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Assessing trait covariation and morphological integration on phylogenies using evolutionary covariance matrices
1Department of Ecology, Evolution, and Organismal Biology, Iowa State University, Ames, Iowa, United States of America.
Plos One
|April 15, 2014
Summary
This study introduces a new method to analyze how organismal traits covary across species, accounting for evolutionary history. The approach effectively detects morphological integration in phylogenetic contexts, as demonstrated in Plethodon salamanders.
Area of Science:
- Evolutionary biology
- Comparative anatomy
- Macroevolutionary studies
Background:
- Morphological integration describes how organismal traits covary.
- Analyzing trait covariation at the macroevolutionary level requires accounting for phylogeny.
- Existing methods like phylogenetic independent contrasts have limitations.
Purpose of the Study:
- To outline a new analytical procedure for evaluating morphological integration across species while considering phylogenetic relationships.
- To provide a flexible and robust complement to existing phylogenetic comparative methods.
- To test hypotheses of morphological integration within a macroevolutionary framework.
Main Methods:
- Development of an analytical procedure based on the evolutionary covariance matrix.
- Utilizing computer simulations under a Brownian motion model to assess statistical properties.
- Application of the method to analyze head shape integration in Plethodon salamanders.
Main Results:
- Statistical tests based on the evolutionary covariance matrix show appropriate Type I error rates and high statistical power.
- Simulation results remain consistent across varying numbers of species and trait dimensions.
- Significant integration was found between cranial shape and mandible shape in Plethodon salamanders.
Conclusions:
- The proposed procedure offers a robust method for testing hypotheses of morphological integration in a phylogenetic context.
- The approach is a valuable complement to phylogenetic independent contrasts.
- The study provides R code for implementing the procedure, facilitating its use in future research.
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