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Statistical analysis supports UTR (untranslated region) deletion theory in SARS-CoV-2

It was noticed that the mortality rate of SARS-CoV-2 infection experienced a significant declination in the early stage of the epidemic. We suspect that the sharp deterioration of virus toxicity is related to the deletion of the untranslated region (UTR) of the virus genome. It was found that the ge...

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Autores principales: Xu, Zhaobin, Yang, Dongying, Wang, Liyan, Demongeot, Jacques
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Taylor & Francis 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9553139/
https://www.ncbi.nlm.nih.gov/pubmed/36217240
http://dx.doi.org/10.1080/21505594.2022.2132059
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author Xu, Zhaobin
Yang, Dongying
Wang, Liyan
Demongeot, Jacques
author_facet Xu, Zhaobin
Yang, Dongying
Wang, Liyan
Demongeot, Jacques
author_sort Xu, Zhaobin
collection PubMed
description It was noticed that the mortality rate of SARS-CoV-2 infection experienced a significant declination in the early stage of the epidemic. We suspect that the sharp deterioration of virus toxicity is related to the deletion of the untranslated region (UTR) of the virus genome. It was found that the genome length of SARS-CoV-2 engaged a significant truncation due to UTR deletion after a mega-sequence analysis. Sequence similarity analysis further indicated that short UTR strains originated from its long UTR ancestors after an irreversible deletion. A good correlation was discovered between genome length and mortality, which demonstrated that the deletion of the virus UTR significantly affected the toxicity of the virus. This correlation was further confirmed in a significance analysis of the genetic influence on the clinical outcomes. The viral genome length of hospitalized patients was significantly more extensive than that of asymptomatic patients. In contrast, the viral genome length of asymptomatic was considerably longer than that of ordinary patients with symptoms. A genome-level mutation scanning was performed to systematically evaluate the influence of mutations at each position on virulence. The results indicated that UTR deletion was the primary driving force in alternating virus virulence in the early evolution. In the end, we proposed a mathematical model to explain why this UTR deletion was not continuous.
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spelling pubmed-95531392022-10-12 Statistical analysis supports UTR (untranslated region) deletion theory in SARS-CoV-2 Xu, Zhaobin Yang, Dongying Wang, Liyan Demongeot, Jacques Virulence Research Paper It was noticed that the mortality rate of SARS-CoV-2 infection experienced a significant declination in the early stage of the epidemic. We suspect that the sharp deterioration of virus toxicity is related to the deletion of the untranslated region (UTR) of the virus genome. It was found that the genome length of SARS-CoV-2 engaged a significant truncation due to UTR deletion after a mega-sequence analysis. Sequence similarity analysis further indicated that short UTR strains originated from its long UTR ancestors after an irreversible deletion. A good correlation was discovered between genome length and mortality, which demonstrated that the deletion of the virus UTR significantly affected the toxicity of the virus. This correlation was further confirmed in a significance analysis of the genetic influence on the clinical outcomes. The viral genome length of hospitalized patients was significantly more extensive than that of asymptomatic patients. In contrast, the viral genome length of asymptomatic was considerably longer than that of ordinary patients with symptoms. A genome-level mutation scanning was performed to systematically evaluate the influence of mutations at each position on virulence. The results indicated that UTR deletion was the primary driving force in alternating virus virulence in the early evolution. In the end, we proposed a mathematical model to explain why this UTR deletion was not continuous. Taylor & Francis 2022-10-10 /pmc/articles/PMC9553139/ /pubmed/36217240 http://dx.doi.org/10.1080/21505594.2022.2132059 Text en © 2022 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Paper
Xu, Zhaobin
Yang, Dongying
Wang, Liyan
Demongeot, Jacques
Statistical analysis supports UTR (untranslated region) deletion theory in SARS-CoV-2
title Statistical analysis supports UTR (untranslated region) deletion theory in SARS-CoV-2
title_full Statistical analysis supports UTR (untranslated region) deletion theory in SARS-CoV-2
title_fullStr Statistical analysis supports UTR (untranslated region) deletion theory in SARS-CoV-2
title_full_unstemmed Statistical analysis supports UTR (untranslated region) deletion theory in SARS-CoV-2
title_short Statistical analysis supports UTR (untranslated region) deletion theory in SARS-CoV-2
title_sort statistical analysis supports utr (untranslated region) deletion theory in sars-cov-2
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9553139/
https://www.ncbi.nlm.nih.gov/pubmed/36217240
http://dx.doi.org/10.1080/21505594.2022.2132059
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