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Published on: August 18, 2023
GENOTYPE-ENVIRONMENT INTERACTION AND THE EVOLUTION OF PHENOTYPIC PLASTICITY.
1Department of Biology, The University of Chicago, Chicago, IL, 60637.
Quantitative genetic models reveal how selection shapes phenotypic plasticity and the norm of reaction. Genetic correlations across environments influence evolutionary rates, with slower adaptation in rare environments.
Area of Science:
- Evolutionary biology
- Quantitative genetics
- Ecology
Background:
- Traditional genetic models focus on maintaining variation, but are limited for polygenic traits.
- Quantitative traits require understanding the evolution of phenotypic plasticity (norm of reaction).
- Genotype-environment interaction and genetic correlation are key factors in polygenic trait evolution.
Purpose of the Study:
- To model the evolution of phenotypic plasticity and the norm of reaction for quantitative traits.
- To investigate the role of genetic correlations across environments in shaping evolutionary trajectories.
- To compare evolutionary dynamics under soft and hard selection in coarse-grained environments.
Main Methods:
- Developed quantitative genetic models for polygenic traits.
- Utilized statistical relationships between genotype-environment interaction and genetic correlation.
- Analyzed evolution under soft and hard selection in coarse-grained environments.
- Incorporated subdivided population models with migration.
Main Results:
- Genetic correlations across environments can slow adaptation and cause temporary maladaptation.
- Evolution toward optima in rare environments is significantly slower than in common environments.
- Migration restriction can facilitate local adaptation, but equilibrium variation in the norm of reaction is unlikely without specific conditions.
- Soft and hard selection can lead to different evolutionary trajectories.
Conclusions:
- Genetic correlations across environments are crucial for understanding the evolution of phenotypic plasticity.
- Environmental rarity and selection type significantly impact adaptation rates.
- Spatial patterns of phenotypic variation are influenced by selection, genetic correlations, and population structure.
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