Yen Sandi, McDonald Julie A K, Schroeter Kathleen, Oliphant Kaitlyn, Sokolenko Stanislav, Blondeel Eric J M, Allen-Vercoe Emma, Aucoin Marc G
Waterloo Institute for Nanotechnology, Department of Chemical Engineering, University of Waterloo , Waterloo, Ontario, Canada , N2L 3G1.
J Proteome Res. 2015 Mar 6;14(3):1472-82. doi: 10.1021/pr5011247. Epub 2015 Feb 25.
The extensive impact of the human gut microbiota on its human host calls for a need to understand the types of communication that occur among the bacteria and their host. A metabolomics approach can provide a snapshot of the microbe-microbe interactions occurring as well as variations in the microbes from different hosts. In this study, metabolite profiles from an anaerobic continuous stirred-tank reactors (CSTR) system supporting the growth of several consortia of bacteria representative of the human gut were established and compared. Cell-free supernatant samples were analyzed by 1D (1)H nuclear magnetic resonance (NMR) spectroscopy, producing spectra representative of the metabolic activity of a particular community at a given time. Using targeted profiling, specific metabolites were identified and quantified on the basis of NMR analyses. Metabolite profiles discriminated each bacterial community examined, demonstrating that there are significant differences in the microbiota metabolome between each cultured community. We also found unique compounds that were identifying features of individual bacterial consortia. These findings are important because they demonstrate that metabolite profiles of gut microbial ecosystems can be constructed by targeted profiling of NMR spectra. Moreover, examination of these profiles sheds light on the type of microbes present in the gut and their metabolic interactions.
人类肠道微生物群对其宿主具有广泛影响,这就需要了解细菌与其宿主之间发生的通讯类型。代谢组学方法可以提供正在发生的微生物-微生物相互作用以及来自不同宿主的微生物变化的快照。在本研究中,建立并比较了来自厌氧连续搅拌釜式反应器(CSTR)系统的代谢物谱,该系统支持几种代表人类肠道细菌群落的生长。通过一维(1)H核磁共振(NMR)光谱分析无细胞上清液样品,产生代表特定群落在给定时间代谢活性的光谱。使用靶向分析,基于NMR分析鉴定并定量特定代谢物。代谢物谱区分了所检测的每个细菌群落,表明每个培养群落之间的微生物群代谢组存在显著差异。我们还发现了独特的化合物,它们是各个细菌群落的识别特征。这些发现很重要,因为它们表明可以通过NMR光谱的靶向分析构建肠道微生物生态系统的代谢物谱。此外,对这些谱的检查揭示了肠道中存在的微生物类型及其代谢相互作用。