Peptide abundance correlations in metaproteomics enhance taxonomic and functional analysis of the human gut microbiome

Mass spectrometry (MS)-based proteomics is widely used for quantitative protein profiling and protein interaction studies. However, most current research focuses on single-species proteomics, while protein interactions within complex microbiomes, composed of hundreds of bacterial species, remain largely unexplored. In this study, we analyzed peptide abundance correlations within a metaproteomics dataset derived from in vitro cultured human gut microbiomes subjected to various drug treatments. Our analysis revealed that peptides from the same protein or taxon exhibited correlated abundance changes. By using t-SNE for visualization, we generated a peptide correlation map in which peptides from the same taxon formed distinct clusters. Furthermore, peptide abundance correlations enabled genome-level taxonomic assignments for a greater number of peptides. For instance, 1880 (48.9%) of the 3845 peptides initially assigned only to the family Bacteroidaceae could now be assigned to a specific genome. In species representative genome subsets, peptide correlation networks based on taxon-normalized peptide abundance (TNPA) linked functionally related peptides and provided insights into uncharacterized proteins. Altogether, our study demonstrates that analyzing peptide abundance correlations enhances both taxonomic and functional analyses in human gut metaproteomics research.

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Publication Details

Journal
npj Biofilms and Microbiomes
Published
2025-08-19
DOI
https://doi.org/10.1038/s41522-025-00801-y
Primary Topic
Gut microbiota and health
Type
article
Field-Weighted Citation Impact
0.00

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article

Peptide abundance correlations in metaproteomics enhance taxonomic and functional analysis of the human gut microbiome

Andrew C. Doxey, Qing Wu, Zhongzhi Sun, Leyuan Li et al.
npj Biofilms and Microbiomes
Gut microbiota and health
article

Peptide abundance correlations in metaproteomics enhance taxonomic and functional analysis of the human gut microbiome

Andrew C. Doxey, Qing Wu, Zhongzhi Sun, Leyuan Li, Zhibin Ning, Daniel Figeys
article en

Abstract

Mass spectrometry (MS)-based proteomics is widely used for quantitative protein profiling and protein interaction studies. However, most current research focuses on single-species proteomics, while protein interactions within complex microbiomes, composed of hundreds of bacterial species, remain largely unexplored. In this study, we analyzed peptide abundance correlations within a metaproteomics dataset derived from in vitro cultured human gut microbiomes subjected to various drug treatments. Our analysis revealed that peptides from the same protein or taxon exhibited correlated abundance changes. By using t-SNE for visualization, we generated a peptide correlation map in which peptides from the same taxon formed distinct clusters. Furthermore, peptide abundance correlations enabled genome-level taxonomic assignments for a greater number of peptides. For instance, 1880 (48.9%) of the 3845 peptides initially assigned only to the family Bacteroidaceae could now be assigned to a specific genome. In species representative genome subsets, peptide correlation networks based on taxon-normalized peptide abundance (TNPA) linked functionally related peptides and provided insights into uncharacterized proteins. Altogether, our study demonstrates that analyzing peptide abundance correlations enhances both taxonomic and functional analyses in human gut metaproteomics research.

npj Biofilms and MicrobiomesVol. 11(1)
University of East Anglia (GB), University of Waterloo (CA), University of Ottawa (CA), Norwich Research Park (GB), Quadram Institute (GB), Beijing Proteome Research Center (CN)
Natural Sciences and Engineering Research Council of Canada
Zero hunger
Openalex Percentile: Top 81%
Gut microbiota and health
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