SARS-CoV-2 Genomic Surveillance Enables the Identification of Delta/Omicron Co-Infections in Argentina

  1. María Belén Pisano
  2. Paola Sicilia
  3. Maximiliano Zeballos
  4. Andrea Lucca
  5. Franco Fernandez
  6. Gonzalo M. Castro
  7. Stephanie Goya
  8. Mariana Viegas
  9. Laura López
  10. María Gabriela Barbás
  11. Viviana E. Ré

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Abstract

Molecular surveillance of SARS-CoV-2 is crucial for the early detection of new variants and lineages. In addition, detection of co-infections with more than one SARS-CoV-2 lineage has been sporadically reported. In this work, surveillance of SARS-CoV-2 variants was performed on 2,067 RNA samples (Ct > 30) obtained during December 2021 and January 2022 from Córdoba province, Argentina, by real-time RT-PCR specific for variants of concern (VOCs) and variants of interest (VOIs) relevant mutations (TaqMan™ SARS-CoV-2 Mutation Panel, Applied Biosystems). The following distribution of variants was obtained: Omicron (54.9%), Delta (44.2%), and Lambda (0.8%). Three samples (0.1%), from the last week of December, were compatible with a Delta/Omicron co-infection. One of them was sequenced by NGS-Illumina, obtaining reads for both VOCs. One of the co-infected patients presented with severe symptoms, was not vaccinated, and had risk factors (older than 60 years and arterial hypertension). We describe for the first time in Argentina the identification of cases of co-infection with two SARS-CoV-2 lineages, VOCs Delta and Omicron, during the third COVID-19 wave in the country (a high viral circulation period), when Delta and Omicron co-circulated. Our findings highlight the importance of continuing molecular surveillance, in order to elucidate possible recombination events and the emergence of new variants.

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  1. Version published to 10.3389/fviro.2022.910839
  2. ScreenIT

    SciScore for 10.1101/2022.03.08.22270920: (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

    Software and Algorithms
    SentencesResources
    Whole genome sequencing: Samples that resulted compatible with a co-infection profile in the real-time RT-PCRs for VOC/VOI screening, were subjected to WGS by Illumina platform, using the Illumina COVIDSeq RUO kit, version COVIDSeq Test Kit.
    WGS
    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.

  3. Version published to 10.1101/2022.03.08.22270920 on medRxiv