Emergence of alternative states in a synthetic human gut microbial community

Several human-associated microbial communities exist in multiple configurations and can change their composition in response to perturbations, remaining in an altered state even after the perturbation ends. Multistability has been previously proposed to explain this behavior for gut microbiota in particular, but has not been clearly demonstrated experimentally. Here, we first investigate the life history strategies of three common human gut bacteria to identify mechanisms driving alternative states. We then use this data to build and parameterize a kinetic model, which predicts that alternative states emerge due to phenotype switching between subpopulations of the same species. Perturbation experiments support these predictions, and confirm the existence of alternative states. Finally, simulations show that phenotype switching can also explain alternative states in larger communities. Thus, a transient perturbation combined with metabolic flexibility is sufficient for alternative communities to emerge.

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Publication Details

Journal
Nature Communications
Published
2025-12-01
DOI
https://doi.org/10.1038/s41467-025-67036-5
Citations
1
Primary Topic
Evolutionary Game Theory and Cooperation
Type
article
Field-Weighted Citation Impact
4.20
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Emergence of alternative states in a synthetic human gut microbial community

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Emergence of alternative states in a synthetic human gut microbial community

Kristel Bernaerts, Charlotte van de Velde, Daniel Garza, Karoline Faust, Xingjian Zhou, Didier Gonze, Kenneth Simoens, Bin Liu, Pallabita Saha
article en
1 citations

Abstract

Several human-associated microbial communities exist in multiple configurations and can change their composition in response to perturbations, remaining in an altered state even after the perturbation ends. Multistability has been previously proposed to explain this behavior for gut microbiota in particular, but has not been clearly demonstrated experimentally. Here, we first investigate the life history strategies of three common human gut bacteria to identify mechanisms driving alternative states. We then use this data to build and parameterize a kinetic model, which predicts that alternative states emerge due to phenotype switching between subpopulations of the same species. Perturbation experiments support these predictions, and confirm the existence of alternative states. Finally, simulations show that phenotype switching can also explain alternative states in larger communities. Thus, a transient perturbation combined with metabolic flexibility is sufficient for alternative communities to emerge.

Nature CommunicationsVol. 17(1)
Université Libre de Bruxelles (BE), Chinese Academy of Sciences (CN), Rega Institute for Medical Research (BE), Université Paris-Saclay (FR), Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement (FR), Research Center for Eco-Environmental Sciences (CN), KU Leuven (BE)
Openalex Percentile: Top 5%
Evolutionary Game Theory and Cooperation
4.20
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