the use of defined microbial communities to model host … · microbial communities are outlined,...

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The Use of Defined Microbial Communities To Model Host-Microbe Interactions in the Human Gut Janneke Elzinga, a John van der Oost, a Willem M. de Vos, a,b Hauke Smidt a a Laboratory of Microbiology, Wageningen University and Research, Wageningen, The Netherlands b Research Programme Unit Human Microbiome, Faculty of Medicine, Helsinki University, Helsinki, Finland SUMMARY ........................................................................................ 1 INTRODUCTION .................................................................................. 2 DEFINED COMMUNITIES MIMICKING THE NORMAL INTESTINAL MICROBIOTA IN VIVO ...................................................................................... 3 (Altered) Schaedler Flora ...................................................................... 3 Oligo-MM ..................................................................................... 20 SIHUMI(x) ..................................................................................... 20 Toward a Normal Model Gut Microbiota ................................................... 21 Defined Communities in Nonrodents ....................................................... 22 OTHER DEFINED COMMUNITIES IN VIVO ................................................... 23 Therapeutic Communities ................................................................... 23 Minimal Communities ........................................................................ 24 CRITICAL EVALUATION OF DEFINED COMMUNITIES IN VIVO: THE MICROBIOTA ..... 24 How Representative Are Defined Microbiota Models of a Normal Microbiota? ......... 24 Simplified versus Complex Communities ................................................... 25 Bottom-Up versus Top-Down Approaches ................................................. 27 Future Design ................................................................................ 27 CRITICAL EVALUATION OF DEFINED COMMUNITIES IN VIVO: THE HOST .............. 28 Host Parameters Influencing the Microbiota ............................................... 28 Validation of In Vivo Models ................................................................. 30 DEFINED COMMUNITIES IN VITRO ........................................................... 31 Modeling the Intestinal Microbiota In Vitro ................................................ 31 Modeling the Host In Vitro .................................................................. 32 Validation of In Vitro Models ................................................................ 33 CONCLUSIONS AND FUTURE OUTLOOK .................................................... 33 ACKNOWLEDGMENTS ......................................................................... 34 REFERENCES ..................................................................................... 34 AUTHOR BIOS ................................................................................... 40 SUMMARY The human intestinal ecosystem is characterized by a complex interplay between different microorganisms and the host. The high variation within the hu- man population further complicates the quest toward an adequate understanding of this complex system that is so relevant to human health and well-being. To study host-microbe interactions, defined synthetic bacterial communities have been intro- duced in gnotobiotic animals or in sophisticated in vitro cell models. This review re- inforces that our limited understanding has often hampered the appropriate design of defined communities that represent the human gut microbiota. On top of this, some communities have been applied to in vivo models that differ appreciably from the human host. In this review, the advantages and disadvantages of using defined microbial communities are outlined, and suggestions for future improvement of host-microbe interaction models are provided. With respect to the host, technologi- cal advances, such as the development of a gut-on-a-chip system and intestinal or- ganoids, may contribute to more-accurate in vitro models of the human host. With respect to the microbiota, due to the increasing availability of representative cul- tured isolates and their genomic sequences, our understanding and controllability of Citation Elzinga J, van der Oost J, de Vos WM, Smidt H. 2019. The use of defined microbial communities to model host-microbe interactions in the human gut. Microbiol Mol Biol Rev 83:e00054-18. https://doi.org/10.1128/ MMBR.00054-18. Copyright © 2019 American Society for Microbiology. All Rights Reserved. Address correspondence to Janneke Elzinga, [email protected]. Published 13 March 2019 REVIEW crossm June 2019 Volume 83 Issue 2 e00054-18 mmbr.asm.org 1 Microbiology and Molecular Biology Reviews on April 5, 2021 by guest http://mmbr.asm.org/ Downloaded from

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  • The Use of Defined Microbial Communities To ModelHost-Microbe Interactions in the Human Gut

    Janneke Elzinga,a John van der Oost,a Willem M. de Vos,a,b Hauke Smidta

    aLaboratory of Microbiology, Wageningen University and Research, Wageningen, The NetherlandsbResearch Programme Unit Human Microbiome, Faculty of Medicine, Helsinki University, Helsinki, Finland

    SUMMARY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1INTRODUCTION . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2DEFINED COMMUNITIES MIMICKING THE NORMAL INTESTINAL MICROBIOTA

