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Filippi M, Demoliner M, Gularte JS, de Abreu Goes Pereira VM, da Silva MS, Girardi V, Hansen AW, Spilki FR. Relative frequency of genomic mutations in SARS-CoV-2 recovered from southern Brazilian cases of COVID-19 through the Gamma, Delta and Omicron waves. Infect Genet Evol 2024; 120:105590. [PMID: 38574833 DOI: 10.1016/j.meegid.2024.105590] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/06/2023] [Revised: 03/28/2024] [Accepted: 03/31/2024] [Indexed: 04/06/2024]
Abstract
The presence of different mutations in the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) genome can be related to changes in coronavirus disease (COVID-19) infection. Besides, these viral alterations associated with factors such as massive number of positive cases, vaccination and reinfections can be important in the viral evolution process. As well as, mutations found at low frequencies may have a more neutral action and consequently be less inclined to negative selection, facilitating their spread through the population. Related to that, we aimed to present mutations that are possibly relevant in the process of viral evolution found in 115 SARS-CoV-2 sequences from samples of individuals residing in the metropolitan region of Porto Alegre in the state of Rio Grande do Sul, Brazil. The genome from clinical samples was sequenced using High-Throughput Sequencing (HTS) and analyzed using a workflow to map reads and find variations/SNPs. The samples were separated into 3 groups considering the sample lineage. Of the total number of analyzed sequences, 35 were from the Gamma lineage, 35 from Delta and 45 from Omicron. Amino acid changes present in frequencies lower than 80% of the reads in the sequences were evaluated. 11 common mutations among the samples were found in the Gamma lineage, 1 in the ORF1ab gene, 7 in the S gene, 2 in the ORF6 gene and 1 in the ORF7a gene. While in the Delta lineage, a total of 11 mutations distributed in the ORF1ab, S, ORF7a and N genes, 2, 7, 1 and 1 mutation were found in each gene, respectively. And finally, in the Omicron, 16 mutations were identified, 2 in the ORF1ab gene, 12 in the S gene and 2 in the M gene. In conclusion, we emphasize that genomic surveillance can be a useful tool to assess how mutations play a key role in virus adaptation, and its process of susceptibility to new hosts showing the possible signs of viral evolution.
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Affiliation(s)
- Micheli Filippi
- Laboratório de Microbiologia Molecular, Departamento de Virologia, Universidade Feevale, Novo Hamburgo, Rio Grande do Sul, Brazil.
| | - Meriane Demoliner
- Laboratório de Microbiologia Molecular, Departamento de Virologia, Universidade Feevale, Novo Hamburgo, Rio Grande do Sul, Brazil
| | - Juliana Schons Gularte
- Laboratório de Microbiologia Molecular, Departamento de Virologia, Universidade Feevale, Novo Hamburgo, Rio Grande do Sul, Brazil
| | | | - Mariana Soares da Silva
- Laboratório de Microbiologia Molecular, Departamento de Virologia, Universidade Feevale, Novo Hamburgo, Rio Grande do Sul, Brazil
| | - Viviane Girardi
- Laboratório de Microbiologia Molecular, Departamento de Virologia, Universidade Feevale, Novo Hamburgo, Rio Grande do Sul, Brazil
| | - Alana Witt Hansen
- Laboratório de Microbiologia Molecular, Departamento de Virologia, Universidade Feevale, Novo Hamburgo, Rio Grande do Sul, Brazil
| | - Fernando Rosado Spilki
- Laboratório de Microbiologia Molecular, Departamento de Virologia, Universidade Feevale, Novo Hamburgo, Rio Grande do Sul, Brazil
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Filippi M, Ribeiro Amorim M, Soares da Silva M, Schons Gularte J, Demoliner M, Girardi V, de Abreu Goes Pereira VM, Witt Hansen A, Fleck JD, Frohlich J, de-Paris F, Motta Rodrigues G, Aparecida Risczik Arruda Correa J, Machado Arlindo De Mattos E, Minuto Paiva R, Deutschendorf C, Soares Falcetta F, Proença Modena JL, Rosado Spilki F. Prolonged SARS-CoV-2 Infection and Intra-Patient Viral Evolution in an Immunodeficient Child. Pediatr Infect Dis J 2023; 42:212-217. [PMID: 36728777 PMCID: PMC9935232 DOI: 10.1097/inf.0000000000003782] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 10/30/2022] [Indexed: 02/03/2023]
