ArticleMolecular biology and evolution2019
Shared Molecular Targets Confer Resistance over Short and Long Evolutionary Timescales.
Article in Molecular biology and evolution, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
16 citing papers in PubMed, 26 citations in OpenAlex.
- Resolving translational challenges in cancer biology through yeast experimental evolution.Cancer metastasis reviews · 2026Review
- Reproductive Isolation due to Divergent Ecological Selection Is Accompanied by Vast Genomic Instability in Experimentally Evolved Yeast Populations.Molecular ecology · 2025Article
- Hybrid adaptation is hampered by Haldane's sieve.Nature communications · 2024Article
- Phenotyping of a new yeast mapping population reveals differences in the activation of the TORC1 signalling pathway between wild and domesticated yeast strains.Biological research · 2024Article
- Highly parallelized laboratory evolution of wine yeasts for enhanced metabolic phenotypes.Molecular systems biology · 2024Article
- 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
- Adaptation in Outbred Sexual Yeast is Repeatable, Polygenic and Favors Rare Haplotypes.Molecular biology and evolution · 2022Article
- Natural variants suppress mutations in hundreds of essential genes.Molecular systems biology · 2021Article
- Repeatable ecological dynamics govern the response of experimental communities to antibiotic pulse perturbation.Nature ecology & evolution · 2020Article
- Intragenic repeat expansion in the cell wall protein geneGenome research · 2020Article
- Disentangling the genetic bases of Saccharomyces cerevisiae nitrogen consumption and adaptation to low nitrogen environments in wine fermentation.Biological research · 2020Review
- Differential Gene Expression and Allele Frequency Changes Favour Adaptation of a Heterogeneous Yeast Population to Nitrogen-Limited Fermentations.Frontiers in microbiology · 2020Article
- Accurate Tracking of the Mutational Landscape of Diploid Hybrid Genomes.Molecular biology and evolution · 2019Article
- Greater genetic and regulatory plasticity of retained duplicates in Epichloë endophytic fungi.Molecular ecology · 2019Article
- The Mutator Phenotype: Adapting Microbial Evolution to Cancer Biology.Frontiers in genetics · 2019Review
Corrections and comments
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Authors and funding
11 authors at 7 institutions in 6 countries.
Funding
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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.