ArticleMolecular biology and evolution2014
Standing genetic variation drives repeatable experimental evolution in outcrossing populations of Saccharomyces cerevisiae.
Article in Molecular biology and evolution, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 84 papers.
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84 citing papers in PubMed, 168 citations in OpenAlex.
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- Beyond Fixation: Persistent Genetic Variation Under Intense Selection.bioRxiv : the preprint server for biology · 2026Article
- PolyAdapt: Characterizing Polygenic Adaptive Architectures in the Presence of Strong Linkage Disequilibrium.Genome biology and evolution · 2026Article
- The illusion of polygenicity in pool-seq genetic mapping studies: insufficient power can mask simple genetic architectures.Genetics · 2026Article
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- Leveraging low-cost short-read sequencing: revolutionizing complex trait genetics.Molecular biology and evolution · 2026Article
- Selection Estimation from Genetic Time-Series Data: Effects of Limited Sampling and Genetic Drift.Molecular biology and evolution · 2025Article
- Founders predict trait evolution and population performance after evolutionary rescue in the red flour beetle.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Genome-wide analyses reveal intricate genetic mechanisms underlying egg production efficiency in chickens.Journal of animal science and biotechnology · 2025Article
- Compensatory Evolution Following Deleterious Episodes of GC-biased Gene Conversion in Rodents.Molecular biology and evolution · 2025Article
- An ancient origin of the naked grains of maize.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- The dynamics of loss of heterozygosity events in genomes.EMBO reports · 2025Review
- Article
- Experimental Evolution in a Warming World: The Omics Era.Molecular biology and evolution · 2024Review
- Parallel evolution despite low genetic diversity in three-spined sticklebacks.Proceedings. Biological sciences · 2024Article
- Unraveling the Molecular Basis of Stabilizing Selection by Experimental Evolution.Genome biology and evolution · 2023Article
- Genome instability footprint under rapamycin and hydroxyurea treatments.PLoS genetics · 2023Article
- Embracing Complexity: Yeast Evolution Experiments Featuring Standing Genetic Variation.Journal of molecular evolution · 2023Review
24 more citing papers are in PubMed but not listed here.
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Authors and funding
3 authors at 2 institutions in 2 countries.
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Abstract
In "evolve-and-resequence" (E&R) experiments, whole-genome sequence data from laboratory-evolved populations can potentially uncover mechanisms of adaptive change. E&R experiments with initially isogenic, asexually reproducing microbes have repeatedly shown that beneficial de novo mutations drive adaptation, and these mutations are not shared among independently evolving replicate populations. Recent E&R experiments with higher eukaryotes that maintain genetic variation via sexual reproduction implicate largely different mechanisms; adaptation may act primarily on pre-existing genetic variation and occur in parallel among independent populations. But this is currently a debated topic, and generalizing these conclusions is problematic because E&R experiments with sexual species are difficult to implement and important elements of experimental design suffer for practical reasons. We circumvent potentially confounding limitations with a yeast model capable of shuffling genotypes via sexual recombination. Our starting population consisted of a highly intercrossed diploid Saccharomyces cerevisiae initiated from four wild haplotypes. We imposed a laboratory domestication treatment on 12 independent replicate populations for 18 weeks, where each week included 2 days as diploids in liquid culture and a forced recombination/mating event. We then sequenced pooled population samples at weeks 0, 6, 12, and 18. We show that adaptation is highly parallel among replicate populations, and can be localized to a modest number of genomic regions. We also demonstrate that despite hundreds of generations of evolution and large effective population sizes, de novo beneficial mutations do not play a large role in this adaptation. Further, we have high power to detect the signal of change in these populations but show how this power is dramatically reduced when fewer timepoints are sampled, or fewer replicate populations are analyzed. As ours is the most highly replicated and sampled E&R study in a sexual species to date, this evokes important considerations for past and future experiments.
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