    IN VIVO . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3(Altered) Schaedler Flora . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3Oligo-MM . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20SIHUMI(x) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20Toward a Normal Model Gut Microbiota . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 21Defined Communities in Nonrodents . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 22

    OTHER DEFINED COMMUNITIES IN VIVO . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 23Therapeutic Communities . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 23Minimal Communities . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 24

    CRITICAL EVALUATION OF DEFINED COMMUNITIES IN VIVO: THE MICROBIOTA . . . . . 24How Representative Are Defined Microbiota Models of a Normal Microbiota? . . . . . . . . . 24Simplified versus Complex Communities . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25Bottom-Up versus Top-Down Approaches . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 27Future Design . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 27

    CRITICAL EVALUATION OF DEFINED COMMUNITIES IN VIVO: THE HOST . . . . . . . . . . . . . . 28Host Parameters Influencing the Microbiota . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 28Validation of In Vivo Models . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 30

    DEFINED COMMUNITIES IN VITRO . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 31Modeling the Intestinal Microbiota In Vitro . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 31Modeling the Host In Vitro . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 32Validation of In Vitro Models . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 33

    CONCLUSIONS AND FUTURE OUTLOOK . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 33ACKNOWLEDGMENTS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 34REFERENCES . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 34AUTHOR BIOS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 40

    SUMMARY The human intestinal ecosystem is characterized by a complex interplaybetween different microorganisms and the host. The high variation within the hu-man population further complicates the quest toward an adequate understanding ofthis complex system that is so relevant to human health and well-being. To studyhost-microbe interactions, defined synthetic bacterial communities have been intro-duced in gnotobiotic animals or in sophisticated in vitro cell models. This review re-inforces that our limited understanding has often hampered the appropriate designof defined communities that represent the human gut microbiota. On top of this,some communities have been applied to in vivo models that differ appreciably fromthe human host. In this review, the advantages and disadvantages of using definedmicrobial communities are outlined, and suggestions for future improvement ofhost-microbe interaction models are provided. With respect to the host, technologi-cal advances, such as the development of a gut-on-a-chip system and intestinal or-ganoids, may contribute to more-accurate in vitro models of the human host. Withrespect to the microbiota, due to the increasing availability of representative cul-tured isolates and their genomic sequences, our understanding and controllability of

    Citation Elzinga J, van der Oost J, de Vos WM,Smidt H. 2019. The use of defined microbialcommunities to model host-microbeinteractions in the human gut. Microbiol MolBiol Rev 83:e00054-18. https://doi.org/10.1128/MMBR.00054-18.

    Copyright © 2019 American Society forMicrobiology. All Rights Reserved.

    Address correspondence to Janneke Elzinga,[email protected].

    Published 13 March 2019

    REVIEW

    crossm

    June 2019 Volume 83 Issue 2 e00054-18 mmbr.asm.org 1Microbiology and Molecular Biology Reviews

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    https://doi.org/10.1128/MMBR.00054-18https://doi.org/10.1128/MMBR.00054-18https://doi.org/10.1128/ASMCopyrightv2mailto:[email protected]://crossmark.crossref.org/dialog/?doi=10.1128/MMBR.00054-18&domain=pdf&date_stamp=2019-3-13https://mmbr.asm.orghttp://mmbr.asm.org/

  • the human gut “core microbiota” are likely to increase. Taken together, these ad-vancements could further unravel the molecular mechanisms underlying the humangut microbiota superorganism. Such a gain of insight would provide a solid basis forthe improvement of pre-, pro-, and synbiotics as well as the development of newtherapeutic microbes.

    KEYWORDS animal model, gut-on-a-chip, in vitro model, intestinal microbiota,minimal microbiota

    INTRODUCTION

    Given its involvement in metabolic, nutritional, physiological, and immunologicalprocesses, the human intestinal microbiome can be regarded as an essential organof the human body (1). Further strengthening its clinical relevance, the intestinalmicrobiome has been linked to numerous disease conditions, including metabolic andimmune disorders, cancer, and neurodegenerative diseases (2). However, apart from aremarkable increase in the amount of genome sequence data of the human gutmicrobiota, progress in functional insight has been hampered by its complexity: theexistence of more than 1,000 prevalent species (3), combined with the high interper-sonal variation within the human population in terms of genetics, environment, andhabits, results in a complex entity termed the human microbiome superorganism (4).The number of known host-microbe interactions has grown rapidly over the pastdecades, yet many aspects still remain obscure.

