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Detecting Mycoplasma bovis by Sybr Green-based real-time quantitative PCR and Loop-Mediated Isothermal Amplification Methods
 

Abeer M Abdalhamed1*, Eman S Ibrahim2, Dina Y H EL-Shafey3 and Gamil S G Zeedan1

 

1Department of Parasitology and Animal Diseases, National Research Centre, Dokki, Egypt

2Department of Microbiology and Immunology, National Research Centre, Dokki, Egypt

3Department of Mycoplasma, Animal Health Research Institute, Agriculture Research Center, Giza, Egypt

*Corresponding author: abeerg2007@yahoo.com

Abstract   

Mycoplasma bovis (M. bovis) infection is causing substantial economic losses to the global dairy industry including Egypt through its role as a major mastitis pathogen in cattle. The present study was aimed to evaluate loop-mediated isothermal amplification methods (LAMP) and real-time quantitative PCR (rt-qPCR) assays for detecting M. bovis in milk samples from cows (n=30) and buffaloes (n=20) with mastitis across different governorates in Egypt between January and March 2023. Both assays were compared to traditional culture and counter-immunoelectrophoresis (CIEP) methods. The results of the culture methods were 16 (32%), CIEP was 10 (20%), PCR was 16 (32%), LAMP was 18 (36%), and rt-qPCR based on Syber Green was 19 (38%), respectively. The sensitivity of rt-qPCR has the highest sensitivity (100%), specificity (91.17%), and accuracy (100%) (kappa coefficient of 0.856). While LAMP has sensitivity 93.75%, specificity 91.17%, and accuracy 98% (kappa coefficient of 0.811). However, the lowest detection rate was found in culture methods and CIEP. Our research effectively utilized LAMP and Sybr Green-based rt-qPCR assays for the rapid detection of M. bovis in bovine milk samples. However, further validation is necessary with a larger sample size.

To Cite This Article: Abdalhamed AM, Ibrahim ES, EL-Shafey DYH and Zeedan GSG, 2024. Detecting Mycoplasma bovis by sybr green-based real-time quantitative PCR and loop-mediated isothermal amplification methods. Pak Vet J. http://dx.doi.org/10.29261/pakvetj/2024.192

 
 
   
 

ISSN 0253-8318 (Print)
ISSN 2074-7764 (Online)



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