Centre for Biological Diversity, School of Biology, University of St Andrews, St Andrews, UK.
Department of Biological and Environmental Science, University of Jyväskylä, Jyväskylä, Finland.
Mol Ecol. 2021 Aug;30(15):3783-3796. doi: 10.1111/mec.16003. Epub 2021 Jun 13.
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 F . This study demonstrates that ecological selection can drive genomic divergence at different scales, from candidate genes to chromosome-wide effects.
在比较基因组学中检测生态适应的特征具有挑战性,但分析具有特征地理分布的种群样本(如渐变)可以帮助识别与重要生态变异相关的基因。在这里,我们分析了耐寒物种黑腹果蝇在表型、基因型和环境条件下的地理变异模式,并测试了种群基因组分化中冷适应的特征。我们首先得出了与两个大陆 24 个种群地理分布相关的气候变量,以追踪该物种所经历的环境变异规模,并测量了来自不同地理背景的六个种群的耐寒性变异。然后,我们对这六个种群进行了全基因组测序,并使用贝叶斯方法来识别与气候变量和种群表型测量相关的 SNP,同时控制了人口统计学和种群结构的影响。顶级候选 SNP 富集在 X 和第四染色体上,并且它们也位于与其他研究中耐寒性和该物种及其近亲种群分化相关的基因附近。我们得出的结论是,生态适应导致了 D. montana 种群在整个基因组中的分化,特别是在 X 和第四染色体上,这些染色体也表现出最高的种群间 F 。本研究表明,生态选择可以在不同的尺度上驱动基因组的分化,从候选基因到染色体范围的效应。