Integrating Culture-based Antibiotic Resistance Profiles with Whole-genome Sequencing Data for 11,087 Clinical Isolates.


Journal

Genomics, proteomics & bioinformatics
ISSN: 2210-3244
Titre abrégé: Genomics Proteomics Bioinformatics
Pays: China
ID NLM: 101197608

Informations de publication

Date de publication:
04 2019
Historique:
received: 04 06 2018
revised: 09 10 2018
accepted: 07 11 2018
pubmed: 18 5 2019
medline: 18 10 2019
entrez: 18 5 2019
Statut: ppublish

Résumé

Emerging antibiotic resistance is a major global health threat. The analysis of nucleic acid sequences linked to susceptibility phenotypes facilitates the study of genetic antibiotic resistance determinants to inform molecular diagnostics and drug development. We collected genetic data (11,087 newly-sequenced whole genomes) and culture-based resistance profiles (10,991 out of the 11,087 isolates comprehensively tested against 22 antibiotics in total) of clinical isolates including 18 main species spanning a time period of 30 years. Species and drug specific resistance patterns were observed including increased resistance rates for Acinetobacter baumannii to carbapenems and for Escherichia coli to fluoroquinolones. Species-level pan-genomes were constructed to reflect the genetic repertoire of the respective species, including conserved essential genes and known resistance factors. Integrating phenotypes and genotypes through species-level pan-genomes allowed to infer gene-drug resistance associations using statistical testing. The isolate collection and the analysis results have been integrated into GEAR-base, a resource available for academic research use free of charge at https://gear-base.com.

Identifiants

pubmed: 31100356
pii: S1672-0229(19)30092-0
doi: 10.1016/j.gpb.2018.11.002
pmc: PMC6624217
pii:
doi:

Types de publication

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

Langues

eng

Sous-ensembles de citation

IM

Pagination

169-182

Informations de copyright

Copyright © 2019 The Authors. Production and hosting by Elsevier B.V. All rights reserved.

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Auteurs

Valentina Galata (V)

Chair for Clinical Bioinformatics, Saarland University, 66123 Saarbrücken, Germany.

Cédric C Laczny (CC)

Chair for Clinical Bioinformatics, Saarland University, 66123 Saarbrücken, Germany.

Christina Backes (C)

Chair for Clinical Bioinformatics, Saarland University, 66123 Saarbrücken, Germany.

Georg Hemmrich-Stanisak (G)

Institute of Clinical Molecular Biology, Christian-Albrechts University of Kiel, 24105 Kiel, Germany.

Susanne Schmolke (S)

Siemens Healthcare GmbH, Strategy and Innovation, 91052 Erlangen, Germany.

Andre Franke (A)

Institute of Clinical Molecular Biology, Christian-Albrechts University of Kiel, 24105 Kiel, Germany.

Eckart Meese (E)

Department of Human Genetics, Saarland University, 66421 Homburg, Germany.

Mathias Herrmann (M)

Institute of Medical Microbiology and Hygiene, Saarland University, 66421 Homburg, Germany.

Lutz von Müller (L)

Institute of Medical Microbiology and Hygiene, Saarland University, 66421 Homburg, Germany.

Achim Plum (A)

Ares Genetics GmbH, 1030 Vienna, Austria; Curetis GmbH, 71088 Holzgerlingen, Germany.

Rolf Müller (R)

Department of Pharmacy, Pharmaceutical Biotechnology, Saarland University, 66123 Saarbrücken, Germany; Department of Microbial Natural Products, Helmholtz-Institute for Pharmaceutical Research Saarland (HIPS), Saarland University, 66123 Saarbrücken, Germany; Helmholtz Center for Infection Research and Pharmaceutical Biotechnology (HZI), Saarland University, 66123 Saarbrücken, Germany.

Cord Stähler (C)

Chair for Clinical Bioinformatics, Saarland University, 66123 Saarbrücken, Germany.

Andreas E Posch (AE)

Chair for Clinical Bioinformatics, Saarland University, 66123 Saarbrücken, Germany; Ares Genetics GmbH, 1030 Vienna, Austria; Curetis GmbH, 71088 Holzgerlingen, Germany. Electronic address: andreas.posch@ares-genetics.com.

Andreas Keller (A)

Chair for Clinical Bioinformatics, Saarland University, 66123 Saarbrücken, Germany. Electronic address: andreas.keller@uni-saarland.de.

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