Literature DB >> 35171035

Genomic Surveillance of SARS-CoV-2 Lineages Indicates Early Circulation of P.1 (Gamma) Variant of Concern in Southern Brazil.

Priscila Lamb Wink1,2,3, Rafaela Ramalho4, Francielle Liz Monteiro1,2,5, Fabiana Caroline Zempulski Volpato1,2,6, Julia Biz Willig1,2, Otávio von Ameln Lovison1,3,4, Alexandre Prehn Zavascki1,6,7, Afonso Luís Barth1,2,3,6, Andreza Francisco Martins1,3,4,8.   

Abstract

The SARS-CoV-2 P.1 lineage emerged in Amazonas (AM), North Brazil and its evolution has been dynamically reported associated with increased transmissibility and/or immune evasion. Here, we evaluated the lineages circulating in 29 cities in Rio Grande do Sul (RS), Southern Brazil between March 2020 and May 2021 and investigated the genetic events associated with the emergence of the P.1. A total of 202 oro/nasopharyngeal SARS-CoV-2 specimens from patients during routine hospital care were submitted to whole-genome sequencing. Phylogenetic and Bayesian Evolutionary Analyses of the P.1 lineage were carried out to determine the relationship between sequences from RS and AM and dated their common ancestor and origin. One hundred six (53%) sequences were assigned as P.1 and most carried the 22 lineage-defining mutations. All the P.1 sequences included other important mutations, such as P314L and R203K/G204R, and revealed a high genetic diversity in the phylogenetic tree. The time-scaled inference suggests that the oldest P.1 sequences from different Brazilian states share a ancestor with those from AM, but the origin of some sequences from RS is unknown. Further, the common ancestor of sequences from RS is dated to mid-June/July 2020, earlier than those previously reported from AM. Our results demonstrate that there is a high degree of genetic diversity among P.1 sequences, which suggests a continuous evolution and community spread of the virus. Although the first P.1 outbreak was reported in AM, the lineage was associated with multiple introductory events and had already been circulating in Southern Brazil prior to November 2020. IMPORTANCE The SARS-CoV-2 P.1 lineage is associated with increased transmissibility and/or immune evasion and presents a dynamic evolution in Brazil. The significance of our research relies in the fact that we evaluated the SARS-CoV-2 lineages circulating in Southern Brazil between March 2020 and May 2021. This evaluation allowed us to detect the genetic events associated with the emergence of the P.1 and its sublineages. This study is important because we were able to establish that the common ancestor of P.1 sequences from Rio Grande do Sul, Southern Brazil, is dated of mid-June/July 2020, earlier than the P.1 sequences previously reported from Amazonas (AM) state. Noteworthy, the high degree of genetic diversity among P.1 sequences found in this study suggests a continuous evolution and community spread of the virus. Moreover, the oldest P.1 sequences from different Brazilian states share a ancestor with those from AM.

Entities:  

Keywords:  COVID-19; P.1 lineage; SARS-CoV-2; gamma; genomic surveillance

Mesh:

Substances:

Year:  2022        PMID: 35171035      PMCID: PMC8849062          DOI: 10.1128/spectrum.01511-21

Source DB:  PubMed          Journal:  Microbiol Spectr        ISSN: 2165-0497


  22 in total

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2.  Genomics and epidemiology of the P.1 SARS-CoV-2 lineage in Manaus, Brazil.

Authors:  Nuno R Faria; Thomas A Mellan; Charles Whittaker; Ingra M Claro; Darlan da S Candido; Swapnil Mishra; Oliver G Pybus; Seth Flaxman; Samir Bhatt; Ester C Sabino; Myuki A E Crispim; Flavia C S Sales; Iwona Hawryluk; John T McCrone; Ruben J G Hulswit; Lucas A M Franco; Mariana S Ramundo; Jaqueline G de Jesus; Pamela S Andrade; Thais M Coletti; Giulia M Ferreira; Camila A M Silva; Erika R Manuli; Rafael H M Pereira; Pedro S Peixoto; Moritz U G Kraemer; Nelson Gaburo; Cecilia da C Camilo; Henrique Hoeltgebaum; William M Souza; Esmenia C Rocha; Leandro M de Souza; Mariana C de Pinho; Leonardo J T Araujo; Frederico S V Malta; Aline B de Lima; Joice do P Silva; Danielle A G Zauli; Alessandro C de S Ferreira; Ricardo P Schnekenberg; Daniel J Laydon; Patrick G T Walker; Hannah M Schlüter; Ana L P Dos Santos; Maria S Vidal; Valentina S Del Caro; Rosinaldo M F Filho; Helem M Dos Santos; Renato S Aguiar; José L Proença-Modena; Bruce Nelson; James A Hay; Mélodie Monod; Xenia Miscouridou; Helen Coupland; Raphael Sonabend; Michaela Vollmer; Axel Gandy; Carlos A Prete; Vitor H Nascimento; Marc A Suchard; Thomas A Bowden; Sergei L K Pond; Chieh-Hsi Wu; Oliver Ratmann; Neil M Ferguson; Christopher Dye; Nick J Loman; Philippe Lemey; Andrew Rambaut; Nelson A Fraiji; Maria do P S S Carvalho
Journal:  Science       Date:  2021-04-14       Impact factor: 47.728

3.  A Fast Likelihood Method to Reconstruct and Visualize Ancestral Scenarios.

Authors:  Sohta A Ishikawa; Anna Zhukova; Wataru Iwasaki; Olivier Gascuel
Journal:  Mol Biol Evol       Date:  2019-09-01       Impact factor: 16.240

4.  BEAST 2.5: An advanced software platform for Bayesian evolutionary analysis.

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Journal:  PLoS Comput Biol       Date:  2019-04-08       Impact factor: 4.475

5.  Interactive Tree Of Life (iTOL) v4: recent updates and new developments.

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6.  Emergence of novel SARS-CoV-2 variants in the Netherlands.

Authors:  Aysun Urhan; Thomas Abeel
Journal:  Sci Rep       Date:  2021-03-23       Impact factor: 4.379

7.  Detection of SARS-CoV-2 lineage P.1 in patients from a region with exponentially increasing hospitalisation rate, February 2021, Rio Grande do Sul, Southern Brazil.

Authors:  Andreza Francisco Martins; Alexandre Prehn Zavascki; Priscila Lamb Wink; Fabiana Caroline Zempulski Volpato; Francielle Liz Monteiro; Clévia Rosset; Fernanda De-Paris; Álvaro Krüger Ramos; Afonso Luís Barth
Journal:  Euro Surveill       Date:  2021-03

8.  Novel SARS-CoV-2 Variant in Travelers from Brazil to Japan.

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Journal:  Emerg Infect Dis       Date:  2021-02-10       Impact factor: 6.883

9.  Antibody evasion by the P.1 strain of SARS-CoV-2.

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Journal:  Cell       Date:  2021-03-30       Impact factor: 41.582

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  1 in total

1.  A simulation of geographic distribution for the emergence of consequential SARS-CoV-2 variant lineages.

Authors:  Tetsuya Akaishi; Tadashi Ishii
Journal:  Sci Rep       Date:  2022-06-15       Impact factor: 4.996

  1 in total

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