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Extending eco-evolutionary theory with oligomorphic dynamics.

Sébastien Lion1, Akira Sasaki2,3, Mike Boots4,5

  • 1CEFE, CNRS, Univ Montpellier, EPHE, Montpellier, France.

Ecology Letters
|February 23, 2023
PubMed
Summary
This summary is machine-generated.

A new framework, oligomorphic dynamics, integrates quantitative genetics and adaptive dynamics to study eco-evolutionary processes. This approach accounts for complex trait distributions and ecological feedbacks, enhancing the link between theory and empirical data.

Keywords:
adaptive dynamicseco-evolutionary dynamicsenvironmental feedbackevolutionary theorymodellingmoment equationsoligomorphic dynamicsquantitative geneticsrapid evolution

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Area of Science:

  • Evolutionary Biology
  • Ecology
  • Theoretical Biology

Background:

  • Understanding eco-evolutionary dynamics of quantitative traits is challenging.
  • Existing frameworks like adaptive dynamics and quantitative genetics have limitations and are used by separate research communities.
  • Integrating these approaches is crucial for advancing the field.

Purpose of the Study:

  • To introduce a novel theoretical framework, 'oligomorphic dynamics', that bridges quantitative genetics and adaptive dynamics.
  • To extend quantitative genetics to handle multimodal, non-normal, and skewed trait distributions.
  • To better integrate eco-evolutionary theory with empirical data.

Main Methods:

  • Development of the 'oligomorphic dynamics' theoretical framework.
  • Analysis of eco-evolutionary dynamics across different timescales.
  • Incorporation of environmental feedback, including frequency- and density-dependent selection.

Main Results:

  • Oligomorphic dynamics accounts for multimodal trait distributions and the dynamic nature of genetic variance.
  • The framework addresses disruptive selection arising from ecological feedbacks.
  • It accommodates non-normal and skewed trait distributions commonly found in nature.

Conclusions:

  • Oligomorphic dynamics offers a unified approach to studying eco-evolutionary dynamics.
  • This framework has the potential to significantly strengthen the integration of theory and empirical data in ecology and evolution.
  • It provides a more realistic model for trait evolution under complex ecological conditions.