Longitudinal sequencing reveals polygenic and epistatic nature of genomic response to selection

• 成果类型: Article
• 署名作者: Forsberg, Simon K. G.; Melo, Diogo; Wolf, Scott W.; Grenier, Jennifer K.; Tang, Minjia; Henry, Lucas P.; Pallares, Luisa F.; Clark, Andrew G.; Ayroles, Julien F.
• 署名单位: Princeton University; Princeton University; Cornell University; Eberhard Karls University of Tubingen; Max Planck Society
• 刊物名称: PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
• ISSN/ISSBN: 0027-11461
• DOI: 10.1073/pnas.2410452122
• 发表日期: 2025-06-24
• 关键词: drosophila-melanogaster; gene interactions; EVOLUTION; adaptation; architecture; variance; traits; loci

摘要

Evolutionary adaptation to new environments likely results from a combination of selective sweeps and polygenic shifts, depending on the genetic architecture of traits under selection. While selective sweeps have been widely studied, polygenic responses are thought to be more prevalent but remain challenging to quantify. The infinitesimal model makes explicit the hypothesis about the dynamics of changes in allele frequencies under selection, where only allelic effect sizes, frequencies, linkage, and gametic disequilibrium matter. Departures from this, like long-range correlations of allele frequency changes, could be a signal of epistasis in polygenic response. We performed an Evolve & Resequence experiment in Drosophila melanogaster exposing flies to a high-sugar diet for over 100 generations. We tracked allele frequency changes in >3000 individually sequenced flies and population pools and searched for loci under selection by identifying sites with allele frequency trajectories that differentiated selection regimes consistently across replicates. We estimate that at least 4% of the genome was under positive selection, indicating a highly polygenic response. The response was dominated by small, consistent allele frequency changes, with few loci exhibiting large shifts. We then searched for signatures of selection on pairwise combinations of alleles in the new environment and found several strong signals of putative epistatic interactions across unlinked loci that were consistent across selected populations. Finally, we measured differentially expressed genes (DEGs) across treatments and show that DEGs are enriched for selected SNPs. Our results suggest that epistatic contributions to polygenic selective response are common and lead to detectable signatures.