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 language | English (US) |
|---|---|
| Pages (from-to) | 81-91 |
| Number of pages | 11 |
| Journal | Evolution |
| Volume | 68 |
| Issue number | 1 |
| DOIs | |
| State | Published - Jan 1 2014 |
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All Science Journal Classification (ASJC) codes
- Ecology, Evolution, Behavior and Systematics
- Genetics
- Agricultural and Biological Sciences(all)
Cite this
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Modeling phenotypic plasticity in growth trajectories : A statistical framework. / Wang, Zhong; Pang, Xiaoming; Wu, Weimiao; Wang, Jianxin; Wang, Zuoheng; Wu, Rongling.
In: Evolution, Vol. 68, No. 1, 01.01.2014, p. 81-91.Research output: Contribution to journal › Article
TY - JOUR
T1 - Modeling phenotypic plasticity in growth trajectories
T2 - A statistical framework
AU - Wang, Zhong
AU - Pang, Xiaoming
AU - Wu, Weimiao
AU - Wang, Jianxin
AU - Wang, Zuoheng
AU - Wu, Rongling
PY - 2014/1/1
Y1 - 2014/1/1
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84890887865&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84890887865&partnerID=8YFLogxK
U2 - 10.1111/evo.12263
DO - 10.1111/evo.12263
M3 - Article
C2 - 24111588
AN - SCOPUS:84890887865
VL - 68
SP - 81
EP - 91
JO - Evolution; international journal of organic evolution
JF - Evolution; international journal of organic evolution
SN - 0014-3820
IS - 1
ER -