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108 例骨科感染患者的 自动化核糖体分型、分型和 MLST 比较。

Comparison of Automated Ribotyping, Typing, and MLST in 108 Clinical Isolates of from Orthopedic Infections.

机构信息

Laboratorio di Patologia delle Infezioni Associate all'Impianto, IRCCS Istituto Ortopedico Rizzoli, via di Barbiano 1/10, 40136 Bologna, Italy.

Division of Human Medicine, Austrian Agency for Health and Food Safety, 1010 Vienna, Austria.

出版信息

Int J Mol Sci. 2022 Jan 31;23(3):1660. doi: 10.3390/ijms23031660.

DOI:10.3390/ijms23031660
PMID:35163582
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8835750/
Abstract

108 isolates of , belonging to six large ribogroups according to the automated Ribo-Printer system, were studied with two highly used molecular methods for epidemiological studies, namely multi-locus sequence typing (MLST) and typing, followed by BURP and eBURST v3 analysis for clustering types and sequence (ST) types. The aim was to evaluate whether automated ribotyping could be considered a useful screening tool for identifying genetic lineages with respect to typing and MLST. Clarifying the relationship of riboprinting with these typing methods and establishing whether ribogroups fit single clonal complexes were two main objectives. Further information on the genetic profile of the isolates was obtained from typing and the search for the , genes, and the IS insertion sequence. Automated ribotyping has been shown to predict clonal complexes and MLST clonal complexes. The high cost and lower discriminatory power of automated ribotyping compared to and MSLT typing could be an obstacle to fine genotyping analyzes, especially when high discriminatory power is required. On the other hand, numerous advantages such as automation, ease and speed of execution, stability, typeability and reproducibility make ribotyping a reliable method to be juxtaposed to gold standard methods.

摘要

108 株 ,根据自动化 Ribo-Printer 系统属于六个大核糖体组,使用两种常用于流行病学研究的分子方法进行了研究,即多位点序列分型 (MLST) 和 分型,然后进行 BURP 和 eBURST v3 分析,以对 型和序列 (ST) 型进行聚类。目的是评估自动化核糖体分型是否可以被认为是一种有用的筛选工具,用于识别与 分型和 MLST 相关的 遗传谱系。阐明核糖体分型与这些分型方法的关系,并确定核糖体组是否适合单个克隆复合体,是两个主要目标。通过 分型和 基因、IS 插入序列的搜索,获得了关于分离株遗传特征的更多信息。自动化核糖体分型已被证明可以预测 克隆复合体和 MLST 克隆复合体。与 分型和 MLST 相比,自动化核糖体分型的高成本和较低的区分能力可能是精细基因分型分析的障碍,尤其是在需要高区分能力时。另一方面,自动化、执行的简便性和速度、稳定性、可分型性和可重复性等诸多优势,使核糖体分型成为一种可靠的方法,可以与金标准方法并列。

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