Real-time RT-PCR Allelic Discrimination Assay for Detection of N501Y Mutation in the Spike Protein of SARS-CoV-2 Associated with Variants of Concern
Bibliographic record
Abstract
Abstract The N501Y amino acid mutation caused by a single point substitution A23063T in the spike gene of SARS-CoV2 is possessed by the three most common variants of concern - B.1.1.7, B.1.351, and P.1. A rapid screening tool using this mutation is important for surveillance during the COVID-19 pandemic. We developed and validated a single nucleotide polymorphism real-time reverse transcription polymerase chain reaction assay using allelic discrimination of the spike gene N501Ymutation to screen for potential variants of concern and differentiate them from wild-type SARS-CoV-2. A total of 160 clinical specimens positive for SARS-CoV-2 were characterized as mutant (N501Y) or wild-type by Sanger sequencing and were subsequently tested with the N501Y single nucleotide polymorphism real time reverse transcriptase polymerase chain reaction assay. Our assay compared to sequencing, the gold standard for SNP detection and lineage identification, demonstrated clinical sensitivity of 100% for all 57 specimens displaying N501Y mutant, which were confirmed by Sanger sequencing to be typed as A23063T, including one specimen with mixed signal for wildtype and mutant. Clinical specificity was 100% in all 103 specimens typed as wild-type, with A23063 identified as wild-type by Sanger sequencing. The identification of circulating SARS-CoV-2 lineages carrying an N501Y mutation is critical for surveillance purposes. Current identification methods rely primarily on Sanger sequencing or whole genome sequencing which are time-consuming, labor-intensive and costly. The assay described herein is an efficient tool for high-volume specimen screening for SARS-CoV-2 VOCs and for selecting specimens for confirmatory Sanger or whole genome sequencing.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".