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对耶尔森氏假结核菌全国持续性疫情的基因组学见解

Genomic Insights into a Sustained National Outbreak of Yersinia pseudotuberculosis.

作者信息

Williamson Deborah A, Baines Sarah L, Carter Glen P, da Silva Anders Gonçalves, Ren Xiaoyun, Sherwood Jill, Dufour Muriel, Schultz Mark B, French Nigel P, Seemann Torsten, Stinear Timothy P, Howden Benjamin P

机构信息

Doherty Applied Microbial Genomics, Department of Microbiology & Immunology, The University of Melbourne at The Doherty Institute for Infection and Immunity, Melbourne, Australia.

Microbiological Diagnostic Unit Public Health Laboratory, Department of Microbiology & Immunology, The University of Melbourne at The Doherty Institute for Infection and Immunity, Melbourne, Australia

出版信息

Genome Biol Evol. 2016 Dec 1;8(12):3806-3814. doi: 10.1093/gbe/evw285.

DOI:10.1093/gbe/evw285
PMID:28173076
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5521734/
Abstract

In 2014, a sustained outbreak of yersiniosis due to Yersinia pseudotuberculosis occurred across all major cities in New Zealand (NZ), with a total of 220 laboratory-confirmed cases, representing one of the largest ever reported outbreaks of Y. pseudotuberculosis. Here, we performed whole genome sequencing of outbreak-associated isolates to produce the largest population analysis to date of Y. pseudotuberculosis, giving us unprecedented capacity to understand the emergence and evolution of the outbreak clone. Multivariate analysis incorporating our genomic and clinical epidemiological data strongly suggested a single point-source contamination of the food chain, with subsequent nationwide distribution of contaminated produce. We additionally uncovered significant diversity in key determinants of virulence, which we speculate may help explain the high morbidity linked to this outbreak.

摘要

2014年,新西兰所有主要城市都爆发了由假结核耶尔森菌引起的耶尔森菌病疫情,共有220例实验室确诊病例,这是有记录以来最大规模的假结核耶尔森菌疫情之一。在此,我们对与疫情相关的分离株进行了全基因组测序,以进行迄今为止最大规模的假结核耶尔森菌群体分析,使我们有前所未有的能力了解疫情克隆株的出现和演变。结合我们的基因组和临床流行病学数据进行的多变量分析有力地表明,食物链存在单点源污染,随后受污染的农产品在全国范围内传播。我们还发现了毒力关键决定因素的显著多样性,我们推测这可能有助于解释此次疫情相关的高发病率。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0109/5521734/f35a78421014/evw285f3p.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0109/5521734/1edcf5dcceca/evw285f1p.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0109/5521734/67bac4de856b/evw285f2p.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0109/5521734/f35a78421014/evw285f3p.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0109/5521734/1edcf5dcceca/evw285f1p.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0109/5521734/67bac4de856b/evw285f2p.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0109/5521734/f35a78421014/evw285f3p.jpg

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