Molecular approaches to the analysis of deformed wing virus replication and pathogenesis in the honey bee, Apis mellifera View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2009-12

AUTHORS

Humberto F Boncristiani, Gennaro Di Prisco, Jeffery S Pettis, Michele Hamilton, Yan Ping Chen

ABSTRACT

BACKGROUND: For years, the understanding of the pathogenetic mechanisms that underlie honey bee viral diseases has been severely hindered because of the lack of a cell culture system for virus propagation. As a result, it is very imperative to develop new methods that would permit the in vitro pathogenesis study of honey bee viruses. The identification of virus replication is an important step towards the understanding of the pathogenesis process of viruses in their respective hosts. In the present study, we developed a strand-specific RT-PCR-based method for analysis of Deformed Wing Virus (DWV) replication in honey bees and in honey bee parasitic mites, Varroa Destructor. RESULTS: The results shows that the method developed in our study allows reliable identification of the virus replication and solves the problem of falsely-primed cDNA amplifications that commonly exists in the current system. Using TaqMan real-time quantitative RT-PCR incorporated with biotinylated primers and magnetic beads purification step, we characterized the replication and tissue tropism of DWV infection in honey bees. We provide evidence for DWV replication in the tissues of wings, head, thorax, legs, hemolymph, and gut of honey bees and also in Varroa mites. CONCLUSION: The strategy reported in the present study forms a model system for studying bee virus replication, pathogenesis and immunity. This study should be a significant contribution to the goal of achieving a better understanding of virus pathogenesis in honey bees and to the design of appropriate control measures for bee populations at risk to virus infections. More... »

PAGES

221

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/1743-422x-6-221

DOI

http://dx.doi.org/10.1186/1743-422x-6-221

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1012316056

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/20003360


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