SARS-CoV-2 mutant spectrum complexity is an epidemiologically evolvable trait

RNA virus populations consist of complex and dynamic mutant spectra in which most individual genomes differ in one or more positions from the other genomes of the same population. This behavior, known as quasispecies dynamics, applies to SARS-CoV-2 which exhibits intrahost genetic and functional heterogeneity while evolving at a high rate in the human population. In the present study, we describe a remarkable reduction in mutant spectrum complexity (intrahost viral genome heterogeneity) in SARS-CoV-2 isolates of late relative to early COVID-19 waves, as they reached Madrid (Spain) from 2020 until 2022. In contrast, the consensus (average) sequence of the corresponding isolates displayed a continuing divergence from the initial Wuhan-Hu-1 virus as the pandemic advanced. The mutant spectrum complexity developed upon replication in Vero E6 cells of the isolates from the first and sixth COVID-19 waves, as well as of biological clones retrieved from them, was similar. Therefore, the mutant spectrum complexity reduction observed in vivo was not due to an increased accuracy of the viral replicative machinery, but rather to other factors related to viral epidemiology or pathogenesis. Such possible factors and their implications for viral trait modifications in the course of a viral pandemic are discussed. The results establish that mutant spectrum complexity of genetically variable viruses can be an epidemiologically evolvable trait.

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Publication Details

Journal
Proceedings of the National Academy of Sciences
Published
2025-09-24
DOI
https://doi.org/10.1073/pnas.2515706122
Citations
2
Primary Topic
Evolution and Genetic Dynamics
Type
article
Field-Weighted Citation Impact
3.63

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article

SARS-CoV-2 mutant spectrum complexity is an epidemiologically evolvable trait

Ignacio Gadea, Esteban Domingo, Llanos Salar‐Vidal, Cristina Ferrer‐Orta et al.
2 citations
Proceedings of the National Academy of Sciences
Evolution and Genetic Dynamics
3.63
article

SARS-CoV-2 mutant spectrum complexity is an epidemiologically evolvable trait

Ignacio Gadea, Esteban Domingo, Llanos Salar‐Vidal, Cristina Ferrer‐Orta, Pablo Mínguez, Celia Perales, Pilar Somovilla, Federico Morán, Núria Verdaguer, Ana Isabel de Ávila, Ramón Lorenzo-Redondo, Brenda Martínez‐González, María Eugenia Soria, Soledad Delgado, Claudia Aguilar-Sabido
article en
2 citations

Abstract

RNA virus populations consist of complex and dynamic mutant spectra in which most individual genomes differ in one or more positions from the other genomes of the same population. This behavior, known as quasispecies dynamics, applies to SARS-CoV-2 which exhibits intrahost genetic and functional heterogeneity while evolving at a high rate in the human population. In the present study, we describe a remarkable reduction in mutant spectrum complexity (intrahost viral genome heterogeneity) in SARS-CoV-2 isolates of late relative to early COVID-19 waves, as they reached Madrid (Spain) from 2020 until 2022. In contrast, the consensus (average) sequence of the corresponding isolates displayed a continuing divergence from the initial Wuhan-Hu-1 virus as the pandemic advanced. The mutant spectrum complexity developed upon replication in Vero E6 cells of the isolates from the first and sixth COVID-19 waves, as well as of biological clones retrieved from them, was similar. Therefore, the mutant spectrum complexity reduction observed in vivo was not due to an increased accuracy of the viral replicative machinery, but rather to other factors related to viral epidemiology or pathogenesis. Such possible factors and their implications for viral trait modifications in the course of a viral pandemic are discussed. The results establish that mutant spectrum complexity of genetically variable viruses can be an epidemiologically evolvable trait.

Proceedings of the National Academy of SciencesVol. 122(39)
Northwestern University (US), Universidad Complutense de Madrid (ES), Instituto de Salud Carlos III (ES), Torrecid (Spain) (ES), Centre for Biomedical Network Research on Rare Diseases (ES), Health Solutions (Sweden) (SE), Hospital Universitario Fundación Jiménez Díaz (ES), Centro Tecnológico de Investigación, Desarrollo e Innovación en tecnologías de la Información y las Comunicaciones (TIC) (ES), Centro de Biología Molecular Severo Ochoa (ES), Institut de Biologia Molecular de Barcelona (ES), Universidad Autónoma de Madrid (ES), Universidad Politécnica de Madrid (ES)
Northwestern University, Universidad Complutense de Madrid, Universidad Politécnica de Madrid, Universidad Autónoma de Madrid, Feinberg School of Medicine, Consejo Superior de Investigaciones Científicas, Instituto de Salud Carlos III
Openalex Percentile: Top 7%
Evolution and Genetic Dynamics
3.63
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