4.8 Article

Selection on noise constrains variation in a eukaryotic promoter

Journal

NATURE
Volume 521, Issue 7552, Pages 344-+

Publisher

NATURE PORTFOLIO
DOI: 10.1038/nature14244

Keywords

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Funding

  1. March of Dimes [5-FY07-181]
  2. Alfred P. Sloan Research Foundation
  3. National Science Foundation [MCB-1021398]
  4. National Institutes of Health [1R01 GM108826]
  5. University of Michigan
  6. University of Michigan Rackham Graduate School, Ecology and Evolutionary Biology Department
  7. National Institutes of Health Genome Sciences training grant [T32 HG000040]
  8. National Institutes of Health Genetics training grant [T32 GM007544]
  9. National Institutes of Health National Research Service Award (NRSA) postdoctoral fellowship [1 F32 GM083513-0]
  10. European Molecular Biology Organization postdoctoral fellowship [EMBO ALTF 1114-2012]

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Genetic variation segregating within a species reflects the combined activities of mutation, selection, and genetic drift. In the absence of selection, polymorphisms are expected to be a randomsubset of new mutations; thus, comparing the effects of polymorphisms and new mutations provides a test for selection(1-4). When evidence of selection exists, such comparisons can identify properties of mutations that are most likely to persist in natural populations(2). Here we investigate how mutation and selection have shaped variation in a cis-regulatory sequence controlling gene expression by empirically determining the effects of polymorphisms segregating in the TDH3 promoter among 85 strains of Saccharomyces cerevisiae and comparing their effects to a distribution of mutational effects defined by 236 point mutations in the same promoter. Surprisingly, we find that selection on expression noise (that is, variability in expression among genetically identical cells(5)) appears to have had a greater impact on sequence variation in the TDH3 promoter than selection on mean expression level. This is not necessarily because variation in expression noise impacts fitness more than variation in mean expression level, but rather because of differences in the distributions of mutational effects for these two phenotypes. This study shows how systematically examining the effects of new mutations can enrich our understanding of evolutionary mechanisms. It also provides rare empirical evidence of selection acting on expression noise.

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