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Comparative subgenomic mRNA profiles of SARS-CoV-2 Alpha, Delta and Omicron BA.1, BA.2 and BA.5 sub-lineages using Danish COVID-19 genomic surveillance data

BACKGROUND: Severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) has rapidly spread worldwide in the population since it was first detected in late 2019. The transcription and replication of coronaviruses, although not fully understood, is characterised by the production of genomic length RN...

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Autores principales: Tang, Man-Hung Eric, Ng, Kim Lee, Edslev, Sofie Marie, Ellegaard, Kirsten, Stegger, Marc, Alexandersen, Soren
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10281627/
https://www.ncbi.nlm.nih.gov/pubmed/37348163
http://dx.doi.org/10.1016/j.ebiom.2023.104669
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author Tang, Man-Hung Eric
Ng, Kim Lee
Edslev, Sofie Marie
Ellegaard, Kirsten
Stegger, Marc
Alexandersen, Soren
author_facet Tang, Man-Hung Eric
Ng, Kim Lee
Edslev, Sofie Marie
Ellegaard, Kirsten
Stegger, Marc
Alexandersen, Soren
author_sort Tang, Man-Hung Eric
collection PubMed
description BACKGROUND: Severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) has rapidly spread worldwide in the population since it was first detected in late 2019. The transcription and replication of coronaviruses, although not fully understood, is characterised by the production of genomic length RNA and shorter subgenomic RNAs to make viral proteins and ultimately progeny virions. Observed levels of subgenomic RNAs differ between sub-lineages and open reading frames but their biological significance is presently unclear. METHODS: Using a large and diverse panel of virus sequencing data produced as part of the Danish COVID-19 routine surveillance together with information in electronic health registries, we assessed the association of subgenomic RNA levels with demographic and clinical variables of the infected individuals. FINDINGS: Our findings suggest no significant statistical relationship between levels of subgenomic RNAs and host-related factors. INTERPRETATION: Differences between lineages and subgenomic ORFs may be related to differences in target cell tropism, early virus replication/transcription kinetics or sequence features. FUNDING: The author(s) received no specific funding for this work.
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spelling pubmed-102816272023-06-21 Comparative subgenomic mRNA profiles of SARS-CoV-2 Alpha, Delta and Omicron BA.1, BA.2 and BA.5 sub-lineages using Danish COVID-19 genomic surveillance data Tang, Man-Hung Eric Ng, Kim Lee Edslev, Sofie Marie Ellegaard, Kirsten Stegger, Marc Alexandersen, Soren eBioMedicine Articles BACKGROUND: Severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) has rapidly spread worldwide in the population since it was first detected in late 2019. The transcription and replication of coronaviruses, although not fully understood, is characterised by the production of genomic length RNA and shorter subgenomic RNAs to make viral proteins and ultimately progeny virions. Observed levels of subgenomic RNAs differ between sub-lineages and open reading frames but their biological significance is presently unclear. METHODS: Using a large and diverse panel of virus sequencing data produced as part of the Danish COVID-19 routine surveillance together with information in electronic health registries, we assessed the association of subgenomic RNA levels with demographic and clinical variables of the infected individuals. FINDINGS: Our findings suggest no significant statistical relationship between levels of subgenomic RNAs and host-related factors. INTERPRETATION: Differences between lineages and subgenomic ORFs may be related to differences in target cell tropism, early virus replication/transcription kinetics or sequence features. FUNDING: The author(s) received no specific funding for this work. Elsevier 2023-06-20 /pmc/articles/PMC10281627/ /pubmed/37348163 http://dx.doi.org/10.1016/j.ebiom.2023.104669 Text en © 2023 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Articles
Tang, Man-Hung Eric
Ng, Kim Lee
Edslev, Sofie Marie
Ellegaard, Kirsten
Stegger, Marc
Alexandersen, Soren
Comparative subgenomic mRNA profiles of SARS-CoV-2 Alpha, Delta and Omicron BA.1, BA.2 and BA.5 sub-lineages using Danish COVID-19 genomic surveillance data
title Comparative subgenomic mRNA profiles of SARS-CoV-2 Alpha, Delta and Omicron BA.1, BA.2 and BA.5 sub-lineages using Danish COVID-19 genomic surveillance data
title_full Comparative subgenomic mRNA profiles of SARS-CoV-2 Alpha, Delta and Omicron BA.1, BA.2 and BA.5 sub-lineages using Danish COVID-19 genomic surveillance data
title_fullStr Comparative subgenomic mRNA profiles of SARS-CoV-2 Alpha, Delta and Omicron BA.1, BA.2 and BA.5 sub-lineages using Danish COVID-19 genomic surveillance data
title_full_unstemmed Comparative subgenomic mRNA profiles of SARS-CoV-2 Alpha, Delta and Omicron BA.1, BA.2 and BA.5 sub-lineages using Danish COVID-19 genomic surveillance data
title_short Comparative subgenomic mRNA profiles of SARS-CoV-2 Alpha, Delta and Omicron BA.1, BA.2 and BA.5 sub-lineages using Danish COVID-19 genomic surveillance data
title_sort comparative subgenomic mrna profiles of sars-cov-2 alpha, delta and omicron ba.1, ba.2 and ba.5 sub-lineages using danish covid-19 genomic surveillance data
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10281627/
https://www.ncbi.nlm.nih.gov/pubmed/37348163
http://dx.doi.org/10.1016/j.ebiom.2023.104669
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