A SIMULATION STUDY OF MULTILOCUS CLINES.
1Institute of Cell Animal and Population Biology, The University of Edinburgh, Ashworth Laboratories, King's Buildings, West Mains Road, Edinburgh, EH9 3JT, United Kingdom.
Computer simulations reveal that selected alleles in a cline remain associated longer than predicted by equilibrium models. This slow approach to equilibrium suggests a method for estimating the time since secondary contact between populations.
Area of Science:
- Population Genetics
- Evolutionary Biology
- Quantitative Genetics
Background:
- Fisher's method of junctions analyzes allele association in clines.
- Equilibrium models predict a "critical value" of selection for allele association.
- Previous models assumed rapid attainment of equilibrium.
Purpose of the Study:
- Investigate allele association in clines using computer simulations.
- Compare simulation results with equilibrium predictions.
- Assess the rate of approach to equilibrium under selection.
Main Methods:
- Simulated secondary contact between two infinite demes with gene flow.
- Implemented additive selection equivalent to heterozygote disadvantage on haploids.
- Utilized uniform recombination across a single chromosome.
Main Results:
- The predicted "critical value" of selection for association was not observed in simulations.
- Loci remained associated to some extent across all simulated selection strengths.
- Simulations aligned with equilibrium analysis in other aspects, indicating a slow approach to equilibrium under weak selection.
Conclusions:
- The approach to equilibrium is significantly slower than predicted by equilibrium models, especially under weak selection.
- The slow approach to equilibrium allows for estimation of time since secondary contact.
- Findings have implications for understanding natural hybrid zones and evolutionary timescales.
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