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Type of publication: Journal Article
Type of document: Full Paper

Year: 2021

Authors: Burny, C; Nolte, V; Dolezal, M; Schlötterer, C

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

Source: Genome Biol Evol. 2021; 13(11):evab239

Authors Vetmeduni Vienna:

Burny Claire Delphine
Dolezal Marlies
Nolte Viola
Schlötterer Christian

Vetmed Research Units
Institute of Population Genetics
Platform Bioinformatics and Biostatistics

Data are deposited in Zenodo | DataLink:

Project(s): ERC ADG: The architecture of adaptation

Interference of adaptive gene expression by experim. evolution

Population Genetics

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 °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.© The Author(s) 2021. Published by Oxford University Press on behalf of the Society for Molecular Biology and Evolution.

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