科威特布鲁氏菌病患者分离的梅利特氏布鲁氏菌基因组研究

Abu Salim Mustafa, Mohd Wasif Khan, Nazima Habibi
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引用次数: 0

摘要

背景:人类布鲁氏菌病存在于所有有人居住的大陆,在世界许多地区,包括科威特和中东,流行率很高。为了实施适当的控制措施,需要通过可靠和快速的分型方法对布鲁氏菌的种类和基因型进行鉴定和表征。在以往的研究中,全基因组测序(WGS)已显示出其作为流行病学分型工具的潜力。利用WGS数据,本研究旨在鉴定科威特和其他国家患者分离的梅利氏布鲁氏菌菌株的种类、噬菌体序列、推定的抗生素耐药基因、毒力因子和基因型。方法:采用基于全基因组的方法对5株科威特产的melitensis分离株和来自28个国家的31株melitensis分离株进行基因型鉴定和分型分析。采用芯片技术,利用多位点序列分型(MLST)和全基因组单核苷酸多态性(wgSNP)鉴定噬菌体序列、抗生素耐药基因、毒力因子和基因型。结果:WGS数据分析表明,5株科威特分离株均属于非疫苗菌株。此外,这些数据表明科威特分离株中存在两个噬菌体序列、两个抗生素耐药基因和51个毒力因子。最后,通过MLST和wgSNP分析确定了所有分离株的基因型,wgSNP分析提示了科威特分离株可能的原产地区/国家。结论:WGS数据可用于布鲁氏菌分离株的特征鉴定,分子技术可用于快速鉴定和分类布鲁氏菌的种类和基因型,并追踪分离株的可能来源。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Genome Investigation of Brucella melitensis Strains Isolated From Brucellosis Patients in Kuwait
Background: Human brucellosis is present on all inhabited continents with high prevalence in many areas of the world, including Kuwait and the Middle East. To implement proper control measures, the identification and characterization of Brucella species and genotypes are required through a reliable and rapid subtyping method. In previous studies, whole-genome sequencing (WGS) has shown its potential as an epidemiological typing tool. Using WGS data, this study aimed to identify the species, phage sequences, putative antibiotic resistance genes, virulence factors, and genotypes of Brucella melitensis strains isolated from patients in Kuwait and other countries. Methods: Five B. melitensis isolates of Kuwaiti origin and 31 other isolates of B. melitensis originating from 28 countries were analyzed using whole genome-based approaches for genotypic identification and typing. In-silico techniques were used to identify the sequences for phages, antibiotic resistance genes, virulence factors, and genotypes using multilocus sequence typing (MLST) and whole-genome single-nucleotide polymorphism (wgSNP). Results: The analysis of WGS data demonstrated that all five Kuwaiti isolates belonged to the non-vaccine strains of B. melitensis. Furthermore, the data represented the presence of two phage sequences, two antibiotic resistance genes, and 51 virulence factors in Kuwaiti isolates. Eventually, the genotypes of all isolates were identified based on MLST and wgSNP analysis, and wgSNP analysis suggested the possible areas/countries of origin of Kuwaiti isolates. Conclusion: WGS data can be used to characterize Brucella isolates, and molecular techniques can be applied in-silico to rapidly identify and classify Brucella into species and genotypes and trace the possible origin of the isolates.
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