tetano
Editor, Senior Moderator
EBioMedicine
. 2023 Jun 20;93:104669.
doi: 10.1016/j.ebiom.2023.104669. Online ahead of print. 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
Man-Hung Eric Tang[SUP] 1 [/SUP], Kim Lee Ng[SUP] 1 [/SUP], Sofie Marie Edslev[SUP] 1 [/SUP], Kirsten Ellegaard[SUP] 1 [/SUP]; Danish COVID-19 Genomics Consortium (DCGC); Marc Stegger[SUP] 1 [/SUP], Soren Alexandersen[SUP] 2 [/SUP]
Affiliations
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.
Keywords: Alpha; Association analysis; Delta; Omicron; SARS-CoV-2; Subgenomic RNA.
. 2023 Jun 20;93:104669.
doi: 10.1016/j.ebiom.2023.104669. Online ahead of print. 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
Man-Hung Eric Tang[SUP] 1 [/SUP], Kim Lee Ng[SUP] 1 [/SUP], Sofie Marie Edslev[SUP] 1 [/SUP], Kirsten Ellegaard[SUP] 1 [/SUP]; Danish COVID-19 Genomics Consortium (DCGC); Marc Stegger[SUP] 1 [/SUP], Soren Alexandersen[SUP] 2 [/SUP]
Affiliations
- PMID: 37348163
- DOI: 10.1016/j.ebiom.2023.104669
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.
Keywords: Alpha; Association analysis; Delta; Omicron; SARS-CoV-2; Subgenomic RNA.