The coding capacity of SARS-CoV-2
Open accessPublished version of a preprint
Abstract
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is the cause of the ongoing coronavirus disease 2019 (COVID-19) pandemic 1. To understand the pathogenicity and antigenic potential of SARS-CoV-2 and to develop therapeutic tools, it is essential to profile the full repertoire of its expressed proteins. The current map of SARS-CoV-2 coding capacity is based on computational predictions and relies on homology with other coronaviruses. As the protein complement varies among coronaviruses, especially in regard to the variety of accessory proteins, it is crucial to characterize the specific range of SARS-CoV-2 proteins in an unbiased and open-ended manner. Here, using a suite of ribosome-profiling techniques 2-4, we present a high-resolution map of coding regions in the SARS-CoV-2 genome, which enables us to accurately quantify the expression of canonical viral open reading frames (ORFs) and to identify 23 unannotated viral ORFs. These ORFs include upstream ORFs that are likely to have a regulatory role, several in-frame internal ORFs within existing ORFs, resulting in N-terminally truncated products, as well as internal out-of-frame ORFs, which generate novel polypeptides. We further show that viral mRNAs are not translated more efficiently than host mRNAs; instead, virus translation dominates host translation because of the high levels of viral transcripts. Our work provides a resource that will form the basis of future functional studies.
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There is little evidence that ORF10 and ORF14 have functional relevance.
“However, there is little evidence of the functional relevance of ORF10 and ORF14 26,27 .”
From Spread of a SARS-CoV-2 variant through Europe in the summer of 2020 (2021) · cites this paper as [26]
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Cites
STAR: ultrafast universal RNA-seq aligner
Dobin, A., Davis, C. A., Schlesinger, F., Drenkow, J., Zaleski, C., Jha, S., Batut, P., Chaisson, M., & Gingeras, T. R. (2013) · Bioinformatics · doi:10.1093/bioinformatics/bts635 · Cited by 51,709 · see citing works
A novel coronavirus from patients with pneumonia in China, 2019
Zhu, N., Zhang, D., Wang, W., Li, X., Yang, B., Song, J., Zhao, X., Huang, B., Shi, W., Lu, R., et al. (2020) · New England Journal of Medicine · doi:10.1056/nejmoa2001017 · Cited by 28,244 · see citing works
Ultrafast and memory-efficient alignment of short DNA sequences to the human genome.
Langmead, B., Trapnell, C., Pop, M., & Salzberg, S. L. (2009) · Genome Biology · doi:10.1186/gb-2009-10-3-r25 · Cited by 21,849 · see citing works
SignalP 4.0: discriminating signal peptides from transmembrane regions
Petersen, T. N., Brunak, S., von Heijne, G., & Nielsen, H. (2011) · Nature Methods · doi:10.1038/nmeth.1701 · Cited by 8,847 · see citing works
A SARS-CoV-2 protein interaction map reveals targets for drug repurposing
Gordon, D. E., Jang, G. M., Bouhaddou, M., Xu, J., Obernier, K., White, K. M., O’Meara, M. J., Rezelj, V. V., Guo, J. Z., Swaney, D. L., et al. (2020) · Nature · doi:10.1038/s41586-020-2286-9 · Cited by 4,405 · see citing works
Nextstrain: real-time tracking of pathogen evolutionPreprint
Hadfield, J., Megill, C., Bell, S. M., et al. (2017) · bioRxiv · doi:10.1101/224048 · Cited by 3,172 · see citing works
