Mutational patterns correlate with genome organization in SARS and other coronaviruses
Identifieur interne : 001896 ( Pmc/Curation ); précédent : 001895; suivant : 001897Mutational patterns correlate with genome organization in SARS and other coronaviruses
Auteurs : Andrei GrigorievSource :
- Trends in Genetics [ 0168-9525 ] ; 2004.
Abstract
Focused efforts by several international laboratories have resulted in the sequencing of the genome of the causative agent of severe acute respiratory syndrome (SARS), novel coronavirus SARS-CoV, in record time. Using cumulative skew diagrams, I found that mutational patterns in the SARS-CoV genome were strikingly different from other coronaviruses in terms of mutation rates, although they were in general agreement with the model of the coronavirus lifecycle. These findings might be relevant for the development of sequence-based diagnostics and the design of agents to treat SARS.
Url:
DOI: 10.1016/j.tig.2004.01.009
PubMed: 15049309
PubMed Central: 7127256
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Using cumulative skew diagrams, I found that mutational patterns in the SARS-CoV genome were strikingly different from other coronaviruses in terms of mutation rates, although they were in general agreement with the model of the coronavirus lifecycle. These findings might be relevant for the development of sequence-based diagnostics and the design of agents to treat SARS.</p></div></front><back><div1 type="bibliography"><listBibl><biblStruct><analytic><author><name sortKey="Grigoriev, A" uniqKey="Grigoriev A">A. Grigoriev</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Beletskii, A" uniqKey="Beletskii A">A. Beletskii</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Berkhout, B" uniqKey="Berkhout B">B. Berkhout</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Rota, P A" uniqKey="Rota P">P.A. 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<front><journal-meta><journal-id journal-id-type="nlm-ta">Trends Genet</journal-id><journal-id journal-id-type="iso-abbrev">Trends Genet</journal-id><journal-title-group><journal-title>Trends in Genetics</journal-title></journal-title-group><issn pub-type="ppub">0168-9525</issn><issn pub-type="epub">0168-9525</issn><publisher><publisher-name>Elsevier Ltd.</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="pmid">15049309</article-id><article-id pub-id-type="pmc">7127256</article-id><article-id pub-id-type="publisher-id">S0168-9525(04)00024-1</article-id><article-id pub-id-type="doi">10.1016/j.tig.2004.01.009</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title-group><article-title>Mutational patterns correlate with genome organization in SARS and other coronaviruses</article-title></title-group><contrib-group><contrib contrib-type="author"><name><surname>Grigoriev</surname><given-names>Andrei</given-names></name><email>andrei.grigoriev@gpc-biotech.com</email></contrib></contrib-group><aff>GPC Biotech, Fraunhoferstr. 20, Martinsried 82152, Germany</aff><pub-date pub-type="pmc-release"><day>19</day><month>2</month><year>2004</year></pub-date><pmc-comment> PMC Release delay is 0 months and 0 days and was based on .</pmc-comment>
<pub-date pub-type="ppub"><month>3</month><year>2004</year></pub-date><pub-date pub-type="epub"><day>19</day><month>2</month><year>2004</year></pub-date><volume>20</volume><issue>3</issue><fpage>131</fpage><lpage>135</lpage><permissions><copyright-statement>Copyright © 2004 Elsevier Ltd. All rights reserved.</copyright-statement><copyright-year>2004</copyright-year><copyright-holder>Elsevier Ltd</copyright-holder><license><license-p>Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.</license-p></license></permissions><abstract><p>Focused efforts by several international laboratories have resulted in the sequencing of the genome of the causative agent of severe acute respiratory syndrome (SARS), novel coronavirus SARS-CoV, in record time. Using cumulative skew diagrams, I found that mutational patterns in the SARS-CoV genome were strikingly different from other coronaviruses in terms of mutation rates, although they were in general agreement with the model of the coronavirus lifecycle. These findings might be relevant for the development of sequence-based diagnostics and the design of agents to treat SARS.</p></abstract></article-meta></front></pmc></record>Pour manipuler ce document sous Unix (Dilib)
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