacutes S van Dillewijn P Espinosa-Urgel M Segura A Duque EKrell T Ramos-Gonzaacutelez M-I Bursakov S Roca A Solano J Fernaacutedez MNiqui JL Pizarro-Tobias P Wittich R-M 2011 Laboratory research aimed atclosing the gaps in microbial bioremediation Trends Biotechnol 29 641ndash647httpdxdoiorg101016jtibtech201106007

Ran FA Hsu PD Wright J Agarwala V Scott DA Zhang F 2013 Genome en-gineering using the CRISPR-Cas9 system Nat Protoc 8 2281ndash2308 httpdxdoiorg101038nprot2013143

Raunio H Kuusisto M Juvonen RO Pentikaumlinen OT 2015 Modeling of interac-tions between xenobiotics and cytochrome P450 (CYP) enzymes Front Pharmacol 6123 httpdxdoiorg103389fphar201500123

Ravikumar S Baylon MG Park SJ Choi J-I 2017 Engineered microbial biosensorsbased on bacterial two-component systems as synthetic biotechnology platforms inbioremediation and biorefinery Microb Cell Factories 16 62 httpdxdoiorg101186s12934-017-0675-z

Raymond RL Jamison VW Hudson JO 1975 Final Report on BeneficialStimulation of Bacterial Activity in Ground Waters Containing Petroleum ProductsSun Ventures Incorporated

Reineke W Knackmuss HJ 1979 Construction of haloaromatics utilising bacteriaNature 277 385ndash386

Renata H Wang ZJ Arnold FH 2015 Expanding the enzyme universe accessingnon-natural reactions by mechanism-guided directed evolution Angew Chem IntEd Eng 54 3351ndash3367 httpdxdoiorg101002anie201409470

Rockstroumlm J Gaffney O Rogelj J Meinshausen M Nakicenovic N SchellnhuberHJ 2017 A roadmap for rapid decarbonization Science 355 1269ndash1271 httpdxdoiorg101126scienceaah3443

Rojo F Pieper DH Engesser KH Knackmuss HJ Timmis KN 1987 Assemblageof ortho cleavage route for simultaneous degradation of chloro- and methylaromaticsScience 238 1395ndash1398

Rollin JA Martin del Campo J Myung S Sun F You C Bakovic A Castro RChandrayan SK Wu C-H Adams MWW Senger RS Zhang Y-HP 2015High-yield hydrogen production from biomass by in vitro metabolic engineeringmixed sugars coutilization and kinetic modeling Proc Natl Acad Sci U S A 1124964ndash4969 httpdxdoiorg101073pnas1417719112

Rui L Kwon YM Reardon KF Wood TK 2004 Metabolic pathway engineering toenhance aerobic degradation of chlorinated ethenes and to reduce their toxicity bycloning a novel glutathione S-transferase an evolved toluene o-monooxygenase andgamma-glutamylcysteine synthetase Environ Microbiol 6 491ndash500 httpdxdoiorg101111j1462-2920200400586x

Samin G Janssen DB 2012 Transformation and biodegradation of 123-tri-chloropropane (TCP) Environ Sci Pollut Res Int 19 3067ndash3078 httpdxdoiorg101007s11356-012-0859-3

Samin G Pavlova M Arif MI Postema CP Damborsky J Janssen DB 2014 Apseudomonas putida strain genetically engineered for 123-trichloropropane bior-emediation Appl Environ Microbiol 80 5467ndash5476 httpdxdoiorg101128AEM01620-14

Santacoloma PA Sin G Gernaey KV Woodley JM 2011 Multienzyme-catalyzedprocesses next-generation biocatalysis Org Process Res Dev 15 203ndash212 httpdxdoiorg101021op1002159

Santos CNS Yoshikuni Y 2014 Engineering complex biological systems in bacteriathrough recombinase-assisted genome engineering Nat Protoc 9 1320ndash1336

httpdxdoiorg101038nprot2014084Sarigiannis DA Hansen U 2012 Considering the cumulative risk of mixtures of

chemicals - a challenge for policy makers Environ Health 11 (Suppl 1) S18 httpdxdoiorg1011861476-069X-11-S1-S18

Schallmey M Frunzke J Eggeling L Marienhagen J 2014 Looking for the pick ofthe bunch high-throughput screening of producing microorganisms with biosensorsCurr Opin Biotechnol 26 148ndash154 httpdxdoiorg101016jcopbio201401005

Schellenberger J Que R Fleming RMT Thiele I Orth JD Feist AM ZielinskiDC Bordbar A Lewis NE Rahmanian S Kang J Hyduke DR Palsson BOslash2011 Quantitative prediction of cellular metabolism with constraint-based modelsthe COBRA Toolbox v20 Nat Protoc 6 1290ndash1307 httpdxdoiorg101038nprot2011308

Schmidt M 2010 Xenobiology a new form of life as the ultimate biosafety toolBioessays 32 322ndash331 httpdxdoiorg101002bies200900147

Schmidt M (Ed) 2012 Synthetic Biology Industrial and Environmental Applications1st edition Wiley-Blackwell

Schmidt M de Lorenzo V 2016 Synthetic bugs on the loose containment options fordeeply engineered (micro)organisms Curr Opin Biotechnol 38 90ndash96 httpdxdoiorg101016jcopbio201601006

Schwander T Schada von Borzyskowski L Burgener S Cortina NS Erb TJ 2016A synthetic pathway for the fixation of carbon dioxide in vitro Science 354 900ndash904httpdxdoiorg101126scienceaah5237

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Sheldon RA 2011 Characteristic features and biotechnological applications of cross-linked enzyme aggregates (CLEAs) Appl Microbiol Biotechnol 92 467ndash477 httpdxdoiorg101007s00253-011-3554-2

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Si T Xiao H Zhao H 2015 Rapid prototyping of microbial cell factories via genome-scale engineering Biotechnol Adv 33 1420ndash1432 httpdxdoiorg101016jbiotechadv201411007

Silva-Rocha R de Lorenzo V 2014 Engineering multicellular logic in bacteria withmetabolic wires ACS Synth Biol 3 204ndash209 httpdxdoiorg101021sb400064y

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Skariyachan S Manjunatha V Sultana S Jois C Bai V Vasist KS 2016 Novelbacterial consortia isolated from plastic garbage processing areas demonstrated en-hanced degradation for low density polyethylene Environ Sci Pollut Res Int 2318307ndash18319 httpdxdoiorg101007s11356-016-7000-y

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Wang B Kitney RI Joly N Buck M 2011 Engineering modular and orthogonalgenetic logic gates for robust digital-like synthetic biology Nat Commun 2 508httpdxdoiorg101038ncomms1516

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Wang B Barahona M Buck M 2013 A modular cell-based biosensor using engineeredgenetic logic circuits to detect and integrate multiple environmental signals BiosensBioelectron 40 368ndash376 httpdxdoiorg101016jbios201208011

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P Dvořaacutek et al Biotechnology Advances 35 (2017) 845ndash866

866

  • Bioremediation 30 Engineering pollutant-removing bacteria in the times of systemic biology
    • Introduction
    • Approaches and tools of systems biology and metabolic engineering for tailoring biodegradation pathways
      • Step 1 get to know the contaminant and find a suitable catabolic pathway
        • Databases
        • Pathway prediction systems and toxicity prediction algorithms
        • Detection and quantification of pathway building blocks
          • Step 2 select and get to know a suitable microbial host
            • Omics techniques in studies of bacterial degraders
              • Step 3 build the pathway and optimize its performance in the context of host metabolism
                • Computational tools for pathway and strain optimization
                • Experimental tools for pathway and strain optimization
                • Protein engineering to eliminate bottlenecks of biodegradation pathways
                    • Synthetic biology approaches and tools for biodegradation pathway engineering
                      • Development of robust microbial chassis for biodegradation of toxic chemicals
                      • Development of synthetic microbial consortia for enhanced biodegradation and bioremediation of pollutants
                      • Development of orthogonal systems in bacteria to enhance pollutant biodegradation and bioremediation
                      • Engineering microbial biodegradation pathways in vitro
                        • Towards planet-wide bioremediation interventions CO2 capture as a large-scale challenge
                        • Conclusions and perspectives
                        • Acknowledgements
                        • References
                        • Web references
Page 17: Bioremediation 3.0 Engineering pollutant-removing bacteria ... · biology, metabolic engineering, and synthetic biology, for the sake of understanding and reprograming biological

1981) In biodegradation research exposing microorganisms with de-sirable catabolic traits to the target chemical(s) for prolonged intervalsin chemostat or shaken-flask cultures enabled isolation of bacteria ableto use persistent compounds such as 245-trichlorophenoxyacetic acid(the defoliating Agent Orange) or helped improve atrazine degradationrates by Pseudomonas sp ADP or 24-dichlorophenoxyacetic by Ral-stonia sp TFD41 (Devers et al 2008 Kellogg et al 1981 Nakatsuet al 1998) Nonetheless the potential of ALE in engineering microbialdegraders has yet not been fully exploited ALE will be an ideal tool forempowering rationally pre-designed recombinants with resistance todiverse environmental stresses encountered in directed biodegradationprocesses or in polluted ecosystems (Nicolaou et al 2010 Oide et al2015 Wang et al 2016) When combined with whole-genome se-quencing and reverse engineering ALE as an evolutionary ldquoblindrdquo ap-proach can paradoxically contribute to further rationalizing the field byexposing otherwise unpredictable complex changes in multitrait phe-notypes

The second approach bets on technology without compromise andwill take advantage of continuing technological revolution in biologyand related sciences We recently witnessed the attempt of syntheticbiologists to implement automation as we know it from electronic en-gineering in the design of orthogonal genetic circuits that would co-ordinate the actions of selected microbial chassis (Nielsen et al 2016)The genetic ldquogutsrdquo and pathway enzymes of the chassis can be designedand synthesized de novo or be tailored rapidly with surgical precisionusing new genome editing and protein engineering tools (Huang et al2016 Hutchison et al 2016 Nyerges et al 2016 Ran et al 2013Renata et al 2015) Although the circuit design tools still work pre-dominantly with simple logic gates the robustness and utility of theavailable minimal cells is limited and de novo-designed enzymes havelow activity we can assume that the efficiency reliability and timedemand of such exercises will be further improved by progress incomputer science and artificial intelligence development that couldcrack the complexity of life A purely technological approach wouldomit any unknowns from the DBTA cycle with help of reliable com-putational simulations thus expanding it to DSBTA (Design-Simulate-Build-Test-Analyze) and providing space for construction of whole-cellcatalysts perfectly tailored for specific biodegradation tasks

The challenges of both approaches applied to directed in situ bior-emediation encompass the development of test schemes that will ex-pose engineered organisms to mimicked environmental conditions in-cluding limiting carbon sources lack of oxygen or redox recycling masstransfer perturbations or interspecific predation (Meckenstock et al2015) A critical issue will be the choice and establishment of newchassis organisms better suited to field biotransformations than thecurrently available laboratory strains in terms of resistance to harshconditions including extreme pH temperature osmotic pressure orfluctuating concentrations of toxic chemicals (Adams 2016) Thesenew strains must simultaneously be reliable amenable to genetic ma-nipulation have mapped genomes and ideally metabolic models athand The in situ bioremediation quests will be complicated by thevarying nature of polluting compounds their mixtures and transfor-mation products all of which can be present at a single site (Sarigiannisand Hansen 2012) Future microbial degraders must therefore be de-signed to cope with several problem compounds in parallel and notonly in terms of degradation or mineralization The succesful conver-sion of dangerous contaminants into usable molecules that can be fur-ther valorized by whole-cell or cell-free biocatalysts is a desirablestarting point for the development of new technologies that extendstandard concepts of biodegradation and bioremediation (Dvorak et al2014a Wigginton et al 2012) Microbe-driven trash-to-treasure con-versions are known from established biomass valorization processesbut this concept can also be implemented in wastewater treatmentmetal and plastic recycling or in direct valorization of industrial by-product streams or captured greenhouse gases (Bornscheuer 2016Koutinas et al 2014 Nancharaiah et al 2016 Wierckx et al 2015)

Even so the major challenge to the entire field of engineered de-graders is not related to continued progress in the development of im-proved technologies which is inevitable but rather to the dissemina-tion and popularization of achievements already attained Publicenvironmental concerns and regulatory constraints have not just re-stricted field tests of genetically modified microbes but also affect thequality of fundamental research and by the same token overall pro-gress in the field The exercises described in this review will only have achance to become real enterprises if the general population is inspiredby biotechnology and accepts it as an inseparable part of our dailyroutine as it did for information technology The new systemic dis-ciplines that make life less puzzling as well as emerging do-it-yourselfmovement in biotechnology can undoubtedly contribute to a generalchange of attitude (de Lorenzo and Schmidt 2017) Such change isvital because our ability to minimize production of waste and pollutingchemicals remove existing waste or use it in bioprocesses to formvalue-added compounds will shape the fate of our society on a globalscale

Acknowledgements

PD is the holder of the Marie Sklodowska-Curie grant No 704410(FUTURE) The work in Authors Laboratory was funded by theCAMBIOS Project of the Spanish Ministry of Economy andCompetitiveness RTC-2014-1777-3 (MINECO) HELIOS Project of theSpanish Ministry of Economy and Competitiveness BIO 2015-66960-C3-2-R (MINECOFEDER) and the ARISYS (ERC-2012-ADG-322797)EmPowerPutida (EU-H2020-BIOTEC-2014-2015-6335536) andRaft4Biotech (720776) contracts of the European Union JD is sup-ported also by the Czech Ministry of Education (LQ1605 LO1214LM2015055) and Czech Grant Agency (GA16-06096S) The financialsupport of The Novo Nordisk Foundation to PIN is also gratefully ac-knowledged

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Chen Y Kim JK Hirning AJ Josić K Bennett MR 2015 Synthetic biologyEmergent genetic oscillations in a synthetic microbial consortium Science 349986ndash989 httpdxdoiorg101126scienceaaa3794

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Choi S-L Rha E Lee SJ Kim H Kwon K Jeong Y-S Rhee YH Song JJ KimH-S Lee S-G 2014 Toward a generalized and high-throughput enzyme screeningsystem based on artificial genetic circuits ACS Synth Biol 3 163ndash171 httpdxdoiorg101021sb400112u

