sgDI-tector: defective interfering viral genome bioinformatics for detection of coronavirus subgenomic RNAs

Coronavirus RNA-dependent RNA polymerases produce subgenomic RNAs (sgRNAs) that encode viral structural and accessory proteins. User-friendly bioinformatic tools to detect and quantify sgRNA production are urgently needed to study the growing number of next-generation sequencing (NGS) data of SARS-CoV-2. We introduced sgDI-tector to identify and quantify sgRNA in SARS-CoV-2 NGS data. sgDI-tector allowed detection of sgRNA without initial knowledge of the transcription-regulatory sequences. We produced NGS data and successfully detected the nested set of sgRNAs with the ranking M > ORF3a > N>ORF6 > ORF7a > ORF8 > S > E>ORF7b. We also compared the level of sgRNA production with other types of viral RNA products such as defective interfering viral genomes.

Automated summary

It is crucial to study the production of sgRNA in the vast amount of NGS data of SARS-CoV-2, and a user-friendly bioinformatic tool called sgDI-tector is introduced to identify and quantify these sgRNAs. Researchers successfully detected the nested set of sgRNAs in SARS-CoV-2 using this tool, and compared their production level with other types of viral RNA products.