Rapid differentiation of Moraxella bovoculi genotypes 1 and 2 using MALDI-TOF mass spectrometry profiles.
Animals
Biomarkers
Cattle
Cattle Diseases
/ diagnosis
Eye
/ microbiology
Genotype
Keratoconjunctivitis, Infectious
/ diagnosis
Moraxella
/ genetics
Moraxellaceae Infections
/ diagnosis
Polymorphism, Single Nucleotide
Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization
/ methods
Whole Genome Sequencing
Biomarker model
Bovine pinkeye
Infectious bovine keratoconjunctivitis
MALDI-TOF MS
Moraxella bovoculi
Journal
Journal of microbiological methods
ISSN: 1872-8359
Titre abrégé: J Microbiol Methods
Pays: Netherlands
ID NLM: 8306883
Informations de publication
Date de publication:
06 2020
06 2020
Historique:
received:
10
03
2020
revised:
06
05
2020
accepted:
06
05
2020
pubmed:
19
5
2020
medline:
4
6
2021
entrez:
19
5
2020
Statut:
ppublish
Résumé
Moraxella bovoculi is the most frequently isolated bacteria from the eyes of cattle with Infectious Bovine Keratoconjunctivitis (IBK), also known as bovine pinkeye. Two distinct genotypes of M. bovoculi, genotype 1 and genotype 2, were characterized after whole genome sequencing showed a large degree of single nucleotide polymorphism (SNP) diversity within the species. To date, both genotypes have been isolated from the eyes of cattle without clinical signs of IBK while only genotype 1 strains have been isolated from the eyes of cattle with clinical signs of IBK. We used 38 known genotype 1 strains and 26 known genotype 2 strains to assess the ability of matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) to accurately genotype M. bovoculi strains using mass spectrum biomarkers. Mass spectrum data was analyzed with ClinProTools 3.0 software and six models were developed that classify strain genotypes with accuracies ranging from 90.6% - 100%. Finally, using four of the most genotype-specific peaks that also exhibited high peak intensities from the six automated models, we developed a customized model (UNL assisted model) that had recognition capability, validation, and classification accuracies of 100% for genotype classification. Our results indicate that MALDI-TOF MS biomarkers can be used to accurately discriminate genotypes of M. bovoculi without the need for additional methods.
Identifiants
pubmed: 32418912
pii: S0167-7012(20)30164-0
doi: 10.1016/j.mimet.2020.105942
pii:
doi:
Substances chimiques
Biomarkers
0
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Research Support, U.S. Gov't, Non-P.H.S.
Langues
eng
Sous-ensembles de citation
IM
Pagination
105942Informations de copyright
Copyright © 2020 The Authors. Published by Elsevier B.V. All rights reserved.
Déclaration de conflit d'intérêts
Declaration of competing interest None.