4.8 Article

Development of a Comprehensive Genotype-to-Fitness Map of Adaptation-Driving Mutations in Yeast

期刊

CELL
卷 166, 期 6, 页码 1585-+

出版社

CELL PRESS
DOI: 10.1016/j.cell.2016.08.002

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资金

  1. NIH/NHGRI [T32 HG000044]
  2. Stanford Center for Computational, Human and Evolutionary Genomics (CEHG)
  3. NSF GFRP [DGE-1247312]
  4. NSF GRFP [DGE-114747]
  5. NIH [R01 GM110275, R01 HG003328, GM110275, R01 GM115919, GM10036601, GM097415]
  6. Stanford Bio-X Bowes Fellowship
  7. CEHG
  8. Louis and Beatrice Laufer Center
  9. NSF [PHY-1305433]
  10. NIH S10 Shared Instrument grant [RR027431]
  11. Division Of Physics
  12. Direct For Mathematical & Physical Scien [1305433] Funding Source: National Science Foundation

向作者/读者索取更多资源

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.

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