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  • 标题:Empirical measures of mutational effects define neutral models of regulatory evolution in Saccharomyces cerevisiae
  • 本地全文:下载
  • 作者:Andrea Hodgins-Davis ; Andrea Hodgins-Davis ; Fabien Duveau
  • 期刊名称:Proceedings of the National Academy of Sciences
  • 印刷版ISSN:0027-8424
  • 电子版ISSN:1091-6490
  • 出版年度:2019
  • 卷号:116
  • 期号:42
  • 页码:21085-21093
  • DOI:10.1073/pnas.1902823116
  • 出版社:The National Academy of Sciences of the United States of America
  • 摘要:Understanding how phenotypes evolve requires disentangling the effects of mutation generating new variation from the effects of selection filtering it. Tests for selection frequently assume that mutation introduces phenotypic variation symmetrically around the population mean, yet few studies have tested this assumption by deeply sampling the distributions of mutational effects for particular traits. Here, we examine distributions of mutational effects for gene expression in the budding yeast Saccharomyces cerevisiae by measuring the effects of thousands of point mutations introduced randomly throughout the genome. We find that the distributions of mutational effects differ for the 10 genes surveyed and are inconsistent with normality. For example, all 10 distributions of mutational effects included more mutations with large effects than expected for normally distributed phenotypes. In addition, some genes also showed asymmetries in their distribution of mutational effects, with new mutations more likely to increase than decrease the gene’s expression or vice versa. Neutral models of regulatory evolution that take these empirically determined distributions into account suggest that neutral processes may explain more expression variation within natural populations than currently appreciated..
  • 关键词:gene expression ; transcription ; mutation ; quantitative genetics
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