Metagenome-assembled genome: MGYG000035425
Sutterella sp.
This sample represents a Third Party Annotation (TPA) Metagenome-assembled genome generated from the metagenomic sample ERS396517 of study ERP004605.
ENA first public
2026-06-12
INSDC center name
EMG
INSDC status
public
Submitter Id
MGYG000035425
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
81.69
completeness software
CheckM2_v1.1.0
contamination score
2.66
environmental medium
faeces
geographic location (country and/or sea)
Spain
geographic location (latitude)
40.41663279
geographic location (longitude)
-3.70376587
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 is key to human health and disease. Metagenome-wide association studies (MGWAS) that search for disease markers in the gut microbiota, species identification according to metagenomic linkage groups (MLGs) or metagenomic clusters (MGCs), and metatranscriptomics or metaproteomics studies, all depend on a reference gene catalog, which has only been available for individual cohorts or based on reference genome or protein sequences. Here we report a high-quality integrated reference gene catalog consisting 9,879,896 genes, using 6.4 TB sequencing data derived from 1267 published and unpublished human gut metagenomes from three continents. The catalog represents a comprehensive collection of common and rare species, genes and genetic variants, and suggests individuality in the human gut microbiota. Analyses of a group of Chinese and Danish samples using the catalog revealed country-specific signatures in nutrient and xenobiotic metabolism. Our data suggest that interventions on nutrition, pollution and epidemiology should be tailored to the gut microbiota of a given population or even personalized for an individual.
sample derived from
ERS396517
sample name
MGYG000035425
scientific_name
Sutterella sp.
sequencing method
missing: third party data
taxonomic identity marker
multi-marker approach