reference genomes - science | aaasthe ncbi’s genome project lists 1,613 complete microbial...

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Drug Research Agriculture Disease Animal Breeding Once upon a time, researchers believed that sequencing the human genomeor any genome, reallywould unlock all of our biological secrets. Today we know better. “The genome is only the beginning,” goes the familiar refrain. And in most cases, obtaining a reference genome is the beginning. As its name suggests, a reference genome is essentially the working genome sequence of a given organisma molecular yardstick against which other sequences can be measured (though it may in fact represent the contributions of several distinct individuals). From resequencing to trait mapping, phylogenenetics to microbial forensics, reference genomes provide the foundation upon which future genomics datasets can build. After all, how can you discern variation without a reference against which to compare it? Applications run the gamut from basic science to medicine to agriculture. Researchers at the University of Michigan and in China used the draft genome of the giant panda to probe its switch from a carnivorous to herbivorous lifestyle, while researchers in the United States and Mexico are using the maize reference genome to study the plant family’s genetic diversity and domestication. At the University of California, Berkeley, researchers used 27 reference genomes to study the evolution of social behavior in the honeybee, and an international team of scientists sequencing the domestic turkey (Meleagris gallopavo) used the chicken and zebra finch genomes to address the evolution of birds. From St. Louis to Boston, Cambridgeshire to Shenzhen, sequencing factories armed with dozens of state-of-the-art next generation instruments are cranking out sequences to the tune of terabasesthe equivalent of several hundred human genomesevery day. Much of that work revolves around reference genomes, whether de novo sequencing of an organism for the first time, or resequencing to identify diversity and map loci of interest. To date, researchers have compiled complete reference genomes for well over 1,000 organisms (see graphic below). The NCBI’s Genome Project lists 1,613 complete microbial sequences, plus 40 eukaryotes. Another 1,121 eukaryotic projects are listed as either draft assemblies or works-in-progress. Their potential impact could be wide reaching. Consider the human reference genome, which has provided the molecular foundation for studies of human variation (for instance, the 1000 Genomes Project), disease gene mapping (Miller syndrome), and evolution (comparative genomics of the Neandertal genome). In agriculture, reference genomes could drive the development of drought- or pest-resistant plants as well as more robust and nutritious crops. Animal breeders can mine reference genomes to better understand inter- and intra-species diversity, while drug developers can better stratify patient populations in clinical trials and, ultimately, for the delivery of more personalized therapies. First, though, researchers need to sequence the genomes. Driven by technology improvements and falling costs, large-scale efforts to do just that are under way. For the broader scientific community, such efforts will be invaluable. And, like the human genome itself, they are only the beginning. Applications and Impacts of Reference Genomes Drowning in Data It Takes a Village The typical data workflow in reference genome construction involves three steps: assembly (aligning the short sequencing reads into “contigs”), annotation (gene and regulatory element identification and function prediction), and analysis (such as phylogenetic analysis or whole-genome alignment). Dedicated sequencing centers have sizable staffs and resources dedicated to these informatics tasks. Yet between new sequencing technologies and evolving analytical tools, even these experts can have trouble staying current. For instance, the SEQanswers software wiki lists some 55 programs dedicated to the task of genome assembly alone (out of 409 applications overall). The problem is such that in late 2010 the bioinformatics community held the first “Assemblathon,” a sort of genome assembly competition whose goal is to encourage scientists to produce novel computational solutions that address informatics challenges. A second Assemblathon is slated for mid-2011. For the rest of the scientific community, there’s no shortage of free tools, from single-purpose software like BGI’s SOAPdenovo assembler, to integrated suites like Penn State University’s Galaxy, to do-it-yourself virtual bioinformatics machines like CloudBioLinux. Or, for a more polished approach, there are fee-based cloud services like DNAnexus. Either way, the research community can help fill the knowledge gaps. Indeed, in the genomics era, it takes a village. Efforts such as SEQanswers.com provide a forum for debate and answering questions, while organism-specific databases like WormBase, FlyBase, SilkDB, and The Arabidopsis Information Resource (TAIR) provide a central online meeting hall for an organism’s research community to collectively probe, annotate, and aggregate everything from SNPs and RNAi data to gene expression and literature resources. The Ensembl project has built genome databases for over 50 organisms, from alpaca to zebrafish. Now BGI is getting in on the act, with a plan to automatically generate and seed databases for every organism it sequences. Online Resources Reference Genomes A Molecular Foundation for Modern Biology TECHNOLOGY USED: = Roche/454 = Illumina/Solexa = Sanger = Life Technologies