Transcription factor KUA1 positively regulates tomato resistance against Phytophthora infestans by fine‐tuning reactive oxygen species accumulation

疫病疫霉菌 转录因子 活性氧 生物 微生物学 细胞生物学 遗传学 基因
作者
Zhicheng Wang,Ruili Lv,Yuhui Hong,Chenglin Su,Zhengjie Wang,Jiaxuan Zhu,Ruirui Yang,Ruiming Wang,Yan Li,Jun Meng,Yushi Luan
出处
期刊:Plant Journal [Wiley]
卷期号:121 (4): e70007-e70007 被引量:17
标识
DOI:10.1111/tpj.70007
摘要

Tomato is a horticultural crop of global significance. However, the pathogen Phytophthora infestans causing the late blight disease imposes a severe threat to tomato production and quality. Many transcription factors (TFs) are known to be involved in responses to plant pathogens, however, the key TFs in tomato resistant to P. infestans remain to be explored. Here, we identified six TFs related to tomato responses to P. infestans infection. In particular, we found overexpression of SlKUA1 could significantly improve tomato resistance to P. infestans; moreover, reactive oxygen species (ROS) accumulation was significantly increased in OE-SlKUA1 compared with WT after P. infestans infection along with higher expression of SlRBOHD. Surprisingly, we found that SlKUA1 could not bind to the promoter of SlRBOHD. Further experiments revealed that SlKUA1 inhibited the expression of SlPrx1 by binding to its promoter region, thereby decreasing POD enzyme abundance and causing compromised ROS scavenge. Meanwhile, we identified that SlKUA1 also binds to the promoter region of two plant immune-related genes, SlMAPK7 and SlRLP4, promoting their expression and enhancing tomato disease resistance. Together, our results have unraveled that SlKUA1 can boost tomato resistance against P. infestans through quantitatively regulating ROS accumulation and related immune gene expression, thus, providing promising new targets for breeding late blight resistance tomatoes.
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
AlanAki发布了新的文献求助10
刚刚
1秒前
喵miao发布了新的文献求助10
1秒前
rourou完成签到,获得积分10
1秒前
1秒前
Owen应助大胆眼睛采纳,获得10
2秒前
123发布了新的文献求助10
2秒前
lxx完成签到,获得积分10
2秒前
2秒前
HeAuBook发布了新的文献求助10
2秒前
Akim应助Dream采纳,获得10
2秒前
图图to发布了新的文献求助10
3秒前
3秒前
硝基完成签到,获得积分10
3秒前
星辰大海应助MF采纳,获得10
4秒前
lemon发布了新的文献求助20
4秒前
清秀雁菡完成签到,获得积分10
4秒前
4秒前
SciGPT应助Lida采纳,获得10
5秒前
人间小布丁完成签到,获得积分10
5秒前
5秒前
5秒前
hj1234完成签到,获得积分10
5秒前
Lychee完成签到,获得积分10
5秒前
淡然迎波完成签到,获得积分10
6秒前
chen发布了新的文献求助10
6秒前
Djejnd完成签到,获得积分10
6秒前
7秒前
风不绝发布了新的文献求助10
7秒前
香蕉觅云应助淡然绾绾采纳,获得10
7秒前
今后应助春风凉嗖嗖采纳,获得10
7秒前
whisky完成签到,获得积分10
7秒前
8秒前
Orange应助感人的心采纳,获得10
8秒前
元宝芒果黑虎完成签到,获得积分20
8秒前
苗苗发布了新的文献求助10
9秒前
Daniel2010完成签到,获得积分10
9秒前
9秒前
zaiz发布了新的文献求助10
9秒前
大个应助沉静的灵松采纳,获得10
9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
Römisch-Germanische Forschungen 1000
Social Psychology (第二版) 700
China Pluperfect I: Epistemology of Past and Outside in Chinese Art 520
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
The fast track to determining transfer functions of linear circuits: The student guide 500
The Analytical and Numerical Solution of Electric and Magnetic Fields 500
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 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7614084
求助须知:如何正确求助?哪些是违规求助? 9189528
关于积分的说明 19689161
捐赠科研通 7186960
什么是DOI,文献DOI怎么找? 3271087
关于科研通互助平台的介绍 2434460
邀请新用户注册赠送积分活动 2266011