| Literature DB >> 27594428 |
Sandeep Venkataram1, Barbara Dunn2, Yuping Li1, Atish Agarwala3, Jessica Chang2, Emily R Ebel1, Kerry Geiler-Samerotte1, Lucas Hérissant2, Jamie R Blundell4, Sasha F Levy5, Daniel S Fisher6, Gavin Sherlock7, Dmitri A Petrov8.
Abstract
Adaptive evolution plays a large role in generating the phenotypic diversity observed in nature, yet current methods are impractical for characterizing the molecular basis and fitness effects of large numbers of individual adaptive mutations. Here, we used a DNA barcoding approach to generate the genotype-to-fitness map for adaptation-driving mutations from a Saccharomyces cerevisiae population experimentally evolved by serial transfer under limiting glucose. We isolated and measured the fitness of thousands of independent adaptive clones and sequenced the genomes of hundreds of clones. We found only two major classes of adaptive mutations: self-diploidization and mutations in the nutrient-responsive Ras/PKA and TOR/Sch9 pathways. Our large sample size and precision of measurement allowed us to determine that there are significant differences in fitness between mutations in different genes, between different paralogs, and even between different classes of mutations within the same gene.Entities:
Mesh:
Year: 2016 PMID: 27594428 PMCID: PMC5070919 DOI: 10.1016/j.cell.2016.08.002
Source DB: PubMed Journal: Cell ISSN: 0092-8674 Impact factor: 41.582