Implementación del protocolo de PCR en tiempo real para el diagnóstico del virus del moquillo canino

Abstract

Canine distemper virus is one of the most serious viral diseases affecting domestic dogs and other carnivorous species, with high morbidity and mortality rates. The implementation of a molecular diagnostic protocol using real-time PCR (qPCR) is an essential tool for the accurate and rapid detection of this pathogen, allowing for strengthening strategies for disease control and prevention. The research focuses on the adaptation of a published protocol for the detection of canine distemper virus (CDV) by real-time PCR (qPCR). First, specific primers were chosen, ensuring their compatibility with the adapted protocol. After that, work was done with biological samples, from which viral RNA was extracted for the synthesis of cDNA. It was shown that qPCR is more effective for identifying the virus, surpassing conventional methods, allowing for improved response capacity to epidemiological outbreaks, contributing to the control of infectious diseases. The protocol not only allows for the accurate identification of active infections at different stages of the disease, but can also detect low viral loads, which is crucial for identifying asymptomatic animals that may act as reservoirs. Furthermore, the results obtained in this research can be used in epidemiological studies, vaccine effectiveness analyses, and in the evaluation of health management programs in shelters and breeding facilities. By implementing this method, it is expected to contribute to diagnostic capabilities. By providing highly sensitive detection of canine distemper virus (CDV), this approach will allow for more accurate monitoring of the virus. By implementing advanced diagnostics that improve early detection of the virus and optimize outbreak management in vulnerable populations, reducing the spread of canine distemper virus (CDV) reduces the risks associated with virus transmission.