Detection of mobile genetic elements associated with antibiotic resistance in Salmonella enterica using a newly developed web tool: MobileElementFinder.


Journal

The Journal of antimicrobial chemotherapy
ISSN: 1460-2091
Titre abrégé: J Antimicrob Chemother
Pays: England
ID NLM: 7513617

Informations de publication

Date de publication:
01 01 2021
Historique:
received: 20 05 2020
accepted: 19 08 2020
pubmed: 4 10 2020
medline: 25 6 2021
entrez: 3 10 2020
Statut: ppublish

Résumé

Antimicrobial resistance (AMR) in clinically relevant bacteria is a growing threat to public health globally. In these bacteria, antimicrobial resistance genes are often associated with mobile genetic elements (MGEs), which promote their mobility, enabling them to rapidly spread throughout a bacterial community. The tool MobileElementFinder was developed to enable rapid detection of MGEs and their genetic context in assembled sequence data. MGEs are detected based on sequence similarity to a database of 4452 known elements augmented with annotation of resistance genes, virulence factors and detection of plasmids. MobileElementFinder was applied to analyse the mobilome of 1725 sequenced Salmonella enterica isolates of animal origin from Denmark, Germany and the USA. We found that the MGEs were seemingly conserved according to multilocus ST and not restricted to either the host or the country of origin. Moreover, we identified putative translocatable units for specific aminoglycoside, sulphonamide and tetracycline genes. Several putative composite transposons were predicted that could mobilize, among others, AMR, metal resistance and phosphodiesterase genes associated with macrophage survivability. This is, to our knowledge, the first time the phosphodiesterase-like pdeL has been found to be potentially mobilized into S. enterica. MobileElementFinder is a powerful tool to study the epidemiology of MGEs in a large number of genome sequences and to determine the potential for genomic plasticity of bacteria. This web service provides a convenient method of detecting MGEs in assembled sequence data. MobileElementFinder can be accessed at https://cge.cbs.dtu.dk/services/MobileElementFinder/.

Identifiants

pubmed: 33009809
pii: 5917579
doi: 10.1093/jac/dkaa390
pmc: PMC7729385
doi:

Substances chimiques

Anti-Bacterial Agents 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

101-109

Informations de copyright

© The Author(s) 2020. Published by Oxford University Press on behalf of the British Society for Antimicrobial Chemotherapy.

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Auteurs

Markus H K Johansson (MHK)

National Food Institute, Technical University of Denmark, 2800 Kgs. Lyngby, Denmark.

Valeria Bortolaia (V)

National Food Institute, Technical University of Denmark, 2800 Kgs. Lyngby, Denmark.

Supathep Tansirichaiya (S)

Department of Clinical Dentistry, Faculty of Health Sciences, UiT the Arctic University of Norway, Tromsø, Norway.

Frank M Aarestrup (FM)

National Food Institute, Technical University of Denmark, 2800 Kgs. Lyngby, Denmark.

Adam P Roberts (AP)

Department of Tropical Disease Biology, Liverpool School of Tropical Medicine, Liverpool, UK.

Thomas N Petersen (TN)

National Food Institute, Technical University of Denmark, 2800 Kgs. Lyngby, Denmark.

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Classifications MeSH