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Comparison of SARS-CoV-2 whole genome sequencing using tiled amplicon enrichment and bait hybridization
Örebro University, School of Medical Sciences. Clinical Pathology and Genetics, Department of Laboratory Medicine, University Hospital Örebro, Sweden. (Clinical Genomics Örebro, Science for Life Laboratory)ORCID iD: 0000-0001-8304-2772
Örebro University, School of Medical Sciences. (Clinical Genomics Örebro, Science for Life Laboratory)ORCID iD: 0000-0003-3887-9519
Örebro University, School of Medical Sciences.ORCID iD: 0000-0003-4442-8503
Örebro University, School of Medical Sciences.ORCID iD: 0000-0003-3962-2141
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2023 (English)Conference paper, Poster (with or without abstract) (Other academic)
Abstract [en]

The severe acute respiratory syndrome coronavirus 2 (SARS‑CoV‑2) worldwide pandemic has led to extensive virological monitoring by whole genome sequencing (WGS). Investigating the advantages and limitations of different protocols is key when conducting population-level WGS. SARS-CoV-2 positive samples with Ct values of 14–30 were run using three different protocols: the Twist Bioscience SARS‑CoV‑2 protocol with bait hybridization enrichment sequenced with Illumina, and two tiled amplicon enrichment protocols, ARTIC V3 and Midnight, sequenced with Illumina and Oxford Nanopore Technologies, respectively. Twist resulted in better coverage uniformity and coverage of the entire genome, but has several drawbacks: high human contamination, laborious workflow, high cost, and variation between batches. The ARTIC and Midnight protocol produced an even coverage across samples, and almost all reads were mapped to the SARS-CoV-2 reference. ARTIC and Midnight represent robust, cost-effective, and highly scalable methods that are appropriate in a clinical environment. Lineage designations were uniform across methods, representing the dominant lineages in Sweden during the period of collection. This study provides insights into methodological differences in SARS‑CoV‑2 sequencing and guidance in selecting suitable methods for various purposes.

Place, publisher, year, edition, pages
2023.
National Category
Infectious Medicine
Identifiers
URN: urn:nbn:se:oru:diva-108004OAI: oai:DiVA.org:oru-108004DiVA, id: diva2:1793457
Conference
Smögen Virology Symposium 2023, Smögen, Sweden, August 24-26, 2023.
Available from: 2023-09-01 Created: 2023-09-01 Last updated: 2023-09-05Bibliographically approved

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Koskela, AnitaLindqvist, Carl MårtenAsghar, NaveedJohansson, MagnusSundqvist, MartinMölling, PaulaStenmark, Bianca

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Koskela, AnitaLindqvist, Carl MårtenAsghar, NaveedJohansson, MagnusSundqvist, MartinMölling, PaulaStenmark, Bianca
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School of Medical SciencesÖrebro University Hospital
Infectious Medicine

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CiteExportLink to record
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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
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  • Other locale
More languages
Output format
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  • asciidoc
  • rtf