Published October 15, 2021 | Version 1.0.0
Dataset Open

Highly parallel genomic selection response in replicated Drosophila melanogaster populations with reduced genetic variation

  • 1. Institut für Populationsgenetik, Vetmeduni Vienna, Vienna, Austria; Vienna Graduate School of Population Genetics, Vetmeduni Vienna, Vienna, Austria
  • 2. Institut für Populationsgenetik, Vetmeduni Vienna, Vienna, Austria,
  • 3. Plattform Bioinformatik und Biostatistik, Vetmeduni Vienna, Vienna, Austria, Wien, Austria

Description

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. Since genetic redundancy often results in non-parallel 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 melanogasterstrains and expose them to a very extreme, hot temperature environment (29°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. Since two random genomes harbor sufficient variation for adaptive responses, we propose that this approach is particularly well-suited for the analysis of polygenic adaptation.

See the README.txt file to get a description of the uploaded files. Scripts.zip contains annotated command lines and scripts for the project (see internal README.txt file).

Notes

*equal contribution. #corresponding author: Christian Schlötterer - christian.schloetterer@vetmeduni.ac.at This work was supported by the Austrian Science Funds (FWF, grant numbers W1225, P29133), and by the European Research Council (ERC) grant "ArchAdapt". Illumina sequencing was performed at the VBCF NGS Unit (www.viennabiocenter.org/facilities).

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