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A Practical Guide to Phylogenetics for Nonexperts
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Comparing evolutionary rates for different phenotypic traits on a phylogeny using likelihood.

Dean C Adams1

  • 1Department of Ecology, Evolution, and Organismal Biology and Department of Statistics, Iowa State University, Ames, IA 50011, USA.

Systematic Biology
|October 2, 2012
PubMed
Summary
This summary is machine-generated.

This study introduces a new likelihood method to compare evolutionary rates between phenotypic traits on a phylogeny. The method offers improved statistical properties over existing approaches for macroevolutionary studies.

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Area of Science:

  • Evolutionary Biology
  • Phylogenetics
  • Quantitative Genetics

Background:

  • Likelihood-based methods are increasingly used for macroevolutionary hypotheses.
  • Comparing evolutionary rates between traits on a phylogeny is of interest but lacks a formal likelihood approach.

Purpose of the Study:

  • To propose a novel likelihood-based procedure for comparing evolutionary rates across multiple phenotypic traits within a phylogenetic framework.
  • To provide a statistically robust tool for evolutionary biologists to assess rate differences between traits.

Main Methods:

  • Developed a likelihood procedure comparing models with distinct trait-specific rates versus a common rate.
  • The method accommodates within-species measurement error and trait covariation.
  • Evaluated performance using simulations for Type I error rates and statistical power.

Main Results:

  • Simulations demonstrated appropriate Type I error rates and statistical power.
  • The likelihood method showed preferable statistical properties compared to phylogenetically independent contrasts and confidence interval comparisons.
  • Empirical example applied to Plethodon salamander traits.

Conclusions:

  • The new likelihood method enhances phylogenetic comparative biology tools.
  • It offers a more powerful approach for determining when phenotypic traits evolve at different rates.
  • This method aids in understanding macroevolutionary processes and trait evolution.