Abstract
BackgroundGoose parvovirus (GPV) is a Dependovirus associated with latent infection and mortality in geese. Currently, in a worldwide scale, GPV severely affects geese production. The objective of this study is to develop a loop-mediated isothermal amplification (LAMP) method for the sensitive, rapid, and inexpensive detection of GPV in the field.ResultsA set of six specific primers was designed by targeting the GPV VP3 DNA. With Bst DNA polymerase large fragment, the target DNA could be amplified at 65°C as early as 20 min of incubation in a simple water bath. A positive reaction was identified through the detection of the LAMP product by color change visible to the naked eye. The detection limit of the assay was 28 copies/μl of plasmid pVP3, and with equal sensitivity and specificity to fluorescent quantitative real-time PCR (FQ-PCR).ConclusionsThe high sensitivity, specificity, and simplicity, as well as the high throughput, make this method suitable for specific detection of GPV infection in both field conditions and laboratory settings. The utilization of complicated equipment and conduct of technical training on the GPV LAMP were not necessary.
Highlights
Goose parvovirus (GPV) is a Dependovirus associated with latent infection and mortality in geese
GPV has been formally classified as a member of the genus Dependovirus under the family, Parvoviridae [2]
Several detection methods have been developed for identifying GPV, such as agar-gel diffusion precipitin test, virus neutralization (VN) assay, enzyme-linked immunosorbent assay (ELISA) [5], qualitative PCR [7,8], and fluorescent quantitative real-time PCR (FQ-PCR)
Summary
Goose parvovirus (GPV) is a Dependovirus associated with latent infection and mortality in geese. GPV has been formally classified as a member of the genus Dependovirus under the family, Parvoviridae [2]. It was first described as a clinical entity by Fang [3]. All are effective and accurate in detecting the virus infection in laboratory settings, but they require the use of expensive equipment and are laborious and time-consuming. These methods are considered unfavorable for use on a large-scale basis. A more preferred detection method would be one that is speedy and sensitive, and simple and economical during practical applications [10]
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