In silicoidentification of conserved cis-acting RNA elements in the SARS-CoV-2 genome

Abstract

Aim: The aim of this study was to computationally predict conserved RNA sequences and structures known as cis-acting RNA elements (CREs) in the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) genome. Materials & methods: Bioinformatics tools were used to analyze and predict CREs by obtaining viral sequences from available databases. Results: Computational analysis revealed the presence of RNA stem-loop structures within the 3′ end of the ORF1ab region analogous to previously identified SARS-CoV genomic packaging signals. Alignment-based RNA secondary structure predictions of the 5′ end of the SARS-CoV-2 genome also identified conserved CREs. Conclusion: These CREs may be potential vaccine and/or antiviral therapeutic targets; however, further studies are warranted to confirm their roles in the SARS-CoV-2 life cycle.