A modified BG-Sentinel trap equipped with FTA card as a novel tool for mosquito-borne disease surveillance: a field test for flavivirus detection

Manzi, S. et al. (2023) A modified BG-Sentinel trap equipped with FTA card as a novel tool for mosquito-borne disease surveillance: a field test for flavivirus detection. Scientific Reports(13), 1240. (doi: 10.1038/s41598-023-39857-1) (PMID:37553350) (PMCID:PMC10409816)

Abstract

Early detection of pathogens in vectors is important in preventing the spread of arboviral diseases, providing a timely indicator of pathogen circulation before outbreaks occur. However, entomological surveillance may face logistical constraints, such as maintaining the cold chain, and resource limitations, such as the field and laboratory workload of mosquito processing. We propose an FTA card-based trapping system that aims to simplify both field and laboratory phases of arbovirus surveillance. We modified a BG-Sentinel trap to include a mosquito collection chamber and a sugar feeding source through an FTA card soaked in a long-lasting viscous solution of honey and hydroxy-cellulose hydrogel. The FTA card ensures environmental preservation of nucleic acids, allowing continuous collection and feeding activity of specimens for several days and reducing the effort required for viral detection. We tested the trap prototype during two field seasons (2019 and 2021) in North-eastern Italy and compared it to CDC-CO2 trapping applied in West Nile and Usutu virus regional surveillance. Collections by the BG-FTA approach detected high species diversity, including Culex pipiens, Aedes albopictus, Culex modestus, Anopheles maculipennis sensu lato and Ochlerotatus caspius. When used for two-days sampling, the BG-FTA trap performed equally to CDC also for the WNV-major vector Cx. pipiens. The FTA cards detected both WNV and USUV, confirming the reliability of this novel approach to detect viral circulation in infectious mosquitoes. We recommend this surveillance approach as a particularly useful alternative in multi-target surveillance, for sampling in remote areas and in contexts characterized by high mosquito densities and diversity.

• Item Type: Articles
• Additional Information: This study was supported by: Italian Ministry of Defence, Programma Nazionale per la Ricerca Militare (PNRM) 2017, project “SENSOR”, n. a2016.140 (P.I. Marco Pombi); Royal Society International Exchanges 2021, project “Optimising sampling strategies for surveillance of mosquito-borne diseases”, n. IES\R3\213033 (P.I. Luca Nelli).
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Nelli, Dr Luca
• Authors: Manzi, S., Nelli, L., Fortuna, C., Severini, F., Toma, L., Di Luca, M., Michelutti, A., Bertola, M., Gradoni, F., Toniolo, F., Sgubin, S., Lista, F., Pazienza, M., Montarsi, F., and Pombi, M.
• College/School: College of Medical Veterinary and Life Sciences > School of Biodiversity, One Health & Veterinary Medicine
• Journal Name: Scientific Reports
• Publisher: Nature Research
• ISSN: 2045-2322
• ISSN (Online): 2045-2322
• Copyright Holders: Copyright © 2023 The Authors
• First Published: First published in Scientific Reports 13:1240
• Publisher Policy: Reproduced under a Creative Commons License