Chowdhury A Zomorrodi AR Maranas CD 2014 k-OptForce integrating kineticswith flux balance analysis for strain design PLoS Comput Biol 10 e1003487 httpdxdoiorg101371journalpcbi1003487

Chowdhury A Khodayari A Maranas CD 2015 Improving prediction fidelity ofcellular metabolism with kinetic descriptions Curr Opin Biotechnol 36 57ndash64httpdxdoiorg101016jcopbio201508011

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Dai Z Nielsen J 2015 Advancing metabolic engineering through systems biology ofindustrial microorganisms Curr Opin Biotechnol 36 8ndash15 httpdxdoiorg101016jcopbio201508006

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de Lorenzo V 2008 Systems biology approaches to bioremediation Curr OpinBiotechnol 19 579ndash589 httpdxdoiorg101016jcopbio200810004

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de Lorenzo V 2017 Seven microbial bio-processes to help the planet EnvironMicrobiol httponlinelibrarywileycomdoi1011111751-791512816full

de Lorenzo V Danchin A 2008 Synthetic biology discovering new worlds and newwords EMBO Rep 9 822ndash827 httpdxdoiorg101038embor2008159

de Lorenzo V Schmidt M 2017 The do-it-yourself movement as a source of innovationin biotechnology - and much more Microb Biotechnol 10 517ndash519 httpdxdoiorg1011111751-791512715

de Lorenzo V Marliegravere P Soleacute R 2016 Bioremediation at a global scale from the testtube to planet Earth Microb Biotechnol 9 618ndash625 httpdxdoiorg1011111751-791512399

Dehghanifard E Jonidi Jafari A Rezaei Kalantary R Mahvi AH Faramarzi MAEsrafili A 2013 Biodegradation of 24-dinitrophenol with laccase immobilized onnano-porous silica beads Iranian J Environ Health Sci Eng 10 httpdxdoiorg1011861735-2746-10-25

Deleacutepine B Libis V Carbonell P Faulon J-L 2016 SensiPath computer-aided de-sign of sensing-enabling metabolic pathways Nucleic Acids Res 44 W226ndash231httpdxdoiorg101093nargkw305

Devers M Rouard N Martin-Laurent F 2008 Fitness drift of an atrazine-degradingpopulation under atrazine selection pressure Environ Microbiol 10 676ndash684httpdxdoiorg101111j1462-2920200701490x

Dombrowski N Donaho JA Gutierrez T Seitz KW Teske AP Baker BJ 2016Reconstructing metabolic pathways of hydrocarbon-degrading bacteria from theDeepwater Horizon oil spill Nat Microbiol 1 16057 httpdxdoiorg101038nmicrobiol201657

Doumlrr M Fibinger MPC Last D Schmidt S Santos-Aberturas J Boumlttcher DHummel A Vickers C Voss M Bornscheuer UT 2016 Fully automatized high-throughput enzyme library screening using a robotic platform Biotechnol Bioeng113 1421ndash1432 httpdxdoiorg101002bit25925

Dvorak P Bidmanova S Damborsky J Prokop Z 2014a Immobilized syntheticpathway for biodegradation of toxic recalcitrant pollutant 123-trichloropropaneEnviron Sci Technol 48 6859ndash6866 httpdxdoiorg101021es500396r

Dvorak P Kurumbang NP Bendl J Brezovsky J Prokop Z Damborsky J 2014bMaximizing the efficiency of multienzyme process by stoichiometry optimizationChembiochem Eur J Chem Biol 15 1891ndash1895 httpdxdoiorg101002cbic201402265

Dvorak P Chrast L Nikel PI Fedr R Soucek K Sedlackova M Chaloupkova Rde Lorenzo V Prokop Z Damborsky J 2015 Exacerbation of substrate toxicity byIPTG in Escherichia coli BL21(DE3) carrying a synthetic metabolic pathway MicrobCell Factories 14 201 httpdxdoiorg101186s12934-015-0393-3

Ebenau-Jehle C Mergelsberg M Fischer S Bruumlls T Jehmlich N von Bergen MBoll M 2017 An unusual strategy for the anoxic biodegradation of phthalate ISMEJ 11 224ndash236 httpdxdoiorg101038ismej201691

Erb TJ Zarzycki J 2016 Biochemical and synthetic biology approaches to improvephotosynthetic CO2-fixation Curr Opin Chem Biol 34 72ndash79 httpdxdoiorg101016jcbpa201606026

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Escalante AE Rebolleda-Goacutemez M Beniacutetez M Travisano M 2015 Ecological per-spectives on synthetic biology insights from microbial population biology FrontMicrobiol 6 143 httpdxdoiorg103389fmicb201500143

Fernaacutendez-Aacutelvaro E Snajdrova R Jochens H Davids T Boumlttcher D BornscheuerUT 2011 A combination of in vivo selection and cell sorting for the identification ofenantioselective biocatalysts Angew Chem Int Ed Eng 50 8584ndash8587 httpdxdoiorg101002anie201102360

Fibinger MPC Davids T Boumlttcher D Bornscheuer UT 2015 A selection assay forhaloalkane dehalogenase activity based on toxic substrates Appl MicrobiolBiotechnol 99 8955ndash8962 httpdxdoiorg101007s00253-015-6686-y

Finley SD Broadbelt LJ Hatzimanikatis V 2009 Computational framework forpredictive biodegradation Biotechnol Bioeng 104 1086ndash1097 httpdxdoiorg101002bit22489

Finley SD Broadbelt LJ Hatzimanikatis V 2010 In silico feasibility of novel bio-degradation pathways for 124-trichlorobenzene BMC Syst Biol 4 7 httpdxdoiorg1011861752-0509-4-7

Francis CW Mankin JB 1977 High nitrate denitrification in continuous flow-stirredreactors Water Res 11 httpdxdoiorg1010160043-1354(77)90061-6

Fuchs G 2011 Alternative pathways of carbon dioxide fixation insights into the earlyevolution of life Annu Rev Microbiol 65 631ndash658 httpdxdoiorg101146annurev-micro-090110-102801

Gao J Ellis LBM Wackett LP 2010 The University of Minnesota BiocatalysisBiodegradation Database improving public access Nucleic Acids Res 38 D488ndash491httpdxdoiorg101093nargkp771

Gao F Ding H Feng Z Liu D Zhao Y 2014 Functional display of triphenylmethanereductase for dye removal on the surface of Escherichia coli using N-terminal domainof ice nucleation protein Bioresour Technol 169 181ndash187 httpdxdoiorg101016jbiortech201406093

Geueke B Garg N Ghosh S Fleischmann T Holliger C Lal R Kohler H-PE2013 Metabolomics of hexachlorocyclohexane (HCH) transformation ratio of LinAto LinB determines metabolic fate of HCH isomers Environ Microbiol 151040ndash1049 httpdxdoiorg1011111462-292012009

Gilbert ES Walker AW Keasling JD 2003 A constructed microbial consortium forbiodegradation of the organophosphorus insecticide parathion Appl MicrobiolBiotechnol 61 77ndash81 httpdxdoiorg101007s00253-002-1203-5

Glass JI Assad-Garcia N Alperovich N Yooseph S Lewis MR Maruf MHutchison CA Smith HO Venter JC 2006 Essential genes of a minimal bac-terium Proc Natl Acad Sci U S A 103 425ndash430 httpdxdoiorg101073pnas0510013103

Glick BR 1995 Metabolic load and heterologous gene expression Biotechnol Adv 13247ndash261

Guazzaroni M-E Herbst F-A Lores I Tamames J Pelaacuteez AI Loacutepez-Corteacutes NAlcaide M Del Pozo MV Vieites JM von Bergen M Gallego JLR BargielaR Loacutepez-Loacutepez A Pieper DH Rosselloacute-Moacutera R Saacutenchez J Seifert J FerrerM 2013 Metaproteogenomic insights beyond bacterial response to naphthaleneexposure and bio-stimulation ISME J 7 122ndash136 httpdxdoiorg101038ismej201282

Gredell JA Frei CS Cirino PC 2012 Protein and RNA engineering to customizemicrobial molecular reporting Biotechnol J 7 477ndash499 httponlinelibrarywileycomdoi101002biot201100266full

Gutierrez T Singleton DR Berry D Yang T Aitken MD Teske A 2013Hydrocarbon-degrading bacteria enriched by the Deepwater Horizon oil spill iden-tified by cultivation and DNA-SIP ISME J 7 2091ndash2104 httpdxdoiorg101038ismej201398

Hadadi N Hafner J Shajkofci A Zisaki A Hatzimanikatis V 2016 ATLAS ofbiochemistry a repository of all possible biochemical reactions for synthetic biologyand metabolic engineering studies ACS Synth Biol 5 1155ndash1166 httpdxdoiorg101021acssynbio6b00054

Haro MA de Lorenzo V 2001 Metabolic engineering of bacteria for environmentalapplications construction of Pseudomonas strains for biodegradation of 2-chlor-otoluene J Biotechnol 85 103ndash113

Hatzimanikatis V Li C Ionita JA Henry CS Jankowski MD Broadbelt LJ2005 Exploring the diversity of complex metabolic networks Bioinforma Oxf Engl21 1603ndash1609 httpdxdoiorg101093bioinformaticsbti213

He W Yuan S Zhong W-H Siddikee MA Dai C-C 2016 Application of geneti-cally engineered microbial whole-cell biosensors for combined chemosensing ApplMicrobiol Biotechnol 100 1109ndash1119 httpdxdoiorg101007s00253-015-7160-6

Hennig S Roumldel G Ostermann K 2015 Artificial cell-cell communication as anemerging tool in synthetic biology applications J Biol Eng 9 13 httpdxdoiorg101186s13036-015-0011-2

Hicks N Vik U Taylor P Ladoukakis E Park J Kolisis F Jakobsen KS 2017Using prokaryotes for carbon capture storage Trends Biotechnol 35 22ndash32 httpdxdoiorg101016jtibtech201606011

Hodgman CE Jewett MC 2012 Cell-free synthetic biology thinking outside the cellMetab Eng 14 261ndash269 httpdxdoiorg101016jymben201109002

Huang P-S Boyken SE Baker D 2016 The coming of age of de novo protein designNature 537 320ndash327 httpdxdoiorg101038nature19946

Hutchison CA Chuang R-Y Noskov VN Assad-Garcia N Deerinck TJ EllismanMH Gill J Kannan K Karas BJ Ma L Pelletier JF Qi Z-Q Richter RAStrychalski EA Sun L Suzuki Y Tsvetanova B Wise KS Smith HO GlassJI Merryman C Gibson DG Venter JC 2016 Design and synthesis of aminimal bacterial genome Science 351 aad6253 httpdxdoiorg101126

scienceaad6253Iwakiri R Yoshihira K Ngadiman Null Futagami T Goto M Furukawa K 2004

Total degradation of pentachloroethane by an engineered Alcaligenes strain expres-sing a modified camphor monooxygenase and a hybrid dioxygenase BiosciBiotechnol Biochem 68 1353ndash1356 httpdxdoiorg101271bbb681353

Izallalen M Mahadevan R Burgard A Postier B Didonato R Sun J SchillingCH Lovley DR 2008 Geobacter sulfurreducens strain engineered for increasedrates of respiration Metab Eng 10 267ndash275 httpdxdoiorg101016jymben200806005

Janssen DB Dinkla IJT Poelarends GJ Terpstra P 2005 Bacterial degradation ofxenobiotic compounds evolution and distribution of novel enzyme activitiesEnviron Microbiol 7 1868ndash1882 httpdxdoiorg101111j1462-2920200500966x

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Karig DK 2017 Cell-free synthetic biology for environmental sensing and remediationCurr Opin Biotechnol 45 69ndash75 httpdxdoiorg101016jcopbio201701010

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Khersonsky O Tawfik DS 2010 Enzyme promiscuity a mechanistic and evolutionaryperspective Annu Rev Biochem 79 471ndash505 httpdxdoiorg101146annurev-biochem-030409-143718

Kim J Copley SD 2012 Inhibitory cross-talk upon introduction of a new metabolicpathway into an existing metabolic network Proc Natl Acad Sci U S A 109E2856ndash2864 httpdxdoiorg101073pnas1208509109

Kim S Baek S-H Lee K Hahn J-S 2013a Cellulosic ethanol production using ayeast consortium displaying a minicellulosome and β-glucosidase Microb CellFactories 12 14 httpdxdoiorg1011861475-2859-12-14

Kim J Oliveros JC Nikel PI de Lorenzo V Silva-Rocha R 2013b Transcriptomicfingerprinting of Pseudomonas putida under alternative physiological regimesEnviron Microbiol Rep 5 883ndash891 httpdxdoiorg1011111758-222912090

Kim S Thiessen PA Bolton EE Chen J Fu G Gindulyte A Han L He J He SShoemaker BA Wang J Yu B Zhang J Bryant SH 2016 PubChem substanceand compound databases Nucleic Acids Res 44 D1202ndash1213 httpdxdoiorg101093nargkv951

King ZA Lloyd CJ Feist AM Palsson BO 2015 Next-generation genome-scalemodels for metabolic engineering Curr Opin Biotechnol 35 23ndash29 httpdxdoiorg101016jcopbio201412016

Kleinstiver BP Pattanayak V Prew MS Tsai SQ Nguyen NT Zheng Z JoungJK 2016 High-fidelity CRISPR-Cas9 nucleases with no detectable genome-wide off-target effects Nature 529 490ndash495 httpdxdoiorg101038nature16526

Kosuri S Church GM 2014 Large-scale de novo DNA synthesis technologies andapplications Nat Methods 11 499ndash507 httpdxdoiorg101038nmeth2918

Koutinas AA Vlysidis A Pleissner D Kopsahelis N Lopez Garcia I Kookos IKPapanikolaou S Kwan TH Lin CSK 2014 Valorization of industrial waste andby-product streams via fermentation for the production of chemicals and biopoly-mers Chem Soc Rev 43 2587ndash2627 httpdxdoiorg101039c3cs60293a

