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

Authors :
Suljič, Alen
Zorec, Tomaž Mark
Zakotnik, Samo
Vlaj, Doroteja
Kogoj, Rok
Knap, Nataša
Petrovec, Miroslav
Poljak, Mario
Avšič-Županc, Tatjana
Korva, Miša
Source :
Briefings in Bioinformatics. Jul2024, Vol. 25 Issue 4, p1-13. 13p.
Publication Year :
2024

Abstract

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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
14675463
Volume :
25
Issue :
4
Database :
Academic Search Index
Journal :
Briefings in Bioinformatics
Publication Type :
Academic Journal
Accession number :
178650339
Full Text :
https://doi.org/10.1093/bib/bbae263