首页> 外文期刊>Journal of Microbiological Methods >Comparison of Biolog GEN III MicroStation semi-automated bacterial identification system with matrix-assisted laser desorption ionization-time of flight mass spectrometry and 16S ribosomal RNA gene sequencing for the identification of bacteria of veterinary interest
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Comparison of Biolog GEN III MicroStation semi-automated bacterial identification system with matrix-assisted laser desorption ionization-time of flight mass spectrometry and 16S ribosomal RNA gene sequencing for the identification of bacteria of veterinary interest

机译:Biolog GEN III MicroStation半自动细菌鉴定系统与基质辅助激光解吸电离飞行时间质谱法和16S核糖体RNA基因测序的比较,可鉴定感兴趣的细菌

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摘要

Recent advances in phenotypic and chemotaxonomic methods have improved the ability of systems to resolve bacterial identities at the species level. Key to the effective use of these systems is the ability to draw upon databases which can be augmented with new data gleaned from atypical or novel isolates. In this study we compared the performance of the Biolog GEN III identification system (hereafter, GEN III) with matrix-assisted laser desorption ionization-time of flight mass spectrometry (MALDI-TOF MS) and 16S rRNA gene sequencing in the identification of isolates of veterinary interest. The use of strains that had proven more difficult to identify by routine methods was designed to test the systems' abilities at the extremes of their performance range. Over an 18 month period, 100 strains were analysed by all three methods. To highlight the importance of identification to species level, a weighted scoring system was devised to differentiate the capacity to identify at genus and species levels. The overall relative weighted scores were 0.869:0.781:0.769, achieved by 16S rRNA gene sequencing, GEN III and MALDI-TOF MS respectively, when compared to the 'gold standard'. Performance to the genus level was significantly better using 16S rRNA gene sequencing; however, performance to the species level was similar for all three systems. (C) 2014 The Authors. Published by Elsevier B.V.
机译:表型和化学分类方法的最新进展提高了系统在物种水平上解析细菌身份的能力。有效使用这些系统的关键在于能够利用数据库的能力,这些数据库可以通过从非典型或新颖隔离物中收集的新数据来增强。在这项研究中,我们比较了Biolog GEN III鉴定系统(以下简称GEN III)与基质辅助激光解吸电离飞行时间质谱(MALDI-TOF MS)和16S rRNA基因测序在鉴定分离株中的性能。兽医的兴趣。事实证明,使用常规方法难以鉴定的菌株可在系统性能极限范围内测试系统的功能。在18个月的时间内,通过所有三种方法分析了100株菌株。为了强调鉴定对物种水平的重要性,设计了加权评分系统来区分在属和物种水平上鉴定的能力。与“黄金标准”相比,通过16S rRNA基因测序,GEN III和MALDI-TOF MS分别获得的总体相对加权得分为0.869:0.781:0.769。使用16S rRNA基因测序,该属水平的性能明显更好;但是,这三个系统在物种级别上的性能都相似。 (C)2014作者。由Elsevier B.V.发布

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