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Reconstruction of the most recent co

時間:2023-05-02 21:56:41 生物醫(yī)學(xué)論文 我要投稿
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Reconstruction of the most recent common ancestor sequences of SARS-Cov S gene and detection of adaptive evolution in th

The genome organization and expression strategy of severe acute respiratory syndrome coronavirus (SARSCoV) have been described extensivelyl1- 10]. As a structural glycoprotein on the virion surface, the spike protein is responsible for binding to host cellular receptors and for the fusion between the viral envelope and the cellular membrane. It also induces neutralizing antibodies in the host and mediates cellular immunity[11]. Previous studies suggested that amino acid replacements in the spike protein could dramatically alter the pathogenesis and virulence of some coronaviruses[11]. It is therefore reasonable to test the hypothesis that radical amino acid replacements in the spike protein, favored by environmental selective pressure during the process of SARS-CoV interspecific transmission[10], might make this pathogen adapt to a new host. In this study, we investigated a total of 108complete sequences of the SARS-CoV S gene from GenBank (until March 23, 2004). After omission of those records containing frame-shift mutations or low quality sequences, e.g. ZJ01, and selection of one sequence for identical records, an alignment of 42 sequences was obtained using the program Clustal-X[13]. Then, we reconstructed the most recent common ancestor (MRCA) sequences of the SARS-CoV S gene and detected the adaptive evolution in the spike protein.

作 者: ZHANG Yuan ZHENG Nan HAO Pei ZHONG Yang   作者單位: ZHANG Yuan(Laboratory of Systematic and Evolutionary Botany, Institute of Bot any, Chinese Academy of Sciences, Beijing 100093, China)

ZHENG Nan(College of Life Sciences, Beijing Normal University, Beijing 100875, China; Institute of Viral Disease Control and Prevention, Chinese CDC, Beijing 100052, China)

HAO Pei(Bioinformation Center, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200031, China; Shanghai Center for Bioinformation Technology, Shanghai 200235, China)

ZHONG Yang(School of Life Sciences, Fudan University, Shanghai 200433, China) 

刊 名: 科學(xué)通報(英文版)  SCI 英文刊名: CHINESE SCIENCE BULLETIN  年,卷(期): 2004 49(12)  分類號: Q5  關(guān)鍵詞:  

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