Hommola Kerstin, Smith Judith E, Qiu Yang, Gilks Walter R
Department of Statistics, School of Mathematics, University of Leeds, Leeds, United Kingdom.
Mol Biol Evol. 2009 Jul;26(7):1457-68. doi: 10.1093/molbev/msp062. Epub 2009 Mar 27.
We introduce a statistical method that explores host-parasite coevolution by testing the null hypothesis that hosts and their associated parasites evolved independently. This test is simple and intuitive and involves only suitable randomization of the observed data. It is not even necessary to construct host and parasite phylogenetic trees, as the test can be performed directly on distance matrices. Statistical power of the test was evaluated using simulated data consistent with the alternative hypothesis of cospeciation. Results were compared with the method of Mantel (1967) and the ParaFit method of Legendre et al. (2002). We observed that our method has greater power overall and thus a higher ability to detect cospeciation in closely related host-parasite systems. Our test was also successful when applied to the pocket gopher and chewing lice system.
我们介绍一种统计方法,该方法通过检验宿主与其相关寄生虫独立进化的零假设来探索宿主-寄生虫的协同进化。此检验简单直观,仅涉及对观测数据进行适当的随机化处理。甚至无需构建宿主和寄生虫的系统发育树,因为该检验可直接在距离矩阵上进行。使用与共物种形成的备择假设一致的模拟数据评估了该检验的统计功效。将结果与曼特尔(1967年)的方法以及勒让德等人(2002年)的ParaFit方法进行了比较。我们观察到,我们的方法总体上具有更大的功效,因此在检测亲缘关系密切的宿主-寄生虫系统中的共物种形成方面具有更高的能力。当应用于囊鼠和嚼虱系统时,我们的检验也取得了成功。