Nextstrain: real-time tracking of pathogen evolution
Hadfield, J., Megill, C., Bell, S. M., Huddleston, J., Potter, B., Callender, C., Sagulenko, P., Bedford, T., & Neher, R. A. (2018) · Bioinformatics · doi:10.1093/bioinformatics/bty407 · Cited by 3,154 · see citing works
A Combined Transmembrane Topology and Signal Peptide Prediction Method
Käll, L., Krogh, A., & Sonnhammer, E. L. L. (2004) · Journal of Molecular Biology · doi:10.1016/j.jmb.2004.03.016 · Cited by 2,474 · see citing works
Genome Composition and Divergence of the Novel Coronavirus (2019-nCoV) Originating in China
Wu, A., Peng, Y., Huang, B., Ding, X. L., Wang, X., Niu, P., Meng, J., Zhu, Z., Zhang, Z., Wang, J., et al. (2020) · Cell Host & Microbe · doi:10.1016/j.chom.2020.02.001 · Cited by 2,363 · see citing works
Ingolia, N. T., Lareau, L. F., & Weissman, J. S. (2011) · Cell · doi:10.1016/j.cell.2011.10.002 · Cited by 2,187 · see citing works
The Architecture of SARS-CoV-2 Transcriptome
Kim, D., Lee, J.-Y., Yang, J.-S., Kim, J. W., Kim, V. N., & Chang, H. (2020) · Cell · doi:10.1016/j.cell.2020.04.011 · Cited by 2,123 · see citing works
Proteomics of SARS-CoV-2-infected host cells reveals therapy targets
Bojkova, D., Klann, K., Koch, B., Widera, M., Krause, D., Ciesek, S., Cinatl, J., & Münch, C. (2020) · Nature · doi:10.1038/s41586-020-2332-7 · Cited by 1,010 · see citing works
Ribosome Profiling Reveals Pervasive Translation Outside of Annotated Protein-Coding Genes
Ingolia, N. T., Brar, G. A., Stern‐Ginossar, N., Harris, M. S., Talross, G. J. S., Jackson, S. E., Wills, M. R., & Weissman, J. S. (2014) · Cell Reports · doi:10.1016/j.celrep.2014.07.045 · Cited by 644 · see citing works
Self-citationContinuous and Discontinuous RNA Synthesis in Coronaviruses
Sola, I., Almazán, F., Zúñiga, S., & Enjuanes, L. (2015) · Annual Review of Virology · doi:10.1146/annurev-virology-100114-055218 · Cited by 643 · see citing works
Decoding Human Cytomegalovirus
Stern-Ginossar, N., Weisburd, B., Michalski, A., Le, V. T. K., Hein, M. Y., Huang, S.-X., Ma, M., Shen, B., Qian, S.-B., Hengel, H., et al. (2012) · Science · doi:10.1126/science.1227919 · Cited by 589 · see citing works
Self-citationDavidson, A. D., Williamson, M. K., Lewis, S., Shoemark, D., Carroll, M. W., Heesom, K. J., Zambon, M., Ellis, J., Lewis, P. A., Hiscox, J. A., et al. (2020) · Genome Medicine · doi:10.1186/s13073-020-00763-0 · Cited by 457 · see citing works
A two-pronged strategy to suppress host protein synthesis by SARS coronavirus Nsp1 protein
Kamitani, W., Huang, C., Narayanan, K., Lokugamage, K. G., & Makino, S. (2009) · Nature Structural & Molecular Biology · doi:10.1038/nsmb.1680 · Cited by 410 · see citing works
Huang, C., Lokugamage, K. G., Rozovics, J. M., Narayanan, K., Semler, B. L., & Makino, S. (2011) · PLoS Pathogens · doi:10.1371/journal.ppat.1002433 · Cited by 353 · see citing works
Fields, A. P., Rodriguez, E. H., Jovanović, M., Stern‐Ginossar, N., Haas, B. J., Mertins, P., Raychowdhury, R., Hacohen, N., Carr, S. A., Ingolia, N. T., et al. (2015) · Molecular Cell · doi:10.1016/j.molcel.2015.11.013 · Cited by 208 · see citing works
Self-citationImproved Ribo-seq enables identification of cryptic translation events
Erhard, F., Halenius, A., Zimmermann, C., L’Hernault, A., Kowalewski, D. J., Weekes, M. P., Stevanović, S., Zimmer, R., & Dölken, L. (2018) · Nature Methods · doi:10.1038/nmeth.4631 · Cited by 208 · see citing works
