Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2025 Mar;30(10):2400038.
doi: 10.2807/1560-7917.ES.2025.30.10.2400038.

Quasi-species prevalence and clinical impact of evolving SARS-CoV-2 lineages in European COVID-19 cohorts, January 2020 to February 2022

Collaborators, Affiliations

Quasi-species prevalence and clinical impact of evolving SARS-CoV-2 lineages in European COVID-19 cohorts, January 2020 to February 2022

Matilda Berkell et al. Euro Surveill. 2025 Mar.

Abstract

BackgroundEvolution of SARS-CoV-2 is continuous.AimBetween 01/2020 and 02/2022, we studied SARS-CoV-2 variant epidemiology, evolution and association with COVID-19 severity.MethodsIn nasopharyngeal swabs of COVID-19 patients (n = 1,762) from France, Italy, Spain, and the Netherlands, SARS-CoV-2 was investigated by reverse transcription-quantitative PCR and whole-genome sequencing, and the virus variant/lineage (NextStrain/Pangolin) was determined. Patients' demographic and clinical details were recorded. Associations between mild/moderate or severe COVID-19 and SARS-CoV-2 variants and patient characteristics were assessed by logistic regression. Rates and genomic locations of mutations, as well as quasi-species distribution (≥ 2 heterogeneous positions, ≥ 50× coverage) were estimated based on 1,332 high-quality sequences.ResultsOverall, 11 SARS-CoV-2 clades infected 1,762 study patients of median age 59 years (interquartile range (IQR): 45-73), with 52.5% (n = 925) being male. In total, 101 non-synonymous substitutions/insertions correlated with disease prognosis (severe, n = 27; mild-to-moderate, n = 74). Several hotspots (mutation rates ≥ 85%) occurred in Alpha, Delta, and Omicron variants of concern (VOCs) but none in pre-Alpha strains. Four hotspots were retained across all study variants, including spike:D614G. Average number of mutations per open-reading-frame (ORF) increased in the spike gene (average < 5 per genome in January 2020 to > 15 in 2022), but remained stable in ORF1ab, membrane, and nucleocapsid genes. Quasi-species were most prevalent in 20A/EU2 (48.9%), 20E/EU1 (48.6%), 20A (38.8%), and 21K/Omicron (36.1%) infections. Immunocompromised status and age (≥ 60 years), while associated with severe COVID-19 or death irrespective of variant (odds ratio (OR): 1.60-2.25; p ≤ 0.014), did not affect quasi-species' prevalence (p > 0.05).ConclusionSpecific mutations correlate with COVID-19 severity. Quasi-species potentially shaping VOCs' emergence are relevant to consider.

Keywords: France; Genome evolution; Italy; ORCHESTRA; RNA secondary structure; SNV; Spain; The Netherlands; coronavirus; deletions; insertions; mutation rate; mutations; quasi-species.

PubMed Disclaimer

Conflict of interest statement

Conflict of interest: None declared.

Figures

Figure 1
Figure 1
Flowchart illustrating steps to include patients and samples in the study in four European countriesa, January 2020–February 2022 (n = 2,099 patients screened)
Figure 2
Figure 2
(A) Distribution of infecting SARS-CoV-2 variants, (B, C) COVID-19 severity by patients’ demographic characteristics and variant, and (D) viral loads by variant in patients from four European countriesa, January 2020–February 2022 (n = 1,762 patients)
Figure 3
Figure 3
Evolution of the SARS-CoV-2 genome based on viral genetic sequences derived from patients from four European countriesa, January 2020–February 2022 (n = 1,332)
Figure 4
Figure 4
Mutation rates at different positions across the SARS-CoV-2 genome, January 2020–February 2022 (n = 1,332)
Figure 5
Figure 5
Association of non-synonymous mutations in the SARS-CoV-2 genome and COVID-19 severity, January 2020—February 2022 (n = 1,332 sequences)

References

    1. Duchene S, Featherstone L, Haritopoulou-Sinanidou M, Rambaut A, Lemey P, Baele G. Temporal signal and the phylodynamic threshold of SARS-CoV-2. Virus Evol. 2020;6(2):veaa061. 10.1093/ve/veaa061 - DOI - PMC - PubMed
    1. Harvey WT, Carabelli AM, Jackson B, Gupta RK, Thomson EC, Harrison EM, et al. COVID-19 Genomics UK (COG-UK) Consortium . SARS-CoV-2 variants, spike mutations and immune escape. Nat Rev Microbiol. 2021;19(7):409-24. 10.1038/s41579-021-00573-0 - DOI - PMC - PubMed
    1. Ai J, Wang X, He X, Zhao X, Zhang Y, Jiang Y, et al. Antibody evasion of SARS-CoV-2 Omicron BA.1, BA.1.1, BA.2, and BA.3 sub-lineages. Cell Host Microbe. 2022;30(8):1077-1083.e4. 10.1016/j.chom.2022.05.001 - DOI - PMC - PubMed
    1. Huang M, Wu L, Zheng A, Xie Y, He Q, Rong X, et al. Atlas of currently available human neutralizing antibodies against SARS-CoV-2 and escape by Omicron sub-variants BA.1/BA.1.1/BA.2/BA.3. Immunity. 2022;55(8):1501-1514.e3. 10.1016/j.immuni.2022.06.005 - DOI - PMC - PubMed
    1. Liu Z, VanBlargan LA, Bloyet LM, Rothlauf PW, Chen RE, Stumpf S, et al. Identification of SARS-CoV-2 spike mutations that attenuate monoclonal and serum antibody neutralization. Cell Host Microbe. 2021;29(3):477-488.e4. 10.1016/j.chom.2021.01.014 - DOI - PMC - PubMed

Supplementary concepts

LinkOut - more resources