数字农科院2.0

A high-resolution genotype–phenotype map identifies the TaSPL17 controlling grain number and size in wheat

文献类型： 外文期刊

作者： Yangyang Liu;Jun Chen;Changbin Yin;Ziying Wang;He Wu;Kuocheng Shen;Zhiliang Zhang;Lipeng Kang;Song Xu;Aoyue Bi;Xuebo Zhao;Daxing Xu;Zhonghu He;Xueyong Zhang;Chenyang Hao;Jianhui Wu;Yan Gong;Xuchang Yu;Zhiwen Sun;Botao Ye;Danni Liu;Lili Zhang;Liping Shen;Yuanfeng Hao;Youzhi Ma;Fei Lu;Zifeng Guo

作者机构：

关键词： Grain number;Grain size;GWAS;TaSPL17;Wheat

期刊名称： Genome Biology

ISSN： 1474-760X

年卷期： 2023 年 24 卷 1 期

页码：

收录情况： SCIE（2023版）

摘要： Background: Large-scale genotype–phenotype association studies of crop germplasm are important for identifying alleles associated with favorable traits. The limited number of single-nucleotide polymorphisms (SNPs) in most wheat genome-wide association studies (GWASs) restricts their power to detect marker-trait associations. Additionally, only a few genes regulating grain number per spikelet have been reported due to sensitivity of this trait to variable environments. Results: We perform a large-scale GWAS using approximately 40 million filtered SNPs for 27 spike morphology traits. We detect 132,086 significant marker-trait associations and the associated SNP markers are located within 590 associated peaks. We detect additional and stronger peaks by dividing spike morphology into sub-traits relative to GWAS results of spike morphology traits. We propose that the genetic dissection of spike morphology is a powerful strategy to detect signals for grain yield traits in wheat. The GWAS results reveal that TaSPL17 positively controls grain size and number by regulating spikelet and floret meristem development, which in turn leads to enhanced grain yield per plant. The haplotypes at TaSPL17 indicate geographical differentiation, domestication effects, and breeding selection. Conclusion: Our study provides valuable resources for genetic improvement of spike morphology and a fast-forward genetic solution for candidate gene detection and cloning in wheat.

分类号：

  • 相关文献

[1]A high-resolution genotype-phenotype map identifies the TaSPL17 controlling grain number and size in wheat. Liu, Yangyang,Chen, Jun,Yin, Changbin,Wang, Ziying,Wu, He,Shen, Kuocheng,Zhang, Zhiliang,Kang, Lipeng,Xu, Song,Bi, Aoyue,Zhao, Xuebo,Xu, Daxing,He, Zhonghu,Zhang, Xueyong,Hao, Chenyang,Wu, Jianhui,Gong, Yan,Yu, Xuchang,Sun, Zhiwen,Ye, Botao,Liu, Danni,Zhang, Lili,Shen, Liping,Hao, Yuanfeng,Ma, Youzhi,Lu, Fei,Guo, Zifeng. 2023

[2]充分发掘保护利用生物多样性;促进农业可持续发展——《生物多样性与小麦改良》简评. 李祥洲. 1997

[3]Fine mapping a domestication-related QTL for spike-related traits in a synthetic wheat. Wang, Jin,Liao, Xiangzheng,Li, Yulian,Zhou, Ronghua,Gao, Lifeng,Jia, Jizeng,Wang, Jin,Yang, Xueju.

[4]Combining QTL mapping and gene co-expression network analysis for prediction of candidate genes and molecular network related to yield in wheat. Wei, Jun,Fang, Yu,Jiang, Hao,Wu, Xing-ting,Zuo, Jing-hong,Xia, Xian-chun,Li, Jin-quan,Stich, Benjamin,Cao, Hong,Liu, Yong-xiu. 2022

[5]Knockout of TaOTUB1 homoeologs in wheat promotes increased grain yield and earlier flowering. Meng Ma,Lijian Guo,Chao Jian,Linnan Wu,Tianxing Zhang,Meng Li,Baowei Wu,Yanyan Zhang,Haixia Peng,Kang Zhang,Xiangli Liu,Genying Li,Ruilian Jing,Huixian Zhao. 2025

[6]Genetic basis of geographical differentiation and breeding selection for wheat plant architecture traits. Yangyang Liu,Kuocheng Shen,Changbin Yin,Xiaowan Xu,Xuchang Yu,Botao Ye,Zhiwen Sun,Jiayu Dong,Aoyue Bi,Xuebo Zhao,Daxing Xu,Zhonghu He,Xueyong Zhang,Chenyang Hao,Jianhui Wu,Ziying Wang,He Wu,Danni Liu,Lili Zhang,Liping Shen,Yuanfeng Hao,Fei Lu,Zifeng Guo. 2023

[7]Wheat breeding history reveals synergistic selection of pleiotropic genomic sites for plant architecture and grain yield. Aili Li,Chenyang Hao,Zhenyu Wang,Shuaifeng Geng,Meiling Jia,Fang Wang,Xiang Han,Xingchen Kong,Lingjie Yin,Shu Tao,Zhongyin Deng,Ruyi Liao,Guoliang Sun,Ke Wang,Xingguo Ye,Chengzhi Jiao,Hongfeng Lu,Yun Zhou,Dengcai Liu,Xiangdong Fu,Xueyong Zhang,Long Mao. 2022