High-Resolution Analysis of Coronavirus Gene Expression by RNA Sequencing and Ribosome Profiling
Irigoyen, N., Firth, A. E., Jones, J. D., Chung, B., Siddell, S. G., & Brierley, I. (2016) · PLoS Pathogens · doi:10.1371/journal.ppat.1005473 · Cited by 205 · see citing works
Schaecher, S. R., Mackenzie, J. M., & Pekosz, A. S. (2006) · Journal of Virology · doi:10.1128/jvi.01691-06 · Cited by 173 · see citing works
DRiPs solidify: progress in understanding endogenous MHC class I antigen processing
Yewdell, J. W. (2011) · Trends in Immunology · doi:10.1016/j.it.2011.08.001 · Cited by 161 · see citing works
Comparative analysis of RNA genomes of mouse hepatitis viruses
Lai, M. M. C., & Stohlman, S. A. (1981) · Journal of Virology · doi:10.1128/jvi.38.2.661-670.1981 · Cited by 146 · see citing works
Tirosh, O., Cohen, Y., Shitrit, A., Shani, O., Le‐Trilling, V. T. K., Trilling, M., Friedlander, G., Tanenbaum, M. E., & Stern‐Ginossar, N. (2015) · PLoS Pathogens · doi:10.1371/journal.ppat.1005288 · Cited by 118 · see citing works
Self-citationEmerging roles for RNA degradation in viral replication and antiviral defense
Abernathy, E., & Glaunsinger, B. A. (2015) · Virology · doi:10.1016/j.virol.2015.02.007 · Cited by 98 · see citing works
Coding potential and sequence conservation of SARS-CoV-2 and related animal viruses
Cagliani, R., Forni, D., Clerici, M., & Sironi, M. (2020) · Infection Genetics and Evolution · doi:10.1016/j.meegid.2020.104353 · Cited by 83 · see citing works
A putative new SARS-CoV protein, 3c, encoded in an ORF overlapping ORF3a
Firth, A. E. (2020) · Journal of General Virology · doi:10.1099/jgv.0.001469 · Cited by 52 · see citing works
Hachim, A., Kavian, N., Cohen, C. A., et al. (2020) · medRxiv · doi:10.1101/2020.04.30.20085670 · Cited by 48 · see citing works
Dinan, A. M., Keep, S., Bickerton, E., Britton, P., Firth, A. E., & Brierley, I. (2019) · Journal of Virology · doi:10.1128/jvi.00714-19 · Cited by 43 · see citing works
Finkel, Y., Schmiedel, D., Tai-Schmiedel, J., Nachshon, A., Winkler, R., Dobešová, M., Schwartz, M., Mandelboim, O., & Stern‐Ginossar, N. (2020) · eLife · doi:10.7554/elife.50960 · Cited by 38 · see citing works
Self-citationPolyadenylate in the Virion RNA of Mouse Hepatitis Virus
Yogo, Y., Hirano, N., Hino, S., et al. (1977) · The Journal of Biochemistry · doi:10.1093/oxfordjournals.jbchem.a131782 · Cited by 37 · see citing works
A single dose of recombinant VSV-ΔG-spike vaccine provides protection against SARS-CoV-2 challengePreprint
Yahalom-Ronen, Y., Tamir, H., Melamed, S., Politi, B., Shifman, O., Achdout, H., Vitner, E. B., Israeli, O., Milrot, E., Stein, D., et al. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.06.18.160655 · Cited by 25 · see citing works
Self-citationJungreis, I., Sealfon, R. S. G., & Kellis, M. (2020) · bioRxiv · doi:10.1101/2020.06.02.130955 · Cited by 17 · see citing works
Dinan, A. M., Keep, S., Bickerton, E., et al. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/612614 · Cited by 6 · see citing works
Flagged first, then by citations
Research works printed but not linked: 1
- Davidson, A. D. et al. Characterisation of the transcriptome and proteome of SARS-CoV-2 reveals a cell passage induced in-frame deletion of the furin-like cleavage site from the spike glycoprotein. Genome Med. 12, 68 (2020).
