Metagenome-assembled genome: MGYG000272744
Bacillota bacterium
This sample represents a Third Party Annotation (TPA) Metagenome-assembled genome generated from the metagenomic sample ERS328939 of study ERP003612.
ENA first public
2026-07-13
INSDC center name
EMG
INSDC status
public
Submitter Id
MGYG000272744
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
2008/2010
completeness score
82.54
completeness software
CheckM2_v1.1.0
contamination score
0.71
environmental medium
faeces
geographic location (country and/or sea)
Denmark
geographic location (latitude)
55.67609700
geographic location (longitude)
12.56833700
investigation type
metagenome-assembled genome
isolation_source
human gut metagenome
local environmental context
human gut
metagenomic source
human gut metagenome
project name
We are facing a global metabolic health crisis provoked by an obesity epidemic. Here we report the human gut microbial composition in a population sample of 123 non-obese and 169 obese Danish individuals. We find two groups of individuals that differ by the number of gut microbial genes and thus gut bacterial richness. They harbour known and previously unknown bacterial species at different proportions individuals with a low bacterial richness (23% of the population) are characterized by more marked overall adiposity, insulin resistance and dyslipidaemia and a more pronounced inflammatory phenotype when compared with high bacterial richness individuals. The obese individuals among the former also gain more weight over time. Only a few bacterial species are sufficient to distinguish between individuals with high and low bacterial richness, and even between lean and obese. Our classifications based on variation in the gut microbiome identify subsets of individuals in the general white adult population who may be at increased risk of progressing to adiposity-associated co-morbidities.
sample derived from
ERS328939
sample name
MGYG000272744
scientific_name
Bacillota bacterium
sequencing method
missing: third party data
taxonomic identity marker
multi-marker approach