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Registro Completo |
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Biblioteca(s): |
Embrapa Unidades Centrais. |
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Data corrente: |
14/06/2018 |
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Data da última atualização: |
14/06/2018 |
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Autoria: |
BRAGA, P. A. C.; GONÇALVES, J. L.; BARREIRO, J. R.; FERREIRA, C. R.; TOMAZI, T.; EBERLIN, M. N.; SANTOS, M. V. |
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Afiliação: |
Patrícia A. C. Braga, Laboratório Thomson de Espectrometria de Massas, Instituto de Química, Universidade Estadual de Campinas - Unicamp; Juliano L. Gonçalves, Departamento de Nutrição e Produção Animal, Faculdade de Medicina Veterinária e Zootecnia, Universidade de São Paulo - USP; Juliana R. Barreiro, Departamento de Nutrição e Produção Animal, Faculdade de Medicina Veterinária e Zootecnia, Universidade de São Paulo - USP; Christina R. Ferreira, Laboratório Thomson de Espectrometria de Massas, Instituto de Química, Universidade Estadual de Campinas - Unicamp; Tiago Tomazi, Departamento de Nutrição e Produção Animal, Faculdade de Medicina Veterinária e Zootecnia, Universidade de São Paulo - USP; Marcos N. Eberlin, Laboratório Thomson de Espectrometria de Massas, Instituto de Química, Universidade Estadual de Campinas - Unicamp; Marcos V. Santos, Departamento de Nutrição e Produção Animal, Faculdade de Medicina Veterinária e Zootecnia, Universidade de São Paulo - USP. |
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Título: |
Rapid identification of bovine mastitis pathogens by MALDI-TOF Mass Spectrometry. |
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Ano de publicação: |
2018 |
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Fonte/Imprenta: |
Pesquisa Veterinária Brasileira, Rio de Janeiro, v. 38, n. 4, p. 586-594, abril 2018 |
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Idioma: |
Inglês |
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Notas: |
Título em português: Rápida identificação de agentes causadores de mastite por espectrometria de massas MALDI-TOF. |
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Conteúdo: |
Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) has been shown to be an alternative method for identification of bacteria via their protein profile spectra, being able to identify bacteria at the genus, species and even at subspecies level. With the aim of large-scale identification of pathogens causing mastitis by this platform, a total of 305 isolates of bacteria identified from cows with subclinical mastitis were analyzed by conventional microbiological culture (MC) as well as by MALDI-TOF MS coupled with Biotyper data processing. Approximately 89% of the identifications performed by MALDI-TOF MS were consistent with results obtained by MC. From the remaining isolates (11%), 6.3% of isolates were classified as misidentified (discordance for both genus and species level), and 4.7% showed identification agreement at the genus level but not at the species level, being classified as unidentified at species level. The disagreement results were mostly associated with identification of Streptococcus and Enterococcus species probably due to the narrow phenotypic similarity between these two genera. These disagreement results suggest that biochemical assays might be prone to identification errors and, MALDI-TOF MS therefore may be an alternative to overcome incorrect species-specific identification. Standard microbiological methods for bovine mastitis diagnosis are time consuming, laborious and prone to errors for some bacteria genera. In our study, we showed that MALDI-TOF MS coupled with Biotyper may be an alternative method for large-scale identification of bacteria isolated from milk samples compared to classical microbiological routine protocols. MenosMatrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) has been shown to be an alternative method for identification of bacteria via their protein profile spectra, being able to identify bacteria at the genus, species and even at subspecies level. With the aim of large-scale identification of pathogens causing mastitis by this platform, a total of 305 isolates of bacteria identified from cows with subclinical mastitis were analyzed by conventional microbiological culture (MC) as well as by MALDI-TOF MS coupled with Biotyper data processing. Approximately 89% of the identifications performed by MALDI-TOF MS were consistent with results obtained by MC. From the remaining isolates (11%), 6.3% of isolates were classified as misidentified (discordance for both genus and species level), and 4.7% showed identification agreement at the genus level but not at the species level, being classified as unidentified at species level. The disagreement results were mostly associated with identification of Streptococcus and Enterococcus species probably due to the narrow phenotypic similarity between these two genera. These disagreement results suggest that biochemical assays might be prone to identification errors and, MALDI-TOF MS therefore may be an alternative to overcome incorrect species-specific identification. Standard microbiological methods for bovine mastitis diagnosis are time consuming, laborious and prone to errors for some bacteria genera. I... Mostrar Tudo |
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Palavras-Chave: |
Espectrometria de massas; Identificação rápida; MALDI-TOF MS; Mastite subclínica; Perfil proteico; Rapid identification; Subclinical mastitis. |
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Thesagro: |
Bacteriose; Bovino; Mamite. |
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Thesaurus Nal: |
Bovine mastitis; Cattle; Mass spectrometry; Pathogens; Peptide mapping. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/178661/1/Rapid-identification-of-bovine-mastitis.pdf
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Marc: |
LEADER 02926naa a2200385 a 4500
001 2092505
005 2018-06-14
008 2018 bl uuuu u00u1 u #d
100 1 $aBRAGA, P. A. C.
