Key Genes and Molecular Mechanism Investigation in the Synthesis of Maize Quercetin Based on SNP and Bioinformatics Analysis

被引:2
|
作者
Li, W-Z [1 ]
Zhang, M. [2 ]
Huang, Y-M [3 ]
Li, W-H [1 ]
Wang, L. [2 ]
机构
[1] Shihezi Univ, Key Lab Oasis Ecoagr Xinjiang Bingtuan, Coll Agron, Shihezi 832003, Xinjiang, Peoples R China
[2] Minist Agr, CAAS Key Lab Agr Genom Beijing, Biotechnol Res Inst, Beijing 100081, Peoples R China
[3] Pingdingshan Acad Agr Sci, Sci Res Dept, Pingdingshan 467000, Henan, Peoples R China
关键词
Zea mays; quercetin; genome-wide association study; single-nucleotide polymorphism; retinoblastoma; 1; exopolygalacturonase; 8; CONFORMATION POLYMORPHISM ANALYSIS; CELL-CYCLE; ANTIOXIDANT; PLANT; EXOPOLYGALACTURONASE; ACTIVATION; EXPRESSION; PATHWAY; ACID;
D O I
10.1134/S1021443721030110
中图分类号
Q94 [植物学];
学科分类号
071001 ;
摘要
This study aimed to reveal the potential genes and mechanisms involved in the biosynthesis of quercetin (QCT) in maize (Zea mays L.) through genome-wide association study (GWAS) and bioinformatics analysis, and provide a basis for further research on QCT. The content of QCT in 196 maize inbred lines was detected by LC-MS. The single-nucleotide polymorphism (SNPs) data from these samples were explored by Maize 55K SNP arrays, followed by population structure using fastStructure software and genome-wide association study (GWAS) analysis. Then, the SNP screening was performed with P < 1.00E-06 using Gramene software, followed by SNP annotation (150 KB up and downstream). The enrichment analysis was performed on all annotated genes. Finally, the protein-protein interaction (PPI) network analysis was performed to further reveal the relations among genes. A total of 12 SNPs were explored from original SNPs with P < 1.00E-06. The SNP annotation revealed several SNP-associated genes including Zm00001d036822 and Zm00001d007407. These genes were mainly enriched in metabolic pathway and functions like negative regulation of cell cycle phase transition. Finally, a PPI work was constructed by totally 34 annotated genes and 59 interactions. Zm00001d036822 and Zm00001d007407 might be novel candidate genes involved in the synthesis of QCT. Meanwhile, the metabolic pathway as well as negative regulation of cell cycle phase transition function might contribute to the biosynthesis of QCT.
引用
收藏
页码:421 / 429
页数:9
相关论文
共 50 条
  • [21] Exploring Key Genes with Diagnostic Value for Nonalcoholic Steatohepatitis Based on Bioinformatics Analysis
    Zeng, Wenchun
    Xu, Xiangwei
    Xu, Fang
    Zhu, Fang
    Li, Yuecui
    Ma, Ji
    ACS OMEGA, 2023, 8 (23): : 20959 - 20967
  • [22] Key genes and pathways predicted in papillary thyroid carcinoma based on bioinformatics analysis
    J. Yu
    W. Mai
    Y. Cui
    L. Kong
    Journal of Endocrinological Investigation, 2016, 39 : 1285 - 1293
  • [23] Screening of key pathogenic genes in advanced knee osteoarthritis based on bioinformatics analysis
    Yang, Yongju
    Zhang, Yuqian
    Min, Dongyu
    Yu, Heshan
    Guan, Xuefeng
    ANNALS OF TRANSLATIONAL MEDICINE, 2022, 10 (18)
  • [24] IDENTIFICATION OF KEY GENES AND PATHWAYS FOR PSORIASIS BASED ON GEO DATABASES BY BIOINFORMATICS ANALYSIS
    Sun, X.
    Zhang, S. X.
    Song, S.
    Kong, T.
    Zheng, C.
    Cheng, L.
    Feng, S.
    Shi, G.
    Li, X.
    He, P. F.
    Yu, Q.
    ANNALS OF THE RHEUMATIC DISEASES, 2021, 80 : 1037 - 1038
  • [25] Key genes and pathways predicted in papillary thyroid carcinoma based on bioinformatics analysis
    Yu, J.
    Mai, W.
    Cui, Y.
    Kong, L.
    JOURNAL OF ENDOCRINOLOGICAL INVESTIGATION, 2016, 39 (11) : 1285 - 1293
  • [26] Identification and analysis of key genes in adipose tissue for human obesity based on bioinformatics
    Hua, Yuchen
    Xie, Danyingzhu
    Zhang, Yugang
    Wang, Ming
    Wen, Weiheng
    Sun, Jia
    GENE, 2023, 888
  • [27] QTL mapping analysis of maize plant type based on SNP molecular marker
    Zhu, Weihong
    Zhao, Yikun
    Liu, Jingbao
    Huang, Lu
    Lu, Xiaomin
    Kang, Dingming
    CELLULAR AND MOLECULAR BIOLOGY, 2019, 65 (02) : 18 - 27
  • [28] Bioinformatics Analysis of the Key Genes and Pathways in Multiple Myeloma
    Sheng, Xinge
    Wang, Shuo
    Huang, Meijiao
    Fan, Kaiwen
    Wang, Jiaqi
    Lu, Quanyi
    INTERNATIONAL JOURNAL OF GENERAL MEDICINE, 2022, 15 : 6999 - 7016
  • [29] Identification of Key Genes in Gastric Cancer by Bioinformatics Analysis
    Chong, Xinyu
    Peng, Rui
    Sun, Yan
    Zhang, Luyu
    Zhang, Zheng
    BIOMED RESEARCH INTERNATIONAL, 2020, 2020
  • [30] The Identification of Key Genes and Pathways in Glioma by Bioinformatics Analysis
    Liu, Mingfa
    Xu, Zhennan
    Du, Zepeng
    Wu, Bingli
    Jin, Tao
    Xu, Ke
    Xu, Liyan
    Li, Enmin
    Xu, Haixiong
    JOURNAL OF IMMUNOLOGY RESEARCH, 2017, 2017