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2025年8月12日 星期二
农业生物技术学报  2022, Vol. 30 Issue (7): 1368-1384    DOI: 10.3969/j.issn.1674-7968.2022.07.014
  研究论文与报告 本期目录 | 过刊浏览 | 高级检索 |
刺芹侧耳软腐病病原菌分泌系统组成、蛋白互作分析及效应蛋白预测
谷彤彤1,2, 赵爽1,2, 宋爽1,2, 刘宇1,2, 荣成博1,2*
1 北京市农林科学院 植物保护研究所, 北京 100097;
2 北京市食用菌工程技术研究中心, 北京 100097
Secretion System Composition, Protein Interaction Analysis and Effector Proteins Prediction of Pleurotus eryngii Soft Rot Pathogen
GU Tong-Tong1,2, ZHAO Shuang1,2, SONG Shuang1,2, LIU Yu1,2, RONG Cheng-Bo1,2*
1 Institute of Plant Protection, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China;
2 Beijing Engineering Research Center for Edible Mushroom, Beijing 100097, China
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摘要 软 腐 病 是 刺 芹 侧 耳 (Pleurotus eryngii) ( 商 品 名 : 杏 鲍 菇) 的 主 要 病 害 ,北 京 欧 文 氏 菌 (Erwinia beijingensis)是该病的病原菌 ,目前该病原菌的致病机理尚不明确。本研究采用三代 Nanopore 与二代 Illumina 平台结合的方法获得了北京欧文氏菌的全基因组信息(0 gap),并进行了基因功能注释和分泌系 统组成分析。在 STRING 网站(https://www.string-db.org/)预测了分泌系统蛋白的相互作用并绘制了蛋白 互作网络 ;用 SecReT6 和 Effectivet3 软件预测了分泌的效应蛋白。北京欧文氏菌基因组大小为 4.11 Mb, GC 含量为 50.17%,具有编码基因 3 815 个。北京欧文氏菌具有型(type secretion system, T1SS)、型 (T3SS)、型(T4SS)和型分泌系统(T6SS)。T1SS 由 3 个蛋白组成,包含内膜(inner membrane, IM)蛋白、 膜融合蛋白(membrane fusion protein, MFP)和外膜(outer membrane, OM)蛋白 ,其中 2 对蛋白之间具有相 互作用,推测分泌 36 个效应蛋白。T3SS 包括 9 个保守的 Hrp (hrp conserved, Hrc)蛋白和 11 个过敏反应与 致病性(hypersensitive response and pathogenicity, Hrp)蛋白,组成 88 个蛋白互作对,预测分泌 154 个效应蛋 白。T4SS 包括 9 个毒性蛋白 B (virulence B, VirB)蛋白,组成 21 对蛋白的相互作用关系,推测分泌 11 个效 应蛋白。北京欧文氏菌具有 2 个 T6SS,T6SS-1 由 13 个 T6SS 蛋白和 11 个未知蛋白组成,形成 104 个蛋白 互作对,T6SS-2 包括 11 个蛋白和 8 个未知蛋白,组成 55 个蛋白互作对,SecReT6 软件预测 T6SS 分泌 6 个 效应蛋白。58 个分泌系统基因在病原菌侵染宿主前、后均具有表达 ,其中 34 个基因具有显著的表达差 异。本研究从基因组层面上解析了北京欧文氏菌分泌系统的组成、蛋白互作和分泌的效应蛋白,为该菌 致病相关基因的解析提供了基础数据,为深入解析其致病机理提供理论依据。
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谷彤彤
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关键词 软腐病北京欧文氏菌基因组分泌系统蛋白互作    
Abstract:Soft rot disease which is caused by Erwinia beijingensis is the major disease in Pleurotus eryngii. Until now, the pathogenic mechanism of E. beijingensis is unknown. In the present study, the whole genome information of E. beijingensis was obtained by Nanopore and Illumina platform, the gene function annotation and secretion system composition were analyzed. The protein interactions of secretion system were predicted by string website (https://www. string-db. org/), and the effector proteins were predicted by SecRet6 and effectvet3 software. The genome size of E. beijingensis was 4.11 Mb, with GC% of 50.17%, encoding 3 815 genes. E. beijingensis displayed type , type , type and type secretion system (T1SS, T3SS, T4SS and T6SS). T1SS was composed of 3 proteins, including inter membrane (IM) component, membrane fusion protein (MFP) and outer membrane (OM) protein channel, among which 2 pairs of proteins have interactions. It is speculated that 36 proteins were secreted through T1SS. T3SS consisted of 9 Hrc proteins and 11 Hrp proteins, with 88 pairs of protein interactions, and 154 effector proteins were predicted to be secreted by the T3SS. T4SS consisted of 9 VirB proteins with 21 pairs of protein interactions and 11 effector proteins. E.beijingensis had 2 T6SS, T6SS-1 was composed of 13 T6SS proteins and 11 hypothetical proteins, 104 protein interactions were formed between T6SS proteins. T6SS-2 included 11 T6SS proteins and 8 hypothetical proteins, 55 pairs of protein interactions were found in T6SS-2. It was predicted that 6 effector proteins secreted into host cell by T6SS. 58 secretion system genes could be expressed during infection, and 34 genes showed significant different expression. This study analyzed the composition, protein interactions and effector proteins of secretion systems in E. beijingensis from the genomic level, which provided basic data for the analysis of pathogenic genes and theoretical basis for further analysis of pathogenic mechanism.
Key wordsSoft rot disease    Erwinia beijingensis    Genome    Secretion system    Protein interaction
收稿日期: 2021-08-22     
ZTFLH:  S6  
通讯作者: *woshiboer@163.com   
引用本文:   
谷彤彤, 赵爽, 宋爽, 刘宇, 荣成博. 刺芹侧耳软腐病病原菌分泌系统组成、蛋白互作分析及效应蛋白预测[J]. 农业生物技术学报, 2022, 30(7): 1368-1384.
GU Tong-Tong, ZHAO Shuang, SONG Shuang, LIU Yu, RONG Cheng-Bo. Secretion System Composition, Protein Interaction Analysis and Effector Proteins Prediction of Pleurotus eryngii Soft Rot Pathogen. 农业生物技术学报, 2022, 30(7): 1368-1384.
链接本文:  
http://journal05.magtech.org.cn/Jwk_ny/CN/10.3969/j.issn.1674-7968.2022.07.014     或     http://journal05.magtech.org.cn/Jwk_ny/CN/Y2022/V30/I7/1368
 
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