文献类型: 外文期刊
作者: Zhao, Dehui 1 ; Zeng, Jianqi 2 ; Jin, Hui 5 ; Liu, Dan 2 ; Yang, Li 6 ; Xia, Xianchun 2 ; Tian, Yubing 2 ; Zhang, Yan 2 ; Cao, Shuanghe 2 ; Zhu, Wei 7 ; Wang, Chunping 1 ; He, Zhonghu 2 ; Liu, Jindong 2 ; Zhang, Yong 2 ;
作者机构: 1.Henan Univ Sci & Technol, Coll Agr, Anal & Testing Ctr, 263 Kaiyuan Ave, Luoyang 471000, Henan, Peoples R China
2.Chinese Acad Agr Sci CAAS, Inst Crop Sci, Natl Wheat Improvement Ctr, State Key Lab Crop Gene Resources & Breeding, 12 Zhongguancun South St, Beijing 100081, Peoples R China
3.Shennong Lab, Zhengzhou, Henan, Peoples R China
4.Chinese Acad Agr Sci CAAS, Zhongyuan Res Ctr, Xinxiang 453519, Henan, Peoples R China
5.Heilongjiang Acad Agr Sci, Sino Russia Agr Sci & Technol Cooperat Ctr, 368 Xuefu St, Harbin 150086, Heilongjiang, Peoples R China
6.Luoyang Acad Agr & Forestry Sci, 1 Nongke St, Luoyang 471022, Henan, Peoples R China
7.Shangqiu Acad Agr & Forestry Sci, Suihuang Lab, Shangqiu 476000, Henan, Peoples R China
8.CAAS, CIMMYT China Off, 12 Zhongguancun South St, Beijing 100081, Peoples R China
期刊名称:THEORETICAL AND APPLIED GENETICS ( 影响因子:4.2; 五年影响因子:4.9 )
ISSN: 0040-5752
年卷期: 2024 年 137 卷 12 期
页码:
收录情况: SCI
摘要: Key messageA major stable QTL, QGPC.caas-7AL, for grain protein content of wheat, was narrowed down to a 1.82-Mb inter on chromosome 7AL, and four candidate genes were predicated.AbstractWheat grain protein content (GPC) is important for end-use quality. Identification of genetic loci for GPC is helpful to create new varieties with good processing quality and nutrients. Zhongmai 578 (ZM578) and Jimai 22 (JM22) are two elite wheat varieties with different contents of GPC. In the present study, 262 recombinant inbred lines (RILs) derived from a cross between ZM578 and JM22 were used to map the GPC with high-density wheat Illumina iSelect 50 K single-nucleotide polymorphism (SNP) array. Seven quantitative trait loci (QTLs) were identified for GPC on chromosomes 3AS, 3AL, 3BS, 4AL, 5BS, 5DL and 7AL by inclusive composite interval mapping, designated as QGPC.caas-3AS, QGPC.caas-3AL, QGPC.caas-3BS, QGPC.caas-4AL, QGPC.caas-5BS, QGPC.caas-5DL and QGPC.caas-7AL, respectively. Among these, alleles for increasing GPC at QGPC.caas-3AS, QGPC.caas-3BS, QGPC.caas-4AL and QGPC.caas-7AL loci were contributed by ZM578, whereas those at the other three loci were from JM22. The stable QTL QGPC.caas-7AL was fine mapped to a 1.82-Mb physical interval using secondary populations from six heterozygous recombinant plants obtained by selfing a residual RIL. Four genes were predicted as candidates of QGPC.caas-7AL based on sequence polymorphism and expression patterns. The near-isogenic lines (NILs) with the favorable allele at the QGPC.caas-7AL locus increased Farinograph stability time, Extensograph extension area, extensibility and maximum resistance by 19.6%, 6.3%, 6.0% and 20.3%, respectively. Kompetitive allele-specific PCR (KASP) marker for QGPC.caas-7AL was developed and validated in a diverse panel of 166 Chinese wheat cultivars. These results provide further insight into the genetic basis of GPC, and the fine-mapped QGPC.caas-7AL will be an attractive target for map-based cloning and marker-assisted selection in wheat breeding programs.