    To solve this complexity, there is a need for a reductionist approach in which bothhost and microbiome are simplified to the extent that experimental variables can betightly controlled and deliberately manipulated. Regarding the microbiota, synthetic ordefined communities have been proposed as useful models to study microbial ecology(5). In recent years, the number of cultivable gastrointestinal microbial species hasrapidly expanded (3) by the use of sophisticated or brute-force culturomics approaches(6, 7). These strategies have allowed for the design of defined communities that arerepresentative of the normal human intestinal microbiota. With respect to the humanhost, laboratory animals, notably mice, have proven valuable models for developinghuman medicine. The colonization of germfree (GF) animals with defined bacterialcommunities, resulting in gnotobiotic animals, has already been applied for decades.During the 1960s and 1970s, it was recognized that the intestines of GF animals displayaberrant histological, anatomical, and physiological characteristics compared to con-ventional laboratory animals (8). The development of the Schaedler cocktail for colo-nization of the murine gut (9) marked one of the first attempts to normalize GF mice.An altered version has been widely adopted as a standardized gut microbiota by animalbreeders and biomedical researchers ever since. Over time, various other definedcommunities have been designed to generate gnotobiotic animals for purposes be-yond standardization; they have proven to be a valuable in vivo tool to study microbialecology (e.g., microbial invasion, microbe-microbe interactions, and metabolism) andhost-microbe interactions. However, mice and other animal models have variouslimitations that hamper their use as models for the human microbiome, as was recentlyreviewed (10, 11). Interesting alternatives concern the development of sophisticated invitro models, such as organ-on-a-chip systems and organoids.

    This review summarizes existing models of host-microbe interactions in whichdefined communities, as models of the (human) gut microbiota, were applied. We aimto present all in vivo studies that used defined microbial communities representing theintestinal microbiota of healthy individuals and in which host parameters were con-sidered. The designs of these model communities, as well as the selection of their host,are compared and critically evaluated. The potential uses of defined communities in invitro (cellular) models, as a surrogate host, are outlined as well. We conclude bydiscussing the increased value, opportunities, and possible obstacles when applyingdefined communities in to-be-developed in vitro host-microbe interaction models.

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  • DEFINED COMMUNITIES MIMICKING THE NORMAL INTESTINAL MICROBIOTAIN VIVO

    A number of recent studies addressed host-microbe interactions in vivo by usingdefined communities representative of the healthy human gut microbiota (Tables 1 to 3).These include various mouse studies with more- or less-defined intestinal microbiota,which are summarized below. Studies in which animals were antibiotic treated beforebacterial colonization are excluded from our analysis, as their reproducibility andgnotobiology cannot be ensured (12). The following section first discusses the specif-ically named defined communities applied in rodents (Table 1) (n � 31), followed bynon-specifically-named communities in rodents (Table 2) (n � 16). Finally, the definedcommunities administered to nonrodent models are discussed (Table 3) (n � 6).

    (Altered) Schaedler Flora

    In 1965, Russel W. Schaedler colonized GF mice with a defined microbial communitycomposed of strains isolated from normal mice, to study the fate of the bacteria in thegastrointestinal tract (GIT) and their effect on cecum size. With respect to theseparameters, it turned out that the Schaedler flora (SF) was able to, at least partially,normalize the cecum size of GF mice in comparison with animals raised under con-ventional conditions (9). The defined microbial population was supplied to animalvendors to serve as a community that could limit infection of ex-GF rodents withopportunistic pathogens. Schaedler developed several different bacterial cocktails overtime. In 1978, Roger P. Orcutt set out to standardize and improve the SF flora, but inview of the monitoring costs, the total number of bacterial species was limited to eight.Orcutt made a selection of bacterial species (altered Schaedler flora [ASF]) based ontheir representation and stable colonization in the murine gut, their ease of identifi-cation (morphologically), and their presence in or interference with isolator contami-nants. For instance, the cocci and spore-forming, blunt-ended rods were eliminated,which represented the majority of isolator contaminants. Also, the amount of faculta-tive anaerobes was limited, as they outgrew aerobic isolator contaminants and thusimpeded the ability to detect the latter (13). The ASF consists of six Firmicutes (Clos-tridium species [ASF356], Lactobacillus intestinalis or Lactobacillus acidophilus [ASF360],Lactobacillus murinus or Lactobacillus salivarius [ASF361], Eubacterium plexicaudatum[ASF492], Pseudoflavonifractor sp. [ASF500], and Clostridium sp. [ASF502]), one Bacte-roidetes species (Parabacteroides distasonis [ASF519]), and one Deferribacteres species(Mucispirillum schaedleri [ASF457]).