Cited by
Sorted by citations
SARS-CoV-2 Disrupts Splicing, Translation, and Protein Trafficking to Suppress Host Defenses
Banerjee, A. K., Blanco, M. R., Bruce, E. A., Honson, D. D., Chen, L. M., Chow, A., Bhat, P., Ollikainen, N., Quinodoz, S. A., Loney, C., et al. (2020) · Cell · doi:10.1016/j.cell.2020.10.004 · Cited by 583 · see citing works
Spread of a SARS-CoV-2 variant through Europe in the summer of 2020
Hodcroft, E. B., Zuber, M., Nadeau, S., Vaughan, T. G., Crawford, K. H. D., Althaus, C. L., Reichmuth, M. L., Bowen, J. E., Walls, A. C., Corti, D., et al. (2021) · Nature · doi:10.1038/s41586-021-03677-y · Cited by 425 · see citing works
Profiling SARS-CoV-2 HLA-I peptidome reveals T cell epitopes from out-of-frame ORFs
Weingarten-Gabbay, S., Klaeger, S., Sarkizova, S., Pearlman, L. R., Chen, D.-Y., Gallagher, K. M. E., Bauer, M. R., Taylor, H. B., Dunn, W. A., Tarr, C., et al. (2021) · Cell · doi:10.1016/j.cell.2021.05.046 · Cited by 147 · see citing works
Self-citationThe SARS-CoV-2 ORF10 is not essential in vitro or in vivo in humans
Pancer, K., Milewska, A., Owczarek, K., Dabrowska, A., Kowalski, M., Łabaj, P. P., Branicki, W., Sanak, M., & Pyrc, K. (2020) · PLOS Pathogens · doi:10.1371/journal.ppat.1008959 · Cited by 83 · see citing works
- Authors
- Finkel, Y., Mizrahi, O., Nachshon, A., Weingarten-Gabbay, S., Morgenstern, D., Yahalom-Ronen, Y., Tamir, H., Achdout, H., Stein, D., Israeli, O., Beth-Din, A., Melamed, S., Weiss, S., Israely, T., Paran, N., Schwartz, M., & Stern-Ginossar, N.
- Affiliations
- Weizmann Institute of Science (IL)
- Broad Institute (US)
- Israel Institute for Biological Research (IL)
- ORCID
- Venue
- Nature
- Published
- 2020-09-09
- Volume
- 589
- Issue
- 7840
- Pages
- 125-130
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- OpenAlex
- W3084071750
- Cited by
- 644
- References
- 35
- Citations by year
- 2026: 45 · 2025: 60 · 2024: 79 · 2023: 108 · 2022: 149 · 2021: 165 · 2020: 34 · 2019: 1 · 2018: 3
- FWCI
- 14.91
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Nature (publishedVersion)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by)
- PubMed (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Funders
- Israel Science Foundation (1526/18)
- Topics
- Health Sciences › Medicine › Infectious Diseases › SARS-CoV-2 and COVID-19 Research
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › RNA and protein synthesis mechanisms
- Life Sciences › Agricultural and Biological Sciences › Animal Science and Zoology › Animal Virus Infections Studies
- Keywords
- SARS-CoV-2, COVID-19 pandemic, ribosome profiling, viral protein expression, viral protein synthesis, upstream open reading frames, viral transcriptome
- MeSH terms
- SARS-CoV-2, Animals, Cell Line, Humans, Peptides, Ribosomes, RNA, Messenger, RNA, Viral, Protein Biosynthesis, Viral Proteins, Open Reading Frames, Genome, Viral, Gene Expression Profiling, Molecular Sequence Annotation
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