Gibberellins and DELLAs: central nodes in growth regulatory networks

生物 赤霉素 植物生长 植物生物学 植物
作者
Hannes Claeys,Stefanie De Bodt,Dirk Inzé
出处
期刊:Trends in Plant Science [Elsevier]
卷期号:19 (4): 231-239 被引量:220
标识
DOI:10.1016/j.tplants.2013.10.001
摘要

•GAs are central nodes in complex growth-regulating networks. •GA responses are highly context-dependent and dynamic. •Networks involving GAs are primarily regulated at the protein level. •Modeling and tissue-specific interactome and transcriptome analyses are needed. Gibberellins (GAs) are growth-promoting phytohormones that were crucial in breeding improved semi-dwarf varieties during the green revolution. However, the molecular basis for GA-induced growth stimulation is poorly understood. In this review, we use light-regulated hypocotyl elongation as a case study, combined with a meta-analysis of available transcriptome data, to discuss the role of GAs as central nodes in networks connecting environmental inputs to growth. These networks are highly tissue-specific, with dynamic and rapid regulation that mostly occurs at the protein level, directly affecting the activity and transcription of effectors. New systems biology approaches addressing the role of GAs in growth should take these properties into account, combining tissue-specific interactomics, transcriptomics and modeling, to provide essential knowledge to fuel a second green revolution. Gibberellins (GAs) are growth-promoting phytohormones that were crucial in breeding improved semi-dwarf varieties during the green revolution. However, the molecular basis for GA-induced growth stimulation is poorly understood. In this review, we use light-regulated hypocotyl elongation as a case study, combined with a meta-analysis of available transcriptome data, to discuss the role of GAs as central nodes in networks connecting environmental inputs to growth. These networks are highly tissue-specific, with dynamic and rapid regulation that mostly occurs at the protein level, directly affecting the activity and transcription of effectors. New systems biology approaches addressing the role of GAs in growth should take these properties into account, combining tissue-specific interactomics, transcriptomics and modeling, to provide essential knowledge to fuel a second green revolution.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
大幅提高文件上传限制,最高150M (2024-4-1)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
lulu完成签到,获得积分10
1秒前
wanci应助五棵松恶霸采纳,获得10
2秒前
3秒前
Singularity应助典雅靖儿采纳,获得10
6秒前
6秒前
sunboy14521发布了新的文献求助10
7秒前
TheMonster发布了新的文献求助10
10秒前
大意的天亦完成签到,获得积分20
12秒前
搜集达人应助雪山采纳,获得10
12秒前
13秒前
13秒前
13秒前
Edward发布了新的文献求助100
14秒前
yu发布了新的文献求助30
16秒前
红豆完成签到,获得积分10
16秒前
NexusExplorer应助chenwenjun4584采纳,获得10
16秒前
20秒前
阿东发布了新的文献求助10
20秒前
海峰完成签到,获得积分10
21秒前
zhimajiang发布了新的文献求助20
23秒前
24秒前
雪山发布了新的文献求助10
26秒前
27秒前
28秒前
aaa发布了新的文献求助10
28秒前
WDD完成签到,获得积分10
28秒前
ssherw完成签到,获得积分10
29秒前
30秒前
DY应助自然的南露采纳,获得20
30秒前
木槿花难开完成签到,获得积分10
31秒前
31秒前
Zx发布了新的文献求助10
32秒前
rocky15应助丁丁采纳,获得10
33秒前
33秒前
33秒前
33秒前
阿东完成签到,获得积分10
34秒前
34秒前
思源应助JackLL采纳,获得10
35秒前
小乔大王完成签到,获得积分10
36秒前
高分求助中
Sustainable Land Management: Strategies to Cope with the Marginalisation of Agriculture 1000
Corrosion and Oxygen Control 600
Python Programming for Linguistics and Digital Humanities: Applications for Text-Focused Fields 500
Heterocyclic Stilbene and Bibenzyl Derivatives in Liverworts: Distribution, Structures, Total Synthesis and Biological Activity 500
重庆市新能源汽车产业大数据招商指南(两链两图两池两库两平台两清单两报告) 400
Division and square root. Digit-recurrence algorithms and implementations 400
行動データの計算論モデリング 強化学習モデルを例として 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 有机化学 工程类 生物化学 纳米技术 物理 内科学 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 电极 光电子学 量子力学
热门帖子
关注 科研通微信公众号,转发送积分 2547977
求助须知:如何正确求助?哪些是违规求助? 2176407
关于积分的说明 5604321
捐赠科研通 1897193
什么是DOI,文献DOI怎么找? 946780
版权声明 565419
科研通“疑难数据库(出版商)”最低求助积分说明 503913