Detection of SARS-CoV-2 N501Y mutation by RT-PCR to identify the UK and the South African strains in the population of South Indian state of Telangana

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Abstract

Objective

To detect N501Y mutation of the SARS-CoV-2 spike protein by RT-PCR to distinguish (B.1.1.7) UK and (501Y.V2) South African strains from others in the population of Telangana and to determine its clinical implications.

Methods

A primer-probe mix that specifically detects the mutated N501Y strain by real time RT-PCR was designed. 93 samples that were reported positive for COVID-19 by our laboratory in the month of February 2021 were tested using our own primer-probe mix for the presence of N501Y by RT-PCR. The results of RT-PCR were validated by Sanger sequencing in representative samples. Sanger sequencing of other defining spike mutations of B.1.1.7 (del 69-70, del 144, N501Y, A570D, D614G, P681H, T716I, S982A and D1118H) and 501Y.V2 (K417N, E484K, N501Y and D614G) was also investigated.

Findings

Out of 93 COVID-19 positive samples, 12 samples are detected positive for N501Y by RT-PCR. Sanger sequencing of these 12 samples further confirmed the presence of N501Y and other mutations that are characteristic of UK strain (B.1.1.7). The South African strain (501Y.V2) is not detected in any of our samples in this study. But, the E484K mutation that is characteristic of 501Y.V2 is detected in one N501Y negative sample.

Conclusion

Strain-specific RT-PCR for N501Y was developed and validated with Sanger sequencing. Such strategy facilitates quick surveillance for more transmissible and more vaccine resistant strains.

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  1. SciScore for 10.1101/2021.03.27.21254107: (What is this?)

    Please note, not all rigor criteria are appropriate for all manuscripts.

    Table 1: Rigor

    Institutional Review Board Statementnot detected.
    RandomizationAmong these, 93 Viral RNA templates that tested positive for SARS-CoV-2 were randomly selected and saved.
    Blindingnot detected.
    Power Analysisnot detected.
    Sex as a biological variablenot detected.

    Table 2: Resources

    No key resources detected.


    Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).


    Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.

    Results from TrialIdentifier: No clinical trial numbers were referenced.


    Results from Barzooka: We did not find any issues relating to the usage of bar graphs.


    Results from JetFighter: We did not find any issues relating to colormaps.


    Results from rtransparent:
    • Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
    • Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
    • No protocol registration statement was detected.

    About SciScore

    SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.