Krewski D Andersen ME Mantus E Zeise L 2009 Toxicity testing in the 21stcentury implications for human health risk assessment Risk Anal 29 474ndash479httpdxdoiorg101111j1539-6924200801150x

Kube M Chernikova TN Al-Ramahi Y Beloqui A Lopez-Cortez N Guazzaroni M-E Heipieper HJ Klages S Kotsyurbenko OR Langer I Nechitaylo TYLuumlnsdorf H Fernaacutendez M Juaacuterez S Ciordia S Singer A Kagan O Egorova OPetit PA Stogios P Kim Y Tchigvintsev A Flick R Denaro R Genovese MAlbar JP Reva ON Martiacutenez-Gomariz M Tran H Ferrer M Savchenko AYakunin AF Yakimov MM Golyshina OV Reinhardt R Golyshin PN 2013Genome sequence and functional genomic analysis of the oil-degrading bacteriumOleispira antarctica Nat Commun 4 2156 httpdxdoiorg101038ncomms3156

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Kurumbang NP Dvorak P Bendl J Brezovsky J Prokop Z Damborsky J 2014Computer-assisted engineering of the synthetic pathway for biodegradation of a toxicpersistent pollutant ACS Synth Biol 3 172ndash181 httpdxdoiorg101021sb400147n

Latino DARS Wicker J Guumltlein M Schmid E Kramer S Fenner K 2017 Eawag-Soil in enviPath a new resource for exploring regulatory pesticide soil biodegrada-tion pathways and half-life data Environ Sci Processes Impacts 19 449ndash464httpdxdoiorg101039c6em00697c

Lee J Cao L Ow SY Barrios-Llerena ME Chen W Wood TK Wright PC 2006Proteome changes after metabolic engineering to enhance aerobic mineralization ofcis‑12-dichloroethylene J Proteome Res 5 1388ndash1397 httpdxdoiorg101021pr060008t

Lee JW Na D Park JM Lee J Choi S Lee SY 2012 Systems metabolic en-gineering of microorganisms for natural and non-natural chemicals Nat Chem Biol8 536ndash546 httpdxdoiorg101038nchembio970

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Li G-Q Ma T Li S-S Li H Liang F-L Liu R-L 2007 Improvement of di-benzothiophene desulfurization activity by removing the gene overlap in the dsz

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Li Z Yoshida N Wang A Nan J Liang B Zhang C Zhang D Suzuki D Zhou XXiao Z Katayama A 2015 Anaerobic mineralization of 246-tribromophenol toCO2 by a synthetic microbial community comprising Clostridium Dehalobacter andDesulfatiglans Bioresour Technol 176 225ndash232 httpdxdoiorg101016jbiortech201410097

Libis V Deleacutepine B Faulon J-L 2016 Expanding biosensing abilities through com-puter-aided design of metabolic pathways ACS Synth Biol 5 1076ndash1085 httpdxdoiorg101021acssynbio5b00225

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Long MR Ong WK Reed JL 2015 Computational methods in metabolic en-gineering for strain design Curr Opin Biotechnol 34 135ndash141 httpdxdoiorg101016jcopbio201412019

Lorenzo V Loza-Tavera H 2011 Microbial bioremediation of chemical pollutants howbacteria cope with multi-stress environmental scenarios In Storz G Hengge R(Eds) Bacterial Stress Responses Second edition ASM Press Washington DC pp481ndash492 httpdxdoiorg1011289781555816841ch30

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Marathe NP Pal C Gaikwad SS Jonsson V Kristiansson E Larsson DGJ 2017Untreated urban waste contaminates Indian river sediments with resistance genes tolast resort antibiotics Water Res 124 388ndash397 httpdxdoiorg101016jwatres201707060

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Martiacutenez-Garciacutea E de Lorenzo V 2012 Transposon-based and plasmid-based genetictools for editing genomes of gram-negative bacteria Methods Mol Biol 813267ndash283 (Clifton NJ) httpdxdoiorg101007978-1-61779-412-4_16

Martiacutenez-Garciacutea E de Lorenzo V 2016 The quest for the minimal bacterial genomeCurr Opin Biotechnol 42 216ndash224 httpdxdoiorg101016jcopbio201609001

Martiacutenez-Garciacutea E Aparicio T de Lorenzo V Nikel PI 2014a New transposon toolstailored for metabolic engineering of gram-negative microbial cell factories FrontBioeng Biotechnol 2 46 httpdxdoiorg103389fbioe201400046

Martiacutenez-Garciacutea E Nikel PI Aparicio T de Lorenzo V 2014b Pseudomonas 20genetic upgrading of P putida KT2440 as an enhanced host for heterologous geneexpression Microb Cell Factories 13 159 httpdxdoiorg101186s12934-014-0159-3

Martiacutenez-Garciacutea E Aparicio T Gontildei-Moreno A Fraile S de Lorenzo V 2015 SEVA20 an update of the Standard European Vector Architecture for de-re-constructionof bacterial functionalities Nucleic Acids Res 43 D1183ndash1189 httpdxdoiorg101093nargku1114

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Medema MH van Raaphorst R Takano E Breitling R 2012 Computational tools forthe synthetic design of biochemical pathways Nat Rev Microbiol 10 191ndash202httpdxdoiorg101038nrmicro2717

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Minty JJ Singer ME Scholz SA Bae C-H Ahn J-H Foster CE Liao JC LinXN 2013 Design and characterization of synthetic fungal-bacterial consortia fordirect production of isobutanol from cellulosic biomass Proc Natl Acad Sci U S A110 14592ndash14597 httpdxdoiorg101073pnas1218447110

Moraiumls S Shterzer N Lamed R Bayer EA Mizrahi I 2014 A combined cell-con-sortium approach for lignocellulose degradation by specialized Lactobacillus plan-tarum cells Biotechnol Biofuels 7 112 httpdxdoiorg1011861754-6834-7-112

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Mutlu BR Yeom S Wackett L Aksan A 2015 Modelling and optimization of abioremediation system utilizing silica gel encapsulated whole-cell biocatalyst ChemEng J 259 574ndash580 httpdxdoiorg101016jcej201407130

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Nicolaou SA Gaida SM Papoutsakis ET 2010 A comparative view of metaboliteand substrate stress and tolerance in microbial bioprocessing from biofuels andchemicals to biocatalysis and bioremediation Metab Eng 12 307ndash331 httpdxdoiorg101016jymben201003004

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Nielsen AAK Der BS Shin J Vaidyanathan P Paralanov V Strychalski EARoss D Densmore D Voigt CA 2016 Genetic circuit design automation Science352 aac7341 httpdxdoiorg101126scienceaac7341

Nikel PI de Lorenzo V 2013 Engineering an anaerobic metabolic regime inPseudomonas putida KT2440 for the anoxic biodegradation of 13-dichloroprop-1-eneMetab Eng 15 98ndash112 httpdxdoiorg101016jymben201209006

Nikel PI Peacuterez-Pantoja D de Lorenzo V 2013 Why are chlorinated pollutants sodifficult to degrade aerobically Redox stress limits 13-dichloroprop-1-ene metabo-lism by Pseudomonas pavonaceae Philos Trans R Soc Lond Ser B Biol Sci 36820120377 httpdxdoiorg101098rstb20120377

Nikel PI Martiacutenez-Garciacutea E de Lorenzo V 2014 Biotechnological domestication ofpseudomonads using synthetic biology Nat Rev Microbiol 12 368ndash379 httpdxdoiorg101038nrmicro3253

Nikel PI Chavarriacutea M Fuhrer T Sauer U de Lorenzo V 2015 Pseudomonas putidaKT2440 strain metabolizes glucose through a cycle formed by enzymes of the Entner-Doudoroff Embden-Meyerhof-Parnas and pentose phosphate pathways J BiolChem 290 25920ndash25932 httpdxdoiorg101074jbcM115687749

Nikel PI Chavarriacutea M Danchin A de Lorenzo V 2016a From dirt to industrialapplications Pseudomonas putida as a synthetic biology chassis for hosting harshbiochemical reactions Curr Opin Chem Biol 34 20ndash29 httpdxdoiorg101016jcbpa201605011

Nikel PI Peacuterez-Pantoja D de Lorenzo V 2016b Pyridine nucleotide transhy-drogenases enable redox balance of Pseudomonas putida during biodegradation ofaromatic compounds Environ Microbiol 18 3565ndash3582 httpdxdoiorg1011111462-292013434

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Ohtsubo Y Maruyama F Mitsui H Nagata Y Tsuda M 2012 Complete genomesequence of Acidovorax sp strain KKS102 a polychlorinated-biphenyl degrader JBacteriol 194 6970ndash6971 httpdxdoiorg101128JB01848-12

Oide S Gunji W Moteki Y Yamamoto S Suda M Jojima T Yukawa H Inui M2015 Thermal and solvent stress cross-tolerance conferred to Corynebacterium glu-tamicum by adaptive laboratory evolution Appl Environ Microbiol 81 2284ndash2298httpdxdoiorg101128AEM03973-14

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Paddon CJ Keasling JD 2014 Semi-synthetic artemisinin a model for the use ofsynthetic biology in pharmaceutical development Nat Rev Microbiol 12 355ndash367httpdxdoiorg101038nrmicro3240

Parales RE Ditty JL 2005 Laboratory evolution of catabolic enzymes and pathwaysCurr Opin Biotechnol 16 315ndash325 httpdxdoiorg101016jcopbio200503008

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Pascual J Udaondo Z Molina L Segura A Esteve-Nuacutentildeez A Caballero A DuqueE Ramos JL van Dillewijn P 2015 Draft genome sequence of Pseudomonas putidaJLR11 a facultative anaerobic 246-trinitrotoluene biotransforming bacteriumGenome Announc 3 httpdxdoiorg101128genomeA00904-15

Patil VV Park K-H Lee S-G Woo E 2016 Structural analysis of the phenol-re-sponsive sensory domain of the transcription activator PoxR Structure 1993 (24)624ndash630 (Lond Engl) httpdxdoiorg101016jstr201603006

Patowary K Patowary R Kalita MC Deka S 2016 Development of an efficientbacterial consortium for the potential remediation of hydrocarbons from con-taminated sites Front Microbiol 7 1092 httpdxdoiorg103389fmicb201601092

Paul D Pandey G Jain RK 2005 Suicidal genetically engineered microorganisms forbioremediation need and perspectives Bioessays 27 563ndash573 httpdxdoiorg101002bies20220

Pavlova M Klvana M Prokop Z Chaloupkova R Banas P Otyepka M Wade RCTsuda M Nagata Y Damborsky J 2009 Redesigning dehalogenase access tunnelsas a strategy for degrading an anthropogenic substrate Nat Chem Biol 5 727ndash733httpdxdoiorg101038nchembio205

Petrie B Barden R Kasprzyk-Hordern B 2015 A review on emerging contaminants inwastewaters and the environment current knowledge understudied areas and re-commendations for future monitoring In Water Res Occurrence Fate Removal andAssessment of Emerging Contaminants in Water in the Water Cycle (FromWastewater to Drinking Water) 72 pp 3ndash27 httpdxdoiorg101016jwatres201408053

Planson A-G Carbonell P Paillard E Pollet N Faulon J-L 2012 Compoundtoxicity screening and structure-activity relationship modeling in Escherichia coliBiotechnol Bioeng 109 846ndash850 httpdxdoiorg101002bit24356

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P Dvořaacutek et al Biotechnology Advances 35 (2017) 845ndash866

866

  • Bioremediation 30 Engineering pollutant-removing bacteria in the times of systemic biology
    • Introduction
    • Approaches and tools of systems biology and metabolic engineering for tailoring biodegradation pathways
      • Step 1 get to know the contaminant and find a suitable catabolic pathway
        • Databases
        • Pathway prediction systems and toxicity prediction algorithms
        • Detection and quantification of pathway building blocks
          • Step 2 select and get to know a suitable microbial host
            • Omics techniques in studies of bacterial degraders
              • Step 3 build the pathway and optimize its performance in the context of host metabolism
                • Computational tools for pathway and strain optimization
                • Experimental tools for pathway and strain optimization
                • Protein engineering to eliminate bottlenecks of biodegradation pathways
                    • Synthetic biology approaches and tools for biodegradation pathway engineering
                      • Development of robust microbial chassis for biodegradation of toxic chemicals
                      • Development of synthetic microbial consortia for enhanced biodegradation and bioremediation of pollutants
                      • Development of orthogonal systems in bacteria to enhance pollutant biodegradation and bioremediation
                      • Engineering microbial biodegradation pathways in vitro
                        • Towards planet-wide bioremediation interventions CO2 capture as a large-scale challenge
                        • Conclusions and perspectives
                        • Acknowledgements
                        • References
                        • Web references
Page 18: Bioremediation 3.0 Engineering pollutant-removing bacteria ... · biology, metabolic engineering, and synthetic biology, for the sake of understanding and reprograming biological

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Eriksson L Jaworska J Worth AP Cronin MTD McDowell RM Gramatica P

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Escalante AE Rebolleda-Goacutemez M Beniacutetez M Travisano M 2015 Ecological per-spectives on synthetic biology insights from microbial population biology FrontMicrobiol 6 143 httpdxdoiorg103389fmicb201500143

Fernaacutendez-Aacutelvaro E Snajdrova R Jochens H Davids T Boumlttcher D BornscheuerUT 2011 A combination of in vivo selection and cell sorting for the identification ofenantioselective biocatalysts Angew Chem Int Ed Eng 50 8584ndash8587 httpdxdoiorg101002anie201102360

Fibinger MPC Davids T Boumlttcher D Bornscheuer UT 2015 A selection assay forhaloalkane dehalogenase activity based on toxic substrates Appl MicrobiolBiotechnol 99 8955ndash8962 httpdxdoiorg101007s00253-015-6686-y

Finley SD Broadbelt LJ Hatzimanikatis V 2009 Computational framework forpredictive biodegradation Biotechnol Bioeng 104 1086ndash1097 httpdxdoiorg101002bit22489

Finley SD Broadbelt LJ Hatzimanikatis V 2010 In silico feasibility of novel bio-degradation pathways for 124-trichlorobenzene BMC Syst Biol 4 7 httpdxdoiorg1011861752-0509-4-7

