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Detection of Infectious Virus from Field-collected Mosquitoes by Vero Cell Culture Assay
Published on: June 9, 2011
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Accelerating targeted mosquito control efforts through mobile West Nile virus detection
Zsaklin Varga1,2, Rubén Bueno-Marí3,4, José Risueño Iranzo3
1National Laboratory of Virology, Szentágothai Research Centre, University of Pécs, Pécs, Hungary.
Parasites & Vectors
|March 19, 2024
Summary
A new rapid diagnostic system for West Nile virus in mosquitoes was developed and tested in field conditions. This system enables quick identification of infected mosquitoes, aiding prompt mosquito control actions and preventing human cases.
Area of Science:
- Medical Entomology
- Molecular Diagnostics
- Public Health
Background:
- Mosquito-borne diseases pose significant public health risks, necessitating effective control strategies.
- Current mosquito control relies on integrated approaches, highlighting the need for rapid diagnostics.
- Developing mobile diagnostic tools is crucial for timely intervention against mosquito-borne pathogens.
Purpose of the Study:
- To develop and evaluate a rapid diagnostic system for West Nile virus detection in mosquitoes under field conditions.
- To assess the system's applicability in supporting real-time mosquito surveillance and control efforts.
Main Methods:
- Adult mosquito traps were deployed as part of routine monitoring.
- Portable quantitative reverse transcription PCR (qRT-PCR) was used for field-based West Nile virus RNA detection within 3-4 hours.
- Positive samples underwent confirmatory RT-PCR or next-generation sequencing (NGS) for viral genome characterization.
Main Results:
- A total of 356 mosquito individuals across 7 species were analyzed in 54 pools.
- Two pools, containing Culex pipiens and Anopheles atroparvus, tested positive for West Nile virus.
- Complete genomes of West Nile virus and Bagaza virus were obtained through sequencing.
Conclusions:
- Rapid identification of infected mosquitoes is vital for effective, rapid-response vector control, preventing human infections.
- The developed framework offers a real-time surveillance system adaptable for other pathogens and scenarios.
- This study demonstrates an early warning system to enhance rapid-response mosquito control actions.

