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Multidimensional (co)evolutionary stability.

F Débarre1, S L Nuismer, M Doebeli

  • 1Department of Zoology and Biodiversity Research Centre, University of British Columbia, Vancouver, British Columbia V6T 1Z4, Canada.

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Summary
This summary is machine-generated.

Increased trait numbers can destabilize evolutionary outcomes through combinatorial effects and epistasis. Genetic correlations also impact stability, with higher dimensionality potentially favoring diversification and evolutionary escape.

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Area of Science:

  • Evolutionary biology
  • Theoretical ecology
  • Quantitative genetics

Background:

  • Organismal fitness is shaped by complex biotic and abiotic factors, often depending on multiple traits.
  • Understanding how multiple traits under selection influence evolutionary stability is crucial for predicting ecological dynamics.

Purpose of the Study:

  • To investigate the impact of trait dimensionality on evolutionary stability using a synthetic framework.
  • To analyze how the number of traits under selection affects convergence and evolutionary stability in multidimensional phenotype spaces.

Main Methods:

  • Employed a synthetic framework integrating adaptive dynamics and quantitative genetics.
  • Modeled coevolutionary dynamics in multidimensional phenotype spaces.
  • Examined the influence of trait dimensionality, epistasis, and genetic correlations on stability.

Main Results:

  • Identified three key effects of trait dimensionality: combinatorial effects, epistasis, and genetic correlations.
  • Higher trait dimensions increase opportunities for instability and are amplified by epistasis.
  • Genetic correlations uniquely affect convergence stability, while epistasis and combinatorial effects impact both convergence and evolutionary stability.

Conclusions:

  • Increased dimensionality generally destabilizes evolutionary equilibria.
  • Higher trait dimensionality can promote diversification, local adaptation, and evolutionary escape.
  • The interplay of trait number, epistasis, and genetic correlations is critical for evolutionary stability.