Potential role of vector-mediated natural selection in dengue virus genotype/lineage replacements in two epidemiologically contrasted settings

Autor: Sebastian Lequime, Saraden In, Thavry Hoem, Louis Lambrechts, Nicolas Pocquet, Veasna Duong, Myrielle Dupont-Rouzeyrol, Marine Minier, Valérie Burtet-Sarramegna, Tey Putita Ou, Fabien Aubry, Sébastien Boyer, Olivia O’Connor, Sylvie Russet, Philippe Dussart, Stéphanie Dabo, Dominique Girault
Přispěvatelé: Dengue et Arbovirose (URE-DA), Institut Pasteur de Nouvelle-Calédonie, Réseau International des Instituts Pasteur (RIIP)-Réseau International des Instituts Pasteur (RIIP), Unité de Virologie / Virology Unit [Phnom Penh], Institut Pasteur du Cambodge, Interactions Virus-Insectes - Insect-Virus Interactions (IVI), Institut Pasteur [Paris] (IP)-Centre National de la Recherche Scientifique (CNRS), Entomologie médicale [Nouméa, Nouvelle-Calédonie] (URE-EM), Medical and Veterinary Entomology - Entomologie médciale et vétérinaire [Phnom Penh, Cambodia], Institut de sciences exactes et appliquées (ISEA), Université de la Nouvelle-Calédonie (UNC), This work was funded by the incentive grant, Inter-Pasteurian Concerted Actions (ACIP-06-2016). LL and FA were supported by the European Union’s Horizon 2020 research and innovation programme under ZikaPLAN grant agreement no. 734584 and the French Government’s Investissement d’Avenir program Laboratoire d’Excellence Integrative Biology of Emerging Infectious Diseases (grant ANR-10-LABX-62-IBEID)., We gratefully thank the Clinical Research Department of the Center for Translational Research in Paris for its support in ethics procedures. We thank Laurent Wantiez and Katie Anders for their helpful discussion on statistical approaches. We also thank Louis Cognet for his contribution to samples handling., ANR-10-LABX-0062,IBEID,Integrative Biology of Emerging Infectious Diseases(2010), European Project: 734584,ZikaPLAN, Institut Pasteur [Paris]-Centre National de la Recherche Scientifique (CNRS)
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Zdroj: Emerging microbes & infections
Emerging microbes & infections, 2021, 10 (1), pp.1346-1357. ⟨10.1080/22221751.2021.1944789⟩
Emerging microbes & infections, Earliest : Springer-Nature ; Latest : Taylor & Francis, 2021, pp.1-33. ⟨10.1080/22221751.2021.1944789⟩
Emerging Microbes & Infections
article-version (VoR) Version of Record
ISSN: 2222-1751
DOI: 10.1080/22221751.2021.1944789⟩
Popis: International audience; Dengue virus (DENV) evolutionary dynamics are characterized by frequent DENV genotype/lineage replacements, potentially associated with changes in disease severity and human immunity. New Caledonia (NC) and Cambodia, two contrasted epidemiological settings, respectively experienced a DENV-1 genotype IV to I replacement in 2012 and a DENV-1 genotype I lineage 3 to 4 replacement in 2005-2007, both followed by a massive dengue outbreak. However, their underlying evolutionary drivers have not been elucidated. Here, we tested the hypothesis that these genotype/lineage switches reflected a higher transmission fitness of the replacing DENV genotype/lineage in the mosquito vector using in vivo competition experiments. For this purpose, field-derived Aedes aegypti from NC and Cambodia were orally challenged with epidemiologically relevant pairs of four DENV-1 genotype I and IV strains from NC or four DENV-1 genotype I lineage 3 and 4 strains from Cambodia, respectively. The relative transmission fitness of each DENV-1 genotype/lineage was measured by quantitative RT-PCR for infection, dissemination, and transmission rates. Results showed a clear transmission fitness advantage of the replacing DENV-1 genotype I from NC within the vector. A similar but more subtle pattern was observed for the DENV-1 lineage 4 replacement in Cambodia. Our results support the hypothesis that vector-driven selection contributed to the DENV-1 genotype/lineage replacements in these two contrasted epidemiological settings, and reinforce the idea that natural selection taking place within the mosquito vector plays an important role in DENV short-term evolutionary dynamics.
Databáze: OpenAIRE