Abstract
Sexually reproducing organisms often rely on various traits to judge the attractiveness of potential mates. Many mate choice preferences and traits have evolved through selection by those organisms' ancestors, with traits having been either costly (detrimental to survival) or noncostly in the environment of their evolutionary adaptation. A general mathematical analysis of the evolution of traits used in mate choice is presented. The analysis builds on a combination of Price's covariance equation and Wright's method of path analysis, and includes a set of Monte Carlo simulations. The usefulness of the mathematical analysis is demonstrated through the development of a small but important set of hypotheses and implications for the human species: (1) costly traits used in mate choice by humans should be generally less common and more attractive to the other sex than non-costly traits; (2) costly traits should be disproportionately less common in human females than in males; and (3) some harmful human mental disorders, such as schizophrenia, may have co-evolved as costs of attractive mental traits. It is also shown that similar analyses can be easily employed by evolutionary psychologists to theorize about the evolution of complex mate choice traits, and to test the resulting theories with modern humans through the method of path analysis.
Keywords
Affiliated Institutions
Related Publications
Mapping mendelian factors underlying quantitative traits using RFLP linkage maps.
Abstract The advent of complete genetic linkage maps consisting of codominant DNA markers [typically restriction fragment length polymorphisms (RFLPs)] has stimulated interest i...
A modified particle swarm optimizer
Evolutionary computation techniques, genetic algorithms, evolutionary strategies and genetic programming are motivated by the evolution of nature. A population of individuals, w...
Worldwide Human Relationships Inferred from Genome-Wide Patterns of Variation
Human genetic diversity is shaped by both demographic and biological factors and has fundamental implications for understanding the genetic basis of diseases. We studied 938 unr...
Bayesian Phylogenetic Inference via Markov Chain Monte Carlo Methods
Summary. We derive a Markov chain to sample from the posterior distribution for a phylogenetic tree given sequence information from the corresponding set of organisms, a stochas...
Mitochondrial DNA phylogeography and population history of the grey wolf<i>Canis lupus</i>
Abstract The grey wolf ( Canis lupus ) and coyote ( C. latrans ) are highly mobile carnivores that disperse over great distances in search of territories and mates. Previous gen...
Publication Info
- Year
- 2011
- Type
- article
- Volume
- 9
- Issue
- 3
- Pages
- 219-247
- Citations
- 15
- Access
- Closed
External Links
Social Impact
Social media, news, blog, policy document mentions
Citation Metrics
Cite This
Identifiers
- DOI
- 10.1556/jep.9.2011.3.1