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泛基因组分析揭示了抗生素耐药菌的独特谱系分布和流行病学关联。

Pangenomic analyses of antibiotic-resistant reveal unique lineage distributions and epidemiological associations.

机构信息

Department of Microbiology and Molecular Genetics, Michigan State University, East Lansing, MI, USA.

Michigan Department of Health and Human Services, Bureau of Laboratories, Lansing, Michigan, USA.

出版信息

Microb Genom. 2023 Aug;9(8). doi: 10.1099/mgen.0.001073.

DOI:10.1099/mgen.0.001073
PMID:37526649
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10483415/
Abstract

Application of whole-genome sequencing (WGS) to characterize foodborne pathogens has advanced our understanding of circulating genotypes and evolutionary relationships. Herein, we used WGS to investigate the genomic epidemiology of , a leading cause of foodborne disease. Among the 214 strains recovered from patients with gastroenteritis in Michigan, USA, 85 multilocus sequence types (STs) were represented and 135 (63.1 %) were phenotypically resistant to at least one antibiotic. Horizontally acquired antibiotic resistance genes were detected in 128 (59.8 %) strains and the genotypic resistance profiles were mostly consistent with the phenotypes. Core-gene phylogenetic reconstruction identified three sequence clusters that varied in frequency, while a neighbour-net tree detected significant recombination among the genotypes (pairwise homoplasy index <0.01). Epidemiological analyses revealed that travel was a significant contributor to pangenomic and ST diversity of , while some lineages were unique to rural counties and more commonly possessed clinically important resistance determinants. Variation was also observed in the frequency of lineages over the 4 year period with chicken and cattle specialists predominating. Altogether, these findings highlight the importance of geographically specific factors, recombination and horizontal gene transfer in shaping the population structure of . They also illustrate the usefulness of WGS data for predicting antibiotic susceptibilities and surveillance, which are important for guiding treatment and prevention strategies.

摘要

全基因组测序(WGS)在描述食源性病原体中的应用,加深了我们对循环基因型和进化关系的理解。在此,我们使用 WGS 来研究食源性疾病主要致病菌——的基因组流行病学。在美国密歇根州的肠胃炎患者中分离到的 214 株 中,有 85 个多位点序列型(ST),其中 135 株(63.1%)对至少一种抗生素表现出表型耐药。在 128 株(59.8%)中检测到水平获得的抗生素耐药基因,基因型耐药谱与表型大多一致。核心基因系统发育重建确定了三个序列簇,其频率不同,而邻接法树检测到基因型之间存在明显的重组(成对同系物指数 <0.01)。流行病学分析表明,旅行是导致 泛基因组和 ST 多样性的重要因素,而一些谱系是农村县特有的,且更常携带具有临床重要性的耐药决定因素。在 4 年的时间里,不同谱系的频率也存在变化,鸡和牛专业菌居多。总的来说,这些发现强调了地理位置特定因素、重组和水平基因转移在塑造 种群结构中的重要性。它们还说明了 WGS 数据在预测抗生素敏感性和监测方面的有用性,这对于指导治疗和预防策略非常重要。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ea5a/10483415/c39271db04c9/mgen-9-1073-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ea5a/10483415/6cbbead7b899/mgen-9-1073-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ea5a/10483415/fa47aca61bdb/mgen-9-1073-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ea5a/10483415/f4221f1072af/mgen-9-1073-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ea5a/10483415/d403fe15ed2d/mgen-9-1073-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ea5a/10483415/c39271db04c9/mgen-9-1073-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ea5a/10483415/6cbbead7b899/mgen-9-1073-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ea5a/10483415/fa47aca61bdb/mgen-9-1073-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ea5a/10483415/f4221f1072af/mgen-9-1073-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ea5a/10483415/d403fe15ed2d/mgen-9-1073-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ea5a/10483415/c39271db04c9/mgen-9-1073-g005.jpg

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