TY - JOUR
T1 - Studying the Temporal Dynamics of the Gut Microbiota Using Metabolic Stable Isotope Labeling and Metaproteomics
AU - Smyth, Patrick
AU - Zhang, Xu
AU - Ning, Zhibin
AU - Mayne, Janice
AU - Moore, Jasmine Isabelle
AU - Walker, Krystal
AU - Lavallée-Adam, Mathieu
AU - Figeys, Daniel
N1 - MetaProfiler and the bioinformatic pipeline are available at https://github.com/northomics/MetaProfiler.git.
The Supporting Information is available free of charge at
https://pubs.acs.org/doi/10.1021/acs.analchem.0c02070.
PY - 2020/12/15
Y1 - 2020/12/15
N2 - The gut microbiome and its metabolic processes are dynamic systems. Surprisingly, our understanding of gut microbiome dynamics is limited. Here, we report a metaproteomic workflow that involves protein stable isotope probing (protein-SIP) and identification/quantification of partially labeled peptides. We also developed a package, which we call MetaProfiler, that corrects for false identifications and performs phylogenetic and time series analysis for the study of microbiome dynamics. From the stool sample of five mice that were fed with 15N hydrolysate from Ralstonia eutropha, we identified 12 326 nonredundant unlabeled peptides, of which 8256 of their heavy counterparts were quantified. These peptides revealed incorporation profiles over time that were different between and within taxa, as well as between and within clusters of orthologous groups (COGs). Our study helps unravel the complex dynamics of protein synthesis and bacterial dynamics in the mouse microbiome.
AB - The gut microbiome and its metabolic processes are dynamic systems. Surprisingly, our understanding of gut microbiome dynamics is limited. Here, we report a metaproteomic workflow that involves protein stable isotope probing (protein-SIP) and identification/quantification of partially labeled peptides. We also developed a package, which we call MetaProfiler, that corrects for false identifications and performs phylogenetic and time series analysis for the study of microbiome dynamics. From the stool sample of five mice that were fed with 15N hydrolysate from Ralstonia eutropha, we identified 12 326 nonredundant unlabeled peptides, of which 8256 of their heavy counterparts were quantified. These peptides revealed incorporation profiles over time that were different between and within taxa, as well as between and within clusters of orthologous groups (COGs). Our study helps unravel the complex dynamics of protein synthesis and bacterial dynamics in the mouse microbiome.
UR - http://www.scopus.com/inward/record.url?scp=85097836871&partnerID=8YFLogxK
U2 - 10.1021/acs.analchem.0c02070
DO - 10.1021/acs.analchem.0c02070
M3 - Article
AN - SCOPUS:85097836871
SN - 0003-2700
VL - 92
SP - 15711
EP - 15718
JO - Analytical Chemistry
JF - Analytical Chemistry
IS - 24
ER -