Cold adaptation drives population genomic divergence in the ecological specialist, Drosophila montana
Autor: | Ralf Axel Wilhelm Wiberg, Michael G. Ritchie, Maaria Kankare, Anneli Hoikkala, Venera Tyukmaeva |
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Přispěvatelé: | NERC, University of St Andrews. Centre for Biological Diversity, University of St Andrews. Institute of Behavioural and Neural Sciences, University of St Andrews. School of Biology, University of St Andrews. St Andrews Bioinformatics Unit |
Jazyk: | angličtina |
Rok vydání: | 2020 |
Předmět: |
0301 basic medicine
0106 biological sciences Candidate gene Ecological selection QH301 Biology 01 natural sciences Genome Divergence kylmänkestävyys Chill coma recovery time CCRT D. montana muuntelu (biologia) sopeutuminen 0303 health sciences education.field_of_study GE Montana Ecology Genomics genomiikka geneettinen muuntelu Cline populations Environmental adaptation populaatiogenetiikka Drosophila GE Environmental Sciences mahlakärpäset Population QH426 Genetics Biology Cold tolerance 010603 evolutionary biology 03 medical and health sciences QH301 Genetics Animals education QH426 Ecology Evolution Behavior and Systematics CTmin 030304 developmental biology Comparative genomics Whole genome sequencing Bayes Theorem DAS 030104 developmental biology Genetics Population Genomic divergence Metagenomics Adaptation |
DOI: | 10.1101/2020.04.20.050450 |
Popis: | Funding: UK Natural Environment Research Council (Grant Number(s): NE/L501852/1, NE/P000592/1); Academy of Finland (GrantNumber(s): 267244, 268214, 322980), Ella ja Georg Ehrnroothin Säätiö. 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 fourth 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 fourth 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. Publisher PDF |
Databáze: | OpenAIRE |
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