Price Nicholas, Lopez Lua, Platts Adrian E, Lasky Jesse R
Department of Bioagricultural Sciences & Pest Management Colorado State University Fort Collins CO USA.
Department of Biological Sciences University of Cyprus Nicosia Cyprus.
Ecol Evol. 2020 Feb 12;10(4):1889-1904. doi: 10.1002/ece3.6002. eCollection 2020 Feb.
Understanding the genomic signatures, genes, and traits underlying local adaptation of organisms to heterogeneous environments is of central importance to the field evolutionary biology. To identify loci underlying local adaptation, models that combine allelic and environmental variation while controlling for the effects of population structure have emerged as the method of choice. Despite being evaluated in simulation studies, there has not been a thorough investigation of empirical evidence supporting local adaptation across these alleles. To evaluate these methods, we use 875 Eurasian accessions and two mixed models (GEMMA and LFMM) to identify candidate SNPs underlying local adaptation to climate. Subsequently, to assess evidence of local adaptation and function among significant SNPs, we examine allele frequency differentiation and recent selection across Eurasian populations, in addition to their distribution along quantitative trait loci (QTL) explaining fitness variation between Italy and Sweden populations and cis-regulatory/nonsynonymous sites showing significant selective constraint. Our results indicate that significant LFMM/GEMMA SNPs show low allele frequency differentiation and linkage disequilibrium across locally adapted Italy and Sweden populations, in addition to a poor association with fitness QTL peaks (highest logarithm of odds score). Furthermore, when examining derived allele frequencies across the Eurasian range, we find that these SNPs are enriched in low-frequency variants that show very large climatic differentiation but low levels of linkage disequilibrium. These results suggest that their enrichment along putative functional sites most likely represents deleterious variation that is independent of local adaptation. Among all the genomic signatures examined, only SNPs showing high absolute allele frequency differentiation (AFD) and linkage disequilibrium (LD) between Italy and Sweden populations showed a strong association with fitness QTL peaks and were enriched along selectively constrained cis-regulatory/nonsynonymous sites. Using these SNPs, we find strong evidence linking flowering time, freezing tolerance, and the abscisic-acid pathway to local adaptation.
了解生物体在异质环境中局部适应的基因组特征、基因和性状,对于进化生物学领域至关重要。为了识别局部适应的基因座,在控制种群结构影响的同时结合等位基因和环境变异的模型已成为首选方法。尽管在模拟研究中对这些模型进行了评估,但尚未对支持这些等位基因局部适应的经验证据进行全面调查。为了评估这些方法,我们使用875个欧亚种质和两个混合模型(GEMMA和LFMM)来识别潜在的适应气候的候选单核苷酸多态性(SNP)。随后,为了评估显著SNP中局部适应和功能的证据,我们除了研究它们在解释意大利和瑞典种群间适应性变异的数量性状基因座(QTL)上的分布以及显示出显著选择约束的顺式调控/非同义位点外,还检查了欧亚种群间的等位基因频率分化和近期选择情况。我们的结果表明,显著的LFMM/GEMMA SNP在局部适应的意大利和瑞典种群中显示出低等位基因频率分化和连锁不平衡,此外与适应性QTL峰值(最高优势对数得分)的关联性较差。此外,当检查整个欧亚范围内的衍生等位基因频率时,我们发现这些SNP在低频变异中富集这些低频变异显示出非常大的气候差异,但连锁不平衡水平较低。这些结果表明,它们在假定功能位点上的富集很可能代表了与局部适应无关的有害变异。在所有检查的基因组特征中,只有在意大利和瑞典种群之间显示出高绝对等位基因频率分化(AFD)和连锁不平衡(LD)的SNP与适应性QTL峰值有很强的关联性,并且在选择性约束的顺式调控/非同义位点上富集。利用这些SNP,我们发现了将开花时间、抗冻性和脱落酸途径与局部适应联系起来的有力证据。