计算生物学

Vol.2 No.2 (June 2012)

黄单胞菌双组分信号转导系统的生物信息学分析
Bioinformatics Analysis of Two-Component Singal Transduction Systems of Xanthomonas

 

作者:

胡 芬 , 邹 霞 , 梅 寒 , 唐 清 , 何 进 :华中农业大学生命科学技术学院,农业微生物学国家重点实验室

 

关键词:

黄单胞菌双组分系统调控网络致病性生物信息学Xanthomonas Two-Component System (TCS) Regulatory Network Pathogenicity Bioinformatics

 

摘要:

双组分信号转导系统是原核生物感知与响应刺激的重要代谢调节机制,广泛参与细菌的各种生理生化反应。本文采用生物信息学手段,利用多序列对比、系统进化树分析、跨膜区分析、二级结构预测等,对已完成全基因组测序的8株黄单胞菌中的双组分进行系统分类、结构分析和功能预测,初步构建了部分双组分信号转导系统的调控网络关系图揭示了黄单胞菌致病性与双组份之间的联系,并初步阐明了黄单胞菌种间的进化关系,同时也为寻找新的药物靶标奠定了基础。

Two-component signal transduction systems (TCSs) represent the dominant sense-response mechanisms to regulate a wide array of physiological pathways in prokaryotes. TCSs can regulate the majority of physiological processes, including bacterial growth, chemotaxis, osmoregulation, sporulation, biosynthesis of secondary metabolites, virulence of pathogens, biofilm formation, etc. In this paper, we predicted all the TCS genes and comprehensively analyzed their biological functions in the whole genomes of 8 Xanthomonas strains. We depicted a systematic classification of these proteins, then analyzed their structures and putative biological functions by sequence alignment, multiple sequence alignment, phylogenetic tree analysis, Hidden Markov Model (HMM), secondary structure prediction etc, and finally constructed the regulatory networks in which some TCSs involved. Our research revealed the relationship between TCS genes and the pathogenicity of Xanthomonas, as well as the possible evolutionary relationship; furthermore, our results could lay the foundation for exploring new drug targets.

 


文章引用:

胡 芬 , 邹 霞 , 梅 寒 , 唐 清 , 何 进 (2012) 黄单胞菌双组分信号转导系统的生物信息学分析。 计算生物学, 2, 11-25. doi: 10.12677/hjcb.2012.22002

 

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