ArticleGenetics2015
Catch Me if You Can: Adaptation from Standing Genetic Variation to a Moving Phenotypic Optimum.
Article in Genetics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers.
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Who cites it
46 citing papers in PubMed.
- Translating functional molecular knowledge into crop-breeding success.Nature reviews. Genetics · 2026Review
- Insight Into the Genetic Architecture of Local (Mal)Adaptation in Wild and Feral Brassica rapa Populations.Molecular ecology · 2026Article
- Origins of adaptive genomic variation in a wild rodent.Communications biology · 2026Article
- Strong amplification of quantitative genetic variation under a balance between mutation and fluctuating stabilizing selection.Genetics · 2026Article
- Strong Environmental and Genome-Wide Population Differentiation Underpins Adaptation and High Genomic Vulnerability in the Dominant Australian Kelp (Ecology and evolution · 2025Article
- Evolution takes multiple paths to evolvability when facing environmental change.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Article
- Genetic admixture drives climate adaptation in the bank vole.Communications biology · 2024Article
- The distribution of fitness effects during adaptive walks using a simple genetic network.PLoS genetics · 2024Article
- Demographic feedbacks during evolutionary rescue can slow or speed adaptive evolution.Proceedings. Biological sciences · 2024Article
- Article
- Extensive variation in germline de novo mutations inGenome research · 2023Article
- Phenotypic stasis with genetic divergence.Peer community journal · 2023Article
- The Dynamics of Adaptation to Stress from Standing Genetic Variation and de novo Mutations.Molecular biology and evolution · 2022Article
- Article
- Article
- Freshwater Colonization, Adaptation, and Genomic Divergence in Threespine Stickleback.Integrative and comparative biology · 2022Article
- Standing Genetic Diversity and Transmission Bottleneck Size Drive Adaptation in Bacteriophage Qβ.International journal of molecular sciences · 2022Article
- Circadian-period variation underlies the local adaptation of photoperiodism in the short-day plantiScience · 2022Article
- Biological adaptation in light of the Lewontin-Williams (a)symmetry.Evolution; international journal of organic evolution · 2022Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Adaptation lies at the heart of Darwinian evolution. Accordingly, numerous studies have tried to provide a formal framework for the description of the adaptive process. Of these, two complementary modeling approaches have emerged: While so-called adaptive-walk models consider adaptation from the successive fixation of de novo mutations only, quantitative genetic models assume that adaptation proceeds exclusively from preexisting standing genetic variation. The latter approach, however, has focused on short-term evolution of population means and variances rather than on the statistical properties of adaptive substitutions. Our aim is to combine these two approaches by describing the ecological and genetic factors that determine the genetic basis of adaptation from standing genetic variation in terms of the effect-size distribution of individual alleles. Specifically, we consider the evolution of a quantitative trait to a gradually changing environment. By means of analytical approximations, we derive the distribution of adaptive substitutions from standing genetic variation, that is, the distribution of the phenotypic effects of those alleles from the standing variation that become fixed during adaptation. Our results are checked against individual-based simulations. We find that, compared to adaptation from de novo mutations, (i) adaptation from standing variation proceeds by the fixation of more alleles of small effect and (ii) populations that adapt from standing genetic variation can traverse larger distances in phenotype space and, thus, have a higher potential for adaptation if the rate of environmental change is fast rather than slow.
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