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Background selection and population differentiation.

Xin-Sheng Hu1, Fangliang He

  • 1Department of Renewable Resources, 751 General Services Building, University of Alberta, Edmonton, AB Canada T6G 2H1. xin-sheng.hu@ualberta.ca

Journal of Theoretical Biology
|May 3, 2005
PubMed
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Background selection increases population differentiation (Fst) at neutral loci linked to deleterious mutations. This effect, influenced by linkage disequilibrium, is accurately predicted by a new analytical formula.

Area of Science:

  • Population Genetics
  • Evolutionary Biology
  • Quantitative Genetics

Background:

  • Background selection, driven by linked deleterious mutations, can influence genetic diversity.
  • Understanding its impact on population differentiation (Fst) is crucial for evolutionary studies.

Purpose of the Study:

  • To derive a general analytical formula predicting the effects of background selection on population differentiation at neutral loci.
  • To investigate the role of linkage and gene flow in shaping these effects.

Main Methods:

  • Developed analytical theory based on random mating, multiplicative fitness, and weak selection in hermaphrodite plants under an island population structure.
  • Employed Monte Carlo computer simulations with two- and three-locus models to validate the analytical formulae.

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Main Results:

  • Background selection consistently increases Fst at neutral loci, irrespective of linkage dependencies among selected loci.
  • The magnitude of Fst increase is directly related to linkage disequilibrium between neutral and selected loci.
  • Gene flow influences steady-state linkage disequilibrium, which decreases with recombination rate.

Conclusions:

  • The derived analytical formula accurately predicts background selection effects on population differentiation.
  • This framework can aid in genome-wide mapping of background selection's impact on Fst.