Metagenome-assembled genome: ERR209721_bin.0_CONCOCT_v1.1_MAG
Faecalibacterium prausnitzii
This sample represents a Third Party Annotation (TPA) Metagenome-Assembled Genome (MAG) assembled from the metagenomic run ERR209721 of study ERP002061.
ENA-FIRST-PUBLIC
2023-01-03
ENA-LAST-UPDATE
2023-01-03
External Id
SAMEA14083917
INSDC center alias
EBI
INSDC center name
European Bioinformatics Institute
INSDC first public
2023-01-03T00:33:12Z
INSDC last update
2023-01-03T00:33:12Z
INSDC status
public
Submitter Id
ERR209721_bin.0_CONCOCT_v1.1_MAG
assembly quality
Many fragments with little to no review of assembly other than reporting of standard assembly statistics
assembly software
metaspadesv3.11.1
binning parameters
Default
binning software
CONCOCT v1.1
broker name
EMG broker account, EMBL-EBI
collection date
2008-01-01
completeness score
92.04
completeness software
CheckM
contamination score
1.54
environment (biome)
Host-associated
environment (feature)
Human
environment (material)
Digestive system
geographic location (country and/or sea)
Spain
geographic location (latitude)
40.416634
geographic location (longitude)
-3.7037659
investigation type
metagenome-assembled genome
isolation_source
human gut metagenome
metagenomic source
human gut metagenome
project name
The microbial diversity of environments like the human gut extends far beyond what is covered by reference genomes. Here we present a method for exhaustive and unsupervised co-abundance gene binning across a series of highly complex metagenomic samples. As the method does not rely on previously sequenced reference genomes it allows for discovery of new species, viruses and clonal heterogeneity. We demonstrate the method on human gut microbiome data and identify 7,381 co-abundance gene groups (CAGs) ranging in size from 3 to 6,319 genes. The CAGs represent a wide variety of biological entities including microbial genomes, phages and clonal differences. We name the 741 largest of these metagenomic species (MGS), because they correspond to microbial species. In addition, we establish microbial host affiliations by dependency-associations for many small CAGs. Longitudinal sampling in the same individuals indicates that some of these dependency-associations are important for the persistence of their microbial host
sample derived from
SAMEA2042219
sample name
ERR209721_bin.0_CONCOCT_v1.1_MAG
scientific_name
Faecalibacterium prausnitzii
sequencing method
Illumina Genome Analyzer IIx
taxonomic identity marker
multi-marker approach