The DOI matches its Crossref record; 45 of the 45 references it cites were found in a registry or an index.
Coronavirus Genomics and Bioinformatics Analysis
Open accessAbstract
The drastic increase in the number of coronaviruses discovered and coronavirus genomes being sequenced have given us an unprecedented opportunity to perform genomics and bioinformatics analysis on this family of viruses. Coronaviruses possess the largest genomes (26.4 to 31.7 kb) among all known RNA viruses, with G + C contents varying from 32% to 43%. Variable numbers of small ORFs are present between the various conserved genes (ORF1ab, spike, envelope, membrane and nucleocapsid) and downstream to nucleocapsid gene in different coronavirus lineages. Phylogenetically, three genera, Alphacoronavirus, Betacoronavirus and Gammacoronavirus, with Betacoronavirus consisting of subgroups A, B, C and D, exist. A fourth genus, Deltacoronavirus, which includes bulbul coronavirus HKU11, thrush coronavirus HKU12 and munia coronavirus HKU13, is emerging. Molecular clock analysis using various gene loci revealed that the time of most recent common ancestor of human/civet SARS related coronavirus to be 1999-2002, with estimated substitution rate of 4´10-4 to 2´10-2 substitutions per site per year. Recombination in coronaviruses was most notable between different strains of murine hepatitis virus (MHV), between different strains of infectious bronchitis virus, between MHV and bovine coronavirus, between feline coronavirus (FCoV) type I and canine coronavirus generating FCoV type II, and between the three genotypes of human coronavirus HKU1 (HCoV-HKU1). Codon usage bias in coronaviruses were observed, with HCoV-HKU1 showing the most extreme bias, and cytosine deamination and selection of CpG suppressed clones are the two major independent biological forces that shape such codon usage bias in coronaviruses.
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Characterization of a Novel Coronavirus Associated with Severe Acute Respiratory Syndrome
Rota, P. A., Oberste, M. S., Monroe, S. S., Nix, W. A., Campagnoli, R., Icenogle, J. P., Peñaranda, S., Bankamp, B., Maher, K., Chen, M.-H., et al. (2003) · Science · doi:10.1126/science.1085952 · Cited by 2,474
Guan, Y., Zheng, B. J., He, Y. Q., Liu, X. L., Zhuang, Z. X., Cheung, C. L., Luo, S. W., Li, P. H., Zhang, L. J., Guan, Y. J., et al. (2003) · Science · doi:10.1126/science.1087139 · Cited by 2,406
Self-citationThe Genome Sequence of the SARS-Associated Coronavirus
Marra, M. A., Jones, S. J. M., Astell, C. R., Holt, R. A., Brooks-Wilson, A., Butterfield, Y. S. N., Khattra, J., Asano, J. K., Barber, S. A., Chan, S. Y., et al. (2003) · Science · doi:10.1126/science.1085953 · Cited by 2,026
Identification of a new human coronavirus
van der Hoek, L., Pyrc, K., Jebbink, M. F., Vermeulen-Oost, W., Berkhout, R. J. M., Wolthers, K. C., Wertheim-van Dillen, P. M. E., Kaandorp, J., Spaargaren, J., & Berkhout, B. (2004) · Nature Medicine · doi:10.1038/nm1024 · Cited by 1,886
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
Self-citationWoo, 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
Self-citationSnijder, 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
Coronavirus Diversity, Phylogeny and Interspecies Jumping
Woo, P. C. Y., Lau, S. K. P., Huang, Y., & Yuen, K.-Y. (2009) · Experimental Biology and Medicine · doi:10.3181/0903-mr-94 · Cited by 758
Self-citationCross-host evolution of severe acute respiratory syndrome coronavirus in palm civet and human
Song, H.-D., Tu, C.-C., Zhang, G.-W., Wang, S.-Y., Zheng, K., Lei, L.-C., Chen, Q.-X., Gao, Y.-W., Zhou, H.-Q., Xiang, H., et al. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0409608102 · Cited by 701
RNA recombination in animal and plant viruses
Lai, M. M. C. (1992) · Microbiological Reviews · doi:10.1128/mmbr.56.1.61-79.1992 · Cited by 664
Cited by
Randhawa, G. S., Soltysiak, M. P. M., El Roz, H., de Souza, C. P. E., Hill, K. A., & Kari, L. (2020) · PLOS ONE · doi:10.1371/journal.pone.0232391 · Cited by 1,023
Reusken, C. B., Haagmans, B. L., Müller, M. A., Gutierrez, C., Godeke, G.-J., Meyer, B., Muth, D., Raj, V. S., Vries, L. S.-D., Corman, V. M., et al. (2013) · The Lancet Infectious Diseases · doi:10.1016/s1473-3099(13)70164-6 · Cited by 734
Novel human coronavirus (SARS-CoV-2): A lesson from animal coronaviruses
Decaro, N., & Lorusso, A. (2020) · Veterinary Microbiology · doi:10.1016/j.vetmic.2020.108693 · Cited by 382
(2020) · Utrecht University Repository (Utrecht University) · Cited by 46
Borsatto, A., Akkad, O., Galdadas, I., Ma, S., Damfo, S., Haider, S., Kozielski, F., Estarellas, C., & Gervasio, F. L. (2022) · eLife · doi:10.7554/elife.81167 · Cited by 32
Metadata
- Authors
- Woo, P. C. Y., Huang, Y., Lau, S. K. P., & Yuen, K.-Y.
- Venue
- Viruses
- Publisher
- MDPI AG
- Published
- 2010-08-24
- Volume
- 2
- Issue
- 8
- Pages
- 1804-1820
- ISSN
- 1999-4915 (ISSN-L)
- OpenAlex
- W2057987200
- Cited by
- 913
- References
- 45
- FWCI
- 2.31
- Type
- journal article
- Language
- en
- Open access
- gold
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