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Phylogenomics and bioinformatics of SARS-CoV

Tracing the history of molecular changes in coronaviruses using phylogenetic methods can provide powerful insights into the patterns of modification to sequences that underlie alteration to selective pressure and molecular function in the SARS-CoV (severe acute respiratory syndrome coronavirus) geno...

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Detalles Bibliográficos
Autores principales: Liò, Pietro, Goldman, Nick
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd. 2004
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7119090/
https://www.ncbi.nlm.nih.gov/pubmed/15058277
http://dx.doi.org/10.1016/j.tim.2004.01.005
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author Liò, Pietro
Goldman, Nick
author_facet Liò, Pietro
Goldman, Nick
author_sort Liò, Pietro
collection PubMed
description Tracing the history of molecular changes in coronaviruses using phylogenetic methods can provide powerful insights into the patterns of modification to sequences that underlie alteration to selective pressure and molecular function in the SARS-CoV (severe acute respiratory syndrome coronavirus) genome. The topology and branch lengths of the phylogenetic relationships among the family Coronaviridae, including SARS-CoV, have been estimated using the replicase polyprotein. The spike protein fragments S1 (involved in receptor-binding) and S2 (involved in membrane fusion) have been found to have different mutation rates. Fragment S1 can be further divided into two regions (S1A, which comprises approximately the first 400 nucleotides, and S1B, comprising the next 280) that also show different rates of mutation. The phylogeny presented on the basis of S1B shows that SARS-CoV is closely related to MHV (murine hepatitis virus), which is known to bind the murine receptor CEACAM1. The predicted structure, accessibility and mutation rate of the S1B region is also presented. Because anti-SARS drugs based on S2 heptads have short half-lives and are difficult to manufacture, our findings suggest that the S1B region might be of interest for anti-SARS drug discovery.
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spelling pubmed-71190902020-04-03 Phylogenomics and bioinformatics of SARS-CoV Liò, Pietro Goldman, Nick Trends Microbiol Genome Analysis Tracing the history of molecular changes in coronaviruses using phylogenetic methods can provide powerful insights into the patterns of modification to sequences that underlie alteration to selective pressure and molecular function in the SARS-CoV (severe acute respiratory syndrome coronavirus) genome. The topology and branch lengths of the phylogenetic relationships among the family Coronaviridae, including SARS-CoV, have been estimated using the replicase polyprotein. The spike protein fragments S1 (involved in receptor-binding) and S2 (involved in membrane fusion) have been found to have different mutation rates. Fragment S1 can be further divided into two regions (S1A, which comprises approximately the first 400 nucleotides, and S1B, comprising the next 280) that also show different rates of mutation. The phylogeny presented on the basis of S1B shows that SARS-CoV is closely related to MHV (murine hepatitis virus), which is known to bind the murine receptor CEACAM1. The predicted structure, accessibility and mutation rate of the S1B region is also presented. Because anti-SARS drugs based on S2 heptads have short half-lives and are difficult to manufacture, our findings suggest that the S1B region might be of interest for anti-SARS drug discovery. Elsevier Ltd. 2004-03 2004-02-04 /pmc/articles/PMC7119090/ /pubmed/15058277 http://dx.doi.org/10.1016/j.tim.2004.01.005 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 Genome Analysis
Liò, Pietro
Goldman, Nick
Phylogenomics and bioinformatics of SARS-CoV
title Phylogenomics and bioinformatics of SARS-CoV
title_full Phylogenomics and bioinformatics of SARS-CoV
title_fullStr Phylogenomics and bioinformatics of SARS-CoV
title_full_unstemmed Phylogenomics and bioinformatics of SARS-CoV
title_short Phylogenomics and bioinformatics of SARS-CoV
title_sort phylogenomics and bioinformatics of sars-cov
topic Genome Analysis
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7119090/
https://www.ncbi.nlm.nih.gov/pubmed/15058277
http://dx.doi.org/10.1016/j.tim.2004.01.005
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