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 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.
Highlights
The geographic structure of a species is a result of its phylogeographic history, influenced by past and present dispersal, population demography, and selection
If population differentiation is driven by ecological selection we would predict the extreme cold adaptation of D. montana to have left a signature of genomic divergence associated with environmental and phenotypic differentiation across these loci
Our results found no significant correlation in critical thermal minimum (CTmin) and coma recovery time (CCRT) across populations
Summary
The geographic structure of a species is a result of its phylogeographic history, influenced by past and present dispersal, population demography, and selection. Some genome scan methods can incorporate environmental variation and simultaneously fit effects for covariance with environmental factors, while controlling for effects of population demography (Foll & Gaggiotti, 2008; de Villemereuil & Gaggiotti, 2015) This approach has successfully identified genetic variation associated with altitude in humans, among other examples (Foll et al, 2014; Gautier, 2015; de Villemereuil & Gaggiotti, 2015) and has become a useful approach to investigate the ecological adaptations underlying population divergence. Population genomic analyses have identified several outlier loci when examining differentiation between North American and European populations (Parker et al, 2018) All this makes D. montana an interesting example of nascent speciation, potentially influenced by ecological adaptation. If population differentiation is driven by ecological selection we would predict the extreme cold adaptation of D. montana to have left a signature of genomic divergence associated with environmental and phenotypic differentiation across these loci
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