International Journal of Molecular Sciences (Feb 2023)

Accurate Detection of SARS-CoV-2 by Next-Generation Sequencing in Low Viral Load Specimens

  • Marius Ilié,
  • Jonathan Benzaquen,
  • Véronique Hofman,
  • Elodie Long-Mira,
  • Sandra Lassalle,
  • Jacques Boutros,
  • Christophe Bontoux,
  • Virginie Lespinet-Fabre,
  • Olivier Bordone,
  • Virginie Tanga,
  • Maryline Allegra,
  • Myriam Salah,
  • Julien Fayada,
  • Sylvie Leroy,
  • Matteo Vassallo,
  • Irit Touitou,
  • Johan Courjon,
  • Julie Contenti,
  • Michel Carles,
  • Charles-Hugo Marquette,
  • Paul Hofman

DOI
https://doi.org/10.3390/ijms24043478
Journal volume & issue
Vol. 24, no. 4
p. 3478

Abstract

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As new SARS-CoV-2 variants emerge, there is an urgent need to increase the efficiency and availability of viral genome sequencing, notably to detect the lineage in samples with a low viral load. SARS-CoV-2 genome next-generation sequencing (NGS) was performed retrospectively in a single center on 175 positive samples from individuals. An automated workflow used the Ion AmpliSeq SARS-CoV-2 Insight Research Assay on the Genexus Sequencer. All samples were collected in the metropolitan area of the city of Nice (France) over a period of 32 weeks (from 19 July 2021 to 11 February 2022). In total, 76% of cases were identified with a low viral load (Ct ≥ 32, and ≤200 copies/µL). The NGS analysis was successful in 91% of cases, among which 57% of cases harbored the Delta variant, and 34% the Omicron BA.1.1 variant. Only 9% of cases had unreadable sequences. There was no significant difference in the viral load in patients infected with the Omicron variant compared to the Delta variant (Ct values, p = 0.0507; copy number, p = 0.252). We show that the NGS analysis of the SARS-CoV-2 genome provides reliable detection of the Delta and Omicron SARS-CoV-2 variants in low viral load samples.

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