ArticleJournal of molecular evolution2008
Beneficial fitness effects are not exponential for two viruses.
Article in Journal of molecular evolution, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 61 papers.
What it found
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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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
61 citing papers in PubMed.
- Estimating the distribution of fitness effects of loss of heterozygosity (LOH) events using an engineered library of Saccharomyces cerevisiae.PLoS genetics · 2026Article
- The distribution of fitness effects during adaptive walks using a simple genetic network.PLoS genetics · 2024Article
- Changing fitness effects of mutations through long-term bacterial evolution.Science (New York, N.Y.) · 2024Article
- The effect of weak clonal interference on average fitness trajectories in the presence of macroscopic epistasis.Genetics · 2022Article
- Extreme value theory as a framework for understanding mutation frequency distribution in cancer genomes.PloS one · 2021Article
- The distribution of fitness effects among synonymous mutations in a gene under directional selection.eLife · 2019Article
- Simulations reveal challenges to artificial community selection and possible strategies for success.PLoS biology · 2019Article
- Article
- Additive Phenotypes Underlie Epistasis of Fitness Effects.Genetics · 2018Article
- Mutation-Driven Parallel Evolution during Viral Adaptation.Molecular biology and evolution · 2017Article
- Single-mutation fitness landscapes for an enzyme on multiple substrates reveal specificity is globally encoded.Nature communications · 2017Article
- Dynamics of molecular evolution in RNA virus populations depend on sudden versus gradual environmental change.Evolution; international journal of organic evolution · 2017Article
- Dynamics and Fate of Beneficial Mutations Under Lineage Contamination by Linked Deleterious Mutations.Genetics · 2017Article
- Monotonicity of fitness landscapes and mutation rate control.Journal of mathematical biology · 2016Article
- How Good Are Statistical Models at Approximating Complex Fitness Landscapes?Molecular biology and evolution · 2016Article
- The implications of small stem cell niche sizes and the distribution of fitness effects of new mutations in aging and tumorigenesis.Evolutionary applications · 2016Article
- Hierarchy and extremes in selections from pools of randomized proteins.Proceedings of the National Academy of Sciences of the United States of America · 2016Article
- Exploiting the Adaptation Dynamics to Predict the Distribution of Beneficial Fitness Effects.PloS one · 2016Article
- Can the experimental evolution programme help us elucidate the genetic basis of adaptation in nature?Molecular ecology · 2016Review
- The evolutionarily stable distribution of fitness effects.Genetics · 2015Article
1 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
The distribution of fitness effects for beneficial mutations is of paramount importance in determining the outcome of adaptation. It is generally assumed that fitness effects of beneficial mutations follow an exponential distribution, for example, in theoretical treatments of quantitative genetics, clonal interference, experimental evolution, and the adaptation of DNA sequences. This assumption has been justified by the statistical theory of extreme values, because the fitnesses conferred by beneficial mutations should represent samples from the extreme right tail of the fitness distribution. Yet in extreme value theory, there are three different limiting forms for right tails of distributions, and the exponential describes only those of distributions in the Gumbel domain of attraction. Using beneficial mutations from two viruses, we show for the first time that the Gumbel domain can be rejected in favor of a distribution with a right-truncated tail, thus providing evidence for an upper bound on fitness effects. Our data also violate the common assumption that small-effect beneficial mutations greatly outnumber those of large effect, as they are consistent with a uniform distribution of beneficial effects.
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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.