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随机树与比较方法:一则警示故事

RANDOM TREES AND THE COMPARATIVE METHOD: A CAUTIONARY TALE.

作者信息

Abouheif Ehab

机构信息

Department of Ecology and Evolution, State University of New York at Stony Brook, Stony Brook, New York, 11794-5245.

出版信息

Evolution. 1998 Aug;52(4):1197-1204. doi: 10.1111/j.1558-5646.1998.tb01845.x.

Abstract

One of the toughest problems facing comparative biology is the paucity of robust phylogenetic hypotheses for many taxonomic groups. Martins (1996) proposed a method to analyze comparative data in the absence of a known phylogeny using randomly generated trees. Before applying this method, however, researchers should be aware that (1) parameter estimates derived from this method essentially assume a star phylogeny, and thus, estimate the same evolutionary regression or correlation coefficient as traditional cross-species analyses; and (2) statistical conclusions derived from this method may be so conservative as to mask evolutionary patterns, such as Rensch's rule, and should be interpreted with caution.

摘要

比较生物学面临的最棘手问题之一是,许多分类群缺乏可靠的系统发育假说。马丁斯(1996年)提出了一种方法,可在没有已知系统发育关系的情况下,使用随机生成的树来分析比较数据。然而,在应用此方法之前,研究人员应意识到:(1)从此方法得出的参数估计本质上假设为星状系统发育,因此,与传统的跨物种分析估计相同的进化回归或相关系数;(2)从此方法得出的统计结论可能过于保守,以至于掩盖了进化模式,如伦施法则,应谨慎解释。

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