Multiple stable states in microbial communities explained by the stable marriage problem
Experimental studies of microbial communities routinely reveal that they have multiple stable states. While each of these states is generally resilient, certain perturbations such as antibiotics, probiotics, and diet shifts, result in transitions to other states. Can we reliably both predict such st...
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description | Experimental studies of microbial communities routinely reveal that they have multiple stable states. While each of these states is generally resilient, certain perturbations such as antibiotics, probiotics, and diet shifts, result in transitions to other states. Can we reliably both predict such stable states as well as direct and control transitions between them? Here we present a new conceptual model—inspired by the stable marriage problem in game theory and economics—in which microbial communities naturally exhibit multiple stable states, each state with a different species’ abundance profile. Our model’s core ingredient is that microbes utilize nutrients one at a time while competing with each other. Using only two ranked tables, one with microbes’ nutrient preferences and one with their competitive abilities, we can determine all possible stable states as well as predict inter-state transitions, triggered by the removal or addition of a specific nutrient or microbe. Further, using an example of seven
Bacteroides
species common to the human gut utilizing nine polysaccharides, we predict that mutual complementarity in nutrient preferences enables these species to coexist at high abundances. |
doi_str_mv | 10.1038/s41396-018-0222-x |
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Bacteroides
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Bacteroides
species common to the human gut utilizing nine polysaccharides, we predict that mutual complementarity in nutrient preferences enables these species to coexist at high abundances.</description><subject>631/158/855</subject><subject>631/326/2565/855</subject><subject>Antibiotics</subject><subject>Bacteroides - growth & development</subject><subject>Bacteroides - physiology</subject><subject>Biomedical and Life Sciences</subject><subject>Communities</subject><subject>Complementarity</subject><subject>Ecology</subject><subject>Economic models</subject><subject>Evolutionary Biology</subject><subject>Game theory</subject><subject>Gastrointestinal Microbiome</subject><subject>Gastrointestinal Tract - microbiology</subject><subject>Humans</subject><subject>Life Sciences</subject><subject>Marriage</subject><subject>Mathematical models</subject><subject>Microbial activity</subject><subject>Microbial Ecology</subject><subject>Microbial Genetics and Genomics</subject><subject>Microbiology</subject><subject>Microbiomes</subject><subject>Microorganisms</subject><subject>Nutrients</subject><subject>Polysaccharides</subject><subject>Polysaccharides - 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growth & development</topic><topic>Bacteroides - physiology</topic><topic>Biomedical and Life Sciences</topic><topic>Communities</topic><topic>Complementarity</topic><topic>Ecology</topic><topic>Economic models</topic><topic>Evolutionary Biology</topic><topic>Game theory</topic><topic>Gastrointestinal Microbiome</topic><topic>Gastrointestinal Tract - microbiology</topic><topic>Humans</topic><topic>Life Sciences</topic><topic>Marriage</topic><topic>Mathematical models</topic><topic>Microbial activity</topic><topic>Microbial Ecology</topic><topic>Microbial Genetics and Genomics</topic><topic>Microbiology</topic><topic>Microbiomes</topic><topic>Microorganisms</topic><topic>Nutrients</topic><topic>Polysaccharides</topic><topic>Polysaccharides - metabolism</topic><topic>Probiotics</topic><topic>Saccharides</topic><topic>Species</topic><topic>Symbiosis</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Goyal, Akshit</creatorcontrib><creatorcontrib>Dubinkina, Veronika</creatorcontrib><creatorcontrib>Maslov, Sergei</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Ecology Abstracts</collection><collection>Environment Abstracts</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Nucleic Acids Abstracts</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection (ProQuest)</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biological Science Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Environmental Science Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Environmental Science Collection</collection><collection>Environment Abstracts</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>The ISME Journal</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Goyal, Akshit</au><au>Dubinkina, Veronika</au><au>Maslov, Sergei</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Multiple stable states in microbial communities explained by the stable marriage problem</atitle><jtitle>The ISME Journal</jtitle><stitle>ISME J</stitle><addtitle>ISME J</addtitle><date>2018-12-01</date><risdate>2018</risdate><volume>12</volume><issue>12</issue><spage>2823</spage><epage>2834</epage><pages>2823-2834</pages><issn>1751-7362</issn><issn>1751-7370</issn><eissn>1751-7370</eissn><abstract>Experimental studies of microbial communities routinely reveal that they have multiple stable states. While each of these states is generally resilient, certain perturbations such as antibiotics, probiotics, and diet shifts, result in transitions to other states. Can we reliably both predict such stable states as well as direct and control transitions between them? Here we present a new conceptual model—inspired by the stable marriage problem in game theory and economics—in which microbial communities naturally exhibit multiple stable states, each state with a different species’ abundance profile. Our model’s core ingredient is that microbes utilize nutrients one at a time while competing with each other. Using only two ranked tables, one with microbes’ nutrient preferences and one with their competitive abilities, we can determine all possible stable states as well as predict inter-state transitions, triggered by the removal or addition of a specific nutrient or microbe. Further, using an example of seven
Bacteroides
species common to the human gut utilizing nine polysaccharides, we predict that mutual complementarity in nutrient preferences enables these species to coexist at high abundances.</abstract><cop>London</cop><pub>Nature Publishing Group UK</pub><pmid>30022156</pmid><doi>10.1038/s41396-018-0222-x</doi><tpages>12</tpages><orcidid>https://orcid.org/0000-0002-9425-8269</orcidid><orcidid>https://orcid.org/0000-0002-3701-492X</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | 631/158/855 631/326/2565/855 Antibiotics Bacteroides - growth & development Bacteroides - physiology Biomedical and Life Sciences Communities Complementarity Ecology Economic models Evolutionary Biology Game theory Gastrointestinal Microbiome Gastrointestinal Tract - microbiology Humans Life Sciences Marriage Mathematical models Microbial activity Microbial Ecology Microbial Genetics and Genomics Microbiology Microbiomes Microorganisms Nutrients Polysaccharides Polysaccharides - metabolism Probiotics Saccharides Species Symbiosis |
title | Multiple stable states in microbial communities explained by the stable marriage problem |
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