ArticleGenetics2015
The evolutionarily stable distribution of fitness effects.
Article in Genetics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
27 citing papers in PubMed.
- Recombination shapes the dynamics of selective constraint in global populations of human gut bacteria.PLoS biology · 2026Article
- The distribution of fitness effects of nonsynonymous mutations varies phylogenetically across animals.PLoS biology · 2026Article
- How far can you go? Extrapolating values of catalytic activity from known protein landscapes in natural and directed evolution.Chemical Society reviews · 2026Review
- Background selection in recombining genomes and its consequences for the maintenance of variation in complex traits.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Article
- Estimating the proportion of beneficial mutations that are not adaptive in mammals.PLoS genetics · 2024Article
- Changing fitness effects of mutations through long-term bacterial evolution.Science (New York, N.Y.) · 2024Article
- A dynamical limit to evolutionary adaptation.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Inferring the distributions of fitness effects and proportions of strongly deleterious mutations.G3 (Bethesda, Md.) · 2023Article
- A dynamical limit to evolutionary adaptation.bioRxiv : the preprint server for biology · 2023Article
- Digest: Few new mutations are recessive lethal.Evolution; international journal of organic evolution · 2023Article
- Quantifying the local adaptive landscape of a nascent bacterial community.Nature communications · 2023Article
- Evolutionary scaling of maximum growth rate with organism size.Scientific reports · 2022Article
- Two modes of evolution shape bacterial strain diversity in the mammalian gut for thousands of generations.Nature communications · 2022Article
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- Article
- The evolutionary origin of the universal distribution of mutation fitness effect.PLoS computational biology · 2021Article
- Evolutionary stalling and a limit on the power of natural selection to improve a cellular module.Proceedings of the National Academy of Sciences of the United States of America · 2020Article
- The evolutionary scaling of cellular traits imposed by the drift barrier.Proceedings of the National Academy of Sciences of the United States of America · 2020Article
- Higher-fitness yeast genotypes are less robust to deleterious mutations.Science (New York, N.Y.) · 2019Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
The distribution of fitness effects (DFE) of new mutations is a key parameter in determining the course of evolution. This fact has motivated extensive efforts to measure the DFE or to predict it from first principles. However, just as the DFE determines the course of evolution, the evolutionary process itself constrains the DFE. Here, we analyze a simple model of genome evolution in a constant environment in which natural selection drives the population toward a dynamic steady state where beneficial and deleterious substitutions balance. The distribution of fitness effects at this steady state is stable under further evolution and provides a natural null expectation for the DFE in a population that has evolved in a constant environment for a long time. We calculate how the shape of the evolutionarily stable DFE depends on the underlying population genetic parameters. We show that, in the absence of epistasis, the ratio of beneficial to deleterious mutations of a given fitness effect obeys a simple relationship independent of population genetic details. Finally, we analyze how the stable DFE changes in the presence of a simple form of diminishing-returns epistasis.
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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.