Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Review
. 2023:1:100008.
doi: 10.1016/j.amolm.2023.100008. Epub 2023 Apr 16.

sgRNAs: A SARS-CoV-2 emerging issue

Affiliations
Review

sgRNAs: A SARS-CoV-2 emerging issue

Antonio Mori et al. Asp Mol Med. 2023.

Abstract

Like for other coronaviruses, SARS-CoV-2 gene expression strategy is based on the synthesis of a nested set of subgenomic mRNA species (sgRNAs). These sgRNA are synthesized using a "discontinuous transcription" mechanism that relies on template switching at Transcription Regulatory Sequences (TRS). Both canonical (c-sgRNA) and non-canonical (nc-sgRNA, less numerous) subgenomic RNA species can be produced. Currently, sgRNAs are investigated on the basis of sequence data obtained through next generation sequencing (NGS), and bioinformatic tools are crucial for their identification, characterization and quantification. To date, few software have been developed to this aim, whose reliability and applicability to all the available NGS platforms need to be established, to build confidence on the information resulting from such tools. In fact, these information may be crucial for the in depth elucidation of viral expression strategy, particularly in respect of the significance of nc-sgRNAs, and for the possible use of sgRNAs as potential markers of virus replicative activity in infected patients.

Keywords: Bioinformatics; Coronavirus; Next-generation sequencing; SARS-CoV2; Viruses; sgRNAs.

PubMed Disclaimer

Conflict of interest statement

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Figures

Fig. 1
Fig. 1
Transcription mechanisms that lead to the generation of sgRNAs in the replication cycle of coronaviruses. A: the structure of the SARS-CoV-2 genome, along with the location of Transcript Regulatory Sequences (TRS). B: the discontinuous transcription of ORF N, where the replicase-transcriptase complex (RTC) generates a negative RNA molecule until a TRS-B is reached. At this point, the RNA template forms a hairpin structure and the RTC switches to the TRS-L template and proceeds until the 5′ UTR, omitting the transcription of the hairpin content. As a result, the neo-synthesized antisense RNA sequences lack parts of the positive RNA template, resulting in sgRNAs. C: the various types of discontinuous viral genome transcription (negative RNA synthesis), including those caused by concomitant involvement of TRS-L and TRS-B (TRS-L – TRS-B interactions, red lines), by only TRS-L involvement (TRS-B independent, green lines), and by neither of them (non-TRS dependent, purple lines). The TRS-B independent transcription generates the complete negative RNA copies of the genomic RNA template that are used to produce the genomic RNA progeny. (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)

Similar articles

Cited by

References

    1. Alexandersen S., Chamings A., Bhatta T.R. SARS-CoV-2 genomic and subgenomic RNAs in diagnostic samples are not an indicator of active replication. Nat. Commun. 2020;11(1):1–13. doi: 10.1038/s41467-020-19883-7. 11 (2020) - DOI - PMC - PubMed
    1. Alonso S., Izeta A., Sola I., Enjuanes L. Transcription regulatory sequences and mRNA expression levels in the coronavirus transmissible gastroenteritis virus. J. Virol. 2002;76:1293–1308. doi: 10.1128/JVI.76.3.1293-1308.2002. - DOI - PMC - PubMed
    1. Bouhaddou M., Memon D., Meyer B., White K.M., Rezelj V.V., Correa Marrero M., Polacco B.J., Melnyk J.E., Ulferts S., Kaake R.M., Batra J., Richards A.L., Stevenson E., Gordon D.E., Rojc A., Obernier K., Fabius J.M., Soucheray M., Miorin L., Moreno E., Koh C., Tran Q.D., Hardy A., Robinot R., Vallet T., Nilsson-Payant B.E., Hernandez-Armenta C., Dunham A., Weigang S., Knerr J., Modak M., Quintero D., Zhou Y., Dugourd A., Valdeolivas A., Patil T., Li Q., Hüttenhain R., Cakir M., Muralidharan M., Kim M., Jang G., Tutuncuoglu B., Hiatt J., Guo J.Z., Xu J., Bouhaddou S., Mathy C.J.P., Gaulton A., Manners E.J., Félix E., Shi Y., Goff M., Lim J.K., McBride T., O'Neal M.C., Cai Y., Chang J.C.J., Broadhurst D.J., Klippsten S., De wit E., Leach A.R., Kortemme T., Shoichet B., Ott M., Saez-Rodriguez J., tenOever B.R., Mullins R.D., Fischer E.R., Kochs G., Grosse R., García-Sastre A., Vignuzzi M., Johnson J.R., Shokat K.M., Swaney D.L., Beltrao P., Krogan N.J. The global phosphorylation landscape of SARS-CoV-2 infection. Cell. 2020;182:685–712.e19. doi: 10.1016/J.CELL.2020.06.034/ATTACHMENT/2523A3EE-6406-4D91-B592-8E7E65AB0F71/MMC8.XLSX. - DOI - PMC - PubMed
    1. Chang J.J.Y., Rawlinson D., Pitt M.E., Taiaroa G., Gleeson J., Zhou C., Mordant F.L., De Paoli-Iseppi R., Caly L., Purcell D.F.J., Stinear T.P., Londrigan S.L., Clark M.B., Williamson D.A., Subbarao K., Coin L.J.M. Transcriptional and epi-transcriptional dynamics of SARS-CoV-2 during cellular infection. Cell Rep. 2021;35 doi: 10.1016/J.CELREP.2021.109108. - DOI - PMC - PubMed
    1. Chen Z., Ng R.W.Y., Lui G., Ling L., Chow C., Yeung A.C.M., Boon S.S., Wang M.H., Chan K.C.C., Chan R.W.Y., Hui D.S.C., Chan P.K.S. Profiling of SARS-CoV-2 subgenomic RNAs in clinical specimens. Microbiol. Spectr. 2022;10 doi: 10.1128/SPECTRUM.00182-22. - DOI - PMC - PubMed