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Proteotyping bacteria: Characterization differentiation and identification of pneumococcus and other species within the Mitis Group of the genus Streptococcus by tandem mass spectrometry proteomics

机译:蛋白质分型细菌:通过串联质谱蛋白质组学对肺炎球菌和链球菌属Mitis组内其他物种进行鉴定分化和鉴定

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摘要

A range of methodologies may be used for analyzing bacteria, depending on the purpose and the level of resolution needed. The capability for recognition of species distinctions within the complex spectrum of bacterial diversity is necessary for progress in microbiological research. In clinical settings, accurate, rapid and cost-effective methods are essential for early and efficient treatment of infections. Characterization and identification of microorganisms, using, bottom-up proteomics, or “proteotyping”, relies on recognition of species-unique or associated peptides, by tandem mass spectrometry analyses, dependent upon an accurate and comprehensive foundation of genome sequence data, allowing for differentiation of species, at amino acid-level resolution. In this study, the high resolution and accuracy of MS/MS-based proteotyping was demonstrated, through analyses of the three phylogenetically and taxonomically most closely-related species of the Mitis Group of the genus Streptococcus: i.e., the pathogenic species, Streptococcus pneumoniae (pneumococcus), and the commensal species, Streptococcus pseudopneumoniae and Streptococcus mitis. To achieve high accuracy, a genome sequence database used for matching peptides was created and carefully curated. Here, MS-based, bottom-up proteotyping was observed and confirmed to attain the level of resolution necessary for differentiating and identifying the most-closely related bacterial species, as demonstrated by analyses of species of the Streptococcus Mitis Group, even when S. pneumoniae were mixed with S. pseudopneumoniae and S. mitis, by matching and identifying more than 200 unique peptides for each species.
机译:根据目的和所需的分辨率水平,可以使用多种方法来分析细菌。在微生物研究的复杂范围内识别物种区别的能力对于微生物研究的进步是必需的。在临床环境中,准确,快速和经济高效的方法对于感染的早期有效治疗至关重要。使用自下而上的蛋白质组学或“蛋白质分型”对微生物进行表征和鉴定,取决于通过串联质谱分析对物种唯一或相关肽的识别,这取决于基因组序列数据的准确和全面基础,从而可以区分种,以氨基酸水平的分辨率。在这项研究中,通过分析链球菌属Mitis组的三个系统发育和分类学上最密切相关的物种,即病原体肺炎链球菌((Streptococcus pneumoniae)(肺炎球菌)和共生种(伪肺炎链球菌和微生物链球菌)。为了获得高精度,创建了用于匹配肽的基因组序列数据库,并进行了精心策划。在这里,观察到并确认了基于MS的自下而上的蛋白质分型方法,即使对于肺炎链球菌,即使通过对链球菌Mitis组的物种进行分析,也能达到区分和鉴定最密切相关细菌物种所需的分辨率水平。通过匹配和鉴定每种物种200多种独特的肽,将它们与假性肺炎链球菌和微生物链球菌混合。

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