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Adaptive Alignment of Plasticity With Genetic Variation and Selection
Monica Anderson Berdal1, Ned A Dochtermann1
1Department of Biological Sciences, North Dakota State University, Fargo, ND.
The evolution of genetic variation (G), phenotypic plasticity, and selection surfaces are predicted to align. This study explores how to test this alignment and considers non-adaptive plasticity.
Area of Science:
- Evolutionary biology
- Quantitative genetics
Background:
- Theoretical research predicts alignment between genetic variance-covariance matrices (G), phenotypic plasticity, and selection surfaces.
- This alignment is expected under adaptive evolution in multivariate trait spaces.
Purpose of the Study:
- To discuss the theoretical basis and mathematical definition of alignment between G, plasticity, and selection.
- To outline methods for testing this alignment in empirical populations.
- To address caveats, particularly concerning non-adaptive plasticity.
Main Methods:
- Review of theoretical frameworks in evolutionary quantitative genetics.
- Mathematical explication of the alignment concept.
- Discussion of empirical testing strategies and potential pitfalls.
Main Results:
- The prediction of alignment holds primarily for adaptive phenotypic plasticity.
- Non-adaptive or maladaptive plasticity can lead to deviations from predicted alignment.
- Understanding these deviations offers insights into evolutionary processes.
Conclusions:
- Alignment between G, plasticity, and selection is a key prediction for adaptive evolution.
- Empirical assessment requires careful consideration of plasticity's adaptive status.
- Deviations from alignment provide valuable information about evolutionary dynamics and constraints.
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