Viral receptor profiles of masked palm civet revealed by single-cell transcriptomics

  1. Dongsheng Chen
  2. Zhihua Ou
  3. Haoyu Wang
  4. Yanan Zhang
  5. Jiacheng Zhu
  6. Fuyu An
  7. Jinqian Xu
  8. Xiangning Ding
  9. Peiwen Ding
  10. Lihua Luo
  11. Weiying Wu
  12. Qiuyu Qin
  13. Yanan Wei
  14. Wandong Zhao
  15. Zhiyuan Lv
  16. Tianming Lan
  17. Meiling Li
  18. Wensheng Zhang
  19. Huan Liu
  20. Yan Hua

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Abstract

Civets are small mammals belonging to the family Viverridae . The masked palm civets ( Paguma larvata ) served as an intermediate host in the bat-to-human transmission of severe acute respiratory syndrome coronavirus (SARS-CoV) in 2003 1 . Because of their unique role in the SARS outbreak, civets were suspected as a potential intermediate host of SARS-CoV-2, the etiological pathogen of the COVID-19 pandemic. Besides their susceptibility to coronaviruses, civets can also be infected by other viruses, such as canine distemper viruses 2 , parvoviruses 3 , influenza viruses 4 , etc. Regarding the ecological and economical role of civets, it is vital to evaluate the potential threats from different pathogens to these animals. Receptor binding is a necessary step for virus entry into host cells. Understanding the distribution of receptors of various viruses provides hints to their potential tissue tropisms. Herein, we characterized the cell atlas of five important organs (the frontal lobe, lung, liver, spleen and kidney) of masked palm civets ( Paguma larvata ) and described the expression profiles of receptor associated genes of 132 viruses from 25 families, including 16 viruses from 10 families reported before that can attack civets and 116 viruses with little infection record.

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    SciScore for 10.1101/2021.07.20.452903: (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.
    • 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.

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  2. Version published to 10.1101/2021.07.20.452903v1 on bioRxiv