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Staring into the void: demystifying microbial metabolomics

机译:盯着空隙:恶化的微生物代谢组学

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Metabolites give us a window into the chemistry of microbes and are split into two subclasses: primary and secondary. Primary metabolites are required for life whereas secondary metabolites have historically been classified as those appearing after exponential growth and are not necessarily needed for survival. Many microbial species are estimated to produce hundreds of metabolites and can be affected by differing nutrients. Using various analytical techniques, metabolites can be directly detected in order to elucidate their biological significance. Currently, a single experiment can produce anywhere from megabytes to terabytes of data. This big data has motivated scientists to develop informatics tools to help target specific metabolites or sets of metabolites. Broadly, it is imperative to identify clear biological questions before embarking on a study of metabolites (metabolomics). For instance, studying the effect of a transposon insertion on phenazine biosynthesis in Pseudomonas is a very different from asking what molecules are present in a specific banana-derived strain of Pseudomonas. This review is meant to serve as a primer for a 'choose your own adventure' approach for microbiologists with limited mass spectrometry expertise, with a strong focus on liquid chromatography mass spectrometry based workflows developed or optimized within the past five years.
机译:代谢物给我们一个窗户进入微生物化学,并分成两个亚类:初级和次级。生命需要初级代谢物,而次要代谢产物历史上被归类为在指数增长后出现的那些,并且不一定需要存活。估计许多微生物物种以产生数百种代谢物,并且可以受不同的营养素的影响。使用各种分析技术,可以直接检测代谢物以阐明其生物学意义。目前,单一的实验可以从兆字节的任何地方生产到数据的TBRABYTES。这种大数据具有激励科学家开发信息学工具,以帮助靶向特定的代谢物或代谢物。广泛地,在开始研究代谢物(代谢组学)之前,必须识别明确的生物学问题。例如,研究转座子插入对假单胞菌中的吩嗪生物合成的效果是非常不同的,与询问有什么分子存在于特定的香蕉衍生的假单胞菌菌株中。本综述是为了作为“选择自己的冒险”方法的底漆,用于微生物学家,具有有限的质谱专业知识,强调在过去五年内产生或优化的基于液相色谱质谱的工作流程。

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