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Prediction of SARS-CoV-2 Variant Lineages Using the S1-Encoding Region Sequence Obtained by PacBio Single-Molecule Real-Time Sequencing

Authors :
Sébastien Lhomme
Justine Latour
Nicolas Jeanne
Pauline Trémeaux
Noémie Ranger
Marion Migueres
Gérald Salin
Cécile Donnadieu
Jacques Izopet
Laboratoire Virologie [CHU Toulouse]
Institut Fédératif de Biologie (IFB)
Centre Hospitalier Universitaire de Toulouse (CHU Toulouse)-Centre Hospitalier Universitaire de Toulouse (CHU Toulouse)-Pôle Biologie [CHU Toulouse]
Centre Hospitalier Universitaire de Toulouse (CHU Toulouse)
Institut Toulousain des Maladies Infectieuses et Inflammatoires (Infinity)
Université Toulouse III - Paul Sabatier (UT3)
Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)
Génome et Transcriptome - Plateforme Génomique ( GeT-PlaGe)
Plateforme Génome & Transcriptome (GET)
Génopole Toulouse Midi-Pyrénées [Auzeville] (GENOTOUL)
Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Ecole Nationale Vétérinaire de Toulouse (ENVT)
Institut National Polytechnique (Toulouse) (Toulouse INP)
Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut National Polytechnique (Toulouse) (Toulouse INP)
Université Fédérale Toulouse Midi-Pyrénées-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Université Toulouse III - Paul Sabatier (UT3)
Université Fédérale Toulouse Midi-Pyrénées-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Génopole Toulouse Midi-Pyrénées [Auzeville] (GENOTOUL)
Université Fédérale Toulouse Midi-Pyrénées-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)
Benson-Rumiz, Alicia
Source :
Viruses, Vol 13, Iss 2544, p 2544 (2021), Viruses; Volume 13; Issue 12; Pages: 2544, Viruses, Viruses, 2021, 13 (12), pp.2544. ⟨10.3390/v13122544⟩
Publication Year :
2021
Publisher :
MDPI AG, 2021.

Abstract

International audience; The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), is the causal agent of the COVID-19 pandemic that emerged in late 2019. The outbreak of variants with mutations in the region encoding the spike protein S1 sub-unit that can make them more resistant to neutralizing or monoclonal antibodies is the main point of the current monitoring. This study examines the feasibility of predicting the variant lineage and monitoring the appearance of reported mutations by sequencing only the region encoding the S1 domain by Pacific Bioscience Single Molecule Real-Time sequencing (PacBio SMRT). Using the PacBio SMRT system, we successfully sequenced 186 of the 200 samples previously sequenced with the Illumina COVIDSeq (whole genome) system. PacBio SMRT detected mutations in the S1 domain that were missed by the COVIDseq system in 27/186 samples (14.5%), due to amplification failure. These missing positions included mutations that are decisive for lineage assignation, such as G142D (n = 11), N501Y (n = 6), or E484K (n = 2). The lineage of 172/186 (92.5%) samples was accurately determined by analyzing the region encoding the S1 domain with a pipeline that uses key positions in S1. Thus, the PacBio SMRT protocol is appropriate for determining virus lineages and detecting key mutations.

Details

Language :
English
ISSN :
19994915
Volume :
13
Issue :
2544
Database :
OpenAIRE
Journal :
Viruses
Accession number :
edsair.doi.dedup.....6345473d64ff29dc123444d923a57d45
Full Text :
https://doi.org/10.3390/v13122544⟩