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Identification of two novel rice S genes through combination of association and transcription analyses with gene-editing technology

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成果类型:
期刊论文
作者:
Xu, Yuchen;Bai, Lu;Liu, Minghao;Liu, Yanchen;Peng, Shasha;...
通讯作者:
Houxiang Kang<&wdkj&>Houxiang Kang Houxiang Kang Houxiang Kang
作者机构:
[Xiang, Wensheng; Xu, Yuchen; Liu, Shiming; Ning, Yuese; Liu, Qi; Hu, Pei; Peng, Shasha; Liu, Yanchen; Wang, Xuli; Bai, Lu; Liu, Minghao; Kang, Houxiang] Chinese Acad Agr Sci, Inst Plant Protect, State Key Lab Biol Plant Dis & Insect Pests, Beijing, Peoples R China.
[Xu, Yuchen; Wang, Dan; Peng, Shasha] Hunan Agr Univ, Coll Agron, Hunan Prov Key Lab Crop Germplasm Innovat & Utiliz, Changsha, Hunan, Peoples R China.
[Yan, Shuangyong] Tianjin Acad Agr Sci, Tianjin Crop Res Inst, Tianjin Key Lab Crop Genet Breeding, Tianjin, Peoples R China.
[Gao, Lijun] Guangxi Acad Agr Sci, Guangxi Crop Genet Improvement & Biotechnol Lab, Nanning, Peoples R China.
[Zuo, Shimin] Agr Coll Yangzhou Univ, Key Lab Plant Funct Genom Minist Educ, Jiangsu Key Lab Crop Genom & Mol Breeding, Yangzhou, Peoples R China.
通讯机构:
[Houxiang Kang; Houxiang Kang Houxiang Kang Houxiang Kang] S
State Key Laboratory for Biology of Plant Diseases and Insect Pests, Institute of Plant Protection, Chinese Academy of Agricultural Sciences, Beijing, China
语种:
英文
关键词:
3′-UTR;CRISPR/Cas9 technology;domestication;genome-wide association study;rice blast resistance;susceptibility genes
期刊:
Plant Biotechnology Journal
ISSN:
1467-7644
年:
2023
卷:
21
期:
8
页码:
1628-1641
基金类别:
National Natural Science Foundation of China [32261143468, 31860370]; International Science and Technology Innovation Program of Chinese Academy of Agricultural Sciences (CAASTIP) [CAAS-ZDRW202108]
机构署名:
本校为其他机构
院系归属:
农学院
摘要:
Traditional rice blast resistance breeding largely depends on utilizing typical resistance (R) genes. However, the lack of durable R genes has prompted rice breeders to find new resistance resources. Susceptibility (S) genes are potential new targets for resistance genetic engineering using genome-editing technologies, but identifying them is still challenging. Here, through the integration of genome-wide association study (GWAS) and transcriptional analysis, we identified two genes, RNG1 and RNG3, whose polymorphisms in 3'-untranslated regions (3'-UTR) affected their expression variations. Th...

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