4.8 Article

A Population Genomic Assessment of Three Decades of Evolution in a Natural Drosophila Population

期刊

MOLECULAR BIOLOGY AND EVOLUTION
卷 39, 期 2, 页码 -

出版社

OXFORD UNIV PRESS
DOI: 10.1093/molbev/msab368

关键词

temporal population genomics; Drosophila melanogaster; insecticide resistance; adaptive evolution

资金

  1. US Department of Agriculture (USDA) Hatch [WIS01900]
  2. National Institutes of Health (NIH) [R35 GM136306, T32 GM007133]

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Population genetics aims to understand the forces shaping genetic variation by analyzing snapshots of genomic variation. Utilizing multiple sampling times to study changes in allele frequencies can help clarify the roles of neutral and non-neutral forces on short time scales. This study compares the genome sequence variations of Drosophila melanogaster samples collected at different time points and reveals a relatively small local effective population size and non-neutral variations in certain genes.
Population genetics seeks to illuminate the forces shaping genetic variation, often based on a single snapshot of genomic variation. However, utilizing multiple sampling times to study changes in allele frequencies can help clarify the relative roles of neutral and non-neutral forces on short time scales. This study compares whole-genome sequence variation of recently collected natural population samples of Drosophila melanogaster against a collection made approximately 35 years prior from the same locality-encompassing roughly 500 generations of evolution. The allele frequency changes between these time points would suggest a relatively small local effective population size on the order of 10,000, significantly smaller than the global effective population size of the species. Some loci display stronger allele frequency changes than would be expected anywhere in the genome under neutrality-most notably the tandem paralogs Cyp6a17 and Cyp6a23, which are impacted by structural variation associated with resistance to pyrethroid insecticides. We find a genome-wide excess of outliers for high genetic differentiation between old and new samples, but a larger number of adaptation targets may have affected SNP-level differentiation versus window differentiation. We also find evidence for strengthening latitudinal allele frequency clines: northern-associated alleles have increased in frequency by an average of nearly 2.5% at SNPs previously identified as clinal outliers, but no such pattern is observed at random SNPs. This project underscores the scientific potential of using multiple sampling time points to investigate how evolution operates in natural populations, by quantifying how genetic variation has changed over ecologically relevant timescales.

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