Genome editing of a rice CDP-DAG synthase confers multipathogen resistance

生物 基因组编辑 水稻 基因 突变体 遗传学 人口 植物抗病性 基因组 突变 医学 环境卫生
作者
Gan Sha,Peng Sun,Xiaojing Kong,Xinyu Han,Qiping Sun,Laëtitia Fouillen,Juan Zhao,Yun Li,Lei Yang,Wang Yin,Qiuwen Gong,Yaru Zhou,Wenqing Zhou,Rashmi Jain,Jie Gao,Renliang Huang,Xiaoyang Chen,Lu Zheng,Wanying Zhang,Ziting Qin
出处
期刊:Nature [Nature Portfolio]
卷期号:618 (7967): 1017-1023 被引量:175
标识
DOI:10.1038/s41586-023-06205-2
摘要

The discovery and application of genome editing introduced a new era of plant breeding by giving researchers efficient tools for the precise engineering of crop genomes1. Here we demonstrate the power of genome editing for engineering broad-spectrum disease resistance in rice (Oryza sativa). We first isolated a lesion mimic mutant (LMM) from a mutagenized rice population. We then demonstrated that a 29-base-pair deletion in a gene we named RESISTANCE TO BLAST1 (RBL1) caused broad-spectrum disease resistance and showed that this mutation caused an approximately 20-fold reduction in yield. RBL1 encodes a cytidine diphosphate diacylglycerol synthase that is required for phospholipid biosynthesis2. Mutation of RBL1 results in reduced levels of phosphatidylinositol and its derivative phosphatidylinositol 4,5-bisphosphate (PtdIns(4,5)P2). In rice, PtdIns(4,5)P2 is enriched in cellular structures that are specifically associated with effector secretion and fungal infection, suggesting that it has a role as a disease-susceptibility factor3. By using targeted genome editing, we obtained an allele of RBL1, named RBL1Δ12, which confers broad-spectrum disease resistance but does not decrease yield in a model rice variety, as assessed in small-scale field trials. Our study has demonstrated the benefits of editing an LMM gene, a strategy relevant to diverse LMM genes and crops.
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
欣怡发布了新的文献求助10
刚刚
2秒前
2秒前
zh发布了新的文献求助30
3秒前
3秒前
流浪发布了新的文献求助10
3秒前
Owen应助CHBW采纳,获得10
5秒前
5秒前
搜集达人应助科研通管家采纳,获得10
6秒前
华仔应助科研通管家采纳,获得10
6秒前
Lucas应助科研通管家采纳,获得10
7秒前
7秒前
7秒前
CipherSage应助科研通管家采纳,获得10
7秒前
7秒前
TFY完成签到,获得积分10
7秒前
7秒前
7秒前
CipherSage应助科研通管家采纳,获得10
7秒前
在水一方应助科研通管家采纳,获得10
7秒前
7秒前
7秒前
酷波er应助科研通管家采纳,获得10
7秒前
7秒前
jjbl发布了新的文献求助10
8秒前
胡萝卜完成签到,获得积分10
8秒前
陈俊杰发布了新的文献求助10
8秒前
8秒前
8秒前
成功Winy发布了新的文献求助10
8秒前
9秒前
9秒前
9秒前
10秒前
10秒前
11秒前
11秒前
11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 6443673
求助须知:如何正确求助?哪些是违规求助? 8257473
关于积分的说明 17587196
捐赠科研通 5502394
什么是DOI,文献DOI怎么找? 2900959
邀请新用户注册赠送积分活动 1877987
关于科研通互助平台的介绍 1717534