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Counting and identification of mastitis causing agents by the polymerase chain reaction

Grant number: 08/05077-3
Support type:Scholarships in Brazil - Doctorate
Effective date (Start): September 01, 2008
Effective date (End): August 31, 2011
Field of knowledge:Agronomical Sciences - Veterinary Medicine - Preventive Veterinary Medicine
Principal Investigator:Nilson Roberti Benites
Grantee:Bruno Garcia Botaro
Home Institution: Faculdade de Medicina Veterinária e Zootecnia (FMVZ). Universidade de São Paulo (USP). São Paulo , SP, Brazil

Abstract

Bovine mastitis is considered the most important disease in dairy cattle worldwide, and determines the major economic losses either to dairy producers and industry, as it negatively impacts milk yield and quality. Most of intramamary infections is caused by bacteria pathogens and, once affected, it might undergo to a chronic end. 80% of mastitis' bacteria causing pathogens are Escherichia coli, Streptococcus uberis, Streptococcus dysgalatiae, Streptococcus agalactiae and Staphylococcus aureus, as so S. agalactiae and S. aureus are contagious, which requires precise identification in order to establish adequate means to control spread of pathogens in livestock and treatment of infected cows. Identification methodology nowadays is based on bacterial plate culturing, followed by phenotypic characterizing, biochemical tests and enzymatic profile. However, main disadvantages rely on false negative tests, which might be a result of the pathogen growth inhibition due to an antibiotic residue in sample; low detection level of pathogens in milk sample or leukocyte presence of clinical cases' samples. Additionally, the suitability of a pathogen detection methodology is dependent on factors such as specificity, sensitivity, cost and analysis time consuming, and its applicability to routine large quantity of milk samples. Though, reasons for carrying the project relies on the need of a low-cost, rapid, specific and sensitive methodology to diagnose subclinical mastitis due to contagious pathogens, S. aureus and S. agalactiae, by quantitative polymerase chain reaction. For this reason, the aims of this study are to establish a methodology routine assay for subclinical mastitis causing pathogens counting and identification (S. aureus and S. agalactiae) from milk sampled on three different ways (aseptically sampled from the affected mammary gland, aseptically sampled from glands, and non-aseptically sampled), comparing to traditional plate culture for pathogen identification. Expected results are on determining specificity and sensitivity of proposed quantitative PCR methodology, which might allow precise decision on means to control spread of pathogens in livestock and treatment of infected cows. (AU)

Scientific publications
(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)
BOTARO, BRUNO GARCIA; CORTINHAS, CRISTINA SIMOES; DIBBERN, ALINE GERATO; PRADA E SILVA, LUIS FELIPE; BENITES, NILSON ROBERTI; DOS SANTOS, MARCOS VEIGA. Staphylococcus aureus intramammary infection affects milk yield and SCC of dairy cows. TROPICAL ANIMAL HEALTH AND PRODUCTION, v. 47, n. 1, p. 61-66, JAN 2015. Web of Science Citations: 9.
BOTARO, B. G.; CORTINHAS, C. S.; MARCO, L. V.; MORENO, J. F. G.; SILVA, L. F. P.; BENITES, N. R.; SANTOS, M. V. Detection and enumeration of Staphylococcus aureus from bovine milk samples by real-time polymerase chain reaction. JOURNAL OF DAIRY SCIENCE, v. 96, n. 11, p. 6955-6964, NOV 2013. Web of Science Citations: 13.
Academic Publications
(References retrieved automatically from State of São Paulo Research Institutions)
BOTARO, Bruno Garcia. Detecção e contagem de Staphylococcus aureus causador da mastite bovina em amostras de leite pelo método de quantificação da reação em cadeia da polimerase em tempo real. 2012. Doctoral Thesis - Universidade de São Paulo (USP). Faculdade de Medicina Veterinária e Zootecnia São Paulo.

Please report errors in scientific publications list by writing to: cdi@fapesp.br.