Constraints Evolve: Context-Dependency of Gene Effects Allows Evolution of Pleiotropy
Document Type
Article
Publication Date
12-2015
Publication Title
Annual Review of Evolution, Ecology, and Systematics
Volume
46
Pages
413-434
Publisher Name
Annual Reviews
Abstract
Evolutionary constraint due to pleiotropy refers to a situation in which mutations in genes shared among traits generate trait covariance; therefore, traits that are not directly exposed to selective challenge show a correlated response. When such a correlated response is deleterious, it may constrain the trait from evolving. Here, we argue that the idea of absolute constraints draws from the perception that gene effects are inherent to alleles and thus invariant across genetic and environmental backgrounds. However, evidence from studies involving genetic effects on multiple traits, observed across different genetic backgrounds and environments, supports the notion that genes’ effects on traits change. Consequently, pleiotropy also varies across backgrounds. We argue for a stronger emphasis on interaction effects when describing a trait’s genetic basis and its evolutionary potential. By discussing different cases of trait individuation, we demonstrate how this approach can lead to new insights.
Identifier
1545-2069
Recommended Citation
Cheverud, James M.. Constraints Evolve: Context-Dependency of Gene Effects Allows Evolution of Pleiotropy. Annual Review of Evolution, Ecology, and Systematics, 46, : 413-434, 2015. Retrieved from Loyola eCommons, Biology: Faculty Publications and Other Works, http://dx.doi.org/10.1146/annurev-ecolsys-120213-091721
Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 License.
Copyright Statement
© Annual Reviews, 2015
Comments
Author Posting. © Annual Reviews, 2015. This article is posted here by permission of Annual Reviews for personal use, not for redistribution. The definitive version was published in Annual Review of Evolution, Ecology, and Systematics, Vol. 46, (2015) http://dx.doi.org/10.1146/annurev-ecolsys-120213-091721.