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Volume 38, Issue 1, Pages 19-26 (January 2007)


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Characterizing 56 complete SARS-CoV S-gene sequences from Hong Kong

Julian W. Tanga, Jo L.K. Cheunga, Ida M.T. Chua, Margaret Ipa, Mamie Huia, Malik Peirisb, Paul K.S. ChanacCorresponding Author Informationemail address

Received 11 May 2006; received in revised form 18 September 2006; accepted 6 October 2006. published online 18 November 2006.

Abstract 

Background

The spike glycoprotein (S) gene of the severe acute respiratory syndrome-associated coronavirus (SARS-CoV) has been useful in analyzing the molecular epidemiology of the 2003 SARS outbreaks.

Objectives

To characterize complete SARS-CoV S-gene sequences from Hong Kong.

Study design

Fifty-six SARS-CoV S-gene sequences, obtained from patients who presented with SARS to the Prince of Wales Hospital during March–May 2003, were analysed using a maximum likelihood (ML) approach, together with 138 other (both human and animal) S-gene sequences downloaded from GenBank.

Results

The maximum-likelihood (ML) trees showed little evolution occurring within these 56 sequences. Analysis with the other sequences, showed three distinct SARS clusters, closely correlated to previously defined early, middle and late phases of the 2003 international SARS outbreaks. In addition, two new single nucleotide variations (SNVs), T21615A and T21901A, were discovered, not previously reported elsewhere.

Conclusions

The ML approach to the reconstruction of tree phylogenies is known to be superior to the more popular, less computationally and time-demanding neighbour-joining (NJ) approach. The ML analysis in this study confirms the previously reported SARS epidemiology analysed mostly using the NJ approach. The two new SNVs reported here are most likely due to the tissue-culture passaging of the clinical samples.

a Department of Microbiology, School of Public Health, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, Hong Kong SAR, China

b Department of Microbiology, The University of Hong Kong, Queen Mary Hospital, Pokfulam, Hong Kong SAR, China.

c Centre for Emerging Infectious Diseases, School of Public Health, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, Hong Kong SAR, China

Corresponding Author InformationCorresponding author at: Department of Microbiology, School of Public Health, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, New Territories, Hong Kong SAR, China. Tel.: +852 2632 3333; fax: +852 2647 3227.

PII: S1386-6532(06)00373-8

doi:10.1016/j.jcv.2006.10.001


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