Metagenome-assembled genome: ERR2726415_bin_19
uncultured Eubacteriales bacterium
This sample represents a Third Party Annotation (TPA) Metagenome-assembled genome assembled from the metagenomic run ERR2726415 of study ERP110064.
ENA first public
2025-12-29
INSDC center name
EMG
INSDC status
public
Submitter Id
ERR2726415_bin_19
assembly quality
Many fragments with little to no review of assembly other than reporting of standard assembly statistics
assembly software
metaspades_v3.15.5
binning parameters
default
binning software
MGnify-genomes-generation-pipeline_v2.0.0
broad-scale environmental context
human
broker name
EBI-EMG
collection date
2013/2016
completeness score
95.77
completeness software
CheckM2_v1.0.1
contamination score
0.05
environmental medium
intestine
geographic location (country and/or sea)
Germany
geographic location (latitude)
49.41666700
geographic location (longitude)
8.71666700
investigation type
metagenome-assembled genome
isolation_source
human gut metagenome
local environmental context
digestive system
metagenomic source
human gut metagenome
project name
Association studies have linked microbiome alterations with many human diseases. However, they have not always reported consistent results, thereby necessitating cross-study comparisons. Here, a meta-analysis of eight geographically and technically diverse fecal shotgun metagenomic studies of colorectal cancer (CRC, n = 768), which was controlled for several confounders, identified a core set of 29 species significantly enriched in CRC metagenomes (false discovery rate (FDR) < 1 × 10-5). CRC signatures derived from single studies maintained their accuracy in other studies. By training on multiple studies, we improved detection accuracy and disease specificity for CRC. Functional analysis of CRC metagenomes revealed enriched protein and mucin catabolism genes and depleted carbohydrate degradation genes. Moreover, we inferred elevated production of secondary bile acids from CRC metagenomes, suggesting a metabolic link between cancer-associated gut microbes and a fat- and meat-rich diet. Through extensive validations, this meta-analysis firmly establishes globally generalizable, predictive taxonomic and functional microbiome CRC signatures as a basis for future diagnostics.
sample derived from
SAMEA4817901
sample name
ERR2726415_bin_19
scientific_name
uncultured Eubacteriales bacterium
sequencing method
Illumina HiSeq 2000
taxonomic identity marker
multi-marker approach