4.5 Article

Highly Parallel Genomic Selection Response in Replicated Drosophila melanogaster Populations with Reduced Genetic Variation

期刊

GENOME BIOLOGY AND EVOLUTION
卷 13, 期 11, 页码 -

出版社

OXFORD UNIV PRESS
DOI: 10.1093/gbe/evab239

关键词

experimental evolution; evolve and resequence; inbred strains; polygenic trait; parallelism; Drosophila melanogaster

资金

  1. Austrian Science Funds (FWF) [W1225, P29133]
  2. European Research Council (ERC)
  3. Austrian Science Fund (FWF) [P29133] Funding Source: Austrian Science Fund (FWF)

向作者/读者索取更多资源

This study used a modified evolve and resequence (E&R) design to investigate polygenic adaptation in fruit flies, by exposing them to a high-temperature environment. The findings suggest that the X chromosome shows a stronger selection response than autosomes, possibly due to dominance effects, and that adaptive responses were more pronounced in a two-genotype experiment compared to classic E&R studies.
Many adaptive traits are polygenic and frequently more loci contributing to the phenotype are segregating than needed to express the phenotypic optimum. Experimental evolution with replicated populations adapting to a new controlled environment provides a powerful approach to study polygenic adaptation. Because genetic redundancy often results in nonparallel selection responses among replicates, we propose a modified evolve and resequence (E&R) design that maximizes the similarity among replicates. Rather than starting from many founders, we only use two inbred Drosophila melanogaster strains and expose them to a very extreme, hot temperature environment (29 degrees C). After 20 generations, we detect many genomic regions with a strong, highly parallel selection response in 10 evolved replicates. The X chromosome has a more pronounced selection response than the autosomes, which may be attributed to dominance effects. Furthermore, we find that the median selection coefficient for all chromosomes is higher in our two-genotype experiment than in classic E&R studies. Because two random genomes harbor sufficient variation for adaptive responses, we propose that this approach is particularly well-suited for the analysis of polygenic adaptation.

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