The loci of environmental adaptation in a model eukaryote

Piaopiao Chen and Jianzhi Zhang ()
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Piaopiao Chen: University of Michigan
Jianzhi Zhang: University of Michigan

Nature Communications, 2024, vol. 15, issue 1, 1-15

Abstract: Abstract While the underlying genetic changes have been uncovered in some cases of adaptive evolution, the lack of a systematic study prevents a general understanding of the genomic basis of adaptation. For example, it is unclear whether protein-coding or noncoding mutations are more important to adaptive evolution and whether adaptations to different environments are brought by genetic changes distributed in diverse genes and biological processes or concentrated in a core set. We here perform laboratory evolution of 3360 Saccharomyces cerevisiae populations in 252 environments of varying levels of stress. We find the yeast adaptations to be primarily fueled by large-effect coding mutations overrepresented in a relatively small gene set, despite prevalent antagonistic pleiotropy across environments. Populations generally adapt faster in more stressful environments, partly because of greater benefits of the same mutations in more stressful environments. These and other findings from this model eukaryote help unravel the genomic principles of environmental adaptation.

Date: 2024
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DOI: 10.1038/s41467-024-50002-y

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