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Título : The global population of SARS‑CoV‑2 is composed of six major subtypes
Autor : Morais, Ivair José
Polveiro, Richard Costa
Souza, Gabriel Medeiros
Bortolin, Daniel Inserra
Sassaki, Flávio Tetsuo
Lima, Alison Talis Martins
Assunto:: SARS-CoV-2
Covid-19
Fecha de publicación : 26-oct-2020
Editorial : Springer Nature
Citación : MORAIS, Ivair José et al. The global population of SARS-CoV-2 is composed of six major subtypes. Scientific Reports, v. 10, art. n. 18289, 2020. DOI: https://doi.org/10.1038/s41598-020-74050-8. Disponível em: https://www.nature.com/articles/s41598-020-74050-8. Acesso em: 16 dez. 2020.
Abstract: The World Health Organization characterized COVID-19 as a pandemic in March 2020, the second pandemic of the twenty-frst century. Expanding virus populations, such as that of SARS-CoV-2, accumulate a number of narrowly shared polymorphisms, imposing a confounding efect on traditional clustering methods. In this context, approaches that reduce the complexity of the sequence space occupied by the SARS-CoV-2 population are necessary for robust clustering. Here, we propose subdividing the global SARS-CoV-2 population into six well-defned subtypes and 10 poorly represented genotypes named tentative subtypes by focusing on the widely shared polymorphisms in nonstructural (nsp3, nsp4, nsp6, nsp12, nsp13 and nsp14) cistrons and structural (spike and nucleocapsid) and accessory (ORF8) genes. The six subtypes and the additional genotypes showed amino acid replacements that might have phenotypic implications. Notably, three mutations (one of them in the Spike protein) were responsible for the geographical segregation of subtypes. We hypothesize that the virus subtypes detected in this study are records of the early stages of SARSCoV-2 diversifcation that were randomly sampled to compose the virus populations around the world. The genetic structure determined for the SARS-CoV-2 population provides substantial guidelines for maximizing the efectiveness of trials for testing candidate vaccines or drugs.
Licença:: Open Access Tis 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. Te 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/.
DOI: https://doi.org/10.1038/s41598-020-74050-8
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