SOLiD = Not available So Il 454 S Fruit fly | Drosophila melanogaster 120 Mbp • Published 2000 Polar bear | Ursus maritimus 2.8 Gbp • Complete, unpublished 1000 Genomes Project — 1000genomes.org NCBI Genome Project — ncbi.nih.gov/genomeprj Wormbase — wormbase.org Flybase — flybase.org 1,608 instruments worldwide in 529 sequencing centers in 44 countries on 6 continents Helicobacter pylori 1.7 Mbp • Published 1997 Produced by the Science/AAAS Business Office Sponsored by Between falling per-base costs and ever-more-widespread adoption of next generation sequencing instrumentation, sequencing a DNA genome is no longer as daunting. As the Genome 10K Community of Scientists wrote in 2009, “The bold insight behind the success of the human genome project was that, although vast, the roughly 3 billion letters of digital information specifying the total genetic heritage of an individual is finite and might, with dedicated resolve, be brought within the reach of our technology.” That doesn’t mean the challenges are gone. Suppose your organism’s genome contains three billion base pairs. That’s six billion nucleotides when you factor in both maternal and paternal chromosomes. Yet it’s not enough to read each of those bases only once; between error rates, experimental biases, and sequence polymorphisms, the sequence must be read again and again to make sure it’s correct, like a copyeditor proofreading a document. A complete sequencing effort might require reading each base an average of, say, 20 to 40 times (that is, to 20x to 40x read depth). To saturate the genometo read every base confidentlyyou’re looking at sequencing on average at least 120 billion bases per individual. All those As, Cs, Gs, and Ts have to be quality controlled, stored, analyzed, copied, annotated, and comparedall of which takes information technology infrastructure, storage space, and considerable human and financial resources. How many resources? There’s no hard and fast rule, but a good rule of thumb is: For every dollar spent on sequencing hardware, expect to spend at least that amount on informatics. All those As, Cs, Gs, and Ts have to be quality controlled, stored, analyzed, copied, annotated, and compared SilkDB — silkworm.genomics.org.cn TAIR — arabidopsis.org SEQanswers — seqanswers.com Ensembl — ensembl.org Maize | Zea mays 2.3 Gbp • Published 2009 Selected Genome Sequencing Projects Many one-off genome projects are under way, but a few particularly ambitious ones aim to sequence multiple organisms. Here we highlight four such efforts. Ten Thousand Microbial (10K M) Genomes Project This BGI-led project is sequencing microbes from habitats as diverse as earth, air, glaciers, and hot springs. Their goal is the development of a genomic encyclopedia of microorganisms in China. Over 1,200 have been completed to date. ldl.genomics.cn/page/M-research.jsp 1000 Plant & Animal (1000P&A) Reference Genomes Project The BGI-initiated project focuses on “1,000 economically and scientifically important plant/animal species.” Fifty have been completed, another 100 are in progress. ldl.genomics.cn/page/pa-research.jsp Genome 10K Project (G10K) The G10K Project will sequence some 16,203 vertebrate genomes, a “genomic zoo“ representing at least one member of each vertebrate genus. The first 101 species have already been announced. genome10k.soe.ucsc.edu 5,000 Insect (i5K) and Other Arthropod Genome Initiative The Arthropod Genomic Consortium will target 5,000 insects with agricultural, medical, or research significance. So far, 76 have been proposed. arthropodgenomes.org/wiki/i5K (SEQanswers.org/wiki/SEQAnswers) KEY: T = terabases; 3730 = Applied Biosystems/Life Technologies 3730 capillary sequencer; HS = Illumina HiSeq 2000; GA2 = Illumina Genome Analyzer II; SOLiD = Life Technologies SOLiD; 454 = Roche/454 Life Sciences Genome Sequencer; PacBio = Pacific Biosciences PacBio RS; IT = Ion Torrent/Life Technologies Personal Genome Machine Base Count BGI ~5.6 T/day 15 137 27 Center Output ~0.3 T/day 10 20 9 2 1 2 ~4.9 T/day 15 30 26 8 1 1 The Genome Institute at Washington University 3730 HS GA2 SOLiD 454 PacBio IT Source: pathogenomics.bham.ac.uk/hts/stats — June 1, 2011 Number of Sequencers Wellcome Trust Sanger Institute African Swallowtail butterfly | Papilio dardanus Proposed for i5K Project Chinese alligator | Alligator sinensis 2.5 Gbp • Proposed for 1000P&A Project American cockroach | Periplaneta americana Proposed for i5K Project Cacao tree | Theobroma cacao 430 Mbp • Published 2010 Chicken (Red Jungle Fowl) | Gallus gallus 1.05 Gbp • Published 2004 Eastern barred bandicoot | Perameles gunnii 4.3 Gbp • Proposed for G10K Project Honeybee | Apis mellifera 236 Mbp • Published 2006 Human | Homo sapiens 3.2 Gbp • Published 2004 King cobra | Ophiophagus hannah 2.6 Gbp • Proposed for 1000P&A Project Zebrafish | Danio rerio 1.4 Gbp • Unpublished Alpine strawberry | Fragaria vesca 240 Mbp • Published 2010 Sheep (domestic) | Ovis aries 2.8 Gbp • In progress for 1000P&A Project Peanut | Arachis hypogaea 2.8 Gbp • Proposed for 1000P&A Project Pacific cod | Gadus macrocephalus 851 Mbp • Proposed for 1000P&A Project Nematode | Caenorhabditis elegans 103 Mbp • Published 1998 Neandertal | Homo neanderthalensis ~2.8 Gbp • Published 2010 Narwhal | Monodon monoceros Proposed for G10K Project House mouse | Mus musculus 2.66 Gbp • Published 2009 Marmalade hoverfly | Episyrphus balteatus Proposed for i5K Project MRSA | Staphylococcus aureus 2.8 Mbp • Published 2004 Swine flu | Influenza virus A H1N1 13.5 kbp • Published 2011 Indian rice | Oryza sativa subsp. indica 466 Mbp • Published 2002 Giant panda | Ailuropoda melanoleuca 2.46 Gbp • Published 2010

