Genome-wide association study of grain micronutrient concentrations in bread wheat

被引:9
|
作者
Hao, Yongchao [1 ]
Kong, Fanmei [2 ]
Wang, Lili [3 ]
Zhao, Yu [1 ]
Li, Mengyao [1 ]
Che, Naixiu [1 ]
Li, Shuang [2 ]
Wang, Min [2 ]
Hao, Ming [4 ]
Zhang, Xiaocun [2 ]
Zhao, Yan [1 ]
机构
[1] Shandong Agr Univ, Coll Agron, State Key Lab Crop Biol, Tai An 271018, Peoples R China
[2] Shandong Agr Univ, Coll Resources & Environm, Tai An 271018, Peoples R China
[3] Jining Liangshan Ecol Environm Affairs Ctr, Jining 272100, Peoples R China
[4] Shandong Agr Univ, Coll Forestry, Tai An 271018, Peoples R China
关键词
bread wheat; nutritional element; GWAS; domestication; haplotype; AGRONOMIC TRAITS; ELEMENT CONTENTS; IRON; ZINC; GENES; CROPS; LOCI; GWAS;
D O I
10.1016/j.jia.2023.06.030
中图分类号
S [农业科学];
学科分类号
09 ;
摘要
Bread wheat (Triticum aestivum) is a staple food crop worldwide. The genetic dissection of important nutrient traits is essential for the biofortification of wheat to meet the nutritional needs of the world's growing population. Here, 45,298 single-nucleotide polymorphisms (SNPs) from 55K chip arrays were used to genotype a panel of 768 wheat cultivars, and a total of 154 quantitative trait loci (QTLs) were detected for eight traits under three environments by genome-wide association study (GWAS). Three QTLs (qMn-3B.1, qFe-3B.4, and qSe-3B.1/qFe-3B.6) detected repeatedly under different environments or traits were subjected to subsequent analyses based on linkage disequilibrium decay and the P-values of significant SNPs. Significant SNPs in the three QTL regions formed six haplotypes for qMn-3B.1, three haplotypes for qFe-3B.4, and three haplotypes for qSe-3B.1/qFe-3B.6. Phenotypic analysis revealed significant differences among haplotypes. These results indicated that the concentrations of several nutrient elements have been modified during the domestication of landraces to modern wheat. Based on the QTL regions, we identified 15 high-confidence genes, eight of which were stably expressed in different tissues and/or developmental stages. TraesCS3B02G046100 in qMn-3B.1 and TraesCS3B02G199500 in qSe-3B.1/qFe-3B.6 were both inferred to interact with metal ions according to the Gene Ontology (GO) analysis. TraesCS3B02G199000, which belongs to qSe-3B.1/qFe-3B.6, was determined to be a member of the WRKY gene family. Overall, this study provides several reliable QTLs that may significantly affect the concentrations of nutrient elements in wheat grain, and this information will facilitate the breeding of wheat cultivars with improved grain properties.
引用
收藏
页码:1468 / 1480
页数:13
相关论文
共 50 条
  • [21] Application of multi-layer neural network and hyperspectral reflectance in genome-wide association study for grain yield in bread wheat
    Fei, Shuaipeng
    Hassan, Muhammad Adeel
    Xiao, Yonggui
    Rasheed, Awais
    Xia, Xianchun
    Ma, Yuntao
    Fu, Luping
    Chen, Zhen
    He, Zhonghu
    FIELD CROPS RESEARCH, 2022, 289
  • [22] Genome-Wide Association Mapping Identifies Key Genomic Regions for Grain Zinc and Iron Biofortification in Bread Wheat
    Juliana, Philomin
    Govindan, Velu
    Crespo-Herrera, Leonardo
    Mondal, Suchismita
    Huerta-Espino, Julio
    Shrestha, Sandesh
    Poland, Jesse
    Singh, Ravi P.
    FRONTIERS IN PLANT SCIENCE, 2022, 13
  • [23] Genome-wide association mapping: a case study in bread wheat (Triticum aestivum L.)
    K. Neumann
    B. Kobiljski
    S. Denčić
    R. K. Varshney
    A. Börner
    Molecular Breeding, 2011, 27 : 37 - 58
  • [24] Genome-wide association study and genomic selection of spike-related traits in bread wheat
    Xu, Huiyuan
    Wang, Zixu
    Wang, Faxiang
    Hu, Xinrong
    Ma, Chengxue
    Jiang, Huijiao
    Xie, Chang
    Gao, Yuhang
    Ding, Guangshuo
    Zhao, Chunhua
    Qin, Ran
    Cui, Dezhou
    Sun, Han
    Cui, Fa
    Wu, Yongzhen
    THEORETICAL AND APPLIED GENETICS, 2024, 137 (06)
  • [25] Genome-Wide Association Study Reveals Novel Powdery Mildew Resistance Loci in Bread Wheat
    Kaur, Ramandeep
    Vasistha, Neeraj Kumar
    Ravat, Vikas Kumar
    Mishra, Vinod Kumar
    Sharma, Sandeep
    Joshi, Arun Kumar
    Dhariwal, Raman
    PLANTS-BASEL, 2023, 12 (22):
  • [26] Genome–wide association study of grain morphology in wheat
    Le Gao
    Jian Yang
    Shi-jia Song
    Ke Xu
    Hao-dong Liu
    Shu-hua Zhang
    Xue-ju Yang
    Yong Zhao
    Euphytica, 2021, 217
  • [27] Genome-wide association study for phosphate responsive root hair length and density in bread wheat
    Maqbool, Saman
    Saeed, Fatima
    Maqbool, Ammarah
    Khan, Muhammad Ibrar
    Ali, Mohsin
    Rasheed, Awais
    Xia, Xianchun
    He, Zhonghu
    CURRENT PLANT BIOLOGY, 2023, 35
  • [28] Genome-wide association mapping: a case study in bread wheat (Triticum aestivum L.)
    Neumann, K.
    Kobiljski, B.
    Dencic, S.
    Varshney, R. K.
    Boerner, A.
    MOLECULAR BREEDING, 2011, 27 (01) : 37 - 58
  • [29] Genome-wide association study of grain hardness and novel Puroindoline alleles in common wheat
    Wang, Junyou
    Yang, Chenkang
    Zhao, Wenjia
    Wang, Ying
    Qiao, Ling
    Wu, Bangbang
    Zhao, Jiajia
    Zheng, Xingwei
    Wang, Juanling
    Zheng, Jun
    MOLECULAR BREEDING, 2022, 42 (07)
  • [30] Investigation and genome-wide association study of grain copper content in Chinese common wheat
    Zhao, Lei
    Pan, Yubo
    Dong, Zhongdong
    Zheng, Yueting
    Liu, Jinyuan
    Geng, Junyou
    Ren, Yan
    Zhang, Ning
    Chen, Feng
    JOURNAL OF CEREAL SCIENCE, 2020, 95