The Dynamics of Adaptation to Stress from Standing Genetic Variation and de novo Mutations. (5th November 2022)

• Record Type: Journal Article
• Authors: Ament-Velásquez, Sandra Lorena; Gilchrist, Ciaran; Rêgo, Alexandre; Bendixsen, Devin P; Brice, Claire; Grosse-Sommer, Julie Michelle; Rafati, Nima; Stelkens, Rike
• Editors: Agashe, Deepa
• Is Part Of: Molecular biology and evolution. Volume 39:Number 11(2022)
• Publication Date: 2022-11-05
• Subjects: microbial experimental evolution -- yeast -- adaptation dynamics -- environmental stress -- parallelism -- time series -- Pool-Seq; Molecular biology -- Periodicals; Molecular evolution -- Periodicals; Evolution, Molecular -- Periodicals; Molecular Biology -- Periodicals; 572.8
• DOI: 10.1093/molbev/msac242
• Languages: English
• ISSNs: 0737-4038

Abstract

Abstract: Adaptation from standing genetic variation is an important process underlying evolution in natural populations, but we rarely get the opportunity to observe the dynamics of fitness and genomic changes in real time. Here, we used experimental evolution and Pool-Seq to track the phenotypic and genomic changes of genetically diverse asexual populations of the yeast Saccharomyces cerevisiae in four environments with different fitness costs. We found that populations rapidly and in parallel increased in fitness in stressful environments. In contrast, allele frequencies showed a range of trajectories, with some populations fixing all their ancestral variation in <30 generations and others maintaining diversity across hundreds of generations. We detected parallelism at the genomic level (involving genes, pathways, and aneuploidies) within and between environments, with idiosyncratic changes recurring in the environments with higher stress. In particular, we observed a tendency of becoming haploid-like in one environment, whereas the populations of another environment showed low overall parallelism driven by standing genetic variation despite high selective pressure. This work highlights the interplay between standing genetic variation and the influx of de novo mutations in populations adapting to a range of selective pressures with different underlying trait architectures, advancing our understanding of the constraints and drivers of adaptation.