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




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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