ArticleGenetics2019
Selective Sweep at a QTL in a Randomly Fluctuating Environment.
Article in Genetics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 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
10 citing papers in PubMed, 22 citations in OpenAlex.
- Translating functional molecular knowledge into crop-breeding success.Nature reviews. Genetics · 2026Review
- The genome-wide signature of short-term temporal selection.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- A theory of oligogenic adaptation of a quantitative trait.Genetics · 2023Article
- A possible genomic footprint of polygenic adaptation on population divergence in seed beetles?Ecology and evolution · 2022Article
- Negotiating mutualism: A locus for exploitation by rhizobia has a broad effect size distribution and context-dependent effects on legume hosts.Journal of evolutionary biology · 2022Article
- From genotype to phenotype: Genetic redundancy and the maintenance of an adaptive polymorphism in the context of high gene flow.Evolution letters · 2022Article
- Frequency dependence and the predictability of evolution in a changing environment.Evolution letters · 2022Article
- Using singleton densities to detect recent selection inEvolution letters · 2021Article
- Predicting population genetic change in an autocorrelated random environment: Insights from a large automated experiment.PLoS genetics · 2021Article
- Polygenic adaptation: a unifying framework to understand positive selection.Nature reviews. Genetics · 2020Review
Corrections and comments
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Authors and funding
1 author at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Adaptation is mediated by phenotypic traits that are often near continuous, and undergo selective pressures that may change with the environment. The dynamics of allelic frequencies at underlying quantitative trait loci (QTL) depend on their own phenotypic effects, but also possibly on other polymorphic loci affecting the same trait, and on environmental change driving phenotypic selection. Most environments include a substantial component of random noise, characterized both by its magnitude and its temporal autocorrelation, which sets the timescale of environmental predictability. I investigate the dynamics of a mutation affecting a quantitative trait in an autocorrelated stochastic environment that causes random fluctuations of an optimum phenotype. The trait under selection may also exhibit background polygenic variance caused by many polymorphic loci of small effects elsewhere in the genome. In addition, the mutation at the QTL may affect phenotypic plasticity, the phenotypic response of given genotype to its environment of development or expression. Stochastic environmental fluctuations increase the variance of the evolutionary process, with consequences for the probability of a complete sweep at the QTL. Background polygenic variation critically alters this process, by setting an upper limit to stochastic variance of population genetics at the QTL. For a plasticity QTL, stochastic fluctuations also influences the expected selection coefficient, and alleles with the same expected trajectory can have very different stochastic variances. Finally, a mutation may be favored through its effect on plasticity despite causing a systematic mismatch with optimum, which is compensated by evolution of the mean background phenotype.
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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.