Spike protein mutational landscape in India during the complete lockdown phase: Could Muller's ratchet be a future game-changer for COVID-19?

  1. Rachana Banerjee
  2. Kausik Basak
  3. Anamika Ghosh
  4. Vyshakh Rajachandran
  5. Kamakshi Sureka
  6. Debabani Ganguly
  7. Sujay Chattopadhyay

Reviewed by

Read the full article See related articles

Discuss this preprint

Start a discussion What are Sciety discussions?

Listed in

Log in to save this article

Abstract

No abstract available

Article activity feed

  1. Version published to 10.1016/j.meegid.2021.104874
  2. ScreenIT

    SciScore for 10.1101/2020.08.18.255570: (What is this?)

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

    Table 1: Rigor

    NIH rigor criteria are not applicable to paper type.

    Table 2: Resources

    Software and Algorithms
    SentencesResources
    Analysis of sequence diversity and reconstruction of phylogeny: The average pairwise nucleotide diversity (π) and the rates of synonymous (dS) and nonsynonymous (dN) mutations for the spike protein-coding genes were calculated using MEGA version X [23].
    MEGA
    suggested: (Mega BLAST, RRID:SCR_011920)
    These 3577 spike protein sequences were aligned using ClustalW program [27, 28].
    ClustalW
    suggested: (ClustalW, RRID:SCR_017277)

    Results from OddPub: Thank you for sharing your data.

    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.
    • No funding statement was detected.
    • 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.

  3. Version published to 10.1101/2020.08.18.255570 on bioRxiv