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- W2910130790 abstract "Pre-existing and de novo genetic variants can both drive adaptation to environmental changes, but their relative contributions and interplay remain poorly understood. Here we investigated the evolutionary dynamics in drug-treated yeast populations with different levels of pre-existing variation by experimental evolution coupled with time-resolved sequencing and phenotyping. We found a doubling of pre-existing variation alone boosts the adaptation by 64.1% and 51.5% in hydroxyurea and rapamycin, respectively. The causative pre-existing and de novo variants were selected on shared targets: RNR4 in hydroxyurea and TOR1, TOR2 in rapamycin. Interestingly, the pre-existing and de novo TOR variants map to different functional domains and act via distinct mechanisms. The pre-existing TOR variants from two domesticated strains exhibited opposite rapamycin resistance effects, reflecting lineage-specific functional divergence. This study provides a dynamic view on how pre-existing and de novo variants interactively drive adaptation and deepens our understanding of clonally evolving populations." @default.
- W2910130790 created "2019-01-25" @default.
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- W2910130790 date "2019-01-17" @default.
- W2910130790 modified "2023-10-18" @default.
- W2910130790 title "Shared Molecular Targets Confer Resistance over Short and Long Evolutionary Timescales" @default.
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- W2910130790 doi "https://doi.org/10.1093/molbev/msz006" @default.
- W2910130790 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/6445301" @default.
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- W2910130790 hasPublicationYear "2019" @default.
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