Contributors: Vecteurs - Infections tropicales et méditerranéennes (VITROME); Institut de Recherche pour le Développement (IRD)-Aix Marseille Université (AMU)-Institut de Recherche Biomédicale des Armées Brétigny-sur-Orge (IRBA); Interactions Virus-Insectes - Insect-Virus Interactions (IVI); Institut Pasteur Paris (IP)-Centre National de la Recherche Scientifique (CNRS); Institut de Recherche Biomédicale des Armées Antenne Marseille (IRBA); Génomique évolutive, modélisation et santé (GEMS); Rega Institute for Medical Research Leuven, België; Catholic University of Leuven = Katholieke Universiteit Leuven (KU Leuven); Biorobotics Lab (University of Washington); University of Washington Seattle; This work was supported by Agence Nationale de la Recherche (grants ANR-16-CE35-0004-01 and ANR-17-ERC2-0016-01), the French Government’s Investissement d’Avenir program Laboratoire d’Excellence Integrative Biology of Emerging Infectious Diseases (grant ANR-10-LABX-62-IBEID), the City of Paris Emergence(s) program in Biomedical Research and U.S. National Institutes of Health grant 1P01AI098670-01A1. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.; ANR-17-ERC2-0016,GxG,Base génétique de la spécificité génotype-génotype dans l'interaction naturelle entre un virus et son insecte vecteur(2017); ANR-10-LABX-0062,IBEID,Integrative Biology of Emerging Infectious Diseases(2010)
نبذة مختصرة : International audience ; The kinetics of arthropod-borne virus (arbovirus) transmission by their vectors have long been recognized as a powerful determinant of arbovirus epidemiology. The time interval between virus acquisition and transmission by the vector, termed extrinsic incubation period (EIP), combines with vector mortality rate and vector competence to determine the proportion of infected vectors that eventually become infectious. However, the dynamic nature of this process, and the amount of natural variation in transmission kinetics among arbovirus strains, are poorly documented empirically and are rarely considered in epidemiological models. Here, we combine newly generated empirical measurements in vivo and outbreak simulations in silico to assess the epidemiological significance of genetic variation in dengue virus (DENV) transmission kinetics by Aedes aegypti mosquitoes. We found significant variation in the dynamics of systemic mosquito infection, a proxy for EIP, among eight fieldderived DENV isolates representing the worldwide diversity of recently circulating type 1 strains. Using a stochastic agent-based model to compute time-dependent individual transmission probabilities, we predict that the observed variation in systemic mosquito infection kinetics may drive significant differences in the probability of dengue outbreak and the number of human infections. Our results demonstrate that infection dynamics in mosquitoes vary among wild-type DENV isolates and that this variation potentially affects the risk and magnitude of dengue outbreaks. Our quantitative assessment of DENV genetic variation in transmission kinetics contributes to improve our understanding of heterogeneities in arbovirus epidemiological dynamics.
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