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Metagenome-assembled genome: ERR1544002_bin.96_CONCOCT_v1.1_MAG

Identifiers
BioSample: SAMEA14083615; SRA: ERS11686749
Organism
uncultured Clostridia bacterium
cellular organisms; Bacteria; Bacillati; Bacillota; Clostridia; environmental samples
Attributes
collection date2013-09-01
broad-scale environmental contextHost-associated
local-scale environmental contextHuman
environmental mediumDigestive system
geographic locationDenmark
investigation typemetagenome-assembled genome
isolation sourcehuman gut metagenome
project nameDiarrhoea is a major global disease burden and rapid, precise identification of the causative pathogens is important to initiate patient treatment and to discover and handle potential outbreaks. The current diagnostics involve numerous procedures and often the pathogen is not identified in time to guide clinical management. Furthermore, in many clinical cases pathogens are never identified. With next-generation sequencing (NGS) becoming cheaper it has huge potential in routine diagnostics. The aim of this study was to evaluate the potential of NGS-based diagnostics through direct sequencing of faecal samples. Fifty-eight clinical faecal samples were obtained from patients with diarrhoea as part of the routine diagnostics at Hvidovre University Hospital, Denmark. Ten samples from healthy individuals were also included. DNA was extracted from faecal samples and sequenced on the Illumina MiSeq. Species distribution was determined with MGmapper (http://cge.cbs.dtu.dk/services/MGmapper/) and NGS-based diagnostic prediction was performed based on relative abundance of pathogenic bacteria and Giardia and detection of pathogen-specific virulence genes. NGS-based diagnostic results were compared to conventional findings for 55 of the diarrhoeal samples; 38 conventionally positive for bacterial pathogens, two positive for Giardia, four positive for virus and 11 conventionally negative. The NGS-based approach enabled detection of the same bacterial pathogens as the classical approach in 34 of the 38 conventionally positive bacterial samples, and predicted responsible pathogens in five of 11 conventionally negative samples. Overall, the NGS-based approach enabled pathogen detection comparable to the conventional diagnostics, and the approach has potential to be extended for detection of all pathogens. At present, however, this approach is too expensive and time-consuming for routine diagnostics.
sample nameERR1544002_bin.96_CONCOCT_v1.1_MAG
ENA-CHECKLISTERC000047
ENA-FIRST-PUBLIC2023-01-03
ENA-LAST-UPDATE2023-01-03
External IdSAMEA14083615
INSDC center aliasEBI
INSDC center nameEuropean Bioinformatics Institute
INSDC first public2023-01-03T00:33:35Z
INSDC last update2023-01-03T00:33:35Z
INSDC statuspublic
Submitter IdERR1544002_bin.96_CONCOCT_v1.1_MAG
assembly qualityMany fragments with little to no review of assembly other than reporting of standard assembly statistics
assembly softwaremetaspadesv3.11.1
binning parametersDefault
binning softwareCONCOCT v1.1
broker nameEMG broker account, EMBL-EBI
completeness score98.67
completeness softwareCheckM
contamination score0.0
geographic location (latitude)56.2639
geographic location (longitude)9.5018
metagenomic sourcehuman gut metagenome
sample derived fromSAMEA4350168
scientific_nameuncultured Clostridia bacterium
sequencing methodIllumina MiSeq
taxonomic identity markermulti-marker approach
Description

This sample represents a Third Party Annotation (TPA) Metagenome-Assembled Genome (MAG) assembled from the metagenomic run ERR1544002 of study ERP015638.

BioProject
PRJEB51075 Large-scale analysis of novel cellular microbes from the human gut biome
Retrieve all samples from this project

Submission
EBI; 2023-01-04
Accession:
SAMEA14083615
ID:
32560231

BioProject Nucleotide

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