| Literature DB >> 29469689 |
Mariela Martínez Gómez1, Filipe Vieira Santos de Abreu2,3, Alexandre Araujo Cunha Dos Santos1, Iasmim Silva de Mello1, Marta Pereira Santos1, Ieda Pereira Ribeiro1, Anielly Ferreira-de-Brito2, Rafaella Moraes de Miranda2, Marcia Gonçalves de Castro2, Mario Sergio Ribeiro4, Roberto da Costa Laterrière Junior5, Shirlei Ferreira Aguiar6, Guilherme Louzada Silva Meira6, Deborah Antunes7, Pedro Henrique Monteiro Torres7, Daiana Mir8, Ana Carolina Paulo Vicente9, Ana Carolina Ramos Guimarães10, Ernesto Raul Caffarena7, Gonzalo Bello8, Ricardo Lourenço-de-Oliveira2, Myrna Cristina Bonaldo1.
Abstract
Southeastern Brazil has been suffering a rapid expansion of a severe sylvatic yellow fever virus (YFV) outbreak since late 2016, which has reached one of the most populated zones in Brazil and South America, heretofore a yellow fever-free zone for more than 70 years. In the current study, we describe the complete genome of 12 YFV samples from mosquitoes, humans and non-human primates from the Brazilian 2017 epidemic. All of the YFV sequences belong to the modern lineage (sub-lineage 1E) of South American genotype I, having been circulating for several months prior to the December 2016 detection. Our data confirm that viral strains associated with the most severe YF epidemic in South America in the last 70 years display unique amino acid substitutions that are mainly located in highly conserved positions in non-structural proteins. Our data also corroborate that YFV has spread southward into Rio de Janeiro state following two main sylvatic dispersion routes that converged at the border of the great metropolitan area comprising nearly 12 million unvaccinated inhabitants. Our original results can help public health authorities to guide the surveillance, prophylaxis and control measures required to face such a severe epidemiological problem. Finally, it will also inspire other workers to further investigate the epidemiological and biological significance of the amino acid polymorphisms detected in the Brazilian 2017 YFV strains.Entities:
Keywords: 2016-2017 Brazilian outbreak; amino acid changes; evolution; genetic diversity; yellow fever virus
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Year: 2018 PMID: 29469689 DOI: 10.1099/jgv.0.001033
Source DB: PubMed Journal: J Gen Virol ISSN: 0022-1317 Impact factor: 3.891