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Detection of microbial biomass in subseafloor sediment by pyrolysis-GC/MS

机译:热解-GC / MS法检测海底沉积物中的微生物量

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摘要

The conventional approaches for qualitative and quantitative assessment of microbial biomass in sediments, e.g., via quantitative polymerase chain reaction or intact polar lipids analysis, are rather tedious and time-consuming. Here we present a new, optimized and simple pyrolysis-gas chromatography/mass spectrometry protocol for rapid screening of sediment samples for the presence of microbial signals and quantification of bulk population. Analysis of microbial cultures of different bacterial and archaeal lineages as well as reference substances and model compounds provided molecular fingerprints for tracking microbial biomass. The diagnostic fingerprints consist of benzyl nitrile (derived from DNA and protein), 2-furanmethanol (from DNA and peptidoglycan), indole (from peptidoglycan and protein), phenol (from DNA, peptidoglycan and protein) and pyrrole (from peptidoglycan). Detection of microbial signals through the molecular fingerprints requires a cell density of at least 10(6) cells/g, whereas at least 10(7) cells/g is necessary for quantification. The pyrolysis method was applied to marine sediments from different depths (until similar to 400 m below the seafloor at the Canterbury Basin) and with different organic carbon contents (0.11-6.99%). (C) 2016 Elsevier B.V. All rights reserved.
机译:定性和定量评估沉积物中微生物生物量的常规方法,例如,通过定量聚合酶链反应或完整的极性脂质分析,相当繁琐且耗时。在这里,我们提出了一种新的,优化的和简单的热解-气相色谱/质谱协议,用于快速筛查沉积物样品中是否存在微生物信号并定量分析总体种群。对不同细菌和古细菌谱系的微生物培养物以及参考物质和模型化合物的分析提供了用于追踪微生物生物量的分子指纹。诊断指纹包括苄腈(来自DNA和蛋白质),2-呋喃甲醇(来自DNA和肽聚糖),吲哚(来自肽聚糖和蛋白质),苯酚(来自DNA,肽聚糖和蛋白质)和吡咯(来自肽聚糖)。通过分子指纹检测微生物信号需要至少10(6)个细胞/ g的细胞密度,而定量至少需要10(7)个细胞/ g。热解法适用于不同深度(直到坎特伯雷盆地海床以下400 m处)和不同有机碳含量(0.11-6.99%)的海洋沉积物。 (C)2016 Elsevier B.V.保留所有权利。

著录项

  • 来源
    《Journal of Analytical & Applied Pyrolysis》 |2016年第3期|175-180|共6页
  • 作者单位

    Univ Bremen, Organ Geochem Grp, MARUM Ctr Marine Environm Sci, Leobener Str, D-28359 Bremen, Germany|Univ Bremen, Dept Geosci, Leobener Str, D-28359 Bremen, Germany;

    Univ Bremen, Dept Geosci, Leobener Str, D-28359 Bremen, Germany|Univ Bremen, Heisenberg Grp Marine Kerogen, MARUM Ctr Marine Environm Sci, Leobener Str, D-28359 Bremen, Germany;

    Univ Bremen, Organ Geochem Grp, MARUM Ctr Marine Environm Sci, Leobener Str, D-28359 Bremen, Germany|Univ Bremen, Dept Geosci, Leobener Str, D-28359 Bremen, Germany;

  • 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);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Py-GC/MS; Diagnostic fingerprints; Microbial signals; Marine sediments;

    机译:Py-GC / MS;诊断指纹图谱;微生物信号;海洋沉积物;
  • 入库时间 2022-08-18 03:01:49

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