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Rapid differentiation of Moraxella bovoculi genotypes 1 and 2 using MALDI-TOF mass spectrometry profiles.
Hille, Matthew; Dickey, Aaron; Robbins, Kara; Clawson, Michael L; Loy, John Dustin.
Afiliação
  • Hille M; University of Nebraska-Lincoln, Institute for Agriculture and Natural Resources, School of Veterinary Medicine and Biomedical Sciences, Lincoln, NE, USA.
  • Dickey A; United States Department of Agriculture, Agricultural Research Service, U.S. Meat Animal Research Center, Clay Center, NE, USA.
  • Robbins K; University of Nebraska-Lincoln, Institute for Agriculture and Natural Resources, School of Veterinary Medicine and Biomedical Sciences, Lincoln, NE, USA.
  • Clawson ML; United States Department of Agriculture, Agricultural Research Service, U.S. Meat Animal Research Center, Clay Center, NE, USA.
  • Loy JD; University of Nebraska-Lincoln, Institute for Agriculture and Natural Resources, School of Veterinary Medicine and Biomedical Sciences, Lincoln, NE, USA. Electronic address: jdloy@unl.edu.
J Microbiol Methods ; 173: 105942, 2020 06.
Article em En | MEDLINE | ID: mdl-32418912
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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Doenças dos Bovinos / Espectrometria de Massas por Ionização e Dessorção a Laser Assistida por Matriz / Infecções por Moraxellaceae / Genótipo / Moraxella Limite: Animals Idioma: En Revista: J Microbiol Methods Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Estados Unidos País de publicação: Holanda

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Doenças dos Bovinos / Espectrometria de Massas por Ionização e Dessorção a Laser Assistida por Matriz / Infecções por Moraxellaceae / Genótipo / Moraxella Limite: Animals Idioma: En Revista: J Microbiol Methods Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Estados Unidos País de publicação: Holanda