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High rate of mutational events in SARS-CoV-2 genomes across Brazilian geographical regions, February 2020 to June 2021 (preprint)
biorxiv; 2021.
Preprint in English | bioRxiv | ID: ppzbmed-10.1101.2021.07.10.451922
ABSTRACT
Brazil has been considered as one of the emerging epicenters of the coronavirus pandemic in 2021, experiencing over 3,000 daily deaths caused by the virus at the peak of the second wave. In total, the country has more than 19.2 million confirmed cases of Covid-19, including over 533,509 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 openly publicly obtainable on the Global Initiative on Sharing Avian Influenza Data-EpiCoV (GISAID-EpiCoV) platform and generate an index of new mutant by each genome. A total of 16,953 SARS-CoV-2 genomes were obtained and are 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 in 5' and two in 3' UTR). Moreover, 11 were synonymous and 27 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 is reported in Europe given the large number of sequenced genomes, Africa is emerging as a hotspot for new variants. In South America, Brazil and Chile, rates are similar to those found in South Africa and India, giving enough space to generate new viral mutations. 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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Full text: Available Collection: Preprints Database: bioRxiv Main subject: COVID-19 Language: English Year: 2021 Document Type: Preprint

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Full text: Available Collection: Preprints Database: bioRxiv Main subject: COVID-19 Language: English Year: 2021 Document Type: Preprint