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First detection and molecular characterisation of pseudocowpox virus in a cattle herd in Zambia
First detection and molecular characterisation of pseudocowpox virus in a cattle herd in Zambia
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First detection and molecular characterisation of pseudocowpox virus in a cattle herd in Zambia
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First detection and molecular characterisation of pseudocowpox virus in a cattle herd in Zambia
First detection and molecular characterisation of pseudocowpox virus in a cattle herd in Zambia

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First detection and molecular characterisation of pseudocowpox virus in a cattle herd in Zambia
First detection and molecular characterisation of pseudocowpox virus in a cattle herd in Zambia
Journal Article

First detection and molecular characterisation of pseudocowpox virus in a cattle herd in Zambia

2020
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Overview
Background Pseudocowpox virus (PCPV) of the genus Parapoxvirus in the family Poxviridae causes pseudocowpox in cattle worldwide and presents a zoonotic concern. Most poxviruses produce diseases of similar clinical signs in affected animals, which are impossible to differentiate clinically or by serology. It is, therefore, vital to use molecular assays to rapidly identify the causative agents of poxvirus infections. This study aimed to detect, diagnose, and characterize the causative agent of pox-like skin lesions in a cattle herd in Zambia, initially suspected to be infected with Lumpy Skin Disease virus. Methods We used a High-Resolution Melting (HRM) analysis assay to detect the PCPV genome and sequenced the major envelope protein (B2L gene) for comparative sequence and phylogenetic analysis. Results Our field investigations showed cattle presenting atypical skin lesions and high morbidity within the herd. The laboratory diagnosis, based on the HRM assay revealed PCPV DNA in the samples. Phylogenetic and comparative sequence analyses confirmed PCPV in the samples and revealed genomic differences between samples collected in 2017 and 2018 from the same farm. Conclusion Our work is the first documented report of PCPV in Zambia. It shows the strength of molecular methods to diagnose pox-like infections in cattle and discriminate between diseases causing similar clinical signs. This rapid and accurate diagnosis improves the response time for more accurate veterinary interventions.