Slatkin Montgomery
Department of Integrative Biology, University of California, Berkeley, CA, 94720, USA.
Evolution. 1993 Feb;47(1):264-279. doi: 10.1111/j.1558-5646.1993.tb01215.x.
It is shown that for allele frequency data a useful measure of the extent of gene flow between a pair of populations is M∘=(1/FST-1)/4, which is the estimated level of gene flow in an island model at equilibrium. For DNA sequence data, the same formula can be used if F is replaced by N . In a population with restricted dispersal, analytic theory shows that there is a simple relationship between M̂ and geographic distance in both equilibrium and non-equilibrium populations and that this relationship is approximately independent of mutation rate when the mutation rate is small. Simulation results show that with reasonable sample sizes, isolation by distance can indeed be detected and that, at least in some cases, non-equilibrium patterns can be distinguished. This approach to analyzing isolation by distance is used for two allozyme data sets, one from gulls and one from pocket gophers.
研究表明，对于等位基因频率数据，衡量一对种群之间基因流程度的一个有用指标是M∘=(1/FST - 1)/4，它是平衡状态下岛屿模型中基因流的估计水平。对于DNA序列数据，如果将F替换为N，则可使用相同的公式。在一个扩散受限的种群中，分析理论表明，在平衡和非平衡种群中，M̂与地理距离之间存在简单的关系，并且当突变率较小时，这种关系大致与突变率无关。模拟结果表明，在合理的样本量下，确实可以检测到距离隔离，并且至少在某些情况下，可以区分非平衡模式。这种分析距离隔离的方法被用于两个等位酶数据集，一个来自海鸥，一个来自囊鼠。
