代谢组
代谢组学
代谢物
生物
肠道菌群
代谢物分析
细菌
人类粪便
粪便
微生物学
厌氧菌
人体微生物群
微生物种群生物学
计算生物学
微生物群
生物化学
遗传学
生物信息学
作者
Sandi Yen,Julie A. K. McDonald,Kathleen Schroeter,Kaitlyn Oliphant,Stanislav Sokolenko,Eric J. M. Blondeel,Emma Allen‐Vercoe,Marc G. Aucoin
摘要
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.
科研通智能强力驱动
Strongly Powered by AbleSci AI