4.6 Article

Development of a Quantitative Loop-Mediated Isothermal Amplification Assay for the Rapid Detection of Novel Goose Parvovirus

期刊

FRONTIERS IN MICROBIOLOGY
卷 8, 期 -, 页码 -

出版社

FRONTIERS MEDIA SA
DOI: 10.3389/fmicb.2017.02472

关键词

novel goose parvovirus; EvaGreen (R) dye; quantitative loop-mediated isothermal amplification (qLAMP); polymerase chain reaction (PCR); VP3 gene

资金

  1. National Key Research and Development Program of China [2017M0500803]
  2. China Agriculture Research System [CARS-42-19]
  3. Science and Technology Development Plan of Shandong Province [2014GNC111023]
  4. Major Agricultural Application Technology Innovation Project of Shandong Province
  5. Funds of Shandong Double Tops Program

向作者/读者索取更多资源

An infectious disease characterized with short bills and protruding tongues has attacked to meat ducks in China since March 2015, which has caused ducks poor growth and enormous economic losses to duck industry of China. It was eventually proved to be caused by parvovirus after pathogen isolation and identification. As the genomic sequence analysis showed, this pathogen shared 90.8-94.6% of nucleotide identity with goose parvovirus (GPV), and it was called duck-origin novel goose parvovirus (NGPV). In this study, a quantitative loop-mediated isothermal amplification (qLAMP) assay was developed for the rapid diagnosis of N-GPV. A set of four specific primers, two inner and two outer, were designed targeting at VP3 gene, which could be completed within 60 min at 65 degrees C in water bath or on a real-time PCR instrument for quantitative analysis. Specificity test of LAMP assay showed that there was no cross-reactivity between N-GPV and other duck pathogens, and the detection limit of qLAMP assay was 1.0 x 10(2) copies/rL. The repeatability of this method was confirmed by inter assay and intra-assay tests with variability ranging from 0.74 to 2.25%. The results have indicated that the gLAMP assay was a simple, rapid, accurate, sensitive, and specific method for detecting N-GPV, especially on field detection.

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