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Evolutionary Rates Standardized for Evolutionary Space: Perspectives on Trait Evolution.

Gregor Rolshausen1, T Jonathan Davies2, Andrew P Hendry3

  • 1Senckenberg Biodiversity and Climate Research Centre (SBiK-F), Senckenberganlage 25, 60325 Frankfurt am Main, Germany.

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|May 5, 2018
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Summary
This summary is machine-generated.

Trait space saturation offers a novel method to understand evolutionary radiations. This approach helps differentiate evolutionary models when traditional comparative methods fail, improving our understanding of trait evolution.

Keywords:
comparative methoddisparificationevolutionary radiationsevolutionary ratestrait space

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Area of Science:

  • Evolutionary biology
  • Phylogenetics
  • Quantitative genetics

Background:

  • Understanding evolutionary radiations requires analyzing temporal patterns of trait diversification.
  • Comparative methods assess trait distributions against phylogenetic hypotheses using evolutionary models.
  • Differentiating between evolutionary models can be challenging due to varying modes of trait evolution.

Purpose of the Study:

  • To introduce and evaluate 'trait space saturation' as a novel metric for distinguishing between modes of trait evolution.
  • To assess the utility of trait space saturation in characterizing evolutionary radiations.

Main Methods:

  • Simulations were used to evaluate the performance of trait space saturation.
  • The metric was standardized for evolutionary limits to trait change.
  • Empirical studies representing diverse evolutionary radiation scenarios were used for illustration.

Main Results:

  • Trait space saturation successfully identified the true model of trait evolution in simulations.
  • This metric proved effective in cases where traditional comparative methods encountered difficulties.
  • The approach demonstrated utility across various empirical examples of evolutionary radiation.

Conclusions:

  • Trait space saturation provides a valuable additional tool for comparative phylogenetic analyses.
  • This metric enhances the ability to characterize evolutionary radiations and understand trait evolution dynamics.
  • The proposed method offers improved discriminatory power for evolutionary models.