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New properties of the two-locus partial selfing model with selection.
1Division of Biological Sciences, University of Kansas, Lawrence, Kansas 66045.
Genetics
|September 1, 1979
Summary
This study introduces Delta(s) to measure gametic disequilibrium potential in models with mixed selfing and outcrossing. Findings reveal partial selfing
Area of Science:
- Population Genetics
- Evolutionary Biology
- Quantitative Genetics
Background:
- Heterotic selection models are crucial for understanding genetic variation maintenance.
- Mixed selfing and random outcrossing influence population genetic dynamics.
- Gametic disequilibrium is a key factor in evolutionary processes.
Purpose of the Study:
- To derive analytic solutions for equilibria in a two-locus selection model with mixed selfing.
- To introduce and analyze a new measure of gametic disequilibrium potential, Delta(s).
- To investigate the effects of partial selfing on genetic disequilibrium and mean fitness.
Main Methods:
- Analytic solutions for equilibrium states.
- Mathematical modeling of a two-locus heterotic selection model.
- Numerical examination of model outcomes under varying selfing rates and linkage.
Main Results:
- Two phenomena are identified: negative disequilibrium potential (only gametic disequilibrium possible) and positive disequilibrium potential (permanent gametic disequilibrium possible with tight linkage).
- Partial selfing alters the relationship between disequilibrium potential and epistasis compared to random mating.
- New properties of partial selfing emerged: equilibrium mean fitness correlates inversely with recombination under negative Delta(s) and directly under positive Delta(s).
- Gametic disequilibrium can either increase or decrease with increasing selfing rates.
Conclusions:
- Partial selfing and linkage are not analogous in their effects on maintaining disequilibrium.
- The measure Delta(s) provides a more accurate assessment of disequilibrium potential under partial selfing.
- Understanding these dynamics is vital for predicting evolutionary trajectories and the persistence of genetic variation.
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