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Bacterial flora analysis of coliforms in sewage, river water, and ground water using MALDI-TOF mass spectrometry

机译:使用MALDI-TOF质谱法分析污水,河水和地下水中大肠菌的细菌菌群

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摘要

The aim of this study was to rapidly and effectively analyze coliforms, which are the most fundamental indicators of water quality for fecal pollution, using matrix-assisted laser desorption ionization time-of-flight mass spectrometry (MALDI-TOF MS). Coliform bacteria were isolated from municipal sewage, river water, and groundwater. For each sample, 100 isolates were determined by MALDI-TOF MS. In addition, these same 100 isolates were also identified via 16S rRNA gene sequence analysis. Obtained MALDI-TOF MS data were compared with the 16S rRNA sequencing analysis, and the validity of MALDI-TOF MS for classification of coliform bacteria was examined. The concordance rate of bacterial identification for the 100 isolates obtained by MALDI-TOF MS analysis and 16S rRNA gene sequence analysis for sewage, river water, and ground water were 96%, 74%, and 62% at the genus level, respectively. Among the sewage, river water, and ground water samples, the coliform bacterial flora were distinct. The dominant genus of coliforms in sewage, river water, and groundwater were Klebsiella spp., Enterobacter spp., and Serratia spp., respectively. We determined that MALDI-TOF MS is a rapid and accurate tool that can be used to identify coliforms. Therefore, without using conventional 16S rRNA sequencing, it is possible to rapidly and effectively classify coliforms in water using MALDI-TOF MS.
机译:这项研究的目的是使用基质辅助激光解吸电离飞行时间质谱(MALDI-TOF MS)快速有效地分析大肠菌,这是粪便污染水质的最基本指标。大肠菌群是从市政污水,河水和地下水中分离出来的。对于每个样品,通过MALDI-TOF MS确定了100个分离株。此外,还通过16S rRNA基因序列分析鉴定了这100个分离株。将获得的MALDI-TOF MS数据与16S rRNA测序分析进行比较,并检查MALDI-TOF MS对大肠菌群分类的有效性。通过MALDI-TOF MS分析和污水,河水和地下水的16S rRNA基因序列分析获得的100株分离株的细菌鉴定的一致率分别为属水平的96%,74%和62%。在污水,河水和地下水样品中,大肠菌群很明显。污水,河水和地下水中大肠菌的主要种类分别为克雷伯菌,肠杆菌和沙雷氏菌。我们确定MALDI-TOF MS是一种快速,准确的工具,可用于鉴定大肠菌。因此,无需使用常规的16S rRNA测序,就可以使用MALDI-TOF MS快速有效地对水中的大肠菌进行分类。

著录项

  • 来源
    《Journal of Environmental Science and Health》 |2018年第2期|160-173|共14页
  • 作者单位

    Univ Miyazaki, Dept Civil & Environm Engn, Fac Engn, Gakuen Kibanadai Nishi 1-1, Miyazaki 8892192, Japan;

    Univ Miyazaki, Dept Civil & Environm Engn, Fac Engn, Gakuen Kibanadai Nishi 1-1, Miyazaki 8892192, Japan;

    Univ Miyazaki, Dept Civil & Environm Engn, Fac Engn, Gakuen Kibanadai Nishi 1-1, Miyazaki 8892192, Japan;

    Univ Miyazaki, Dept Civil & Environm Engn, Fac Engn, Gakuen Kibanadai Nishi 1-1, Miyazaki 8892192, Japan;

    Univ Miyazaki, Dept Anim & Grassland Sci, Fac Agr, Miyazaki, Japan;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《生物学医学文摘》(MEDLINE);美国《化学文摘》(CA);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Concordance rate; fecal pollution; identification; indicator; 16S rRNA sequencing;

    机译:一致性率;粪便污染;鉴定;指标;16S rRNA测序;
  • 入库时间 2022-08-17 13:33:05

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