Cold adaptation drives population genomic divergence in the ecological specialist, Drosophila montana
dc.contributor.author | Wiberg, R. A. W. | |
dc.contributor.author | Tyukmaeva, V. | |
dc.contributor.author | Hoikkala, A. | |
dc.contributor.author | Ritchie, M. G. | |
dc.contributor.author | Kankare, M. | |
dc.date.accessioned | 2021-08-10T08:08:28Z | |
dc.date.available | 2021-08-10T08:08:28Z | |
dc.date.issued | 2021 | |
dc.identifier.citation | Wiberg, R. A. W., Tyukmaeva, V., Hoikkala, A., Ritchie, M. G., & Kankare, M. (2021). Cold adaptation drives population genomic divergence in the ecological specialist, Drosophila montana. <i>Molecular Ecology</i>, <i>30</i>(15), 3783-3796. <a href="https://doi.org/10.1111/mec.16003" target="_blank">https://doi.org/10.1111/mec.16003</a> | |
dc.identifier.other | CONVID_97806138 | |
dc.identifier.uri | https://jyx.jyu.fi/handle/123456789/77307 | |
dc.description.abstract | Detecting signatures of ecological adaptation in comparative genomics is challenging, but analysing population samples with characterised geographic distributions, such as clinal variation, can help identify genes showing covariation with important ecological variation. Here we analysed patterns of geographic variation in the cold-adapted species Drosophila montana across phenotypes, genotypes and environmental conditions and tested for signatures of cold adaptation in population genomic divergence. We first derived the climatic variables associated with the geographic distribution of 24 populations across two continents to trace the scale of environmental variation experienced by the species, and measured variation in the cold tolerance of the flies of six populations from different geographic contexts. We then performed pooled whole genome sequencing of these six populations, and used Bayesian methods to identify SNPs where genetic differentiation is associated with both climatic variables and the population phenotypic measurements, while controlling for effects of demography and population structure. The top candidate SNPs were enriched on the X and 4th chromosomes, and they also lay near genes implicated in other studies of cold tolerance and population divergence in this species and its close relatives. We conclude that ecological adaptation has contributed to the divergence of D. montana populations throughout the genome and in particular on the X and 4th chromosomes, which also showed highest interpopulation FST. This study demonstrates that ecological selection can drive genomic divergence at different scales, from candidate genes to chromosome-wide effects. | en |
dc.format.mimetype | application/pdf | |
dc.language.iso | eng | |
dc.publisher | Wiley | |
dc.relation.ispartofseries | Molecular Ecology | |
dc.rights | CC BY 4.0 | |
dc.subject.other | CCRT | |
dc.subject.other | cline populations | |
dc.subject.other | cold tolerance | |
dc.subject.other | CTmin | |
dc.subject.other | D. montana | |
dc.subject.other | environmental adaptation | |
dc.subject.other | genomic divergence | |
dc.title | Cold adaptation drives population genomic divergence in the ecological specialist, Drosophila montana | |
dc.type | research article | |
dc.identifier.urn | URN:NBN:fi:jyu-202108104472 | |
dc.contributor.laitos | Bio- ja ympäristötieteiden laitos | fi |
dc.contributor.laitos | Department of Biological and Environmental Science | en |
dc.contributor.oppiaine | Evoluutiotutkimus (huippuyksikkö) | fi |
dc.contributor.oppiaine | Ekologia ja evoluutiobiologia | fi |
dc.contributor.oppiaine | Centre of Excellence in Evolutionary Research | en |
dc.contributor.oppiaine | Ecology and Evolutionary Biology | en |
dc.type.uri | http://purl.org/eprint/type/JournalArticle | |
dc.type.coar | http://purl.org/coar/resource_type/c_2df8fbb1 | |
dc.description.reviewstatus | peerReviewed | |
dc.format.pagerange | 3783-3796 | |
dc.relation.issn | 0962-1083 | |
dc.relation.numberinseries | 15 | |
dc.relation.volume | 30 | |
dc.type.version | publishedVersion | |
dc.rights.copyright | © 2021 the Authors | |
dc.rights.accesslevel | openAccess | fi |
dc.type.publication | article | |
dc.relation.grantnumber | 267244 | |
dc.relation.grantnumber | 322980 | |
dc.relation.grantnumber | 268214 | |
dc.subject.yso | kylmänkestävyys | |
dc.subject.yso | geneettinen muuntelu | |
dc.subject.yso | genomiikka | |
dc.subject.yso | populaatiogenetiikka | |
dc.subject.yso | sopeutuminen | |
dc.subject.yso | muuntelu (biologia) | |
dc.subject.yso | mahlakärpäset | |
dc.format.content | fulltext | |
jyx.subject.uri | http://www.yso.fi/onto/yso/p3062 | |
jyx.subject.uri | http://www.yso.fi/onto/yso/p23916 | |
jyx.subject.uri | http://www.yso.fi/onto/yso/p5146 | |
jyx.subject.uri | http://www.yso.fi/onto/yso/p9005 | |
jyx.subject.uri | http://www.yso.fi/onto/yso/p6137 | |
jyx.subject.uri | http://www.yso.fi/onto/yso/p8280 | |
jyx.subject.uri | http://www.yso.fi/onto/yso/p12159 | |
dc.rights.url | https://creativecommons.org/licenses/by/4.0/ | |
dc.relation.doi | 10.1111/mec.16003 | |
dc.relation.funder | Research Council of Finland | en |
dc.relation.funder | Research Council of Finland | en |
dc.relation.funder | Research Council of Finland | en |
dc.relation.funder | Suomen Akatemia | fi |
dc.relation.funder | Suomen Akatemia | fi |
dc.relation.funder | Suomen Akatemia | fi |
jyx.fundingprogram | Academy Project, AoF | en |
jyx.fundingprogram | Academy Project, AoF | en |
jyx.fundingprogram | Academy Research Fellow, AoF | en |
jyx.fundingprogram | Akatemiahanke, SA | fi |
jyx.fundingprogram | Akatemiahanke, SA | fi |
jyx.fundingprogram | Akatemiatutkija, SA | fi |
jyx.fundinginformation | This work was supported by a combined Natural Environment Research Council and St Andrews 600th Anniversary PhD Studentship grant (NE/L501852/1) to RAWW, The Ella and Georg Ehrnrooth Fellowship to VT, NERC grant (NE/P000592/1) to MGR, and Academy of Finland project 267244 to AH and projects 268214 and 322980 to MK. Bioinformatics and Computational Biology analyses were supported by the University of St Andrews Bioinformatics Unit which is funded by a Wellcome Trust ISSF award (grant 105621/Z/14/Z). | |
dc.type.okm | A1 |