    The ASF has been used multiple times as a reference or minimal defined microbiota,and its applications were extensively reviewed elsewhere (14). Several studies involvingASF in mice (or other animals) reported its effect on host parameters (Tables 1 to 3). Thelist is probably not exhaustive, given the wide application of ASF mice as a control orminor population in studies, which makes these studies harder to identify.

    The applications of ASF in rodents varied from wild-type strains (mostly C57BL/6 butalso C3H/HeN and Swiss Webster mice) to models prone to diseases, including irritablebowel disease (IBD) (15–17), type I diabetes (18), or colorectal cancer (19). The ASF lacksProteobacteria, a phylum shared by mice and humans, whereas some researchersintroduced Proteobacteria to ASF mice, such as Oxalobacter formigenes (20) and Esch-erichia coli (21). Other studies included only selected members of the ASF, because notall members were found to successfully colonize the murine cecum (18) or to test thelevels of colonization resistance of different combinations of ASF members (22). Overall,the application of ASF for the study host-microbe interactions has been quite diverse,regarding host strain, gut region of interest, and host parameters studied.

    Although the ASF has been used multiple times as a reference microbiota and hasaided in the establishment of other defined microbiota, such as Oligo-MM and theBristol microbiota, its representability of the normal gut microbiota has been criticized(23), as discussed below.

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    172

    Mou

    seM

    ouse

    (C57

    BL/6

    )N

    RN

    RN

    RN

    RTo

    tal

    inte

    stin

    alIg

    Aan

    din

    test

    inal

    IgA

    ,ant

    i-CBi

    r1;

    pro

    lifer

    atio

    nof

    sple

    nic

    CBi

    r1Tg

    Tce

    llsaf

    ter

    CBi

    r1ga

    vage

    173

    (Con

    tinue

    don

    next

    pag

    e)

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    on April 5, 2021 by guest

    http://mm

    br.asm.org/

    Dow

    nloaded from

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  • TAB

    LE1

    (Con

    tinue

    d)

    Con

    sort

    ium

    (no.

    ofsp

    ecie

    sb)

    Div

    isio

    nof

    ph

    ylae

    Stra

    inso

    urce

    (s)

    Hos

    tsp

    ecie

    s(s

    trai

    n)

    Part

    ofth

    eg

    utst

    udie

    df

    No.

    ofan

    imal

    s/g

    roup

    Ch

    owSe

    xA

    ge

    (col

    lect

    ion

    tim

    e[s]

    c )St

    udy

    outc

    ome(

    s)d

    Refe

    ren

    ce

    Mou

    seM

    ouse

    (B6.

    Rag�

    /�)

    NR

    NR

    F8–

    10w

    k(1

    0da

    ys)

    Hom

    eost

    atic

    and

    spon

    tane

    ous

    pro

    lifer

    atio

    nof

    TCR

    TgT

    cells

    inLP

    174

    Mou

    seM

    ouse

    (C57

    BL/6

    )5–

    8A

    utoc

    lave

    dch

    owN

    R8

    wk

    (at

    leas

    t3

    dpi)

    Aft

    erin

    fect

    ion,

    S.Ty

    phi

    mur

    ium

    leve

    lsin

    mes

    ente

    ricly

    mp

    hno

    des,

    sple

    en,c

    ecum

    ,and

    fece

    s;ce

    cal

    pat

    holo

    gysc

    ore;

    ceca

    lm

    icro

    bio

    tade

    nsity

    ;b

    acte

    rial

    cont

    ent

    and

    mic

    rob

    iota

    com

    ple

    xity

    infe

    ces

    97

    ASF

    (8an

    d9

    spec

    ies)

    8sp

    ecie

    s:A

    SF9

    spec

    ies:

    ASF

    �Es

    cher

    ichi

    aco

    liH

    A10

    8or

    HA

    107

    9sp

    ecie

    s:M

    ouse

    Mou

    se(C

    57BL

    /6)

    3N

    RN

    RN

    R(1

    19da

    ys)

    No.

