Metagenome-assembled genome: ERP118353_co1_20
uncultured Ktedonobacterales bacterium
This sample represents a Third Party Annotation (TPA) Metagenome-assembled genome assembled from the metagenomic runs ERR3654040,ERR3654041 of study ERP118353.
ENA first public
2024-12-11
INSDC center name
CMR
INSDC status
public
Submitter Id
ERP118353_co1_20
assembly quality
Many fragments with little to no review of assembly other than reporting of standard assembly statistics
assembly software
metaSPAdes;3.15.4;default
binning parameters
coverage and kmer
binning software
MetaBAT2;2.15;default
broad-scale environmental context
aquatic
collection date
2018-12-11
completeness score
62.05
completeness software
CheckM2;1.0.2;default
contamination score
2.24
environmental medium
aquatic
geographic location (country and/or sea)
not provided
geographic location (latitude)
not provided
geographic location (longitude)
not provided
investigation type
metagenome-assembled genome
isolation_source
groundwater metagenome
local environmental context
groundwater biome
metagenomic source
groundwater metagenome
project name
Assembling microbial and phage genomes from metagenomes is a powerful and appealing method to understand structure-function relationships in complex environments that are dominated by uncultured and/or under-studied groups. This study aimed to investigate the impact of incorporating long-read data into the process of reconstructing metagenome-assembled genomes (MAGs) from a complex groundwater aquifer. We generated shotgun metagenomes with traditional Illumina sequencing accompanied by long reads derived from the Oxford Nanopore sequencing platform. This work provides quantitative data to inform a cost-benefit analysis on the decision to supplement shotgun metagenomic projects with long reads towards the goal of recovering genomes from environmentally abundant groups. Groundwater was collected from the Hainich Critical Zone Exploratory, a near-surface aquifer transect that is established in NW Thuringia, Germany. This data set is part of the DFG-funded CRC AquaDiva (https://www.aquadiva.uni-jena.de/) of the Friedrich Schiller University Jena.
sample derived from
SAMEA6167471,SAMEA6167472
sample name
ERP118353_co1_20
scientific_name
uncultured Ktedonobacterales bacterium
sequencing method
Illumina MiSeq
taxonomic identity marker
multi-marker approach