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Page 1: Reference Genomes - Science | AAASThe NCBI’s Genome Project lists 1,613 complete microbial sequences, plus 40 eukaryotes. Another 1,121 eukaryotic projects are listed as either draft

Drug Research AgricultureDisease

Animal Breeding

Once upon a time, researchers believed that sequencing the human genome—or any genome, really—would unlock all of our biological secrets. Today we know better. “The genome is only the beginning,” goes the familiar refrain. And in most cases, obtaining a reference genome is the beginning.

As its name suggests, a reference genome is essentially the working genome sequence of a given organism—a molecular yardstick against which other sequences can be measured (though it may in fact represent the contributions of several distinct individuals). From resequencing to trait mapping, phylogenenetics to microbial forensics, reference genomes provide the foundation upon which future genomics datasets can build. After all, how can you

discern variation without a reference against which to compare it?

Applications run the gamut from basic science to medicine to agriculture. Researchers at the University of Michigan and in China used the draft genome of the giant panda to probe its switch from a carnivorous to

herbivorous lifestyle, while researchers in the United States and Mexico are using the maize reference genome to study the plant family’s genetic diversity and domestication. At the University of California, Berkeley, researchers used 27 reference genomes to study the evolution of social behavior in the honeybee, and an international team of scientists sequencing the domestic turkey (Meleagris gallopavo) used the chicken and zebra finch genomes to address the evolution of birds.

From St. Louis to Boston, Cambridgeshire to Shenzhen, sequencing factories armed with dozens of state-of-the-art next generation instruments are cranking out sequences to the tune of terabases—the equivalent of several hundred human genomes—every day. Much of that work revolves around reference genomes, whether de novo sequencing of an organism for the first time, or resequencing to identify diversity and map loci of interest.

To date, researchers have compiled complete reference genomes for well over 1,000 organisms (see graphic below). The NCBI’s Genome Project lists 1,613 complete microbial sequences, plus 40 eukaryotes. Another 1,121 eukaryotic projects are listed as either draft assemblies or works-in-progress.

Their potential impact could be wide reaching. Consider the human reference genome, which has provided the molecular foundation for studies of human variation (for instance, the 1000 Genomes Project), disease gene mapping (Miller syndrome), and evolution (comparative genomics of the Neandertal genome).

