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Differential Gene Expression and Transcriptomics Reveal High M‐Gene Expression in JN.1 and KP.1/2 Omicron Sub‐Variants of SARS‐CoV‐2: Implications for Developing More Sensitive Diagnostic Tests

ABSTRACT SARS‐CoV‐2, a positive‐strand RNA virus, utilizes both genomic replication and subgenomic mRNA transcription. Whole genome sequencing (WGS) from clinical samples can estimate viral gene expression levels. WGS was conducted on 529 SARS‐CoV‐2 positive clinical samples from Assam and northeast...

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Published in:Journal of medical virology 2024-11, Vol.96 (11), p.e70074-n/a
Main Authors: Siddique, Aktarul Islam, Sarmah, Neelanjana, Bali, Nargis K., Nausch, Norman, Borkakoty, Biswajyoti
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Sarmah, Neelanjana
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Nausch, Norman
Borkakoty, Biswajyoti
description ABSTRACT SARS‐CoV‐2, a positive‐strand RNA virus, utilizes both genomic replication and subgenomic mRNA transcription. Whole genome sequencing (WGS) from clinical samples can estimate viral gene expression levels. WGS was conducted on 529 SARS‐CoV‐2 positive clinical samples from Assam and northeastern India to track viral emergence and assess gene expression patterns. The results reveal differential expression across structural, non‐structural, and accessory genes, with notable upregulation of the M gene, especially in the Omicron variant, followed by E and ORF6. The mean transcript per million (TPM) expression levels of the M gene were significantly higher in Omicron variants (175 611 ± 46 921), peaking in the KP.1/KP.2 sublineage (220 493 ± 34 917), compared to the Delta variant (129 717 ± 33 773). The relative fold change of M gene expression between Delta and Omicron 2024 subvariants showed a 1.6‐fold change. Variant‐wise gene expression analysis suggests a correlation between gene expression and viral mutation, impacting replication. As anticipated, the expression levels of genes surge with the increase in the virus mutation. The Chi‐square trend for average substitution count versus average TPM of the M gene was highly significant (72.78., p 
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Whole genome sequencing (WGS) from clinical samples can estimate viral gene expression levels. WGS was conducted on 529 SARS‐CoV‐2 positive clinical samples from Assam and northeastern India to track viral emergence and assess gene expression patterns. The results reveal differential expression across structural, non‐structural, and accessory genes, with notable upregulation of the M gene, especially in the Omicron variant, followed by E and ORF6. The mean transcript per million (TPM) expression levels of the M gene were significantly higher in Omicron variants (175 611 ± 46 921), peaking in the KP.1/KP.2 sublineage (220 493 ± 34 917), compared to the Delta variant (129 717 ± 33 773). The relative fold change of M gene expression between Delta and Omicron 2024 subvariants showed a 1.6‐fold change. Variant‐wise gene expression analysis suggests a correlation between gene expression and viral mutation, impacting replication. As anticipated, the expression levels of genes surge with the increase in the virus mutation. The Chi‐square trend for average substitution count versus average TPM of the M gene was highly significant (72.78., p &lt; 0.0001). The M gene's high expression and low mutation rate make it an ideal target for designing a real‐time RT‐PCR kit assay. These findings highlight the need for continuous surveillance and understanding of viral gene expression dynamics for effective COVID‐19 management. 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subjects Adolescent
Adult
Aged
Child
COVID-19
COVID-19 - diagnosis
COVID-19 - virology
Female
FPKM
Gene expression
Gene Expression Regulation, Viral
Gene sequencing
Genes
Genome, Viral - genetics
Humans
India - epidemiology
M gene
Male
Middle Aged
Mutation
Mutation rates
Pathogenesis
Replication
RNA viruses
SARS-CoV-2 - genetics
SARS‐CoV‐2
Severe acute respiratory syndrome
Severe acute respiratory syndrome coronavirus 2
subgenomic discontinuous replication
subgenomic mRNA
TPM
Transcriptome
Transcriptomics
Viral diseases
Viruses
Whole Genome Sequencing
Young Adult
title Differential Gene Expression and Transcriptomics Reveal High M‐Gene Expression in JN.1 and KP.1/2 Omicron Sub‐Variants of SARS‐CoV‐2: Implications for Developing More Sensitive Diagnostic Tests
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