Francis CW Mankin JB 1977 High nitrate denitrification in continuous flow-stirredreactors Water Res 11 httpdxdoiorg1010160043-1354(77)90061-6

Fuchs G 2011 Alternative pathways of carbon dioxide fixation insights into the earlyevolution of life Annu Rev Microbiol 65 631ndash658 httpdxdoiorg101146annurev-micro-090110-102801

Gao J Ellis LBM Wackett LP 2010 The University of Minnesota BiocatalysisBiodegradation Database improving public access Nucleic Acids Res 38 D488ndash491httpdxdoiorg101093nargkp771

Gao F Ding H Feng Z Liu D Zhao Y 2014 Functional display of triphenylmethanereductase for dye removal on the surface of Escherichia coli using N-terminal domainof ice nucleation protein Bioresour Technol 169 181ndash187 httpdxdoiorg101016jbiortech201406093

Geueke B Garg N Ghosh S Fleischmann T Holliger C Lal R Kohler H-PE2013 Metabolomics of hexachlorocyclohexane (HCH) transformation ratio of LinAto LinB determines metabolic fate of HCH isomers Environ Microbiol 151040ndash1049 httpdxdoiorg1011111462-292012009

Gilbert ES Walker AW Keasling JD 2003 A constructed microbial consortium forbiodegradation of the organophosphorus insecticide parathion Appl MicrobiolBiotechnol 61 77ndash81 httpdxdoiorg101007s00253-002-1203-5

Glass JI Assad-Garcia N Alperovich N Yooseph S Lewis MR Maruf MHutchison CA Smith HO Venter JC 2006 Essential genes of a minimal bac-terium Proc Natl Acad Sci U S A 103 425ndash430 httpdxdoiorg101073pnas0510013103

Glick BR 1995 Metabolic load and heterologous gene expression Biotechnol Adv 13247ndash261

Guazzaroni M-E Herbst F-A Lores I Tamames J Pelaacuteez AI Loacutepez-Corteacutes NAlcaide M Del Pozo MV Vieites JM von Bergen M Gallego JLR BargielaR Loacutepez-Loacutepez A Pieper DH Rosselloacute-Moacutera R Saacutenchez J Seifert J FerrerM 2013 Metaproteogenomic insights beyond bacterial response to naphthaleneexposure and bio-stimulation ISME J 7 122ndash136 httpdxdoiorg101038ismej201282

Gredell JA Frei CS Cirino PC 2012 Protein and RNA engineering to customizemicrobial molecular reporting Biotechnol J 7 477ndash499 httponlinelibrarywileycomdoi101002biot201100266full

Gutierrez T Singleton DR Berry D Yang T Aitken MD Teske A 2013Hydrocarbon-degrading bacteria enriched by the Deepwater Horizon oil spill iden-tified by cultivation and DNA-SIP ISME J 7 2091ndash2104 httpdxdoiorg101038ismej201398

Hadadi N Hafner J Shajkofci A Zisaki A Hatzimanikatis V 2016 ATLAS ofbiochemistry a repository of all possible biochemical reactions for synthetic biologyand metabolic engineering studies ACS Synth Biol 5 1155ndash1166 httpdxdoiorg101021acssynbio6b00054

Haro MA de Lorenzo V 2001 Metabolic engineering of bacteria for environmentalapplications construction of Pseudomonas strains for biodegradation of 2-chlor-otoluene J Biotechnol 85 103ndash113

Hatzimanikatis V Li C Ionita JA Henry CS Jankowski MD Broadbelt LJ2005 Exploring the diversity of complex metabolic networks Bioinforma Oxf Engl21 1603ndash1609 httpdxdoiorg101093bioinformaticsbti213

He W Yuan S Zhong W-H Siddikee MA Dai C-C 2016 Application of geneti-cally engineered microbial whole-cell biosensors for combined chemosensing ApplMicrobiol Biotechnol 100 1109ndash1119 httpdxdoiorg101007s00253-015-7160-6

Hennig S Roumldel G Ostermann K 2015 Artificial cell-cell communication as anemerging tool in synthetic biology applications J Biol Eng 9 13 httpdxdoiorg101186s13036-015-0011-2

Hicks N Vik U Taylor P Ladoukakis E Park J Kolisis F Jakobsen KS 2017Using prokaryotes for carbon capture storage Trends Biotechnol 35 22ndash32 httpdxdoiorg101016jtibtech201606011

Hodgman CE Jewett MC 2012 Cell-free synthetic biology thinking outside the cellMetab Eng 14 261ndash269 httpdxdoiorg101016jymben201109002

Huang P-S Boyken SE Baker D 2016 The coming of age of de novo protein designNature 537 320ndash327 httpdxdoiorg101038nature19946

Hutchison CA Chuang R-Y Noskov VN Assad-Garcia N Deerinck TJ EllismanMH Gill J Kannan K Karas BJ Ma L Pelletier JF Qi Z-Q Richter RAStrychalski EA Sun L Suzuki Y Tsvetanova B Wise KS Smith HO GlassJI Merryman C Gibson DG Venter JC 2016 Design and synthesis of aminimal bacterial genome Science 351 aad6253 httpdxdoiorg101126

scienceaad6253Iwakiri R Yoshihira K Ngadiman Null Futagami T Goto M Furukawa K 2004

Total degradation of pentachloroethane by an engineered Alcaligenes strain expres-sing a modified camphor monooxygenase and a hybrid dioxygenase BiosciBiotechnol Biochem 68 1353ndash1356 httpdxdoiorg101271bbb681353

Izallalen M Mahadevan R Burgard A Postier B Didonato R Sun J SchillingCH Lovley DR 2008 Geobacter sulfurreducens strain engineered for increasedrates of respiration Metab Eng 10 267ndash275 httpdxdoiorg101016jymben200806005

Janssen DB Dinkla IJT Poelarends GJ Terpstra P 2005 Bacterial degradation ofxenobiotic compounds evolution and distribution of novel enzyme activitiesEnviron Microbiol 7 1868ndash1882 httpdxdoiorg101111j1462-2920200500966x

Kanehisa M Goto S Sato Y Kawashima M Furumichi M Tanabe M 2014 Datainformation knowledge and principle back to metabolism in KEGG Nucleic AcidsRes 42 D199ndash205 httpdxdoiorg101093nargkt1076

Karig DK 2017 Cell-free synthetic biology for environmental sensing and remediationCurr Opin Biotechnol 45 69ndash75 httpdxdoiorg101016jcopbio201701010

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Khersonsky O Tawfik DS 2010 Enzyme promiscuity a mechanistic and evolutionaryperspective Annu Rev Biochem 79 471ndash505 httpdxdoiorg101146annurev-biochem-030409-143718

Kim J Copley SD 2012 Inhibitory cross-talk upon introduction of a new metabolicpathway into an existing metabolic network Proc Natl Acad Sci U S A 109E2856ndash2864 httpdxdoiorg101073pnas1208509109

Kim S Baek S-H Lee K Hahn J-S 2013a Cellulosic ethanol production using ayeast consortium displaying a minicellulosome and β-glucosidase Microb CellFactories 12 14 httpdxdoiorg1011861475-2859-12-14

Kim J Oliveros JC Nikel PI de Lorenzo V Silva-Rocha R 2013b Transcriptomicfingerprinting of Pseudomonas putida under alternative physiological regimesEnviron Microbiol Rep 5 883ndash891 httpdxdoiorg1011111758-222912090

Kim S Thiessen PA Bolton EE Chen J Fu G Gindulyte A Han L He J He SShoemaker BA Wang J Yu B Zhang J Bryant SH 2016 PubChem substanceand compound databases Nucleic Acids Res 44 D1202ndash1213 httpdxdoiorg101093nargkv951

King ZA Lloyd CJ Feist AM Palsson BO 2015 Next-generation genome-scalemodels for metabolic engineering Curr Opin Biotechnol 35 23ndash29 httpdxdoiorg101016jcopbio201412016

Kleinstiver BP Pattanayak V Prew MS Tsai SQ Nguyen NT Zheng Z JoungJK 2016 High-fidelity CRISPR-Cas9 nucleases with no detectable genome-wide off-target effects Nature 529 490ndash495 httpdxdoiorg101038nature16526

Kosuri S Church GM 2014 Large-scale de novo DNA synthesis technologies andapplications Nat Methods 11 499ndash507 httpdxdoiorg101038nmeth2918

Koutinas AA Vlysidis A Pleissner D Kopsahelis N Lopez Garcia I Kookos IKPapanikolaou S Kwan TH Lin CSK 2014 Valorization of industrial waste andby-product streams via fermentation for the production of chemicals and biopoly-mers Chem Soc Rev 43 2587ndash2627 httpdxdoiorg101039c3cs60293a

Krewski D Andersen ME Mantus E Zeise L 2009 Toxicity testing in the 21stcentury implications for human health risk assessment Risk Anal 29 474ndash479httpdxdoiorg101111j1539-6924200801150x

Kube M Chernikova TN Al-Ramahi Y Beloqui A Lopez-Cortez N Guazzaroni M-E Heipieper HJ Klages S Kotsyurbenko OR Langer I Nechitaylo TYLuumlnsdorf H Fernaacutendez M Juaacuterez S Ciordia S Singer A Kagan O Egorova OPetit PA Stogios P Kim Y Tchigvintsev A Flick R Denaro R Genovese MAlbar JP Reva ON Martiacutenez-Gomariz M Tran H Ferrer M Savchenko AYakunin AF Yakimov MM Golyshina OV Reinhardt R Golyshin PN 2013Genome sequence and functional genomic analysis of the oil-degrading bacteriumOleispira antarctica Nat Commun 4 2156 httpdxdoiorg101038ncomms3156

Kuipers RK Joosten H-J van Berkel WJH Leferink NGH Rooijen E IttmannE van Zimmeren F Jochens H Bornscheuer U Vriend G dos Santos VAPMSchaap PJ 2010 3DM systematic analysis of heterogeneous superfamily data todiscover protein functionalities Proteins 78 2101ndash2113 httpdxdoiorg101002prot22725

Kurumbang NP Dvorak P Bendl J Brezovsky J Prokop Z Damborsky J 2014Computer-assisted engineering of the synthetic pathway for biodegradation of a toxicpersistent pollutant ACS Synth Biol 3 172ndash181 httpdxdoiorg101021sb400147n

Latino DARS Wicker J Guumltlein M Schmid E Kramer S Fenner K 2017 Eawag-Soil in enviPath a new resource for exploring regulatory pesticide soil biodegrada-tion pathways and half-life data Environ Sci Processes Impacts 19 449ndash464httpdxdoiorg101039c6em00697c

Lee J Cao L Ow SY Barrios-Llerena ME Chen W Wood TK Wright PC 2006Proteome changes after metabolic engineering to enhance aerobic mineralization ofcis‑12-dichloroethylene J Proteome Res 5 1388ndash1397 httpdxdoiorg101021pr060008t

Lee JW Na D Park JM Lee J Choi S Lee SY 2012 Systems metabolic en-gineering of microorganisms for natural and non-natural chemicals Nat Chem Biol8 536ndash546 httpdxdoiorg101038nchembio970

Lehrbach PR Zeyer J Reineke W Knackmuss HJ Timmis KN 1984 Enzymerecruitment in vitro use of cloned genes to extend the range of haloaromatics de-graded by Pseudomonas sp strain B13 J Bacteriol 158 1025ndash1032

Li G-Q Ma T Li S-S Li H Liang F-L Liu R-L 2007 Improvement of di-benzothiophene desulfurization activity by removing the gene overlap in the dsz

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863

operon Biosci Biotechnol Biochem 71 849ndash854 httpdxdoiorg101271bbb60189

Li Z Yoshida N Wang A Nan J Liang B Zhang C Zhang D Suzuki D Zhou XXiao Z Katayama A 2015 Anaerobic mineralization of 246-tribromophenol toCO2 by a synthetic microbial community comprising Clostridium Dehalobacter andDesulfatiglans Bioresour Technol 176 225ndash232 httpdxdoiorg101016jbiortech201410097

Libis V Deleacutepine B Faulon J-L 2016 Expanding biosensing abilities through com-puter-aided design of metabolic pathways ACS Synth Biol 5 1076ndash1085 httpdxdoiorg101021acssynbio5b00225

Liss M Daubert D Brunner K Kliche K Hammes U Leiherer A Wagner R 2012Embedding permanent watermarks in synthetic genes PLoS One 7 e42465 httpdxdoiorg101371journalpone0042465

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Liu J Tan L Wang J Wang Z Ni H Li L 2016 Complete biodegradation ofchlorpyrifos by engineered Pseudomonas putida cells expressing surface-immobilizedlaccases Chemosphere 157 200ndash207 httpdxdoiorg101016jchemosphere201605031

Loeschcke A Markert A Wilhelm S Wirtz A Rosenau F Jaeger K-E Drepper T2013 TREX a universal tool for the transfer and expression of biosynthetic pathwaysin bacteria ACS Synth Biol 2 22ndash33 httpdxdoiorg101021sb3000657

Long MR Ong WK Reed JL 2015 Computational methods in metabolic en-gineering for strain design Curr Opin Biotechnol 34 135ndash141 httpdxdoiorg101016jcopbio201412019

Lorenzo V Loza-Tavera H 2011 Microbial bioremediation of chemical pollutants howbacteria cope with multi-stress environmental scenarios In Storz G Hengge R(Eds) Bacterial Stress Responses Second edition ASM Press Washington DC pp481ndash492 httpdxdoiorg1011289781555816841ch30

Lovley DR Phillips EJP Gorby YA Landa ER 1991 Microbial reduction of ur-anium Nature 350 413ndash416 httpdxdoiorg101038350413a0

Lykidis A Peacuterez-Pantoja D Ledger T Mavromatis K Anderson IJ Ivanova NNHooper SD Lapidus A Lucas S Gonzaacutelez B Kyrpides NC 2010 The completemultipartite genome sequence of Cupriavidus necator JMP134 a versatile pollutantdegrader PLoS One 5 e9729 httpdxdoiorg101371journalpone0009729

Marathe NP Pal C Gaikwad SS Jonsson V Kristiansson E Larsson DGJ 2017Untreated urban waste contaminates Indian river sediments with resistance genes tolast resort antibiotics Water Res 124 388ndash397 httpdxdoiorg101016jwatres201707060

