Scientific Reports (Feb 2021)

SARS-CoV-2 genomic surveillance in Rondônia, Brazilian Western Amazon

  • Luan Felipo Botelho-Souza,
  • Felipe Souza Nogueira-Lima,
  • Tárcio Peixoto Roca,
  • Felipe Gomes Naveca,
  • Alcione de Oliveria dos Santos,
  • Adriana Cristina Salvador Maia,
  • Cicileia Correia da Silva,
  • Aline Linhares Ferreira de Melo Mendonça,
  • Celina Aparecida Bertoni Lugtenburg,
  • Camila Flávia Gomes Azzi,
  • Juliana Loca Furtado Fontes,
  • Suelen Cavalcante,
  • Rita de Cássia Pontello Rampazzo,
  • Caio Henrique Nemeth Santos,
  • Alice Paula Di Sabatino Guimarães,
  • Fernando Rodrigues Máximo,
  • Juan Miguel Villalobos-Salcedo,
  • Deusilene Souza Vieira

DOI
https://doi.org/10.1038/s41598-021-83203-2
Journal volume & issue
Vol. 11, no. 1
pp. 1 – 12

Abstract

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Abstract SARS-CoV-2 has spread rapidly around the world, with Brazil currently considered an epicenter of the pandemic. The Northern region has the second highest incidence coefficient, as well as the third highest mortality rate in the country. This study aimed to investigate information about the evolutionary history of epidemic spread and genetic aspects of strains isolated on the Western Amazon, in the State of Rondônia, Brazil. It was possible to detect a total of 22 mutations. Some of these alterations may possibly be related to effects on transmissibility, the fidelity of RNA replication, the ability of cancer patients to respond to infection, beyond a mutation that emerged after the introduction of SARS-CoV-2 in Rondônia. At least two events of introduction were detected, corresponding to the B.1 and B.1.1 European lineages. An introduction was observed possibly through Argentina, where strains originated that circulated in the Minas Gerais and Ceará Brazilian states, prior to Rondônia (B.1.), as well as through the Minas Gerais state and the Federal District, which gave rise to strains that spread to Rondônia, from the capital to more rural parts of the state (B.1.1.). The findings show the need to monitor the genetic epidemiology of COVID-19, in order to surveil the virus’s evolution, dispersion and diversity.