作者: Xu Zhang , Zhibin Ning , Janice Mayne , Jasmine I. Moore , Jennifer Li
DOI: 10.1186/S40168-016-0176-Z
关键词:
摘要: The gut microbiota has been shown to be closely associated with human health and disease. While next-generation sequencing can readily used profile the taxonomy metabolic potential, metaproteomics is better suited for deciphering microbial biological activities. However, application of largely limited due low efficiency protein identification. Thus, a high-performance easy-to-implement metaproteomic approach required. In this study, we developed universal workflow metaproteome identification quantification (named MetaPro-IQ) by using close-to-complete or mouse gene catalog as database an iterative search strategy. An average 38 33 % acquired tandem mass spectrometry (MS) spectra was confidently identified studied stool mucosal-luminal interface samples, respectively. total, accurately quantified 30,749 groups 19,011 metaproteome. Moreover, MetaPro-IQ enabled comparable identifications matched metagenome strategy that widely but needs prior metagenomic sequencing. response high-fat diet in mice then assessed, which showed distinct patterns high-fat-fed 849 proteins significant responders feeding comparison low-fat feeding. We present MetaPro-IQ, highly efficient intestinal quantification, functions studies, will thus facilitate understanding