Microbial Co-occurrence Relationships in the Human Microbiome

The healthy microbiota show remarkable variability within and among individuals. In addition to external exposures, ecological relationships (both oppositional and symbiotic) between microbial inhabitants are important contributors to this variation. It is thus of interest to assess what relationships might exist among microbes and determine their underlying reasons. The initial Human Microbiome Project (HMP) cohort, comprising 239 individuals and 18 different microbial habitats, provides an unprecedented resource to detect, catalog, and analyze such relationships. Here, we applied an ensemble method based on multiple similarity measures in combination with generalized boosted linear models (GBLMs) to taxonomic marker (16S rRNA gene) profiles of this cohort, resulting in a global network of 3,005 significant co-occurrence and co-exclusion relationships between 197 clades occurring throughout the human microbiome. This network revealed strong niche specialization, with most microbial associations occurring within body sites and a number of accompanying inter-body site relationships. Microbial communities within the oropharynx grouped into three distinct habitats, which themselves showed no direct influence on the composition of the gut microbiota. Conversely, niches such as the vagina demonstrated little to no decomposition into region-specific interactions. Diverse mechanisms underlay individual interactions, with some such as the co-exclusion of Porphyromonaceae family members and Streptococcus in the subgingival plaque supported by known biochemical dependencies. These differences varied among broad phylogenetic groups as well, with the Bacilli and Fusobacteria, for example, both enriched for exclusion of taxa from other clades. Comparing phylogenetic versus functional similarities among bacteria, we show that dominant commensal taxa (such as Prevotellaceae and Bacteroides in the gut) often compete, while potential pathogens (e.g. Treponema and Prevotella in the dental plaque) are more likely to co-occur in complementary niches. This approach thus serves to open new opportunities for future targeted mechanistic studies of the microbial ecology of the human microbiome.

[1]  Rob Knight,et al.  Supervised classification of microbiota mitigates mislabeling errors , 2011, The ISME Journal.

[2]  P. Sansonetti War and peace at mucosal surfaces , 2004, Nature Reviews Immunology.

[3]  Susan M. Huse,et al.  Defining the healthy "core microbiome" of oral microbial communities , 2009, BMC Microbiology.

[4]  R. Knight,et al.  The Effect of Diet on the Human Gut Microbiome: A Metagenomic Analysis in Humanized Gnotobiotic Mice , 2009, Science Translational Medicine.

[5]  Robert J. Palmer,et al.  Oral multispecies biofilm development and the key role of cell–cell distance , 2010, Nature Reviews Microbiology.

[6]  R. Daniel,et al.  Metagenomic Analyses: Past and Future Trends , 2010, Applied and Environmental Microbiology.

[7]  Maxwell H. Anderson,et al.  Interspecies Interactions within Oral Microbial Communities , 2007, Microbiology and Molecular Biology Reviews.

[8]  David J. Bradshaw,et al.  Role of Fusobacterium nucleatum and Coaggregation in Anaerobe Survival in Planktonic and Biofilm Oral Microbial Communities during Aeration , 1998, Infection and Immunity.

[9]  H. Shah,et al.  Prevotella, a new genus to include Bacteroides melaninogenicus and related species formerly classified in the genus Bacteroides. , 1990, International journal of systematic bacteriology.

[10]  D. Caron,et al.  Marine bacterial, archaeal and protistan association networks reveal ecological linkages , 2011, The ISME Journal.

[11]  Katherine H. Huang,et al.  Structure, Function and Diversity of the Healthy Human Microbiome , 2012, Nature.

[12]  A. Barabasi,et al.  Hierarchical Organization of Modularity in Metabolic Networks , 2002, Science.

[13]  Howard C. Tenenbaum,et al.  Bacterial biogeography of the human digestive tract , 2011, Scientific reports.

[14]  J. Ebersole,et al.  Bacteroides forsythus sp. nov., a Slow-Growing, Fusiform Bacteroides sp. from the Human Oral Cavity , 1986 .

[15]  A. Darzi,et al.  Gut microbiome-host interactions in health and disease , 2011, Genome Medicine.

[16]  B. Roe,et al.  A core gut microbiome in obese and lean twins , 2008, Nature.

[17]  R. Knight,et al.  Bacterial Community Variation in Human Body Habitats Across Space and Time , 2009, Science.

[18]  Michael Y. Galperin,et al.  The COG database: new developments in phylogenetic classification of proteins from complete genomes , 2001, Nucleic Acids Res..

[19]  Judith A. Schwartzbaum,et al.  Bacterial 16S Sequence Analysis of Severe Caries in Young Permanent Teeth , 2010, Journal of Clinical Microbiology.

[20]  V. Kingsley,et al.  Growth, structure, and classification of Selenomonas. , 1973, Bacteriological reviews.

