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Graph-structured populations and the Hill-Robertson effect.

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Summary
This summary is machine-generated.

Population structure significantly impacts the Hill-Robertson effect. Network structures, especially scale-free and star networks, can greatly reduce fixation probability and alter fixation times for favored alleles.

Keywords:
fixationgenetic driftnatural selectionnetworkpopulation structurerecombination

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Area of Science:

  • Evolutionary genetics
  • Population genetics
  • Theoretical biology

Background:

  • The Hill-Robertson effect explains how selection at one locus affects linked loci in finite populations.
  • Understanding the influence of population structure on this effect is crucial for evolutionary dynamics.

Purpose of the Study:

  • To investigate how different population structures, modeled as networks, influence the Hill-Robertson effect.
  • To analyze the impact on fixation probability, fixation time, and haplotype fixation likelihood.

Main Methods:

  • Modeling population structure using various network types: regular (fully connected, ring, torus), scale-free, and star networks.
  • Simulating the Hill-Robertson effect across these diverse network topologies for a population of size N.
  • Examining the effects of varying recombination rates on fixation dynamics.

Main Results:

  • Regular networks showed invariant effects, while scale-free and star networks reduced fixation probability.
  • Fixation times varied significantly, with some networks increasing and others decreasing the time to fixation.
  • Scale-free and star networks were faster to fix optimal haplotypes, but star networks were prone to fixing least-fit haplotypes rapidly.
  • Increased recombination generally increased fixation likelihood but also fixation time.

Conclusions:

  • Population structure profoundly modulates the Hill-Robertson effect, challenging assumptions of panmictic models.
  • Network topology is a critical factor in determining the evolutionary trajectory of linked loci.
  • Star-like structures present unique evolutionary dynamics, potentially leading to rapid fixation of suboptimal alleles.