Magiorkinis, G., Magiorkinis, E., Paraskevis, D., Vandamme, A.-M., Van Ranst, M., Moulton, V. ORCID: https://orcid.org/0000-0001-9371-6435 and Hatzakiu, A. (2004) Phylogenetic analysis of the full-length SARS-CoV sequences: Evidence for phylogenetic discordance in three genomic regions. Journal of Medical Virology, 74 (3). pp. 369-372. ISSN 0146-6615
Full text not available from this repository. (Request a copy)Abstract
The origin of the severe acute respiratory syndrome-coronavirus (SARS-CoV) remains unclear. Evidence based on Bayesian scanning plots and phylogenetic analysis using maximum likelihood (ML) and Bayesian methods indicates that SARS-CoV, for the largest part of the genome (~80%), is more closely related to Group II coronaviruses sequences, whereas in three regions in the ORF1ab gene it shows no apparent similarity to any of the previously characterized groups of coronaviruses. There is discordant phylogenetic clustering of SARS-CoV and coronaviruses sequences, throughout the genome, compatible with either ancient recombination events or altered evolutionary rates in different lineages, or a combination of both.
Item Type: | Article |
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Faculty \ School: | Faculty of Science > School of Computing Sciences |
UEA Research Groups: | Faculty of Science > Research Groups > Computational Biology > Computational biology of RNA (former - to 2018) Faculty of Science > Research Groups > Computational Biology > Phylogenetics (former - to 2018) Faculty of Science > Research Groups > Computational Biology Faculty of Science > Research Groups > Norwich Epidemiology Centre Faculty of Medicine and Health Sciences > Research Groups > Norwich Epidemiology Centre |
Depositing User: | Vishal Gautam |
Date Deposited: | 09 Jun 2011 17:57 |
Last Modified: | 16 Jun 2023 02:30 |
URI: | https://ueaeprints.uea.ac.uk/id/eprint/22088 |
DOI: | 10.1002/jmv.20187 |
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