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The epitranscriptome of Vero cells infected with SARS-CoV-2 assessed by direct RNA sequencing reveals m6A pattern changes and DRACH motif biases in viral and cellular RNAs.
Campos, João H C; Alves, Gustavo V; Maricato, Juliana T; Braconi, Carla T; Antoneli, Fernando M; Janini, Luiz Mario R; Briones, Marcelo R S.
  • Campos JHC; Center for Medical Bioinformatics, Escola Paulista de Medicina, UNIFESP, São Paulo, Brazil.
  • Alves GV; Center for Medical Bioinformatics, Escola Paulista de Medicina, UNIFESP, São Paulo, Brazil.
  • Maricato JT; Department of Microbiology, Immunology and Parasitology, Escola Paulista de Medicina, UNIFESP, São Paulo, Brazil.
  • Braconi CT; Department of Microbiology, Immunology and Parasitology, Escola Paulista de Medicina, UNIFESP, São Paulo, Brazil.
  • Antoneli FM; Center for Medical Bioinformatics, Escola Paulista de Medicina, UNIFESP, São Paulo, Brazil.
  • Janini LMR; Department of Microbiology, Immunology and Parasitology, Escola Paulista de Medicina, UNIFESP, São Paulo, Brazil.
  • Briones MRS; Center for Medical Bioinformatics, Escola Paulista de Medicina, UNIFESP, São Paulo, Brazil.
Front Cell Infect Microbiol ; 12: 906578, 2022.
Article in English | MEDLINE | ID: covidwho-2022651
ABSTRACT
The epitranscriptomics of the SARS-CoV-2 infected cell reveals its response to viral replication. Among various types of RNA nucleotide modifications, the m6A is the most common and is involved in several crucial processes of RNA intracellular location, maturation, half-life and translatability. This epitranscriptome contains a mixture of viral RNAs and cellular transcripts. In a previous study we presented the analysis of the SARS-CoV-2 RNA m6A methylation based on direct RNA sequencing and characterized DRACH motif mutations in different viral lineages. Here we present the analysis of the m6A transcript methylation of Vero cells (derived from African Green Monkeys) and Calu-3 cells (human) upon infection by SARS-CoV-2 using direct RNA sequencing data. Analysis of these data by nonparametric statistics and two computational methods (m6anet and EpiNano) show that m6A levels are higher in RNAs of infected cells. Functional enrichment analysis reveals increased m6A methylation of transcripts involved in translation, peptide and amine metabolism. This analysis allowed the identification of differentially methylated transcripts and m6A unique sites in the infected cell transcripts. Results here presented indicate that the cell response to viral infection not only changes the levels of mRNAs, as previously shown, but also its epitranscriptional pattern. Also, transcriptome-wide analysis shows strong nucleotide biases in DRACH motifs of cellular transcripts, both in Vero and Calu-3 cells, which use the signature GGACU whereas in viral RNAs the signature is GAACU. We hypothesize that the differences of DRACH motif biases, might force the convergent evolution of the viral genome resulting in better adaptation to target sequence preferences of writer, reader and eraser enzymes. To our knowledge, this is the first report on m6A epitranscriptome of the SARS-CoV-2 infected Vero cells by direct RNA sequencing, which is the sensu stricto RNA-seq.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: SARS-CoV-2 / COVID-19 Type of study: Prognostic study / Systematic review/Meta Analysis Limits: Animals / Humans Language: English Journal: Front Cell Infect Microbiol Year: 2022 Document Type: Article Affiliation country: Fcimb.2022.906578

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Full text: Available Collection: International databases Database: MEDLINE Main subject: SARS-CoV-2 / COVID-19 Type of study: Prognostic study / Systematic review/Meta Analysis Limits: Animals / Humans Language: English Journal: Front Cell Infect Microbiol Year: 2022 Document Type: Article Affiliation country: Fcimb.2022.906578