Molecular Detection of Salmonella Infection Targeting invA gene in Diarrheic Dogs
Year: 2025
Type: article
Abstract: The experiment was conducted from July to December 2024 at the Veterinary Clinical Complex (VCC), PGIVER, Jaipur, to study the occurrence and molecular detection of Salmonella spp. in clinically suspected dogs using PCR-based diagnostics. Salmonellosis remains a significant public health concern and one of the most common zoonotic diseases globally, affecting both animals and humans. A total of 200 faecal swab samples were collected from diarrheic dogs that were presented for treatment at the veterinary clinical complex, PGIVER, Jaipur, between July and December 2024. Genomic DNA was extracted and subjected to polymerase chain reaction (PCR) targeting the invA gene, a highly conserved and specific marker for Salmonella detection. PCR conditions were optimised using positive and negative controls. Of the 200 samples, 16(8%) yielded the expected 796 bp amplicon, confirming the presence of Salmonella. The findings highlight the utility of PCR as a rapid, sensitive and specific tool for the diagnosis of Salmonella spp. in dogs, particularly in clinical cases where conventional culture techniques may be time-consuming. Early and accurate identification of the pathogen can guide timely therapeutic interventions, reduce the risk of transmission to humans and assist in formulating preventive strategies. Furthermore, the 8% positivity rate observed suggests a notable occurrence of Salmonella in diarrheic dogs, underlining the importance of routine screening in veterinary clinical practice. This study also contributes valuable epidemiological data from the Jaipur region and reinforces the role of molecular diagnostics in veterinary medicine.
Source: UTTAR PRADESH JOURNAL OF ZOOLOGY
Authors: Saksham Mandawat, Rashmi Singh, Dharm Singh Meena, Nirmal Kumar Jeph, Jyoti, Warsha Chaudhary, Priyanka Meena, Vishnu Meena
Language: English
Subfield: Food Science
Domain: Life Sciences
Open Access status: diamond
OpenAlex ID: W4415758024