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Bridging Inter- and Intraspecific Trait Evolution with a Hierarchical Bayesian Approach.

Anna Kostikova1, Daniele Silvestro2, Peter B Pearman3

  • 1Department of Ecology and Evolution, University of Lausanne, 1015 Lausanne, Switzerland; Swiss Institute of Bioinformatics, Quartier Sorge, 1015 Lausanne, Swizterland;

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Organism evolution relies on intraspecific variation. New models now estimate trait evolution rates by considering both trait mean and variance, advancing macroevolutionary studies.

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Area of Science:

  • Evolutionary Biology
  • Quantitative Genetics

Background:

  • Intraspecific variation is key to organismal evolution, influencing competition, resource partitioning, and speciation.
  • Existing comparative models for trait evolution often fail to explicitly test hypotheses about intraspecific variation or simultaneously estimate rates considering both trait mean and variance.

Purpose of the Study:

  • To develop a novel hierarchical Bayesian model for phenotypic trait evolution that simultaneously incorporates interspecific and intraspecific variation.
  • To enable explicit testing of hypotheses regarding the evolution of intraspecific variation and estimate trait evolution rates accounting for both mean and variance.

Main Methods:

  • A hierarchical Bayesian approach was used to model phenotypic trait evolution.
  • Species-specific trait means were modeled using a Brownian motion process.
  • Species-specific trait variances were modeled using Brownian or Ornstein-Uhlenbeck processes.

Main Results:

  • The new model was evaluated for its power through simulations.
  • The study investigated the impact of life-history traits on the evolution of intraspecific variation in Eriogonoideae (Polygonaceae).

Conclusions:

  • The developed model offers a significant advancement for comparative studies of macroevolution.
  • The model is extendable to more complex scenarios of inter- and intraspecific variation evolution.
  • This work provides a step towards more comprehensive comparative models in macroevolutionary research.