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利用全基因组测序对嗜肺军团菌暴发进行实时调查。

Real-time investigation of a Legionella pneumophila outbreak using whole genome sequencing.

作者信息

Graham R M A, Doyle C J, Jennison A V

机构信息

Public Health Microbiology, Communicable Disease,Department of Health, Forensic and Scientific Services, Brisbane, QLD,Australia.

出版信息

Epidemiol Infect. 2014 Nov;142(11):2347-51. doi: 10.1017/S0950268814000375. Epub 2014 Feb 27.

Abstract

Legionella pneumophila is the main pathogen responsible for outbreaks of Legionnaires' disease, which can be related to contaminated water supplies such as cooling towers or water pipes. We combined conventional molecular methods and whole genome sequence (WGS) analysis to investigate an outbreak of L. pneumophila in a large Australian hospital. Typing of these isolates using sequence-based typing and virulence gene profiling, was unable to discriminate between outbreak and non-outbreak isolates. WGS analysis was performed on isolates during the outbreak, as well as on unlinked isolates from the Public Health Microbiology reference collection. The more powerful resolution provided by analysis of whole genome sequences allowed outbreak isolates to be distinguished from isolates that were temporally and spatially unassociated with the outbreak, demonstrating that this technology can be used in real-time to investigate L. pneumophila outbreaks.

摘要

嗜肺军团菌是导致军团病暴发的主要病原体,这可能与冷却塔或水管等受污染的供水系统有关。我们结合传统分子方法和全基因组序列(WGS)分析,对澳大利亚一家大型医院的嗜肺军团菌暴发进行调查。使用基于序列的分型和毒力基因谱分析对这些分离株进行分型,无法区分暴发株和非暴发株。在暴发期间对分离株以及公共卫生微生物参考库中无关联的分离株进行了WGS分析。全基因组序列分析提供的更强分辨率使暴发株能够与在时间和空间上与暴发无关的分离株区分开来,表明该技术可用于实时调查嗜肺军团菌暴发。

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