Differentiation of non-aureus staphylococci species isolated from bovine mastitis by PCR-RFLP of groEL and gap genes in comparison to MALDI-TOF mass spectrometry.
MALDI-TOF MS
Non-aureus staphylococci
Species identification
gap PCR-RFLP
groEL PCR-RFLP
Journal
Microbial pathogenesis
ISSN: 1096-1208
Titre abrégé: Microb Pathog
Pays: England
ID NLM: 8606191
Informations de publication
Date de publication:
Dec 2020
Dec 2020
Historique:
received:
24
04
2020
revised:
01
09
2020
accepted:
03
09
2020
pubmed:
11
9
2020
medline:
22
6
2021
entrez:
10
9
2020
Statut:
ppublish
Résumé
Intramammary infections (IMI) cause serious economic losses for farmers and the dairy industry. Cases of subclinical mastitis are commonly the result of infection by minor pathogens such as non-aureus staphylococci (NAS), so their correct identification is important for appropriate therapeutic intervention and management. The aim of this study was to assess the reliability of PCR-Restriction Fragment Length Polymorphism (PCR-RFLP) of the groEL and gap genes to discriminate between bovine-associated NAS species, using matrix-assisted laser desorption ionization time-of-flight mass spectrometry (MALDI-TOF MS) as the reference method. MALDI-TOF MS was able to correctly identify 112 NAS isolates from bovine IMI at species level out of a total of 115 (97.4%). These results were considered definitive and thus compared with those from the PCR-RFLP analyses. Only 50% (56/112) of the samples classified through groEL PCR-RFLP matched the molecular identity determined by MALDI-TOF MS, whereas coincidence rose to 96.4% (108/112) when comparing results from gap PCR-RFLP and the spectral analysis. This study demonstrates that gap PCR-RFLP is a useful and reliable tool for the identification of NAS species isolated from bovine mastitis.
Identifiants
pubmed: 32910983
pii: S0882-4010(20)30855-X
doi: 10.1016/j.micpath.2020.104489
pii:
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
104489Informations de copyright
Copyright © 2020 Elsevier Ltd. All rights reserved.