Efficient SARS-CoV-2 variant detection and monitoring with Spike Screen next-generation sequencing

Suljič, Alen (author), Zorec, Tomaž Mark (author), Zakotnik, Samo (author), Vlaj, Doroteja (author), Kogoj, Rok (author), Knap, Nataša (author), Petrovec, Miroslav (author), Poljak, Mario (author), Avšič-Županc, Tatjana (author), Korva, Miša (author)

The emergence and rapid spread of SARS-CoV-2 prompted the global community to identify innovative approaches to diagnose infection and sequence the viral genome because at several points in the pandemic positive case numbers exceeded the laboratory capacity to characterize sufficient samples to adequately respond to the spread of emerging variants. From week 10, 2020, to week 13, 2023, Slovenian routine complete genome sequencing (CGS) surveillance network yielded 41 537 complete genomes and revealed a typical molecular epidemiology with early lineages gradually being replaced by Alpha, Delta, and finally Omicron. We developed a targeted next-generation sequencing based variant surveillance strategy dubbed Spike Screen through sample pooling and selective SARS-CoV-2 spike gene amplification in conjunction with CGS of individual cases to increase throughput and cost-effectiveness. Spike Screen identifies variant of concern (VOC) and variant of interest (VOI) signature mutations, analyses their frequencies in sample pools, and calculates the number of VOCs/VOIs at the population level. The strategy was successfully applied for detection of specific VOC/VOI mutations prior to their confirmation by CGS. Spike Screen complemented CGS efforts with an additional 22 897 samples sequenced in two time periods: between week 42, 2020, and week 24, 2021, and between week 37, 2021, and week 2, 2022. The results showed that Spike Screen can be applied to monitor VOC/VOI mutations among large volumes of samples in settings with limited sequencing capacity through reliable and rapid detection of novel variants at the population level and can serve as a basis for public health policy planning.

• Language: English
• Keywords: SARS-CoV-2, COVID-19, next-generation sequencing, complete-genome sequencing, molecular surveillance, spike gene
• Work type: Article
• Typology: 1.01 - Original Scientific Article
• Organization: MF - Faculty of Medicine
• Publication status: Published
• Publication version: Version of Record
• Year: 2024
• Number of pages: 13 str.
• Numbering: Vol. 25, iss. 4, art. bbae263
• PID: 20.500.12556/RUL-182106
• UDC: 616-097:579.6
• ISSN on article: 1477-4054
• DOI: 10.1093/bib/bbae263
• COBISS.SI-ID: 199443203
• Publication date in RUL: 24.04.2026

Record is a part of a journal

• Title: Briefings in bioinformatics
• Shortened title: Brief Bioinform
• Publisher: Oxford Journals
• ISSN: 1477-4054
• COBISS.SI-ID: 3210260

Licences

• License: CC BY-NC 4.0, Creative Commons Attribution-NonCommercial 4.0 International
• Link: http://creativecommons.org/licenses/by-nc/4.0/
• Description: A creative commons license that bans commercial use, but the users don’t have to license their derivative works on the same terms.

Secondary language

• Language: Slovenian
• Keywords: SARS-CoV-2, COVID-19, sekvenciranje naslednje generacije, sekvenciranje celotnega genoma, molekularni nadzor, spike gen