Skip to main content
ARS Home » Research » Research Project #443800

Research Project: Southeastern USA Arbovirus Landscape

Location: FOREIGN ARTHROPOD BORNE ANIMAL DISEASE RESEARCH

Project Number: 3022-32000-062-007-S
Project Type: Non-Assistance Cooperative Agreement

Start Date: Sep 1, 2023
End Date: Aug 30, 2025

Objective:
ARS and the Cooperator are interested in collaborating on understanding the status of arborviruses circulating in Southeastern USA. The objective of this agreement is to develop and/or apply new ARS technology to detect and characterize arboviruses present in the Southeastern USA with an emphasis on the Mobile, AL region that could pose emerging animal disease threats and develop a baseline of virus population variability. The area to be investigated will include boundary areas between agricultural areas and regional ports.

Approach:
At least three targeted mosquito collection sites will be selected to represent different geographical areas. The areas where mosquitoes will be sampled will be on the boundary between rural and sylvatic habitats. Mosquitoes will be sorted by species and deployable point-of-need tools will be developed to quickly identify and characterize viruses. The cooperative team will develop a panel of family specific RT-qPCR assays for alphaviruses, bunyaviruses, flaviviruses, orbiviruses and rhabdoviruses. Where scientifically reasonable and technically possible multiplex assays will be developed. For example: a mosquito-borne assay might include only the first three virus families. The initial development and validation will be done using standard laboratory real-time thermocyclers. Once developed the assay will be adapted by ARS and equivalency validated on the field-based system (eg. BioMeme). Positive samples will be subjected to further characterization by next generation sequencing technology. Briefly, a virus capture isolation procedure will be developed to enhance the viral target RNA in the sample. Unbiased metagenomic sequencing will be used to generate sequence data using the Minion, Illumina Miseq and NextSeq200 platforms. If the unbiased approach does not produce sufficient viral sequence reads then family specific targeted sequencing approaches will be developed. The initial study was conducted with commercial software (such as CLC Genomics Workbench, Genetic). The data will also be subjected to more sophisticated computational virus population genetic analysis that is available through another ARS cooperative project and the NBAF high performance computer cluster. The data generated in this project will be used to provide baseline arbovirus prevalence that could emerge and threaten animal and public health. In addition, virus population variability will be used to inform risk models in future studies.