Evidence map›Paper›PMID 41326405›Full record

ArticleNature communications2025

Emergence of alternative states in a synthetic human gut microbial community.

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

Abstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Daniel Rios Garza *Department of Microbiology, Immunology and Transplantation, Rega Institute for Medical Research, Laboratory of Molecular Bacteriology, KU Leuven, Leuven, Belgium. danielriosgarza@gmail.com.ORCID http://orcid.org/0000-0003-3865-2146
Bin Liu *Department of Microbiology, Immunology and Transplantation, Rega Institute for Medical Research, Laboratory of Molecular Bacteriology, KU Leuven, Leuven, Belgium.
Charlotte van de Velde *Department of Microbiology, Immunology and Transplantation, Rega Institute for Medical Research, Laboratory of Molecular Bacteriology, KU Leuven, Leuven, Belgium.
Xingjian ZhouDepartment of Microbiology, Immunology and Transplantation, Rega Institute for Medical Research, Laboratory of Molecular Bacteriology, KU Leuven, Leuven, Belgium.ORCID http://orcid.org/0009-0000-3395-1097
Pallabita SahaDepartment of Microbiology, Immunology and Transplantation, Rega Institute for Medical Research, Laboratory of Molecular Bacteriology, KU Leuven, Leuven, Belgium.ORCID http://orcid.org/0009-0001-4344-9575
Didier GonzeUnité de Chronobiologie Théorique, Faculté des Sciences, Université Libre de Bruxelles, Bruxelles, Belgium.
Kenneth SimoensDepartment of Chemical Engineering, Chemical and Biochemical Reactor Engineering and Safety (CREaS), KU Leuven, Leuven, Belgium.ORCID http://orcid.org/0000-0002-7967-4213
Kristel BernaertsDepartment of Chemical Engineering, Chemical and Biochemical Reactor Engineering and Safety (CREaS), KU Leuven, Leuven, Belgium.ORCID http://orcid.org/0000-0001-6211-7042
Karoline FaustDepartment of Microbiology, Immunology and Transplantation, Rega Institute for Medical Research, Laboratory of Molecular Bacteriology, KU Leuven, Leuven, Belgium. karoline.faust@kuleuven.be.ORCID http://orcid.org/0000-0001-7129-2803

Funding

EC | Horizon 2020 Framework Programme (EU Framework Programme for Research and Innovation H2020) 801747Fonds Wetenschappelijk Onderzoek (Research Foundation Flanders) G046721NFonds Wetenschappelijk Onderzoek (Research Foundation Flanders) G0I0918N
6 · The paper itself

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.

Indexed as

BacteriaGastrointestinal MicrobiomeComputer SimulationHumansKineticsModels, BiologicalPhenotype

Identifiers

PMID41326405
PMCPMC12789478

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.