Literature DB >> 26660466

QTL detection for wheat kernel size and quality and the responses of these traits to low nitrogen stress.

Fa Cui1,2, Xiaoli Fan3,4, Mei Chen5,6, Na Zhang5,6, Chunhua Zhao5,7, Wei Zhang5,7, Jie Han5,6, Jun Ji5,7, Xueqiang Zhao8,7, Lijuan Yang9, Zongwu Zhao9, Yiping Tong8,7, Tao Wang10, Junming Li11,12.   

Abstract

KEY MESSAGE: QTLs for kernel characteristics and tolerance to N stress were identified, and the functions of ten known genes with regard to these traits were specified. Kernel size and quality characteristics in wheat (Triticum aestivum L.) ultimately determine the end use of the grain and affect its commodity price, both of which are influenced by the application of nitrogen (N) fertilizer. This study characterized quantitative trait loci (QTLs) for kernel size and quality and examined the responses of these traits to low-N stress using a recombinant inbred line population derived from Kenong 9204 × Jing 411. Phenotypic analyses were conducted in five trials that each included low- and high-N treatments. We identified 109 putative additive QTLs for 11 kernel size and quality characteristics and 49 QTLs for tolerance to N stress, 27 and 14 of which were stable across the tested environments, respectively. These QTLs were distributed across all wheat chromosomes except for chromosomes 3A, 4D, 6D, and 7B. Eleven QTL clusters that simultaneously affected kernel size- and quality-related traits were identified. At nine locations, 25 of the 49 QTLs for N deficiency tolerance coincided with the QTLs for kernel characteristics, indicating their genetic independence. The feasibility of indirect selection of a superior genotype for kernel size and quality under high-N conditions in breeding programs designed for a lower input management system are discussed. In addition, we specified the functions of Glu-A1, Glu-B1, Glu-A3, Glu-B3, TaCwi-A1, TaSus2, TaGS2-D1, PPO-D1, Rht-B1, and Ha with regard to kernel characteristics and the sensitivities of these characteristics to N stress. This study provides useful information for the genetic improvement of wheat kernel size, quality, and resistance to N stress.

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Year:  2015        PMID: 26660466     DOI: 10.1007/s00122-015-2641-7

Source DB:  PubMed          Journal:  Theor Appl Genet        ISSN: 0040-5752            Impact factor:   5.699


  33 in total

1.  An update of the Courtot x Chinese Spring intervarietal molecular marker linkage map for the QTL detection of agronomic traits in wheat.

Authors:  P Sourdille; T Cadalen; H Guyomarc'h; J W Snape; M R Perretant; G Charmet; C Boeuf; S Bernard; M Bernard
Journal:  Theor Appl Genet       Date:  2002-09-19       Impact factor: 5.699

2.  Haplotype analysis of the genes encoding glutamine synthetase plastic isoforms and their association with nitrogen-use- and yield-related traits in bread wheat.

Authors:  Xin-Peng Li; Xue-Qiang Zhao; Xue He; Guang-Yao Zhao; Bin Li; Dong-Cheng Liu; Ai-Min Zhang; Xue-Yong Zhang; Yi-Ping Tong; Zhen-Sheng Li
Journal:  New Phytol       Date:  2010-10-12       Impact factor: 10.151

3.  The glutamine synthetase (GS2) genes in relation to grain protein content of durum wheat.

Authors:  Agata Gadaleta; Domenica Nigro; Angelica Giancaspro; Antonio Blanco
Journal:  Funct Integr Genomics       Date:  2011-07-14       Impact factor: 3.410

4.  Wheat kernel dimensions: how do they contribute to kernel weight at an individual QTL level?

Authors:  Fa Cui; Anming Ding; Jun Li; Chunhua Zhao; Xingfeng Li; Deshun Feng; Xiuqin Wang; Lin Wang; Jurong Gao; Honggang Wang
Journal:  J Genet       Date:  2011-12       Impact factor: 1.166

5.  The wheat (T. aestivum) sucrose synthase 2 gene (TaSus2) active in endosperm development is associated with yield traits.

