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Updated: May 8, 2026

Following the Dynamics of Structural Variants in Experimentally Evolved Populations
04:52

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Published on: February 3, 2023

Evolutionary branching under slow directional evolution.

Hiroshi C Ito1, Ulf Dieckmann2

  • 1Evolution and Ecology Program, International Institute for Applied Systems Analysis, Schlossplatz 1, A-2361 Laxenburg, Austria; Department of Evolutionary Studies of Biosystems, The Graduate University for Advanced Studies (Sokendai), Hayama 240-0193, Kanagawa, Japan.

Journal of Theoretical Biology
|September 10, 2013
PubMed
Summary
This summary is machine-generated.

Evolutionary branching diversifies species through ecological interactions. New conditions reveal how disruptive selection in one trait can drive branching, even with directional selection on another.

Keywords:
Adaptive dynamicsFrequency-dependent selectionMulti-dimensional traitsSpeciationTwo-dimensional traits

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Area of Science:

  • Evolutionary biology
  • Ecological interactions
  • Speciation

Background:

  • Evolutionary branching drives diversification via ecological interactions.
  • Asexual populations with rare mutations branch through trait-substitution sequences.
  • Univariate traits require disruptive selection at convergence-stable points for branching.

Purpose of the Study:

  • Extend evolutionary branching conditions to bivariate trait spaces.
  • Analyze how selection on one trait affects branching influenced by another.
  • Develop a generalized condition for evolutionary branching in multivariate traits.

Main Methods:

  • Investigated trait-substitution sequences using maximum-likelihood invasions (MLIPs).
  • Derived a sufficient condition for bivariate trait branching along MLIPs.
  • Employed numerical analyses to validate generalized branching conditions.

Main Results:

  • Identified a threshold ratio for disruptive selection to overcome opposing directional selection in bivariate traits.
  • Demonstrated that branching can occur along evolutionary-branching lines with weak residual directional selection.
  • Validated generalized conditions as indicators of branching likelihood beyond MLIPs and rare mutations.

Conclusions:

  • Established conditions for evolutionary branching in bivariate and multivariate trait spaces.
  • Showcased the interplay between disruptive and directional selection in evolutionary diversification.
  • Provided a framework for predicting evolutionary branching in complex trait interactions.