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Selection and evolution of causally covarying traits
1School of Biology, Dyers Brae House, University of St. Andrews, St. Andrews, Fife, KY16 9TH, United Kingdom. michael.morrissey@st-andrews.ac.uk.
Evolution; International Journal of Organic Evolution
|March 12, 2014
Summary
Evolutionary biology now has a clearer way to measure trait effects on fitness. New "extended selection gradients" capture total trait impacts, improving predictions of evolutionary change.
Area of Science:
- Evolutionary Biology
- Quantitative Genetics
- Ecology
Background:
- Traits influencing fitness variation are central to evolutionary biology.
- Multivariate selection gradients quantify direct trait effects on fitness, not total effects.
- Path analytic characterizations of total trait effects on fitness are not yet integrated into quantitative genetic theory.
Purpose of the Study:
- To formally define and introduce
- extended selection gradients
- to capture the total effects of traits on fitness.
- To provide a more intuitive framework for characterizing natural selection.
- To integrate total effect measures into quantitative genetic theory.
Main Methods:
- Formal definition of extended selection gradients.
- Comparison of extended selection gradients with standard selection gradients.
- Discussion of statistical assessment and data assumptions for estimation.
- Integration with multivariate phenotypic variation and genetic inference.
Main Results:
- Extended selection gradients represent the total effects of traits on fitness, distinct from direct effects.
- These new gradients differ in statistical assessment, required assumptions, and biological meaning.
- Extended selection gradients offer a more intuitive scheme for characterizing selection.
Conclusions:
- Extended selection gradients provide a more comprehensive measure of trait-fitness relationships.
- This framework enhances the prediction of microevolutionary trajectories.
- The study formally incorporates total effect path analytic characterizations into quantitative genetic theory.
Keywords:
Causationmultivariatenatural selectionpath analysissecondary theorem of selectionselection gradientsMore Related Videos
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