    ofIg

    Ap

    lasm

    ace

    llsp

    erin

    test

    inal

    villu

    sin

    duod

    enum

    ,jej

    unum

    ,ile

    um,

    and

    colo

    n;Ig

    A-b

    acte

    rium

    bin

    ding

    inin

    test

    ine;

    anti-

    E.co

    liIg

    Atit

    er

    21

    ASF

    (8sp

    ecie

    s)M

    ouse

    Mou

    se(N

    MRI

    ,C

    57BL

    /6,B

    ALB

    /c,

    NIH

    Swis

    s,SW

    ,NM

    RI,

    MyD

    88�

    /�

    Tica

    m1�

    /�,

    SMA

    RTA

    ,C

    57BL

    /6.C

    D45

    .1�

    )

    3–10

    NR

    NR

    NR

    (up

    to28

    days

    )C

    ecal

    bac

    teria

    lco

    nten

    ts;

    colo

    nic

    Treg

    cell

    resp

    onse

    and

    rela

    tive

    IL-1

    0ex

    pre

    ssio

    nin

    sple

    en,M

    LN,P

    eyer

    ’sp

    atch

    es,c

    olon

    ican

    dsm

    all

    inte

    stin

    alLP

    ,tho

    raci

    cdu

    ctly

    mp

    h;IL

    -17

    pro

    duct

    ion;

    rela

    tive

    abun

    danc

    eof

    stra

    ins;

    mic

    rosc

    opic

    loca

    lizat

    ion

    inco

    lon

    and

    smal

    lin

    test

    ine

    175

    Mou

    seM

    ouse

    (Nod

    1�/�

    and

    Nod

    2�/�

    onC

    57BL

    /6b

    ackg

    roun

    d)

    NR

    NR

    NR

    6–9

    wk

    (NR)

    Cec

    alb

    acte

    rial

    cont

    ents

    ;in

    test

    inal

    tissu

    eco

    nduc

    tanc

    ean

    dC

    r-ED

    TAflu

    x;E-

    cadh

    erin

    pro

    tein

    exp

    ress

    ion

    and

    RegI

    II-ga

    mm

    am

    RNA

    exp

    ress

    ion

    inco

    lon;

    surv

    ival

    ,col

    itis

    dise

    ase

    seve

    rity,

    hist

    olog

    ysc

    ore,

    and

    mye

    lop

    erox

    idas

    eac

    tivity

    afte

    rD

    SSin

    duct

    ion;

    colo

    nic

    IL-6

    ,IL-

    10,M

    CP-

    1,IF

    N-c

    ,TN

    F-�

    ,IL-

    12p

    70le

    vels

    17

    Mou

    seM

    ouse

    (C57

    BL/6

    )N

    RA

    utoc

    lave

    dfo

    odBo

    th8–

    12w

    k(8

    –12

    wk)

    RegI

    II-ga

    mm

    aRN

    Aan

    dp

    rote

    inex

    pre

    ssio

    nin

    ileum

    and

    colo

    n

    176

    (Con

    tinue

    don

    next

    pag

    e)

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    br.asm.org/

    Dow

    nloaded from

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  • TAB

    LE1

    (Con

    tinue

    d)

    Con

    sort

    ium

    (no.

    ofsp

    ecie

    sb)

    Div

    isio

    nof

    ph

    ylae

    Stra

    inso

    urce

    (s)

    Hos

    tsp

    ecie

    s(s

    trai

    n)

    Part

    ofth

    eg

    utst

    udie

    df

    No.

    ofan

    imal

    s/g

    roup

    Ch

    owSe

    xA

    ge

    (col

    lect

    ion

    tim

    e[s]

    c )St

    udy

    outc

    ome(

    s)d

    Refe

    ren

    ce

    Mou

    seM

    ouse

    (C57

    BL/6

    and

    C57

    BL/6

    TSLP

    R�/�

    )

