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Diversity and distribution of nuclease bacteriocins in bacterial genomes revealed using Hidden Markov Models

机译:使用隐马尔可夫模型揭示细菌基因组中核酸酶细菌素的多样性和分布

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摘要

Bacteria exploit an arsenal of antimicrobial peptides and proteins to compete with each other. Three main competition systems have been described: type six secretion systems (T6SS); contact dependent inhibition (CDI); and bacteriocins. Unlike T6SS and CDI systems, bacteriocins do not require contact between bacteria but are diffusible toxins released into the environment. Identified almost a century ago, our understanding of bacteriocin distribution and prevalence in bacterial populations remains poor. In the case of protein bacteriocins, this is because of high levels of sequence diversity and difficulties in distinguishing their killing domains from those of other competition systems. Here, we develop a robust bioinformatics pipeline exploiting Hidden Markov Models for the identification of nuclease bacteriocins (NBs) in bacteria of which, to-date, only a handful are known. NBs are large (>60 kDa) toxins that target nucleic acids (DNA, tRNA or rRNA) in the cytoplasm of susceptible bacteria, usually closely related to the producing organism. We identified >3000 NB genes located on plasmids or on the chromosome from 53 bacterial species distributed across different ecological niches, including human, animals, plants, and the environment. A newly identified NB predicted to be specific for Pseudomonas aeruginosa (pyocin Sn) was produced and shown to kill P. aeruginosa thereby validating our pipeline. Intriguingly, while the genes encoding the machinery needed for NB translocation across the cell envelope are widespread in Gram-negative bacteria, NBs are found exclusively in γ-proteobacteria. Similarity network analysis demonstrated that NBs fall into eight groups each with a distinct arrangement of protein domains involved in import. The only structural feature conserved across all groups was a sequence motif critical for cell-killing that is generally not found in bacteriocins targeting the periplasm, implying a specific role in translocating the nuclease to the cytoplasm. Finally, we demonstrate a significant association between nuclease colicins, NBs specific for Escherichia coli, and virulence factors, suggesting NBs play a role in infection processes, most likely by enabling pathogens to outcompete commensal bacteria.
机译:细菌利用一系列抗菌肽和蛋白质相互竞争。已经描述了三个主要的竞争系统:第六类分泌系统(T6SS);接触依赖性抑制(CDI);和细菌素。与T6SS和CDI系统不同,细菌素不需要细菌之间的接触,而是释放到环境中的可扩散毒素。在将近一个世纪之前就已经确定,我们对细菌素在细菌种群中的分布和流行的了解仍然很差。就蛋白质细菌素而言,这是由于序列多样性水平高以及难以将其杀伤域与其他竞争系统的杀伤域区分开。在这里,我们利用隐马尔可夫模型开发了强大的生物信息学流水线,用于鉴定迄今为止只有极少数细菌的细菌中的核酸酶细菌素(NBs)。 NB是一种大的(> 60 kDa)毒素,可靶向易感细菌细胞质中的核酸(DNA,tRNA或rRNA),通常与生产生物密切相关。我们从分布在不同生态位(包括人类,动物,植物和环境)的53种细菌中,鉴定了位于质粒或染色体上的> 3000个NB基因。产生了一个新鉴定出的,预计对铜绿假单胞菌(pyocin Sn)特异的NB,并证明它可以杀死铜绿假单胞菌,从而验证了我们的产品线。有趣的是,尽管编码革兰氏阴性细菌中广泛存在的NB跨细胞膜转运所需的机制的编码基因,但NBs仅存在于γ-变形细菌中。相似性网络分析表明,NBs分为八类,每类都有与进口相关的蛋白质结构域的独特排列。所有组中唯一保守的结构特征是对细胞杀伤至关重要的序列基序,通常在靶向周质的细菌素中没有发现,这暗示着核酸酶向细胞质转运的特定作用。最后,我们证明了核酸酶大肠菌素,特异于大肠杆菌的NBs和毒力因子之间的显着关联,这表明NBs在感染过程中起作用,最有可能是通过使病原体胜过共生细菌来实现的。

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