Correlation of pairwise genetic and geographic distance measures: Inferring the relative influences of gene flow and drift on the distribution of genetic variability
Correlation of pairwise genetic and geographic distance measures: Inferring the relative influences of gene flow and drift on the distribution of genetic variability
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DOI：
10.1111/j.1558-5646.1999.tb04571.x
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发表时间：
1999-12-01
期刊：
影响因子：
3.3
通讯作者：
Templeton, AR
中科院分区：
文献类型：
--
作者：
Hutchison, DW;Templeton, AR
试图通过Wright（1931）类似或等于1/ (4Nm + 1)的F-ST方程将区域F-ST的估计与基因流动和漂移联系起来通常是不合适的，因为大多数自然种群可能不处于平衡状态（McCauley 1993），正如该方程所基于的岛屿模型所假设的那样，或者无效，因为基因流动和漂移的影响在产品Nm中被混淆了。对遗传（F-ST）和地理距离之间的关联进行评估，可以测试区域平衡，评估区域内和区域间基因流动和漂移对种群结构的相对影响，并可视化所有地理分离程度的关联行为。利用从四个不同地理区域收集的51个东领蜥蜴种群（Crotaphytus collaris collaris）的微卫星数据对该模型进行测试，结果与基于影响漂量和基因流动的各种历史和生态因素的区域差异的预测关联模式高度一致。该模型为区域F-ST分析提供了先决条件和替代方案，区域F-ST分析通常简单地假设区域平衡，因此可能导致关于区域人口结构的错误和误导性推论。
Attempts to relate estimates of regional F-ST to gene flow and drift via Wright's (1931) equation F-ST similar or equal to 1/ (4Nm + 1) are often inappropriate because most natural sets of populations probably are not at equilibrium (McCauley 1993), as assumed by the island model upon which the equation is based, or ineffective because the influences of gene flow and drift are confounded in the product Nm. Evaluations of the association between genetic (F-ST) and geographic distances separating all pairwise populations combinations in a region allows one to test for regional equilibrium, to evaluate the relative influences of gene flow and drift on population structure both within and between regions, and to visualize the behavior of the association across all degrees of geographic separation. Tests of the model using microsatellite data from 51 populations of eastern collared lizards (Crotaphytus collaris collaris) collected from four distinct geographical regions gave results highly consistent with predicted patterns of association based on regional differences in various historical and ecological factors that affect the amount of drift and gene flow. The model provides a prerequisite for and an alternative to regional F-ST analyses, which often simply assume regional equilibrium, thus potentially leading to erroneous and misleading inferences regarding regional population structure.