Description
Vancomycin resistant Enterococcus faecium (VREfm) is an emerging antibiotic resistant pathogen. Strain-level investigations are beginning to reveal the molecular mechanisms used by VREfm to colonize regions of the human bowel. However, the role of commensal bacteria during VREfm colonization, in particular following antibiotic treatment, remains largely unknown. We employed amplicon 16S rRNA gene sequencing and metabolomics in a murine model system to try and investigate functional roles of the gut microbiome during VREfm colonization. First-order taxonomic shifts between Bacteroidetes and Tenerricutes within the gut microbial community composition were detected both in response to pretreatment using ceftriaxone, and to subsequent VREfm challenge. Using neural networking approaches to find co-occurrence profiles of bacteria and metabolites, we detected key metabolome features associated with butyric acid during and after VREfm colonization. These metabolite features were associated with Bacteroides, indicative of a transition towards a pre-antibiotic naive microbiome. This study shows the impacts of antibiotics on the gut ecosystem, and the progression of the microbiome in response to colonisation with VREfm. Our results offer insights towards identifying potential non-antibiotic alternatives to eliminate VREfm through metabolic re-engineering to preferentially select for Bacteroides.
[doi:10.25345/C5TT9N]
[dataset license: CC0 1.0 Universal (CC0 1.0)]
Keywords: microbiome, vancomycin resistant Enterococcus faecium, ceftriaxone, colonisation
Contact
Principal Investigators:
(in alphabetical order)
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Andre Mu, University of Melbourne, Australia
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andrem1
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GNPS content goes here (MSV000085847 [task=543a1a370f99424eb446e3d7eeb40f09])
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Distinct condition labels are counted across all files submitted in the "Metadata" category
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Originally identified proteins that were automatically
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SwissProt
human reference database.
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Number of distinct protein accessions reported across all analyses (original submission and
reanalyses) associated with this dataset.
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Number of distinct peptide sequences (including modified variants or peptidoforms) reported
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Total number of peptide-spectrum matches (i.e. spectrum identifications) reported across all
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Distinct protein accessions are counted across all files submitted in the "Statistical Analysis
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Number of distinct proteins found to be differentially abundant in at least one comparison
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A protein is differentially abundant if its change in abundance across conditions is found
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Distinct protein accessions are counted across all files submitted in the "Statistical Analysis
of Quantified Analytes" category having a "Protein" column in this dataset.
"N/A" means no results of this type were submitted.
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