ArticleEvolution letters2023
Experimental evidence that network topology can accelerate the spread of beneficial mutations.
Article in Evolution letters, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- Environment heterogeneity creates fast amplifiers of natural selection in graph-structured populations.Nature communications · 2026Article
- Slow spatial migration can help eradicate cooperative antimicrobial resistance in time-varying environments.PLoS computational biology · 2026Article
- Article
- Resistance variation and bacterial interactions shape adaptation of a genetically diverse pathogen population to antibiotic therapy.The ISME journal · 2026Article
- Deciphering and steering population-level response under spatial drug heterogeneity on microhabitat structures.bioRxiv : the preprint server for biology · 2025Article
- Spatial structure facilitates evolutionary rescue by drug resistance.PLoS computational biology · 2025Article
- Graph-structured populations elucidate the role of deleterious mutations in long-term evolution.Nature communications · 2025Article
- Mutant fate in spatially structured populations on graphs: Connecting models to experiments.PLoS computational biology · 2024Article
- Fixation times on directed graphs.PLoS computational biology · 2024Article
- Frequent asymmetric migrations suppress natural selection in spatially structured populations.PNAS nexus · 2023Article
- Impact of population size on early adaptation in rugged fitness landscapes.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2023Article
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Authors and funding
3 authors.
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No grant is acknowledged in the PubMed record.
Abstract
Whether and how the spatial arrangement of a population influences adaptive evolution has puzzled evolutionary biologists. Theoretical models make conflicting predictions about the probability that a beneficial mutation will become fixed in a population for certain topologies like stars, in which "leaf" populations are connected through a central "hub." To date, these predictions have not been evaluated under realistic experimental conditions. Here, we test the prediction that topology can change the dynamics of fixation both in vitro and in silico by tracking the frequency of a beneficial mutant under positive selection as it spreads through networks of different topologies. Our results provide empirical support that meta-population topology can increase the likelihood that a beneficial mutation spreads, broaden the conditions under which this phenomenon is thought to occur, and points the way toward using network topology to amplify the effects of weakly favored mutations under directed evolution in industrial applications.
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