Development and implementation of a core genome multilocus sequence typing scheme for Yersinia enterocolitica: a tool for surveillance and outbreak detection.

IF 6.1 2区 医学 Q1 MICROBIOLOGY Journal of Clinical Microbiology Pub Date : 2024-08-14 Epub Date: 2024-07-11 DOI:10.1128/jcm.00040-24
Joao Pires, Lin T Brandal, Umaer Naseer
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Abstract

Yersinia enterocolitica (Y. enterocolitica) is the most frequent etiological agent of yersiniosis and has been responsible for several national outbreaks in Norway and elsewhere. A standardized high-resolution method, such as core genome Multilocus Sequence Typing (cgMLST), is needed for pathogen traceability at the national and international levels. In this study, we developed and implemented a cgMLST scheme for Y. enterocolitica. We designed a cgMLST scheme in SeqSphere + using high-quality genomes from different Y. enterocolitica biotype sublineages. The scheme was validated if more than 95% of targets were found across all tested Y. enterocolitica: 563 Norwegian genomes collected between 2012 and 2022 and 327 genomes from public data sets. We applied the scheme to known outbreaks to establish a threshold for identifying major complex types (CTs) based on the number of allelic differences. The final cgMLST scheme included 2,582 genes with a median of 97.9% (interquartile range 97.6%-98.8%) targets found across all tested genomes. Analysis of outbreaks identified all outbreak strains using single linkage clustering at four allelic differences. This threshold identified 311 unique CTs in Norway, of which CT18, CT12, and CT5 were identified as the most frequently associated with outbreaks. The cgMLST scheme showed a very good performance in typing Y. enterocolitica using diverse data sources and was able to identify outbreak clusters. We recommend the implementation of this scheme nationally and internationally to facilitate Y. enterocolitica surveillance and improve outbreak response in national and cross-border outbreaks.

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开发和实施小肠结肠耶尔森菌核心基因组多焦点序列分型方案:监测和疫情检测工具。
小肠结肠炎耶尔森菌(Y. enterocolitica)是小肠结肠炎最常见的病原体,曾在挪威和其他国家多次爆发。需要一种标准化的高分辨率方法,如核心基因组多焦点序列分型(cgMLST),以便在国家和国际层面对病原体进行追溯。在这项研究中,我们为小肠结肠炎病毒(Y. enterocolitica)开发并实施了一种 cgMLST 方案。我们利用来自不同小肠结肠炎病毒生物型亚系的高质量基因组,在 SeqSphere + 中设计了一个 cgMLST 方案。如果在所有测试的小肠结肠炎病毒(2012 年至 2022 年间收集的 563 个挪威基因组和来自公共数据集的 327 个基因组)中发现 95% 以上的目标,该方案就得到了验证。我们将该方案应用于已知的疫情,根据等位基因差异的数量确定识别主要复杂类型(CT)的阈值。最终的 cgMLST 方案包括 2,582 个基因,在所有测试基因组中发现的目标中位数为 97.9%(四分位间范围 97.6%-98.8%)。对疫情爆发的分析采用单链聚类,以四个等位基因差异为阈值,确定了所有疫情爆发的菌株。这一阈值在挪威确定了 311 个独特的 CT,其中 CT18、CT12 和 CT5 被确定为最常与疫情爆发相关的 CT。cgMLST 方案在利用各种数据源对小肠结肠炎病毒进行分型方面表现出了非常好的性能,并能识别疫情集群。我们建议在国内和国际上实施这一方案,以促进对小肠结肠炎的监测,并改善国内和跨境疫情爆发时的应对措施。
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来源期刊
Journal of Clinical Microbiology
Journal of Clinical Microbiology 医学-微生物学
CiteScore
17.10
自引率
4.30%
发文量
347
审稿时长
3 months
期刊介绍: The Journal of Clinical Microbiology® disseminates the latest research concerning the laboratory diagnosis of human and animal infections, along with the laboratory's role in epidemiology and the management of infectious diseases.
期刊最新文献
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