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
  • [21] Identification of gene co-expression modules and hub genes associated with the invasiveness of pituitary adenoma
    Yuancheng Zhou
    Xiaorui Fu
    Zhicheng Zheng
    Yu Ren
    Zijian Zheng
    Bohan Zhang
    Min Yuan
    Jian Duan
    Meihua Li
    Tao Hong
    Guohui Lu
    Dongwei Zhou
    Endocrine, 2020, 68 : 377 - 389
  • [22] Psoriasis Associated Hub Genes Revealed by Weighted Gene Co-Expression Network Analysis
    Darvish, Zeinab
    Ghanbari, Saeed
    Afshar, Saeid
    Tapak, Leili
    Amini, Payam
    CELL JOURNAL, 2023, 25 (06) : 418 - 426
  • [23] Investigation of hub gene associated with the infection of Staphylococcus aureus via weighted gene co-expression network analysis
    Li, Jia-xin
    Cao, Xun-jie
    Huang, Yuan-yi
    Li, Ya-ping
    Yu, Zi-yuan
    Lin, Min
    Li, Qiu-ying
    Chen, Ji-chun
    Guo, Xu-guang
    BMC MICROBIOLOGY, 2021, 21 (01)
  • [24] The identification and verification of hub genes associated with pulmonary arterial hypertension using weighted gene co-expression network analysis
    Weibin Wu
    Ai Chen
    Siming Lin
    Qiuran Wang
    Guili Lian
    Li Luo
    Liangdi Xie
    BMC Pulmonary Medicine, 22
  • [25] The identification of hub genes associated with pure ground glass nodules using weighted gene co-expression network analysis
    Cheng, Yuan
    Song, Zuoqing
    BMC PULMONARY MEDICINE, 2024, 24 (01):
  • [26] The Identification and Validation of Hub Genes Associated with Acute Myocardial Infarction Using Weighted Gene Co-Expression Network Analysis
    Xue, Junqiang
    Chen, Lu
    Cheng, Hao
    Song, Xiaoyue
    Shi, Yuekai
    Li, Linnan
    Xu, Rende
    Qin, Qing
    Ma, Jianying
    Ge, Junbo
    JOURNAL OF CARDIOVASCULAR DEVELOPMENT AND DISEASE, 2022, 9 (01)
  • [27] The identification and verification of hub genes associated with pulmonary arterial hypertension using weighted gene co-expression network analysis
    Wu, Weibin
    Chen, Ai
    Lin, Siming
    Wang, Qiuran
    Lian, Guili
    Luo, Li
    Xie, Liangdi
    BMC PULMONARY MEDICINE, 2022, 22 (01)
  • [28] Screening and identification of hub genes of scar physique via weighted gene co-expression network analysis
    Ma, Shuxian
    Li, Xuze
    Wu, Wenhao
    Zhang, Pei
    Yang, Yanjie
    Huang, Lining
    Wan, Qian
    MEDICINE, 2023, 102 (46) : E36077
  • [29] Identification of Hub Genes and Construction of a Transcriptional Regulatory Network Associated With Tumor Recurrence in Colorectal Cancer by Weighted Gene Co-expression Network Analysis
    Liu, Shengwei
    Zeng, Fanping
    Fan, Guangwen
    Dong, Qiyong
    FRONTIERS IN GENETICS, 2021, 12
  • [30] Identification of Hub Genes Associated with the Development of Acute Kidney Injury by Weighted Gene Co-Expression Network Analysis
    Lin, Xiao
    Li, Jianchun
    Tan, Ruizhi
    Zhong, Xia
    Yang, Jieke
    Wang, Li
    KIDNEY & BLOOD PRESSURE RESEARCH, 2021, 46 (01) : 63 - 73