Authors:  Qiyan Jiang; Jian Hou; Chenyang Hao; Lanfen Wang; Hongmei Ge; Yushen Dong; Xueyong Zhang
Journal:  Funct Integr Genomics       Date:  2010-09-04       Impact factor: 3.410

6.  A workshop report on wheat genome sequencing: International Genome Research on Wheat Consortium.

Authors:  Bikram S Gill; Rudi Appels; Anna-Maria Botha-Oberholster; C Robin Buell; Jeffrey L Bennetzen; Boulos Chalhoub; Forrest Chumley; Jan Dvorák; Masaru Iwanaga; Beat Keller; Wanlong Li; W Richard McCombie; Yasunari Ogihara; Francis Quetier; Takuji Sasaki
Journal:  Genetics       Date:  2004-10       Impact factor: 4.562

7.  Identification and validation of quantitative trait loci for grain protein concentration in adapted Canadian durum wheat populations.

Authors:  Y Suprayogi; Curtis Jerry Pozniak; F R Clarke; J M Clarke; R E Knox; A K Singh
Journal:  Theor Appl Genet       Date:  2009-05-12       Impact factor: 5.699

8.  Allelic variation of polyphenol oxidase (PPO) genes located on chromosomes 2A and 2D and development of functional markers for the PPO genes in common wheat.

Authors:  X Y He; Z H He; L P Zhang; D J Sun; C F Morris; E P Fuerst; X C Xia
Journal:  Theor Appl Genet       Date:  2007-04-11       Impact factor: 5.574

9.  A novel genetic map of wheat: utility for mapping QTL for yield under different nitrogen treatments.

Authors:  Fa Cui; Xiaoli Fan; Chunhua Zhao; Wei Zhang; Mei Chen; Jun Ji; Junming Li
Journal:  BMC Genet       Date:  2014-05-15       Impact factor: 2.797

10.  Genome-wide association for grain morphology in synthetic hexaploid wheats using digital imaging analysis.

Authors:  Awais Rasheed; Xianchun Xia; Francis Ogbonnaya; Tariq Mahmood; Zongwen Zhang; Abdul Mujeeb-Kazi; Zhonghu He
Journal:  BMC Plant Biol       Date:  2014-05-09       Impact factor: 4.215

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  24 in total

1.  Dissection of genetic factors underlying grain size and fine mapping of QTgw.cau-7D in common wheat (Triticum aestivum L.).

Authors:  Zhaoyan Chen; Xuejiao Cheng; Lingling Chai; Zhihui Wang; Ruolin Bian; Jiang Li; Aiju Zhao; Mingming Xin; Weilong Guo; Zhaorong Hu; Huiru Peng; Yingyin Yao; Qixin Sun; Zhongfu Ni
Journal:  Theor Appl Genet       Date:  2019-09-30       Impact factor: 5.699

2.  Characterization of the temporal and spatial expression of wheat (Triticum aestivum L.) plant height at the QTL level and their influence on yield-related traits.

Authors:  Na Zhang; Xiaoli Fan; Fa Cui; Chunhua Zhao; Wei Zhang; Xueqiang Zhao; Lijuan Yang; Ruiqing Pan; Mei Chen; Jie Han; Jun Ji; Dongcheng Liu; Zongwu Zhao; Yiping Tong; Aimin Zhang; Tao Wang; Junming Li
Journal:  Theor Appl Genet       Date:  2017-03-27       Impact factor: 5.699

3.  Utilization of a Wheat55K SNP array-derived high-density genetic map for high-resolution mapping of quantitative trait loci for important kernel-related traits in common wheat.

