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

Author:

Ilié Marius123ORCID,Benzaquen Jonathan34ORCID,Hofman Véronique123ORCID,Long-Mira Elodie123ORCID,Lassalle Sandra123,Boutros Jacques4ORCID,Bontoux Christophe123ORCID,Lespinet-Fabre Virginie12,Bordone Olivier2,Tanga Virginie2,Allegra Maryline2,Salah Myriam2,Fayada Julien2,Leroy Sylvie4,Vassallo Matteo5,Touitou Irit6,Courjon Johan6,Contenti Julie7ORCID,Carles Michel6,Marquette Charles-Hugo34ORCID,Hofman Paul123ORCID

Affiliation:

1. Laboratory of Clinical and Experimental Pathology, Centre Hospitalier Universitaire de Nice, FHU OncoAge, Université Côte d’Azur, 06000 Nice, France

2. Hospital-Related Biobank (BB-0033-00025), Centre Hospitalier Universitaire de Nice, FHU OncoAge, Université Côte d’Azur, 06000 Nice, France

3. Team 4, Institute of Research on Cancer and Aging (IRCAN), CNRS INSERM, Université Côte d’Azur, 06107 Nice, France

4. Department of Pulmonary Medicine and Oncology, Centre Hospitalier Universitaire de Nice, FHU OncoAge, Université Côte d’Azur, 06000 Nice, France

5. Department of Internal Medicine and Oncology, Centre Hospitalier de Cannes, 06400 Cannes, France

6. Department of Infectious Diseases, Hôpital Archet 1, Centre Hospitalier Universitaire de Nice, Université Côte d’Azur, 06200 Nice, France

7. Emergency Department, Hôpital Pasteur 2, Centre Hospitalier Universitaire de Nice, Université Côte d’Azur, 06000 Nice, France

Abstract

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.

Funder

Agence Régionale de Santé Provence-Alpes-Côte d’Azur, Conseil Départemental 06 des Alpes Maritimes, Ville de Nice, Métropole Nice Côte d’Azur, and Fonds de Dotation AVENI

Publisher

MDPI AG

Subject

Inorganic Chemistry,Organic Chemistry,Physical and Theoretical Chemistry,Computer Science Applications,Spectroscopy,Molecular Biology,General Medicine,Catalysis

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