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Large-scale genomic and phenomic analyses of modern cultivars empower future rice breeding design

文献类型: 外文期刊

作者: Ma, Xiaoding 1 ; Wang, Hao 1 ; Yan, Shen 1 ; Zhou, Chuanqing 1 ; Zhou, Kunneng 3 ; Zhang, Qiang 4 ; Li, Maomao 5 ; Yang, Yaolong 6 ; Li, Danting 7 ; Song, Peng 8 ; Tang, Cuifeng 9 ; Geng, Leiyue 10 ; Sun, Jianchang 11 ; Ji, Zhiyuan 1 ; Sun, Xianjun 1 ; Zhou, Yongli 1 ; Zhou, Peng 1 ; Cui, Di 1 ; Han, Bing 1 ; Jing, Xin 2 ; He, Qiang 1 ; Fang, Wei 1 ; Han, Longzhi 1 ;

作者机构: 1.Chinese Acad Agr Sci, Inst Crop Sci, State Key Lab Crop Gene Resources & Breeding, Beijing 100081, Peoples R China

2.Smartgen Technol Inst, Tianjin 301700, Peoples R China

3.Anhui Acad Agr Sci, Rice Res Inst, Anhui Prov Key Lab Rice Germplasm Innovat & Mol Im, Hefei 230031, Peoples R China

4.Jilin Acad Agr Sci, Rice Res Inst, Jilin Prov Lab Crop Germplasm Resources, Changchun 136100, Peoples R China

5.Jiangxi Acad Agr Sci, Rice Res Inst, Jiangxi Res Ctr Crop Germplasm Resources, Natl Engn Lab Rice Nanchang, Nanchang 330200, Peoples R China

6.China Natl Rice Res Inst, State Key Lab Rice Biol & Breeding, Hangzhou 310006, Peoples R China

7.Guangxi Acad Agr Sci, Rice Res Inst, Guangxi Key Lab Rice Genet & Breeding, Nanning 530007, Peoples R China

8.Huazhong Agr Univ, Coll Plant Sci & Technol, Natl Key Lab Crop Genet Improvement, Wuhan 430070, Peoples R China

9.Yunnan Acad Agr Sci, Biotechnol & Germplasm Resources Inst, Key Lab Southwestern Crop Gene Resources & Germpla, Minist Agr, Kunming 620205, Peoples R China

10.Hebei Acad Agr & Forestry Sci, Inst Coastal Agr, Tangshan 063300, Peoples R China

11.Ningxia Acad Agr & Forestry Sci, Inst Crop Sci, Yinchuan 750002, Peoples R China

关键词: modern rice cultivars; genomic bases; rice-growing regions; breeding design

期刊名称:MOLECULAR PLANT ( 影响因子:24.1; 五年影响因子:25.8 )

ISSN: 1674-2052

年卷期: 2025 年 18 卷 4 期

页码:

收录情况: SCI

摘要: Modern cultivated rice plays a pivotal role in global food security. China accounts for nearly 30% of the world's rice production and has developed numerous cultivated varieties over the past decades that are well adapted to diverse growing regions. However, the genomic bases underlying the phenotypes of these modern cultivars remain poorly characterized, limiting the exploitation of this vast resource for breeding specialized, regionally adapted cultivars. In this study, we constructed a comprehensive genetic variation map of modern rice using resequencing datasets from 6044 representative cultivars from five major rice-growing regions in China. Our genomic and phenotypic analyses of this diversity panel revealed regional preferences for specific genomic backgrounds and traits, such as heading date, biotic/abiotic stress resistance, and grain shape, which are crucial for adaptation to local conditions and consumer preferences. We identified 3131 quantitative trait loci associated with 53 phenotypes across 212 datasets under various environmental conditions through genome-wide association studies. Notably, we cloned and functionally verified a novel gene related to grain length, OsGL3.6. By integrating multiple datasets, we developed RiceAtlas, a versatile multi-scale toolkit for rice breeding design. We successfully utilized the RiceAtlas breeding design function to rapidly improve the grain shape of the Suigeng4 cultivar. These valuable resources enhance our understanding of the adaptability and breeding requirements of modern rice and can facilitate advances in future rice-breeding initiatives.

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