The DOI matches its Crossref record; 94 of the 94 references it cites were found in a registry or an index.
Coronaviruses: An RNA proofreading machine regulates replication fidelity and diversity
Open accessAbstract
In order to survive and propagate, RNA viruses must achieve a balance between the capacity for adaptation to new environmental conditions or host cells with the need to maintain an intact and replication competent genome. Several virus families in the order Nidovirales, such as the coronaviruses (CoVs) must achieve these objectives with the largest and most complex replicating RNA genomes known, up to 32 kb of positive-sense RNA. The CoVs encode sixteen nonstructural proteins (nsp 1-16) with known or predicted RNA synthesis and modification activities, and it has been proposed that they are also responsible for the evolution of large genomes. The CoVs, including murine hepatitis virus (MHV) and SARS-CoV, encode a 3'-to-5' exoribonuclease activity (ExoN) in nsp14. Genetic inactivation of ExoN activity in engineered SARS-CoV and MHV genomes by alanine substitution at conserved DE-D-D active site residues results in viable mutants that demonstrate 15- to 20-fold increases in mutation rates, up to 18 times greater than those tolerated for fidelity mutants of other RNA viruses. Thus nsp14-ExoN is essential for replication fidelity, and likely serves either as a direct mediator or regulator of a more complex RNA proofreading machine, a process previously unprecedented in RNA virus biology. Elucidation of the mechanisms of nsp14-mediated proofreading will have major implications for our understanding of the evolution of RNA viruses, and also will provide a robust model to investigate the balance between fidelity, diversity and pathogenesis. The discovery of a protein distinct from a viral RdRp that regulates replication fidelity also raises the possibility that RNA genome replication fidelity may be adaptable to differing replication environments and selective pressures, rather than being a fixed determinant.
Overview
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
Verification
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.
Citations
Cites
Global trends in emerging infectious diseases
Jones, K. E., Patel, N. G., Levy, M. A., Storeygard, A., Balk, D., Gittleman, J. L., & Daszak, P. (2008) · Nature · doi:10.1038/nature06536 · Cited by 8,338
Bats Are Natural Reservoirs of SARS-Like Coronaviruses
Li, W., Shi, Z., Yu, M., Ren, W., Smith, C., Epstein, J. H., Wang, H., Crameri, G., Hu, Z., Zhang, H., et al. (2005) · Science · doi:10.1126/science.1118391 · Cited by 2,560
The relation of recombination to mutational advance
Muller, H. J. (1964) · Mutation Research · doi:10.1016/0027-5107(64)90047-8 · Cited by 2,512
Coronaviruses post-SARS: update on replication and pathogenesis
Perlman, S., & Netland, J. (2009) · Nature Reviews Microbiology · doi:10.1038/nrmicro2147 · Cited by 1,764
Severe acute respiratory syndrome coronavirus-like virus in Chinese horseshoe bats
Lau, S. K. P., Woo, P. C. Y., Li, K. S. M., Huang, Y., Tsoi, H.-W., Wong, B. H. L., Wong, S. S. Y., Leung, S.-Y., Chan, K.-H., & Yuen, K.-Y. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0506735102 · Cited by 1,544
Woo, P. C. Y., Lau, S. K. P., Chu, C.-M., Chan, K.-H., Tsoi, H.-W., Huang, Y., Wong, B. H. L., Poon, R. W. S., Cai, J. J., Luk, W.-K., et al. (2005) · Journal of Virology · doi:10.1128/jvi.79.2.884-895.2005 · Cited by 1,525
Sanjuán, R., Nebot, M. R., Chirico, N., Mansky, L. M., & Belshaw, R. (2010) · Journal of Virology · doi:10.1128/jvi.00694-10 · Cited by 1,246
Snijder, E. J., Bredenbeek, P. J., Dobbe, J. C., Thiel, V., Ziebuhr, J., Poon, L. L. M., Guan, Y., Rozanov, M., Spaan, W. J. M., & Gorbalenya, A. E. (2003) · Journal of Molecular Biology · doi:10.1016/s0022-2836(03)00865-9 · Cited by 1,198
Vignuzzi, M., Stone, J. K., Arnold, J. J., Cameron, C. E., & Andino, R. (2006) · Nature · doi:10.1038/nature04388 · Cited by 1,116
Nidovirales: Evolving the largest RNA virus genome
Gorbalenya, A. E., Enjuanes, L., Ziebuhr, J., & Snijder, E. J. (2006) · Virus Research · doi:10.1016/j.virusres.2006.01.017 · Cited by 922
Cited by
Escape from neutralizing antibodies by SARS-CoV-2 spike protein variants
Weisblum, Y., Schmidt, F., Zhang, F., DaSilva, J., Poston, D., Lorenzi, J. C., Muecksch, F., Rutkowska, M., Hoffmann, H.-H., Michailidis, E., et al. (2020) · eLife · doi:10.7554/elife.61312 · Cited by 1,308
Structural and Functional Analysis of the D614G SARS-CoV-2 Spike Protein Variant
Yurkovetskiy, L., Wang, X., Pascal, K. E., Tomkins-Tinch, C., Nyalile, T. P., Wang, Y., Baum, A., Diehl, W. E., Dauphin, A., Carbone, C., et al. (2020) · Cell · doi:10.1016/j.cell.2020.09.032 · Cited by 1,025
Domingo, E., Sheldon, J., & Perales, C. (2012) · Microbiology and Molecular Biology Reviews · doi:10.1128/mmbr.05023-11 · Cited by 1,009
SARS-CoV-2 D614G variant exhibits efficient replication ex vivo and transmission in vivo
Hou, Y. J., Chiba, S., Halfmann, P., Ehre, C., Kuroda, M., Dinnon, K. H., Leist, S. R., Schäfer, A., Nakajima, N., Takahashi, K., et al. (2020) · Science · doi:10.1126/science.abe8499 · Cited by 900
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
Metadata
- Authors
- Denison, M. R., Graham, R. L., Donaldson, E. F., Eckerle, L. D., & Baric, R. S.
- Venue
- RNA Biology
- Publisher
- Informa UK Limited
- Published
- 2011-03
- Volume
- 8
- Issue
- 2
- Pages
- 270-279
- ISSN
- 1547-6286 (ISSN-L)
- 1555-8584
- OpenAlex
- W1965669216
- Cited by
- 476
- References
- 94
- FWCI
- 8.21
- Type
- journal article
- Language
- en
- Open access
- bronze
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Coronaviruses: An RNA proofreading machine regulates replication fidelity and diversity. https://app.cochat.ai/papers/10.4161/rna.8.2.15013
- The paper
- Denison, M. R., Graham, R. L., Donaldson, E. F., Eckerle, L. D., & Baric, R. S. (2011). Coronaviruses: An RNA proofreading machine regulates replication fidelity and diversity. RNA Biology. https://doi.org/10.4161/rna.8.2.15013
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.