245 $aRapid identification of bovine mastitis pathogens by MALDI-TOF Mass Spectrometry.$h[electronic resource]
260 $c2018
500 $aTítulo em português: Rápida identificação de agentes causadores de mastite por espectrometria de massas MALDI-TOF.
520 $aMatrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) has been shown to be an alternative method for identification of bacteria via their protein profile spectra, being able to identify bacteria at the genus, species and even at subspecies level. With the aim of large-scale identification of pathogens causing mastitis by this platform, a total of 305 isolates of bacteria identified from cows with subclinical mastitis were analyzed by conventional microbiological culture (MC) as well as by MALDI-TOF MS coupled with Biotyper data processing. Approximately 89% of the identifications performed by MALDI-TOF MS were consistent with results obtained by MC. From the remaining isolates (11%), 6.3% of isolates were classified as misidentified (discordance for both genus and species level), and 4.7% showed identification agreement at the genus level but not at the species level, being classified as unidentified at species level. The disagreement results were mostly associated with identification of Streptococcus and Enterococcus species probably due to the narrow phenotypic similarity between these two genera. These disagreement results suggest that biochemical assays might be prone to identification errors and, MALDI-TOF MS therefore may be an alternative to overcome incorrect species-specific identification. Standard microbiological methods for bovine mastitis diagnosis are time consuming, laborious and prone to errors for some bacteria genera. In our study, we showed that MALDI-TOF MS coupled with Biotyper may be an alternative method for large-scale identification of bacteria isolated from milk samples compared to classical microbiological routine protocols.
650 $aBovine mastitis
650 $aCattle
650 $aMass spectrometry
650 $aPathogens
650 $aPeptide mapping
650 $aBacteriose
650 $aBovino
650 $aMamite
653 $aEspectrometria de massas
653 $aIdentificação rápida
653 $aMALDI-TOF MS
653 $aMastite subclínica
653 $aPerfil proteico
653 $aRapid identification
653 $aSubclinical mastitis
700 1 $aGONÇALVES, J. L.
700 1 $aBARREIRO, J. R.
700 1 $aFERREIRA, C. R.
700 1 $aTOMAZI, T.
700 1 $aEBERLIN, M. N.
700 1 $aSANTOS, M. V.
773 $tPesquisa Veterinária Brasileira, Rio de Janeiro$gv. 38, n. 4, p. 586-594, abril 2018
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Registro original: |
Embrapa Unidades Centrais (AI-SEDE) |
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Agroindústria Tropical. Para informações adicionais entre em contato com cnpat.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Agroindústria Tropical. |
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Data corrente: |
09/07/2018 |
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Data da última atualização: |
29/01/2019 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 2 |
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Autoria: |
MELO, A. M. A.; ALEXANDRE; OLIVEIRA, M. R. F.; FURTADO, R. F.; BORGES, M. de F.; RIBEIRO, P. R. V.; BISWAS, A.; CHENG, H. N; ALVES, C. R.; FIGUEIREDO, E. A. T. |
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Afiliação: |
A. M. A. Melo, Federal University of Ceará, Department of Science and Food Technology; D. L. Alexandre, State University of Ceará, Department of Chemistry; M. R. F. Oliveira, State University of Ceará, Department of Chemistry; ROSELAYNE FERRO FURTADO, CNPAT; MARIA DE FATIMA BORGES, CNPAT; PAULO RICELI VASCONCELOS RIBEIRO, CNPAT; A. Biswas, North University Street, USDA Agricultural Research Service, National Center for Agricultural Utilization Research; H. N. Cheng, Southern Regional Research Center, USDA Agricultural Research Service; C. R. Alves, State University of Ceará, Department of Chemistry; E. A. T. Figueiredo, Federal University of Ceará, Department of Science and Food Technology. |
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Título: |
Optimization and characterization of a biosensor assembly for detection of Salmonella Typhimurium. |
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Ano de publicação: |
2018 |
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Fonte/Imprenta: |
Journal of Solid State Electrochemistry, v. 22, n. 5, p. 1321-1330, 2018. |
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Idioma: |
Inglês |
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Palavras-Chave: |
Amperometric; Rapid detection. |
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Thesagro: |
Salmonella. |
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Thesaurus NAL: |
Immunosensors; Pathogens. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 00826naa a2200277 a 4500
001 2093082
005 2019-01-29
008 2018 bl uuuu u00u1 u #d
100 1 $aMELO, A. M. A.
245 $aOptimization and characterization of a biosensor assembly for detection of Salmonella Typhimurium.$h[electronic resource]
260 $c2018
650 $aImmunosensors
650 $aPathogens
650 $aSalmonella
653 $aAmperometric
653 $aRapid detection
700 1 $aALEXANDRE
700 1 $aOLIVEIRA, M. R. F.
700 1 $aFURTADO, R. F.
700 1 $aBORGES, M. de F.
700 1 $aRIBEIRO, P. R. V.
700 1 $aBISWAS, A.
700 1 $aCHENG, H. N
700 1 $aALVES, C. R.
700 1 $aFIGUEIREDO, E. A. T.
773 $tJournal of Solid State Electrochemistry$gv. 22, n. 5, p. 1321-1330, 2018.
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Embrapa Agroindústria Tropical (CNPAT) |
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