新型冠状病毒SARS-CoV-2的变异和进化分析
Identifieur interne : 004136 ( Ncbi/Merge ); précédent : 004135; suivant : 004137新型冠状病毒SARS-CoV-2的变异和进化分析
Auteurs :Source :
- Journal of Southern Medical University [ 1673-4254 ] ; 2020.
Abstract
分析新型冠状病毒SARS-CoV-2的进化、变异情况。
从GISAID、NCBI中下载相关病毒全基因组序列，运用生物信息学软件MEGA-X、BEAST、TempEst等软件，构建基因组进化树，推测病毒的时间进化信号，计算病毒出现的tMRCA时间，分析病毒进化的选择压力。
基因组进化树显示SARS-CoV-2与蝙蝠冠状病毒Beta CoV/bat/Yunnan/RaTG13/2013、bat-SL-CoVZC45、bat-SL-CoVZXC21和SARS-CoV等病毒共同构成冠状病毒β属的Sarbecovirus亚属。现在的病毒序列有微弱的时间进化信号，tMRCA平均时间为73 d，95%可信区间(38.9~119.3 d)，与BetaCoV/bat/Yunnan/RaTG13/2013病毒不具正性时间进化信号，与bat-SL-CoVZC45和SARS-CoV具有强的正性时间进化关系。病毒在流行期间存在变异，主要是净化选择压力。
病毒SARS-CoV-2可能出现在2019年11月左右，来源于蝙蝠相关冠状病毒。结果将有助于研究病毒SARS-CoV-2的溯源、进化，对疾病进行正确防控具有指导意义。
Url:
DOI: 10.12122/j.issn.1673-4254.2020.02.02
PubMed: NONE
PubMed Central: 7086142
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<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">新型冠状病毒SARS-CoV-2的变异和进化分析</title></titleStmt><publicationStmt><idno type="wicri:source">PMC</idno><idno type="pmc">7086142</idno><idno type="url">http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7086142</idno><idno type="RBID">PMC:7086142</idno><idno type="doi">10.12122/j.issn.1673-4254.2020.02.02</idno><idno type="pmid">NONE</idno><date when="2020">2020</date><idno type="wicri:Area/Pmc/Corpus">000C32</idno><idno type="wicri:explorRef" wicri:stream="Pmc" wicri:step="Corpus" wicri:corpus="PMC">000C32</idno><idno type="wicri:Area/Pmc/Curation">000C32</idno><idno type="wicri:explorRef" wicri:stream="Pmc" wicri:step="Curation">000C32</idno><idno type="wicri:Area/Pmc/Checkpoint">000001</idno><idno type="wicri:explorRef" wicri:stream="Pmc" wicri:step="Checkpoint">000001</idno><idno type="wicri:Area/Ncbi/Merge">004136</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en" level="a" type="main">新型冠状病毒SARS-CoV-2的变异和进化分析</title></analytic><series><title level="j">Journal of Southern Medical University</title><idno type="ISSN">1673-4254</idno><idno type="eISSN">2663-0842</idno><imprint><date when="2020">2020</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><sec><title>目的</title><p>分析新型冠状病毒SARS-CoV-2的进化、变异情况。</p></sec><sec><title>方法</title><p>从GISAID、NCBI中下载相关病毒全基因组序列，运用生物信息学软件MEGA-X、BEAST、TempEst等软件，构建基因组进化树，推测病毒的时间进化信号，计算病毒出现的tMRCA时间，分析病毒进化的选择压力。</p></sec><sec><title>结果</title><p>基因组进化树显示SARS-CoV-2与蝙蝠冠状病毒Beta CoV/bat/Yunnan/RaTG13/2013、bat-SL-CoVZC45、bat-SL-CoVZXC21和SARS-CoV等病毒共同构成冠状病毒β属的Sarbecovirus亚属。现在的病毒序列有微弱的时间进化信号，tMRCA平均时间为73 d，95%可信区间(38.9~119.3 d)，与BetaCoV/bat/Yunnan/RaTG13/2013病毒不具正性时间进化信号，与bat-SL-CoVZC45和SARS-CoV具有强的正性时间进化关系。病毒在流行期间存在变异，主要是净化选择压力。</p></sec><sec><title>结论</title><p>病毒SARS-CoV-2可能出现在2019年11月左右，来源于蝙蝠相关冠状病毒。结果将有助于研究病毒SARS-CoV-2的溯源、进化，对疾病进行正确防控具有指导意义。</p></sec></div></front></TEI><pmc article-type="research-article" xml:lang="zh"><pmc-comment>The publisher of this article does not allow downloading of the full text in XML form.</pmc-comment>
