Department of Biology, Indiana University, Bloomington, United States.
School of Life Sciences, Arizona State University, Tempe, United States.
Elife. 2018 Aug 14;7:e36482. doi: 10.7554/eLife.36482.
We present a multispecies coalescent model for quantitative traits that allows for evolutionary inferences at micro- and macroevolutionary scales. A major advantage of this model is its ability to incorporate genealogical discordance underlying a quantitative trait. We show that discordance causes a decrease in the expected trait covariance between more closely related species relative to more distantly related species. If unaccounted for, this outcome can lead to an overestimation of a trait's evolutionary rate, to a decrease in its phylogenetic signal, and to errors when examining shifts in mean trait values. The number of loci controlling a quantitative trait appears to be irrelevant to all trends reported, and discordance also affected discrete, threshold traits. Our model and analyses point to the conditions under which different methods should fare better or worse, in addition to indicating current and future approaches that can mitigate the effects of discordance.
我们提出了一个用于数量性状的多物种合并模型,该模型允许在微观和宏观进化尺度上进行进化推断。该模型的一个主要优点是能够合并数量性状的潜在谱系分歧。我们表明,分歧导致亲缘关系较近的物种之间的预期性状协方差相对于亲缘关系较远的物种减少。如果不加以考虑,这种结果可能导致对性状进化率的高估,对其系统发育信号的降低,以及在检查平均性状值变化时出现错误。控制数量性状的基因座数量似乎与报告的所有趋势都无关,分歧也影响了离散的、阈性状。我们的模型和分析指出了不同方法在哪些情况下会表现得更好或更差,此外还指出了当前和未来可以减轻分歧影响的方法。