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. 2024 May 13;61(3):818-823.
doi: 10.1093/jme/tjae016.

Noninvasive detection of Zika virus in mosquito excreta sampled from wild mosquito populations in French Guiana

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Noninvasive detection of Zika virus in mosquito excreta sampled from wild mosquito populations in French Guiana

Amandine Guidez et al. J Med Entomol. .

Abstract

Arboviruses can be difficult to detect in the field due to relatively low prevalence in mosquito populations. The discovery that infected mosquitoes can release viruses in both their saliva and excreta gave rise to low-cost methods for the detection of arboviruses during entomological surveillance. We implemented both saliva and excreta-based entomological surveillance during the emergence of Zika virus (ZIKV) in French Guiana in 2016 by trapping mosquitoes around households of symptomatic cases with confirmed ZIKV infection. ZIKV was detected in mosquito excreta and not in mosquito saliva in 1 trap collection out of 85 (1.2%). One female Ae. aegypti L. (Diptera: Culicidae) was found with a ZIKV systemic infection in the corresponding trap. The lag time between symptom onset in a ZIKV-infected individual living near the trap site and ZIKV detection in this mosquito was 1 wk. These results highlight the potential of detection in excreta from trapped mosquitoes as a sensitive and cost-effective method to non invasively detect arbovirus circulation.

Keywords: Zika virus; arbovirus surveillance; detection; mosquito excreta.

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Figures

Graphical Abstract
Graphical Abstract
Fig. 1
Fig. 1
Schematic of the modified BG-Sentinel trap (Biogents). The trap was modified to incorporate a lodging for trapped mosquitoes with permanent access to colored honey impregnated in an FTA filter paper card to collect saliva, and a UFP placed at the bottom of the device to collect mosquito excreta.
Fig. 2
Fig. 2
Study map. Modified BG-Sentinel traps (Biogents) localization in 10 distinct households of confirmed Zika virus cases on the French Guiana coastline. The map was created using the free and open source QGIS (Geographic Information System using satellite imagery) from the Environmental Systems Research Institute.

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