Literature DB >> 24032980

A synthetic framework for modeling the genetic basis of phenotypic plasticity and its costs.

Yi Zhai1, Yafei Lv1, Xin Li1, Weimiao Wu1, Wenhao Bo1, Dengfeng Shen1, Fang Xu1, Xiaoming Pang1, Bingsong Zheng2, Rongling Wu1,3.   

Abstract

The phenotype of an individual is controlled not only by its genes, but also by the environment in which it grows. A growing body of evidence shows that the extent to which phenotypic changes are driven by the environment, known as phenotypic plasticity, is also under genetic control, but an overall picture of genetic variation for phenotypic plasticity remains elusive. Here, we develop a model for mapping quantitative trait loci (QTLs) that regulate environment-induced plastic response. This model enables geneticists to test whether there exist actual QTLs that determine phenotypic plasticity and, if there are, further test how plasticity QTLs control the costs of plastic response by dissecting the genetic correlation of phenotypic plasticity and trait value. The model was used to analyze real data for grain yield of winter wheat (Triticum aestivum), leading to the detection of pleiotropic QTLs and epistatic QTLs that affect phenotypic plasticity and its cost in this crop.
© 2013 The Authors. New Phytologist © 2013 New Phytologist Trust.

Entities:  

Keywords:  epistasis; genetic mapping; phenotypic plasticity; plasticity cost; pleiotropy; quantitative trait locus (QTL); winter wheat

Mesh:

Year:  2013        PMID: 24032980     DOI: 10.1111/nph.12458

Source DB:  PubMed          Journal:  New Phytol        ISSN: 0028-646X            Impact factor:   10.151


  2 in total

1.  An eco-evo-devo genetic network model of stress response.

Authors:  Li Feng; Tianyu Dong; Peng Jiang; Zhenyu Yang; Ang Dong; Shang-Qian Xie; Christopher H Griffin; Rongling Wu
Journal:  Hortic Res       Date:  2022-06-07       Impact factor: 7.291

Review 2.  Genetic interactions matter more in less-optimal environments: a Focused Review of "Phenotype uniformity in combined-stress environments has a different genetic architecture than in single-stress treatments" (Makumburage and Stapleton, 2011).

Authors:  Dustin A Landers; Ann E Stapleton
Journal:  Front Plant Sci       Date:  2014-08-11       Impact factor: 5.753

  2 in total

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