Wood Zachary T, Wiegardt Andrew K, Barton Kayla L, Clark Jonathan D, Homola Jared J, Olsen Brian J, King Benjamin L, Kovach Adrienne I, Kinnison Michael T
School of Biology and Ecology University of Maine Orono ME USA.
Maine Center for Genetics in the Environment Orono ME USA.
Evol Appl. 2021 Aug 19;14(9):2189-2205. doi: 10.1111/eva.13264. eCollection 2021 Sep.
Linking genotype to phenotype is a primary goal for understanding the genomic underpinnings of evolution. However, little work has explored whether patterns of linked genomic and phenotypic differentiation are congruent across natural study systems and traits. Here, we investigate such patterns with a meta-analysis of studies examining population-level differentiation at subsets of loci and traits putatively responding to divergent selection. We show that across the 31 studies (88 natural population-level comparisons) we examined, there was a moderate ( = 0.39) relationship between genomic differentiation ( ) and phenotypic differentiation ( ) for loci and traits putatively under selection. This quantitative relationship between and for loci under selection in diverse taxa provides broad context and cross-system predictions for genomic and phenotypic adaptation by natural selection in natural populations. This context may eventually allow for more precise ideas of what constitutes "strong" differentiation, predictions about the effect size of loci, comparisons of taxa evolving in nonparallel ways, and more. On the other hand, links between and within studies were very weak, suggesting that much work remains in linking genomic differentiation to phenotypic differentiation at phenotypes. We suggest that linking genotypes to specific phenotypes can be improved by correlating genomic and phenotypic differentiation across a spectrum of diverging populations within a taxon and including wide coverage of both genomes and phenomes.
将基因型与表型联系起来是理解进化的基因组基础的首要目标。然而,很少有研究探讨在不同的自然研究系统和性状中,基因组与表型分化的相关模式是否一致。在这里,我们通过对研究进行荟萃分析来调查此类模式,这些研究考察了假定对分歧选择作出反应的部分基因座和性状的种群水平分化。我们发现,在我们研究的31项研究(88个自然种群水平的比较)中,假定受到选择的基因座和性状的基因组分化( )与表型分化( )之间存在适度( = 0.39)的关系。不同分类群中受选择基因座的 与 之间的这种定量关系,为自然种群中自然选择导致的基因组和表型适应提供了广泛的背景和跨系统预测。这种背景最终可能使人们更精确地理解什么构成“强烈”分化,预测基因座的效应大小,比较以非平行方式进化的分类群等等。另一方面,研究内部 与 之间的联系非常弱,这表明在将基因组分化与特定表型的表型分化联系起来方面仍有许多工作要做。我们建议,通过关联一个分类群内一系列不同种群的基因组和表型分化,并涵盖基因组和表型组的广泛范围,可以改进将基因型与特定表型联系起来的方法。