首页> 美国卫生研究院文献>Journal of Visualized Experiments : JoVE >Use of MALDI-TOF Mass Spectrometry and a Custom Database to Characterize Bacteria Indigenous to a Unique Cave Environment (Kartchner Caverns AZ USA)
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Use of MALDI-TOF Mass Spectrometry and a Custom Database to Characterize Bacteria Indigenous to a Unique Cave Environment (Kartchner Caverns AZ USA)

机译:使用MALDI-TOF质谱和自定义数据库来表征独特洞穴环境中的土著细菌(美国亚利桑那州卡特纳洞穴)

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摘要

MALDI-TOF mass spectrometry has been shown to be a rapid and reliable tool for identification of bacteria at the genus and species, and in some cases, strain levels. Commercially available and open source software tools have been developed to facilitate identification; however, no universal/standardized data analysis pipeline has been described in the literature. Here, we provide a comprehensive and detailed demonstration of bacterial identification procedures using a MALDI-TOF mass spectrometer. Mass spectra were collected from 15 diverse bacteria isolated from Kartchner Caverns, AZ, USA, and identified by 16S rDNA sequencing. Databases were constructed in BioNumerics 7.1. Follow-up analyses of mass spectra were performed, including cluster analyses, peak matching, and statistical analyses. Identification was performed using blind-coded samples randomly selected from these 15 bacteria. Two identification methods are presented: similarity coefficient-based and biomarker-based methods. Results show that both identification methods can identify the bacteria to the species level.
机译:MALDI-TOF质谱已被证明是一种快速可靠的工具,可用于鉴定属,种以及某些情况下的菌株水平的细菌。已经开发出可商购的开源软件工具以方便识别;但是,文献中没有描述通用/标准化的数据分析管道。在这里,我们提供使用MALDI-TOF质谱仪进行细菌鉴定程序的全面而详细的演示。从美国亚利桑那州卡特纳洞穴分离的15种不同细菌收集质谱,并通过16S rDNA测序进行鉴定。在BioNumerics 7.1中构建数据库。进行了质谱的后续分析,包括聚类分析,峰匹配和统计分析。使用从这15种细菌中随机选择的盲编码样本进行鉴定。提出了两种识别方法:基于相似系数的方法和基于生物标记的方法。结果表明,两种鉴定方法都可以鉴定细菌到物种水平。

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