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dc.contributor.authorBarata, Carolina
dc.contributor.authorSnook, Rhonda R
dc.contributor.authorRitchie, Michael G
dc.contributor.authorKosiol, Carolin
dc.date.accessioned2023-07-06T11:30:03Z
dc.date.available2023-07-06T11:30:03Z
dc.date.issued2023-07-04
dc.identifier290046739
dc.identifier103a2b8c-0a60-4af2-88fe-b2d2c9e0c041
dc.identifier37341535
dc.identifier85164246128
dc.identifier.citationBarata , C , Snook , R R , Ritchie , M G & Kosiol , C 2023 , ' Selection on the fly : short-term adaptation to an altered sexual selection regime in Drosophila pseudoobscura ' , Genome Biology and Evolution , vol. 15 , no. 7 , evad113 . https://doi.org/10.1093/gbe/evad113en
dc.identifier.issn1759-6653
dc.identifier.otherRIS: urn:0D5DAA88EE65D8B00E336A7F5E1BA4EA
dc.identifier.otherORCID: /0000-0001-7913-8675/work/138327337
dc.identifier.urihttps://hdl.handle.net/10023/27902
dc.descriptionFunding: This work was supported by the Vienna Science and Technology Fund (WWTF) (10.47379/MA16061). C.K. received funding from the Royal Society (RG170315) and the Carnegie Trust (RIG007474). M.G.R. and R.R.S. have been supported by NERC (UK) grants NE/I014632/1 and NE/V001566/1. Bioinformatics analyses were performed on the computer cluster at the University of St Andrews Bioinformatics Unit, which is funded by Wellcome Trust ISSF awards 105621/Z/14/Z. Complementary data parsing was carried out with the computational resources provided by the Research/Scientific Computing teams at The James Hutton Institute and the National Institute of Agricultural Botany (NIAB)—UK’s Crop Diversity Bioinformatics HPC, BBSRC grant BB/S019669/1.en
dc.description.abstractExperimental evolution studies are powerful approaches to examine the evolutionary history of lab populations. Such studies have shed light on how selection changes phenotypes and genotypes. Most of these studies have not examined the time course of adaptation under sexual selection manipulation, by resequencing the populations’ genomes at multiple time points. Here, we analyze allele frequency trajectories in Drosophila pseudoobscura where we altered their sexual selection regime for 200 generations and sequenced pooled populations at 5 time points. The intensity of sexual selection was either relaxed in monogamous populations (M) or elevated in polyandrous lines (E). We present a comprehensive study of how selection alters population genetics parameters at the chromosome and gene level. We investigate differences in the effective population size—Ne—between the treatments, and perform a genome-wide scan to identify signatures of selection from the time-series data. We found genomic signatures of adaptation to both regimes in D. pseudoobscura. There are more significant variants in E lines as expected from stronger sexual selection. However, we found that the response on the X chromosome was substantial in both treatments, more pronounced in E and restricted to the more recently sex-linked chromosome arm XR in M. In the first generations of experimental evolution, we estimate Ne to be lower on the X in E lines, which might indicate a swift adaptive response at the onset of selection. Additionally, the third chromosome was affected by elevated polyandry whereby its distal end harbors a region showing a strong signal of adaptive evolution especially in E lines.
dc.format.extent18
dc.format.extent2383092
dc.language.isoeng
dc.relation.ispartofGenome Biology and Evolutionen
dc.subjectGenomicsen
dc.subjectSexual selectionen
dc.subjectExperimental evolutionen
dc.subjectTime seriesen
dc.subjectPooled sequencingen
dc.subjectQH426 Geneticsen
dc.subjectDASen
dc.subjectMCCen
dc.subject.lccQH426en
dc.titleSelection on the fly : short-term adaptation to an altered sexual selection regime in Drosophila pseudoobscuraen
dc.typeJournal articleen
dc.contributor.sponsorThe Royal Societyen
dc.contributor.sponsorCarnegie Trusten
dc.contributor.sponsorNERCen
dc.contributor.sponsorNERCen
dc.contributor.sponsorThe Wellcome Trusten
dc.contributor.institutionUniversity of St Andrews. University of St Andrewsen
dc.contributor.institutionUniversity of St Andrews. School of Biologyen
dc.contributor.institutionUniversity of St Andrews. Centre for Biological Diversityen
dc.contributor.institutionUniversity of St Andrews. Institute of Behavioural and Neural Sciencesen
dc.contributor.institutionUniversity of St Andrews. St Andrews Bioinformatics Uniten
dc.identifier.doi10.1093/gbe/evad113
dc.description.statusPeer revieweden
dc.identifier.grantnumberRG170315en
dc.identifier.grantnumberRIG007474en
dc.identifier.grantnumberNE/I014632/1en
dc.identifier.grantnumberNE/V001566/1en
dc.identifier.grantnumber105621/Z/14/Zen


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