ArticleNature communications2024
Predicting the first steps of evolution in randomly assembled communities.
Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Low initial metabolite production enhances stability in syntrophic bacterial consortia.Communications biology · 2026Article
- Emergent frequency-dependent selection predicts mutation outcomes in complex ecological communities.bioRxiv : the preprint server for biology · 2026Article
- A Concept Using α-Niche Evolution Within Bacterial Communities to Direct β-Niche Evolution of Focal Species.Environmental microbiology · 2026Article
- A theory of ecological invasions and its implications for eco-evolutionary dynamics.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Community coalescence reveals strong selection and coexistence within species in complex microbial communities.bioRxiv : the preprint server for biology · 2025Article
- Ecological diversification in rapidly evolving populations.bioRxiv : the preprint server for biology · 2025Article
- A theory of ecological invasions and its implications for eco-evolutionary dynamics.bioRxiv : the preprint server for biology · 2025Article
- Article
- Competition for resources can reshape the evolutionary properties of spatial structure.PLoS computational biology · 2024Article
- Predicting the first steps of evolution in randomly assembled communities.Nature communications · 2024Article
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Abstract
Microbial communities can self-assemble into highly diverse states with predictable statistical properties. However, these initial states can be disrupted by rapid evolution of the resident strains. When a new mutation arises, it competes for resources with its parent strain and with the other species in the community. This interplay between ecology and evolution is difficult to capture with existing community assembly theory. Here, we introduce a mathematical framework for predicting the first steps of evolution in large randomly assembled communities that compete for substitutable resources. We show how the fitness effects of new mutations and the probability that they coexist with their parent depends on the size of the community, the saturation of its niches, and the metabolic overlap between its members. We find that successful mutations are often able to coexist with their parent strains, even in saturated communities with low niche availability. At the same time, these invading mutants often cause extinctions of metabolically distant species. Our results suggest that even small amounts of evolution can produce distinct genetic signatures in natural microbial communities.
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