INRA, UMR1347 Agroécologie, F-21000 Dijon, France.
Mol Ecol. 2012 Apr;21(7):1548-66. doi: 10.1111/j.1365-294X.2012.05479.x. Epub 2012 Feb 14.
Most adaptive traits are controlled by large number of genes that may all together be the targets of selection. Adaptation may thus involve multiple but not necessarily substantial allele frequency changes. This has important consequences for the detection of selected loci and implies that a quantitative genetics framework may be more appropriate than the classical 'selective sweep' paradigm. Preferred methods to detect loci involved in local adaptation are based on the detection of 'outlier' values of the allelic differentiation F(ST) . A quantitative genetics framework is adopted here to review theoretical expectations for how allelic differentiation at quantitative trait loci (F(STQ) ) relates to (i), neutral genetic differentiation (F(ST) ) and (ii), phenotypic differentiation (Q(ST) ). We identify cases where results of outlier-based methods are likely to be poor and where differentiation at selected loci conveys little information regarding local adaptation. A first case is when neutral differentiation is high, so that local adaptation does not necessitate increased differentiation. A second case is when local adaptation is reached via an increased covariance of allelic effects rather than via allele frequency changes, which is more likely under high gene flow when the number of loci is high and selection is recent. The comparison of theoretical predictions with observed data from the literature suggests that polygenic local adaptation involving only faint allele frequency changes are very likely in some species such as forest trees and for climate-related traits. Recent methodological improvements that may alleviate the weakness of F(ST) -based detection methods are presented.
大多数适应性特征是由大量基因控制的,这些基因可能都是选择的目标。因此,适应可能涉及多个但不一定是实质性的等位基因频率变化。这对选定基因座的检测具有重要意义,意味着数量遗传学框架可能比经典的“选择清除”范式更合适。用于检测参与局部适应的基因座的首选方法基于检测等位基因分化 F(ST)的“异常值”。采用数量遗传学框架来回顾理论预期,即数量性状基因座(F(STQ))的等位基因分化与 (i)、中性遗传分化(F(ST))和 (ii)、表型分化(Q(ST))之间的关系。我们确定了基于异常值的方法可能效果不佳的情况,以及选择基因座的分化在多大程度上提供有关局部适应的信息。第一种情况是中性分化较高,因此局部适应不一定需要增加分化。第二种情况是局部适应是通过增加等位基因效应的协方差而不是通过等位基因频率变化来实现的,当基因流较高且选择较新时,这种情况更有可能发生在许多基因座和选择的情况下。将理论预测与文献中的观察数据进行比较表明,涉及仅轻微等位基因频率变化的多基因局部适应在某些物种中非常普遍,例如森林树木和与气候相关的特征。本文还介绍了可能缓解基于 F(ST) 的检测方法弱点的最新方法改进。