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Genomic Epidemiology of SARS-CoV-2 in Tocantins State and the Diffusion of P.1.7 and AY.99.2 Lineages in Brazil.

Ueric José Borges de SouzaRaíssa Nunes Dos SantosFernando Lucas de MeloAline BelmokJucimária Dantas GalvãoTereza Cristina Vieira de RezendeFranciano Dias Pereira CardosoRogério Fernandes CarvalhoMonike da Silva OliveiraJose Carlos Ribeiro JuniorEvgeni Evgeniev GabevEster Cerdeira SabinoClarice Weis ArnsBergmann Morais RibeiroFernando Rosado SpilkiFabrício Souza Campos
Published in: Viruses (2022)
Tocantins is a state in the cross-section between the Central-West, North and Northeast regions of Brazilian territory; it is a gathering point for travelers and transportation from the whole country. In this study, 9493 genome sequences, including 241 local SARS-CoV-2 samples (collected from 21 December 2020, to 16 December 2021, and sequenced in the MinION platform) were analyzed with the following aims: (i) identify the relative prevalence of SARS-CoV-2 lineages in the state of Tocantins; (ii) analyze them phylogenetically against global SARS-CoV-2 sequences; and (iii) hypothesize the viral dispersal routes of the two most abundant lineages found in our study using phylogenetic and phylogeographic approaches. The performed analysis demonstrated that the majority of the strains sequenced during the period belong to the Gamma P.1.7 (32.4%) lineage, followed by Delta AY.99.2 (27.8%), with the first detection of VOC Omicron. As expected, there was mainly a dispersion of P.1.7 from the state of São Paulo to Tocantins, with evidence of secondary spreads from Tocantins to Goiás, Mato Grosso, Amapá, and Pará. Rio de Janeiro was found to be the source of AY.99.2 and from then, multiple cluster transmission was observed across Brazilian states, especially São Paulo, Paraiba, Federal District, and Tocantins. These data show the importance of trade routes as pathways for the transportation of the virus from Southeast to Northern Brazil.
Keyphrases
  • sars cov
  • respiratory syndrome coronavirus
  • risk factors
  • escherichia coli
  • high throughput
  • copy number
  • quantum dots