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Correlation between serological tests and identification of Brucella melitensis in goats.


Abd Jalil, Mohd Syazuwan and Saad, Mohd Zamri and Shamsudin, Shahirudin (2010) Correlation between serological tests and identification of Brucella melitensis in goats. In: 5th Seminar on Veterinary Sciences, 5-8 Jan. 2010, Serdang, Selangor. .


Brucellosis is a specific contagious disease of humans and animals caused by bacteria of the Brucella group, and caprine brucellosis is primarily caused by Brucella melitensis. In Malaysia, serological tests such as Rose Bengal Plate Test (RBPT) and Complement Fixation Test (CFT) are most widely used in diagnosis of brucellosis in small ruminants, while isolation and Polymerase Chain Reaction (PCR) provide valuable information regarding the presence of Brucella organism. This research was performed to evaluate and determine the correlation between serological tests (RBPT and CFT) and presence of Brucella melitensis in seropositive goats. Ninety-nine goat sera were collected from five goat farms and subjected to RBPT. Out of ninety-nine goat sera tested, 11(11%) were positive. They were then subjected to CFT. All RBPT seropositive goats were then killed and tissues such as supramammary lymph nodes, uterus, mammary glands and spleen were taken for isolation and identification using culture and PCR technique. The results showed that there was no correlation between the serological tests and the presence of B.melitensis in goats. However, there was strong correlation between RBPT and CFT (r = 0.83, P< 0.01). Therefore, neither RBPT nor CFT is suitable to be used as confirmatory diagnostic tool for control of caprine brucellosis.

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Additional Metadata

Item Type: Conference or Workshop Item (Paper)
Divisions: Faculty of Veterinary Medicine
Keywords: Brucella melitensis; Serology; Isolation and identification; PCR.
Depositing User: Azizan Arshad
Date Deposited: 08 May 2014 03:07
Last Modified: 06 Nov 2014 10:02
URI: http://psasir.upm.edu.my/id/eprint/30922
Statistic Details: View Download Statistic

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