[8]Fast integration and accumulation of beneficial breeding alleles through an AB-NAMIC strategy in wheat. Jiao, Chengzhi,Hao, Chenyang,Li, Tian,Bohra, Abhishek,Wang, Lanfen,Hou, Jian,Liu, Hongxia,Liu, Hong,Zhao, Jing,Wang, Yamei,Liu, Yunchuan,Wang, Zhiwei,Jing, Xin,Wang, Xiue,Varshney, Rajeev K.,Fu, Junjie,Zhang, Xueyong. 2023

[9]Genome-Wide Association Study Uncover the Genetic Architecture of Salt Tolerance-Related Traits in Common Wheat (Triticum aestivum L.). Xiaoyan Quan,Jindong Liu,Ning Zhang,Chunjuan Xie,Hongmei Li,Xianchun Xia,Wenxing He,Yuxiang Qin. 2021

[10]Genome-Wide Association Study Uncover the Genetic Architecture of Salt Tolerance-Related Traits in Common Wheat (Triticum aestivum L.). Xiaoyan Quan,Jindong Liu,Ning Zhang,Chunjuan Xie,Hongmei Li,Xianchun Xia,Wenxing He,Yuxiang Qin. 2021

[11]Identification of Genetic Loci on Chromosome 4B for Improving the Grain Number per Spike in Pre-Breeding Lines of Wheat. Jinpeng Zhang,Qifu Yao,Ruixin Li,Yuqing Lu,Shenghui Zhou,Haiming Han,Weihua Liu,Xiuquan Li,Xinming Yang,Lihui Li. 2022

[12]Genome-wide association study for phosphate responsive root hair length and density in bread wheat. Saman Maqbool,Fatima Saeed,Ammarah Maqbool,Muhammad Ibrar Khan,Mohsin Ali,Awais Rasheed,Xianchun Xia,Zhonghu He. 2023

[13]Genome wide association and haplotype analyses for the crease depth trait in bread wheat (Triticum aestivum L.). Chengxiang Song,Kaidi Xie,Xin Hu,Zhihua Zhou,Ankui Liu,Yuwei Zhang,Jiale Du,Jizeng Jia,Lifeng Gao,Hailiang Mao. 2023

[14]A genome-wide association study identifies novel QTL for wheat yield stability under drought stress. Xiaoqiang Liu,Zhaolin Yang,Wenjia Hu,Sitong Liu,Runze Sun,Songsong Jin,Khandmaa Nergui,Guangyao Zhao,Lifeng Gao,Yongxiu Liu,Xin Deng. 2024

[15]TabHLH27 orchestrates root growth and drought tolerance to enhance water use efficiency in wheat. Wang, Dongzhi,Zhang, Xiuxiu,Cao, Yuan,Batool, Aamana,Xu, Yongxin,Qiao, Yunzhou,Li, Yongpeng,Wang, Hao,Lin, Xuelei,Bie, Xiaomin,Zhang, Xiansheng,Jing, Ruilian,Dong, Baodi,Tong, Yiping,Teng, Wan,Liu, Xigang,Xiao, Jun. 2024

[16]Genome-wide association analysis of wheat stem traits using 55K microarrays. Wei Wang,Na Sun,Kai Zhao,Ji Kun Song,Hui Fang,Guiqiang Fan,Yonghong Gao,Tianrong Huang,Yindeng Ding. 2025

[17]The pan-NLRome and diversity of Watkins wheat provide genetic resources for improving disease resistance and adaptation. Weidong Ning,Zhiye Ye,Shaojie Ye,Wenfei Xian,Tanrui Zou,Zijian Liu,Wenzheng Wang,Baizhi Chen,Weibo Xie,Shifeng Cheng,Bo Song. 2025

[18]Genome-Wide Identification of Wheat Gene Resources Conferring Resistance to Stripe Rust. Ma, Qiaoyun,Yan, Dong,Pang, Binshuang,Bai, Jianfang,Yang, Weibing,Gao, Jiangang,Chen, Xianchao,Hou, Qiling,Zhang, Honghong,Tian, Li,Li, Yahui,Jia, Jizeng,Zhang, Lei,Chen, Zhaobo,Gao, Lifeng,Liao, Xiangzheng. 2025

[19]Identification of natural allelic variation in TTL1 controlling thermotolerance and grain size by a rice super pan-genome. Lin, Yarong,Zhu, Yiwang,Cui, Yuchao,Qian, Hongge,Yuan, Qiaoling,Chen, Rui,Lin, Yan,Chen, Jianmin,Zhou, Xishi,Shi, Chuanlin,He, Huiying,Hu, Taijiao,Gu, Chenbo,Yu, Xiaoman,Zhu, Xiying,Wang, Yuexing,Qian, Qian,Zhang, Cuijun,Wang, Feng,Shang, Lianguang. 2023

[20]30个小麦新品系抗条锈病基因分析及成株期抗病性评价. 冯晶,蔺瑞明,林凤,徐世昌. 2013

作者其他论文 更多>>