    3–5

    NR

    NR

    NR

    (28

    days

    )Ex

    pre

    ssio

    nof

    thym

    icst

    rom

    ally

    mp

    hop

    oiet

    inm

    RNA

    inin

    test

    inal

    epith

    elia

    lce

    llor

    colo

    nic

    LP(L

    P);%

    ofC

    D4�

    Tce

    llsse

    cret

    ing

    IL-1

    7Aan

    dIF

    Nga

    mm

    ain

    the

    colo

    nic

    LPan

    dM

    LN;e

    xpan

    sion

    ofco

    loni

    cTr

    egce

    llsin

    colo

    nic

    LPan

    dM

    LN;e

    xpre

    ssio

    nof

    rece

    pto

    rfo

    rTS

    LPb

    yC

    D4�

    and

    regu

    lato

    ryT

    cells

    177

    Mou

    seM

    ouse

    (NIH

    Swis

    s)4

    NR

    NR

    3da

    ys(3

    days

    )St

    ruct

    ure

    ofm

    yent

    eric

    ple

    xus,

    nerv

    ede

    nsity

    ,ave

    rage

    no.

    ofH

    uC/D

    -pos

    itive

    mye

    nter

    icne

    uron

    sp

    erga

    nglio

    n,ce

    llb

    ody

    size

    ,and

    aver

    age

    no.

    ofnN

    OS-

    pos

    itive

    neur

    ons

    per

    mye

    nter

    icga

    nglio

    nin

    duod

    enum

    ,jej

    unum

    ,and

    ileum

    ;sm

    all

    inte

    stin

    alm

    otili

    ty(f

    requ

    ency

    and

    amp

    litud

    eof

    mus

    cle

    cont

    ract

    ions

    )in

    duod

    enum

    ,je

    junu

    m,a

    ndile

    umb

    efor

    ean

    daf

    ter

    gene

    ral

    neur

    alor

    spec

    ific

    nitr

    ergi

    cb

    lock

    ade

    178

    Mou

    seM

    ouse

    (C57

    BL/6

    )5–

    14A

    utoc

    lave

    dm

    ouse

    bre

    eder

    ’sdi

    et(H

    arla

    n),

    unlim

    ited

    acce

    ss

    Both

    6–12

    wk

    (3w

    k)C

    olon

    ichi

    stol

    ogy,

    infla

    mm

    ator

    y(M

    PO)

    activ

    ity,

    ente

    rop

    athy

    (pre

    senc

    eof

    feca

    lal

    bum

    in),

    and

    cyto

    kine

    exp

    ress

    ion;

    feca

    lm

    icro

    bio

    tap

    rofil

    es;c

    olon

    icge

    neex

    pre

    ssio

    n;p

    rop

    ortio

    nof

    T-ce

    llsu

    bty

    pes

    inco

    loni

    cLP

    and

    othe

    rm

    ucos

    alan

    dsy

    stem

    icim

    mun

    eco

    mp

    artm

    ents

    81

    ASF

    (8sp

    ecie

    s)(O

    ligo-

    MM

    12

    was

    also

    used

    ,but

    noho

    stp

    aram

    eter

    sw

    ere

    asse

    ssed

    )

    Mou

    seM

    ouse

    (C57

    BL/6

    )3

    (ASF

    ),5–

    23(O

    ligo-

    MM

    )N

    RBo

    thN

    RTh

    ickn

    esse

    sof

    tota

    lco

    lon

    and

    colo

    nin

    ner

    muc

    us(A

    SF);

    muc

    ustu

    rnov

    ertim

    e(A

    SF);

    alp

    hadi

    vers

    ityin

    colo

    nan

    dce

    cum

    (Olig

    o-M

    M)

    26

    (Con

    tinue

    don

    next

    pag

    e)

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    br.asm.org/

    Dow

    nloaded from

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  • TAB

    LE1

    (Con

    tinue

    d)

    Con

    sort

    ium

    (no.

    ofsp

    ecie

    sb)

    Div

    isio

    nof

    ph

    ylae

    Stra

    inso

    urce

    (s)

    Hos

    tsp

    ecie

    s(s

    trai

    n)

    Part

    ofth

    eg

    utst

    udie

    df

    No.

    ofan

    imal

    s/g

    roup

    Ch

    owSe

    xA

    ge

    (col

    lect

    ion

    tim

    e[s]

    c )St

    udy

    outc

    ome(

    s)d

    Refe

    ren

    ce

    ASF

    (8an

    d9

    spec

    ies)

    8sp

    ecie

    s:A

    SF9

    spec

    ies:

    ASF

    �O

    xalo

    bact

    erfo

    rmig

    enes

    9sp

    ecie

    s:M

    ouse

    Mou

    se(S

    W)

    4–7

    LM-4

    85au

    tocl

    avab

    lero

    dent

    diet

    ,fre

    eac

    cess

    M(n

    oge

    nder

    effe

    ctob

    serv

    ed)

