Kalinowski S T, Powell J H
Department of Ecology, Montana State University, Bozeman, MT, USA.
Heredity (Edinb). 2015 Mar;114(3):249-54. doi: 10.1038/hdy.2014.93. Epub 2014 Nov 12.
Hybridization between genetically distinct taxa is a complex evolutionary process. One challenge to studying hybrid populations is quantifying the degree to which non-native genes have become evenly mixed among individuals in the population. In this paper, we present a variance-based parameter, md, that measures the degree to which non-native genes are evenly distributed among individuals in a population. The parameter has a minimum value of 0 for populations in which individuals from multiple taxa are present but have not interbred, and a maximum value of 1 for populations in which all individuals have the same amount of non-native ancestry. A recurrence equation showed that relatively few generations of random mating are required for md to approach 1 (indicating a well-mixed population), and that md is independent of initial amounts of non-native ancestry. The parameter is mathematically equivalent to FST and we show how existing formulae for FST can be used to estimate md when diagnostic loci are available. Computer simulations showed this estimator to have very little bias for realistic amounts of data.
基因不同的分类群之间的杂交是一个复杂的进化过程。研究杂交种群面临的一个挑战是量化非本地基因在种群个体中均匀混合的程度。在本文中，我们提出了一个基于方差的参数md，它衡量非本地基因在种群个体中均匀分布的程度。对于存在多个分类群个体但未杂交的种群，该参数的最小值为0；对于所有个体具有相同数量非本地祖先的种群，该参数的最大值为1。一个递推方程表明，md接近1（表明种群混合良好）所需的随机交配代数相对较少，并且md与非本地祖先的初始数量无关。该参数在数学上等同于FST，并且我们展示了在有诊断位点时，如何使用现有的FST公式来估计md。计算机模拟表明，对于实际数量的数据，该估计器的偏差非常小。
