Acta Scientific Veterinary Sciences (ISSN: 2582-3183)

Research Article Volume 4 Issue 2

Use of Primer Design to Detect the Glycoprotein C Gene of Canine Herpes Virus by Polymerase Chain Reaction

Marco Vargas, María Antonieta Jara and Carlos Navarro*

Department of Medicina Preventiva Animal, Universidad de Chile, Chile

*Corresponding Author:Carlos Navarro, Department of Medicina Preventiva Animal, Universidad de Chile, Chile.

Received: February 04, 2022; Published: February 21, 2022

Abstract

The fundamental difference between a virus and microorganisms lies in the way they generate progeny and some viruses destroy the cell membrane, a phenomenon called cytolysis. The herpes virus has this cytolytic capacity and in veterinary medicine, several important herpes viruses have been described, among which is the Canine Herpes Virus type 1 (CaHV-1) and this study contributed both to the genomic characterization of a national isolate of the CaHV-1 virus -called RP5- as well as to small animal veterinary medicine with a specific, sensitive, and fast diagnostic method result. For this, detection of the CaHV-1 glycoprotein C gene was performed by Polymerase Chain Reaction using a pair of primers designed in silico. Using a temperature gradient thermocycler, the alignment temperature (55ºC) was established by the clear and unequivocal observation of a DNA fragment of approximately 200 bp. These fragments were sequenced and a percentage of nucleotide identity (NIP > 94%) was established with respect to the official GenBank data and indicates that the amplified fragment corresponds to the gC gene fragment of CaHV-1. Thus, this methodology constitutes another technique of choice for the detection of CaHV-1 in Small Animal Medicine.

Keywords: Canine Herpes Virus; Glycoprotein C; Diagnosis; In Silico

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Citation

Citation: Carlos Navarro., et al. “Use of Primer Design to Detect the Glycoprotein C Gene of Canine Herpes Virus by Polymerase Chain Reaction". Acta Scientific Veterinary Sciences 4.3 (2022): 94-101.

Copyright

Copyright: © 2022 Carlos Navarro., et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.




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