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A SIMULATION STUDY OF MULTILOCUS CLINES.

S J E Baird1

  • 1Institute of Cell Animal and Population Biology, The University of Edinburgh, Ashworth Laboratories, King's Buildings, West Mains Road, Edinburgh, EH9 3JT, United Kingdom.

Evolution; International Journal of Organic Evolution
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Summary
This summary is machine-generated.

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.

Keywords:
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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.