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Following the Dynamics of Structural Variants in Experimentally Evolved Populations
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Evolution of dispersal under variable connectivity.

Petteri Karisto1, Éva Kisdi1

  • 1Department of Mathematics and Statistics, University of Helsinki, Finland.

Journal of Theoretical Biology
|November 17, 2016
PubMed
Summary
This summary is machine-generated.

Variable connectivity between local populations influences dispersal evolution. Contrasting connectivities can maintain dispersal polymorphisms, even in stable environments, by promoting evolutionary branching and stable dimorphisms.

Keywords:
Adaptive dynamicsDispersal polymorphismEvolutionary branchingKin competitionPatch connectivity

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Area of Science:

  • Evolutionary biology
  • Population genetics
  • Theoretical ecology

Background:

  • Dispersal evolution is crucial for population dynamics.
  • Connectivity patterns between local populations are poorly understood.
  • Existing models often simplify connectivity assumptions.

Purpose of the Study:

  • To investigate how variable connectivity affects dispersal evolution.
  • To explore the conditions favoring dispersal polymorphisms.
  • To analyze the stability of different dispersal strategies.

Main Methods:

  • Modification of the Hamilton-May model for dispersal evolution.
  • Application of adaptive dynamics for theoretical analysis.
  • Inclusion of solitary and clustered microsite connectivity patterns.

Main Results:

  • Monomorphic populations evolve to a singular dispersal strategy.
  • Evolutionary branching occurs with high connectivity contrast and common solitary sites.
  • Dimorphic singularities are evolutionarily and convergence stable, often protected.

Conclusions:

  • Variable connectivity is a key factor in dispersal evolution.
  • Contrasting connectivities can maintain dispersal polymorphisms.
  • The model provides insights into the maintenance of biodiversity through dispersal strategies.