<front><journal-meta><journal-id journal-id-type="nlm-ta">Nan Fang Yi Ke Da Xue Xue Bao</journal-id><journal-id journal-id-type="iso-abbrev">Nan Fang Yi Ke Da Xue Xue Bao</journal-id><journal-id journal-id-type="publisher-id">NFYKDXXB</journal-id><journal-title-group><journal-title>Journal of Southern Medical University</journal-title></journal-title-group><issn pub-type="ppub">1673-4254</issn><issn pub-type="epub">2663-0842</issn><publisher><publisher-name>南方医科大学学报编辑部</publisher-name><publisher-loc>中国广东</publisher-loc></publisher></journal-meta><article-meta><article-id pub-id-type="pmc">7086142</article-id><article-id pub-id-type="publisher-id">nfykdxxb-40-2-152</article-id><article-id pub-id-type="doi">10.12122/j.issn.1673-4254.2020.02.02</article-id><article-categories><subj-group subj-group-type="heading"><subject>新型冠状病毒肺炎专题</subject></subj-group><subj-group subj-group-type="toc-heading" xml:lang="en"><subject>Covid-19</subject></subj-group></article-categories><title-group><article-title>新型冠状病毒SARS-CoV-2的变异和进化分析</article-title><trans-title-group xml:lang="en"><trans-title xml:lang="en">Analysis of variation and evolution of SARS-CoV-2 genome</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author"><name-alternatives><name name-style="eastern"><surname>周</surname><given-names>烨真</given-names></name><name xml:lang="en"><surname>ZHOU</surname><given-names>Yezhen</given-names></name></name-alternatives><email>1360855328@qq.com</email><xref ref-type="aff" rid="aff1"></xref><xref ref-type="bio" rid="d35e51">*</xref></contrib><contrib contrib-type="author"><name-alternatives><name name-style="eastern"><surname>张</surname><given-names>世豪</given-names></name><name xml:lang="en"><surname>ZHANG</surname><given-names>Shihao</given-names></name></name-alternatives><xref ref-type="aff" rid="aff1"></xref></contrib><contrib contrib-type="author"><name-alternatives><name name-style="eastern"><surname>陈</surname><given-names>嘉仪</given-names></name><name xml:lang="en"><surname>CHEN</surname><given-names>Jiayi</given-names></name></name-alternatives><xref ref-type="aff" rid="aff1"></xref></contrib><contrib contrib-type="author"><name-alternatives><name name-style="eastern"><surname>万</surname><given-names>成松</given-names></name><name xml:lang="en"><surname>WAN</surname><given-names>Chengsong</given-names></name></name-alternatives><xref ref-type="aff" rid="aff1"></xref></contrib><contrib contrib-type="author"><name-alternatives><name name-style="eastern"><surname>赵</surname><given-names>卫</given-names></name><name xml:lang="en"><surname>ZHAO</surname><given-names>Wei</given-names></name></name-alternatives><email>zhaowei@fimmu.com</email><xref ref-type="aff" rid="aff1"></xref><xref ref-type="corresp" rid="cor1">*</xref></contrib><contrib contrib-type="author"><name-alternatives><name name-style="eastern"><surname>张</surname><given-names>宝</given-names></name><name xml:lang="en"><surname>ZHANG</surname><given-names>Bao</given-names></name></name-alternatives><email>zhang20051005@126.com</email><xref ref-type="aff" rid="aff1"></xref><xref ref-type="corresp" rid="cor2">*</xref></contrib></contrib-group><aff id="aff1"><label></label><addr-line>南方医科大学公共卫生学院三级生物安全实验室，广东 广州 510515</addr-line><addr-line xml:lang="en">Biosafety Level-3 Laboratory, School of Public Health, Southern Medical University, Guangzhou 510515, China</addr-line></aff><author-notes><corresp id="cor1">赵卫，博士，教授，E-mail: <email>zhaowei@fimmu.com</email></corresp><corresp id="cor2">张宝，博士，教授，E-mail: <email>zhang20051005@126.com</email></corresp></author-notes><pub-date pub-type="ppub"><day>20</day><month>2</month><year>2020</year></pub-date><volume>40</volume><issue>2</issue><fpage>152</fpage><lpage>158</lpage><history><date date-type="received"><day>17</day><month>2</month><year>2020</year></date></history><permissions><copyright-statement>版权所有©《南方医科大学学报》编辑部2020</copyright-statement><copyright-statement xml:lang="en">Copyright ©2020 Journal of Southern Medical University. All rights reserved.