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  2. SpikeID: Rapid and unbiased identification of SARS-CoV-2 variants by spike sequencing

SpikeID: Rapid and unbiased identification of SARS-CoV-2 variants by spike sequencing Artículos académico

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Resumen

  • Background: Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants of concern (VOCs) are characterized by distinct mutations in the S1 domain of the viral spike protein. This domain encompasses the N-terminal domain, the receptor-binding domain, and part of the cleavage site region. While mutations in other genomic regions of SARS-CoV-2 can impact VOC potential, the S1 domain holds particular importance for identifying variants and assessing antigenic evolution and immune escape potential. Methods: We describe a rapid high-throughput sequencing-based assay, SpikeID, for the unbiased detection and identification of SARS-CoV-2 variants based on spike S1 amplicon sequencing. We benchmarked the SpikeID assay against Illumina whole-genome sequencing across 622 clinical biospecimens, representing lineages that circulated globally from October 2021 to January 2024. Results: SpikeID unambiguously detected 100 % of WHO-designated VOCs and identified PANGO lineages circulating at ≥1 % prevalence in the New York City (NYC) area with 93 % accuracy in comparison to whole-genome sequencing. This reduction in accuracy was largely due to PANGO lineages that are only distinguishable by mutations outside the S1 domain. Conclusions: We demonstrate the utility and scalability of the SpikeID assay during the emergence and subsequent surge of Omicron and Omicron-derived lineages in New York City, and show that our approach enables cost-effective, reliable, and near-real-time detection of emerging lineages.

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autores

  • http://research-hub.urosario.edu.co/ontology/vlocal#ExcludedPerson
    adriana van de guchte
  • http://research-hub.urosario.edu.co/ontology/vlocal#ExcludedPerson
    alberto e paniz mondolfi
  • http://research-hub.urosario.edu.co/ontology/vlocal#ExcludedPerson
    ana s gonzalez reiche
  • http://research-hub.urosario.edu.co/ontology/vlocal#ExcludedPerson
    bremy alburquerque
  • http://research-hub.urosario.edu.co/ontology/vlocal#ExcludedPerson
    daniel floda
  • http://research-hub.urosario.edu.co/ontology/vlocal#ExcludedPerson
    emilia mia sordillo
  • http://research-hub.urosario.edu.co/ontology/vlocal#ExcludedPerson
    harm van bakel
  • http://vivoweb.org/ontology/core#FacultyMember
    Juan David Ramírez González
  • http://research-hub.urosario.edu.co/ontology/vlocal#ExcludedPerson
    keith farrugia
  • http://research-hub.urosario.edu.co/ontology/vlocal#ExcludedPerson
    komal srivastava
  • http://research-hub.urosario.edu.co/ontology/vlocal#ExcludedPerson
    luz helena patino
  • http://research-hub.urosario.edu.co/ontology/vlocal#ExcludedPerson
    viviana simon
  • http://research-hub.urosario.edu.co/ontology/vlocal#ExcludedPerson
    z khalil

Edición

  • 180

fecha de publicación

  • 2025-10-1

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Identificador de objeto digital (DOI)

  • https://doi.org/10.1016/j.jcv.2025.105845