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比较 cgMLST 和 SNP 分析方法评估耐甲氧西林金黄色葡萄球菌(MRSA)的宿主内进化。

Evaluation of within-host evolution of methicillin-resistant Staphylococcus aureus (MRSA) by comparing cgMLST and SNP analysis approaches.

机构信息

Department of Laboratory Medicine, Clinical Microbiology, Faculty of Medicine and Health, Örebro University, Örebro, Sweden.

1928 Diagnostics, Gothenburg, Sweden.

出版信息

Sci Rep. 2022 Jun 22;12(1):10541. doi: 10.1038/s41598-022-14640-w.

Abstract

Whole genome sequencing (WGS) of methicillin-resistant Staphylococcus aureus (MRSA) provides high-resolution typing, facilitating surveillance and outbreak investigations. The aim of this study was to evaluate the genomic variation rate in MRSA, by comparing commonly used core genome multilocus sequencing (cgMLST) against single nucleotide polymorphism (SNP) analyses. WGS was performed on 95 MRSA isolates, collected from 20 carriers during years 2003-2019. To assess variation and methodological-related differences, two different cgMLST schemes were obtained using Ridom SeqSphere+ and the cloud-based 1928 platform. In addition, two SNP methods, 1928 platform and Northern Arizona SNP Pipeline (NASP) were used. The cgMLST using Ridom SeqSphere+ and 1928 showed a median of 5.0 and 2.0 allele variants/year, respectively. In the SNP analysis, performed with two reference genomes COL and Newman, 1928 showed a median of 13 and 24 SNPs (including presumed recombination) and 3.8 respectively 4.0 SNPs (without recombination) per individual/year. Accordantly, NASP showed a median of 5.5 and 5.8 SNPs per individual/year. In conclusion, an estimated genomic variation rate of 2.0-5.8 genetic events per year (without recombination), is suggested as a general guideline to be used at clinical laboratories for surveillance and outbreak investigations independently of analysis approach used.

摘要

对耐甲氧西林金黄色葡萄球菌 (MRSA) 进行全基因组测序 (WGS) 可提供高分辨率的分型,有助于监测和暴发调查。本研究旨在通过比较常用的核心基因组多位点序列分析 (cgMLST) 与单核苷酸多态性 (SNP) 分析,评估 MRSA 的基因组变异率。对 2003 年至 2019 年期间收集的 95 名携带者的 95 株 MRSA 分离株进行了 WGS。为了评估变异和方法学差异,使用 Ridom SeqSphere+ 和基于云的 1928 平台获得了两种不同的 cgMLST 方案。此外,还使用了两种 SNP 方法,即 1928 平台和北亚利桑那 SNP 管道 (NASP)。使用 Ridom SeqSphere+ 的 cgMLST 和 1928 分别显示每年 5.0 和 2.0 个等位基因变异。在使用两个参考基因组 COL 和 Newman 进行的 SNP 分析中,1928 每年显示 13 和 24 个 SNP(包括假定重组)和 3.8 分别为 4.0 个 SNP(无重组)。相应地,NASP 每年显示 5.5 和 5.8 个 SNP。总之,建议每年发生 2.0-5.8 个遗传事件(无重组)的估计基因组变异率作为临床实验室进行监测和暴发调查的一般指南,而与使用的分析方法无关。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3303/9218119/63b2e1817052/41598_2022_14640_Fig1_HTML.jpg

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