- 相关文献
作者其他论文 更多>>
-
A comparison of Chinese soybean collection with European soybean collections on genetic diversity by genome-wide scan
作者:Xu, Jiangyuan;Lu, Yuqing;Gu, Yongzhe;Gao, Huawei;Liu, Zhangxiong;Qiu, Lijuan;Yao, Xindong;Yao, Xindong;Leopold, Rittler;Yuan, Ming;Zhang, Yong;Sun, Rujian;Xue, Yongguo;Liu, Yeli;Han, Dezhi;Wang, Jinxing;Qiu, Lijuan
关键词:Chinese soybean; European soybean; Genetic diversity; Selective sweep analysis; Selected region
-
Soybean yield estimation and lodging classification based on UAV multi-source data and self-supervised contrastive learning
作者:Zhou, Longyu;Chen, Haochong;Feng, Puyu;Ma, Yuntao;Zhang, Yong;Wang, Lei;Li, Mingxue;Sun, Xuhong;Sun, Guangyao;Yan, Long;Qiu, Lijuan;Li, Yinghui
关键词:Remote sensing; 3D reconstruction; Point cloud; Multispectral; Structure from motion
-
Bridging the gap between hyperspectral imaging and crop breeding: soybean yield prediction and lodging classification with prototype contrastive learning
作者:Sun, Guangyao;Han, Shiteng;Xu, Yun;Ma, Yuntao;Zhang, Yong;Wang, Lei;Zhou, Longyu;Fei, Shuaipeng;Xiao, Shunfu;Ma, Yuntao;Yan, Long;Che, Yingpu;Li, Yinghui;Qiu, Lijuan
关键词:Unmanned Aerial Vehicle; Deep Learning; Resnet; Soybean Yield and Lodging Prediction
-
Volatilomic profiling of controlled atmosphere stored blue honeysuckle fruit using GC-MS, E-nose, and GC-IMS
作者:Huo, Junwei;Sui, Xiaonan;Zhang, Yan;Huo, Junwei;Zhang, Yan;Xiao, Zhen;Sun, Jinhui;Huo, Junwei;Zhang, Yan;Sui, Xiaonan;Lan, Yaqi;Jing, Qiuju;Xie, Shuangyu;Che, Jianing
关键词:Haskap fruits; Postharvest; Volatiles; GC-MS; GC-IMS
-
Characterization of a Natural Accession of Elymus sibiricus with In Situ Hybridization and Agronomic Evaluation
作者:Liu, Yizhuo;Ding, Jiarui;Wu, Chunfei;Song, Weiwei;Zhao, Xinyu;Li, Mingyao;Yan, Xinyu;Zhu, Liangyu;Bao, Yaqi;Liu, Dianhao;Li, Xinling;Zhang, Yanming;Zhao, Haibin;Jin, Hui;Zhang, Rui;Qu, Yunfeng;Li, Hongjie;Cui, Lei
关键词:
Elymus ; smGISH; karyotype; chromosome; cold-hardiness -
Soybean Lodging Classification and Yield Prediction Using Multimodal UAV Data Fusion and Deep Learning
作者:Xu, Xingmei;Fang, Yushi;Yu, Helong;Ma, Yuntao;Sun, Guangyao;Guo, Yan;Ma, Yuntao;Zhang, Yong;Wang, Lei;Chen, Chen;Ren, Lisuo;Meng, Lei;Li, Yinghui;Qiu, Lijuan
关键词:UAV; deep learning; lodging classification; yield; data fusion
-
Loss of phytochromobilin synthase activity leads to larger seeds with higher protein content in soybean
作者:Su, Xin;Han, Ying-Peng;Su, Xin;Hong, Hui-Long;Qiu, Li-juan;Wang, Hao-Rang;Zhang, Yong;Sun, Xu-hong;Wang, Lei;Song, Ji-Ling;Yang, Meng-Ping;Yang, Xing-Yong
关键词:GmYGL2; QTL; Seed size; Seed weight; Soybean



