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Department of New Biology
CBRG(Complex Biology Research Group)
1. Journal Articles
Genetic redundancy of senescence-associated transcription factors in Arabidopsis
Li, Zhonghai
;
Woo, Hye Ryun
;
Guo, Hongwei
Department of New Biology
CBRG(Complex Biology Research Group)
1. Journal Articles
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Title
Genetic redundancy of senescence-associated transcription factors in Arabidopsis
DGIST Authors
Woo, Hye Ryun
Issued Date
2018-02
Citation
Li, Zhonghai. (2018-02). Genetic redundancy of senescence-associated transcription factors in Arabidopsis. doi: 10.1093/jxb/erx345
Type
Article
Article Type
Review
Subject
Induced Leaf Senescence
;
Crispr-Cas System
;
Duplicated Genes
;
Genome Duplication
;
Factor Family
ISSN
0022-0957
Abstract
Leaf senescence is a genetically programmed process that constitutes the last stage of leaf development, and involves massive changes in gene expression. As a result of the intensive efforts that have been made to elucidate the molecular genetic mechanisms underlying leaf senescence, 184 genes that alter leaf senescence phenotypes when mutated or overexpressed have been identified in Arabidopsis thaliana over the past two decades. Concurrently, experimental evidence on functional redundancy within senescence-associated genes (SAGs) has increased. In this review, we focus on transcription factors that play regulatory roles in Arabidopsis leaf senescence, and describe the relationships among gene duplication, gene expression level, and senescence phenotypes. Previous findings and our re-analysis demonstrate the widespread existence of duplicate SAG pairs and a correlation between gene expression levels in duplicate genes and senescence-related phenotypic severity of the corresponding mutants. We also highlight effective and powerful tools that are available for functional analyses of redundant SAGs. We propose that the study of duplicate SAG pairs offers a unique opportunity to understand the regulation of leaf senescence and can guide the investigation of the functions of redundant SAGs via reverse genetic approaches. © 2018 The Author(s).
URI
http://hdl.handle.net/20.500.11750/6092
DOI
10.1093/jxb/erx345
Publisher
OXFORD UNIV PRESS
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