Testing species’ deviation from allometric predictions using the phylogenetic regression
Testing species’ deviation from allometric predictions using the phylogenetic regression
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DOI：
10.1111/evo.12910
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发表时间：
2016-04
期刊：
影响因子：
3.3
通讯作者：
J. Smaers;F. Rohlf
中科院分区：
文献类型：
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作者：
J. Smaers;F. Rohlf
系统发育广义最小二乘法（PGLS）已成为最常用的系统发育比较方法之一。尽管它的普遍使用，描述和应用的方法来测试物种的偏离异速生长预测使用系统发育回归已经零碎。我们简化了以前的计算描述PGLS标准误差的方式，可以很容易地推广到更复杂的一般线性模型。我们专注于执行系统发育分析的协方差，它提供了一个直接的测试截距和斜率的平等。我们的计算描述允许测试是否个别物种，或一组物种，偏离异速生长的预测显着。使用PGLS的置信区间和预测区间和系统发育分析的协方差举例说明在灵长类动物的脑结构体积的分析。
Phylogenetic generalized least squares (PGLS) has become one of the most commonly used phylogenetic comparative methods. Despite its common use, descriptions, and applications of methods to test for species’ deviations from allometric predictions using phylogenetic regression have been piecemeal. We simplify previous computational descriptions of PGLS standard errors in a manner that can be easily generalized toward more complex general linear models. We focus on the implementation of phylogenetic analysis of covariance, which provides a direct test for the equality of intercepts and slopes. Our computational descriptions allow testing whether individual species, or a group of species, deviate significantly from allometric predictions. The use of PGLS confidence and prediction intervals and phylogenetic analysis of covariance is exemplified in an analysis of brain structure volumes in primates.