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The effects of multilocus balancing selection on neutral variability.

Arcadio Navarro1, Nick H Barton

  • 1Institute of Cell, Animal and Population Biology, University of Edinburgh, Edinburgh EH9 3JT, United Kingdom. arcadi@holyrood.ed.ac.uk

Genetics
|June 20, 2002
PubMed
Summary

Multilocus balancing selection significantly impacts neutral genetic diversity. While theory predicts large increases, simulations show this effect is limited by population dynamics and epistasis, complicating detection.

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Area of Science:

  • Population Genetics
  • Evolutionary Biology
  • Molecular Evolution

Background:

  • Balancing selection maintains genetic diversity by favoring multiple alleles.
  • Previous models focused on single loci, with limited understanding of multilocus effects.

Purpose of the Study:

  • Investigate the impact of multilocus balancing selection on neutral genetic variability.
  • Examine how epistasis and population structure influence diversity under balancing selection.
  • Assess the detectability of balancing selection in complex genetic architectures.

Main Methods:

  • Simulated a population genetics model with multiple selected loci under symmetric overdominance.
  • Incorporated varying degrees of epistasis and gametic disequilibrium.
  • Utilized a multilocus extension of the structured coalescent for analytical predictions.

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Main Results:

  • Simulations indicated that while variability increases with genetic backgrounds, random fluctuations limit its extent.
  • Contrary to analytical predictions, high neutral diversity was not consistently observed, even in large populations.
  • Detecting balancing selection proved challenging under fitness regimes that theoretically maximize diversity.

Conclusions:

  • Multilocus balancing selection's effect on neutral diversity is complex and deviates from simple single-locus predictions.
  • Population dynamics and epistasis play crucial roles in shaping genetic variability.
  • Current methods for detecting balancing selection may be less effective in complex multilocus systems.