The allelic distribution and variation analysis of the NAM-B1 gene in Chinese wheat cultivars

文献类型： 外文期刊

第一作者： Chen Xue-yan

作者： Chen Xue-yan;Ji Wan-quan;Chen Xue-yan;Song Guo-qi;Zhang Shu-juan;Li Yu-lian;Gao Jie;Li Gen-ying;Shahidul, Islam;Ma Wu-jun;Shahidul, Islam;Ma Wu-jun

作者机构：

关键词： NAM-B1 allele;variations;Chinese wheat cultivars;grain protein content

期刊名称：JOURNAL OF INTEGRATIVE AGRICULTURE （ 影响因子：2.848； 五年影响因子：2.979 ）

ISSN： 2095-3119

年卷期： 2017 年 16 卷 6 期

页码：

收录情况： SCI

摘要： The NAM-B1 gene is a member of the NAC (NAM, ATAF, and CUC) transcription factor family and plays an important role in regulating wheat grain protein content (GPC). The ancestral NAM-B1 allele has been discovered in many tetraploid wild emmer (Triticum turgidum ssp. dicoccoides) accessions and few domesticated emmer accessions (T turgidum ssp. dicoccum), however, it is rarely found in hexaploid bread wheat (Triticum aestivum L.). There are no systematic reports on the distribution of NAM-B1 alleles in Chinese wheat cultivars. In this study, the NAM-B1 alleles in 218 Chinese cultivars were investigated. The cultivars were collected from five major wheat regions (12 provinces), covering most of the winter wheat growing regions in China. The results showed that the NAM-B1 gene is present in 53 (24.3%) cultivars and absent in the remaining 165 (75.7%) cultivars. Further analysis revealed that in contrast to the wild-type allele, the NAM-B1 gene in Chinese wheat cultivars contained a 1-bp insertion in the coding region. This caused a frame-shift mutation and introduced a stop codon in the middle of the gene, rendering it non-functional. Polymorphisms were detected in DNA sequences of 21 cultivars among these 53 cultivars. However, cDNA sequence analysis suggested that these variations in the exon region were not able to restore NAM-B1 gene (1-bp insertion) function. Thus, exploring the distribution of NAM-B1 gene variations (1-bp insertion and deletion) can provide some information for improving the quality of winter wheat in China and other countries.

分类号：

  • 相关文献

[1]Haynaldia villosa NAM-V1 is linked with the powdery mildew resistance gene Pm21 and contributes to increasing grain protein content in wheat. Zhao, Chuanzhi,Lv, Xindi,Li, Yinghui,Li, Feng,Geng, Miaomiao,Mi, Yangyang,Ni, Zhongfu,Xie, Chaojie,Sun, Qixin,Zhao, Chuanzhi,Lv, Xindi,Li, Yinghui,Li, Feng,Geng, Miaomiao,Mi, Yangyang,Ni, Zhongfu,Xie, Chaojie,Sun, Qixin,Zhao, Chuanzhi. 2016

[2]EFFECTS OF REGULATED DEFICIT IRRIGATION ON GRAIN YIELD AND QUALITY TRAITS IN WINTER WHEAT. Meng, Zhaojiang,Duan, Aiwang,Gao, Yao,Wang, Xiaosen,Shen, Xiaojun,Dassanayake, Kithsiri Bandara,Chen, Deli.

[3]Conditional QTL mapping of protein content in wheat with respect to grain yield and its components. Wang, Lin,Cui, Fa,Jun, Li,Ding, Anming,Zhao, Chunhua,Li, Xingfeng,Feng, Deshun,Gao, Jurong,Wang, Honggang,Wang, Lin,Wang, Jinping,Cui, Fa,Zhao, Chunhua,Jun, Li,Ding, Anming.

[4]Mapping quantitative trait loci for quality factors in an inter-class cross of US and Chinese wheat. Bai, Guihua,Sun, Xiaochun,Marza, Felix,Carver, Brett F.,Ma, Hongxiang.

