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Consequences of stabilising selection for polygenic variation.

K Mather

    Heredity
    |April 1, 1987
    PubMed
    Summary
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    Previous models incorrectly assumed population mean equals optimal expression under stabilizing selection. This study demonstrates that deviation from the optimum, not the mean, dictates evolutionary outcomes, potentially conserving genetic variation.

    Area of Science:

    • Evolutionary Biology
    • Quantitative Genetics

    Background:

    • Stabilizing selection favors optimal expression of quantitative traits.
    • Previous models assumed population mean approximates optimum, predicting allele fixation.

    Purpose of the Study:

    • To re-evaluate the consequences of stabilizing selection on gene frequency dynamics.
    • To investigate the role of deviation from the optimum in evolutionary outcomes.

    Main Methods:

    • Developed a biometrical model incorporating dominance (h) and midpoint deviation from optimum (m).
    • Analyzed outcomes under random mating and absence of epistasis for a single gene pair.

    Main Results:

    • Identified three possible outcomes: stable equilibrium (variation conserved), fitter allele fixation, or unstable equilibrium leading to fixation.

    Related Experiment Videos

  • Demonstrated that deviation from optimum, not mean, determines which outcome occurs.
  • Showed only stable equilibrium conserves genetic variation.

    • Conclusions:

    • The departure of the population mean from the optimal expression is critical for understanding stabilizing selection.
    • Stabilizing selection can maintain genetic variation under specific conditions.
    • Model provides a more accurate framework for predicting evolutionary trajectories of quantitative traits.