</copyright-statement><copyright-year>2020</copyright-year></permissions><abstract><sec><title>目的</title><p>分析新型冠状病毒SARS-CoV-2的进化、变异情况。</p></sec><sec><title>方法</title><p>从GISAID、NCBI中下载相关病毒全基因组序列，运用生物信息学软件MEGA-X、BEAST、TempEst等软件，构建基因组进化树，推测病毒的时间进化信号，计算病毒出现的tMRCA时间，分析病毒进化的选择压力。</p></sec><sec><title>结果</title><p>基因组进化树显示SARS-CoV-2与蝙蝠冠状病毒Beta CoV/bat/Yunnan/RaTG13/2013、bat-SL-CoVZC45、bat-SL-CoVZXC21和SARS-CoV等病毒共同构成冠状病毒β属的Sarbecovirus亚属。现在的病毒序列有微弱的时间进化信号，tMRCA平均时间为73 d，95%可信区间(38.9~119.3 d)，与BetaCoV/bat/Yunnan/RaTG13/2013病毒不具正性时间进化信号，与bat-SL-CoVZC45和SARS-CoV具有强的正性时间进化关系。病毒在流行期间存在变异，主要是净化选择压力。</p></sec><sec><title>结论</title><p>病毒SARS-CoV-2可能出现在2019年11月左右，来源于蝙蝠相关冠状病毒。结果将有助于研究病毒SARS-CoV-2的溯源、进化，对疾病进行正确防控具有指导意义。</p></sec></abstract><trans-abstract xml:lang="en"><sec><title>Objective</title><p>To analyze the evolution and variation of SARS-CoV-2 during the epidemic starting at the end of 2019.</p></sec><sec><title>Methods</title><p>We downloaded the full-length genome sequence of SARS-CoV-2 from the databases of GISAID and NCBI. Using the software for bioinformatics including MEGA-X, BEAST, and TempEst, we constructed the genomic evolution tree, inferred the time evolution signal of the virus, calculated the tMRCA time of the virus and analyzed the selection pressure of the virus during evolution.</p></sec><sec><title>Results</title><p>The phylogenetic tree showed that SARS-CoV-2 belonged to the Sarbecovirus subgenus of β Coronavirus genus together with bat coronavirus BetaCoV/bat/Yunnan/RaTG13/2013, bat-SL-CoVZC45, bat-SL-CoVZXC21 and SARS-CoV. The genomic sequences of SARS-CoV-2 isolated from the ongoing epidemic showed a weak time evolution signal with an average tMRCA time of 73 days (95% CI: 38.9-119.3 days). No positive time evolution signal was found between SARS-CoV-2 and BetaCoV/bat/Yunnan/RaTG13/2013, but the former virus had a strong positive temporal evolution relationship with bat-SL-CoVZC45 and SARS-CoV. The major cause for mutations of SARS-CoV-2 was the pressure of purification selection during the epidemic.</p></sec><sec><title>Conclusion</title><p>SARS-CoV-2 may have emerged as early as November, 2019, originating most likely from bat-associated coronavirus. This finding may provide evidence for tracing the sources and evolution of the virus.</p></sec></trans-abstract><kwd-group kwd-group-type="author-created"><kwd>SARS-CoV-2</kwd><kwd>冠状病毒</kwd><kwd>进化</kwd><kwd>变异</kwd></kwd-group><kwd-group kwd-group-type="author-created" xml:lang="en"><kwd>SARS-CoV-2</kwd><kwd>coronavirus</kwd><kwd>evolution</kwd><kwd>mutation</kwd></kwd-group><funding-group><award-group><funding-source>国家自然科学基金</funding-source><award-id>31670168</award-id></award-group><award-group><funding-source>Supported by National Natural Science Foundation of China</funding-source><award-id>31670168</award-id></award-group><funding-statement>国家自然科学基金(31670168)</funding-statement><funding-statement>Supported by National Natural Science Foundation of China (31670168)</funding-statement></funding-group></article-meta></front></pmc><affiliations><list></list><tree></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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