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Updated: Mar 13, 2026
04:52
Following the Dynamics of Structural Variants in Experimentally Evolved Populations
Published on: February 3, 2023
1.4K
Bridging developmental and statistical approaches to variation and evolution
Lisandro Milocco1,2, Tobias Uller2
1Department of Zoology, SciLifeLab, Stockholm University, Stockholm 106 91, Sweden.
Summary
This study bridges developmental and statistical views of phenotypic variation. It shows how developmental dynamics predict evolutionary patterns and improve parameter estimation for understanding adaptation.
Area of Science:
- Evolutionary biology
- Developmental biology
- Quantitative genetics
Background:
- Phenotypic variation is crucial for evolution, but a gap exists between developmental and statistical models.
- Understanding this gap limits predicting evolutionary change and adaptation.
Purpose of the Study:
- To formally connect developmental and statistical accounts of phenotypic variation.
- To provide a framework for understanding how development shapes evolutionary trajectories.
Main Methods:
- Representing development as a dynamical system.
- Deriving relationships between developmental perturbations and quantitative-genetic parameters.
Main Results:
- The full developmental trajectory improves estimation of evolutionary parameters.
- Different variation sources (genetic, environmental, stochastic) shape phenotypic distributions.
- Identified conditions for covariance matrix alignment, explaining statistical patterns developmentally.
Conclusions:
- Developmental processes fundamentally structure phenotypic variation.
- This framework advances understanding of evolutionary dynamics and evolvability.
- Offers a developmental basis for micro- and macroevolutionary patterns.
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