Metagenome-assembled genome: MGYG000041975
Bacteroidales bacterium
This sample represents a Third Party Annotation (TPA) Metagenome-assembled genome generated from the metagenomic sample ERS634922 of study ERP009131.
ENA first public
2026-06-12
INSDC center name
EMG
INSDC status
public
Submitter Id
MGYG000041975
assembly quality
Many fragments with little to no review of assembly other than reporting of standard assembly statistics
assembly software
missing: third party data
binning parameters
missing: third party data
binning software
missing: third party data
broad-scale environmental context
human-associated habitat
broker name
EBI-EMG
collection date
2013-01-15
completeness score
85.85
completeness software
CheckM2_v1.1.0
contamination score
0.81
environmental medium
stool
geographic location (country and/or sea)
Canada
geographic location (latitude)
46.80328260
geographic location (longitude)
-71.24279600
investigation type
metagenome-assembled genome
isolation_source
human gut metagenome
local environmental context
human gut
metagenomic source
human gut metagenome
project name
The human gut microbiota is affected by antibiotics, but the heterogeneous response between individuals remains unexplored. To specifically address this question and examine the effect of antibiotics on selection of resistance genes, we administered the second-generation cephalosporin cefprozil to healthy volunteers. Stool samples gathered before antibiotic exposure, at the end of the treatment and three months later were analyzed using shotgun metagenomic sequencing. We show that normal antibiotic treatment can alter the gut microbiome in a specific, reproducible and predictable fashion. Strikingly, we identified a subgroup of participants that were enriched in opportunistic pathogen Enterobacter cloacae after exposure to the antibiotic, an effect linked to lower initial microbiome diversity and to the Bacteroides enterotype. Resistance genes that were not detectable before the treatment were observed after a 7-day course of antibiotic. Knowledge of the initial composition of the microbiome could assist in the prevention of the adverse effects of antibiotics.
sample derived from
ERS634922
sample name
MGYG000041975
scientific_name
Bacteroidales bacterium
sequencing method
missing: third party data
taxonomic identity marker
multi-marker approach