Progressing adaptation of SARS-CoV-2 to humans

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Abstract

The second and subsequent waves of coronavirus disease 2019 (COVID-19) have caused problems worldwide 1 . Here, using an objective analytical method 2 , we present the changes that occurred in the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the causative virus of COVID-19, over time. The virus has mutated in three major directions, resulting in three groups to date. Analysis of the basic structure of the group of viruses was completed by April and shared across all continents. However, the virus continued to mutate independently in each country after the borders were closed. In particular, the virus mutated before the occurrence of the second and subsequent peaks. It seems that the mutations conferred higher infectivity to the virus, because of which the virus overcame previously effective protection and caused second waves of the disease. Currently, each country may possess such a unique, stronger variant. Some of them slowly entered other countries and caused epidemics. These viruses could also serve as sources of further mutations by exchanging parts of the genome, which could create variants with superior infectivity.

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  1. SciScore for 10.1101/2020.12.18.413344: (What is this?)

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

    Table 1: Rigor

    Institutional Review Board Statementnot detected.
    Randomizationnot detected.
    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.
    • 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.