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以色列南部临床分离株的基因组流行病学

Genomic Epidemiology of Clinical Isolates from Southern Israel.

作者信息

Zilberman Bar, Motro Yair, Sagi Orli, Kornspan David, Ben-Shimol Shalom, Gdalevich Michael, Yagel Yael, Davidovitch Nadav, Khalfin Boris, Rabinowitz Peter, Nesher Lior, Grotto Itamar, Bardenstein Svetlana, Moran-Gilad Jacob

机构信息

Faculty of Health Sciences, Ben Gurion University of the Negev, Beer Sheva 84105, Israel.

Soroka University Medical Center, Beer Sheva 84101, Israel.

出版信息

Microorganisms. 2022 Jan 22;10(2):238. doi: 10.3390/microorganisms10020238.

DOI:10.3390/microorganisms10020238
PMID:35208693
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8878301/
Abstract

Brucellosis, a zoonosis mainly transmitted by consumption of unpasteurized dairy products, is endemic in Southern Israel, mainly among the Bedouin Arab population. However, the genomic epidemiology of in this region has not yet been elucidated. A cohort of brucellosis cases ( = 118) diagnosed between 2017-2019 was studied using whole-genome sequencing (WGS). Phylogenetic analyses utilized core genome MLST (cgMLST) for all local isolates and core genome SNPs for 347 human-associated genomes, including Israeli and publicly available sequences. Israeli isolates formed two main clusters, presenting a notable diversity, with no clear dominance of a specific strain. On a global scale, the Israeli genomes clustered according to their geographical location, in proximity to genomes originating from the Middle East, and formed the largest cluster in the tree, suggesting relatively high conservation. Our study unveils the genomic epidemiology of in Southern Israel, implicating that rather than a common source, the transmission pattern of brucellosis among Bedouin communities is complex, predominantly local, and household-based. Further, genomic surveillance of is expected to inform future public health and veterinary interventions and clinical care.

摘要

布鲁氏菌病是一种主要通过食用未经巴氏消毒的乳制品传播的人畜共患病,在以色列南部流行,主要发生在贝都因阿拉伯人群体中。然而,该地区布鲁氏菌病的基因组流行病学尚未阐明。对2017年至2019年间诊断出的一组布鲁氏菌病病例(n = 118)进行了全基因组测序(WGS)研究。系统发育分析对所有本地分离株使用核心基因组多位点序列分型(cgMLST),对347个与人类相关的布鲁氏菌基因组(包括以色列和公开可用的序列)使用核心基因组单核苷酸多态性。以色列分离株形成了两个主要簇,呈现出显著的多样性,没有特定菌株的明显优势。在全球范围内,以色列的基因组根据其地理位置聚类,靠近源自中东的基因组,并在树中形成了最大的簇,表明相对较高的保守性。我们的研究揭示了以色列南部布鲁氏菌病的基因组流行病学,这意味着布鲁氏菌病在贝都因社区的传播模式不是单一来源,而是复杂的,主要是局部的且以家庭为基础的。此外,布鲁氏菌病的基因组监测有望为未来的公共卫生和兽医干预以及临床护理提供信息。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6b99/8878301/e02493619b00/microorganisms-10-00238-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6b99/8878301/e262de5da61e/microorganisms-10-00238-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6b99/8878301/14920b9a6ede/microorganisms-10-00238-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6b99/8878301/69ba232b331e/microorganisms-10-00238-g003a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6b99/8878301/e02493619b00/microorganisms-10-00238-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6b99/8878301/e262de5da61e/microorganisms-10-00238-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6b99/8878301/14920b9a6ede/microorganisms-10-00238-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6b99/8878301/69ba232b331e/microorganisms-10-00238-g003a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6b99/8878301/e02493619b00/microorganisms-10-00238-g004.jpg

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Emerg Infect Dis. 2021 Jun;27(6):1728-1731. doi: 10.3201/eid2706.204902.
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Microb Genom. 2020 Nov;6(11). doi: 10.1099/mgen.0.000446. Epub 2020 Oct 8.
3
Multilevel genome typing: genomics-guided scalable resolution typing of microbial pathogens.
Epidemiol Infect. 2024 May 21;152:e88. doi: 10.1017/S0950268824000803.
4
Public and animal health risks associated with spillover of into dairy farms.与 溢出到奶牛场相关的公共和动物健康风险。
Microb Genom. 2023 Apr;9(4). doi: 10.1099/mgen.0.001014.
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Long-Read Sequencing and Hybrid Assembly for Genomic Analysis of Clinical Isolates.用于临床分离株基因组分析的长读长测序与混合组装
Microorganisms. 2022 Mar 14;10(3):619. doi: 10.3390/microorganisms10030619.
多水平基因组分型:基于基因组学的微生物病原体可扩展分辨率分型。
Euro Surveill. 2020 May;25(20). doi: 10.2807/1560-7917.ES.2020.25.20.1900519.
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Genome-scale approach to study the genetic relatedness among Brucella melitensis strains.基于基因组规模的方法研究马耳他布鲁氏菌菌株间的遗传关联性。
PLoS One. 2020 Mar 9;15(3):e0229863. doi: 10.1371/journal.pone.0229863. eCollection 2020.
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