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Moderate mutation rate in the SARS coronavirus genome and its implications

BACKGROUND: The outbreak of severe acute respiratory syndrome (SARS) caused a severe global epidemic in 2003 which led to hundreds of deaths and many thousands of hospitalizations. The virus causing SARS was identified as a novel coronavirus (SARS-CoV) and multiple genomic sequences have been reveal...

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Autores principales: Zhao, Zhongming, Li, Haipeng, Wu, Xiaozhuang, Zhong, Yixi, Zhang, Keqin, Zhang, Ya-Ping, Boerwinkle, Eric, Fu, Yun-Xin
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2004
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC446188/
https://www.ncbi.nlm.nih.gov/pubmed/15222897
http://dx.doi.org/10.1186/1471-2148-4-21
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author Zhao, Zhongming
Li, Haipeng
Wu, Xiaozhuang
Zhong, Yixi
Zhang, Keqin
Zhang, Ya-Ping
Boerwinkle, Eric
Fu, Yun-Xin
author_facet Zhao, Zhongming
Li, Haipeng
Wu, Xiaozhuang
Zhong, Yixi
Zhang, Keqin
Zhang, Ya-Ping
Boerwinkle, Eric
Fu, Yun-Xin
author_sort Zhao, Zhongming
collection PubMed
description BACKGROUND: The outbreak of severe acute respiratory syndrome (SARS) caused a severe global epidemic in 2003 which led to hundreds of deaths and many thousands of hospitalizations. The virus causing SARS was identified as a novel coronavirus (SARS-CoV) and multiple genomic sequences have been revealed since mid-April, 2003. After a quiet summer and fall in 2003, the newly emerged SARS cases in Asia, particularly the latest cases in China, are reinforcing a wide-spread belief that the SARS epidemic would strike back. With the understanding that SARS-CoV might be with humans for years to come, knowledge of the evolutionary mechanism of the SARS-CoV, including its mutation rate and emergence time, is fundamental to battle this deadly pathogen. To date, the speed at which the deadly virus evolved in nature and the elapsed time before it was transmitted to humans remains poorly understood. RESULTS: Sixteen complete genomic sequences with available clinical histories during the SARS outbreak were analyzed. After careful examination of multiple-sequence alignment, 114 single nucleotide variations were identified. To minimize the effects of sequencing errors and additional mutations during the cell culture, three strategies were applied to estimate the mutation rate by 1) using the closely related sequences as background controls; 2) adjusting the divergence time for cell culture; or 3) using the common variants only. The mutation rate in the SARS-CoV genome was estimated to be 0.80 – 2.38 × 10(-3 )nucleotide substitution per site per year which is in the same order of magnitude as other RNA viruses. The non-synonymous and synonymous substitution rates were estimated to be 1.16 – 3.30 × 10(-3 )and 1.67 – 4.67 × 10(-3 )per site per year, respectively. The most recent common ancestor of the 16 sequences was inferred to be present as early as the spring of 2002. CONCLUSIONS: The estimated mutation rates in the SARS-CoV using multiple strategies were not unusual among coronaviruses and moderate compared to those in other RNA viruses. All estimates of mutation rates led to the inference that the SARS-CoV could have been with humans in the spring of 2002 without causing a severe epidemic.
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spelling pubmed-4461882004-07-09 Moderate mutation rate in the SARS coronavirus genome and its implications Zhao, Zhongming Li, Haipeng Wu, Xiaozhuang Zhong, Yixi Zhang, Keqin Zhang, Ya-Ping Boerwinkle, Eric Fu, Yun-Xin BMC Evol Biol Research Article BACKGROUND: The outbreak of severe acute respiratory syndrome (SARS) caused a severe global epidemic in 2003 which led to hundreds of deaths and many thousands of hospitalizations. The virus causing SARS was identified as a novel coronavirus (SARS-CoV) and multiple genomic sequences have been revealed since mid-April, 2003. After a quiet summer and fall in 2003, the newly emerged SARS cases in Asia, particularly the latest cases in China, are reinforcing a wide-spread belief that the SARS epidemic would strike back. With the understanding that SARS-CoV might be with humans for years to come, knowledge of the evolutionary mechanism of the SARS-CoV, including its mutation rate and emergence time, is fundamental to battle this deadly pathogen. To date, the speed at which the deadly virus evolved in nature and the elapsed time before it was transmitted to humans remains poorly understood. RESULTS: Sixteen complete genomic sequences with available clinical histories during the SARS outbreak were analyzed. After careful examination of multiple-sequence alignment, 114 single nucleotide variations were identified. To minimize the effects of sequencing errors and additional mutations during the cell culture, three strategies were applied to estimate the mutation rate by 1) using the closely related sequences as background controls; 2) adjusting the divergence time for cell culture; or 3) using the common variants only. The mutation rate in the SARS-CoV genome was estimated to be 0.80 – 2.38 × 10(-3 )nucleotide substitution per site per year which is in the same order of magnitude as other RNA viruses. The non-synonymous and synonymous substitution rates were estimated to be 1.16 – 3.30 × 10(-3 )and 1.67 – 4.67 × 10(-3 )per site per year, respectively. The most recent common ancestor of the 16 sequences was inferred to be present as early as the spring of 2002. CONCLUSIONS: The estimated mutation rates in the SARS-CoV using multiple strategies were not unusual among coronaviruses and moderate compared to those in other RNA viruses. All estimates of mutation rates led to the inference that the SARS-CoV could have been with humans in the spring of 2002 without causing a severe epidemic. BioMed Central 2004-06-28 /pmc/articles/PMC446188/ /pubmed/15222897 http://dx.doi.org/10.1186/1471-2148-4-21 Text en Copyright © 2004 Zhao et al; licensee BioMed Central Ltd. This is an Open Access article: verbatim copying and redistribution of this article are permitted in all media for any purpose, provided this notice is preserved along with the article's original URL.
spellingShingle Research Article
Zhao, Zhongming
Li, Haipeng
Wu, Xiaozhuang
Zhong, Yixi
Zhang, Keqin
Zhang, Ya-Ping
Boerwinkle, Eric
Fu, Yun-Xin
Moderate mutation rate in the SARS coronavirus genome and its implications
title Moderate mutation rate in the SARS coronavirus genome and its implications
title_full Moderate mutation rate in the SARS coronavirus genome and its implications
title_fullStr Moderate mutation rate in the SARS coronavirus genome and its implications
title_full_unstemmed Moderate mutation rate in the SARS coronavirus genome and its implications
title_short Moderate mutation rate in the SARS coronavirus genome and its implications
title_sort moderate mutation rate in the sars coronavirus genome and its implications
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC446188/
https://www.ncbi.nlm.nih.gov/pubmed/15222897
http://dx.doi.org/10.1186/1471-2148-4-21
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