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基质辅助激光解吸电离飞行时间质谱法解析牛乳腺炎细菌。

Bovine mastitis bacteria resolved by MALDI-TOF mass spectrometry.

机构信息

National Veterinary Institute, Technical University of Denmark, 2800 Kongens Lyngby, Denmark.

Institute for Molecular Medicine Finland, University of Helsinki, Finland, FI-00014.

出版信息

J Dairy Sci. 2019 Mar;102(3):2515-2524. doi: 10.3168/jds.2018-15424. Epub 2019 Jan 11.

Abstract

Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) is a fast and reliable method to identify the most common pathogenic bacteria in humans and animals. The goals of this study were to amend a commercial database with additional species, evaluate the amended database for identification of bacterial genera and species causing bovine mastitis, and describe the plethora of species involved. In total, 500 udder pathogenic isolates were subjected to MALDI-TOF MS using bacterial or fungal colony material; 93.5% could be identified to the species level, and 6.5% were identified only to the genus level. Isolates identified to the genus level required further identification to the species level by conventional methods or 16S rDNA sequencing. Mass spectra from verified species were used to expand the MALDI-TOF MS database to improve future identification ability. A total of 24 genera and 61 species were identified in this study. Identified isolates were mainly staphylococci, streptococci, Enterobacteriaceae, and coryneforme bacteria. In conclusion, MALDI-TOF MS is a powerful, rapid, and reliable technique to identify the most common microorganisms causing bovine mastitis, and the database can be continuously expanded and improved with additional species.

摘要

基质辅助激光解吸电离飞行时间质谱(MALDI-TOF MS)是一种快速可靠的方法,可用于鉴定人类和动物中最常见的致病性细菌。本研究的目的是用其他物种来修正商业数据库,评估修正后的数据库对引起牛乳腺炎的细菌属和种的鉴定能力,并描述涉及的大量物种。总共对 500 个乳房病原分离物进行了 MALDI-TOF MS 分析,使用细菌或真菌菌落材料;93.5%可以鉴定到种水平,6.5%仅鉴定到属水平。鉴定到属水平的分离物需要通过常规方法或 16S rDNA 测序进一步鉴定到种水平。从经过验证的物种获得的质谱图用于扩展 MALDI-TOF MS 数据库以提高未来的鉴定能力。本研究共鉴定出 24 个属和 61 个种。鉴定出的分离物主要是葡萄球菌、链球菌、肠杆菌科和棒状杆菌。总之,MALDI-TOF MS 是一种强大、快速、可靠的技术,可用于鉴定引起牛乳腺炎的最常见微生物,并且可以通过添加其他物种来不断扩展和改进数据库。

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