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Correlated evolution of multivariate traits: detecting co‐divergence across multiple dimensions
Author(s) -
MÁRQUEZ E. J.,
KNOWLES L. L.
Publication year - 2007
Publication title -
journal of evolutionary biology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.289
H-Index - 128
eISSN - 1420-9101
pISSN - 1010-061X
DOI - 10.1111/j.1420-9101.2007.01415.x
Subject(s) - biology , multivariate statistics , divergence (linguistics) , evolutionary biology , multivariate analysis , co occurrence , statistics , mathematics , philosophy , linguistics , computer science , artificial intelligence
Tests of correlated evolution typically treat phenotypic characters as univariate variables, even though different trait attributes may contribute to their association with other traits. In this study, patterns of character covariation among species are analysed in a multivariate framework to test for both correlated rates and directions of evolutionary change in traits forming the genitalic complex of male grasshoppers. Although the covariation structure differs among traits, and among the constituent species of two grasshopper clades, significant co‐divergence was detected among the most closely interacting genitalic traits (i.e. intromittent characters) in both clades. Co‐divergence across shape space is not accompanied by similar rates of evolution among species, although the intromittent characters tend to show accelerated evolution (relative to nonintromittent characters). Differences in the evolutionary trajectories among traits may relate to their varied roles during mating. The study emphasizes the importance of a multivariate framework for detecting macroevolutionary patterns of correlated change.