Peer-reviewed veterinary case report
How to quickly diagnose viral infections in geese?
By Chen, Zongyan et al.·Published in Journal of virological methods·2013·Shanghai Veterinary Research Institute, China·View original on PubMed →
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Original publication title: Rapid diagnosis of goose viral infections by multiplex PCR.
Plain-English summary
Researchers have developed a new test that can quickly identify four important viruses that affect geese: goose parvovirus, Newcastle disease virus, goose herpesvirus, and goose adenovirus. These viruses can cause similar health issues, making it hard to tell them apart using traditional methods. In a study with 76 geese, the new test successfully detected single infections and some cases where two viruses were present at the same time. The results from this new test matched those from an older method, showing that it could be a reliable option for diagnosing these viral infections in geese. This new testing method is expected to be helpful for regular health checks and tracking virus outbreaks in geese.
Abstract
Goose parvovirus (GPV), newcastle disease virus (NDV), goose herpesvirus (GHV) and goose adenovirus (GAV) are considered collectively to be four of the most important and widespread viruses of geese. Because all of these viruses cause similar pathological changes, histological differentiation among these viruses is difficult. A reliable, specific and sensitive multiplex PCR (mPCR) assay was developed for the combined detection of GPV, NDV, GHV and GAV in clinical samples of geese. Using the mPCR technique, single infections with GPV (28/76; 36.8%), NDV (9/76; 11.8%), GHV (3/76; 3.9%) and GAV (12/76; 15.8%) were identified in the samples; co-infections with GAV and either GPV or NDV (31.6%; 24/76) were also identified with this approach. The results for all of the samples tested were the same in both the uPCR and mPCR systems. The mPCR approach is considered to be useful for routine molecular diagnosis and epidemiological applications in geese.
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Search related cases →Original publication on PubMed: https://pubmed.ncbi.nlm.nih.gov/23518397/