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Please use this identifier to cite or link to this item: http://hdl.handle.net/11375/26217
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dc.contributor.authorNasir JA-
dc.contributor.authorKozak RA-
dc.contributor.authorAftanas P-
dc.contributor.authorRaphenya AR-
dc.contributor.authorSmith KM-
dc.contributor.authorMaguire F-
dc.contributor.authorMaan H-
dc.contributor.authorAlruwaili M-
dc.contributor.authorBanerjee A-
dc.contributor.authorMbareche H-
dc.contributor.authorAlcock BP-
dc.contributor.authorKnox NC-
dc.contributor.authorMossman K-
dc.contributor.authorWang B-
dc.contributor.authorHiscox JA-
dc.contributor.authorMcArthur AG-
dc.contributor.authorMubareka S-
dc.date.accessioned2021-02-19T20:30:07Z-
dc.date.available2021-02-19T20:10:39Z-
dc.date.available2021-02-19T20:30:07Z-
dc.date.issued2020-08-15-
dc.identifier.citationNasir, J.A.; Kozak, R.A.; Aftanas, P.; Raphenya, A.R.; Smith, K.M.; Maguire, F.; Maan, H.; Alruwaili, M.; Banerjee, A.; Mbareche, H.; Alcock, B.P.; Knox, N.C.; Mossman, K.; Wang, B.; Hiscox, J.A.; McArthur, A.G.; Mubareka, S. A Comparison of Whole Genome Sequencing of SARS-CoV-2 Using Amplicon-Based Sequencing, Random Hexamers, and Bait Capture. Viruses 2020, 12, 895. https://doi.org/10.3390/v12080895en_US
dc.identifier.issn1999-4915-
dc.identifier.issn1999-4915-
dc.identifier.issn10.3390/v12080895-
dc.identifier.urihttp://hdl.handle.net/11375/26217-
dc.identifier.urihttps://publichealth.jmir.org/2020/2/e18668/-
dc.description.abstractGenome sequencing of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is increasingly important to monitor the transmission and adaptive evolution of the virus. The accessibility of high-throughput methods and polymerase chain reaction (PCR) has facilitated a growing ecosystem of protocols. Two differing protocols are tiling multiplex PCR and bait capture enrichment. Each method has advantages and disadvantages but a direct comparison with different viral RNA concentrations has not been performed to assess the performance of these approaches. Here we compare Liverpool amplification, ARTIC amplification, and bait capture using clinical diagnostics samples. All libraries were sequenced using an Illumina MiniSeq with data analyzed using a standardized bioinformatics workflow (SARS-CoV-2 Illumina GeNome Assembly Line; SIGNAL). One sample showed poor SARS-CoV-2 genome coverage and consensus, reflective of low viral RNA concentration. In contrast, the second sample had a higher viral RNA concentration, which yielded good genome coverage and consensus. ARTIC amplification showed the highest depth of coverage results for both samples, suggesting this protocol is effective for low concentrations. Liverpool amplification provided a more even read coverage of the SARS-CoV-2 genome, but at a lower depth of coverage. Bait capture enrichment of SARS-CoV-2 cDNA provided results on par with amplification. While only two clinical samples were examined in this comparative analysis, both the Liverpool and ARTIC amplification methods showed differing efficacy for high and low concentration samples. In addition, amplification-free bait capture enriched sequencing of cDNA is a viable method for generating a SARS-CoV-2 genome sequence and for identification of amplification artifacts.en_US
dc.publisherMDPI AGen_US
dc.subjectSARS-CoV-2en_US
dc.subjectamplicon sequencingen_US
dc.subjectbait captureen_US
dc.subjectgenome sequencingen_US
dc.subjectBase Sequenceen_US
dc.subjectBetacoronavirusen_US
dc.subjectCOVID-19en_US
dc.subjectCOVID-19 Testingen_US
dc.subjectClinical Laboratory Techniquesen_US
dc.subjectCoronavirus Infectionsen_US
dc.subjectDNA, Complementaryen_US
dc.subjectGenome, Viralen_US
dc.subjectHumansen_US
dc.subjectMolecular Epidemiologyen_US
dc.subjectMultiplex Polymerase Chain Reactionen_US
dc.subjectPandemicsen_US
dc.subjectPneumonia, Viralen_US
dc.subjectRNA, Viralen_US
dc.subjectSARS-CoV-2en_US
dc.subjectWhole Genome Sequencingen_US
dc.titleA Comparison of Whole Genome Sequencing of SARS-CoV-2 Using Amplicon-Based Sequencing, Random Hexamers, and Bait Captureen_US
dc.typeArticleen_US
dc.date.updated2021-02-19T20:10:38Z-
dc.identifier.doi10.3390/v12080895-
Appears in Collections:Faculty Publications (via McMaster Experts)

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