scholarly journals Optimizing identification of Mycoplasma bovis by MALDI-TOF MS

2019 ◽  
Vol 125 ◽  
pp. 185-188 ◽  
Author(s):  
Jade Bokma ◽  
Bart Pardon ◽  
Laura Van Driessche ◽  
Linde Gille ◽  
Piet Deprez ◽  
...  
2021 ◽  
Vol 17 (1) ◽  
Author(s):  
Aric J. McDaniel ◽  
Rachel J. Derscheid

Abstract Background Mycoplasma bovis is an important pathogen of cattle worldwide. Many different clinical manifestations of infection can occur, including respiratory disease, arthritis, and mastitis, causing heavy losses to beef and dairy industries. Because Mycoplasma species are slow-growing and fastidious, traditional identification methods are not cost- or time-effective, and improved methods are sought to streamline laboratory processes. High-resolution melting PCR (HRM-PCR) and matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) are 2 relatively recent tools that are rapid and inexpensive to use; we tested 9 isolates of M. bovis using both assays. The HRM-PCR assay used universal mycoplasma primers for the 16S–23S intergenic spacer region (IGSR). Results The resulting melting profiles of the field isolates were indistinguishable from the reference strain, indicating accurate identification. For the MALDI-TOF MS, each M. bovis isolate was accurately identified. Mycoplasma arginini and Mycoplasma alkalescens isolates did not identify as M. bovis when tested by either assay. Conclusions Our work shows that either assay could be used to identify unknown M. bovis isolates. For future work, the MALDI-TOF MS library should be expanded to include more mycoplasmas, and the HRM-PCR assay should be tested on additional mycoplasmas to ensure that the melting profiles are sufficiently distinctive.


2007 ◽  
Vol 177 (4S) ◽  
pp. 297-297
Author(s):  
Kristina Schwamborn ◽  
Rene Krieg ◽  
Ruth Knüchel-Clarke ◽  
Joachim Grosse ◽  
Gerhard Jakse

Planta Medica ◽  
2016 ◽  
Vol 81 (S 01) ◽  
pp. S1-S381
Author(s):  
L Fougère ◽  
D Da Silva ◽  
E Destandau ◽  
C Elfakir
Keyword(s):  

2017 ◽  
Author(s):  
M Erhard ◽  
M Metzner ◽  
D Köhler-Repp ◽  
B Köhler ◽  
R Storandt
Keyword(s):  

2019 ◽  
Author(s):  
M Hooshyari ◽  
H Rezadoost ◽  
P Ghezellou ◽  
A Ghassempour

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