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基于全基因组多位点序列分型的粘质沙雷氏菌分离株的流行病学分型。

Epidemiological Typing of Serratia marcescens Isolates by Whole-Genome Multilocus Sequence Typing.

机构信息

University of Groningen, University Medical Center Groningen, Department of Medical Microbiology and Infection Prevention, Groningen, The Netherlands.

bioMérieux, Data Analytics Department, Applied Maths NV, Sint-Martens-Latem, Belgium.

出版信息

J Clin Microbiol. 2019 Mar 28;57(4). doi: 10.1128/JCM.01652-18. Print 2019 Apr.

Abstract

is an opportunistic bacterial pathogen. It is notorious for its increasing antimicrobial resistance and its potential to cause outbreaks of colonization and infections, predominantly in neonatal intensive care units (NICUs). There, its spread requires rapid infection control response. To understand its spread, detailed molecular typing is key. We present a whole-genome multilocus sequence typing (wgMLST) method for Using a set of 299 publicly available whole-genome sequences (WGS), we developed an initial wgMLST system consisting of 9,377 gene loci. This included 1,455 loci occurring in all reference genomes and 7,922 accessory loci. This closed system was validated using three geographically diverse collections of consisting of 111 clinical isolates implicated in nosocomial dissemination events in three hospitals. The validation procedure showed a full match between epidemiological data and the wgMLST analyses. We set the cutoff value for epidemiological (non)relatedness at 20 different alleles, though for the majority of outbreak-clustered isolates, this difference was limited to 4 alleles. This shows that the wgMLST system for provides prospects for successful future monitoring for the epidemiological containment of this opportunistic pathogen.

摘要

是一种机会性病原体。它以其不断增加的抗微生物药物耐药性和引起定植和感染爆发的潜力而臭名昭著,主要发生在新生儿重症监护病房(NICUs)。在那里,它的传播需要快速的感染控制反应。为了了解其传播方式,详细的分子分型是关键。我们提出了一种用于的全基因组多位点序列分型(wgMLST)方法。使用一组 299 个公开可用的全基因组序列(WGS),我们开发了一个初始的 wgMLST 系统,由 9377 个基因座组成。其中包括所有参考基因组中存在的 1455 个基因座和 7922 个辅助基因座。该封闭系统通过三个地理位置不同的包含三个医院中与医院获得性传播事件有关的 111 株临床分离株的集合进行了验证。验证程序显示,流行病学数据和 wgMLST 分析之间完全匹配。我们将流行病学(非)相关性的截止值设定为 20 个不同的等位基因,但对于大多数爆发聚类分离株,这种差异仅限于 4 个等位基因。这表明用于的 wgMLST 系统为成功监测这种机会性病原体的流行病学控制提供了前景。

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