贝叶斯系统地理分析推断耐药肠炎沙门氏菌的跨界传播动力学。

IF 3.8 2区 生物学 Q2 MICROBIOLOGY
Microbiology spectrum Pub Date : 2025-03-04 Epub Date: 2025-02-07 DOI:10.1128/spectrum.02292-24
Pei Yee Woh, Yehao Chen, Kevin Wing Hin Kwok, Jose Quiroga
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引用次数: 0

摘要

肠炎沙门氏菌(S. Enteritidis)是世界范围内人类沙门氏菌病的主要原因,有通过受污染的食品和动物传播的趋势。在香港,有相当比例的食物是进口的,而许多个案往往是因食用受污染的食物而引起的,因此,对耐药肠炎沙门氏菌进行地域监测,对于采取强有力的公共卫生和食物安全措施十分重要。我们分析了来自香港、澳大利亚、加拿大、中国大陆、美国、南非、台湾和英国的207株肠炎沙门氏菌的全基因组,以检查相关的抗菌素耐药性和大陆间的传播动态。系统发育聚类推断和贝叶斯系统地理分析。总体而言,序列型ST11菌株占优势(92.8%,192/207)。共鉴定出5个系统基因组聚类A ~ E,其中大部分来自中国大陆和香港的分离株属于聚类E。在鉴定的22个质粒类型中,IncX1在亚洲分离株中占主导地位。大部分毒力基因分布在沙门氏菌致病性岛-1和-2上,有两个通用的毒力操纵子负责效应器传递系统和细菌细胞粘附。系统地理推断分析显示,中国大陆与香港的相对迁移率最高(相对迁移率均值±标准误差= 2.93±0.07,贝叶斯因子[BF] = 1285.5),加拿大(0.61±0.03,BF = 6.9)和澳大利亚(1.02±0.04,BF = 4.2)。我们的分析表明,肠炎沙门氏菌的假想传播及其相关的跨境抗菌素耐药性。重要性:非伤寒沙门氏菌的抗微生物药物耐药性和疾病严重程度已构成世界范围内严重的公共卫生挑战。耐药肠炎沙门氏菌是一种主要病原体,主要通过食用受污染的食品引起人类感染。以往的研究主要集中在肠炎沙门氏菌耐药性和毒力因子的全基因组分析;然而,关于这种细菌如何在不同地点定位、扩展和多样化的细节仍然未知。我们的研究首次通过调查系统地理传播来估计跨界传播的频率和位置,从而解决了这一差距。通过循证推断传播,我们旨在揭示肠炎沙门氏菌动态传播的新见解,揭示其出现和迁移的途径。这项研究对于加强我们对保护人类健康的控制策略的理解至关重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Bayesian phylogeographic analysis infers cross-border transmission dynamics of drug-resistant Salmonella Enteritidis.

Salmonella Enteritidis (S. Enteritidis) stands as a leading cause of human salmonellosis worldwide with a tendency to spread through contaminated foodstuffs and animals. In Hong Kong, a significant proportion of food products are imported, and many cases are often caused by the consumption of contaminated food, hence making the geographical surveillance of drug-resistant S. Enteritidis important for strong public health and food safety measures. We analyzed the whole genomes of 207 S. Enteritidis from Hong Kong, Australia, Canada, mainland China, the United States of America, South Africa, Taiwan, and the United Kingdom to examine associated antimicrobial resistance and the transmission dynamics between continents. Phylogenetic cluster inferences and Bayesian phylogeographical analysis were performed. Overall, sequence type ST11 strains were dominant (92.8%, 192/207). Five phylogenomic clusters A to E were identified, where most isolates from mainland China and Hong Kong were in Cluster E. Among the 22 plasmid types identified, IncX1 was dominant in the Asian isolates. Most of the virulence genes were distributed in Salmonella pathogenicity islands -1 and -2, with two universal virulence operons responsible for the effector delivery system and bacterial cell adhesion. The phylogeographic inference analysis showed a statistically significant link between mainland China and Hong Kong with the highest relative migration rate (relativeGeoRates mean ± standard error = 2.93 ± .07, Bayes Factor [BF] = 1285.5], with some traceable to Canada (0.61 ± 0.03, BF = 6.9) and Australia (1.02 ± 0.04, BF = 4.2). Our analysis suggests hypothetical transmission of S. Enteritidis and its associated antimicrobial resistance across borders.

Importance: Antimicrobial resistance and disease severity in nontyphoidal Salmonella have constituted a serious public health challenge worldwide. Drug-resistant Salmonella Enteritidis is a leading pathogen that causes human infections primarily through the consumption of contaminated food products. Previous research focuses on the whole-genome analysis of antimicrobial resistance and virulence factors in S. Enteritidis; however, details on how this bacterium localized, expanded, and diversified from location to location remain unknown. Our study for the first time addresses this gap by investigating the phylogeographic transmission to estimate the frequency and location of cross-border spread. By evidence-based inferred transmission, we aim to uncover novel insights into the dynamic spread of S. Enteritidis, revealing the route of emergence and migration. This research is crucial for enhancing our understanding of the control strategies to safeguard human health.

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来源期刊
Microbiology spectrum
Microbiology spectrum Biochemistry, Genetics and Molecular Biology-Genetics
CiteScore
3.20
自引率
5.40%
发文量
1800
期刊介绍: Microbiology Spectrum publishes commissioned review articles on topics in microbiology representing ten content areas: Archaea; Food Microbiology; Bacterial Genetics, Cell Biology, and Physiology; Clinical Microbiology; Environmental Microbiology and Ecology; Eukaryotic Microbes; Genomics, Computational, and Synthetic Microbiology; Immunology; Pathogenesis; and Virology. Reviews are interrelated, with each review linking to other related content. A large board of Microbiology Spectrum editors aids in the development of topics for potential reviews and in the identification of an editor, or editors, who shepherd each collection.
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