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Genomic investigation of 18,421 lines reveals the genetic architecture of rice

文献类型: 外文期刊

作者: Wei, Xin 1 ; Chen, Mengjiao 1 ; Zhang, Qi 1 ; Gong, Junyi 2 ; Liu, Jie 1 ; Yong, Kaicheng 1 ; Wang, Qin 1 ; Fan, Jiongjiong 2 ; Chen, Suhui 1 ; Hua, Hua 1 ; Luo, Zhaowei 1 ; Zhao, Xiaoyan 1 ; Wang, Xuan 1 ; Li, Wei 1 ; Cong, Jia 1 ; Yu, Xiting 1 ; Wang, Zhihan 1 ; Huang, Ruipeng 1 ; Chen, Jiaxin 1 ; Zhou, Xiaoyi 1 ; Qiu, Jie 1 ; Xu, Ping 1 ; Murray, Jeremy 3 ; Wang, Hai 4 ; Xu, Yang 5 ; Xu, Chenwu 5 ; Xu, Gen 6 ; Yang, Jinliang 6 ; Han, Bin 3 ; Huang, Xuehui 1 ;

作者机构: 1.Shanghai Normal Univ, Coll Life Sci, Dev Ctr Plant Germplasm Resources, Shanghai Key Lab Plant Mol Sci, Shanghai 200234, Peoples R China

2.Chinese Acad Agr Sci, China Natl Rice Res Inst, State Key Lab Rice Biol & Breeding, Hangzhou 310006, Peoples R China

3.Chinese Acad Sci, CAS Ctr Excellence Mol Plant Sci, Shanghai 200233, Peoples R China

4.China Agr Univ, Coll Agron & Biotechnol, State Key Lab Plant Physiol & Biochem, Beijing 100193, Peoples R China

5.Yangzhou Univ, Coll Agr, Key Lab Plant Funct Genom, Minist Educ, Yangzhou 225009, Peoples R China

6.Univ Nebraska Lincoln, Dept Agron & Hort, Lincoln, NE 68583 USA

期刊名称:SCIENCE ( 影响因子:45.8; 五年影响因子:49.7 )

ISSN: 0036-8075

年卷期: 2024 年 385 卷 6704 期

页码:

收录情况: SCI

摘要: Understanding how numerous quantitative trait loci (QTL) shape phenotypic variation is an important question in genetics. To address this, we established a permanent population of 18,421 (18K) rice lines with reduced population structure. We generated reference-level genome assemblies of the founders and genotyped all 18K-rice lines through whole-genome sequencing. Through high-resolution mapping, 96 high-quality candidate genes contributing to variation in 16 traits were identified, including OsMADS22 and OsFTL1 verified as causal genes for panicle number and heading date, respectively. We identified epistatic QTL pairs and constructed a genetic interaction network with 19 genes serving as hubs. Overall, 170 masking epistasis pairs were characterized, serving as an important factor contributing to genetic background effects across diverse varieties. The work provides a basis to guide grain yield and quality improvements in rice.

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