[5]Estimating Wheat Grain Protein Content Using Multi-Temporal Remote Sensing Data Based on Partial Least Squares Regression. Li Cun-jun,Wang Ji-hua,Wang Qian,Wang Da-cheng,Song Xiao-yu,Wang Yan,Huang Wen-jiang,Li Cun-jun,Wang Ji-hua,Huang Wen-jiang. 2012

[6]Assimilation of Two Variables Derived from Hyperspectral Data into the DSSAT-CERES Model for Grain Yield and Quality Estimation. Li, Zhenhai,Xu, Xingang,Zhao, Chunjiang,Yang, Guijun,Feng, Haikuan,Li, Zhenhai,Xu, Xingang,Zhao, Chunjiang,Yang, Guijun,Feng, Haikuan,Li, Zhenhai,Wang, Jihua,Wang, Jihua,Xu, Xingang,Zhao, Chunjiang,Yang, Guijun,Feng, Haikuan,Xu, Xingang,Zhao, Chunjiang,Yang, Guijun,Feng, Haikuan,Jin, Xiuliang. 2015

[7]Estimating wheat grain protein content from ground-based hyperspectral data using an improved detecting method. Lu, YL,Li, SK,Xie, RZ,Gao, SJ,Wang, KR,Wang, G,Xiao, CH. 2005

[8]Wheat Grain Protein Content Estimation Based on Multi-temporal Remote Sensing Data and Generalized Regression Neural Network. Li, Cunjun,Wang, Qian,Wang, Jihua,Wang, Yan,Yang, Xiaodong,Song, Xiaoyu,Huang, Wenjiang. 2012

[9]Estimation of Grain Protein Content in Winter Wheat by Using Three Methods with Hyperspectral Data. Xiu-liang Jin,Wang, Ji-hua,Xiu-liang Jin,Xin-gang Xu,Hai-kuan Feng,Xiao-yu Song,Qian Wang,Xiu-liang Jin,Xin-gang Xu,Hai-kuan Feng,Xiao-yu Song,Qian Wang,Xiu-liang Jin,Wang, Ji-hua,Guo, Wen-shan. 2014

[10]GENETIC ANALYSIS OF THE GRAIN PROTEIN CONTENT IN SOFT RED WINTER WHEAT (Triticum aestivum L.). Yao, Jinbao,Ma, Hongxiang,Yang, Xueming,Zhou, Miaoping,Yang, Dan. 2014

[11]Study on Predicting Protein Content of Wheat Seeds by Using Wheat Leaves SPAD Value. Gao Fei,Xiao Jing,Gu Yun-hong,Zhen, Jiao,Jin Qing-sheng. 2012

[12]Genetic Variation of High Molecular Weight Glutenin Subunits in Wheat Accessions in China. Guo, Xiaomin,Li, Hongqin,Xiang, Jishan,Xu, Xin,Liu, Weihua,Gao, Ainong,Yang, Xinming,Li, Xiuquan,Li, Lihui,Wang, Ruihui.

[13]Remobilization of vegetative nitrogen to developing grain in wheat (Triticum aestivum L.). Kong, Lingan,Xie, Yan,Hu, Ling,Feng, Bo,Li, Shengdong.

[14]Estimating wheat yield and quality by coupling the DSSAT-CERES model and proximal remote sensing. Li, Zhenhai,Jin, Xiuliang,Zhao, Chunjiang,Xu, Xingang,Yang, Guijun,Li, Cunjun,Shen, Jiaxiao,Li, Zhenhai,Jin, Xiuliang,Zhao, Chunjiang,Xu, Xingang,Yang, Guijun,Li, Cunjun,Shen, Jiaxiao,Zhao, Chunjiang,Zhao, Chunjiang,Li, Zhenhai,Wang, Jihua,Wang, Jihua,Shen, Jiaxiao.

[15]Molecular genetic analysis of grain protein content and flour whiteness degree using RILs in common wheat. Sun, Xianyin,Wu, Ke,Qian, Zhaoguo,Sun, Xianyin,Zhao, Yan,Kong, Fanmei,Guo, Ying,Li, Sishen,Wang, Yingying.

作者其他论文 更多>>

微信小程序