[21]  M. Hattori,et al.  Determination of the Genome Sequence of Porphyromonas gingivalis Strain ATCC 33277 and Genomic Comparison with Strain W83 Revealed Extensive Genome Rearrangements in P. gingivalis , 2008, DNA research : an international journal for rapid publication of reports on genes and genomes.

[22]  Natalia N. Ivanova,et al.  Symbiosis insights through metagenomic analysis of a microbial consortium. , 2006, Nature Reviews Microbiology.

[23]  P. Geurts,et al.  Inferring Regulatory Networks from Expression Data Using Tree-Based Methods , 2010, PloS one.

[24]  Martin Hartmann,et al.  Introducing mothur: Open-Source, Platform-Independent, Community-Supported Software for Describing and Comparing Microbial Communities , 2009, Applied and Environmental Microbiology.

[25]  Kenneth J. Ryan,et al.  Reviews and Notes: Infectious Diseases: Sherris Medical Microbiology: An Introduction to Infectious Diseases , 1995, Annals of Internal Medicine.

[26]  R. Knight,et al.  Microbiota restoration: natural and supplemented recovery of human microbial communities , 2011, Nature Reviews Microbiology.

[27]  E. Greenberg,et al.  Intergeneric coaggregation of oral Treponema spp. with Fusobacterium spp. and intrageneric coaggregation among Fusobacterium spp , 1995, Infection and immunity.

[28]  Gerard Muyzer,et al.  A comparison of taxon co-occurrence patterns for macro- and microorganisms. , 2007, Ecology.

[29]  J. A. Aas,et al.  Design of 16S rRNA gene primers for 454 pyrosequencing of the human foregut microbiome. , 2010, World journal of gastroenterology.

[30]  Max Kuhn,et al.  Building Predictive Models in R Using the caret Package , 2008 .

[31]  Stijn van Dongen,et al.  Graph Clustering Via a Discrete Uncoupling Process , 2008, SIAM J. Matrix Anal. Appl..

[32]  Allan Konopka,et al.  What is microbial community ecology? , 2009, The ISME Journal.

[33]  Mark Gerstein,et al.  The tYNA platform for comparative interactomics: a web tool for managing, comparing and mining multiple networks , 2006, Bioinform..

[34]  P. Bühlmann Boosting for high-dimensional linear models , 2006 .

[35]  S. Čakić,et al.  Periodontal Therapy Improves Gastric Helicobacter pylori Eradication , 2009, Journal of dental research.

[36]  M. B. Saffo Coming to terms with a field: words and concepts in symbiosis , 1993 .

[37]  Patrick D. Schloss,et al.  Reducing the Effects of PCR Amplification and Sequencing Artifacts on 16S rRNA-Based Studies , 2011, PloS one.

[38]  P. Bork,et al.  Enterotypes of the human gut microbiome , 2011, Nature.

[39]  Peter Buhlmann Boosting for high-dimensional linear models , 2006, math/0606789.

[40]  E. K. Jagusztyn-Krynicka,et al.  Comparison of the localization and post-translational modification of Campylobacter coli CjaC and its homolog from Campylobacter jejuni, Cj0734c/HisJ. , 2007, Acta biochimica Polonica.

[41]  Fredrik H. Karlsson,et al.  A Closer Look at Bacteroides: Phylogenetic Relationship and Genomic Implications of a Life in the Human Gut , 2011, Microbial Ecology.

[42]  M. Dworkin,et al.  Multicellular behavior in bacteria: communication, cooperation, competition and cheating. , 2008, BioEssays : news and reviews in molecular, cellular and developmental biology.

[43]  Torsten Hothorn,et al.  Model-based Boosting 2.0 , 2010, J. Mach. Learn. Res..

[44]  R. Knight,et al.  Moving pictures of the human microbiome , 2011, Genome Biology.

[45]  Sallie W. Chisholm,et al.  Emergent Biogeography of Microbial Communities in a Model Ocean , 2007, Science.

[46]  F. Bushman,et al.  Linking Long-Term Dietary Patterns with Gut Microbial Enterotypes , 2011, Science.

[47]  B. Peter BOOSTING FOR HIGH-DIMENSIONAL LINEAR MODELS , 2006 .

[48]  Robert C. Edgar,et al.  MUSCLE: a multiple sequence alignment method with reduced time and space complexity , 2004, BMC Bioinformatics.

[49]  E. Mardis,et al.  An obesity-associated gut microbiome with increased capacity for energy harvest , 2006, Nature.

[50]  Ernest Szeto,et al.  Symbiosis insights through metagenomic analysis of a microbial consortium. , 2006, Nature Reviews Microbiology.

[51]  Mingyun Li,et al.  Bacterial interactions in dental biofilm , 2011, Virulence.

[52]  J. A. Aas,et al.  Defining the Normal Bacterial Flora of the Oral Cavity , 2005, Journal of Clinical Microbiology.

[53]  M. Newman,et al.  Finding community structure in very large networks. , 2004, Physical review. E, Statistical, nonlinear, and soft matter physics.

