Please use this identifier to cite or link to this item: https://doi.org/10.3389/fpls.2018.01378
Title: Genetic and systematic approaches toward g protein-coupled abiotic stress signaling in plants
Authors: Wu, T.-Y.
Urano, D. 
Keywords: Bioinformatics
Environmental stress
G proteins
Omics
Systems biology
Issue Date: 2018
Publisher: Frontiers Media S.A.
Citation: Wu, T.-Y., Urano, D. (2018). Genetic and systematic approaches toward g protein-coupled abiotic stress signaling in plants. Frontiers in Plant Science 9 : 1378. ScholarBank@NUS Repository. https://doi.org/10.3389/fpls.2018.01378
Rights: Attribution 4.0 International
Abstract: Heterotrimeric G protein, composed of G?, G?, and G? subunits, modulates plant adaptations to environmental stresses such as high salinity, drought, extreme temperatures and high light intensity. Most of these evidence were however derived solely from conventional genetics methods with which stress-associated phenotypes were compared between wild type and various G protein mutant plants. Recent advances in systematic approaches, mainly transcriptome and proteome, have contributed to in-depth understanding of molecular linkages between G proteins and environmental changes. Here, we update our knowledge on the roles of G proteins in abiotic stress responses. Furthermore, we highlight the current whole genome studies and integrated omics approach to better understand the fundamental G protein functions involved in abiotic stress responses. It is our purpose here to bridge the gap between molecular mechanisms in G protein science and stress biology and pave the way toward crop improvement researches in the future. © 2018 Wu and Urano.
Source Title: Frontiers in Plant Science
URI: https://scholarbank.nus.edu.sg/handle/10635/212382
ISSN: 1664462X
DOI: 10.3389/fpls.2018.01378
Rights: Attribution 4.0 International
Appears in Collections:Staff Publications
Elements

Show full item record
Files in This Item:
File Description SizeFormatAccess SettingsVersion 
10_3389_fpls_2018_01378.pdf5.48 MBAdobe PDF

OPEN

NoneView/Download

Google ScholarTM

Check

Altmetric


This item is licensed under a Creative Commons License Creative Commons