Plasmid sequence dataset of multidrug-resistant Enterobacterales isolated from hospital effluents and wastewater treatment plant.

Enterobacterales Hospital effluents Plasmid Resistance genes Wastewater treatment plant β-lactamases

Journal

Data in brief
ISSN: 2352-3409
Titre abrégé: Data Brief
Pays: Netherlands
ID NLM: 101654995

Informations de publication

Date de publication:
Dec 2022
Historique:
received: 28 09 2022
revised: 02 11 2022
accepted: 04 11 2022
entrez: 25 11 2022
pubmed: 26 11 2022
medline: 26 11 2022
Statut: epublish

Résumé

We present plasmid sequences of 21 multidrug resistant isolates of Enterobacterales belonging to

Identifiants

pubmed: 36426060
doi: 10.1016/j.dib.2022.108736
pii: S2352-3409(22)00940-4
pmc: PMC9679747
doi:

Types de publication

Journal Article

Langues

eng

Pagination

108736

Informations de copyright

© 2022 The Author(s).

Déclaration de conflit d'intérêts

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Références

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J Clin Microbiol. 2022 Mar 16;60(3):e0027621
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Auteurs

Christopher Mutuku (C)

Department of General and Environmental Microbiology, Faculty of Sciences, University of Pécs, 7622 Pécs, Hungary.

Barbara Kutasy (B)

Department of Plant Physiology and Plant Ecology, Hungarian University of Agriculture and Life Sciences, Georgikon Campus Keszthely, 8360 Keszthely, Festetics Gy. u.7., Hungary.

Peter Urban (P)

Bioinformatics Research Group, Szentágothai Research Centre, 7624 Pécs, Hungary.

Szilvia Melegh (S)

Department of Medical Microbiology and Immunology, Medical School, University of Pécs, 7622, Pécs, Hungary.

Robert Herczeg (R)

Bioinformatics Research Group, Szentágothai Research Centre, 7624 Pécs, Hungary.

Zoltan Gazdag (Z)

Department of General and Environmental Microbiology, Faculty of Sciences, University of Pécs, 7622 Pécs, Hungary.

Eszter Virág (E)

Department of Molecular Biotechnology and Microbiology, Institute of Biotechnology, Faculty of Science and Technology, University of Debrecen, Egyetem Square 1, 4032 Debrecen, Hungary.

Classifications MeSH