Combining WGCNA and PPI Network for Identifying Hub Proteins Associated with Fusarium Head Blight Responses in Wheat

doi:10.19586/j.2095-2341.2021.0117

Current Biotechnology ›› 2021, Vol. 11 ›› Issue (5): 628-633.DOI: 10.19586/j.2095-2341.2021.0117

• Host-pathogen Interaction and Resistance Mechanism • Previous Articles Next Articles

Combining WGCNA and PPI Network for Identifying Hub Proteins Associated with Fusarium Head Blight Responses in Wheat

Jiajun LIU(), Chen CHEN, Mingxing WEN, Rui GUO, Weicheng YAO, Dongsheng LI()

Zhenjiang Institute of Agricultural Science of Hilly Regions，Jiangsu Jurong 212400，China

Received:2021-06-15 Accepted:2021-07-27 Online:2021-09-25 Published:2021-10-08
Contact: Dongsheng LI

基于共表达网络和蛋白互作分析挖掘小麦赤霉病抗性相关核心蛋白

刘家俊(), 陈琛, 温明星, 郭瑞, 姚维成, 李东升()

江苏丘陵地区镇江农业科学研究所，江苏句容 212400

通讯作者: 李东升
作者简介:刘家俊 E-mail：divergent9304@hotmail.com；
基金资助:
镇江市农业科学院青年基金项目(QNJJ2020001);句容市科技项目(NY202009);扬州大学开放课题项目(PL202008)

Abstract

Abstract:

High?throughput proteomics enables the identification and quantitation of protein expression profiles of a specific tissue in wheat. Based on a previous proteomics study on bulked rachides post inoculation with Fusarium graminearum， the current study employed 632 differentially accumulated proteins for co?expression network construction， and the highly correlated modules was proceeded with protein?protein interaction （PPI） analysis， aiming at exploring potential proteins associated with Fusarium head blight （FHB） resistance. Weighted correlation network analysis （WGCNA） constructed a total of 12 modules， module 6 and module 8 were significantly correlated with FHB. The PPI identified seven candidates， and these proteins were connected to detoxification， such as glutathione S?transferase （GST） and S?adenosylmethionine?dependent methyltransferase （AdoMet?MTase）， photosynthesis， such as membrane?associated 30 kD， chloroplastic （IM30）， photosynthetic NDH subcomplex L 2 （PnsL2） and PsbP?like protein 1 （PPL1）， defense response， such as ubiquitin carboxyl?terminal hydrolase （UCHL） and methionine aminopeptidase 2 （MetAP2）. These proteins may play crucial roles in host resistance to FHB， and are worth further explorations.

Key words: wheat, Fusarium head blight, proteomics, WGCNA, protein?protein interaction

摘要：

高通量蛋白组学技术能够鉴定小麦特定组织的蛋白表达水平，对小麦穗轴混池蛋白组学分析得到的632个差异表达蛋白数据进行共表达网络分析，同时筛选显著表达模块进行蛋白质互作分析，以期挖掘出与小麦赤霉病抗性相关的蛋白。WGCNA分析结果共构建了12个表达模块，其中模块6与赤霉病抗病呈极显著相关，模块8显著相关。蛋白互作网络分析筛选到7个候选蛋白，分别为参与毒素降解的GST （glutathione S?transferase）和AdoMet?MTase（S?adenosylmethionine?dependent methyltransferase），参与光合作用的IM30（membrane?associated 30 Da, chloroplastic）、PnsL2（photosynthetic NDH subcomplex L 2）和PPL1（PsbP?like protein 1）,以及抗逆相关的UCHL（ubiquitin carboxyl?terminal hydrolase）和MetAP2（methionine aminopeptidase 2）。这些蛋白可能在赤霉病抗、感病响应中具有重要作用，值得进一步研究。

关键词: 小麦, 赤霉病, 蛋白组学, WGCNA, 蛋白互作

CLC Number:

S435.121.4+5

Jiajun LIU, Chen CHEN, Mingxing WEN, Rui GUO, Weicheng YAO, Dongsheng LI. Combining WGCNA and PPI Network for Identifying Hub Proteins Associated with Fusarium Head Blight Responses in Wheat[J]. Current Biotechnology, 2021, 11(5): 628-633.

刘家俊, 陈琛, 温明星, 郭瑞, 姚维成, 李东升. 基于共表达网络和蛋白互作分析挖掘小麦赤霉病抗性相关核心蛋白[J]. 生物技术进展, 2021, 11(5): 628-633.

Figures/Tables 3

References 22

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Combining WGCNA and PPI Network for Identifying Hub Proteins Associated with Fusarium Head Blight Responses in Wheat

基于共表达网络和蛋白互作分析挖掘小麦赤霉病抗性相关核心蛋白

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