Alternative evolutionary outcomes following endosymbiont-mediated selection on male mating preference alleles

Antje Hundertmark1, Sara L Goodacre1, John F Y Brookfield1

  • 1School of Life Sciences, University of Nottingham, University Park, Nottingham, UK.

Insights

Male mating preferences can drive Wolbachia bacteria out of arthropod populations. This occurs when males avoid mating with uninfected females, potentially hindering bacterial control strategies.

Area of Science:

  • Evolutionary biology
  • Microbiology
  • Genetics

Background:

  • Wolbachia bacteria spread through arthropod populations via cytoplasmic incompatibility (CI), causing reduced fertility in crosses between infected males and uninfected females.
  • Maternal inheritance of Wolbachia and CI create a threshold frequency for bacterial invasion and stable persistence in host populations.

Purpose of the Study:

  • To investigate the evolutionary dynamics of male mating preference alleles that influence Wolbachia-driven CI.
  • To determine conditions under which these preference alleles can eliminate or coexist with Wolbachia infections.

Main Methods:

  • Mathematical modeling of allele frequency dynamics.
  • Analysis of conditional and unconditional male mating preferences.
  • Exploration of parameter space including transmission fidelity and CI fertility.

Main Results:

  • Conditional preference alleles can drive Wolbachia to extinction or lead to a stable joint equilibrium with the bacteria.
  • Unconditional preference alleles have a reduced effect but can still eliminate Wolbachia under specific transmission and fertility rates.
  • Positive linkage disequilibrium can facilitate the spread of unconditional preference alleles.

Conclusions:

  • The evolution of male mating preferences can significantly impact Wolbachia population dynamics.
  • These preferences can potentially disrupt or alter strategies aimed at manipulating arthropod populations using Wolbachia.
  • Understanding these evolutionary feedbacks is crucial for effective biocontrol applications.

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