In agriculture, reference genomes could drive the development of drought- or pest-resistant plants as well as more robust and nutritious crops. Animal breeders can mine reference genomes to better understand inter- and intra-species diversity, while drug developers can better stratify patient populations in clinical trials and, ultimately, for the delivery of more personalized therapies. First, though, researchers need to sequence the genomes. Driven by technology improvements and falling costs, large-scale efforts to do just that are under way. For the broader scientific community, such efforts will be invaluable. And, like the human genome itself, they are only the beginning.

Applications and Impacts of Reference Genomes

Drowning in Data

It Takes a VillageThe typical data workflow in reference genome construction involves three steps: assembly (aligning the short sequencing reads into “contigs”), annotation (gene and regulatory element identification and function prediction), and analysis (such as phylogenetic analysis or whole-genome alignment).

Dedicated sequencing centers have sizable staffs and resources dedicated to these informatics tasks. Yet between new sequencing technologies and evolving analytical tools, even these experts can have

trouble staying current. For instance, the SEQanswers software wiki lists some 55 programs dedicated to the task of genome assembly alone (out of 409

applications overall). The problem is such that in late 2010 the bioinformatics community held the first “Assemblathon,” a sort of genome assembly competition whose goal is to

encourage scientists to produce novel computational solutions that address informatics challenges. A second Assemblathon is slated for mid-2011.

For the rest of the scientific community, there’s no shortage of free tools, from single-purpose software like BGI’s SOAPdenovo assembler, to integrated suites like Penn State University’s Galaxy, to do-it-yourself virtual bioinformatics machines like

CloudBioLinux. Or, for a more polished approach, there are fee-based cloud services like DNAnexus. Either way, the research community can help fill the knowledge gaps.

Indeed, in the genomics era, it takes a village. Efforts such as SEQanswers.com provide a forum for debate and answering questions, while organism-specific databases like WormBase,

FlyBase, SilkDB, and The Arabidopsis Information Resource (TAIR) provide a central online meeting hall for an organism’s research community to collectively probe, annotate, and aggregate everything from SNPs and RNAi data to gene expression and literature resources. The Ensembl project has built genome databases for over 50 organisms, from alpaca to zebrafish. Now BGI is getting in on the act, with a plan to automatically generate and seed databases for every organism it sequences.

Online Resources

Reference GenomesA Molecular Foundation for Modern Biology

TECHNOLOGY USED: = Roche/454 = Illumina/Solexa = Sanger = Life Technologies SOLiD = Not availableSoIl454 S

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Produced by the Science/AAAS Business OfficeSponsored by

Between falling per-base costs and ever-more-widespread adoption of next generation sequencing instrumentation, sequencing a DNA genome is no longer as daunting. As the Genome 10K Community of Scientists wrote in 2009, “The bold insight behind the success of the human genome project was that, although vast, the roughly 3 billion letters of digital information specifying the total genetic heritage of an individual is finite and might, with dedicated resolve, be brought within the reach of our technology.”

That doesn’t mean the challenges are gone. Suppose your organism’s genome contains three billion base pairs. That’s six billion nucleotides when you factor in both maternal and paternal chromosomes. Yet it’s not enough to read each of those bases only once; between error rates, experimental biases, and sequence polymorphisms, the sequence must be read again and again to make sure it’s correct, like a copyeditor proofreading a document. A complete sequencing effort might require reading each base an average of, say, 20 to 40 times (that is, to 20x to 40x read depth). To saturate the genome—to read every base confidently—you’re looking at sequencing on average at least 120 billion bases per individual. All those As, Cs, Gs, and Ts have to be quality controlled, stored, analyzed, copied, annotated, and compared—all of which takes information technology infrastructure, storage space, and considerable human and financial resources. How many resources? There’s no hard and fast rule, but a good rule of thumb is: For every dollar spent on sequencing hardware, expect to spend at least that amount on informatics.

All those As, Cs, Gs, and Ts have to be quality controlled, stored, analyzed, copied, annotated, and compared

SilkDB — silkworm.genomics.org.cn

TAIR — arabidopsis.org

SEQanswers — seqanswers.com

Ensembl — ensembl.org

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Selected GenomeSequencing Projects

Many one-off genome projects are under way, but a few particularly ambitious ones aim to

sequence multiple organisms. Here we highlight four such efforts.

