Use este identificador para citar ou linkar para este item: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1117863
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dc.contributor.authorBACANELLI, G.eng
dc.contributor.authorOLARTE, L. C.eng
dc.contributor.authorSILVA, M. R.eng
dc.contributor.authorRODRIGUES, R. A.eng
dc.contributor.authorCARNEIRO, P. A. M.eng
dc.contributor.authorKANEENE, J. B.eng
dc.contributor.authorPASQUATTI, T. N.eng
dc.contributor.authorTAKATANI, H.eng
dc.contributor.authorZUMÁRRAGA, M. J.eng
dc.contributor.authorETGES, R. N.eng
dc.contributor.authorARAUJO, F. R.eng
dc.contributor.authorVERBISCK, N. V.eng
dc.date.accessioned2019-12-30T18:11:10Z-
dc.date.available2019-12-30T18:11:10Z-
dc.date.created2019-12-30
dc.date.issued2019
dc.identifier.citationJournal the Veterinary Medical Science, v. 81, n. 10, p.1400?1408, 2019.eng
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/1117863-
dc.descriptionIn this study, Matrix Assisted Laser Desorption Ionization-Time-of-Flight (MALDITOF) 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.eng
dc.language.isoengeng
dc.rightsopenAccesseng
dc.subjectMatrix Assisted Laser Desorption Ionization-Time-of-Flight (MALDI-TOF) mass spectrometryeng
dc.titleMatrix Assisted Laser Desorption Ionization-Time-of-Flight mass spectrometry identification of Mycobacterium bovis in Bovinae.eng
dc.typeArtigo de periódicoeng
dc.date.updated2019-12-30T18:11:10Z
dc.subject.nalthesaurusBovine tuberculosiseng
dc.subject.nalthesaurusMycobacterium bovis BCGeng
dc.subject.nalthesaurusMycobacterium tuberculosis complexeng
riaa.ainfo.id1117863eng
riaa.ainfo.lastupdate2019-12-30
dc.contributor.institutionGISELE BACANELLI, Universidade Federal de Mato Grosso do Sul - UFMS/Programa de Pós-Graduação em Biotecnologia e Biodiversidade da Região Centro-Oesteeng
dc.contributor.institutionLARISSA C. OLARTE, Universidade Federal de Mato Grosso do Sul - UFMS/Programa de Pós-Graduação Multicêntrica em Bioquímica e Biologia Moleculareng
dc.contributor.institutionMARCIO ROBERTO SILVA, CNPGLeng
dc.contributor.institutionRUDIELLE A. RODRIGUES, Universidade Federal de Mato Grosso do Sul - UFMS/Faculdade de Medicina Veterinária/Programa de Pós-Graduação em Ciências Veterináriaseng
dc.contributor.institutionPAULO A. M. CARNEIRO, Michigan State University/Center for Comparative Epidemiologyeng
dc.contributor.institutionJOHN B. KANEENE, Michigan State University/Center for Comparative Epidemiologyeng
dc.contributor.institutionTAYNARA N. PASQUATTI, Universidade Católica Dom Bosco - UCDBeng
dc.contributor.institutionHARUO TAKATANI, Agência de Defesa Agrícola do Amazonaseng
dc.contributor.institutionMARTIN J. ZUMÁRRAGA, Institute of Biotechnology, CICVyA/INTAeng
dc.contributor.institutionRODRIGO N. ETGES, Secretário de Agricultura, Pecuária e Irrigação de Porto Alegreeng
dc.contributor.institutionFLABIO RIBEIRO DE ARAUJO, CNPGCeng
dc.contributor.institutionNEWTON VALERIO VERBISCK, CNPGC.eng
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