Qst meets the G matrix:: The dimensionality of adaptive divergence in multiple correlated quantitative traits
Qst meets the G matrix:: The dimensionality of adaptive divergence in multiple correlated quantitative traits
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DOI：
10.1111/j.1558-5646.2008.00374.x
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发表时间：
2008-06-01
期刊：
影响因子：
3.3
通讯作者：
Blows, Mark. W.
中科院分区：
文献类型：
--
作者：
Chenoweth, Stephen F.;Blows, Mark. W.
Q(ST)-F-ST 比较已成为推断种群间适应性数量性状差异的越来越常见的方法。对于多个性状存在差异的情况，大多数研究通过进行多个单变量 Q(ST)-F-ST 比较来应用该方法。然而，由于性状通常具有遗传相关性，因此这种单变量分析可能会描绘出适应性分歧的简化图景。在这里，我们展示了如何使用 Q(ST) 的多元类似物 F-STq（它解释了性状之间的遗传相关性）来提供多性状差异的更详细图像。我们将该方法应用于果蝇中一系列性选择显示性状的自然发生的遗传变异。分析表明，发散性多变量选择的运作以性别特异性方式影响了遗传方差的多个独立轴。最后，我们展示了如何比较 F-STq 的组成部分，即群体遗传方差-协方差矩阵 G(W) 和 G(B) 内部和之间的平均值，可以用作中性散度零期望的附加检验，并允许调查自然群体是否沿着遗传方差的长轴或短轴出现分歧。
The Q(ST)-F-ST comparison has become an increasingly common method for inferring adaptive quantitative trait divergence among populations. For cases in which there is divergence in multiple traits, most studies have applied the method by performing multiple univariate Q(ST)-F-ST comparisons. However, because traits are often genetically correlated, such univariate analyses are likely to paint a simplified picture of adaptive divergence. Here we show how the multivariate analogue of Q(ST), F-STq, which accounts for genetic correlations among traits, can be used to supply a more detailed picture of multitrait divergence. We apply the method to naturally occurring genetic variation for a suite of sexually selected display traits in Drosophila serrata. The analyses suggest the operation of divergent multivariate selection that has influenced multiple independent axes of genetic variance in a sex-specific manner. Finally, we show how a comparison of the components of F-STq, the average within and among population genetic variance-covariance matrices, G(W) and G(B), can be used as an additional test of the null expectation of neutral divergence, and allows for an investigation of whether natural populations have diverged along major or minor axes of genetic variance.