文献类型：期刊文献

英文题名：A computational framework for mapping the timing of vegetative phase change

作者：Xu, Meng[1] Jiang, Libo[2] Zhu, Sheng[1] Zhou, Chunguo[1] Ye, Meixia[2] Mao, Ke[2] Sun, Lidan[3] Su, Xiaohua[4] Pan, Huixin[1] Zhang, Shougong[4] Huang, Minren[1] Wu, Rongling[2,3]

第一作者：Xu, Meng

通信作者：Wu, RL[1];Wu, RL[2]

机构：[1]Nanjing Forestry Univ, Coinnovat Ctr Sustainable Forestry Southern China, Nanjing 210037, Jiangsu, Peoples R China;[2]Beijing Forestry Univ, Coll Biol Sci & Technol, Ctr Computat Biol, Beijing 100083, Peoples R China;[3]Penn State Univ, Ctr Stat Genet, Hershey, PA 17033 USA;[4]Chinese Acad Forestry, Res Inst Forestry, Beijing 100094, Peoples R China

年份：2016

卷号：211

期号：2

起止页码：750-760

外文期刊名：NEW PHYTOLOGIST

收录：;Scopus(收录号：2-s2.0-85028260610);WOS:【SCI-EXPANDED(收录号:WOS:000379213200032)】；

基金：We thank Cong Xu for drawing Fig. 1. This research was supported by the 'Twelfth Five-Year' National Science and Technology Support Program (2012BAD01B03), National Basic Research Program of China (2009CB119100), the China Post-doctoral Science Foundation Grant (2014T70530), Special Fund for Forest Scientific Research in the Public Welfare (201404102), Changjiang Scholars Award, and 'Thousand-person Plan' Award.

语种：英文

外文关键词：functional mapping; growth equation; phase change; Populus; quantitative trait loci (QTLs)

摘要：Phase change plays a prominent role in determining the form of growth and development. Although considerable attention has been focused on identifying the regulatory control mechanisms of phase change, a detailed understanding of the genetic architecture of this phenomenon is still lacking. We address this issue by deriving a computational model. The model is founded on the framework of functional mapping aimed at characterizing the interplay between quantitative trait loci (QTLs) and development through biologically meaningful mathematical equations. A multiphasic growth equation was implemented into functional mapping, which, via a series of hypothesis tests, allows the quantification of how QTLs regulate the timing and pattern of vegetative phase transition between independently regulated, temporally coordinated processes. The model was applied to analyze stem radial growth data of an interspecific hybrid family derived from two Populus species during the first 24 yr of ontogeny. Several key QTLs related to phase change have been characterized, most of which were observed to be in the adjacent regions of candidate genes. The identification of phase transition QTLs, whose expression is regulated by endogenous and environmental signals, may enhance our understanding of the evolution of development in changing environments.