Systemic infection of SARS-CoV-2 in free ranging Leopard ( Panthera pardus fusca ) in India

  1. Sonalika Mahajan
  2. Mathesh Karikalan
  3. Vishal Chander
  4. Abhijit M. Pawde
  5. G Saikumar
  6. M Semmaran
  7. P Sree Lakshmi
  8. Megha Sharma
  9. Sukdeb Nandi
  10. Karam Pal Singh
  11. Vivek Kumar Gupta
  12. Raj Kumar Singh
  13. Gaurav Kumar Sharma

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Abstract

We report patho-morphological and virological characterization of SARS-CoV-2 in naturally infected, free ranging Indian Leopard ( Panthera pardus fusca ). Whole genome sequence analysis confirmed infection of Delta variant of SARS-CoV-2, possibly spill over from humans, but the case was detected when infection level had dropped significantly in human population. This report underlines the need for intensive screening of wild animals for keeping track of the virus evolution and development of carrier status of SARS-CoV-2 among wildlife species.

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  1. ScreenIT

    SciScore for 10.1101/2022.01.11.475327: (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: 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.

    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 10.1101/2022.01.11.475327v1 on bioRxiv