Dynamically evolving novel overlapping gene as a factor in the SARS-CoV-2 pandemic
Open accessPublished version of a preprint
Abstract
Understanding the emergence of novel viruses requires an accurate and comprehensive annotation of their genomes. Overlapping genes (OLGs) are common in viruses and have been associated with pandemics but are still widely overlooked. We identify and characterize ORF3d , a novel OLG in SARS-CoV-2 that is also present in Guangxi pangolin-CoVs but not other closely related pangolin-CoVs or bat-CoVs. We then document evidence of ORF3d translation, characterize its protein sequence, and conduct an evolutionary analysis at three levels: between taxa (21 members of Severe acute respiratory syndrome-related coronavirus ), between human hosts (3978 SARS-CoV-2 consensus sequences), and within human hosts (401 deeply sequenced SARS-CoV-2 samples). ORF3d has been independently identified and shown to elicit a strong antibody response in COVID-19 patients. However, it has been misclassified as the unrelated gene ORF3b , leading to confusion. Our results liken ORF3d to other accessory genes in emerging viruses and highlight the importance of OLGs.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Global quantification of mammalian gene expression control
Schwanhäusser, B., Busse, D., Li, N., Dittmar, G., Schuchhardt, J., Wolf, J., Chen, W., & Selbach, M. (2011) · Nature · doi:10.1038/nature10098 · Cited by 6,566 · see citing works
Spike mutation D614G alters SARS-CoV-2 fitness
Plante, J. A., Liu, Y., Liu, J., Xia, H., Johnson, B. A., Lokugamage, K. G., Zhang, X., Muruato, A. E., Zou, J., Fontes-Garfias, C. R., et al. (2021) · Nature · doi:10.1038/s41586-020-2895-3 · Cited by 1,558 · see citing works
Evolutionary origins of the SARS-CoV-2 sarbecovirus lineage responsible for the COVID-19 pandemic
Boni, M. F., Lemey, P., Jiang, X., Lam, T. T.-Y., Perry, B. W., Castoe, T. A., Rambaut, A., & Robertson, D. L. (2020) · Nature Microbiology · doi:10.1038/s41564-020-0771-4 · Cited by 1,014 · 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
Effect of read-mapping biases on detecting allele-specific expression from RNA-sequencing data.
Degner, J. F., Marioni, J. C., Pai, A. A., Pickrell, J. K., Nkadori, E., Gilad, Y., & Pritchard, J. K. (2009) · Bioinformatics · doi:10.1093/bioinformatics/btp579 · Cited by 502 · see citing works
Flagged first, then by citations
- Authors
- Nelson, C. W., Ardern, Z., Goldberg, T. L., Meng, C., Kuo, C.-H., Ludwig, C., Kolokotronis, S.-O., & Wei, X.
- Affiliations
- American Museum of Natural History (US)
- Technical University of Munich (DE)
- University of Wisconsin–Madison (US)
- Biodiversity Research Center, Academia Sinica (TW)
- University of California, Los Angeles (US)
- Corresponding author
- Nelson, Chase W
- Ardern, Zachary
- Wei, Xinzhu
- ORCID
- Venue
- eLife
- Publisher
- eLife Sciences Publications, Ltd
- Published
- 2020-10-01
- Volume
- 9
- ISSN
- 2050-084X (ISSN-L)
- PMC
- PMC7655111
- OpenAlex
- W3091283230
- Cited by
- 87
- References
- 5
- Citations by year
- 2026: 1 · 2025: 2 · 2024: 10 · 2023: 16 · 2022: 23 · 2021: 32 · 2020: 3
- FWCI
- 2.43
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- eLife (publishedVersion, cc-by)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by-nc-nd)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- mediaTUM – the media and publications repository of the Technical University Munich (Technical University Munich) (submittedVersion, other-oa)
- mediaTUM – the media and publications repository of the Technical University Munich (Technical University Munich) (submittedVersion)
- mediaTUM (Technical University of Munich) (submittedVersion, other-oa)
- SUNY Digital Repository Support (State University of New York System) (submittedVersion, cc-by)
- Funders
- Academia Sinica (Postdoctoral Research Fellowship)
- National Philanthropic Trust (Grant)
- University of Wisconsin-Madison (John D MacArthur Professorship Chair)
- National Science Foundation (IOS grants #1755370 and #1758800)
- Topics
- Health Sciences › Medicine › Infectious Diseases › SARS-CoV-2 and COVID-19 Research
- Life Sciences › Agricultural and Biological Sciences › Animal Science and Zoology › Animal Virus Infections Studies
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Phylogenetic Studies
- Keywords
- SARS-CoV-2, overlapping genes, accessory genes, pangolin coronavirus, bat coronaviruses, viral evolution, antibody response, COVID-19 pandemic
- MeSH terms
- Eutheria, Betacoronavirus, COVID-19, SARS-CoV-2, Amino Acid Sequence, Animals, Antibodies, Viral, Antibody Specificity, Epitopes, Antigens, Viral, China, Chiroptera, Europe, Genes, Overlapping, Genes, Viral, Haplotypes, Humans, Models, Molecular, Mutation, Phylogeny, Pneumonia, Viral, Protein Conformation, RNA, Viral, Sequence Homology, Nucleic Acid, Protein Biosynthesis, Genetic Variation, Viral Proteins, Gene Expression Regulation, Viral, Open Reading Frames, Sequence Alignment, Coronavirus, Coronavirus Infections, Evolution, Molecular, Host Specificity, Pandemics
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review