Mapping genes for plant structure, development and evolution: functional mapping meets ontology

被引：32

作者：

He, Qiuling ^{[2
]}

Berg, Arthur ^{[3
]}

Li, Yao ^{[4
]}

Vallejos, C. Eduardo ^{[1
]}

Wu, Rongling ^{[2
,3
,5
,6
]}

机构：

[1] Univ Florida, Dept Hort Sci, Gainesville, FL 32606 USA

[2] Nanjing Forestry Univ, Coll Forest Resources & Environm, Key Lab Forest Genet & Gene Engn, Nanjing 210037, JS, Peoples R China

[3] Penn State Univ, Dept Publ Hlth Sci, Hershey, PA 17033 USA

[4] W Virginia Univ, Dept Stat, Morgantown, WV 26506 USA

[5] Beijing Forestry Univ, Coll Life Sci & Biotechnol, State Key Lab Tree Breeding, Beijing 100083, Peoples R China

[6] Penn State Univ, Dept Stat, University Pk, PA 16802 USA

来源：

TRENDS IN GENETICS | 2010年 / 26卷 / 01期

关键词：

ORGAN SIZE; STATISTICAL-MODEL; CELL NUMBERS; ARABIDOPSIS; GROWTH; ARCHITECTURE; SEQUENCE; GENOME; VOCABULARY;

D O I：

10.1016/j.tig.2009.11.004

中图分类号：

Q3 [遗传学];

学科分类号：

071007 ; 090102 ;

摘要：

One of the fundamental tasks in biology is the identification of genes that control the structure and developmental pattern of complex traits and their responses to the environment during trait development. Functional mapping provides a statistical means for detecting quantitative trait loci (QTLs) that underlie developmental traits, such as growth trajectories, and for testing the interplay between gene action and development. Here we describe how functional mapping and studies of plant ontology can be integrated so as to elucidate the expression mechanisms of QTLs that control plant growth, morphology, development, and adaptation to changing environments. This approach can also be used to construct an evo-devo framework for inferring the evolution of developmental traits.

引用

页码：39 / 46

页数：8

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