Modeling phenotypic plasticity in growth trajectories: A statistical framework

Zhong Wang, Xiaoming Pang, Weimiao Wu, Jianxin Wang, Zuoheng Wang, Rongling Wu

Research output: Contribution to journalArticlepeer-review

13 Scopus citations

Abstract

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.

Original languageEnglish (US)
Pages (from-to)81-91
Number of pages11
JournalEvolution
Volume68
Issue number1
DOIs
StatePublished - Jan 1 2014

All Science Journal Classification (ASJC) codes

  • Ecology, Evolution, Behavior and Systematics
  • Genetics
  • Agricultural and Biological Sciences(all)

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