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澳大利亚大肠杆菌“同一个健康”基因组监测参数

Parameters for one health genomic surveillance of Escherichia coli from Australia.

作者信息

Watt Anne E, Cummins Max L, Donato Celeste M, Wirth Wytamma, Porter Ashleigh F, Andersson Patiyan, Donner Erica, Jennison Amy V, Seemann Torsten, Djordjevic Steven P, Howden Benjamin P

机构信息

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

Department of Microbiology and Immunology at The Peter Doherty Institute for Infection and Immunity, The University of Melbourne, Melbourne, Victoria, Australia.

出版信息

Nat Commun. 2025 Jan 2;16(1):17. doi: 10.1038/s41467-024-55103-2.

Abstract

Genomics is a cornerstone of modern pathogen epidemiology yet demonstrating transmission in a One Health context is challenging, as strains circulate and evolve within and between diverse hosts and environments. To identify phylogenetic linkages and better define relevant measures of genomic relatedness in a One Health context, we collated 5471 Escherichia coli genome sequences from Australia originating from humans (n = 2996), wild animals (n = 870), livestock (n = 649), companion animals (n = 375), environmental sources (n = 292) and food (n = 289) spanning over 36 years. Of the 827 multi-locus sequence types (STs) identified, 10 STs were commonly associated with cross-source genomic clusters, including the highly clonal ST131, pandemic zoonotic lineages such as ST95, and emerging human ExPEC ST1193. Here, we show that assessing genomic relationships at ≤ 100 SNP threshold enabled detection of cross-source linkage otherwise obscured when applying typical outbreak-oriented relatedness thresholds ( ≤ 20 SNPs) and should be considered in interrogation of One Health genomic datasets.

摘要

基因组学是现代病原体流行病学的基石,但在“同一健康”背景下证明传播具有挑战性,因为菌株在不同宿主和环境内部及之间循环和进化。为了在“同一健康”背景下识别系统发育联系并更好地定义基因组相关性的相关指标,我们整理了来自澳大利亚的5471个大肠杆菌基因组序列,这些序列来自人类(n = 2996)、野生动物(n = 870)、家畜(n = 649)、伴侣动物(n = 375)、环境来源(n = 292)和食物(n = 289),时间跨度超过36年。在鉴定出的827种多位点序列类型(STs)中,有10种STs通常与跨源基因组簇相关,包括高度克隆的ST131、大流行的人畜共患病谱系如ST95,以及新兴的人类肠外致病性大肠杆菌ST1193。在这里,我们表明,在≤100个单核苷酸多态性(SNP)阈值下评估基因组关系能够检测到应用典型的面向暴发的相关性阈值(≤20个SNP)时会被掩盖的跨源联系,并且在对“同一健康”基因组数据集进行询问时应予以考虑。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3473/11696363/c728fdbeeb82/41467_2024_55103_Fig1_HTML.jpg

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