Optimizing the Illumina COVIDSeq laboratorial and bioinformatics pipeline on thousands of samples for SARS-CoV-2 Variants of Concern tracking

The SARS-CoV-2 Variants of Concern tracking via Whole Genome Sequencing represents a pillar of public health measures for the containment of the pandemic. The ability to track down the lineage distribution on a local and global scale leads to a better understanding of immune escape and to adopting i...

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Veröffentlicht in:Computational and structural biotechnology journal 2022-01, Vol.20, p.2558-2563
Hauptverfasser: Donzelli, Sara, Ciuffreda, Ludovica, Pontone, Martina, Betti, Martina, Massacci, Alice, Mottini, Carla, De Nicola, Francesca, Orlandi, Giulia, Goeman, Frauke, Giuliani, Eugenia, Sperandio, Eleonora, Piaggio, Giulia, Morrone, Aldo, Ciliberto, Gennaro, Fanciulli, Maurizio, Blandino, Giovanni, Pimpinelli, Fulvia, Pallocca, Matteo
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Sprache:eng
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Zusammenfassung:The SARS-CoV-2 Variants of Concern tracking via Whole Genome Sequencing represents a pillar of public health measures for the containment of the pandemic. The ability to track down the lineage distribution on a local and global scale leads to a better understanding of immune escape and to adopting interventions to contain novel outbreaks. This scenario poses a challenge for NGS laboratories worldwide that are pressed to have both a faster turnaround time and a high-throughput processing of swabs for sequencing and analysis. In this study, we present an optimization of the Illumina COVID-seq protocol carried out on thousands of SARS-CoV-2 samples at the wet and dry level. We discuss the unique challenges related to processing hundreds of swabs per week such as the tradeoff between ultra-high sensitivity and negative contamination levels, cost efficiency and bioinformatics quality metrics.
ISSN:2001-0370
2001-0370
DOI:10.1016/j.csbj.2022.05.033