Examining the full effects of landscape heterogeneity on spatial genetic variation: a multiple matrix regression approach for quantifying geographic and ecological isolation

Understanding the effects of landscape heterogeneity on spatial genetic variation is a primary goal of landscape genetics. Ecological and geographic variables can contribute to genetic structure through geographic isolation, in which geographic barriers and distances restrict gene flow, and ecological isolation, in which gene flow among populations inhabiting different environments is limited by selection against dispersers moving between them. Although methods have been developed to study geographic isolation in detail, ecological isolation has received much less attention, partly because disentangling the effects of these mechanisms is inherently difficult. Here, I describe a novel approach for quantifying the effects of geographic and ecological isolation using multiple matrix regression with randomization. I explored the parameter space over which this method is effective using a series of individual-based simulations and found that it accurately describes the effects of geographic ...

解析景观异质性对空间遗传变异的影响，是景观遗传学（landscape genetics）的核心研究目标之一。生态与地理变量可通过两种途径塑造种群遗传结构：一是地理隔离（geographic isolation），即地理屏障与地理距离限制了基因流；二是生态隔离（ecological isolation），即栖息于不同环境的种群间，跨界扩散个体因选择压力而难以成功繁殖，进而限制了基因流。尽管学界已开发出多种可细致解析地理隔离的研究方法，但针对生态隔离的相关研究却相对匮乏，部分原因在于区分这两种机制的遗传效应本身极具挑战性。本研究提出一种基于随机化多重矩阵回归的新方法，用于量化地理隔离与生态隔离的遗传效应。本研究通过一系列基于个体的模拟（individual-based simulations）探索了该方法有效的参数空间，结果表明其可精准刻画地理隔离的效应……