Matrix Assisted Laser Desorption Ionization-Time-of-Flight mass spectrometry identification of Mycobacterium bovis in Bovinae

• Published in: Journal of Veterinary Medical Science Vol. 81; no. 10; pp. 1400 - 1408
• Main Authors: BACANELLI, Gisele, OLARTE, Larissa C., SILVA, Márcio R., RODRIGUES, Rudielle A., CARNEIRO, Paulo A.M., KANEENE, John B., PASQUATTI, Taynara N., TAKATANI, Haruo, ZUMÁRRAGA, Martin J., ETGES, Rodrigo N., ARAÚJO, Flábio R., VERBISCK, Newton V.
• Format: Journal Article
• Language: English
• Published: Japan JAPANESE SOCIETY OF VETERINARY SCIENCE 2019; Japan Science and Technology Agency; The Japanese Society of Veterinary Science
• Subjects: Animal tissues; Animals; Bacterial Proteins - analysis; Bacterial Proteins - isolation & purification; Bacteriology; bovine tuberculosis; Cattle; Clinical isolates; Desorption; Ionization; Ions; Mass spectra; Mass spectrometry; Mass spectroscopy; Matrix Assisted Laser Desorption Ionization-Time-of-Flight (MALDI-TOF) mass spectrometry; Mycobacterium bovis; Mycobacterium bovis - isolation & purification; Mycobacterium tuberculosis complex; Optimization; Polymerase chain reaction; Scientific imaging; Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization - veterinary; Spoligotyping; Tuberculosis; Tuberculosis, Bovine - diagnosis; Matrix Assisted Laser Desorption Ionization-Time-of-Flight (MALDI-TOF) mass spectrometry; Mycobacterium tuberculosis complex; bovine tuberculosis; Mycobacterium bovis
• ISSN: 0916-7250; 1347-7439
• DOI: 10.1292/jvms.19-0214

In this study, Matrix Assisted Laser Desorption Ionization-Time-of-Flight (MALDI-TOF) mass spectrometry was used to identify Mycobacterium bovis from cattle and buffalo tissue isolates from the North and South regions of Brazil, grown in solid medium and previously identified by Polymerase Chain Reaction (PCR) based on Region of Difference 4 (RD4), sequencing and spoligotyping. For this purpose, the protein extraction protocol and the mass spectra reference database were optimized for the identification of 80 clinical isolates of mycobacteria. As a result of this optimization, it was possible to identify and differentiate M. bovis from other members of the Mycobacterium tuberculosis complex with 100% specificity, 90.91% sensitivity and 91.25% reliability. MALDI-TOF MS methodology described herein provides successful identification of M. bovis within bovine/bubaline clinical samples, demonstrating its usefulness for bovine tuberculosis diagnosis in the future.