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Runaway sexual selection when female preferences are directly selected
D W Hall1, M Kirkpatrick, B West
1Section of Integrative Biology, University of Texas, Austin 78712, USA. davehall@uts.cc.utexas.edu
Evolution; International Journal of Organic Evolution
|February 24, 2001
Summary
Runaway coevolution between female mating preferences and male traits is less likely with direct selection on preferences. However, a strong correlation between female preference and male traits in mated pairs can still drive a runaway process.
Area of Science:
- Evolutionary Biology
- Sexual Selection
- Quantitative Genetics
Background:
- Coevolution of mating preferences and display traits is a key driver of sexual selection.
- Previous models often assumed limited direct selection on preferences or specific mate choice functions.
Purpose of the Study:
- To develop generalized models for runaway coevolution of female mating preferences and male display traits.
- To investigate the impact of direct natural selection on preferences and various mate choice scenarios.
- To analyze the genetic underpinnings and specific preference functions contributing to runaway evolution.
Main Methods:
- Development of mathematical models incorporating direct selection on female preferences.
- Inclusion of arbitrary mate choice functions and general genetic assumptions.
- Analysis of specific preference functions (e.g., open-ended, absolute) and comparison with existing models.
Main Results:
- Direct natural selection on female preferences reduces the likelihood of runaway coevolution.
- A significant phenotypic correlation between female preference and male trait in mated pairs can still lead to runaway.
- Open-ended preferences are highly susceptible to runaway, while absolute preferences require substantial female variation.
Conclusions:
- Generalized models reveal nuanced conditions for runaway coevolution.
- The interplay between direct selection, mate choice, and genetic correlations is crucial.
- Understanding specific preference functions is key to predicting evolutionary trajectories.