Institut de Recherche pour le Développement, ISEM UMR 226/5554-UM2/CNRS/IRD, Jl. Taman Kemang 32B, Jakarta, Indonesia 12730.
Evolution. 2012 Jan;66(1):288-95. doi: 10.1111/j.1558-5646.2011.01429.x. Epub 2011 Sep 20.
Tests of shift in diversification associated with key innovations or directional environmental change can be performed with sister-clade comparisons. This approach is attractive because it does not require detailed phylogenetic information. I propose a new likelihood ratio test based on fitting two models of diversification. I show how this test differs from a previous likelihood ratio test based on the geometric distribution. With simulations from a wide range of situations, I show that the new test performs much better than this test and the traditional test by Slowinski and Guyer. The proposed test performs at least as well as the species richness contrast test that has been proposed by several authors in four versions. A power analysis with low number of pairs of sister clades showed that the new test could detect a shift in diversification with five or less pairs of sister clades, whereas the diversity contrast test cannot detect any shift in this situation. The former appears as more powerful than the latter, and therefore is recommended when the number of pairs of sister clades is low (less than 10). All other tests should not be used as the present study showed they lack statistical power and robustness.
可以通过姐妹群(clade)比较来检验与关键创新或定向环境变化相关的多样化转移测试。这种方法很有吸引力,因为它不需要详细的系统发育信息。我提出了一种新的似然比检验,该检验基于两种多样化模型的拟合。我展示了该检验如何与基于几何分布的先前似然比检验不同。通过对广泛的情况进行模拟,我表明新检验比以前的基于慢斯基和盖尔的似然比检验以及传统的检验要好得多。该检验在四个版本中至少与几位作者提出的物种丰富度对比检验一样有效。在低数量的姐妹群对的情况下进行的功效分析表明,新检验可以检测到五个或更少的姐妹群对的多样化转移,而多样性对比检验在这种情况下则无法检测到任何转移。前者似乎比后者更强大,因此当姐妹群对的数量较低(少于 10 对)时,建议使用前者。本研究表明,目前所有其他检验都缺乏统计功效和稳健性,因此不应使用这些检验。