SARS-CoV-2 originated from SARS-CoV-1-related Bat-CoVs through Pan-CoVs rather than from SARS-CoV-2-related Bat-CoVs

This article has been Reviewed by the following groups

Read the full article See related articles

Abstract

The emergence of the novel SARS-CoV-2 in 2019 sparked a dispute concerning its origin. Here, we report that the SARS-CoV-2 originated through pangolin-coronavirus (Pan-CoVs) from the SARS-CoV-related-bat-coronaviruses (SARS-CoV-1-rB-CoVs) rather than from SARS-CoV-2-related-bat-coronaviruses (SARS-CoV-2-rB-CoVs), in contrast to the previous thought. Further, our analyses strongly suggest that the Pan-CoVs evolved from the SARS-CoV-1-rB-CoVs without recombination. Further, our results suggest that the SARS-CoV-1-rB-CoVs’ perhaps jumped into the pangolin, which forced the viruses to mutate and adapt to the new host, and resulted in the origin of Pan-CoVs. Surprisingly, the Pan-CoVs formed an evolutionary intermediate between SARS-CoV-2 and SARS-CoV-2-rB-CoVs at the spike gene. Our findings also suggest that the Pan-CoV/GX and Pan-CoV/Guangdong lineages recombined to form the SARS-CoV-2 spike gene. We also found evidence that the SARS-CoV-2-rB-CoVs spike gene evolved via recombination between Pan-CoV/Guangdong and SARS-CoV-1-rB-CoVs. Overall, our findings suggest that the SARS-CoV-2 emerged from SARS-CoV-1-rB-CoVs through host jumping.

Article activity feed

  1. SciScore for 10.1101/2021.09.06.459210: (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
    II. Net Between Group Mean Distance (NBGMD) analysis: The NBGMD were measured using MEGA7 tool and the Kimura 2-parameter model, with a gamma distribution (shape parameter=5) used as a model to measure rate variation among sites, a bootstrap test (1000 replicates) was used to estimate the Standard error and all ambiguous sites for each sequence pair were removed from the analysis.
    MEGA7
    suggested: None
    SimPlot analysis: SimPlot 3.5.1 was used to calculate the percent identity between the query and reference sequences.
    SimPlot
    suggested: None

    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.

    Results from scite Reference Check: We found no unreliable references.


    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.