Bacterial colonization dynamics and antibiotic resistance gene dissemination in the hospital environment after first patient occupancy: a longitudinal metagenetic study
Authors/Creators
- 1. Jena University Hospital, ZIK Septomics, Host Septomics, Jena, Germany
- 2. Institute for Hygiene and Environmental Medicine and Department for Medicine (Gastroenterology, Infectious diseases, Rheumatology), Charité – Universitätsmedizin Berlin
- 3. University Institute of Tropical Diseases and Public Health of the Canary Islands, University of La Laguna, Spain
- 4. BioControl Jena GmbH, Jena, Germany
- 5. Institute for Hygiene and Environmental Medicine, Charité – Universitätsmedizin Berlin
Contributors
Contact person:
- 1. Jena University Hospital, ZIK Septomics, Host Septomics, Jena, Germany
Description
In this study, we performed a longitudinal metagenetic approach in a newly opened ward at the Charité Hospital (Berlin) to characterize the dynamics of the bacterial colonization process in the hospital environment after first patient occupancy. The sequencing data showed a site-specific taxonomic succession, which led to stable community structures after only a few weeks.
This archive contains results and data of the 16S rRNA amplicon sequencing performed on 854 environmental and 408 patient DNA samples collected over the time course of 31 weeks in a newly opened ward in the neurological station at the Charité Hospital (Berlin). The files include a study information and sample metadata sheets, BIOM-tables and information about the taxonomy results and diversity metrics.
Files:
* Study information
Study_information.csv
* Sample metadata
Mapping_file_patient_samples.txt
Mapping_file_environmental_samples.txt
* BIOM-tables and taxonomy summaries
otu_table_n10_mFr02_Patient.biom
otu_table_n10_mFr02_environment.biom
Patients_taxonomy_SILVA99_L5.txt
Environment_taxonomy_SILVA99_L5.txt
* Beta-diversity results
weighted_unifrac_dm_environment.txt
weighted_unifrac_pc_environment.txt
weighted_unifrac_dm_patient_environment.txt
weighted_unifrac_pc_patient_environment.txt
Analyses:
Analyses were perfomed in QIIME v.1.9.1 using the SILVA NR REF 99 (release 132) database for taxonomic assignment.
Files
Environment_taxonomy_SILVA99_L5.txt
Files
(41.2 MB)
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