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Epidemiological significance of dengue virus genetic variation in mosquito infection dynamics

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 mo...

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Autores principales: Fontaine, Albin, Lequime, Sebastian, Moltini-Conclois, Isabelle, Jiolle, Davy, Leparc-Goffart, Isabelle, Reiner, Robert Charles, Lambrechts, Louis
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6059494/
https://www.ncbi.nlm.nih.gov/pubmed/30005085
http://dx.doi.org/10.1371/journal.ppat.1007187
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author Fontaine, Albin
Lequime, Sebastian
Moltini-Conclois, Isabelle
Jiolle, Davy
Leparc-Goffart, Isabelle
Reiner, Robert Charles
Lambrechts, Louis
author_facet Fontaine, Albin
Lequime, Sebastian
Moltini-Conclois, Isabelle
Jiolle, Davy
Leparc-Goffart, Isabelle
Reiner, Robert Charles
Lambrechts, Louis
author_sort Fontaine, Albin
collection PubMed
description 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 field-derived 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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spelling pubmed-60594942018-08-09 Epidemiological significance of dengue virus genetic variation in mosquito infection dynamics Fontaine, Albin Lequime, Sebastian Moltini-Conclois, Isabelle Jiolle, Davy Leparc-Goffart, Isabelle Reiner, Robert Charles Lambrechts, Louis PLoS Pathog Research Article 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 field-derived 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. Public Library of Science 2018-07-13 /pmc/articles/PMC6059494/ /pubmed/30005085 http://dx.doi.org/10.1371/journal.ppat.1007187 Text en © 2018 Fontaine et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Fontaine, Albin
Lequime, Sebastian
Moltini-Conclois, Isabelle
Jiolle, Davy
Leparc-Goffart, Isabelle
Reiner, Robert Charles
Lambrechts, Louis
Epidemiological significance of dengue virus genetic variation in mosquito infection dynamics
title Epidemiological significance of dengue virus genetic variation in mosquito infection dynamics
title_full Epidemiological significance of dengue virus genetic variation in mosquito infection dynamics
title_fullStr Epidemiological significance of dengue virus genetic variation in mosquito infection dynamics
title_full_unstemmed Epidemiological significance of dengue virus genetic variation in mosquito infection dynamics
title_short Epidemiological significance of dengue virus genetic variation in mosquito infection dynamics
title_sort epidemiological significance of dengue virus genetic variation in mosquito infection dynamics
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6059494/
https://www.ncbi.nlm.nih.gov/pubmed/30005085
http://dx.doi.org/10.1371/journal.ppat.1007187
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