Hierarchical transcription factor and regulatory network for drought response in Betula platyphylla

白桦 生物 耐旱性 转录因子 基因 基因调控网络 染色质免疫沉淀 遗传学 拟南芥 非生物胁迫 细胞生物学 植物 发起人 基因表达 突变体
作者
Yaqi Jia,Yani Niu,Huimin Zhao,Zhibo Wang,Caiqiu Gao,Chao Wang,Su Chen,Yucheng Wang
出处
期刊:Horticulture research [Nature Portfolio]
卷期号:9 被引量:31
标识
DOI:10.1093/hr/uhac040
摘要

Abstract Although many genes and biological processes involved in abiotic stress responses have been identified, how they are regulated remains largely unclear. Here, to study the regulatory mechanism of birch (Betula platyphylla) responding to drought induced by polyethylene glycol 6000 (20%, w/v), a partial correlation coefficient-based algorithm for constructing a gene regulatory network (GRN) was proposed, and a three-layer hierarchical GRN was constructed, including 68 transcription factors and 252 structural genes. A total of 1448 predicted regulatory relationships are included, and most of them are novel. The reliability of the GRN was verified by chromatin immunoprecipitation (ChIP)–PCR and qRT–PCR based on transient transformation. About 55% of genes in the bottom layer of the GRN could confer drought tolerance. We selected two TFs, BpMADS11 and BpNAC090, from the top layer and characterized their function in drought tolerance. Overexpression of BpMADS11 and BpNAC090 reduces electrolyte leakage, reactive oxygen species (ROS) and malondialdehyde (MDA) contents, giving greater drought tolerance than wild-type birch. According to this GRN, the important biological processes involved in drought were identified, including ‘signaling hormone pathways’, ‘water transport’, ‘regulation of stomatal movement’, and ‘response to oxidative stress’. This work indicated that BpERF017, BpAGL61, and BpNAC090 are the key upstream regulators of birch drought tolerance. Our data clearly revealed that upstream regulators and transcription factor–DNA interaction regulate different biological processes to adapt to drought stress.
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
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
刚刚
刚刚
ddd发布了新的文献求助10
1秒前
11发布了新的文献求助10
1秒前
1秒前
科目三应助177采纳,获得10
2秒前
漫漫完成签到,获得积分10
2秒前
优美尔珍发布了新的文献求助60
2秒前
万能图书馆应助lili992采纳,获得10
2秒前
贪玩的秋柔应助天天采纳,获得10
2秒前
无语的小熊猫完成签到,获得积分10
2秒前
舒心妙旋发布了新的文献求助10
3秒前
3秒前
漪涙应助欢喜的花卷采纳,获得10
4秒前
4秒前
zhuangbaobao发布了新的文献求助10
4秒前
4秒前
任性雨柏发布了新的文献求助10
5秒前
ommo完成签到,获得积分10
5秒前
淡定的以柳完成签到,获得积分10
6秒前
Lalabcdefgood完成签到,获得积分10
6秒前
6秒前
6秒前
6秒前
7秒前
7秒前
8秒前
8秒前
9秒前
林昊完成签到,获得积分10
9秒前
Henry完成签到,获得积分10
10秒前
所所应助177采纳,获得10
10秒前
10秒前
CodeCraft应助ROSEANNE采纳,获得10
11秒前
11秒前
冷酷松鼠发布了新的文献求助10
11秒前
dua完成签到,获得积分10
12秒前
12秒前
Lalabcdefgood发布了新的文献求助10
12秒前
12秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Chemistry and Physics of Carbon Volume 18 800
The Organometallic Chemistry of the Transition Metals 800
The formation of Australian attitudes towards China, 1918-1941 640
Signals, Systems, and Signal Processing 610
全相对论原子结构与含时波包动力学的理论研究--清华大学 500
Elevating Next Generation Genomic Science and Technology using Machine Learning in the Healthcare Industry Applied Machine Learning for IoT and Data Analytics 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6443241
求助须知:如何正确求助?哪些是违规求助? 8257113
关于积分的说明 17585207
捐赠科研通 5501710
什么是DOI,文献DOI怎么找? 2900830
邀请新用户注册赠送积分活动 1877821
关于科研通互助平台的介绍 1717487