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Molecular Risk Assessment and Epidemiological Typing of Shiga Toxin-Producing Escherichia coli by Using a Novel PCR Binary Typing System

机译:使用新型PCR二元分型系统的产志贺毒素大肠杆菌的分子风险评估和流行病学分型

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Shiga toxin-producing Escherichia coli (STEC) is a zoonotic pathogen that causes diarrheal disease in humans and is of public health concern because of its ability to cause outbreaks and severe disease such as hemorrhagic colitis or hemolytic-uremic syndrome. More than 400 serotypes of STEC have been implicated in outbreaks and sporadic human disease. The aim of this study was to develop a PCR binary typing (P-BIT) system that could be used to aid in risk assessment and epidemiological studies of STEC by using gene targets that would represent a broad range of STEC virulence genes. We investigated the distribution of 41 gene targets in 75 O157 and non-O157 STEC isolates and found that P-BIT provided 100% typeability for isolates, gave a diversity index of 97.33% (compared with 99.28% for XbaI pulsed-field gel electrophoresis [PFGE] typing), and produced 100% discrimination for non-O157 STEC isolates. We identified 24 gene targets that conferred the same level of discrimination and produced the same cluster dendrogram as the 41 gene targets initially examined. P-BIT clustering identified O157 from non-O157 isolates and identified seropathotypes associated with outbreaks and severe disease. Numerical analysis of the P-BIT data identified several genes associated with human or nonhuman sources as well as high-risk seropathotypes. We conclude that P-BIT is a useful approach for subtyping, offering the advantage of speed, low cost, and potential for strain risk assessment that can be used in tandem with current molecular typing schema for STEC.
机译:产生志贺毒素的大肠杆菌(STEC)是一种人畜共患病原体,可引起人类腹泻病,并且由于其引起疾病暴发和严重疾病(如出血性结肠炎或溶血尿毒综合症)的能力而受到公众健康关注。已有超过400种血清型STEC与疾病暴发和散发性人类疾病有关。这项研究的目的是开发一种PCR二元分型(P-BIT)系统,该系统可通过使用代表广泛STEC毒力基因的基因靶点来协助STEC进行风险评估和流行病学研究。我们调查了75个O157和非O157 STEC分离株中41个基因靶标的分布,发现P-BIT为分离株提供了100%的可打字性,多样性指数为97.33%(XbaI脉冲场凝胶电泳为99.28%[ PFGE]分型),并对非O157 STEC分离株产生100%的区分度。我们鉴定了24个基因靶标,它们与最初检查的41个基因靶标具有相同的区分度,并产生相同的簇树状图。 P-BIT聚类从非O157分离物中鉴定出O157,并鉴定了与暴发和严重疾病相关的血清型。 P-BIT数据的数值分析确定了与人类或非人类来源以及高危血清型有关的几种基因。我们得出的结论是,P-BIT是用于子类型化的有用方法,具有速度快,成本低以及潜在的应变风险评估的优势,可以与当前的STEC分子分型方案一起使用。

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