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Related Experiment Videos

Modelling phenotypic plasticity. II. Do genetic correlations matter?

M Pigliucci1

  • 1Department of Botany, University of Tennessee, Knoxville 37996-1100, USA.

Heredity
|November 1, 1996
PubMed
Summary
This summary is machine-generated.

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Predicting evolutionary plasticity requires understanding its genetic basis. Current methods like genotype by environment interaction and genetic correlation may inaccurately forecast evolutionary trajectories for traits.

Area of Science:

  • Evolutionary biology
  • Quantitative genetics
  • Developmental biology

Background:

  • Reaction norms describe how genotypes change phenotypically across environments.
  • Phenotypic variance is partitioned into genetic, environmental, and interaction components.
  • Genotype by environment interaction (GxE) and interenvironment genetic correlation are common measures of plasticity.

Purpose of the Study:

  • To evaluate the predictive power of traditional methods for evolutionary plasticity.
  • To identify limitations of GxE and genetic correlation in predicting evolutionary outcomes.
  • To propose a more accurate approach for predicting the evolution of plasticity.

Main Methods:

  • Mathematical modeling using a one-locus, two-allele model.

Related Experiment Videos

  • Analysis of phenotypic variance partitioning.
  • Comparison of predictions from GxE and genetic correlation with model outcomes.
  • Case study using Drosophila melanogaster pennant/vestigial system for wing length plasticity.

    • Main Results:

    • GxE and genetic correlation can yield conflicting predictions.
    • These traditional methods may fail to predict evolutionary rates and equilibria.
    • Ignoring the specific genetic basis of plasticity limits predictive accuracy.
    • A detailed understanding of genetic architecture is crucial for reliable predictions.

    Conclusions:

    • Current statistical methods for estimating genetic variability in plasticity have limitations.
    • Accurate prediction of evolutionary plasticity necessitates knowledge of specific genetic underpinnings.
    • Understanding population genotypic constitution is vital for forecasting evolutionary trajectories.