Integrating genome-wide association and whole transcriptome analysis to reveal genetic control of grain quality traits in barley

被引:0
|
作者
Luan, Haiye [1 ,2 ]
Gao, Jiajia [1 ]
Qu, Xin [1 ]
Li, Yu [1 ]
Wu, Yuhao [1 ]
Wang, Jun [3 ]
Li, Shufen [3 ]
Xu, Meng [1 ]
Xu, Xiao [2 ]
Sun, Miao [1 ]
Zhang, Yinghu [2 ]
Shen, Huiquan [2 ]
机构
[1] Yancheng Teachers Univ, Coll Marine & Biol Engn, Yancheng 224002, Jiangsu, Peoples R China
[2] Inst Agr Sci Jiangsu Coastal Areas, Yancheng 224002, Peoples R China
[3] Lianyungang Acad Agr Sci, Lianyungang, Peoples R China
关键词
Barley; Grain quality; Genome-wide association study; RNA-seq; PROTEIN-CONTENT; STARCH; FAMILY; SIZE;
D O I
10.1007/s10681-024-03452-w
中图分类号
S3 [农学(农艺学)];
学科分类号
0901 ;
摘要
Quality traits of barley (Hordeum vulgare L.) grain, such as starch and protein contents, are important factors that determine grain end-use value. In barley breeding, improved quality traits have long been a critical goal. The objective of this study was to identify underlying genetic locations for grain quality traits and mine the related candidate genes. In this study, 250 barley accessions were evaluated for key grain quality traits, including protein content (GPC), starch content (GSC) and fibre content (GFC) across a two-year period. Through genome-wide association study (GWAS) analysis, we identified 145 significant SNPs associated with grain quality traits. Additionally, two materials showed significant differences in grain quality were further selected for transcriptome analysis. Through a comparison analysis of barley grain, 4636 and 3684 differentially expressed genes (DEGs) were identified at 21 days post anthesis (DPA) and 28 DPA, respectively. These DEGs mainly participate in carbon fixation in photosynthetic organisms, starch and sucrose metabolism, and so on. By integrating GWAS and RNA-Seq data analysis approaches, we identified 17 candidate genes primarily involved in hydrolysis of starch, glycosyltransferase and post-translational modification. Altogether, 27 stable loci significantly associated with grain quality traits were detected, and 17 candidate genes related to grain quality were screened. These findings provide valuable insights for gene cloning related to grain quality and server as a reference for high-quality barley cultivars.
引用
收藏
页数:18
相关论文
共 50 条
  • [41] Genome-Wide Association Analysis for the Genetic Basis of Seven Traits Associated with Corn Grain Moisture and Ear Threshing Rate
    Wang, Xinqi
    Ren, Xiaoci
    Mei, Nan
    Xie, Yanning
    Yang, Xiangyu
    Wang, Xiaojie
    Zhao, Rengui
    INTERNATIONAL JOURNAL OF AGRICULTURE AND BIOLOGY, 2019, 21 (04) : 810 - 818
  • [42] Genome-wide association study and transcriptome analysis reveal the genetic basis underlying the environmental adaptation of plant height in a woody plant
    Liu, Yao
    Hu, Yanmin
    Yang, Liang
    Zhao, Tao
    Zheng, Sifan
    Peng, Xianjun
    PLANT PHYSIOLOGY AND BIOCHEMISTRY, 2025, 219
  • [43] Genome-wide association study of meat quality traits in chicken
    Zhang, T.
    Fan, Q. C.
    Wang, J. Y.
    Zhang, G. X.
    Gu, Y. P.
    Tang, Y.
    GENETICS AND MOLECULAR RESEARCH, 2015, 14 (03): : 10452 - 10460
  • [44] Genome-wide association of meat quality traits and tenderness in swine
    Nonneman, D. J.
    Shackelford, S. D.
    King, D. A.
    Wheeler, T. L.
    Wiedmann, R. T.
    Snelling, W. M.
    Rohrer, G. A.
    JOURNAL OF ANIMAL SCIENCE, 2013, 91 (09) : 4043 - 4050
  • [45] Genome-wide association mapping of agronomic traits in relevant barley germplasm in Uruguay
    Andrés Locatelli
    Alfonso Cuesta-Marcos
    Lucía Gutiérrez
    Patrick M. Hayes
    Kevin P. Smith
    Ariel J. Castro
    Molecular Breeding, 2013, 31 : 631 - 654
  • [46] Genome-wide association mapping of agronomic traits in relevant barley germplasm in Uruguay
    Locatelli, Andres
    Cuesta-Marcos, Alfonso
    Gutierrez, Lucia
    Hayes, Patrick M.
    Smith, Kevin P.
    Castro, Ariel J.
    MOLECULAR BREEDING, 2013, 31 (03) : 631 - 654
  • [47] Genome-Wide Association and Transcriptome Analyses Reveal Candidate Genes Underlying Yield-determining Traits in Brassica napus
    Lu, Kun
    Peng, Liu
    Zhang, Chao
    Lu, Junhua
    Yang, Bo
    Xiao, Zhongchun
    Liang, Ying
    Xu, Xingfu
    Qu, Cunmin
    Zhang, Kai
    Liu, Liezhao
    Zhu, Qinlong
    Fu, Minglian
    Yuan, Xiaoyan
    Li, Jiana
    FRONTIERS IN PLANT SCIENCE, 2017, 8
  • [48] Integrating genetic and gene expression evidence into genome-wide association analysis of gene sets
    Xiong, Qing
    Ancona, Nicola
    Hauser, Elizabeth R.
    Mukherjee, Sayan
    Furey, Terrence S.
    GENOME RESEARCH, 2012, 22 (02) : 386 - 397
  • [49] Statistical Methods for Pathway Analysis of Genome-Wide Data for Association with Complex Genetic Traits
    Holmans, Peter
    COMPUTATIONAL METHODS FOR GENETICS OF COMPLEX TRAITS, 2010, 72 : 141 - 179
  • [50] Genome-wide association studies reveal novel QTLs for agronomic traits in soybean
    Han, Dongwei
    Zhao, Xi
    Zhang, Di
    Wang, Zhen
    Zhu, Zhijia
    Sun, Haoyue
    Qu, Zhongcheng
    Wang, Lianxia
    Liu, Zhangxiong
    Zhu, Xu
    Yuan, Ming
    FRONTIERS IN PLANT SCIENCE, 2024, 15