ArticleProceedings of the National Academy of Sciences of the United States of America2012
Distribution of fixed beneficial mutations and the rate of adaptation in asexual populations.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 120 papers, 1 of them a synthesis that pooled it.
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Who cites it
120 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Interaction between mutation type and gene pleiotropy drives parallel evolution in the laboratory.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2023Pooled it
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- Toward a Functional Genetics of Adaptation: Insights From Microbial Experimental Evolution.Genome biology and evolution · 2026Review
- Module-Selection Balance in the Evolution of Modular Organisms.bioRxiv : the preprint server for biology · 2026Article
- Evolutionary dynamics under phenotypic uncertainty.bioRxiv : the preprint server for biology · 2026Article
- Putting BASIL in a BLT: A Bayesian filtering method for estimating the fitness effects of nascent adaptive mutations.PLoS computational biology · 2026Article
- Experimental evolution in an era of molecular manipulation.Nature reviews. Genetics · 2026Review
- Modeling the Synergetic Dynamics of B cells and TbioRxiv : the preprint server for biology · 2025Article
- Ecological diversification in rapidly evolving populations.bioRxiv : the preprint server for biology · 2025Article
- Mutation bias alters the distribution of fitness effects of mutations.PLoS biology · 2025Article
- History shapes regulatory and evolutionary responses to tigecycline in two reference strains ofMicrobiology (Reading, England) · 2025Article
- History shapes regulatory and evolutionary responses to tigecycline in strains ofbioRxiv : the preprint server for biology · 2025Article
- Evolution of evolvability in rapidly adapting populations.Nature ecology & evolution · 2024Article
- Predicting the first steps of evolution in randomly assembled communities.Nature communications · 2024Article
- Asynchronous abundance fluctuations can drive giant genotype frequency fluctuations.bioRxiv : the preprint server for biology · 2024Article
- Predicting the First Steps of Evolution in Randomly Assembled Communities.bioRxiv : the preprint server for biology · 2024Article
- Effects of selection stringency on the outcomes of directed evolution.bioRxiv : the preprint server for biology · 2024Article
- Lineage frequency time series reveal elevated levels of genetic drift in SARS-CoV-2 transmission in England.PLoS pathogens · 2024Article
- Constitutive expression of the Type VI Secretion System carries no measurable fitness cost inEcology and evolution · 2024Article
- Aneuploidy Can Be an Evolutionary Diversion on the Path to Adaptation.Molecular biology and evolution · 2024Article
60 more citing papers are in PubMed but not listed here.
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5 authors.
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Abstract
When large asexual populations adapt, competition between simultaneously segregating mutations slows the rate of adaptation and restricts the set of mutations that eventually fix. This phenomenon of interference arises from competition between mutations of different strengths as well as competition between mutations that arise on different fitness backgrounds. Previous work has explored each of these effects in isolation, but the way they combine to influence the dynamics of adaptation remains largely unknown. Here, we describe a theoretical model to treat both aspects of interference in large populations. We calculate the rate of adaptation and the distribution of fixed mutational effects accumulated by the population. We focus particular attention on the case when the effects of beneficial mutations are exponentially distributed, as well as on a more general class of exponential-like distributions. In both cases, we show that the rate of adaptation and the influence of genetic background on the fixation of new mutants is equivalent to an effective model with a single selection coefficient and rescaled mutation rate, and we explicitly calculate these effective parameters. We find that the effective selection coefficient exactly coincides with the most common fixed mutational effect. This equivalence leads to an intuitive picture of the relative importance of different types of interference effects, which can shift dramatically as a function of the population size, mutation rate, and the underlying distribution of fitness effects.
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