Nucleic Acids ResearchGeneticsPeer-reviewed journal article
Genome-wide mapping of therapeutically-relevant SARS-CoV-2 RNA structures
Ilaria ManfredoniaiD, Chandran NithiniD, Almudena Ponce-SalvatierraiD, Pritha GhoshiD, Tomasz K. WireckiiD, Tycho MarinusiD, Natacha S. OgandoiD, Eric J. SnijderiD, Martijn J. van HemertiD, Janusz Marek BujnickiiD, Danny IncarnatoiD
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Abstract
SARS-CoV-2 is a betacoronavirus with a linear single-stranded, positive-sense RNA genome of [~]30 kb, whose outbreak caused the still ongoing COVID-19 pandemic. The ability of coronaviruses to rapidly evolve, adapt, and cross species barriers makes the development of effective and durable therapeutic strategies a challenging and urgent need. As for other RNA viruses, genomic RNA structures are expected to play crucial roles in several steps of the coronavirus replication cycle. Despite this, only a handful of functionally conserved structural elements within coronavirus RNA genomes have been identified to date. Here, we performed RNA structure probing by SHAPE-MaP to obtain a single-base resolution secondary structure map of the full SARS-CoV-2 coronavirus genome. The SHAPE-MaP probing data recapitulate the previously described coronavirus RNA elements (5' UTR, ribosomal frameshifting element, and 3' UTR), and reveal new structures. Secondary structure-restrained 3D modeling of highly-structured regions across the SARS-CoV-2 genome allowed for the identification of several putative druggable pockets. Furthermore, [~]8% of the identified structure elements show significant covariation among SARS-CoV-2 and other coronaviruses, hinting at their functionally-conserved role. In addition, we identify a set of persistently single-stranded regions having high sequence conservation, suitable for the development of antisense oligonucleotide therapeutics. Collectively, our work lays the foundation for the development of innovative RNA-targeted therapeutic strategies to fight SARS-related infections.
- assay: long-read sequencing
- research focus: drug response / drug discovery
- research focus: gene regulatory network inference
- approach: experimental assay
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