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Developmental quantitative genetic models of evolutionary change

W R Atchley1, S Xu, C Vogl

  • 1Department of Genetics, North Carolina State University, Raleigh 27695-7614.

Developmental Genetics
|January 1, 1994
PubMed
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This study explores quantitative genetic models for evolutionary change in development and morphology. It evaluates various models, from classical to epigenetic, aiding in understanding evolutionary processes.

Area of Science:

  • Evolutionary biology
  • Developmental biology
  • Quantitative genetics

Background:

  • Evolutionary change in development and morphology relies on quantitative genetic models.
  • Model selection involves balancing biological relevance with computational feasibility.
  • Existing models vary in complexity, from direct effects to epigenetic approaches.

Purpose of the Study:

  • To discuss and evaluate diverse quantitative genetic models for the evolution of development and morphology.
  • To demonstrate the algebraic equivalence between specific epigenetic and developmental mapping models.
  • To propose a novel multivariate model for continuous growth trajectories.

Main Methods:

  • Review and discussion of existing quantitative genetic models (e.g., direct effects, epigenetic models).

Related Experiment Videos

  • Algebraic demonstration of equivalency between the Cowley and Atchley epigenetic model and Wagner's developmental mapping model.
  • Proposal of a new multivariate model for analyzing continuous growth trajectories.

    • Main Results:

    • Several developmental quantitative genetic models are discussed, spanning classical to epigenetic frameworks.
    • Algebraic equivalency is established between the Cowley and Atchley and Wagner's models.
    • A new multivariate model for continuous growth trajectories is proposed.

    Conclusions:

    • The choice of quantitative genetic model is crucial for predicting evolutionary change in development and morphology.
    • Different models offer varying levels of insight into evolutionary processes.
    • Further development and application of these models are essential for advancing evolutionary developmental biology research.