Martiacutenez I Mohamed ME-S Rozas D Garciacutea JL Diacuteaz E 2016 Engineering syn-thetic bacterial consortia for enhanced desulfurization and revalorization of oil sulfurcompounds Metab Eng 35 46ndash54 httpdxdoiorg101016jymben201601005

Martiacutenez-Garciacutea E de Lorenzo V 2012 Transposon-based and plasmid-based genetictools for editing genomes of gram-negative bacteria Methods Mol Biol 813267ndash283 (Clifton NJ) httpdxdoiorg101007978-1-61779-412-4_16

Martiacutenez-Garciacutea E de Lorenzo V 2016 The quest for the minimal bacterial genomeCurr Opin Biotechnol 42 216ndash224 httpdxdoiorg101016jcopbio201609001

Martiacutenez-Garciacutea E Aparicio T de Lorenzo V Nikel PI 2014a New transposon toolstailored for metabolic engineering of gram-negative microbial cell factories FrontBioeng Biotechnol 2 46 httpdxdoiorg103389fbioe201400046

Martiacutenez-Garciacutea E Nikel PI Aparicio T de Lorenzo V 2014b Pseudomonas 20genetic upgrading of P putida KT2440 as an enhanced host for heterologous geneexpression Microb Cell Factories 13 159 httpdxdoiorg101186s12934-014-0159-3

Martiacutenez-Garciacutea E Aparicio T Gontildei-Moreno A Fraile S de Lorenzo V 2015 SEVA20 an update of the Standard European Vector Architecture for de-re-constructionof bacterial functionalities Nucleic Acids Res 43 D1183ndash1189 httpdxdoiorg101093nargku1114

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Medema MH van Raaphorst R Takano E Breitling R 2012 Computational tools forthe synthetic design of biochemical pathways Nat Rev Microbiol 10 191ndash202httpdxdoiorg101038nrmicro2717

Mendes P Hoops S Sahle S Gauges R Dada J Kummer U 2009 Computationalmodeling of biochemical networks using COPASI Methods Mol Biol 500 17ndash59(Clifton NJ) httpdxdoiorg101007978-1-59745-525-1_2

Minty JJ Singer ME Scholz SA Bae C-H Ahn J-H Foster CE Liao JC LinXN 2013 Design and characterization of synthetic fungal-bacterial consortia fordirect production of isobutanol from cellulosic biomass Proc Natl Acad Sci U S A110 14592ndash14597 httpdxdoiorg101073pnas1218447110

Moraiumls S Shterzer N Lamed R Bayer EA Mizrahi I 2014 A combined cell-con-sortium approach for lignocellulose degradation by specialized Lactobacillus plan-tarum cells Biotechnol Biofuels 7 112 httpdxdoiorg1011861754-6834-7-112

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Belda E Hyka-Nouspikel N Coudert E Redaschi N Bougueleret L SteinbeckC Xenarios I Bridge A 2015 Updates in Rheamdasha manually curated resource ofbiochemical reactions Nucleic Acids Res 43 D459ndash464 httpdxdoiorg101093nargku961

Mulbry W Ahrens E Karns J 1998 Use of a field-scale biofilter for the degradation ofthe organophosphate insecticide coumaphos in cattle dip wastes Pestic Sci 52268ndash274 httpdxdoiorg101002(SICI)1096-9063(199803)523lt268AID-PS719gt30CO2-2

Muschiol J Peters C Oberleitner N Mihovilovic MD Bornscheuer UT Rudroff F2015 Cascade catalysismdashstrategies and challenges en route to preparative syntheticbiology Chem Commun (Camb) 51 5798ndash5811 httpdxdoiorg101039c4cc08752f

Mutlu BR Yeom S Wackett L Aksan A 2015 Modelling and optimization of abioremediation system utilizing silica gel encapsulated whole-cell biocatalyst ChemEng J 259 574ndash580 httpdxdoiorg101016jcej201407130

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Nancharaiah YV Mohan SV Lens PNL 2016 Biological and bioelectrochemicalrecovery of critical and scarce metals Trends Biotechnol 34 137ndash155 httpdxdoiorg101016jtibtech201511003

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Nicolaou SA Gaida SM Papoutsakis ET 2010 A comparative view of metaboliteand substrate stress and tolerance in microbial bioprocessing from biofuels andchemicals to biocatalysis and bioremediation Metab Eng 12 307ndash331 httpdxdoiorg101016jymben201003004

Nielsen J Fussenegger M Keasling J Lee SY Liao JC Prather K Palsson B2014 Engineering synergy in biotechnology Nat Chem Biol 10 319ndash322 httpdxdoiorg101038nchembio1519

Nielsen AAK Der BS Shin J Vaidyanathan P Paralanov V Strychalski EARoss D Densmore D Voigt CA 2016 Genetic circuit design automation Science352 aac7341 httpdxdoiorg101126scienceaac7341

Nikel PI de Lorenzo V 2013 Engineering an anaerobic metabolic regime inPseudomonas putida KT2440 for the anoxic biodegradation of 13-dichloroprop-1-eneMetab Eng 15 98ndash112 httpdxdoiorg101016jymben201209006

Nikel PI Peacuterez-Pantoja D de Lorenzo V 2013 Why are chlorinated pollutants sodifficult to degrade aerobically Redox stress limits 13-dichloroprop-1-ene metabo-lism by Pseudomonas pavonaceae Philos Trans R Soc Lond Ser B Biol Sci 36820120377 httpdxdoiorg101098rstb20120377

Nikel PI Martiacutenez-Garciacutea E de Lorenzo V 2014 Biotechnological domestication ofpseudomonads using synthetic biology Nat Rev Microbiol 12 368ndash379 httpdxdoiorg101038nrmicro3253

Nikel PI Chavarriacutea M Fuhrer T Sauer U de Lorenzo V 2015 Pseudomonas putidaKT2440 strain metabolizes glucose through a cycle formed by enzymes of the Entner-Doudoroff Embden-Meyerhof-Parnas and pentose phosphate pathways J BiolChem 290 25920ndash25932 httpdxdoiorg101074jbcM115687749

Nikel PI Chavarriacutea M Danchin A de Lorenzo V 2016a From dirt to industrialapplications Pseudomonas putida as a synthetic biology chassis for hosting harshbiochemical reactions Curr Opin Chem Biol 34 20ndash29 httpdxdoiorg101016jcbpa201605011

Nikel PI Peacuterez-Pantoja D de Lorenzo V 2016b Pyridine nucleotide transhy-drogenases enable redox balance of Pseudomonas putida during biodegradation ofaromatic compounds Environ Microbiol 18 3565ndash3582 httpdxdoiorg1011111462-292013434

Nyerges Aacute Csoumlrgő B Nagy I Baacutelint B Bihari P Laacutezaacuter V Apjok G UmenhofferK Bogos B Poacutesfai G Paacutel C 2016 A highly precise and portable genome en-gineering method allows comparison of mutational effects across bacterial speciesProc Natl Acad Sci U S A 113 2502ndash2507 httpdxdoiorg101073pnas1520040113

Ohtsubo Y Maruyama F Mitsui H Nagata Y Tsuda M 2012 Complete genomesequence of Acidovorax sp strain KKS102 a polychlorinated-biphenyl degrader JBacteriol 194 6970ndash6971 httpdxdoiorg101128JB01848-12

Oide S Gunji W Moteki Y Yamamoto S Suda M Jojima T Yukawa H Inui M2015 Thermal and solvent stress cross-tolerance conferred to Corynebacterium glu-tamicum by adaptive laboratory evolution Appl Environ Microbiol 81 2284ndash2298httpdxdoiorg101128AEM03973-14

Oosterkamp MJ Veuskens T Talarico Saia F Weelink SAB Goodwin LADaligault HE Bruce DC Detter JC Tapia R Han CS Land ML Hauser LJLangenhoff AAM Gerritse J van Berkel WJH Pieper DH Junca H SmidtH Schraa G Davids M Schaap PJ Plugge CM Stams AJM 2013 Genomeanalysis and physiological comparison of Alicycliphilus denitrificans strains BC andK601(T) PLoS One 8 e66971 httpdxdoiorg101371journalpone0066971

Paddon CJ Keasling JD 2014 Semi-synthetic artemisinin a model for the use ofsynthetic biology in pharmaceutical development Nat Rev Microbiol 12 355ndash367httpdxdoiorg101038nrmicro3240

Parales RE Ditty JL 2005 Laboratory evolution of catabolic enzymes and pathwaysCurr Opin Biotechnol 16 315ndash325 httpdxdoiorg101016jcopbio200503008

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Pascual J Udaondo Z Molina L Segura A Esteve-Nuacutentildeez A Caballero A DuqueE Ramos JL van Dillewijn P 2015 Draft genome sequence of Pseudomonas putidaJLR11 a facultative anaerobic 246-trinitrotoluene biotransforming bacteriumGenome Announc 3 httpdxdoiorg101128genomeA00904-15

Patil VV Park K-H Lee S-G Woo E 2016 Structural analysis of the phenol-re-sponsive sensory domain of the transcription activator PoxR Structure 1993 (24)624ndash630 (Lond Engl) httpdxdoiorg101016jstr201603006

Patowary K Patowary R Kalita MC Deka S 2016 Development of an efficientbacterial consortium for the potential remediation of hydrocarbons from con-taminated sites Front Microbiol 7 1092 httpdxdoiorg103389fmicb201601092

Paul D Pandey G Jain RK 2005 Suicidal genetically engineered microorganisms forbioremediation need and perspectives Bioessays 27 563ndash573 httpdxdoiorg101002bies20220

Pavlova M Klvana M Prokop Z Chaloupkova R Banas P Otyepka M Wade RCTsuda M Nagata Y Damborsky J 2009 Redesigning dehalogenase access tunnelsas a strategy for degrading an anthropogenic substrate Nat Chem Biol 5 727ndash733httpdxdoiorg101038nchembio205

Petrie B Barden R Kasprzyk-Hordern B 2015 A review on emerging contaminants inwastewaters and the environment current knowledge understudied areas and re-commendations for future monitoring In Water Res Occurrence Fate Removal andAssessment of Emerging Contaminants in Water in the Water Cycle (FromWastewater to Drinking Water) 72 pp 3ndash27 httpdxdoiorg101016jwatres201408053

Planson A-G Carbonell P Paillard E Pollet N Faulon J-L 2012 Compoundtoxicity screening and structure-activity relationship modeling in Escherichia coliBiotechnol Bioeng 109 846ndash850 httpdxdoiorg101002bit24356

Puchałka J Oberhardt MA Godinho M Bielecka A Regenhardt D Timmis KNPapin JA Martins dos Santos VAP 2008 Genome-scale reconstruction andanalysis of the Pseudomonas putida KT2440 metabolic network facilitates applicationsin biotechnology PLoS Comput Biol 4 e1000210 httpdxdoiorg101371journalpcbi1000210

Ramos JL Wasserfallen A Rose K Timmis KN 1987 Redesigning metabolicroutes manipulation of TOL plasmid pathway for catabolism of alkylbenzoatesScience 235 593ndash596

Ramos J-L Marqueacutes S van Dillewijn P Espinosa-Urgel M Segura A Duque EKrell T Ramos-Gonzaacutelez M-I Bursakov S Roca A Solano J Fernaacutedez MNiqui JL Pizarro-Tobias P Wittich R-M 2011 Laboratory research aimed atclosing the gaps in microbial bioremediation Trends Biotechnol 29 641ndash647httpdxdoiorg101016jtibtech201106007

Ran FA Hsu PD Wright J Agarwala V Scott DA Zhang F 2013 Genome en-gineering using the CRISPR-Cas9 system Nat Protoc 8 2281ndash2308 httpdxdoiorg101038nprot2013143

Raunio H Kuusisto M Juvonen RO Pentikaumlinen OT 2015 Modeling of interac-tions between xenobiotics and cytochrome P450 (CYP) enzymes Front Pharmacol 6123 httpdxdoiorg103389fphar201500123

Ravikumar S Baylon MG Park SJ Choi J-I 2017 Engineered microbial biosensorsbased on bacterial two-component systems as synthetic biotechnology platforms inbioremediation and biorefinery Microb Cell Factories 16 62 httpdxdoiorg101186s12934-017-0675-z

Raymond RL Jamison VW Hudson JO 1975 Final Report on BeneficialStimulation of Bacterial Activity in Ground Waters Containing Petroleum ProductsSun Ventures Incorporated

Reineke W Knackmuss HJ 1979 Construction of haloaromatics utilising bacteriaNature 277 385ndash386

Renata H Wang ZJ Arnold FH 2015 Expanding the enzyme universe accessingnon-natural reactions by mechanism-guided directed evolution Angew Chem IntEd Eng 54 3351ndash3367 httpdxdoiorg101002anie201409470

Rockstroumlm J Gaffney O Rogelj J Meinshausen M Nakicenovic N SchellnhuberHJ 2017 A roadmap for rapid decarbonization Science 355 1269ndash1271 httpdxdoiorg101126scienceaah3443

Rojo F Pieper DH Engesser KH Knackmuss HJ Timmis KN 1987 Assemblageof ortho cleavage route for simultaneous degradation of chloro- and methylaromaticsScience 238 1395ndash1398

Rollin JA Martin del Campo J Myung S Sun F You C Bakovic A Castro RChandrayan SK Wu C-H Adams MWW Senger RS Zhang Y-HP 2015High-yield hydrogen production from biomass by in vitro metabolic engineeringmixed sugars coutilization and kinetic modeling Proc Natl Acad Sci U S A 1124964ndash4969 httpdxdoiorg101073pnas1417719112

Rui L Kwon YM Reardon KF Wood TK 2004 Metabolic pathway engineering toenhance aerobic degradation of chlorinated ethenes and to reduce their toxicity bycloning a novel glutathione S-transferase an evolved toluene o-monooxygenase andgamma-glutamylcysteine synthetase Environ Microbiol 6 491ndash500 httpdxdoiorg101111j1462-2920200400586x

