Sara Moutailler, Lena Yousfi, Laurence Mousson, Elodie Devillers, Marie Vazeille, Anubis Vega-Rúa, Yvon Perrin, Frédéric Jourdain, Fabrice Chandre, Arnaud Cannet, Sandrine Chantilly, Johana Restrepo, Amandine Guidez, Isabelle Dusfour, Filipe Vieira Santos de Abreu, Taissa Pereira dos Santos, Davy Jiolle, Tessa M. Visser, Constantianus J. M. Koenraadt, Merril Wongsokarijo, Mawlouth Diallo, Diawo Diallo, Alioune Gaye, Sébastien Boyer, Veasna Duong, Géraldine Piorkowski, Christophe Paupy, Ricardo Lourenco de Oliveira, Xavier de Lamballerie and Anna-Bella Failloux
Mosquitoes are vectors of arboviruses affecting animal and human health. Arboviruses circulate primarily within an enzootic cycle and recurrent spillovers contribute to the emergence of human-adapted viruses able to initiate an urban cycle involving anthropophilic mosquitoes. The increasing volume of travel and trade offers multiple opportunities for arbovirus introduction in new regions. This scenario has been exemplified recently with the Zika pandemic. To incriminate a mosquito as vector of a pathogen, several criteria are required such as the detection of natural infections in mosquitoes. In this study, we used a high-throughput chip based on the BioMark™ Dynamic arrays system capable of detecting 64 arboviruses in a single experiment. A total of 17,958 mosquitoes collected in Zika-endemic/epidemic countries (Brazil, French Guiana, Guadeloupe, Suriname, Senegal, and Cambodia) were analyzed. Here we show that this new tool can detect endemic and epidemic viruses in different mosquito species in an epidemic context. Thus, this fast and low-cost method can be suggested as a novel epidemiological surveillance tool to identify circulating arboviruses.