sgDI-tector: Defective interfering viral genome bioinformatics for detection of coronavirus subgenomic RNAs Journal Article


Authors: Di Gioacchino, A.; Legendre, R.; Rahou, Y.; Najburg, V.; Charneau, P.; Greenbaum, B. D.; Tangy, F.; van der Werf, S.; Cocco, S.; Komarova, A. V.
Article Title: sgDI-tector: Defective interfering viral genome bioinformatics for detection of coronavirus subgenomic RNAs
Abstract: 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. © 2022 Di Gioacchino et al.; Published by Cold Spring Harbor Laboratory Press for the RNA Society.
Keywords: sars-cov-2; defective viral genomes; subgenomic rna; user-friendly bioinformatics
Journal Title: RNA
Volume: 28
Issue: 3
ISSN: 1355-8382
Publisher: Cold Spring Harbor Laboratory Press  
Date Published: 2022-03-01
Start Page: 277
End Page: 289
Language: English
DOI: 10.1261/rna.078969.121
PUBMED: 34937774
PROVIDER: scopus
PMCID: PMC8848934
DOI/URL:
Notes: Article -- Export Date: 1 March 2022 -- Source: Scopus
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