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Milk yield and composition in cows with mastitis caused by minor pathogens

Grant number: 11/14284-5
Support type:Regular Research Grants
Duration: November 01, 2011 - October 31, 2013
Field of knowledge:Agronomical Sciences - Veterinary Medicine - Preventive Veterinary Medicine
Principal Investigator:Marcos Veiga dos Santos
Grantee:Marcos Veiga dos Santos
Home Institution: Faculdade de Medicina Veterinária e Zootecnia (FMVZ). Universidade de São Paulo (USP). São Paulo , SP, Brazil

Abstract

Mastitis is the most costly disease in dairy cows because it affects the production and milk quality, and also it reduces the industrial yield of dairy products. Minor pathogens, especially, Corynebacterium spp. and coagulase-negative staphylococci (CNS) have become the most predominant pathogens causing bovine mastitis in Brazil and many other countries. The identification of most species of these bacterial genuses is based on phenotypic characteristics, colony morphology and hemolytic potential, however, these conventional tests are expensive and time consuming. The objectives are to evaluate the effect of subclinical mastitis caused by Corynebacterium spp. and CNS species on milk yield and composition, and somatic cell count (SCC), as well as, the frequency of isolation of these microorganisms in mammary glands of dairy cattle. The aim is also to evaluate matrix-assisted laser desorption/ionization mass spectrometry (MALDI-MS) for identification of bacterial genus. In total, for each bacterial genus, 30 infected quarters milk and 30 healthy contralateral quarters milk (control) will be microbiologically evaluated by the selection from the samples collection of aseptic quarter of 1200 cows. Once isolated, the bacterial species will be genotypically differentiated by the technique of polymerase chain reaction, associated with restriction fragment length polymorphism (PCR-RFLP) for the genus CNS, and by sequencing based on 16S rRNA for the genus Corynebacterium. Later, the result obtained by molecular biology techniques will be compared to MALDI-MS. Once identified, the cows will be submitted to complete milking of individual mammary quarters, the production will be recorded and samples will be collected for analysis of SCC and composition. (AU)

Scientific publications (4)
(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)
GONCALVES, JULIANO LEONEL; TOMAZI, TIAGO; BARREIRO, JULIANA REGINA; BEURON, DANIELE CRISTINE; ARCARI, MARCOS ANDRE; IN LEE, SARAH HWA; DE MAGALHAES RODRIGUES MARTINS, CRISTIAN MARLON; ARAUJO JUNIOR, JOAO PESSOA; DOS SANTOS, MARCOS VEIGA. Effects of bovine subclinical mastitis caused by Corynebacterium spp. on somatic cell count, milk yield and composition by comparing contralateral quarters. VETERINARY JOURNAL, v. 209, p. 87-92, MAR 2016. Web of Science Citations: 14.
TOMAZI, T.; GONALVES, J. L.; BARREIRO, J. R.; ARCARI, M. A.; DOS SANTOS, M. V. Bovine subclinical intramammary infection caused by coagulase-negative staphylococci increases somatic cell count but has no effect on milk yield or composition. JOURNAL OF DAIRY SCIENCE, v. 98, n. 5, p. 3071-3078, MAY 2015. Web of Science Citations: 30.
GONCALVES, JULIANO LEONE; TOMAZI, TIAGO; BARREIRO, JULIANA REGINA; DE CAMPOS BRAGA, PATRICIA APARECIDA; FERREIRA, CHRISTINA RAMIRES; ARAUJO JUNIOR, JOAO PESSOA; EBERLIN, MARCOS NOGUEIRA; DOS SANTOS, MARCOS VEIGA. Identification of Corynebacterium spp. isolated from bovine intramammary infections by matrix-assisted laser desorption ionization-time of flight mass spectrometry. Veterinary Microbiology, v. 173, n. 1-2, p. 147-151, SEP 17 2014. Web of Science Citations: 19.
TOMAZI, TIAGO; GONCALVES, JULIANO LEONEL; BARREIRO, JULIANA REGINA; DE CAMPOS BRAGA, PATRICIA APARECIDA; PRADA E SILVA, LUIS FELIPE; EBERLIN, MARCOS NOGUEIRA; DOS SANTOS, MARCOS VEIGA. Identification of Coagulase-Negative Staphylococci from Bovine Intramammary Infection by Matrix-Assisted Laser Desorption Ionization-Time of Flight Mass Spectrometry. Journal of Clinical Microbiology, v. 52, n. 5, p. 1658-1663, MAY 2014. Web of Science Citations: 33.

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