No evidence of SARS-CoV-2 infection in Neotropical Primates sampled during COVID-19 pandemic in Minas Gerais and Rio Grande do Sul, Brazil

  1. Filipe Vieira Santos de Abreu
  2. Mariana Viana Macedo
  3. Alex Junio Jardim da Silva
  4. Cirilo Henrique de Oliveira
  5. Vinícius de Oliveira Ottone
  6. Marco Antônio Barreto de Almeida
  7. Edmilson dos Santos
  8. Jader da Cruz Cardoso
  9. Aline Scarpellini Campos
  10. Claudia Maria Dornelles da Silva
  11. Amanda Gonzales da Silva
  12. Miguel de Souza Andrade
  13. Valéria Magro Octaviano Bernis
  14. Walter Octaviano Bernis Filho
  15. Giliane de Souza Trindade
  16. George Rego Albuquerque
  17. Anaiá da Paixão Sevá
  18. Bergmann Morais Ribeiro
  19. Danilo Simonini Teixeira
  20. Fabrício Souza Campos
  21. Ana Cláudia Franco
  22. Paulo Michel Roehe
  23. Danilo Bretas de Oliveira

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Abstract

In 2019, a new coronavirus disease (COVID-19) was detected in China. Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) was capable to infect domestic and captive mammals like cats, tigers and minks. Due to genetic similarities, concern about the infection of Non-Human Primates (NHPs) and the establishment of a sylvatic cycle has grown in the Americas. In this study, neotropical primates (NP) were sampled in different areas from Brazil to investigate whether they were infected by SARS-CoV-2. A total of 89 samples from 51 NP of four species were examined. No positive samples were detected via RT-qPCR, regardless of the NHP species, tissue or habitat tested. This work provides the first report on the lack of evidence of circulation of SARS-CoV-2 in NP. The expand of wild animals sampling is necessary to understand their role in the epidemiology of SARS-CoV-2.

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  1. ScreenIT

    SciScore for 10.1101/2021.06.17.448890: (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 10.1101/2021.06.17.448890v1 on bioRxiv