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Connecting macroevolutionary patterns to microevolutionary quantitative-genetic models remains challenging. Understanding these genetic parameters through development and physiology can improve evolutionary predictions.

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Area of Science:

  • Evolutionary biology
  • Quantitative genetics

Background:

  • Relating macroevolutionary patterns to microevolutionary quantitative-genetic models is difficult.
  • Quantitative-genetic parameters are abstract and their long-term significance is unclear.
  • Continuous traits are complex, influenced by development, physiology, and maternal effects.

Purpose of the Study:

  • To explore how development and physiology can link quantitative-genetic parameters to macroevolutionary patterns.
  • To improve the informativeness and predictive power of quantitative-genetic models.

Main Methods:

  • Reviewing existing quantitative-genetic models and their limitations.
  • Analyzing examples of allometry in mammalian brain and body size evolution.
  • Discussing statistical challenges in comparative biology.

Main Results:

  • Continuous traits are composites, and selection can act indirectly.
  • Heritable maternal effects complicate selection response.
  • Mammalian brain-body size allometry suggests differential contributions of prenatal and postnatal growth.

Conclusions:

  • Linking quantitative-genetic parameters to biological properties like development is crucial.
  • Improved models require understanding how population history shapes parameter variation.
  • Further research is needed to integrate developmental processes into evolutionary models.