Samin G Janssen DB 2012 Transformation and biodegradation of 123-tri-chloropropane (TCP) Environ Sci Pollut Res Int 19 3067ndash3078 httpdxdoiorg101007s11356-012-0859-3

Samin G Pavlova M Arif MI Postema CP Damborsky J Janssen DB 2014 Apseudomonas putida strain genetically engineered for 123-trichloropropane bior-emediation Appl Environ Microbiol 80 5467ndash5476 httpdxdoiorg101128AEM01620-14

Santacoloma PA Sin G Gernaey KV Woodley JM 2011 Multienzyme-catalyzedprocesses next-generation biocatalysis Org Process Res Dev 15 203ndash212 httpdxdoiorg101021op1002159

Santos CNS Yoshikuni Y 2014 Engineering complex biological systems in bacteriathrough recombinase-assisted genome engineering Nat Protoc 9 1320ndash1336

httpdxdoiorg101038nprot2014084Sarigiannis DA Hansen U 2012 Considering the cumulative risk of mixtures of

chemicals - a challenge for policy makers Environ Health 11 (Suppl 1) S18 httpdxdoiorg1011861476-069X-11-S1-S18

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P Dvořaacutek et al Biotechnology Advances 35 (2017) 845ndash866

866

  • Bioremediation 30 Engineering pollutant-removing bacteria in the times of systemic biology
    • Introduction
    • Approaches and tools of systems biology and metabolic engineering for tailoring biodegradation pathways
      • Step 1 get to know the contaminant and find a suitable catabolic pathway
        • Databases
        • Pathway prediction systems and toxicity prediction algorithms
        • Detection and quantification of pathway building blocks
          • Step 2 select and get to know a suitable microbial host
            • Omics techniques in studies of bacterial degraders
              • Step 3 build the pathway and optimize its performance in the context of host metabolism
                • Computational tools for pathway and strain optimization
                • Experimental tools for pathway and strain optimization
                • Protein engineering to eliminate bottlenecks of biodegradation pathways
                    • Synthetic biology approaches and tools for biodegradation pathway engineering
                      • Development of robust microbial chassis for biodegradation of toxic chemicals
                      • Development of synthetic microbial consortia for enhanced biodegradation and bioremediation of pollutants
                      • Development of orthogonal systems in bacteria to enhance pollutant biodegradation and bioremediation
                      • Engineering microbial biodegradation pathways in vitro
                        • Towards planet-wide bioremediation interventions CO2 capture as a large-scale challenge
                        • Conclusions and perspectives
                        • Acknowledgements
                        • References
                        • Web references
Page 19: Bioremediation 3.0 Engineering pollutant-removing bacteria ... · biology, metabolic engineering, and synthetic biology, for the sake of understanding and reprograming biological

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Li G-Q Ma T Li S-S Li H Liang F-L Liu R-L 2007 Improvement of di-benzothiophene desulfurization activity by removing the gene overlap in the dsz

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Li Z Yoshida N Wang A Nan J Liang B Zhang C Zhang D Suzuki D Zhou XXiao Z Katayama A 2015 Anaerobic mineralization of 246-tribromophenol toCO2 by a synthetic microbial community comprising Clostridium Dehalobacter andDesulfatiglans Bioresour Technol 176 225ndash232 httpdxdoiorg101016jbiortech201410097

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Liu X Germaine KJ Ryan D Dowling DN 2010 Genetically modifiedPseudomonas biosensing biodegraders to detect PCB and chlorobenzoate bioavail-ability and biodegradation in contaminated soils Bioeng Bugs 1 198ndash206 httpdxdoiorg104161bbug1312443

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Martiacutenez I Mohamed ME-S Rozas D Garciacutea JL Diacuteaz E 2016 Engineering syn-thetic bacterial consortia for enhanced desulfurization and revalorization of oil sulfurcompounds Metab Eng 35 46ndash54 httpdxdoiorg101016jymben201601005

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Martiacutenez-Garciacutea E Aparicio T de Lorenzo V Nikel PI 2014a New transposon toolstailored for metabolic engineering of gram-negative microbial cell factories FrontBioeng Biotechnol 2 46 httpdxdoiorg103389fbioe201400046

Martiacutenez-Garciacutea E Nikel PI Aparicio T de Lorenzo V 2014b Pseudomonas 20genetic upgrading of P putida KT2440 as an enhanced host for heterologous geneexpression Microb Cell Factories 13 159 httpdxdoiorg101186s12934-014-0159-3

Martiacutenez-Garciacutea E Aparicio T Gontildei-Moreno A Fraile S de Lorenzo V 2015 SEVA20 an update of the Standard European Vector Architecture for de-re-constructionof bacterial functionalities Nucleic Acids Res 43 D1183ndash1189 httpdxdoiorg101093nargku1114

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Minty JJ Singer ME Scholz SA Bae C-H Ahn J-H Foster CE Liao JC LinXN 2013 Design and characterization of synthetic fungal-bacterial consortia fordirect production of isobutanol from cellulosic biomass Proc Natl Acad Sci U S A110 14592ndash14597 httpdxdoiorg101073pnas1218447110

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Wang B Kitney RI Joly N Buck M 2011 Engineering modular and orthogonalgenetic logic gates for robust digital-like synthetic biology Nat Commun 2 508httpdxdoiorg101038ncomms1516

Wang K Schmied WH Chin JW 2012 Reprogramming the genetic code from tri-plet to quadruplet codes Angew Chem Int Ed Eng 51 2288ndash2297 httpdxdoiorg101002anie201105016

Wang B Barahona M Buck M 2013 A modular cell-based biosensor using engineeredgenetic logic circuits to detect and integrate multiple environmental signals BiosensBioelectron 40 368ndash376 httpdxdoiorg101016jbios201208011

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Yoshida S Hiraga K Takehana T Taniguchi I Yamaji H Maeda Y Toyohara KMiyamoto K Kimura Y Oda K 2016a A bacterium that degrades and assimilatespoly(ethylene terephthalate) Science 351 1196ndash1199 httpdxdoiorg101126scienceaad6359

Yoshida S Hiraga K Takehana T Taniguchi I Yamaji H Maeda Y Toyohara KMiyamoto K Kimura Y Oda K 2016b Response to comment on A bacterium thatdegrades and assimilates poly(ethylene terephthalate) Science 353 759 httpdxdoiorg101126scienceaaf8625

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P Dvořaacutek et al Biotechnology Advances 35 (2017) 845ndash866

866

  • Bioremediation 30 Engineering pollutant-removing bacteria in the times of systemic biology
    • Introduction
    • Approaches and tools of systems biology and metabolic engineering for tailoring biodegradation pathways
      • Step 1 get to know the contaminant and find a suitable catabolic pathway
        • Databases
        • Pathway prediction systems and toxicity prediction algorithms
        • Detection and quantification of pathway building blocks
          • Step 2 select and get to know a suitable microbial host
            • Omics techniques in studies of bacterial degraders
              • Step 3 build the pathway and optimize its performance in the context of host metabolism
                • Computational tools for pathway and strain optimization
                • Experimental tools for pathway and strain optimization
                • Protein engineering to eliminate bottlenecks of biodegradation pathways
                    • Synthetic biology approaches and tools for biodegradation pathway engineering
                      • Development of robust microbial chassis for biodegradation of toxic chemicals
                      • Development of synthetic microbial consortia for enhanced biodegradation and bioremediation of pollutants
                      • Development of orthogonal systems in bacteria to enhance pollutant biodegradation and bioremediation
                      • Engineering microbial biodegradation pathways in vitro
                        • Towards planet-wide bioremediation interventions CO2 capture as a large-scale challenge
                        • Conclusions and perspectives
                        • Acknowledgements
                        • References
                        • Web references
Page 20: Bioremediation 3.0 Engineering pollutant-removing bacteria ... · biology, metabolic engineering, and synthetic biology, for the sake of understanding and reprograming biological

operon Biosci Biotechnol Biochem 71 849ndash854 httpdxdoiorg101271bbb60189

Li Z Yoshida N Wang A Nan J Liang B Zhang C Zhang D Suzuki D Zhou XXiao Z Katayama A 2015 Anaerobic mineralization of 246-tribromophenol toCO2 by a synthetic microbial community comprising Clostridium Dehalobacter andDesulfatiglans Bioresour Technol 176 225ndash232 httpdxdoiorg101016jbiortech201410097

Libis V Deleacutepine B Faulon J-L 2016 Expanding biosensing abilities through com-puter-aided design of metabolic pathways ACS Synth Biol 5 1076ndash1085 httpdxdoiorg101021acssynbio5b00225

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Litchfield C 2005 Thirty years and counting bioremediation in its prime Bioscience55 273ndash279 httpdxdoiorg1016410006-3568(2005)055[0273TYACBI]20CO2

Liu X Germaine KJ Ryan D Dowling DN 2010 Genetically modifiedPseudomonas biosensing biodegraders to detect PCB and chlorobenzoate bioavail-ability and biodegradation in contaminated soils Bioeng Bugs 1 198ndash206 httpdxdoiorg104161bbug1312443

Liu J Tan L Wang J Wang Z Ni H Li L 2016 Complete biodegradation ofchlorpyrifos by engineered Pseudomonas putida cells expressing surface-immobilizedlaccases Chemosphere 157 200ndash207 httpdxdoiorg101016jchemosphere201605031

Loeschcke A Markert A Wilhelm S Wirtz A Rosenau F Jaeger K-E Drepper T2013 TREX a universal tool for the transfer and expression of biosynthetic pathwaysin bacteria ACS Synth Biol 2 22ndash33 httpdxdoiorg101021sb3000657

Long MR Ong WK Reed JL 2015 Computational methods in metabolic en-gineering for strain design Curr Opin Biotechnol 34 135ndash141 httpdxdoiorg101016jcopbio201412019

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Martiacutenez-Garciacutea E Nikel PI Aparicio T de Lorenzo V 2014b Pseudomonas 20genetic upgrading of P putida KT2440 as an enhanced host for heterologous geneexpression Microb Cell Factories 13 159 httpdxdoiorg101186s12934-014-0159-3

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Wang B Kitney RI Joly N Buck M 2011 Engineering modular and orthogonalgenetic logic gates for robust digital-like synthetic biology Nat Commun 2 508httpdxdoiorg101038ncomms1516

Wang K Schmied WH Chin JW 2012 Reprogramming the genetic code from tri-plet to quadruplet codes Angew Chem Int Ed Eng 51 2288ndash2297 httpdxdoiorg101002anie201105016

Wang B Barahona M Buck M 2013 A modular cell-based biosensor using engineeredgenetic logic circuits to detect and integrate multiple environmental signals BiosensBioelectron 40 368ndash376 httpdxdoiorg101016jbios201208011

Wang L Xue C Wang L Zhao Q Wei W Sun Y 2016 Strain improvement ofChlorella sp for phenol biodegradation by adaptive laboratory evolution BioresourTechnol 205 264ndash268 httpdxdoiorg101016jbiortech201601022

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P Dvořaacutek et al Biotechnology Advances 35 (2017) 845ndash866

866

  • Bioremediation 30 Engineering pollutant-removing bacteria in the times of systemic biology
    • Introduction
    • Approaches and tools of systems biology and metabolic engineering for tailoring biodegradation pathways
      • Step 1 get to know the contaminant and find a suitable catabolic pathway
        • Databases
        • Pathway prediction systems and toxicity prediction algorithms
        • Detection and quantification of pathway building blocks
          • Step 2 select and get to know a suitable microbial host
            • Omics techniques in studies of bacterial degraders
              • Step 3 build the pathway and optimize its performance in the context of host metabolism
                • Computational tools for pathway and strain optimization
                • Experimental tools for pathway and strain optimization
                • Protein engineering to eliminate bottlenecks of biodegradation pathways
                    • Synthetic biology approaches and tools for biodegradation pathway engineering
                      • Development of robust microbial chassis for biodegradation of toxic chemicals
                      • Development of synthetic microbial consortia for enhanced biodegradation and bioremediation of pollutants
                      • Development of orthogonal systems in bacteria to enhance pollutant biodegradation and bioremediation
                      • Engineering microbial biodegradation pathways in vitro
                        • Towards planet-wide bioremediation interventions CO2 capture as a large-scale challenge
                        • Conclusions and perspectives
                        • Acknowledgements
                        • References
                        • Web references
Page 21: Bioremediation 3.0 Engineering pollutant-removing bacteria ... · biology, metabolic engineering, and synthetic biology, for the sake of understanding and reprograming biological

Pascual J Udaondo Z Molina L Segura A Esteve-Nuacutentildeez A Caballero A DuqueE Ramos JL van Dillewijn P 2015 Draft genome sequence of Pseudomonas putidaJLR11 a facultative anaerobic 246-trinitrotoluene biotransforming bacteriumGenome Announc 3 httpdxdoiorg101128genomeA00904-15

Patil VV Park K-H Lee S-G Woo E 2016 Structural analysis of the phenol-re-sponsive sensory domain of the transcription activator PoxR Structure 1993 (24)624ndash630 (Lond Engl) httpdxdoiorg101016jstr201603006

Patowary K Patowary R Kalita MC Deka S 2016 Development of an efficientbacterial consortium for the potential remediation of hydrocarbons from con-taminated sites Front Microbiol 7 1092 httpdxdoiorg103389fmicb201601092

Paul D Pandey G Jain RK 2005 Suicidal genetically engineered microorganisms forbioremediation need and perspectives Bioessays 27 563ndash573 httpdxdoiorg101002bies20220

Pavlova M Klvana M Prokop Z Chaloupkova R Banas P Otyepka M Wade RCTsuda M Nagata Y Damborsky J 2009 Redesigning dehalogenase access tunnelsas a strategy for degrading an anthropogenic substrate Nat Chem Biol 5 727ndash733httpdxdoiorg101038nchembio205

Petrie B Barden R Kasprzyk-Hordern B 2015 A review on emerging contaminants inwastewaters and the environment current knowledge understudied areas and re-commendations for future monitoring In Water Res Occurrence Fate Removal andAssessment of Emerging Contaminants in Water in the Water Cycle (FromWastewater to Drinking Water) 72 pp 3ndash27 httpdxdoiorg101016jwatres201408053

