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用于鼠伤寒沙门氏菌DT8疫情回顾性调查的全基因组测序

Whole Genome Sequencing for the Retrospective Investigation of an Outbreak of Salmonella Typhimurium DT 8.

作者信息

Ashton Philip M, Peters Tansy, Ameh Linda, McAleer Ralph, Petrie Stewart, Nair Satheesh, Muscat Ivan, de Pinna Elizabeth, Dallman Tim

机构信息

Public Health England.

Public Health England, London, UK.

出版信息

PLoS Curr. 2015 Feb 10;7:ecurrents.outbreaks.2c05a47d292f376afc5a6fcdd8a7a3b6. doi: 10.1371/currents.outbreaks.2c05a47d292f376afc5a6fcdd8a7a3b6.

Abstract

BACKGROUND

Salmonella enterica serovar Typhimurium DT8 is uncommon within the European Union. An increase in this phage type was reported in the summer of 2013 in the States of Jersey.

METHODS

A total of 21 human cases with this phage type were microbiologically confirmed. Salmonella isolates from mayonnaise made using raw eggs were also confirmed as being Salmonella Typhimurium DT8. The epidemiological investigations strongly supported a link between mayonnaise consumption and illness. Whole genome sequencing (WGS) was used to retrospectively investigate this outbreak with a view to assess the similarity between the suspect food and the human isolates and to characterise a known point source outbreak to assist in development of algorithms for outbreak detection.

RESULTS

Sequence data showed that the outbreak associated isolates, including the food isolates, formed a tightly clustered monophyletic group, with a maximum pairwise distance of 3 single nucleotide polymorphisms.

CONCLUSIONS

WGS data is useful in confirming the causative agent of outbreaks where food and clinical isolates are available. This dataset, comprising a known outbreak, will be useful in the development of automatic algorithms for outbreak detection.

摘要

背景

肠炎沙门氏菌鼠伤寒血清型DT8在欧盟并不常见。2013年夏天,泽西岛报告了这种噬菌体类型的增加。

方法

共有21例这种噬菌体类型的人类病例经微生物学确诊。从使用生鸡蛋制作的蛋黄酱中分离出的沙门氏菌也被确认为鼠伤寒沙门氏菌DT8。流行病学调查有力地支持了食用蛋黄酱与疾病之间的联系。全基因组测序(WGS)被用于回顾性调查此次疫情,以评估可疑食品与人类分离株之间的相似性,并对已知的点源疫情进行特征分析,以协助开发疫情检测算法。

结果

序列数据显示,包括食品分离株在内的与疫情相关的分离株形成了一个紧密聚类的单系群,最大成对距离为3个单核苷酸多态性。

结论

在有食品和临床分离株的情况下,WGS数据有助于确认疫情的病原体。这个包含已知疫情的数据集将有助于开发自动疫情检测算法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7d4b/4336196/d2e192cfdfcc/Screen-Shot-2014-12-21-at-15.24.22.jpg

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