Identification of a Novel SARS-CoV-2 Delta-Omicron Recombinant Virus in the United States

  1. Kristine A. Lacek
  2. Benjamin L. Rambo-Martin
  3. Dhwani Batra
  4. Xiao-yu Zheng
  5. Hitoshi Sakaguchi
  6. Thomas Peacock
  7. Matthew Keller
  8. Malania M. Wilson
  9. Mili Sheth
  10. Morgan L. Davis
  11. Mark Borroughs
  12. Jonathan Gerhart
  13. Norman Hassell
  14. Samuel S. Shepard
  15. Peter W. Cook
  16. Justin Lee
  17. David E. Wentworth
  18. John R. Barnes
  19. Rebecca Kondor
  20. Clinton R. Paden

Reviewed by

Read the full article

Listed in

Log in to save this article

Abstract

Recombination between SARS-CoV-2 virus variants can result in different viral properties (e.g., infectiousness or pathogenicity). In this report, we describe viruses with recombinant genomes containing signature mutations from Delta and Omicron variants. These genomes are the first evidence for a Delta-Omicron hybrid Spike protein in the United States.

Article activity feed

  1. ScreenIT

    SciScore for 10.1101/2022.03.19.484981: (What is this?)

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

    Table 1: Rigor

    Ethicsnot detected.
    Sex as a biological variablenot detected.
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot 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.

    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.

  2. Version published to 10.1101/2022.03.19.484981v1 on bioRxiv