Identification of Gene Modules and Hub Genes Associated with Sporisorium scitamineum Infection Using Weighted Gene Co-Expression Network Analysis

被引:5
|
作者
Liu, Zongling [1 ,2 ]
Li, Xiufang [1 ]
Li, Jie [2 ]
Zhao, Haiyun
Deng, Xingli [1 ]
Su, Yizu [1 ]
Li, Ru [1 ,2 ]
Chen, Baoshan [1 ,2 ]
机构
[1] Guangxi Univ, Coll Life Sci & Technol, State Key Lab Conservat & Utilizat Subtrop Agro B, Nanning 530004, Peoples R China
[2] Guangxi Univ, Coll Agr, Guangxi Key Lab Sugarcane Biol, Nanning 530004, Peoples R China
基金
中国国家自然科学基金;
关键词
weighted gene co-expression network analysis; transcriptome; Sporisorium scitamineum; hub genes; candidate effectors; UNFOLDED PROTEIN RESPONSE; EFFECTOR; EXPRESSION; RESISTANCE; ENZYMES; STRESS;
D O I
10.3390/jof8080852
中图分类号
Q93 [微生物学];
学科分类号
071005 ; 100705 ;
摘要
Sporisorium scitamineum is a biotrophic fungus responsible for sugarcane smut disease. To investigate the key genes involved in S. scitamineum infection, we conducted RNA sequencing of sugarcane sprouts inoculated with S. scitamineum teliospores. A weighted gene co-expression network analysis (WGCNA) showed that two co-expressed gene modules, MEdarkturquoise and MEpurple-containing 66 and 208 genes, respectively-were associated with S. scitamineum infection. The genes in these two modules were further studied using Gene Ontology (GO) enrichment analysis, pathogen-host interaction (PHI) database BLASTp, and small secreted cysteine-rich proteins (SCRPs) prediction. The top ten hub genes in each module were identified using the Cytohubba plugin. The GO enrichment analysis found that endoplasmic reticulum-related and catabolism-related genes were expressed during S. scitamineum infection. A total of 83 genes had homologs in the PHI database, 62 of which correlated with pathogen virulence. A total of 21 proteins had the characteristics of small secreted cysteine-rich proteins (SCRPs), a common source of fungal effectors. The top ten hub genes in each module were identified, and seven were annotated as Mig1-Mig1 protein, glycosyl hydrolase, beta-N-acetylglucosaminidase, secreted chorismate mutase, collagen, mRNA export factor, and pleckstrin homology domain protein, while the remaining three were unknown. Two SCRPs-SPSC_06609 and SPSC_04676-and three proteins-SPSC_01958, SPSC_02155, and SPSC_00940-identified in the PHI database were also among the top ten hub genes in the MEdarkturquoise and MEpurple modules, suggesting that they may play important roles in S. scitamineum infection. A S. scitamineum infection model was postulated based on current findings. These findings help to deepen the current understanding of early events in S. scitamineum infection.
引用
收藏
页数:16
相关论文
共 50 条
  • [1] Identification of gene modules and hub genes associated with Colletotrichum siamense infection in mango using weighted gene co-expression network analysis
    Liu, Zongling
    Zhu, Zhengjie
    Huang, Yuanhe
    Nong, Song
    Jiang, Minli
    Yi, Sangui
    Xie, Delong
    Hu, Hongliu
    BMC GENOMICS, 2023, 24 (01)
  • [2] Identification of gene modules and hub genes associated with Colletotrichum siamense infection in mango using weighted gene co-expression network analysis
    Zongling Liu
    Zhengjie Zhu
    Yuanhe Huang
    Song Nong
    Minli Jiang
    Sangui Yi
    Delong Xie
    Hongliu Hu
    BMC Genomics, 24
  • [3] Identification of key modules and hub genes for eosinophilic asthma by weighted gene co-expression network analysis
    Li, Fanmin
    Li, Min
    Hu, Lijia
    Zhu, Wenye
    Cheng, Deyun
    JOURNAL OF ASTHMA, 2023, 60 (05) : 1038 - 1049
  • [4] Weighted Gene Co-Expression Network Analysis Identifies Key Modules and Hub Genes Associated with Mycobacterial Infection of Human Macrophages
    Lu, Lu
    Wei, RanLei
    Bhakta, Sanjib
    Waddell, Simon J.
    Boix, Ester
    ANTIBIOTICS-BASEL, 2021, 10 (02): : 1 - 16
  • [5] Identification of hub genes and gene modules associated with Behçet's disease by weighted gene co-expression network analysis of neutrophil transcriptome
    Zou, J.
    Zhu, Y. R.
    Guan, J. L.
    CLINICAL AND EXPERIMENTAL RHEUMATOLOGY, 2024, 42 (10) : 2049 - 2056
  • [6] Identification of key gene modules and genes in colorectal cancer by co-expression analysis weighted gene co-expression network analysis
    Wang, Peng
    Zheng, Huaixin
    Zhang, Jiayu
    Wang, Yashu
    Liu, Pingping
    Xuan, Xiaoyan
    Li, Qianru
    Du, Ying
    BIOSCIENCE REPORTS, 2020, 40
  • [7] Weighted gene co-expression network analysis to identify key modules and hub genes associated with paucigranulocytic asthma
    Li, Min
    Zhu, Wenye
    Wang, Chu
    Zheng, Yuanyuan
    Sun, Shibo
    Fang, Yan
    Luo, Zhuang
    BMC PULMONARY MEDICINE, 2021, 21 (01)
  • [8] Weighted gene co-expression network analysis reveals modules and hub genes associated with the development of breast cancer
    Qiu, Juanjuan
    Du, Zhenggui
    Wang, Yao
    Zhou, Yuting
    Zhang, Yuanxin
    Xie, Yanyan
    Lv, Qing
    MEDICINE, 2019, 98 (06)
  • [9] Weighted gene co-expression network analysis to identify key modules and hub genes associated with paucigranulocytic asthma
    Min Li
    Wenye Zhu
    Chu Wang
    Yuanyuan Zheng
    Shibo Sun
    Yan Fang
    Zhuang Luo
    BMC Pulmonary Medicine, 21
  • [10] Weighted gene co-expression network analysis to identify key modules and hub genes associated with atrial fibrillation
    Li, Wenyuan
    Wang, Lijun
    Wu, Yue
    Yuan, Zuyi
    Zhou, Juan
    INTERNATIONAL JOURNAL OF MOLECULAR MEDICINE, 2020, 45 (02) : 401 - 416