ArticleProceedings of the National Academy of Sciences of the United States of America2024
Structured community transitions explain the switching capacity of microbial systems.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed, 21 citations in OpenAlex.
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- Higher-order microbial interactions revealed by comparative metabolic modeling of synthetic communities with varying species composition.ISME communications · 2025Article
- Synthetic Ecosystems: From the Test Tube to the Biosphere.ACS synthetic biology · 2024Review
- Multicellular adaptation to electrophysiological perturbations analyzed by deterministic and stochastic bioelectrical models.Scientific reports · 2024Article
- Fundamental constraints to the logic of living systems.Interface focus · 2024Review
- Modeling tumors as complex ecosystems.iScience · 2024Review
- Microbial community organization designates distinct pulmonary exacerbation types and predicts treatment outcome in cystic fibrosis.Nature communications · 2024Observational
- Modeling tumors as species-rich ecological communities.bioRxiv : the preprint server for biology · 2024Article
- Microbial community organization designates distinct pulmonary exacerbation types and predicts treatment outcome in cystic fibrosis.Research square · 2024Article
- Towards a fundamental theory of taxon transitions in microbial communities.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
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7 authors at 3 institutions in 2 countries.
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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.
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Registered trials
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.