Metagenome-assembled genome: ERR1332588_bin.19_CONCOCT_v1.1_MAG
Corynebacterium bovis
This sample represents a Third Party Annotation (TPA) Metagenome-Assembled Genome (MAG) assembled from the metagenomic run ERR1332588 of study ERP014653.
ENA-FIRST-PUBLIC
2023-01-03
ENA-LAST-UPDATE
2023-01-03
External Id
SAMEA14081593
INSDC center alias
EBI
INSDC center name
European Bioinformatics Institute
INSDC first public
2023-01-03T00:32:45Z
INSDC last update
2023-01-03T00:32:45Z
INSDC status
public
Submitter Id
ERR1332588_bin.19_CONCOCT_v1.1_MAG
assembly quality
Many fragments with little to no review of assembly other than reporting of standard assembly statistics
assembly software
metaspadesv3.11.1
binning parameters
Default
binning software
CONCOCT v1.1
broker name
EMG broker account, EMBL-EBI
collection date
2013-06-01
completeness score
74.02
completeness software
CheckM
contamination score
0.83
environment (biome)
Engineered
environment (feature)
Engineered
environment (material)
Engineered
geographic location (country and/or sea)
USA
geographic location (latitude)
41.779858
geographic location (longitude)
-87.6001
investigation type
metagenome-assembled genome
isolation_source
metagenome
metagenomic source
metagenome
project name
The microorganisms that inhabit hospitals may significantly influence patient recovery rates and outcomes, though the complexity and diversity of these communities confound our ability to focus on potential pathogens in isolation. To develop a community level understating of how microorganisms colonize and move through the hospital environment, we mapped microbial dynamics between hospital surfaces, air and water to patients and staff over the course of one year as a new hospital became operational. Immediately following the introduction of staff and patients, the hospital microbiome became dominated by human skin-associated bacteria. Patient skin samples had the lowest microbial diversity, while the greatest diversity was found on surfaces interacting with outdoor environments. The microbiota of patient room surfaces, especially bedrails, consistently resembled the skin microbial community of the current patient within 24 hours of occupancy, with degree of similarity significantly correlated to higher humidity and lower temperatures. Microbial similarity between staff members showed a significant seasonal trend suggesting interpersonal microbial transmission in hospital environments is influenced by built environment parameters.
sample derived from
SAMEA3904669
sample name
ERR1332588_bin.19_CONCOCT_v1.1_MAG
scientific_name
Corynebacterium bovis
sequencing method
Illumina HiSeq 1500
taxonomic identity marker
multi-marker approach