    3–9

    mo

    (3–9

    mo

    �6

    wk)

    Bact

    eria

    lle

    vels

    inst

    omac

    h,ce

    cum

    ,pro

    xim

    alco

    lon,

    and

    ceca

    lm

    ucos

    a;b

    ody

    wt;

    diet

    ary

    oxal

    ate

    inta

    ke;c

    ecal

    and

    feca

    lox

    alat

    ele

    vels

    ;ur

    ine

    vol;

    urin

    ary

    met

    abol

    itele

    vels

    ;cec

    alw

    etw

    t;ce

    cal

    wat

    erm

    etab

    olite

    s

    20

    Part

    ial

    ASF

    (6sp

    ecie

    s)A

    SF35

    6,-3

    61,-

    492,

    -502

    ,-5

    19,a

    nd-5

    00(A

    SF36

    0an

    d-4

    57di

    dno

    tco

    loni

    ze)

    Mou

    seM

    ouse

    (NO

    D.M

    yD88

    KO)

    Non

    e9–

    23N

    RBo

    thN

    R(u

    pto

    30w

    k)In

    cide

    nce

    ofdi

    abet

    es;

    hist

    olog

    ical

    scor

    esof

    pan

    crea

    ticis

    let

    dest

    ruct

    ion

    18

    Part

    ial

    ASF

    (4an

    d5

    spec

    ies)

    4sp

    ecie

    s:A

    SF36

    0,A

    SF36

    1,A

    SF45

    7,A

    SF51

    95

    spec

    ies:

    4sp

    ecie

    s�

    Buty

    rivib

    riofib

    risol

    vens

    (typ

    eI,

    ATC

    C19

    171;

    typ

    eII,

    ATC

    C51

    255)

    4sp

    ecie

    s:

    5sp

    ecie

    s:

    Mou

    sean

    db

    ovin

    e

    Mou

    se(B

    ALB

    /c)

    4–5

    Aut

    ocla

    ved

    low

    -fib

    erdi

    et(5

    SRZ,

    cata

    log

    no.

    1813

    680)

    ,hig

    h-fib

    erdi

    et(5

    SVL,

    cata

    log

    no.

    1813

    901)

    ,or

    trib

    utyr

    indi

    et(5

    AVC

    ,cat

    alog

    no.1

    8149

    61)

    NR

    NR

    (2.5

    –5m

    oaf

    ter

    colo

    rect

    alca

    ncer

    indu

    ctio

    n)

    Col

    orec

    tal

    tum

    orm

    ultip

    licity

    ,tu

    mor

    size

    ,and

    tum

    orgr

    ade;

    leve

    lsof

    LDH

    A,

    lact

    ate,

    but

    yrat

    e,H

    3ac,

    and

    tota

    lH

    3in

    colo

    nic

    tissu

    ean

    dtu

    mor

    s;lu

    min

    alSC

    FAle

    vels

    ;H3a

    can

    dex

    pre

    ssio

    nle

    vels

    ofFa

    s,p

    21,a

    ndp

    27ge

    nes

    inco

    loni

    ctis

    sue

    and

    tum

    ors;

    apop

    tosi

    san

    dce

    llp

    rolif

    erat

    ion

    leve

    lsin

    colo

    nic

    tissu

    ean

    dtu

    mor

    s

    19

    Part

    ial

    ASF

    (4,5

    ,7,a

    nd7

    spec

    ies)

    4sp

    ecie

    s:A

    SF35

    6,A

    SF36

    0,A

    SF36

    1,an

    dA

    SF51

    95

    spec

    ies:

    ASF

    360,

    ASF

    361,

    ASF

    457,

    SB2

    (ASF

    502)

    ,an

    dA

    SF51

    97

    spec

    ies:

    ASF

    356,

    ASF

    360,

    ASF

    361,

    ASF

    457,

    ASF

    500,

    SB2

    (ASF

    502)

    ,an

    dA

    SF51

    97

    spec

    ies:

    4sp

    ecie

    s�

    E.co

    liM

    t1B1

    ,St

    rept

    ococ

    cus

    dani

    elia

    eER

    D01

    G,S

    taph

    yloc

    occu

    sxy

    losu

    s33

    -ERD

    13C

    (mor

    ew

    ithO

    ligo-

    MM

    [see

    bel

    ow])

    4sp

    ecie

    s:

    5sp

    ecie

    s:

    7sp

    ecie

    s:

    7sp

    ecie

    s:

    Mou

    seM

    ouse

    (C57

    BL/6

    )4–

    6N

    RBo

    th0

    or8–

    12w

    k(8

    –12

    wk

    or40

    days

    )Fe

    cal

    bac

    teria

    lco

    nten

    t;b

    acte

    rial

    load

    ofS.

