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Mutational patterns correlate with genome organization in SARS and other coronaviruses
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...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Ltd.
2004
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7127256/ https://www.ncbi.nlm.nih.gov/pubmed/15049309 http://dx.doi.org/10.1016/j.tig.2004.01.009 |
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author | Grigoriev, Andrei |
author_facet | Grigoriev, Andrei |
author_sort | Grigoriev, Andrei |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-7127256 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2004 |
publisher | Elsevier Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-71272562020-04-08 Mutational patterns correlate with genome organization in SARS and other coronaviruses Grigoriev, Andrei Trends Genet Article 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. Elsevier Ltd. 2004-03 2004-02-19 /pmc/articles/PMC7127256/ /pubmed/15049309 http://dx.doi.org/10.1016/j.tig.2004.01.009 Text en Copyright © 2004 Elsevier Ltd. All rights reserved. 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. |
spellingShingle | Article Grigoriev, Andrei Mutational patterns correlate with genome organization in SARS and other coronaviruses |
title | Mutational patterns correlate with genome organization in SARS and other coronaviruses |
title_full | Mutational patterns correlate with genome organization in SARS and other coronaviruses |
title_fullStr | Mutational patterns correlate with genome organization in SARS and other coronaviruses |
title_full_unstemmed | Mutational patterns correlate with genome organization in SARS and other coronaviruses |
title_short | Mutational patterns correlate with genome organization in SARS and other coronaviruses |
title_sort | mutational patterns correlate with genome organization in sars and other coronaviruses |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7127256/ https://www.ncbi.nlm.nih.gov/pubmed/15049309 http://dx.doi.org/10.1016/j.tig.2004.01.009 |
work_keys_str_mv | AT grigorievandrei mutationalpatternscorrelatewithgenomeorganizationinsarsandothercoronaviruses |