Identification of quantitative trait loci and candidate genes for grain superoxide dismutase activity in wheat

被引:1
|
作者
Qu, Kejia [1 ]
Wang, Jiqing [1 ]
Cheng, Yukun [1 ]
Bai, Bin [2 ]
Xia, Xianchun [3 ]
Geng, Hongwei [1 ]
机构
[1] Xinjiang Agr Univ, Coll Agr, Engn & Technol Res Ctr High Qual, Urumqi 830052, Peoples R China
[2] Gansu Acad Agr Sci, Wheat Res Inst, Lanzhou 730070, Peoples R China
[3] Chinese Acad Agr Sci CAAS, Natl Wheat Improvement Ctr, Inst Crop Sci, Beijing 100081, Peoples R China
来源
BMC PLANT BIOLOGY | 2024年 / 24卷 / 01期
基金
中国国家自然科学基金;
关键词
Candidate gene; Quantitative trait locus (QTL); Superoxide dismutase (SOD) activity; Wheat; OXIDATIVE DAMAGE; ETHYLENE;
D O I
10.1186/s12870-024-05367-z
中图分类号
Q94 [植物学];
学科分类号
071001 ;
摘要
Background Superoxide dismutase (SOD) can greatly scavenge reactive oxygen species (ROS) in plants. SOD activity is highly related to plant stress tolerance that can be improved by overexpression of SOD genes. Identification of SOD activity-related loci and potential candidate genes is essential for improvement of grain quality in wheat breeding. However, the loci and candidate genes for relating SOD in wheat grains are largely unknown. In the present study, grain SOD activities of 309 recombinant inbred lines (RILs) derived from the 'Berkut' x 'Worrakatta' cross were assayed by photoreduction method with nitro-blue tetrazolium (NBT) in four environments. Quantitative trait loci (QTL) of SOD activity were identified using inclusive composite interval mapping (ICIM) with the genotypic data of 50 K single nucleotide polymorphism (SNP) array. Results Six QTL for SOD activity were mapped on chromosomes 1BL, 4DS, 5AL (2), and 5DL (2), respectively, explaining 2.2 similar to 7.4% of the phenotypic variances. Moreover, QSOD.xjau-1BL, QSOD.xjau-4DS, QSOD.xjau-5 A.1, QSOD.xjau-5 A.2, and QSOD.xjau-5DL.2 identified are likely to be new loci for SOD activity. Four candidate genes TraesCS4D01G059500, TraesCS5A01G371600, TraesCS5D01G299900, TraesCS5D01G343100LC, were identified for QSOD.xjau-4DS, QSOD.xjau-5AL.1, and QSOD.xjau-5DL.1 (2), respectively, including three SOD genes and a gene associated with SOD activity. Based on genetic effect analysis, this can be used to identify desirable alleles and excellent allele variations in wheat cultivars. Conclusion These candidate genes are annotated for promoting SOD production and inhibiting the accumulation of ROS during plant growth. Therefore, lines with high SOD activity identified in this study may be preferred for future wheat breeding.
引用
收藏
页数:8
相关论文
共 50 条
  • [41] Loci and candidate genes controlling root traits in wheat seedlingsa wheat root GWAS
    Beyer, Savannah
    Daba, Sintayehu
    Tyagi, Priyanka
    Bockelman, Harold
    Brown-Guedira, Gina
    Mohammadi, Mohsen
    FUNCTIONAL & INTEGRATIVE GENOMICS, 2019, 19 (01) : 91 - 107
  • [42] Quantitative trait loci from identification to exploitation for crop improvement
    Jitendra Kumar
    Debjyoti Sen Gupta
    Sunanda Gupta
    Sonali Dubey
    Priyanka Gupta
    Shiv Kumar
    Plant Cell Reports, 2017, 36 : 1187 - 1213
  • [43] Mining of quantitative trait loci and candidate genes for seed size and shape across multiple environments in soybean (Glycine max)
    Sun, Yaqian
    Tian, Rui
    Shao, Zhenqi
    Chen, Shiliang
    Zhang, Hua
    Jin, Yuan
    Li, Wenlong
    Kong, Youbin
    Du, Hui
    Li, Xihuan
    Zhang, Caiying
    PLANT BREEDING, 2021, 140 (06) : 1058 - 1069
  • [44] Identification and validation of quantitative trait loci for chlorophyll content of flag leaf in wheat under different phosphorus treatments
    Yang, Bin
    Chen, Nan
    Dang, Yifei
    Wang, Yuzhi
    Wen, Hongwei
    Zheng, Jun
    Zheng, Xingwei
    Zhao, Jiajia
    Lu, Jinxiu
    Qiao, Ling
    FRONTIERS IN PLANT SCIENCE, 2022, 13
  • [45] Association mapping identifies loci and candidate genes for grain-related traits in spring wheat in response to heat stress
    Wang, Xiaobo
    Zhang, Jinbo
    Mao, Weiwei
    Guan, Panfeng
    Wang, Yongfa
    Chen, Yongming
    Liu, Wangqing
    Guo, Weilong
    Yao, Yingyin
    Hu, Zhaorong
    Xin, Mingming
    Ni, Zhongfu
    Sun, Qixin
    Peng, Huiru
    PLANT SCIENCE, 2023, 331
  • [46] Loci and candidate genes controlling root traits in wheat seedlings—a wheat root GWAS
    Savannah Beyer
    Sintayehu Daba
    Priyanka Tyagi
    Harold Bockelman
    Gina Brown-Guedira
    Mohsen Mohammadi
    Functional & Integrative Genomics, 2019, 19 : 91 - 107
  • [47] Quantitative trait loci from identification to exploitation for crop improvement
    Kumar, Jitendra
    Sen Gupta, Debjyoti
    Gupta, Sunanda
    Dubey, Sonali
    Gupta, Priyanka
    Kumar, Shiv
    PLANT CELL REPORTS, 2017, 36 (08) : 1187 - 1213
  • [48] Identification and Mapping of Quantitative Trait Loci Associated with Stripe Rust Resistance in Spring Club Wheat Cultivar JD
    Eagle, Jonathan
    Liu, Yan
    Naruoka, Yukiko
    Liu, Weizhen
    Ruff, Travis
    Hooker, Marcus
    Sthapit, Sajal
    Marston, Elliott
    Marlowe, Karol
    Pumphrey, Michael
    See, Deven R.
    PLANT DISEASE, 2022, 106 (09) : 2490 - 2497
  • [49] Analysis of candidate genes underlying two epistatic quantitative trait loci on SSC12 affecting litter size in pig
    Fernandez-Rodriguez, A.
    Rodriguez, C.
    Varona, L.
    Balcells, I.
    Noguera, J. L.
    Ovilo, C.
    Fernandez, A. I.
    ANIMAL GENETICS, 2010, 41 (01) : 73 - 80
  • [50] Genetic variation in barley of crossability with wheat and its quantitative trait loci analysis
    Taketa, S
    Takahashi, H
    Takeda, K
    EUPHYTICA, 1998, 103 (02) : 187 - 193