High Rate of Mutational Events in SARS-CoV-2 Genomes across Brazilian Geographical Regions, February 2020 to June 2021

被引:13
作者
de Souza, Ueric Jose Borges [1 ]
dos Santos, Raissa Nunes [1 ]
Campos, Fabricio Souza [1 ]
Lourenco, Karine Lima [2 ]
da Fonseca, Flavio Guimaraes [2 ]
Spilki, Fernando Rosado [3 ]
机构
[1] Univ Fed Tocantins, Lab Bioinformat & Biotecnol, Campus Gurupi, BR-77402970 Gurupi, Brazil
[2] Univ Fed Minas Gerais, Lab Virol Basica & Aplicada, Dept Microbiol, Inst Ciencias Biol, BR-31270901 Belo Horizonte, MG, Brazil
[3] Univ Feevale, Lab Saude Unica, Feevale Techpk,Ave Edgar Hoffmeister 600, BR-93700000 Campo Bom, Brazil
[4] Univ Feevale, Lab Microbiol Mol, Rodovia ERS-239,2755 Predio Vermelho,Piso 1, BR-93525075 Vila Nova, Novo Hamburgo, Brazil
来源
VIRUSES-BASEL | 2021年 / 13卷 / 09期
关键词
SARS-CoV-2; variants hotspot; genome analysis; viral evolution; mathematical correlation; FUNCTIONAL-ANALYSIS; EVOLUTION;
D O I
10.3390/v13091806
中图分类号
Q93 [微生物学];
学科分类号
071005 ; 100705 ;
摘要
Brazil was considered one of the emerging epicenters of the coronavirus pandemic in 2021, experiencing over 3000 daily deaths caused by the virus at the peak of the second wave. In total, the country had more than 20.8 million confirmed cases of COVID-19, including over 582,764 fatalities. A set of emerging variants arose in the country, some of them posing new challenges for COVID-19 control. The goal of this study was to describe mutational events across samples from Brazilian SARS-CoV-2 sequences publicly obtainable on Global Initiative on Sharing Avian Influenza Data-EpiCoV (GISAID-EpiCoV) platform and to generate indexes of new mutations by each genome. A total of 16,953 SARS-CoV-2 genomes were obtained, which were not proportionally representative of the five Brazilian geographical regions. A comparative sequence analysis was conducted to identify common mutations located at 42 positions of the genome (38 were in coding regions, whereas two were in 5 ' and two in 3 ' UTR). Moreover, 11 were synonymous variants, 27 were missense variants, and more than 44.4% were located in the spike gene. Across the total of single nucleotide variations (SNVs) identified, 32 were found in genomes obtained from all five Brazilian regions. While a high genomic diversity has been reported in Europe given the large number of sequenced genomes, Africa has demonstrated high potential for new variants. In South America, Brazil, and Chile, rates have been similar to those found in South Africa and India, providing enough "space" for new mutations to arise. Genomic surveillance is the central key to identifying the emerging variants of SARS-CoV-2 in Brazil and has shown that the country is one of the "hotspots" in the generation of new variants.
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页数:13
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