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The ISME Journal
Article
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The ISME Journal
Article . 2018 . Peer-reviewed
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Article . 2017 . Peer-reviewed
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Article . 2017
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Multiple stable states in microbial communities explained by the stable marriage problem

Authors: Goyal, Akshit; Dubinkina, Veronika; Maslov, Sergei;

Multiple stable states in microbial communities explained by the stable marriage problem

Abstract

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 7 Bacteroides species common to the human gut utilizing 9 polysaccharides, we predict that mutual complementarity in nutrient preferences enables these species to coexist at high abundances.

Keywords

FOS: Computer and information sciences, Molecular Networks (q-bio.MN), Populations and Evolution (q-bio.PE), FOS: Physical sciences, Gastrointestinal Microbiome, Gastrointestinal Tract, Computer Science - Computer Science and Game Theory, Polysaccharides, Biological Physics (physics.bio-ph), FOS: Biological sciences, Bacteroides, Humans, Quantitative Biology - Molecular Networks, Physics - Biological Physics, Quantitative Biology - Populations and Evolution, Symbiosis, Computer Science and Game Theory (cs.GT)

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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    79
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 1%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
79
Top 1%
Top 10%
Top 10%
Green
gold