Metagenome-assembled genome: SRR2155332_bin.103_CONCOCT_v1.1_MAG
uncultured Clostridia bacterium
This sample represents a Third Party Annotation (TPA) Metagenome-Assembled Genome (MAG) assembled from the metagenomic run SRR2155332 of study SRP062282.
ENA-FIRST-PUBLIC
2023-01-03
ENA-LAST-UPDATE
2023-01-03
External Id
SAMEA14085604
INSDC center alias
EBI
INSDC center name
European Bioinformatics Institute
INSDC first public
2023-01-03T00:33:37Z
INSDC last update
2023-01-03T00:33:37Z
INSDC status
public
Submitter Id
SRR2155332_bin.103_CONCOCT_v1.1_MAG
assembly quality
Many fragments with little to no review of assembly other than reporting of standard assembly statistics
assembly software
metaspadesv3.10.0
binning parameters
Default
binning software
CONCOCT v1.1
broker name
EMG broker account, EMBL-EBI
collection date
2011-05-01
completeness score
65.8
completeness software
CheckM
contamination score
2.03
environment (biome)
Host-associated
environment (feature)
Human
environment (material)
Digestive system
geographic location (country and/or sea)
Germany
geographic location (latitude)
not provided
geographic location (longitude)
not provided
investigation type
metagenome-assembled genome
isolation_source
human gut metagenome
metagenomic source
human gut metagenome
project name
To gain more insight into the interconnection between microbiota, obesity and diet, we analyzed the metagenome of 16 patients following a weight-loss program based on a very low calorie inulin-enriched formula diet. In this longitudinal study we used shotgun sequencing of stool DNA to look at taxonomic and functional changes at different phases of the program. In 2 years we sequenced fecal samples at six time points, the baseline (before intervention, = T0), after diet intervention, (3 months later: T3), after reintroduction phase (T6), and three time points at the maintenance phase i.e. month 12 (T12), month 18 (T18) and month 24 (T24). In parallel, clinical parameters were monitored in order to establish potential relationships between microbiota and obesity-associated-disease particularly hypertension, insulin resistance, fatty liver and the metabolic syndrome. Moreover we analyzed the marker potential of microbial parameters for weight loss maintenance success.
sample derived from
SAMN03922488
sample name
SRR2155332_bin.103_CONCOCT_v1.1_MAG
scientific_name
uncultured Clostridia bacterium
sequencing method
Illumina HiSeq 2500
taxonomic identity marker
multi-marker approach