Genome-Wide Association Study Reveals Genetic Markers for Antimicrobial Resistance in Mycoplasma bovis.


Journal

Microbiology spectrum
ISSN: 2165-0497
Titre abrégé: Microbiol Spectr
Pays: United States
ID NLM: 101634614

Informations de publication

Date de publication:
31 10 2021
Historique:
pubmed: 7 10 2021
medline: 2 2 2022
entrez: 6 10 2021
Statut: ppublish

Résumé

Mycoplasma bovis causes many health and welfare problems in cattle. Due to the absence of clear insights regarding transmission dynamics and the lack of a registered vaccine in Europe, control of an outbreak depends mainly on antimicrobial therapy. Unfortunately, antimicrobial susceptibility testing (AST) is usually not performed, because it is time-consuming and no standard protocol or clinical breakpoints are available. Fast identification of genetic markers associated with acquired resistance may at least partly resolve former issues. Therefore, the aims of this study were to implement a first genome-wide association study (GWAS) approach to identify genetic markers linked to antimicrobial resistance (AMR) in M. bovis using rapid long-read sequencing and to evaluate different epidemiological cutoff (ECOFF) thresholds. High-quality genomes of 100 M. bovis isolates were generated by Nanopore sequencing, and isolates were categorized as wild-type or non-wild-type isolates based on MIC testing results. Subsequently, a k-mer-based GWAS analysis was performed to link genotypes with phenotypes based on different ECOFF thresholds. This resulted in potential genetic markers for macrolides (gamithromycin and tylosin) (23S rRNA gene and 50S ribosomal unit) and enrofloxacin (GyrA and ParC). Also, for tilmicosin and the tetracyclines, previously described mutations in both 23S rRNA alleles and in one or both 16S rRNA alleles were observed. In addition, two new 16S rRNA mutations were possibly associated with gentamicin resistance. In conclusion, this study shows the potential of quick high-quality Nanopore sequencing and GWAS analysis in the evaluation of phenotypic ECOFF thresholds and the rapid identification of M. bovis strains with acquired resistance.

Identifiants

pubmed: 34612702
doi: 10.1128/Spectrum.00262-21
pmc: PMC8510175
doi:

Substances chimiques

Anti-Bacterial Agents 0
Genetic Markers 0
Gentamicins 0
Macrolides 0
Tetracyclines 0
Enrofloxacin 3DX3XEK1BN
tilmicosin XL4103X2E3
Tylosin YEF4JXN031

Types de publication

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

Langues

eng

Sous-ensembles de citation

IM

Pagination

e0026221

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Auteurs

Jade Bokma (J)

Department of Large Animal Internal Medicine, Faculty of Veterinary Medicine, Ghent Universitygrid.5342.0, Merelbeke, Belgium.
Department of Pathology, Bacteriology, and Avian Diseases, Faculty of Veterinary Medicine, Ghent Universitygrid.5342.0, Merelbeke, Belgium.

Nick Vereecke (N)

Department of Virology, Parasitology, and Immunology, Faculty of Veterinary Medicine, Ghent Universitygrid.5342.0, Merelbeke, Belgium.
PathoSense BV, Lier, Belgium.

Hans Nauwynck (H)

Department of Virology, Parasitology, and Immunology, Faculty of Veterinary Medicine, Ghent Universitygrid.5342.0, Merelbeke, Belgium.
PathoSense BV, Lier, Belgium.

Freddy Haesebrouck (F)

Department of Pathology, Bacteriology, and Avian Diseases, Faculty of Veterinary Medicine, Ghent Universitygrid.5342.0, Merelbeke, Belgium.

Sebastiaan Theuns (S)

Department of Virology, Parasitology, and Immunology, Faculty of Veterinary Medicine, Ghent Universitygrid.5342.0, Merelbeke, Belgium.
PathoSense BV, Lier, Belgium.

Bart Pardon (B)

Department of Large Animal Internal Medicine, Faculty of Veterinary Medicine, Ghent Universitygrid.5342.0, Merelbeke, Belgium.

Filip Boyen (F)

Department of Pathology, Bacteriology, and Avian Diseases, Faculty of Veterinary Medicine, Ghent Universitygrid.5342.0, Merelbeke, Belgium.

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Classifications MeSH