文献类型： 外文期刊
作者： Wang, Xi 1 ; Li, Juan 1 ; Han, Linqian 1 ; Liang, Chengyong 1 ; Li, Jiaxin 1 ; Shang, Xiaoyang 1 ; Miao, Xinxin 1 ; Luo, Zi 1 ; Zhu, Wanchao 1 ; Li, Zhao 1 ; Li, Tianhuan 1 ; Qi, Yongwen 3 ; Li, Huihui 4 ; Lu, Xiaoduo 5 ; Li, Lin 1 ;
作者机构： 1.Huazhong Agr Univ, Natl Key Lab Crop Genet Improvement, Wuhan 430070, Peoples R China
2.Hubei Hongshan Lab, Wuhan 430070, Peoples R China
3.Zhongkai Univ Agr & Engn, Coll Agr & Biol, Guangzhou 510325, Guangdong, Peoples R China
4.Chinese Acad Agr Sci, Inst Crop Sci, Beijing 100081, Peoples R China
5.Qilu Normal Univ, Inst Mol Breeding Maize, Jinan 250200, Peoples R China
期刊名称：NATURE COMMUNICATIONS （ 影响因子：16.6； 五年影响因子：17.0 ）
ISSN：
年卷期： 2023 年 14 卷 1 期
页码：
收录情况： SCI
摘要： Genetic dissection of agronomic traits is important for crop improvement and global food security. Phenotypic variation of tassel branch number (TBN), a major breeding target, is controlled by many quantitative trait loci (QTLs). The lack of large-scale QTL cloning methodology constrains the systematic dissection of TBN, which hinders modern maize breeding. Here, we devise QTG-Miner, a multi-omics data-based technique for large-scale and rapid cloning of quantitative trait genes (QTGs) in maize. Using QTG-Miner, we clone and verify seven genes underlying seven TBN QTLs. Compared to conventional methods, QTG-Miner performs well for both major- and minor-effect TBN QTLs. Selection analysis indicates that a substantial number of genes and network modules have been subjected to selection during maize improvement. Selection signatures are significantly enriched in multiple biological pathways between female heterotic groups and male heterotic groups. In summary, QTG-Miner provides a large-scale approach for rapid cloning of QTGs in crops and dissects the genetic base of TBN for further maize breeding. The lack of large-scale QTL cloning method hampers systematic dissection of genetic base of quantitative traits. Here, the authors develop a multi-omics data-based technique for large-scale and rapid cloning of quantitative genes of tassel branch number and discovery of selection signatures in maize breeding.
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