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Following the Dynamics of Structural Variants in Experimentally Evolved Populations
Published on: February 3, 2023
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Genetic variance in reproductive timing contributes to trait evolvability.
1Department of Evolutionary Biology, University of Vienna, Djerassiplatz 1, A-1030 Vienna, Austria.
Journal of Evolutionary Biology
|November 25, 2025
Summary
Directional selection on traits also selects for developmental timing, influencing evolvability. Genetic variance in reproductive age accelerates trait evolution, impacting generation time and life history strategies.
Area of Science:
- Evolutionary biology
- Quantitative genetics
- Life history theory
Background:
- Additive genetic variance traditionally measures evolvability.
- Evolvability in overlapping generations is influenced by parental age at reproduction.
- Early reproducing genotypes evolve faster.
Purpose of the Study:
- To investigate how directional selection on phenotypic traits affects developmental timing and evolvability.
- To determine the contribution of genetic variance in reproductive age to trait evolvability.
- To analyze the impact of selection strength on generation time.
Main Methods:
- Individual-based simulations for proof of principle.
- Formalization within a quantitative genetic framework.
- Extension of the breeder's equation.
Main Results:
- Directional selection on a trait links it to reproductive age and developmental timing.
- Genetic covariance between selected traits and reproductive age accelerates evolutionary response.
- Genetic variance in reproductive age contributes to evolvability, even for initially unrelated traits.
- Stable generation time requires intermediate selection strength for later reproduction.
Conclusions:
- Evolvability is influenced by both trait genetic variance and reproductive age genetic variance.
- Strong selection episodes tend to shorten average generation time.
- Findings have implications for understanding senescence and life history evolution.
Keywords:
age-structured populationsevolvabilitygeneration timelife historyquantitative geneticssenescenceMore Related Videos
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