Metagenome-assembled genome: MGYG000040492
Bacillota bacterium
This sample represents a Third Party Annotation (TPA) Metagenome-assembled genome generated from the metagenomic sample ERS746821 of study ERP010700.
ENA first public
2026-06-12
INSDC center name
EMG
INSDC status
public
Submitter Id
MGYG000040492
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
2010/2012
completeness score
75.5
completeness software
CheckM2_v1.1.0
contamination score
1.19
environmental medium
feces
geographic location (country and/or sea)
United Kingdom
geographic location (latitude)
51.50000000
geographic location (longitude)
-0.12000000
investigation type
metagenome-assembled genome
isolation_source
human gut metagenome
local environmental context
human gut
metagenomic source
human gut metagenome
project name
The gut microbiota has been typically viewed as an environmental factor for human health. Twins are well suited for investigating the concordance of their gut microbiomes and decomposing genetic and environmental influences. However, existing twin studies utilizing metagenomic shotgun sequencing have included only a few samples. Here, we sequenced fecal samples from 250 adult twins in the TwinsUK registry and constructed a comprehensive gut microbial reference gene catalog. We demonstrate heritability of many microbial taxa and functional modules in the gut microbiome, including those associated with diseases. Moreover, we identified 8 million SNPs in the gut microbiome and observe a high similarity in microbiome SNPs between twins that slowly decreases after decades of living apart. The results shed new light on the genetic and environmental influences on the composition and function of the gut microbiome that could relate to risk of complex diseases.
sample derived from
ERS746821
sample name
MGYG000040492
scientific_name
Bacillota bacterium
sequencing method
missing: third party data
taxonomic identity marker
multi-marker approach