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Genomic epidemiology of SARS-CoV-2 in Esteio, Rio Grande do Sul, Brazil

BACKGROUND: 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 Seve...

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Autores principales: Franceschi, Vincius Bonetti, Caldana, Gabriel Dickin, de Menezes Mayer, Amanda, Cybis, Gabriela Bettella, Neves, Carla Andretta Moreira, Ferrareze, Patrcia Aline Grhs, Demoliner, Meriane, de Almeida, Paula Rodrigues, Gularte, Juliana Schons, Hansen, Alana Witt, Weber, Matheus Nunes, Fleck, Juliane Deise, Zimerman, Ricardo Ariel, Kmetzsch, Lvia, Spilki, Fernando Rosado, Thompson, Claudia Elizabeth
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8136996/
https://www.ncbi.nlm.nih.gov/pubmed/34016042
http://dx.doi.org/10.1186/s12864-021-07708-w
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author Franceschi, Vincius Bonetti
Caldana, Gabriel Dickin
de Menezes Mayer, Amanda
Cybis, Gabriela Bettella
Neves, Carla Andretta Moreira
Ferrareze, Patrcia Aline Grhs
Demoliner, Meriane
de Almeida, Paula Rodrigues
Gularte, Juliana Schons
Hansen, Alana Witt
Weber, Matheus Nunes
Fleck, Juliane Deise
Zimerman, Ricardo Ariel
Kmetzsch, Lvia
Spilki, Fernando Rosado
Thompson, Claudia Elizabeth
author_facet Franceschi, Vincius Bonetti
Caldana, Gabriel Dickin
de Menezes Mayer, Amanda
Cybis, Gabriela Bettella
Neves, Carla Andretta Moreira
Ferrareze, Patrcia Aline Grhs
Demoliner, Meriane
de Almeida, Paula Rodrigues
Gularte, Juliana Schons
Hansen, Alana Witt
Weber, Matheus Nunes
Fleck, Juliane Deise
Zimerman, Ricardo Ariel
Kmetzsch, Lvia
Spilki, Fernando Rosado
Thompson, Claudia Elizabeth
author_sort Franceschi, Vincius Bonetti
collection PubMed
description BACKGROUND: 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 epidemiologically-related 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12864-021-07708-w.
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spelling pubmed-81369962021-05-21 Genomic epidemiology of SARS-CoV-2 in Esteio, Rio Grande do Sul, Brazil Franceschi, Vincius Bonetti Caldana, Gabriel Dickin de Menezes Mayer, Amanda Cybis, Gabriela Bettella Neves, Carla Andretta Moreira Ferrareze, Patrcia Aline Grhs Demoliner, Meriane de Almeida, Paula Rodrigues Gularte, Juliana Schons Hansen, Alana Witt Weber, Matheus Nunes Fleck, Juliane Deise Zimerman, Ricardo Ariel Kmetzsch, Lvia Spilki, Fernando Rosado Thompson, Claudia Elizabeth BMC Genomics Research BACKGROUND: 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 epidemiologically-related 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12864-021-07708-w. BioMed Central 2021-05-20 /pmc/articles/PMC8136996/ /pubmed/34016042 http://dx.doi.org/10.1186/s12864-021-07708-w Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Franceschi, Vincius Bonetti
Caldana, Gabriel Dickin
de Menezes Mayer, Amanda
Cybis, Gabriela Bettella
Neves, Carla Andretta Moreira
Ferrareze, Patrcia Aline Grhs
Demoliner, Meriane
de Almeida, Paula Rodrigues
Gularte, Juliana Schons
Hansen, Alana Witt
Weber, Matheus Nunes
Fleck, Juliane Deise
Zimerman, Ricardo Ariel
Kmetzsch, Lvia
Spilki, Fernando Rosado
Thompson, Claudia Elizabeth
Genomic epidemiology of SARS-CoV-2 in Esteio, Rio Grande do Sul, Brazil
title Genomic epidemiology of SARS-CoV-2 in Esteio, Rio Grande do Sul, Brazil
title_full Genomic epidemiology of SARS-CoV-2 in Esteio, Rio Grande do Sul, Brazil
title_fullStr Genomic epidemiology of SARS-CoV-2 in Esteio, Rio Grande do Sul, Brazil
title_full_unstemmed Genomic epidemiology of SARS-CoV-2 in Esteio, Rio Grande do Sul, Brazil
title_short Genomic epidemiology of SARS-CoV-2 in Esteio, Rio Grande do Sul, Brazil
title_sort genomic epidemiology of sars-cov-2 in esteio, rio grande do sul, brazil
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8136996/
https://www.ncbi.nlm.nih.gov/pubmed/34016042
http://dx.doi.org/10.1186/s12864-021-07708-w
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