安徽农业科学2017,Vol.45Issue(30) :128-130,163.

枯草芽孢杆菌subtilis str.168双精氨酸途径分泌蛋白预测及功能分析

Prediction and Functional Analysis of Secreted Proteins of Twin-Arginine Translocation Pathway in Bacillus subtilis subsp.subtilis str. 168

朱德全 韩诚武 尹红 张路路 白雪 姚嘉 邢雷 张跃华 卢伟 栾积毅 刘向东
安徽农业科学2017,Vol.45Issue(30) :128-130,163.

枯草芽孢杆菌subtilis str.168双精氨酸途径分泌蛋白预测及功能分析

Prediction and Functional Analysis of Secreted Proteins of Twin-Arginine Translocation Pathway in Bacillus subtilis subsp.subtilis str. 168

朱德全 1韩诚武 2尹红 1张路路 1白雪 2姚嘉 3邢雷 3张跃华 1卢伟 3栾积毅 3刘向东3
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作者信息

  • 1. 佳木斯大学理学院,黑龙江佳木斯154007
  • 2. 佳木斯大学生命科学学院,黑龙江佳木斯154007
  • 3. 佳木斯大学机械工程学院,黑龙江佳木斯154007
  • 折叠

摘要

[目的]对枯草芽孢杆菌subtilis str.168双精氨酸转运途径(Tat)分泌蛋白进行预测和功能分析.[方法]从NCBI中选取枯草芽孢杆菌subtilis str.168基因组注释的蛋白质氨基酸序列,然后用SignalP 4.0、LipoP、TatP、TMHMM 2.0软件分析该基因组中双精氨酸途径的分泌蛋白,同时采用COG功能数据库对预测的分泌蛋白进行功能注释和聚类分析.[结果]通过分析发现108个有motif没有酶切位点的Tat信号肽蛋白、25个有酶切位点没有motif的Tat信号肽蛋白、124个既有酶切位点也有motif的Tat信号肽蛋白,其中105个蛋白归为Tat途径的分泌蛋白.[结论]对枯草芽孢杆菌Tat途径分泌蛋白的基因组预测和功能分析,将为分析该菌胞外蛋白的分泌机制打下基础.

Abstract

[Objective]Prediction and functional analysis of secreted proteins of Twin-Arginine Translocation (Tat) pathway Bacillus subtilis str.168 were conducted.[ Method] The genome sequences of B.subtilis subsp.subtilis str.168 were used to predict to secretory proteins of Tat pathway and functional analysis.SignalP 4.0, LipoP, TatP, TMHMM 2.0 were used to predict secretory protein of Tat pathway.Function of secretory proteins was also analyzed by COG ( Cluster of Orthologous Groups of proteins) database.[ Result] There were 108 Tat signal pep-tides proteins containing motif without cleavage site of enzyme, 25 proteins containing cleavage site of enzyme without motif, 124 proteins con-taining cleavage site of enzyme and motif.105 proteins were classified as proteins secreted by Tat pathway in these proteins.[ Conclusion] These results will lay the foundation for analyzing the secretion mechanism of extracellular protein in B.subtilis.

关键词

枯草芽孢杆菌/分泌蛋白/双精氨酸分泌途径/功能分析

Key words

Bacillus subtilis/Secreted proteins/Tat secretion pathway/Function analysis

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基金项目

黑龙江省教育厅科研项目(2016-KYYWF-0544)

出版年

2017
安徽农业科学
安徽省农业科学院

安徽农业科学

影响因子:0.413
ISSN:0517-6611
参考文献量2
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