Evidence map›Paper›PMID 35419205›Full record

ArticleEvolution, medicine, and public health2022

Mutation rate of SARS-CoV-2 and emergence of mutators during experimental evolution.

Massimo Amicone, Vítor Borges, Maria João Alves, Joana Isidro, Líbia Zé-Zé, Sílvia Duarte, Luís Vieira, Raquel Guiomar, João Paulo Gomes, Isabel Gordo

Open access · goldAbstract read
In one paragraph

Article in Evolution, medicine, and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 140 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
140citing papers in PubMed, 2 pooled it
36.7field-weighted citation impact, top 1% of its field
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

140 citing papers in PubMed, 2 syntheses or guidelines pooled it, 201 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Nanobodies targeting SARS-CoV-2 variants.Acta pharmaceutica Sinica. B · 2026
    Review
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  20. Journal of enzyme inhibition and medicinal chemistry · 2025
    Article

80 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 3 institutions in 1 country.

Massimo AmiconeInstituto Gulbenkian de Ciência, Oeiras, Portugal.ORCID https://orcid.org/0000-0002-2221-606X
Vítor BorgesBioinformatics Unit, Department of Infectious Diseases, National Institute of Health Doutor Ricardo Jorge (INSA), Lisbon, Portugal.ORCID https://orcid.org/0000-0003-3767-2209
Maria João AlvesCentre for Vectors and Infectious Diseases Research, Department of Infectious Diseases, National Institute of Health Doutor Ricardo Jorge (INSA), Lisbon, Portugal.ORCID https://orcid.org/0000-0003-0065-9000
Joana IsidroBioinformatics Unit, Department of Infectious Diseases, National Institute of Health Doutor Ricardo Jorge (INSA), Lisbon, Portugal.ORCID https://orcid.org/0000-0002-8529-9878
Líbia Zé-ZéCentre for Vectors and Infectious Diseases Research, Department of Infectious Diseases, National Institute of Health Doutor Ricardo Jorge (INSA), Lisbon, Portugal.ORCID https://orcid.org/0000-0001-7258-1439
Sílvia DuarteInnovation and Technology Unit, Department of Human Genetics, National Institute of Health Doutor Ricardo Jorge (INSA), Lisbon, Portugal.ORCID https://orcid.org/0000-0003-2943-5975
Luís VieiraInnovation and Technology Unit, Department of Human Genetics, National Institute of Health Doutor Ricardo Jorge (INSA), Lisbon, Portugal.ORCID https://orcid.org/0000-0002-7703-1409
Raquel GuiomarNational Reference Laboratory for Influenza and Other Respiratory Viruses, Department of Infectious Diseases, National Institute of Health Doutor Ricardo Jorge (INSA), Lisbon, Portugal.ORCID https://orcid.org/0000-0002-4563-6315
João Paulo GomesBioinformatics Unit, Department of Infectious Diseases, National Institute of Health Doutor Ricardo Jorge (INSA), Lisbon, Portugal.ORCID https://orcid.org/0000-0002-2697-2399
Isabel GordoInstituto Gulbenkian de Ciência, Oeiras, Portugal.ORCID https://orcid.org/0000-0003-1622-5143
National Institute of Health Dr. Ricardo Jorge · PTInstituto Gulbenkian de Ciência · PTUniversity of Lisbon · PT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and objectives: To understand how organisms evolve, it is fundamental to study how mutations emerge and establish. Here, we estimated the rate of mutation accumulation of SARS-CoV-2 Methodology: We performed experimental evolution with two strains of SARS-CoV-2, one carrying the originally described spike protein (CoV-2-D) and another carrying the D614G mutation that has spread worldwide (CoV-2-G). After 15 passages in Vero cells and whole genome sequencing, we characterized the spectrum and rate of the emerging mutations and looked for evidences of selection across the genomes of both strains. Results: From the frequencies of the mutations accumulated, and excluding the genes with signals of selection, we estimate a spontaneous mutation rate of 1.3 × 10 Conclusions and implications: These results provide valuable information on how spontaneous mutations emerge in SARS-CoV-2 and on how selection can shape its genome toward adaptation to new environments.

Indexed as

experimental evolutionmutation ratemutatorSARS-CoV-2virus adaptation

Identifiers

PMID35419205
PMCPMC8996265
OpenAlexW4226357916

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.