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Co-Circulation of Two Independent Clades and Persistence of CHIKV-ECSA Genotype during Epidemic Waves in Rio de Janeiro, Southeast Brazil

The Chikungunya virus infection in Brazil has raised several concerns due to the rapid dissemination of the virus and its association with several clinical complications. Nevertheless, there is limited information about the genomic epidemiology of CHIKV circulating in Brazil from surveillance studie...

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Detalles Bibliográficos
Autores principales: Fabri, Allison Araújo, Rodrigues, Cintia Damasceno dos Santos, dos Santos, Carolina Cardoso, Chalhoub, Flávia Löwen Levy, Sampaio, Simone Alves, Faria, Nieli Rodrigues da Costa, Torres, Maria Celeste, Fonseca, Vagner, Brasil, Patricia, Calvet, Guilherme, Alcantara, Luiz Carlos Junior, de Filippis, Ana Maria Bispo, Giovanetti, Marta, de Bruycker-Nogueira, Fernanda
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7759993/
https://www.ncbi.nlm.nih.gov/pubmed/33255865
http://dx.doi.org/10.3390/pathogens9120984
Descripción
Sumario:The Chikungunya virus infection in Brazil has raised several concerns due to the rapid dissemination of the virus and its association with several clinical complications. Nevertheless, there is limited information about the genomic epidemiology of CHIKV circulating in Brazil from surveillance studies. Thus, to better understand its dispersion dynamics in Rio de Janeiro (RJ), one of the most affected states during the 2016–2019 epidemic waves, we generated 23 near-complete genomes of CHIKV isolates from two main cities located in the metropolitan mesoregion, obtained directly from clinical samples. Our phylogenetic reconstructions suggest the 2019-CHIKV-ECSA epidemic in RJ state was characterized by the co-circulation of multiple clade (clade A and B), highlighting that two independent introduction events of CHIKV-ECSA into RJ state have occurred between 2016–2019, both mediated from the northeastern region. Interestingly, we identified that the two-clade displaying eighteen characteristic amino acids changes among structural and non-structural proteins. Our findings reinforce that genomic data can provide information about virus genetic diversity and transmission dynamics, which might assist in the arbovirus epidemics establishing of an effective surveillance framework.