ReviewAnnals of the New York Academy of Sciences2014
Effects of new mutations on fitness: insights from models and data.
Review in Annals of the New York Academy of Sciences, 2014. 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.
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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.
- Pyocyanin produced byAntimicrobial agents and chemotherapy · 2026Article
- How far can you go? Extrapolating values of catalytic activity from known protein landscapes in natural and directed evolution.Chemical Society reviews · 2026Review
- Causal inference clarifies the roles of background selection and mutation rate variation in shaping human genetic diversity.bioRxiv : the preprint server for biology · 2026Article
- The distribution of fitness effects of new mutations in regulatory regions of thebioRxiv : the preprint server for biology · 2026Article
- Estimating the distribution of fitness effects of loss of heterozygosity (LOH) events using an engineered library of Saccharomyces cerevisiae.PLoS genetics · 2026Article
- Selective sweep probabilities in spatially expanding populations.Nature communications · 2026Article
- The impact of non-neutral synonymous mutations when inferring selection on nonsynonymous mutations.Genetics · 2025Article
- Frequency-dependent fitness effects are ubiquitous.bioRxiv : the preprint server for biology · 2025Article
- Whole-genome duplication increases genetic diversity and load in outcrossingProceedings of the National Academy of Sciences of the United States of America · 2025Article
- Mutation bias alters the distribution of fitness effects of mutations.PLoS biology · 2025Article
- The landscape of fitness effects of putatively functional noncoding mutations in humans.bioRxiv : the preprint server for biology · 2025Article
- Article
- Reconciling theories of dominance with the relative rates of adaptive substitution on sex chromosomes and autosomes.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Effects of selection stringency on the outcomes of directed evolution.bioRxiv : the preprint server for biology · 2024Article
- Mutations in yeast are deleterious on average regardless of the degree of adaptation to the testing environment.Proceedings. Biological sciences · 2024Article
- Article
- Between but Not Within-Species Variation in the Distribution of Fitness Effects.Molecular biology and evolution · 2023Article
- Phenotype Design Space Provides a Mechanistic Framework Relating Molecular Parameters to Phenotype Diversity Available for Selection.Journal of molecular evolution · 2023Article
- The long-term effects of genomic selection: 2. Changes in allele frequencies of causal loci and new mutations.Genetics · 2023Article
- The distribution of fitness effects of plasmid pOXA-48 in clinical enterobacteria.Microbiology (Reading, England) · 2023Article
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
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The rates and properties of new mutations affecting fitness have implications for a number of outstanding questions in evolutionary biology. Obtaining estimates of mutation rates and effects has historically been challenging, and little theory has been available for predicting the distribution of fitness effects (DFE); however, there have been recent advances on both fronts. Extreme-value theory predicts the DFE of beneficial mutations in well-adapted populations, while phenotypic fitness landscape models make predictions for the DFE of all mutations as a function of the initial level of adaptation and the strength of stabilizing selection on traits underlying fitness. Direct experimental evidence confirms predictions on the DFE of beneficial mutations and favors distributions that are roughly exponential but bounded on the right. A growing number of studies infer the DFE using genomic patterns of polymorphism and divergence, recovering a wide range of DFE. Future work should be aimed at identifying factors driving the observed variation in the DFE. We emphasize the need for further theory explicitly incorporating the effects of partial pleiotropy and heterogeneity in the environment on the expected DFE.
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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.