    Typ

    him

    uriu

    min

    fece

    s,ce

    cum

    ,and

    MLN

    ;rel

    ativ

    ece

    cal

    wt;

    func

    tiona

    lge

    nom

    ican

    alys

    isof

    bac

    teria

    22

    (Con

    tinue

    don

    next

    pag

    e)

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    br.asm.org/

    Dow

    nloaded from

    https://mmbr.asm.orghttp://mmbr.asm.org/

  • TAB

    LE1

    (Con

    tinue

    d)

    Con

    sort

    ium

    (no.

    ofsp

    ecie

    sb)

    Div

    isio

    nof

    ph

    ylae

    Stra

    inso

    urce

    (s)

    Hos

    tsp

    ecie

    s(s

    trai

    n)

    Part

    ofth

    eg

    utst

    udie

    df

    No.

    ofan

    imal

    s/g

    roup

    Ch

    owSe

    xA

    ge

    (col

    lect

    ion

    tim

    e[s]

    c )St

    udy

    outc

    ome(

    s)d

    Refe

    ren

    ce

    Olig

    o-M

    M(1

    2,15

    ,and

    17sp

    ecie

    s)12

    spec

    ies,

    Olig

    o-M

    M:

    Acu

    talib

    acte

    rm

    uris

    KB18

    ,Fla

    voni

    frac

    tor

    plau

    tiiYL

    31,C

    lost

    ridiu

    mcl

    ostr

    idio

    form

    eYL

    32,

    Blau

    tiaco

    ccoi

    des

    YL58

    ,Cl

    ostr

    idiu

    min

    nocu

    umI4

    6,La

    ctob

    acill

    usre

    uter

    iI4

    9,En

    tero

    cocc

    usfa

    ecal

    isKB

    1,Ba

    cter

    oide

    sca

    ecim

    uris

    I48,

    Mur

    ibac

    ulum

    inte

    stin

    ale

    YL27

    ,Bifi

    doba

    cter

    ium

    long

    umsu

    bsp

    .ani

    mal

    isYL

    2,Tu

    ricim

    onas

    mur

    isYL

    45,A

    kker

    man

    sia

    muc

    inip

    hila

    YL44

    15sp

    ecie

    s:12

    spec

    ies

    �3

    facu

    ltat

    ive

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    June 2019 Volume 83 Issue 2 e00054-18 mmbr.asm.org 9

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    abol

    ites

    ofca

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    cac

    ids

    179

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    tinue

    don

    next

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    e)

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  • TAB

    LE2

    (Con

    tinue

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    n)

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    owSe

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    e(s)

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    nce

    NA

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    ,2,2

    ,3,3

    ,4,5

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    ion)

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    38

    (Con

    tinue

    don

    next

    pag

    e)

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    June 2019 Volume 83 Issue 2 e00054-18 mmbr.asm.org 12

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    http://mm

    br.asm.org/

    Dow

    nloaded from

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  • TAB

    LE2

    (Con

    tinue

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    n)

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    No.

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    NA

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    linum

    36

    (Con

    tinue

    don

    next

    pag

    e)

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    br.asm.org/

    Dow

    nloaded from

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  • TAB

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    ean

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    39

    (Con

    tinue

    don

    next

    pag

    e)

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    on April 5, 2021 by guest

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    br.asm.org/

    Dow

    nloaded from

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  • TAB

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    olle

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    spec

    ies:

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    CN

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    ion

    182

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    tinue

    don

    next

    pag

    e)

    Defined Intestinal Microbial Communities Microbiology and Molecular Biology Reviews

    June 2019 Volume 83 Issue 2 e00054-18 mmbr.asm.org 15

    on April 5, 2021 by guest

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    br.asm.org/

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  • TAB

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    45

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    Elzinga et al. Microbiology and Molecular Biology Reviews

    June 2019 Volume 83 Issue 2 e00054-18 mmbr.asm.org 16

    on April 5, 2021 by guest

    http://mm

    br.asm.org/

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  • TAB

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