A New High-Throughput Tool to Screen Mosquito-Borne Viruses in Zika Virus Endemic/Epidemic Areas.
Animals
Arbovirus Infections
/ transmission
Arboviruses
/ genetics
Brazil
Cambodia
Culicidae
/ virology
Disease Vectors
Endemic Diseases
Epidemics
Epidemiological Monitoring
Female
French Guiana
Guadeloupe
High-Throughput Screening Assays
/ methods
Humans
Male
Molecular Epidemiology
Mosquito Vectors
/ virology
Pilot Projects
RNA, Viral
/ isolation & purification
Senegal
Suriname
Zika Virus
/ genetics
Zika Virus Infection
/ epidemiology
microfluidic analysis
molecular epidemiology
mosquito-borne viruses
surveillance
Journal
Viruses
ISSN: 1999-4915
Titre abrégé: Viruses
Pays: Switzerland
ID NLM: 101509722
Informations de publication
Date de publication:
27 09 2019
27 09 2019
Historique:
received:
10
09
2019
revised:
24
09
2019
accepted:
25
09
2019
entrez:
2
10
2019
pubmed:
2
10
2019
medline:
22
9
2020
Statut:
epublish
Résumé
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.
Identifiants
pubmed: 31569736
pii: v11100904
doi: 10.3390/v11100904
pmc: PMC6832350
pii:
doi:
Substances chimiques
RNA, Viral
0
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
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