ArticleMicroorganisms2025
Tracing Emergence of SARS-CoV-2 Variants: Insights from Comprehensive Assessment Using Reverse Transcription Polymerase Chain Reaction and Whole Genome Sequencing.
Article in Microorganisms, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed.
- Editorial for the Special Issue "New Knowledge in the Study of Coronaviruses: Towards One Health and Whole Genome Sequencing Approaches, 2nd Edition".Microorganisms · 2026Article
- Mathematical modeling of a MoSe₂-based SPR biosensor for detecting SARS-CoV-2 at nM concentrations.Frontiers in bioengineering and biotechnology · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The emergence and evolution of SARS-CoV-2 variants, such as Delta and Omicron, pose significant challenges to pandemic management. This study evaluated the effectiveness of reverse-transcription polymerase chain reaction (RT-PCR) and whole-genome sequencing (WGS) in detecting and characterizing SARS-CoV-2 variants using 624 samples collected in South Korea from mid-2021 to mid-2022. Two RT-PCR genotyping assays demonstrated a high concordance rate (90.4%) in identifying the Delta variant during its dominance. In contrast, WGS revealed extensive genetic diversity among Omicron sub-lineages, identifying 29 distinct sub-lineages, including two South Korea-specific variants (BA.1.1.5 and BA.2.3.8). Clustering analysis of WGS data highlighted distinct groupings of BA.1, BA.2, and BA.5 sub-lineages, with overlap in shared mutations suggesting evolutionary convergence. Sub-lineage diversity expanded during rapid transmission phases and subsequently consolidated as dominant lineages emerged. These findings highlight the complementary strengths of RT-PCR and WGS and underscore the importance of integrating these methodologies for effective variant monitoring and public health response.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.