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Isolation of Virus from a SARS Patient and Genome-wide Analysis of Genetic Mutations Related to Pathogenesis and Epidemiology from 47 SARS-CoV Isolates

Identifieur interne : 004B63 ( Main/Exploration ); précédent : 004B62; suivant : 004B64

Isolation of Virus from a SARS Patient and Genome-wide Analysis of Genetic Mutations Related to Pathogenesis and Epidemiology from 47 SARS-CoV Isolates

Auteurs : Ying Zhu [République populaire de Chine] ; Mo Liu [République populaire de Chine] ; Weiguang Zhao [République populaire de Chine] ; Jianlin Zhang [République populaire de Chine] ; Xue Zhang [République populaire de Chine] ; Ke Wang [République populaire de Chine] ; Chunfang Gu [République populaire de Chine] ; Kailang Wu [République populaire de Chine] ; Yan Li [République populaire de Chine] ; Congyi Zheng [République populaire de Chine] ; Gengfu Xiao [République populaire de Chine] ; Huimin Yan [République populaire de Chine] ; Jiamin Zhang [République populaire de Chine] ; Deyin Guo [République populaire de Chine] ; Po Tien [République populaire de Chine] ; Jianguo Wu [République populaire de Chine]

Source :

RBID : ISTEX:F417933DC70942AA0F7757EEFD6F3E24EDCAB2B3

Descripteurs français

English descriptors

Abstract

Abstract: Severe acute respiratory syndrome (SARS) caused by SARS-associated coronavirus (SARS-CoV) is a fatal disease. Prevention of future outbreaks is essential and requires understanding pathogenesis and evolution of the virus. We have isolated a SARS-CoV in China and analyzed 47 SARS-CoV genomes with the aims to reveal the evolution trends of the virus and provide insights into understanding pathogenesis and SARS epidemic. Specimen from a SARS patient was inoculated into cell culture. The presence of SARS-CoV was determined by RT-PCR and confirmed by electron microscopy. Virus was isolated followed by the determination of its genome sequences, which were then analyzed by comparing with other 46 SARS-CoV genomes. Genetic mutations with potential implications to pathogenesis and the epidemic were characterized. This viral genome consists of 29,728 nucleotides with overall organization in agreement with that of published isolates. A total of 348 positions were mutated on 47 viral genomes. Among them 22 had mutations in more than three genomes. Hot spots of nucleotide variations and unique trends of mutations were identified on the viral genomes. Mutation rates were different from gene to gene and were correlated well with periodical or geographic characteristics of the epidemic.

Url:
DOI: 10.1007/s11262-004-4586-9


Affiliations:


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Le document en format XML

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<term>Mutation ponctuelle</term>
<term>Mâle</term>
<term>RT-PCR</term>
<term>Épidémiologie moléculaire</term>
<term>Évolution moléculaire</term>
</keywords>
<keywords scheme="Wicri" type="geographic" xml:lang="fr">
<term>République populaire de Chine</term>
</keywords>
</textClass>
<langUsage>
<language ident="en">en</language>
</langUsage>
</profileDesc>
</teiHeader>
<front>
<div type="abstract" xml:lang="en">Abstract: Severe acute respiratory syndrome (SARS) caused by SARS-associated coronavirus (SARS-CoV) is a fatal disease. Prevention of future outbreaks is essential and requires understanding pathogenesis and evolution of the virus. We have isolated a SARS-CoV in China and analyzed 47 SARS-CoV genomes with the aims to reveal the evolution trends of the virus and provide insights into understanding pathogenesis and SARS epidemic. Specimen from a SARS patient was inoculated into cell culture. The presence of SARS-CoV was determined by RT-PCR and confirmed by electron microscopy. Virus was isolated followed by the determination of its genome sequences, which were then analyzed by comparing with other 46 SARS-CoV genomes. Genetic mutations with potential implications to pathogenesis and the epidemic were characterized. This viral genome consists of 29,728 nucleotides with overall organization in agreement with that of published isolates. A total of 348 positions were mutated on 47 viral genomes. Among them 22 had mutations in more than three genomes. Hot spots of nucleotide variations and unique trends of mutations were identified on the viral genomes. Mutation rates were different from gene to gene and were correlated well with periodical or geographic characteristics of the epidemic.</div>
</front>
</TEI>
<affiliations>
<list>
<country>
<li>République populaire de Chine</li>
</country>
<region>
<li>Hubei</li>
</region>
<settlement>
<li>Wuhan</li>
</settlement>
<orgName>
<li>Université de Wuhan</li>
</orgName>
</list>
<tree>
<country name="République populaire de Chine">
<region name="Hubei">
<name sortKey="Zhu, Ying" sort="Zhu, Ying" uniqKey="Zhu Y" first="Ying" last="Zhu">Ying Zhu</name>
</region>
<name sortKey="Gu, Chunfang" sort="Gu, Chunfang" uniqKey="Gu C" first="Chunfang" last="Gu">Chunfang Gu</name>
<name sortKey="Guo, Deyin" sort="Guo, Deyin" uniqKey="Guo D" first="Deyin" last="Guo">Deyin Guo</name>
<name sortKey="Li, Yan" sort="Li, Yan" uniqKey="Li Y" first="Yan" last="Li">Yan Li</name>
<name sortKey="Liu, Mo" sort="Liu, Mo" uniqKey="Liu M" first="Mo" last="Liu">Mo Liu</name>
<name sortKey="Tien, Po" sort="Tien, Po" uniqKey="Tien P" first="Po" last="Tien">Po Tien</name>
<name sortKey="Wang, Ke" sort="Wang, Ke" uniqKey="Wang K" first="Ke" last="Wang">Ke Wang</name>
<name sortKey="Wu, Jianguo" sort="Wu, Jianguo" uniqKey="Wu J" first="Jianguo" last="Wu">Jianguo Wu</name>
<name sortKey="Wu, Kailang" sort="Wu, Kailang" uniqKey="Wu K" first="Kailang" last="Wu">Kailang Wu</name>
<name sortKey="Xiao, Gengfu" sort="Xiao, Gengfu" uniqKey="Xiao G" first="Gengfu" last="Xiao">Gengfu Xiao</name>
<name sortKey="Yan, Huimin" sort="Yan, Huimin" uniqKey="Yan H" first="Huimin" last="Yan">Huimin Yan</name>
<name sortKey="Zhang, Jiamin" sort="Zhang, Jiamin" uniqKey="Zhang J" first="Jiamin" last="Zhang">Jiamin Zhang</name>
<name sortKey="Zhang, Jianlin" sort="Zhang, Jianlin" uniqKey="Zhang J" first="Jianlin" last="Zhang">Jianlin Zhang</name>
<name sortKey="Zhang, Xue" sort="Zhang, Xue" uniqKey="Zhang X" first="Xue" last="Zhang">Xue Zhang</name>
<name sortKey="Zhao, Weiguang" sort="Zhao, Weiguang" uniqKey="Zhao W" first="Weiguang" last="Zhao">Weiguang Zhao</name>
<name sortKey="Zheng, Congyi" sort="Zheng, Congyi" uniqKey="Zheng C" first="Congyi" last="Zheng">Congyi Zheng</name>
</country>
</tree>
</affiliations>
</record>

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