These authors contributed equally to this work.
MODELING PHENOTYPIC PLASTICITY IN GROWTH TRAJECTORIES: A STATISTICAL FRAMEWORK
Article first published online: 20 SEP 2013
© 2013 The Author(s). Evolution © 2013 The Society for the Study of Evolution.
Volume 68, Issue 1, pages 81–91, January 2014
How to Cite
Wang, Z., Pang, X., Wu, W., Wang, J., Wang, Z. and Wu, R. (2014), MODELING PHENOTYPIC PLASTICITY IN GROWTH TRAJECTORIES: A STATISTICAL FRAMEWORK. Evolution, 68: 81–91. doi: 10.1111/evo.12263
- Issue published online: 23 DEC 2013
- Article first published online: 20 SEP 2013
- Accepted manuscript online: 4 SEP 2013 12:50PM EST
- Manuscript Accepted: 10 AUG 2013
- Manuscript Received: 27 FEB 2013
- Changjiang Scholars Award and “Thousand-person Plan” Award. Grant Number: NSF/IOS-0923975
- Developmental trajectory;
- dynamic modeling;
- functional mapping;
- logistic growth curve;
- phenotypic plasticity
Phenotypic plasticity, that is multiple phenotypes produced by a single genotype in response to environmental change, has been thought to play an important role in evolution and speciation. Historically, knowledge about phenotypic plasticity has resulted from the analysis of static traits measured at a single time point. New insight into the adaptive nature of plasticity can be gained by an understanding of how organisms alter their developmental processes in a range of environments. Recent advances in statistical modeling of functional data and developmental genetics allow us to construct a dynamic framework of plastic response in developmental form and pattern. Under this framework, development, genetics, and evolution can be synthesized through statistical bridges to better address how evolution results from phenotypic variation in the process of development via genetic alterations.