Evidence map›Paper›PMID 40991435›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2025

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

Brenda Martínez-González, María Eugenia Soria, Ana Isabel de Ávila, Pilar Somovilla, Claudia Aguilar-Sabido, Pablo Mínguez, Cristina Ferrer-Orta, Llanos Salar-Vidal, Ramón Lorenzo-Redondo, Soledad Delgado and 5 more

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Evolution of viral genomes and their clouds of sequence.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  3. SARS-CoV-2 mutant spectrum complexity is an epidemiologically evolvable trait.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors.

Brenda Martínez-GonzálezMicrobes in Health and Welfare Program, Centro de Biología Molecular Severo Ochoa (Consejo Superior de Investigaciones Científicas-Universidad Autónoma de Madrid), Madrid 28049, Spain.
María Eugenia SoriaMicrobes in Health and Welfare Program, Centro de Biología Molecular Severo Ochoa (Consejo Superior de Investigaciones Científicas-Universidad Autónoma de Madrid), Madrid 28049, Spain.
Ana Isabel de ÁvilaMicrobes in Health and Welfare Program, Centro de Biología Molecular Severo Ochoa (Consejo Superior de Investigaciones Científicas-Universidad Autónoma de Madrid), Madrid 28049, Spain.
Pilar SomovillaMicrobes in Health and Welfare Program, Centro de Biología Molecular Severo Ochoa (Consejo Superior de Investigaciones Científicas-Universidad Autónoma de Madrid), Madrid 28049, Spain.
Claudia Aguilar-SabidoManagement Solutions, Torre Picasso, Madrid 28020, Spain.
Pablo MínguezDepartment of Genetics and Genomics, Instituto de Investigación Sanitaria-Fundación Jiménez Díaz University Hospital, Universidad Autónoma de Madrid, Madrid 28040, Spain.ORCID 0000-0003-4099-9421
Cristina Ferrer-OrtaStructural and Molecular Biology Department, Institut de Biologia Molecular de Barcelona, Consejo Superior de Investigaciones Científicas, Barcelona 08028, Spain.
Llanos Salar-VidalDepartment of Clinical Microbiology, Instituto de Investigación Sanitaria-Fundación Jiménez Díaz University Hospital, Universidad Autónoma de Madrid, Madrid 28040, Spain.
Ramón Lorenzo-RedondoDivision of Infectious Diseases, Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL 60611.
Soledad DelgadoDepartamento de Sistemas Informáticos, Escuela Técnica Superior de Ingeniería de Sistemas Informáticos, Universidad Politécnica de Madrid, Madrid 28031, Spain.ORCID 0000-0003-4868-3712
Federico MoránDepartamento de Bioquímica y Biología Molecular, Universidad Complutense de Madrid, Madrid 28040, Spain.
Nuria VerdaguerStructural and Molecular Biology Department, Institut de Biologia Molecular de Barcelona, Consejo Superior de Investigaciones Científicas, Barcelona 08028, Spain.ORCID 0000-0001-8826-7129
Ignacio GadeaDepartment of Clinical Microbiology, Instituto de Investigación Sanitaria-Fundación Jiménez Díaz University Hospital, Universidad Autónoma de Madrid, Madrid 28040, Spain.
Esteban DomingoMicrobes in Health and Welfare Program, Centro de Biología Molecular Severo Ochoa (Consejo Superior de Investigaciones Científicas-Universidad Autónoma de Madrid), Madrid 28049, Spain.ORCID 0000-0002-0573-1676
Celia PeralesMicrobes in Health and Welfare Program, Centro de Biología Molecular Severo Ochoa (Consejo Superior de Investigaciones Científicas-Universidad Autónoma de Madrid), Madrid 28049, Spain.

Funding

Comunidad de Madrid (Community of Madrid) S2018/BAA-4370Comunidad de Madrid (Community of Madrid) TEC-2024/BIO-66Consejo Superior de Investigaciones Científicas (CSIC) CSIC-COV19-014Fundació La Marató 525/C/2021MEC | Instituto de Salud Carlos III (ISCIII) CPII21/00015MEC | Instituto de Salud Carlos III (ISCIII) FI19/00119MEC | Instituto de Salud Carlos III (ISCIII) PI21/00139Ministerio de Ciencia e Innovación (MCIN) PID2020-113888RB-I00/AEI/10.13039/501100011033Ministerio de Ciencia e Innovación (MCIN) PID2020-117976GB-I00Ministerio de Ciencia, Innovación y Universidades (MCIU) 202220I116Ministerio de Ciencia, Innovación y Universidades (MCIU) CA1/RSUE/2021Ministerio de Ciencia, Innovación y Universidades (MCIU) PID2023-146622OB-I00
6 · The paper itself

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.

Indexed as

COVID-19MutationSARS-CoV-2AnimalsChlorocebus aethiopsEvolution, MolecularGenome, ViralHumansQuasispeciesSpainVero CellsVirus ReplicationCOVID-19intrahost evolutionpopulation complexityquasispeciesRNA virus

Identifiers

PMID40991435
PMCPMC12501184

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.