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DUALCOR: a phylogenetic comparative method to evaluate phylogenetic correlation between a character and a non-evolving external variable
Cladistics ( IF 3.6 ) Pub Date : 2021-01-29 , DOI: 10.1111/cla.12450
Norberto P Giannini 1, 2, 3 , Pablo A Goloboff 1, 4
Affiliation  

A new phylogenetic comparative method called DUALCOR is presented to evaluate the evolutionary response of a character to non-evolving external factors, such as environmental variables. The method treats the character as a typical evolving feature of an organism that is reconstructed on a given tree, whereas the external factor is treated as unrelated to the phylogeny. DUALCOR first calculates the correlation/regression between the observed values of the character and the external factor; then it maps the character onto the phylogeny, shuffles the changes among branches, and re-evolves the character to yield new terminal values uncorrelated with the observed values of the external factor, allowing users to examine whether the observed degree of correlation can be attained at random. This is repeated n (say, 999) times, thereby using the dual nature of characters to construct a permutation test that is shown to satisfy requirements of Generalized Monte Carlo procedures. In addition, we provide an empirical example with a reverse test where the external variable (features determined largely by non-heritable factors) is the dependent variable.

中文翻译:

DUALCOR:一种系统发育比较方法,用于评估特征与非进化外部变量之间的系统发育相关性

提出了一种称为 DUALCOR 的新系统发育比较方法来评估角色对非进化外部因素(例如环境变量)的进化响应。该方法将特征视为在给定树上重建的有机体的典型进化特征,而外部因素被视为与系统发育无关。DUALCOR 首先计算字符的观察值与外部因素之间的相关/回归;然后它将特征映射到系统发育,打乱分支之间的变化,并重新进化特征以产生与外部因素的观察值不相关的新终端值,允许用户检查观察到的相关程度是否可以达到随机的。这是重复的n(比方说,999)次,从而利用字符的对偶性质来构建一个置换检验,该检验被证明满足广义蒙特卡罗程序的要求。此外,我们提供了一个反向测试的经验示例,其中外部变量(主要由非遗传因素决定的特征)是因变量。
更新日期:2021-01-29
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