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dc.contributor.authorFranceschi, Vinicius Bonettipt_BR
dc.contributor.authorCaldana, Gabriel Dickinpt_BR
dc.contributor.authorMayer, Amanda de Menezespt_BR
dc.contributor.authorCybis, Gabriela Bettellapt_BR
dc.contributor.authorNeves, Carla Lucia Andretta Moreirapt_BR
dc.contributor.authorFerrareze, Patricia Aline Gröhspt_BR
dc.contributor.authorDemoliner, Merianept_BR
dc.contributor.authorAlmeida, Paula Rodrigues dept_BR
dc.contributor.authorGularte, Juliana Schonspt_BR
dc.contributor.authorHansen, Alana Wittpt_BR
dc.contributor.authorWeber, Matheus Nunespt_BR
dc.contributor.authorFleck, Juliane Deisept_BR
dc.contributor.authorZimerman, Ricardo Arielpt_BR
dc.contributor.authorSilva, Lívia Kmetzsch Rosa ept_BR
dc.contributor.authorSpilki, Fernando Rosadopt_BR
dc.contributor.authorThompson, Claudia Elizabethpt_BR
dc.date.accessioned2021-07-17T04:44:49Zpt_BR
dc.date.issued2021pt_BR
dc.identifier.issn1471-2164pt_BR
dc.identifier.urihttp://hdl.handle.net/10183/224134pt_BR
dc.description.abstractBackground: Brazil is the third country most affected by Coronavirus disease-2019 (COVID-19), but viral evolution in municipality resolution is still poorly understood in Brazil and it is crucial to understand the epidemiology of viral spread. We aimed to track molecular evolution and spread of Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in Esteio (Southern Brazil) using phylogenetics and phylodynamics inferences from 21 new genomes in global and regional context. Importantly, the case fatality rate (CFR) in Esteio (3.26%) is slightly higher compared to the Rio Grande do Sul (RS) state (2.56%) and the entire Brazil (2.74%). Results: We provided a comprehensive view of mutations from a representative sampling from May to October 2020, highlighting two frequent mutations in spike glycoprotein (D614G and V1176F), an emergent mutation (E484K) in spike Receptor Binding Domain (RBD) characteristic of the B.1.351 and P.1 lineages, and the adjacent replacement of 2 amino acids in Nucleocapsid phosphoprotein (R203K and G204R). E484K was found in two genomes from mid-October, which is the earliest description of this mutation in Southern Brazil. Lineages containing this substitution must be subject of intense surveillance due to its association with immune evasion. We also found two epidemiologicallyrelated clusters, including one from patients of the same neighborhood. Phylogenetics and phylodynamics analysis demonstrates multiple introductions of the Brazilian most prevalent lineages (B.1.1.33 and B.1.1.248) and the establishment of Brazilian lineages ignited from the Southeast to other Brazilian regions. Conclusions: Our data show the value of correlating clinical, epidemiological and genomic information for the understanding of viral evolution and its spatial distribution over time. This is of paramount importance to better inform policy making strategies to fight COVID-19.en
dc.format.mimetypeapplication/pdfpt_BR
dc.language.isoengpt_BR
dc.relation.ispartofBMC Genomics. London. Vol. 22 (2021), Art. 371pt_BR
dc.rightsOpen Accessen
dc.subjectCOVID-19 (Doença)pt_BR
dc.subjectSevere acute respiratory syndrome coronavirus 2en
dc.subjectInfectious diseasesen
dc.subjectDoenças infecciosaspt_BR
dc.subjectCoronaviruspt_BR
dc.subjectSequencingen
dc.subjectMolecular epidemiologyen
dc.subjectEpidemiologia molecularpt_BR
dc.titleGenomic epidemiology of SARS-CoV-2 in Esteio, Rio Grande do Sul, Brazilpt_BR
dc.typeArtigo de periódicopt_BR
dc.identifier.nrb001126345pt_BR
dc.type.originEstrangeiropt_BR


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