The dynamic arms race during the early invasion of woodland strawberry by Botrytis cinerea revealed by dual dense high-resolution RNA-seq analyses

灰葡萄孢菌 生物 草莓 病菌 转录组 基因 植物 植物对草食的防御 真菌 寄主(生物学) 互补 葡萄球菌炎 微生物学 拟南芥 突变体 基因表达 遗传学
作者
Yibo Bai,Haibin Wang,Kaikai Zhu,Zong-Ming Cheng
出处
期刊:Horticulture research [Springer Nature]
卷期号:10 (12) 被引量:5
标识
DOI:10.1093/hr/uhad225
摘要

Necrotrophic pathogens replicate massively upon colonizing plants, causing large-scale wilting and death of plant tissues. Understanding both mechanisms of pathogen invasion and host response processes prior to symptom appearance and their key regulatory networks is therefore important for defense against pathogen attack. Here, we investigated the mechanisms of interaction between woodland strawberry (Fragaria vesca) leaves and gray mold pathogen (Botrytis cinerea) at 14 infection time points during the first 12 hours of the infection period using a dense, high-resolution time series dual transcriptomic analysis, characterizing the arms race between strawberry F. vesca and B. cinerea before the appearance of localized lesions. Strawberry leaves rapidly initiated strong systemic defenses at the first sign of external stimulation and showed lower levels of transcriptomic change later in the infection process. Unlike the host plants, B. cinerea showed larger-scale transcriptomic changes that persisted throughout the infection process. Weighted gene co-expression network analysis identified highly correlated genes in 32 gene expression modules between B. cinerea and strawberry. Yeast two-hybrid and bimolecular fluorescence complementation assays revealed that the disease response protein FvRLP2 from woodland strawberry interacted with the cell death inducing proteins BcXYG1 and BcPG3 from B. cinerea. Overexpression of FvRLP2 in both strawberry and Arabidopsis inhibited B. cinerea infection, confirming these genes' respective functions. These findings shed light on the arms race process by which B. cinerea invades host plants and strawberry to defend against pathogen infection.

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
1秒前
小孙同学发布了新的文献求助10
1秒前
科科发布了新的文献求助10
1秒前
3秒前
mufeixue发布了新的文献求助10
4秒前
8秒前
科研大捞发布了新的文献求助10
8秒前
Hello应助Mengzhen Du采纳,获得10
8秒前
9秒前
贪玩的蝴蝶完成签到,获得积分10
9秒前
隐形曼青应助han采纳,获得10
9秒前
量子星尘发布了新的文献求助10
10秒前
Tt完成签到,获得积分20
12秒前
ding应助陶醉的大鼻子采纳,获得10
13秒前
13秒前
15秒前
16秒前
情怀应助kokomi采纳,获得10
16秒前
忠一完成签到,获得积分10
16秒前
Jako完成签到 ,获得积分10
19秒前
19秒前
mufeixue发布了新的文献求助10
19秒前
newplayer完成签到 ,获得积分10
20秒前
沉静电灯胆完成签到,获得积分10
20秒前
20秒前
魔幻幻桃发布了新的文献求助10
20秒前
王羲之发布了新的文献求助10
20秒前
20秒前
互助应助chaorenq采纳,获得50
21秒前
21秒前
li完成签到,获得积分10
21秒前
是风动完成签到 ,获得积分10
22秒前
皮皮吧啦完成签到,获得积分10
22秒前
23秒前
23秒前
科科完成签到,获得积分10
24秒前
科研yu发布了新的文献求助10
24秒前
25秒前
Mengzhen Du发布了新的文献求助10
25秒前
26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
Aerospace Standards Index - 2026 ASIN2026 3000
Polymorphism and polytypism in crystals 1000
Signals, Systems, and Signal Processing 610
Discrete-Time Signals and Systems 610
Research Methods for Business: A Skill Building Approach, 9th Edition 500
Social Work and Social Welfare: An Invitation(7th Edition) 410
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 纳米技术 有机化学 物理 生物化学 化学工程 计算机科学 复合材料 内科学 催化作用 光电子学 物理化学 电极 冶金 遗传学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 6048078
求助须知:如何正确求助?哪些是违规求助? 7829869
关于积分的说明 16258510
捐赠科研通 5193436
什么是DOI,文献DOI怎么找? 2778908
邀请新用户注册赠送积分活动 1762211
关于科研通互助平台的介绍 1644460