Testing for Spatially Divergent Selection: Comparing QST to FST
Testing for Spatially Divergent Selection: Comparing QST to FST
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DOI：
10.1534/genetics.108.099812
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发表时间：
2009-11-01
期刊：
影响因子：
3.3
通讯作者：
Guillaume, Frederic
中科院分区：
文献类型：
--
作者：
Whitlock, Michael C.;Guillaume, Frederic
Q（ST）是群体间数量性状遗传分化的标准化度量。中性性状的Q（ST）的分布可以从中性标记位点的F-ST预测。为了检验群体间数量性状的中性分化，有必要询问该性状的Q（ST）是否在中性性状概率分布的尾部。这种中性分布可以使用Lewontin-Krakauer分布和相对少量的标记位点来估计。我们开发了一种模拟方法来测试给定性状的Q（ST）是否与空间上选择中性的原假设一致。该方法是最强大的小平均F-ST，强选择，和大量（>10）的测量群体。新方法的功效和I类错误率远远上级传统的比较Q（ST）和F-ST的方法。
Q(ST) is a standardized measure of the genetic differentiation of a quantitative trait among Populations. The distribution of Q(ST)'s for neutral traits can be predicted from the F-ST, for neutral marker loci. To test for the neutral differentiation of a quantitative trait among populations, it is necessary to ask whether the Q(ST) of that trait is in the tail of the probability distribution of neutral traits. This neutral distribution can be estimated using the Lewontin-Krakauer distribution and the from a relatively small number of marker loci. We develop a simulation method to test whether the Q(ST) of a given trait is consistent With the null hypothesis of selective neutrality over space. The method is most powerful with small mean F-ST, strong selection, and a large number (>10) of measured Populations. The power and type I error rate of the new method are far superior to the traditional method of comparing Q(ST) and F-ST.