Ten Thousand Microbial (10K M) Genomes Project

This BGI-led project is sequencing microbes from habitats as diverse as earth, air, glaciers, and hot springs. Their goal is the development of a genomic encyclopedia of microorganisms in China. Over 1,200 have been completed to date.

ldl.genomics.cn/page/M-research.jsp

1000 Plant & Animal (1000P&A) Reference Genomes Project The BGI-initiated project focuses on “1,000 economically and scientifically important plant/animal species.” Fifty have been completed, another 100 are in progress.

ldl.genomics.cn/page/pa-research.jsp

Genome 10K Project (G10K)

The G10K Project will sequence some 16,203 vertebrate genomes, a “genomic zoo“ representing at least one member of each vertebrate genus. The first 101 species have already been announced.

genome10k.soe.ucsc.edu

5,000 Insect (i5K) and Other Arthropod Genome Initiative

The Arthropod Genomic Consortium will target 5,000 insects with agricultural, medical, or research significance. So far, 76 have been proposed.

arthropodgenomes.org/wiki/i5K

(SEQanswers.org/wiki/SEQAnswers)

KEY: T = terabases; 3730 = Applied Biosystems/Life Technologies 3730 capillary sequencer; HS = Illumina HiSeq 2000; GA2 = Illumina Genome Analyzer II; SOLiD = Life Technologies SOLiD; 454 = Roche/454 Life Sciences Genome Sequencer; PacBio = Pacific Biosciences PacBio RS; IT = Ion Torrent/Life Technologies Personal Genome Machine

Base Count

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Center Output

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Number of Sequencers

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Page 2: Reference Genomes - Science | AAASThe NCBI’s Genome Project lists 1,613 complete microbial sequences, plus 40 eukaryotes. Another 1,121 eukaryotic projects are listed as either draft

A Science/AAAS Business Office PublicationSponsored by

Reference Genomes A Molecular Foundation for Modern Biology Reference Genomes A Molecular Foundation for Modern Biology

Scientific discoveries made completely de novo—out of thin air— are very rare. Almost all research breakthroughs, both big and small, are based on and build upon the work of others. Indeed, the creation of a firm foundation of knowledge is often imperative for scientific inquiry to thrive.

This holds true in the field of genomics, where one strives to tease out how a genome—a relatively simple string of A, G, C, and T bases—can encode all the instructions necessary to create life in all its forms. Take the human genome as an example. The sequencing of all 3 billion base pairs of the first human genome was a mammoth undertaking; some were skeptical that it was even possible. Many, however, believed that it was worth pursuing, perhaps because they saw the potential that this knowledge would open up. It’s unlikely that even the most optimistic proponents imagined that 20 years later, through advances in sequencing technology and data analysis, what previously took 13 years to complete now takes only a few days.

Completing a draft of the human genome provided the research community with a valuable prize. Not only did analysis of this genome clarify some previously erroneous guesswork, for example, regarding the number of genes encoded by our DNA (closer to 30,000 than the predicted 100,000), but it also provided a much-needed template on which to build future research. The power of having this reference genome became clear as scientists began using it as a baseline to compare and contrast their own sequencing data collected from different populations, or segments of populations (like those with a predisposition to certain diseases). It also allowed us to investigate what makes us human, at least at a genetic level, through comparisons with our closest ape relatives and even with fragments of Neandertal DNA.

Today, as hundreds, perhaps thousands, of human genomes are being sequenced, reference genomes are also being pursued for numerous other creatures with whom we share the planet. The motivators for such research are multifold. Often the drivers are economic, such as understanding pest or pesticide resistance in plants, or medical, as with virulence factors carried by microbes. For others, the motivation is sustainability; for example, enabling the breeding of endangered species, like pandas and polar bears, in captivity.

Whatever the reason, the sequencing of reference genomes provides us with a new way to see life and, through comparisons between and amongst species, offers a deeper and richer understanding of the world we live in.

Sean Sanders, PH.D.Commercial Editor, Science

Writer: Jeffrey Perkel, PH.D. • Illustrator/Designer: Mica Duran, M.S., C.M.I. • Editor: Sean Sanders, PH.D.

“If I have seen a little further it is by standing on the

shoulders of giants.” — ISAAC NEWTON TO ROBERT HOOKE,

February 5, 1676.

Publication date: July 8, 2011

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final bgi-scienceposterad_v2-Pg2.pdf 1 6/7/11 11:50 AM