Planson A-G Carbonell P Paillard E Pollet N Faulon J-L 2012 Compoundtoxicity screening and structure-activity relationship modeling in Escherichia coliBiotechnol Bioeng 109 846ndash850 httpdxdoiorg101002bit24356

Puchałka J Oberhardt MA Godinho M Bielecka A Regenhardt D Timmis KNPapin JA Martins dos Santos VAP 2008 Genome-scale reconstruction andanalysis of the Pseudomonas putida KT2440 metabolic network facilitates applicationsin biotechnology PLoS Comput Biol 4 e1000210 httpdxdoiorg101371journalpcbi1000210

Ramos JL Wasserfallen A Rose K Timmis KN 1987 Redesigning metabolicroutes manipulation of TOL plasmid pathway for catabolism of alkylbenzoatesScience 235 593ndash596

Ramos J-L Marqueacutes S van Dillewijn P Espinosa-Urgel M Segura A Duque EKrell T Ramos-Gonzaacutelez M-I Bursakov S Roca A Solano J Fernaacutedez MNiqui JL Pizarro-Tobias P Wittich R-M 2011 Laboratory research aimed atclosing the gaps in microbial bioremediation Trends Biotechnol 29 641ndash647httpdxdoiorg101016jtibtech201106007

Ran FA Hsu PD Wright J Agarwala V Scott DA Zhang F 2013 Genome en-gineering using the CRISPR-Cas9 system Nat Protoc 8 2281ndash2308 httpdxdoiorg101038nprot2013143

Raunio H Kuusisto M Juvonen RO Pentikaumlinen OT 2015 Modeling of interac-tions between xenobiotics and cytochrome P450 (CYP) enzymes Front Pharmacol 6123 httpdxdoiorg103389fphar201500123

Ravikumar S Baylon MG Park SJ Choi J-I 2017 Engineered microbial biosensorsbased on bacterial two-component systems as synthetic biotechnology platforms inbioremediation and biorefinery Microb Cell Factories 16 62 httpdxdoiorg101186s12934-017-0675-z

Raymond RL Jamison VW Hudson JO 1975 Final Report on BeneficialStimulation of Bacterial Activity in Ground Waters Containing Petroleum ProductsSun Ventures Incorporated

Reineke W Knackmuss HJ 1979 Construction of haloaromatics utilising bacteriaNature 277 385ndash386

Renata H Wang ZJ Arnold FH 2015 Expanding the enzyme universe accessingnon-natural reactions by mechanism-guided directed evolution Angew Chem IntEd Eng 54 3351ndash3367 httpdxdoiorg101002anie201409470

Rockstroumlm J Gaffney O Rogelj J Meinshausen M Nakicenovic N SchellnhuberHJ 2017 A roadmap for rapid decarbonization Science 355 1269ndash1271 httpdxdoiorg101126scienceaah3443

Rojo F Pieper DH Engesser KH Knackmuss HJ Timmis KN 1987 Assemblageof ortho cleavage route for simultaneous degradation of chloro- and methylaromaticsScience 238 1395ndash1398

Rollin JA Martin del Campo J Myung S Sun F You C Bakovic A Castro RChandrayan SK Wu C-H Adams MWW Senger RS Zhang Y-HP 2015High-yield hydrogen production from biomass by in vitro metabolic engineeringmixed sugars coutilization and kinetic modeling Proc Natl Acad Sci U S A 1124964ndash4969 httpdxdoiorg101073pnas1417719112

Rui L Kwon YM Reardon KF Wood TK 2004 Metabolic pathway engineering toenhance aerobic degradation of chlorinated ethenes and to reduce their toxicity bycloning a novel glutathione S-transferase an evolved toluene o-monooxygenase andgamma-glutamylcysteine synthetase Environ Microbiol 6 491ndash500 httpdxdoiorg101111j1462-2920200400586x

Samin G Janssen DB 2012 Transformation and biodegradation of 123-tri-chloropropane (TCP) Environ Sci Pollut Res Int 19 3067ndash3078 httpdxdoiorg101007s11356-012-0859-3

Samin G Pavlova M Arif MI Postema CP Damborsky J Janssen DB 2014 Apseudomonas putida strain genetically engineered for 123-trichloropropane bior-emediation Appl Environ Microbiol 80 5467ndash5476 httpdxdoiorg101128AEM01620-14

Santacoloma PA Sin G Gernaey KV Woodley JM 2011 Multienzyme-catalyzedprocesses next-generation biocatalysis Org Process Res Dev 15 203ndash212 httpdxdoiorg101021op1002159

Santos CNS Yoshikuni Y 2014 Engineering complex biological systems in bacteriathrough recombinase-assisted genome engineering Nat Protoc 9 1320ndash1336

httpdxdoiorg101038nprot2014084Sarigiannis DA Hansen U 2012 Considering the cumulative risk of mixtures of

chemicals - a challenge for policy makers Environ Health 11 (Suppl 1) S18 httpdxdoiorg1011861476-069X-11-S1-S18

Schallmey M Frunzke J Eggeling L Marienhagen J 2014 Looking for the pick ofthe bunch high-throughput screening of producing microorganisms with biosensorsCurr Opin Biotechnol 26 148ndash154 httpdxdoiorg101016jcopbio201401005

Schellenberger J Que R Fleming RMT Thiele I Orth JD Feist AM ZielinskiDC Bordbar A Lewis NE Rahmanian S Kang J Hyduke DR Palsson BOslash2011 Quantitative prediction of cellular metabolism with constraint-based modelsthe COBRA Toolbox v20 Nat Protoc 6 1290ndash1307 httpdxdoiorg101038nprot2011308

Schmidt M 2010 Xenobiology a new form of life as the ultimate biosafety toolBioessays 32 322ndash331 httpdxdoiorg101002bies200900147

Schmidt M (Ed) 2012 Synthetic Biology Industrial and Environmental Applications1st edition Wiley-Blackwell

Schmidt M de Lorenzo V 2016 Synthetic bugs on the loose containment options fordeeply engineered (micro)organisms Curr Opin Biotechnol 38 90ndash96 httpdxdoiorg101016jcopbio201601006

Schwander T Schada von Borzyskowski L Burgener S Cortina NS Erb TJ 2016A synthetic pathway for the fixation of carbon dioxide in vitro Science 354 900ndash904httpdxdoiorg101126scienceaah5237

Scism RA Bachmann BO 2010 Five-component cascade synthesis of nucleotideanalogues in an engineered self-immobilized enzyme aggregate Chembiochem EurJ Chem Biol 11 67ndash70 httpdxdoiorg101002cbic200900620

Scott SR Hasty J 2016 Quorum sensing communication modules for microbialconsortia ACS Synth Biol 5 969ndash977 httpdxdoiorg101021acssynbio5b00286

Shapir N Mongodin EF Sadowsky MJ Daugherty SC Nelson KE Wackett LP2007 Evolution of catabolic pathways genomic insights into microbial s-triazinemetabolism J Bacteriol 189 674ndash682 httpdxdoiorg101128JB01257-06

Sheldon RA 2011 Characteristic features and biotechnological applications of cross-linked enzyme aggregates (CLEAs) Appl Microbiol Biotechnol 92 467ndash477 httpdxdoiorg101007s00253-011-3554-2

Shi L Dong H Reguera G Beyenal H Lu A Liu J Yu H-Q Fredrickson JK2016 Extracellular electron transfer mechanisms between microorganisms and mi-nerals Nat Rev Microbiol 14 651ndash662 httpdxdoiorg101038nrmicro201693

Si T Xiao H Zhao H 2015 Rapid prototyping of microbial cell factories via genome-scale engineering Biotechnol Adv 33 1420ndash1432 httpdxdoiorg101016jbiotechadv201411007

Silva-Rocha R de Lorenzo V 2014 Engineering multicellular logic in bacteria withmetabolic wires ACS Synth Biol 3 204ndash209 httpdxdoiorg101021sb400064y

Siu K-H Chen RP Sun Q Chen L Tsai S-L Chen W 2015 Synthetic scaffolds forpathway enhancement Curr Opin Biotechnol 36 98ndash106 httpdxdoiorg101016jcopbio201508009

Skariyachan S Manjunatha V Sultana S Jois C Bai V Vasist KS 2016 Novelbacterial consortia isolated from plastic garbage processing areas demonstrated en-hanced degradation for low density polyethylene Environ Sci Pollut Res Int 2318307ndash18319 httpdxdoiorg101007s11356-016-7000-y

Sohn SB Kim TY Park JM Lee SY 2010 In silico genome-scale metabolic ana-lysis of Pseudomonas putida KT2440 for polyhydroxyalkanoate synthesis degradationof aromatics and anaerobic survival Biotechnol J 5 739ndash750 httpdxdoiorg101002biot201000124

Stephanopoulos G 1999 Metabolic fluxes and metabolic engineering Metab Eng 11ndash11 httpdxdoiorg101006mben19980101

St-Pierre F Cui L Priest DG Endy D Dodd IB Shearwin KE 2013 One-stepcloning and chromosomal integration of DNA ACS Synth Biol 2 537ndash541 httpdxdoiorg101021sb400021j

Stucki G Thueer M 1995 Experiences of a large-scale application of 12-di-chloroethane degrading microorganisms for groundwater treatment Environ SciTechnol 29 2339ndash2345 httpdxdoiorg101021es00009a028

Takahashi K Ishikawa N Sadamoto Y Sasamoto H Ohta S Shiozawa A MiyoshiF Naito Y Nakayama Y Tomita M 2003 E-cell 2 multi-platform E-cell simu-lation system Bioinforma Oxf Engl 19 1727ndash1729

Tolia NH Joshua-Tor L 2006 Strategies for protein coexpression in Escherichia coliNat Methods 3 55ndash64 httpdxdoiorg101038nmeth0106-55

Tozakidis IEP Brossette T Lenz F Maas RM Jose J 2016 Proof of concept forthe simplified breakdown of cellulose by combining Pseudomonas putida strains withsurface displayed thermophilic endocellulase exocellulase and β-glucosidaseMicrob Cell Factories 15 103 httpdxdoiorg101186s12934-016-0505-8

Troumlgl J Krhůtkovaacute O Pilařovaacute V Daacuteňovaacute P Holiacuteček R Kohlovaacute M Hejda SSmrčka J Bouškovaacute A Křiklavovaacute L 2012 Removal of nitrates from high-salinitywastewaters from desulphurization process with denitrifying bacteria encapsulated inLentikats Biocatalyst Int J Environ Sci Technol 9 425ndash432 httpdxdoiorg101007s13762-012-0048-4

UniProt Consortium 2015 UniProt a hub for protein information Nucleic Acids Res 43D204ndash212 httpdxdoiorg101093nargku989

Vallenet D Calteau A Cruveiller S Gachet M Lajus A Josso A Mercier JRenaux A Rollin J Rouy Z Roche D Scarpelli C Meacutedigue C 2016MicroScope in 2017 an expanding and evolving integrated resource for communityexpertise of microbial genomes Nucleic Acids Res httpdxdoiorg101093nargkw1101

van Leeuwen JGE Wijma HJ Floor RJ van der Laan J-M Janssen DB 2012

P Dvořaacutek et al Biotechnology Advances 35 (2017) 845ndash866

865

Directed evolution strategies for enantiocomplementary haloalkane dehalogenasesfrom chemical waste to enantiopure building blocks Chembiochem Eur J ChemBiol 13 137ndash148 httpdxdoiorg101002cbic201100579

Vilchez-Vargas R Junca H Pieper DH 2010 Metabolic networks microbial ecologyand ldquoomicsrdquo technologies towards understanding in situ biodegradation processesEnviron Microbiol 12 3089ndash3104 httpdxdoiorg101111j1462-2920201002340x

Wang HH Isaacs FJ Carr PA Sun ZZ Xu G Forest CR Church GM 2009Programming cells by multiplex genome engineering and accelerated evolutionNature 460 894ndash898 httpdxdoiorg101038nature08187

Wang B Kitney RI Joly N Buck M 2011 Engineering modular and orthogonalgenetic logic gates for robust digital-like synthetic biology Nat Commun 2 508httpdxdoiorg101038ncomms1516

Wang K Schmied WH Chin JW 2012 Reprogramming the genetic code from tri-plet to quadruplet codes Angew Chem Int Ed Eng 51 2288ndash2297 httpdxdoiorg101002anie201105016

Wang B Barahona M Buck M 2013 A modular cell-based biosensor using engineeredgenetic logic circuits to detect and integrate multiple environmental signals BiosensBioelectron 40 368ndash376 httpdxdoiorg101016jbios201208011

Wang L Xue C Wang L Zhao Q Wei W Sun Y 2016 Strain improvement ofChlorella sp for phenol biodegradation by adaptive laboratory evolution BioresourTechnol 205 264ndash268 httpdxdoiorg101016jbiortech201601022

Wei R Oeser T Schmidt J Meier R Barth M Then J Zimmermann W 2016Engineered bacterial polyester hydrolases efficiently degrade polyethylene ter-ephthalate due to relieved product inhibition Biotechnol Bioeng 113 1658ndash1665httpdxdoiorg101002bit25941

Wibberg D Bremges A Dammann-Kalinowski T Maus I Igentildeo MI Vogelsang RKoumlnig C Luque-Almagro VM Roldaacuten MD Sczyrba A Moreno-Viviaacuten CBlasco R Puumlhler A Schluumlter A 2016 Finished genome sequence and methylomeof the cyanide-degrading Pseudomonas pseudoalcaligenes strain CECT5344 as resolvedby single-molecule real-time sequencing J Biotechnol 232 61ndash68 httpdxdoiorg101016jjbiotec201604008

Wicker J Lorsbach T Guumltlein M Schmid E Latino D Kramer S Fenner K 2016enviPathmdashthe environmental contaminant biotransformation pathway resourceNucleic Acids Res 44 D502ndash508 httpdxdoiorg101093nargkv1229

Wierckx N Prieto MA Pomposiello P de Lorenzo V OConnor K Blank LM2015 Plastic waste as a novel substrate for industrial biotechnology MicrobBiotechnol 8 900ndash903 httpdxdoiorg1011111751-791512312

Wigginton N Yeston J Malakoff D 2012 Working with waste More treasure thantrash Introduction Science 337 662ndash663 httpdxdoiorg101126science3376095662