Authors:  Tianheng Ren; Tao Fan; Shulin Chen; Chunsheng Li; Yongyan Chen; Xia Ou; Qing Jiang; Zhenglong Ren; Feiquan Tan; Peigao Luo; Chen Chen; Zhi Li
Journal:  Theor Appl Genet       Date:  2021-01-03       Impact factor: 5.699

4.  Genetic Diversity and Association Mapping for Agromorphological and Grain Quality Traits of a Structured Collection of Durum Wheat Landraces Including subsp. durum, turgidum and diccocon.

Authors:  Patricia Giraldo; Conxita Royo; Mirvana González; Jose M Carrillo; Magdalena Ruiz
Journal:  PLoS One       Date:  2016-11-15       Impact factor: 3.240

5.  Utilization of a Wheat660K SNP array-derived high-density genetic map for high-resolution mapping of a major QTL for kernel number.

Authors:  Fa Cui; Na Zhang; Xiao-Li Fan; Wei Zhang; Chun-Hua Zhao; Li-Juan Yang; Rui-Qing Pan; Mei Chen; Jie Han; Xue-Qiang Zhao; Jun Ji; Yi-Ping Tong; Hong-Xia Zhang; Ji-Zeng Jia; Guang-Yao Zhao; Jun-Ming Li
Journal:  Sci Rep       Date:  2017-06-19       Impact factor: 4.379

6.  Global QTL Analysis Identifies Genomic Regions on Chromosomes 4A and 4B Harboring Stable Loci for Yield-Related Traits Across Different Environments in Wheat (Triticum aestivum L.).

Authors:  Panfeng Guan; Lahu Lu; Lijia Jia; Muhammad Rezaul Kabir; Jinbo Zhang; Tianyu Lan; Yue Zhao; Mingming Xin; Zhaorong Hu; Yingyin Yao; Zhongfu Ni; Qixin Sun; Huiru Peng
Journal:  Front Plant Sci       Date:  2018-04-25       Impact factor: 5.753

7.  Identification of QTL regions for seedling root traits and their effect on nitrogen use efficiency in wheat (Triticum aestivum L.).

Authors:  Xiaoli Fan; Wei Zhang; Na Zhang; Mei Chen; Shusong Zheng; Chunhua Zhao; Jie Han; Jiajia Liu; Xilan Zhang; Liqiang Song; Jun Ji; Xigang Liu; Hongqing Ling; Yiping Tong; Fa Cui; Tao Wang; Junming Li
Journal:  Theor Appl Genet       Date:  2018-09-25       Impact factor: 5.699

8.  Mapping QTL for agronomic traits under two levels of salt stress in a new constructed RIL wheat population.

Authors:  Qiaoling Luo; Qi Zheng; Pan Hu; Liqin Liu; Guotang Yang; Hongwei Li; Bin Li; Zhensheng Li
Journal:  Theor Appl Genet       Date:  2020-09-29       Impact factor: 5.699

9.  Utilization of a Wheat50K SNP Microarray-Derived High-Density Genetic Map for QTL Mapping of Plant Height and Grain Traits in Wheat.

Authors:  Dongyun Lv; Chuanliang Zhang; Rui Yv; Jianxin Yao; Jianhui Wu; Xiaopeng Song; Juntao Jian; Pengbo Song; Zeyuan Zhang; Dejun Han; Daojie Sun
Journal:  Plants (Basel)       Date:  2021-06-08

10.  A novel allele of TaGW2-A1 is located in a finely mapped QTL that increases grain weight but decreases grain number in wheat (Triticum aestivum L.).

Authors:  Huijie Zhai; Zhiyu Feng; Xiaofen Du; Yane Song; Xinye Liu; Zhongqi Qi; Long Song; Jiang Li; Linghong Li; Huiru Peng; Zhaorong Hu; Yingyin Yao; Mingming Xin; Shihe Xiao; Qixin Sun; Zhongfu Ni
Journal:  Theor Appl Genet       Date:  2017-11-17       Impact factor: 5.699

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