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Effects on phenotypic variability of directional selection arising through genetic differences in residual
William G Hill1, Xu-Sheng Zhang
1Institute of Cell, Animal and Population Biology, School of Biological Sciences, University of Edinburgh, West Mains Road, Edinburgh, EH9 3JT, UK. w.g.hill@ed.ac.uk
Genetical Research
|June 29, 2004
Summary
Directional selection can alter quantitative trait variability. This study introduces models where genotypes influence both trait mean and variance, impacting evolutionary responses.
Area of Science:
- Quantitative genetics
- Evolutionary biology
- Population genetics
Background:
- Standard quantitative trait models assume constant genetic variance.
- Genotypes can influence both the mean and the variance of a trait.
- Understanding these dual effects is crucial for predicting evolutionary trajectories.
Purpose of the Study:
- To develop models for directional selection on quantitative traits where genotypes affect both mean and variance.
- To quantify the genetic response in both mean and variance under selection.
- To explore the implications of genotype-by-environment interactions on trait variability.
Main Methods:
- Developed theoretical models incorporating additive genetic effects on both trait mean and variance.
- Derived formulae for the response to selection on mean and variance.
- Accounted for gene frequency changes and the Bulmer effect.
Main Results:
- The selective value of an allele depends on its effects on both mean and variance.
- Response to selection on mean is influenced by additive genetic variance and covariance.
- Response to selection on variance depends on additive genetic covariance and variance.
- Effects on variance are pronounced under intense selection and individual-level selection.
Conclusions:
- Genotypic differences in trait variability are significant in evolutionary models.
- Directional selection can change trait variance, with implications for adaptation.
- Selection on individual phenotypes or within-family deviations maximizes effects on variance.