Winsor GL Griffiths EJ Lo R Dhillon BK Shay JA Brinkman FSL 2016Enhanced annotations and features for comparing thousands of Pseudomonas gen-omes in the Pseudomonas genome database Nucleic Acids Res 44 D646ndash653httpdxdoiorg101093nargkv1227

Wittich R-M Wolff P 2007 Growth of the genetically engineered strain Cupriavidusnecator RW112 with chlorobenzoates and technical chlorobiphenyls Microbiology153 186ndash195 httpdxdoiorg101099mic029096-0

Wittich R-M van Dillewijn P Ramos JL 2010 Rational construction of bacterialstrains with newimproved catabolic capabilities for the efficient breakdown of en-vironmental pollutants In Timmis KN (Ed) Handbook of Hydrocarbon and LipidMicrobiology Springer Berlin Heidelberg pp 1247ndash1254

Wolfaardt GM Lawrence JR Robarts RD Caldwell SJ Caldwell DE 1994Multicellular organization in a degradative biofilm community Appl EnvironMicrobiol 60 434ndash446

Wu G Yan Q Jones JA Tang YJ Fong SS Koffas MAG 2016 Metabolicburden cornerstones in synthetic biology and metabolic engineering applicationsTrends Biotechnol 34 652ndash664 httpdxdoiorg101016jtibtech201602010

Xu P Vansiri A Bhan N Koffas MAG 2012 ePathBrick a synthetic biology plat-form for engineering metabolic pathways in E coli ACS Synth Biol 1 256ndash266httpdxdoiorg101021sb300016b

Yadid I Rudolph J Hlouchova K Copley SD 2013 Sequestration of a highly re-active intermediate in an evolving pathway for degradation of pentachlorophenolProc Natl Acad Sci U S A 110 E2182ndash2190 httpdxdoiorg101073pnas1214052110

Yang J Liu R Jiang H Yang Y Qiao C 2012 Selection of a whole-cell biocatalystfor methyl parathion biodegradation Appl Microbiol Biotechnol 95 1625ndash1632httpdxdoiorg101007s00253-011-3792-3

Yang Y Yang J Jiang L 2016 Comment on A bacterium that degrades and assim-ilates poly(ethylene terephthalate) Science 353 759 httpdxdoiorg101126scienceaaf8305

Yoshida S Hiraga K Takehana T Taniguchi I Yamaji H Maeda Y Toyohara KMiyamoto K Kimura Y Oda K 2016a A bacterium that degrades and assimilatespoly(ethylene terephthalate) Science 351 1196ndash1199 httpdxdoiorg101126scienceaad6359

Yoshida S Hiraga K Takehana T Taniguchi I Yamaji H Maeda Y Toyohara KMiyamoto K Kimura Y Oda K 2016b Response to comment on A bacterium thatdegrades and assimilates poly(ethylene terephthalate) Science 353 759 httpdxdoiorg101126scienceaaf8625

Zobel S Benedetti I Eisenbach L de Lorenzo V Wierckx N Blank LM 2015 Tn7-based device for calibrated heterologous gene expression in Pseudomonas putida ACSSynth Biol 4 1341ndash1351 httpdxdoiorg101021acssynbio5b00058

Web references

httptoxicsusgsgov accessed 2152017

httpwwweugrisinfo accessed 2152017

httpeawag-bbdethzch accessed 2972017

httpsenvipathorg accessed 2972017

httpsmetacycorg accessed 2972017

httpsbiocycorg accessed 2972017

wwwuniprotorg accessed 2252017

httprapidumnedurapid accessed 2252017

httplcsb-databasesepflchatlas accessed 2252017

httpsensipathmicalisfr accessed 2672017

httpsntpniehsnihgovresultstox21 accessed 26717

httpsabsynthissbgenopolefrBioinformatics accessed 2252017

httpspubchemncbinlmnihgov accessed 2972017

httpwwwchemspidercom accessed 2972017

httpwwwpseudomonascom accessed 2972017

httpswwwncbinlmnihgovgenome accessed 2252017

wwwgenoscopecnsfragcmicroscopehome accessed 2252017

httpsevacnbcsices accessed 2252017

P Dvořaacutek et al Biotechnology Advances 35 (2017) 845ndash866

866

  • Bioremediation 30 Engineering pollutant-removing bacteria in the times of systemic biology
    • Introduction
    • Approaches and tools of systems biology and metabolic engineering for tailoring biodegradation pathways
      • Step 1 get to know the contaminant and find a suitable catabolic pathway
        • Databases
        • Pathway prediction systems and toxicity prediction algorithms
        • Detection and quantification of pathway building blocks
          • Step 2 select and get to know a suitable microbial host
            • Omics techniques in studies of bacterial degraders
              • Step 3 build the pathway and optimize its performance in the context of host metabolism
                • Computational tools for pathway and strain optimization
                • Experimental tools for pathway and strain optimization
                • Protein engineering to eliminate bottlenecks of biodegradation pathways
                    • Synthetic biology approaches and tools for biodegradation pathway engineering
                      • Development of robust microbial chassis for biodegradation of toxic chemicals
                      • Development of synthetic microbial consortia for enhanced biodegradation and bioremediation of pollutants
                      • Development of orthogonal systems in bacteria to enhance pollutant biodegradation and bioremediation
                      • Engineering microbial biodegradation pathways in vitro
                        • Towards planet-wide bioremediation interventions CO2 capture as a large-scale challenge
                        • Conclusions and perspectives
                        • Acknowledgements
                        • References
                        • Web references
Page 22: Bioremediation 3.0 Engineering pollutant-removing bacteria ... · biology, metabolic engineering, and synthetic biology, for the sake of understanding and reprograming biological

Directed evolution strategies for enantiocomplementary haloalkane dehalogenasesfrom chemical waste to enantiopure building blocks Chembiochem Eur J ChemBiol 13 137ndash148 httpdxdoiorg101002cbic201100579

Vilchez-Vargas R Junca H Pieper DH 2010 Metabolic networks microbial ecologyand ldquoomicsrdquo technologies towards understanding in situ biodegradation processesEnviron Microbiol 12 3089ndash3104 httpdxdoiorg101111j1462-2920201002340x

Wang HH Isaacs FJ Carr PA Sun ZZ Xu G Forest CR Church GM 2009Programming cells by multiplex genome engineering and accelerated evolutionNature 460 894ndash898 httpdxdoiorg101038nature08187

Wang B Kitney RI Joly N Buck M 2011 Engineering modular and orthogonalgenetic logic gates for robust digital-like synthetic biology Nat Commun 2 508httpdxdoiorg101038ncomms1516

Wang K Schmied WH Chin JW 2012 Reprogramming the genetic code from tri-plet to quadruplet codes Angew Chem Int Ed Eng 51 2288ndash2297 httpdxdoiorg101002anie201105016

Wang B Barahona M Buck M 2013 A modular cell-based biosensor using engineeredgenetic logic circuits to detect and integrate multiple environmental signals BiosensBioelectron 40 368ndash376 httpdxdoiorg101016jbios201208011

Wang L Xue C Wang L Zhao Q Wei W Sun Y 2016 Strain improvement ofChlorella sp for phenol biodegradation by adaptive laboratory evolution BioresourTechnol 205 264ndash268 httpdxdoiorg101016jbiortech201601022

Wei R Oeser T Schmidt J Meier R Barth M Then J Zimmermann W 2016Engineered bacterial polyester hydrolases efficiently degrade polyethylene ter-ephthalate due to relieved product inhibition Biotechnol Bioeng 113 1658ndash1665httpdxdoiorg101002bit25941

Wibberg D Bremges A Dammann-Kalinowski T Maus I Igentildeo MI Vogelsang RKoumlnig C Luque-Almagro VM Roldaacuten MD Sczyrba A Moreno-Viviaacuten CBlasco R Puumlhler A Schluumlter A 2016 Finished genome sequence and methylomeof the cyanide-degrading Pseudomonas pseudoalcaligenes strain CECT5344 as resolvedby single-molecule real-time sequencing J Biotechnol 232 61ndash68 httpdxdoiorg101016jjbiotec201604008

Wicker J Lorsbach T Guumltlein M Schmid E Latino D Kramer S Fenner K 2016enviPathmdashthe environmental contaminant biotransformation pathway resourceNucleic Acids Res 44 D502ndash508 httpdxdoiorg101093nargkv1229

Wierckx N Prieto MA Pomposiello P de Lorenzo V OConnor K Blank LM2015 Plastic waste as a novel substrate for industrial biotechnology MicrobBiotechnol 8 900ndash903 httpdxdoiorg1011111751-791512312

Wigginton N Yeston J Malakoff D 2012 Working with waste More treasure thantrash Introduction Science 337 662ndash663 httpdxdoiorg101126science3376095662

Winsor GL Griffiths EJ Lo R Dhillon BK Shay JA Brinkman FSL 2016Enhanced annotations and features for comparing thousands of Pseudomonas gen-omes in the Pseudomonas genome database Nucleic Acids Res 44 D646ndash653httpdxdoiorg101093nargkv1227

Wittich R-M Wolff P 2007 Growth of the genetically engineered strain Cupriavidusnecator RW112 with chlorobenzoates and technical chlorobiphenyls Microbiology153 186ndash195 httpdxdoiorg101099mic029096-0

Wittich R-M van Dillewijn P Ramos JL 2010 Rational construction of bacterialstrains with newimproved catabolic capabilities for the efficient breakdown of en-vironmental pollutants In Timmis KN (Ed) Handbook of Hydrocarbon and LipidMicrobiology Springer Berlin Heidelberg pp 1247ndash1254

Wolfaardt GM Lawrence JR Robarts RD Caldwell SJ Caldwell DE 1994Multicellular organization in a degradative biofilm community Appl EnvironMicrobiol 60 434ndash446

Wu G Yan Q Jones JA Tang YJ Fong SS Koffas MAG 2016 Metabolicburden cornerstones in synthetic biology and metabolic engineering applicationsTrends Biotechnol 34 652ndash664 httpdxdoiorg101016jtibtech201602010

Xu P Vansiri A Bhan N Koffas MAG 2012 ePathBrick a synthetic biology plat-form for engineering metabolic pathways in E coli ACS Synth Biol 1 256ndash266httpdxdoiorg101021sb300016b

Yadid I Rudolph J Hlouchova K Copley SD 2013 Sequestration of a highly re-active intermediate in an evolving pathway for degradation of pentachlorophenolProc Natl Acad Sci U S A 110 E2182ndash2190 httpdxdoiorg101073pnas1214052110

Yang J Liu R Jiang H Yang Y Qiao C 2012 Selection of a whole-cell biocatalystfor methyl parathion biodegradation Appl Microbiol Biotechnol 95 1625ndash1632httpdxdoiorg101007s00253-011-3792-3

Yang Y Yang J Jiang L 2016 Comment on A bacterium that degrades and assim-ilates poly(ethylene terephthalate) Science 353 759 httpdxdoiorg101126scienceaaf8305

Yoshida S Hiraga K Takehana T Taniguchi I Yamaji H Maeda Y Toyohara KMiyamoto K Kimura Y Oda K 2016a A bacterium that degrades and assimilatespoly(ethylene terephthalate) Science 351 1196ndash1199 httpdxdoiorg101126scienceaad6359

Yoshida S Hiraga K Takehana T Taniguchi I Yamaji H Maeda Y Toyohara KMiyamoto K Kimura Y Oda K 2016b Response to comment on A bacterium thatdegrades and assimilates poly(ethylene terephthalate) Science 353 759 httpdxdoiorg101126scienceaaf8625

Zobel S Benedetti I Eisenbach L de Lorenzo V Wierckx N Blank LM 2015 Tn7-based device for calibrated heterologous gene expression in Pseudomonas putida ACSSynth Biol 4 1341ndash1351 httpdxdoiorg101021acssynbio5b00058

Web references

httptoxicsusgsgov accessed 2152017

httpwwweugrisinfo accessed 2152017

httpeawag-bbdethzch accessed 2972017

httpsenvipathorg accessed 2972017

httpsmetacycorg accessed 2972017

httpsbiocycorg accessed 2972017

wwwuniprotorg accessed 2252017

httprapidumnedurapid accessed 2252017

httplcsb-databasesepflchatlas accessed 2252017

httpsensipathmicalisfr accessed 2672017

httpsntpniehsnihgovresultstox21 accessed 26717

httpsabsynthissbgenopolefrBioinformatics accessed 2252017

httpspubchemncbinlmnihgov accessed 2972017

httpwwwchemspidercom accessed 2972017

httpwwwpseudomonascom accessed 2972017

httpswwwncbinlmnihgovgenome accessed 2252017

wwwgenoscopecnsfragcmicroscopehome accessed 2252017

httpsevacnbcsices accessed 2252017

P Dvořaacutek et al Biotechnology Advances 35 (2017) 845ndash866

866

  • Bioremediation 30 Engineering pollutant-removing bacteria in the times of systemic biology
    • Introduction
    • Approaches and tools of systems biology and metabolic engineering for tailoring biodegradation pathways
      • Step 1 get to know the contaminant and find a suitable catabolic pathway
        • Databases
        • Pathway prediction systems and toxicity prediction algorithms
        • Detection and quantification of pathway building blocks
          • Step 2 select and get to know a suitable microbial host
            • Omics techniques in studies of bacterial degraders
              • Step 3 build the pathway and optimize its performance in the context of host metabolism
                • Computational tools for pathway and strain optimization
                • Experimental tools for pathway and strain optimization
                • Protein engineering to eliminate bottlenecks of biodegradation pathways
                    • Synthetic biology approaches and tools for biodegradation pathway engineering
                      • Development of robust microbial chassis for biodegradation of toxic chemicals
                      • Development of synthetic microbial consortia for enhanced biodegradation and bioremediation of pollutants
                      • Development of orthogonal systems in bacteria to enhance pollutant biodegradation and bioremediation
                      • Engineering microbial biodegradation pathways in vitro
                        • Towards planet-wide bioremediation interventions CO2 capture as a large-scale challenge
                        • Conclusions and perspectives
                        • Acknowledgements
                        • References
                        • Web references