[54]  Maria Karlsson,et al.  Creating and characterizing communities of human gut microbes in gnotobiotic mice , 2010, The ISME Journal.

[55]  Katherine H. Huang,et al.  A framework for human microbiome research , 2012, Nature.

[56]  Wei Zhu,et al.  Investigating the biological and clinical significance of human dysbioses. , 2011, Trends in microbiology.

[57]  R. Knight,et al.  Microbial Eukaryotes in the Human Microbiome: Ecology, Evolution, and Future Directions , 2011, Front. Microbio..

[58]  Duncan J. Watts,et al.  Collective dynamics of ‘small-world’ networks , 1998, Nature.

[59]  Carey D. Nadell,et al.  Emergence of Spatial Structure in Cell Groups and the Evolution of Cooperation , 2010, PLoS Comput. Biol..

[60]  Albert,et al.  Emergence of scaling in random networks , 1999, Science.

[61]  J. Carlsson,et al.  Hydrogen peroxide excretion by oral streptococci and effect of lactoperoxidase-thiocyanate-hydrogen peroxide , 1983, Infection and immunity.

[62]  Rob Knight,et al.  UCHIME improves sensitivity and speed of chimera detection , 2011, Bioinform..

[63]  W. Z. Lidicker,et al.  A Clarification of Interactions in Ecological Systems , 1979 .

[64]  R. Tibshirani Regression Shrinkage and Selection via the Lasso , 1996 .

[65]  D. Pillai,et al.  Success of self-administered home fecal transplantation for chronic Clostridium difficile infection. , 2010, Clinical gastroenterology and hepatology : the official clinical practice journal of the American Gastroenterological Association.

[66]  Donald A. Jackson COMPOSITIONAL DATA IN COMMUNITY ECOLOGY: THE PARADIGM OR PERIL OF PROPORTIONS? , 1997 .

[67]  K. Hojo,et al.  Bacterial Interactions in Dental Biofilm Development , 2009, Journal of dental research.

[68]  J. Walter,et al.  The human gut microbiome: ecology and recent evolutionary changes. , 2011, Annual review of microbiology.

[69]  J. Neu,et al.  The developing intestinal microbiome and its relationship to health and disease in the neonate , 2011, Journal of Perinatology.

[70]  P. Gajer,et al.  Vaginal microbiome of reproductive-age women , 2010, Proceedings of the National Academy of Sciences.

[71]  Wen-Han Yu,et al.  Pyramidobacter piscolens gen. nov., sp. nov., a member of the phylum 'Synergistetes' isolated from the human oral cavity. , 2009, International journal of systematic and evolutionary microbiology.

[72]  James R. Cole,et al.  The Ribosomal Database Project: improved alignments and new tools for rRNA analysis , 2008, Nucleic Acids Res..

[73]  P. Bork,et al.  Molecular eco-systems biology: towards an understanding of community function , 2008, Nature Reviews Microbiology.

[74]  C. Marx Getting in Touch with Your Friends , 2009, Science.

[75]  Levi Waldron,et al.  Composition of the adult digestive tract bacterial microbiome based on seven mouth surfaces, tonsils, throat and stool samples , 2012, Genome Biology.

[76]  S. Quake,et al.  Dissecting biological “dark matter” with single-cell genetic analysis of rare and uncultivated TM7 microbes from the human mouth , 2007, Proceedings of the National Academy of Sciences.

[77]  Hubert Rehrauer,et al.  A global network of coexisting microbes from environmental and whole-genome sequence data. , 2010, Genome research.

[78]  S. Sarkar,et al.  The Simes Method for Multiple Hypothesis Testing with Positively Dependent Test Statistics , 1997 .

[79]  L. Moore,et al.  Coaggregation of Fusobacterium nucleatum, Selenomonas flueggei, Selenomonas infelix, Selenomonas noxia, and Selenomonas sputigena with strains from 11 genera of oral bacteria , 1989, Infection and immunity.

[80]  C. Deming,et al.  Topographical and Temporal Diversity of the Human Skin Microbiome , 2009, Science.

[81]  J. Aitchison A new approach to null correlations of proportions , 1981 .

[82]  Roded Sharan,et al.  The large-scale organization of the bacterial network of ecological co-occurrence interactions , 2010, Nucleic acids research.

[83]  D. Alland,et al.  A detailed analysis of 16S ribosomal RNA gene segments for the diagnosis of pathogenic bacteria. , 2007, Journal of microbiological methods.

[84]  Paramvir S. Dehal,et al.  FastTree 2 – Approximately Maximum-Likelihood Trees for Large Alignments , 2010, PloS one.

[85]  John Aitchison,et al.  The Statistical Analysis of Compositional Data , 1986 .

[86]  Edward M Marcotte,et al.  Discovery of uncharacterized cellular systems by genome-wide analysis of functional linkages , 2003, Nature Biotechnology.