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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 < 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. Further studies are necessary to elucidate the significance of these observations in viral pathogenesis and transmission dynamics., (© 2024 Wiley Periodicals LLC.)

From March to June 2021, India experienced a deadly second wave of COVID-19, with an increased number of post-vaccination breakthrough infections reported across the country. To understand the possible reason for these breakthroughs, we collected 677 clinical samples (throat swab/nasal swabs) of individuals from 17 states/Union Territories of the country who had received two doses ( n = 592) and one dose ( n = 85) of vaccines and tested positive for COVID-19. These cases were telephonically interviewed and clinical data were analyzed. A total of 511 SARS-CoV-2 genomes were recovered with genome coverage of higher than 98% from both groups. Analysis of both groups determined that 86.69% ( n = 443) of them belonged to the Delta variant, along with Alpha, Kappa, Delta AY.1, and Delta AY.2. The Delta variant clustered into four distinct sub-lineages. Sub-lineage I had mutations in ORF1ab A1306S, P2046L, P2287S, V2930L, T3255I, T3446A, G5063S, P5401L, and A6319V, and in N G215C; Sub-lineage II had mutations in ORF1ab P309L, A3209V, V3718A, G5063S, P5401L, and ORF7a L116F; Sub-lineage III had mutations in ORF1ab A3209V, V3718A, T3750I, G5063S, and P5401L and in spike A222V; Sub-lineage IV had mutations in ORF1ab P309L, D2980N, and F3138S and spike K77T. This study indicates that majority of the breakthrough COVID-19 clinical cases were infected with the Delta variant, and only 9.8% cases required hospitalization, while fatality was observed in only 0.4% cases. This clearly suggests that the vaccination does provide reduction in hospital admission and mortality.

The number of Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2) cases is increasing in India. This study looks upon the geographic distribution of the virus clades and variants circulating in different parts of India between January and August 2020. The NPS/OPS from representative positive cases from different states and union territories in India were collected every month through the VRDLs in the country and analyzed using next-generation sequencing. Epidemiological analysis of the 689 SARS-CoV-2 clinical samples revealed GH and GR to be the predominant clades circulating in different states in India. The northern part of India largely reported the 'GH' clade, whereas the southern part reported the 'GR', with a few exceptions. These sequences also revealed the presence of single independent mutations-E484Q and N440K-from Maharashtra (first observed in March 2020) and Southern Indian States (first observed in May 2020), respectively. Furthermore, this study indicates that the SARS-CoV-2 variant (VOC, VUI, variant of high consequence and double mutant) was not observed during the early phase of virus transmission (January-August). This increased number of variations observed within a short timeframe across the globe suggests virus evolution, which can be a step towards enhanced host adaptation.

During the current pandemic of COVID-19, the authors observed that during screening test for SARS-CoV-2 targeting the E-gene by qRT-PCR, few nasopharyngeal/oropharyngeal samples showed amplification signals at late cycle threshold (C T -value) > 35 despite being negative for other confirmatory target genes. Thirty such samples (taken as cases) showing detectable C T of > 35 cycle in E-gene which were negative for other target genes of SARS-CoV-2 and 30 samples with undetectable fluorescence in E-gene were taken as controls for investigation. An in-vitro diagnostic approved commercial qRT-PCR multiplex kit detecting 33 respiratory pathogens which can also detect Haemophilus influenzae was used for screening the samples. It was observed that out of the 30 samples showing detectable C T > 35 in E-gene, 11 samples were positive for Haemophilus influenzae whereas in the controls only three samples were positive for H. influenzae (p-value: 0.03) which was statistically significant. Further, the probes and primers were screened against H. influenzae for matches in the genome. It was observed that all primers and probes for the E-gene of SARS-CoV-2 had over 13 bp long sequences matching 100% with multiple sites across the H. influenzae genome. This qRT-PCR primer & probes are being used extensively across India, and laboratories using them should be aware of the cross-reactivity of primers & probes with the H. influenzae genome. Further, the authors observed that 95.9% (5415/5642) of COVID-19 positive cases detected in their laboratory were asymptomatic at the time of collection of samples. This warrants further investigations., Competing Interests: Declaration of competing interest None. On behalf of both the authors, the corresponding & the lead author declare that there is no conflict of interest related to the submitted manuscript., (Copyright © 2021 Indian Association of Medical Microbiologists. Published by Elsevier B.V. All rights reserved.)

Background: In the initial few months of the COVID-19 pandemic, two distinct strains of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) were identified (L and S strain) based on a tightly linked SNP between two widely separated nucleotides at location 8782 (ORF1ab T8517C) and position 28,144 (ORF8: C251T, codon S84L)., Materials and Methods: A Type Specific Primer based one step RT-PCR (TSP-PCR) test to distinguish the L and S type strains of SARS-CoV-2 without the need for viral genome sequencing, was developed. The study also analyzed 18,221 whole genome sequences (WGS) available up to April 2020 to know the prevalence of L and S type of strains. Phylogenetic and recombination analysis of SARS-CoV-2 genome with nearest animal and human coronaviruses were analyzed using MEGA X and SimPlot version 3.5.1 software respectively., Results: The rapid TSP-PCR distinguished the L and S type strains of SARS-CoV-2 by amplifying a specific 326 bp and 256 bp fragment of the L and S type strain respectively. The test was used to analyzed 120 random SARS-CoV-2 positive samples from Assam, India among which 118 were found to be of L-type strains only. On analysis of 18,221 WGS, it was found that L type was the predominant strain with an overall prevalence ∼90%. However, pockets of high prevalence of S-type strains (>35%) were still in circulation in Washington region in April 2020. The study did not detect any significant recombination events between closely related coronavirus and SARS-CoV-2., Conclusion: TSP-based PCR for identification of circulating strains of SARS-CoV-2, will add in rapid identification of strains of COVID-19 pandemic to understand the spread of the virus, its transmissibility and adaptation into human population. Though, the S-type strains have decreased drastically across the globe since April 2020, the role of TSP-PCR in geographical niches where such strains are still prevalent may help in rapidly distinguishing the strains and study its evolution., Competing Interests: Declaration of competing interest None. On behalf of both the authors, the corresponding & the lead author declare that there is no conflict of interest related to the submitted manuscript., (Copyright © 2021 Indian Association of Medical Microbiologists. Published by Elsevier B.V. All rights reserved.)