Bacteroides uniformis
ENA first public
2024-09-21
INSDC center name
EMBL Heidelberg
INSDC status
public
Submitter Id
spire_mag_01534235
assembly quality
Many fragments with little to no review of assembly other than reporting of standard assembly statistics
assembly software
megahit 1.2.9
binning parameters
default
binning software
metabat 2.12.1
broad-scale environmental context
human digestive system
broker name
EBI-EMG
collection date
missing: third party data
completeness score
71.61
completeness software
checkm2 0.1.3
contamination score
2.46
environmental medium
not provided
geographic location (country and/or sea)
not provided
geographic location (latitude)
missing: third party data
geographic location (longitude)
missing: third party data
investigation type
metagenome-assembled genome
isolation_source
human gut metagenome
local environmental context
human gut
metagenomic source
human gut metagenome
project name
Assessment and characterization of gut microbiota has become a major research area in human disease, including type 2 diabetes, the most prevalent endocrine disease worldwide. To carry out analysis on gut microbial content in patients with type 2 diabetes, we developed a protocol for a metagenome-wide association study (MGWAS) and undertook a two-stage MGWAS based on deep shotgun sequencing of the gut microbial DNA from 345 Chinese individuals. We identified and validated approximately 60,000 type-2-diabetes-associated markers and established the concept of a metagenomic linkage group, enabling taxonomic species-level analyses. MGWAS analysis showed that patients with type 2 diabetes were characterized by a moderate degree of gut microbial dysbiosis, a decrease in the abundance of some universal butyrate-producing bacteria and an increase in various opportunistic pathogens, as well as an enrichment of other microbial functions conferring sulphate reduction and oxidative stress resistance. An analysis of 23 additional individuals demonstrated that these gut microbial markers might be useful for classifying type 2 diabetes.
sample derived from
SAMN00792025
sample name
spire_mag_01534235
scientific_name
Bacteroides uniformis
sequencing method
Illumina Genome Analyzer II
taxonomic identity marker
multi-marker approach