Abstract
BACKGROUND With the progression of the Coronavirus disease pandemic, the number of mutations in the viral genome has increased, showing the adaptive evolution of severe acute respiratory syndrome coronavirus 2 in humans and intensification in transmissibility. Long-term infections also allow the development of viral diversity. In this study, we report the case of a child with severe combined immu presenting a prolonged severe acute respiratory syndrome coronavirus 2 infection. We aimed to analyze 3 naso-oropharyngeal swab samples collected between August and December 2021 to describe the amino acid changes present in the sequence reads that may have a role in the emergence of new viral variants. METHODS The whole genome from clinical samples was sequenced through high throughput sequencing and analyzed using a workflow to map reads and then find variations/single-nucleotide polymorphisms. In addition, the samples were isolated in cell culture, and a plaque forming units assay was performed, which indicates the presence of viable viral particles. RESULTS The results obtained showed that the virus present in all samples is infectious. Also, there were 20 common mutations among the 3 sequence reads, found in the ORF1ab and ORF10 proteins. As well, a considerable number of uncommon mutations were found. CONCLUSIONS In conclusion, we emphasize that genomic surveillance can be a useful tool to assess possible evolution signals in long-term patients.
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Affiliation(s)
- Micheli Filippi
- From the Laboratório de Microbiologia Molecular, Departamento de Virologia, Universidade Feevale, Novo Hamburgo, Rio Grande do Sul, Brazil
| | - Mariene Ribeiro Amorim
- Laboratório de Vírus Emergentes, Departamento de Genética, Microbiologia e Imunologia, Instituto de Biologia, Universidade Estadual de Campinas, Campinas, São Paulo, Brazil
| | - Mariana Soares da Silva
- From the Laboratório de Microbiologia Molecular, Departamento de Virologia, Universidade Feevale, Novo Hamburgo, Rio Grande do Sul, Brazil
| | - Juliana Schons Gularte
- From the Laboratório de Microbiologia Molecular, Departamento de Virologia, Universidade Feevale, Novo Hamburgo, Rio Grande do Sul, Brazil
| | - Meriane Demoliner
- From the Laboratório de Microbiologia Molecular, Departamento de Virologia, Universidade Feevale, Novo Hamburgo, Rio Grande do Sul, Brazil
| | - Viviane Girardi
- From the Laboratório de Microbiologia Molecular, Departamento de Virologia, Universidade Feevale, Novo Hamburgo, Rio Grande do Sul, Brazil
| | | | - Alana Witt Hansen
- From the Laboratório de Microbiologia Molecular, Departamento de Virologia, Universidade Feevale, Novo Hamburgo, Rio Grande do Sul, Brazil
| | - Juliane Deise. Fleck
- From the Laboratório de Microbiologia Molecular, Departamento de Virologia, Universidade Feevale, Novo Hamburgo, Rio Grande do Sul, Brazil
| | - Júlia Frohlich
- From the Laboratório de Microbiologia Molecular, Departamento de Virologia, Universidade Feevale, Novo Hamburgo, Rio Grande do Sul, Brazil
| | - Fernanda de-Paris
- Hospital de Clínicas de Porto Alegre, Porto Alegre, Rio Grande do Sul, Brazil
| | | | | | | | | | | | | | - José Luiz Proença Modena
- Laboratório de Vírus Emergentes, Departamento de Genética, Microbiologia e Imunologia, Instituto de Biologia, Universidade Estadual de Campinas, Campinas, São Paulo, Brazil
| | - Fernando Rosado Spilki
- From the Laboratório de Microbiologia Molecular, Departamento de Virologia, Universidade Feevale, Novo Hamburgo, Rio Grande do Sul, Brazil
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