Structured community transitions explain the switching capacity of microbial systems

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• dc.contributor.author Long, Chengyi
• dc.contributor.author Deng, Jie
• dc.contributor.author Nguyen, Jen
• dc.contributor.author Liu, Yang-Yu
• dc.contributor.author Alm, Eric J.
• dc.contributor.author Solé Vicente, Ricard, 1962-
• dc.contributor.author Saavedra, Serguei
• dc.date.accessioned 2025-04-07T06:15:49Z
• dc.date.available 2025-04-07T06:15:49Z
• dc.date.issued 2024
• dc.description.abstract Microbial systems appear to exhibit a relatively high switching capacity of moving back and forth among few dominant communities (taxon memberships). While this switching behavior has been mainly attributed to random environmental factors, it remains unclear the extent to which internal community dynamics affect the switching capacity of microbial systems. Here, we integrate ecological theory and empirical data to demonstrate that structured community transitions increase the dependency of future communities on the current taxon membership, enhancing the switching capacity of microbial systems. Following a structuralist approach, we propose that each community is feasible within a unique domain in environmental parameter space. Then, structured transitions between any two communities can happen with probability proportional to the size of their feasibility domains and inversely proportional to their distance in environmental parameter space-which can be treated as a special case of the gravity model. We detect two broad classes of systems with structured transitions: one class where switching capacity is high across a wide range of community sizes and another class where switching capacity is high only inside a narrow size range. We corroborate our theory using temporal data of gut and oral microbiota (belonging to class 1) as well as vaginal and ocean microbiota (belonging to class 2). These results reveal that the topology of feasibility domains in environmental parameter space is a relevant property to understand the changing behavior of microbial systems. This knowledge can be potentially used to understand the relevant community size at which internal dynamics can be operating in microbial systems.
• dc.format.mimetype application/pdf
• dc.identifier.citation Long C, Deng J, Nguyen J, Liu YY, Alm EJ, Solé R, et al. Structured community transitions explain the switching capacity of microbial systems. Proc Natl Acad Sci U S A. 2024 Feb 6;121(6):e2312521121. DOI: 10.1073/pnas.2312521121
• dc.identifier.doi http://dx.doi.org/10.1073/pnas.2312521121
• dc.identifier.issn 0027-8424
• dc.identifier.uri http://hdl.handle.net/10230/70099
• dc.language.iso eng
• dc.publisher National Academy of Sciences
• dc.relation.ispartof Proc Natl Acad Sci U S A. 2024 Feb 6;121(6):e2312521121
• dc.rights Copyright © 2024 the Author(s). Published by PNAS. This article is distributed under Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND).
• dc.rights.accessRights info:eu-repo/semantics/openAccess
• dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/4.0/
• dc.subject.keyword Community dynamics
• dc.subject.keyword Feasibility
• dc.subject.keyword Information theory
• dc.subject.keyword Microbiota
• dc.subject.keyword Structuralism
• dc.title Structured community transitions explain the switching capacity of microbial systems
• dc.type info:eu-repo/semantics/article
• dc.type.version info:eu-repo/semantics/publishedVersion