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The Matrix-Assisted Laser Desorption Ionization-Time of Flight Mass Spectrometry (MALDI-TOF MS) identification versus biochemical tests: a study with enterobacteria from a dairy cattle environment.
Rodrigues, Naiara Miranda Bento; Bronzato, Greiciane França; Santiago, Gabrielli Stefaninni; Botelho, Larissa Alvarenga Batista; Moreira, Beatriz Meurer; Coelho, Irene da Silva; Souza, Miliane Moreira Soares de; Coelho, Shana de Mattos de Oliveira.
Affiliation
  • Rodrigues NM; Universidade Federal Rural do Rio de Janeiro, Departamento de Microbiologia e Imunologia Veterinária, Seropédica, RJ, Brazil.
  • Bronzato GF; Universidade Federal Rural do Rio de Janeiro, Departamento de Microbiologia e Imunologia Veterinária, Seropédica, RJ, Brazil.
  • Santiago GS; Universidade Federal Rural do Rio de Janeiro, Departamento de Microbiologia e Imunologia Veterinária, Seropédica, RJ, Brazil.
  • Botelho LA; Laboratório de Investigação em Microbiologia Médica - LIMM, Instituto de Microbiologia Paulo de Goés, Rio de Janeiro, RJ, Brazil.
  • Moreira BM; Laboratório de Investigação em Microbiologia Médica - LIMM, Instituto de Microbiologia Paulo de Goés, Rio de Janeiro, RJ, Brazil.
  • Coelho ID; Universidade Federal Rural do Rio de Janeiro, Departamento de Microbiologia e Imunologia Veterinária, Seropédica, RJ, Brazil.
  • Souza MM; Universidade Federal Rural do Rio de Janeiro, Departamento de Microbiologia e Imunologia Veterinária, Seropédica, RJ, Brazil.
  • Coelho SM; Universidade Federal Rural do Rio de Janeiro, Departamento de Microbiologia e Imunologia Veterinária, Seropédica, RJ, Brazil. Electronic address: shana@ufrrj.br.
Braz J Microbiol ; 48(1): 132-138, 2017.
Article in En | MEDLINE | ID: mdl-27818092
Mastitis adversely affects milk production and in general cows do not regain their full production levels post recovery, leading to considerable economic losses. Moreover the percentage decrease in milk production depends on the specific pathogen that caused the infection and enterobacteria are responsible for this greater reduction. Phenotypic tests are among the currently available methods used worldwide to identify enterobacteria; however they tend to misdiagnose the species despite the multiple tests carried out. On the other hand The Matrix-Assisted Laser Desorption Ionization-Time of Flight Mass Spectrometry (MALDI-TOF MS) technique has been attracting attention for its precise identification of several microorganisms at species level. In the current study, 183 enterobacteria were detected in milk (n=47) and fecal samples (n=94) from cows, and samples from water (n=23) and milk lines (n=19). All these samples were collected from a farm in Rio de Janeiro with the specific purpose of presenting the MALDI-TOF MS technique as an efficient methodology to identify Enterobacteriaceae from bovine environments. The MALDI-TOF MS technique results matched the biochemical test results in 92.9% (170/183) of the enterobacteria species and the gyrB sequencing confirmed 100% of the proteomic technique results. The amino acid decarboxylation test made the most misidentifications and Enterobacter spp. was the most misidentified genus (76.9%, 10/13). These results aim to clarify the current biochemical errors in enterobacteria identification, considering isolates from a bovine environment, and show the importance for more careful readings of phenotypic tests which are often used in veterinary microbiology laboratories.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization / Enterobacteriaceae Type of study: Diagnostic_studies / Prognostic_studies Limits: Animals Language: En Journal: Braz J Microbiol Year: 2017 Document type: Article Affiliation country: Brazil Country of publication: Brazil

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization / Enterobacteriaceae Type of study: Diagnostic_studies / Prognostic_studies Limits: Animals Language: En Journal: Braz J Microbiol Year: 2017 Document type: Article Affiliation country: Brazil Country of publication: Brazil