Evidence map›Paper›PMID 33895815›Full record

ArticleGenome biology and evolution2021

Mutation Rates and Selection on Synonymous Mutations in SARS-CoV-2.

Nicola De Maio, Conor R Walker, Yatish Turakhia, Robert Lanfear, Russell Corbett-Detig, Nick Goldman

Open access · goldAbstract read
In one paragraph

Article in Genome biology and evolution, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 85 papers.

0numbers the graph read from it
0cells of the map it votes in
85citing papers in PubMed
19.6field-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

85 citing papers in PubMed, 131 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Highly Recurrent Multinucleotide Mutations in SARS-CoV-2.Molecular biology and evolution · 2025
    Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Over time analysis of the codon usage of SARS-CoV-2 and its variants.Computational and structural biotechnology journal · 2025
    Article
  15. Article
  16. Addressing pandemic-wide systematic errors in the SARS-CoV-2 phylogeny.bioRxiv : the preprint server for biology · 2024
    Article
  17. Article
  18. Article
  19. Review
  20. Article

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

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 4 institutions in 3 countries.

Nicola De MaioEuropean Molecular Biology Laboratory, European Bioinformatics Institute, Cambridgeshire, United Kingdom.
Conor R WalkerEuropean Molecular Biology Laboratory, European Bioinformatics Institute, Cambridgeshire, United Kingdom.
Yatish TurakhiaDepartment of Biomolecular Engineering, University of California, Santa Cruz, California, USA.
Robert LanfearDepartment of Ecology and Evolution, Research School of Biology, Australian National University, Canberra, ACT, Australia.
Russell Corbett-DetigDepartment of Biomolecular Engineering, University of California, Santa Cruz, California, USA.
Nick GoldmanEuropean Molecular Biology Laboratory, European Bioinformatics Institute, Cambridgeshire, United Kingdom.
European Bioinformatics Institute · GBUniversity of California, Santa Cruz · USAustralian National University · AUUniversity of Cambridge · GB

Funding

Origins, Functional, and Evolutionary Consequences of Genomic VariationR35GM128932 · NIGMS · UNIVERSITY OF CALIFORNIA SANTA CRUZ · PI Russell Corbett-Detig · 2018 to 2026
$3.2M
NIGMS NIH HHS R35 GM128932
6 · The paper itself

Abstract

The COVID-19 pandemic has seen an unprecedented response from the sequencing community. Leveraging the sequence data from more than 140,000 SARS-CoV-2 genomes, we study mutation rates and selective pressures affecting the virus. Understanding the processes and effects of mutation and selection has profound implications for the study of viral evolution, for vaccine design, and for the tracking of viral spread. We highlight and address some common genome sequence analysis pitfalls that can lead to inaccurate inference of mutation rates and selection, such as ignoring skews in the genetic code, not accounting for recurrent mutations, and assuming evolutionary equilibrium. We find that two particular mutation rates, G →U and C →U, are similarly elevated and considerably higher than all other mutation rates, causing the majority of mutations in the SARS-CoV-2 genome, and are possibly the result of APOBEC and ROS activity. These mutations also tend to occur many times at the same genome positions along the global SARS-CoV-2 phylogeny (i.e., they are very homoplasic). We observe an effect of genomic context on mutation rates, but the effect of the context is overall limited. Although previous studies have suggested selection acting to decrease U content at synonymous sites, we bring forward evidence suggesting the opposite.

Indexed as

Mutation RateSelection, GeneticCOVID-19Evolution, MolecularGenome, ViralPhylogenyRNA, ViralSARS-CoV-2Sequence Analysis, RNASilent MutationRNA, ViralCOVID-19mutationSARS-CoV-2selectionsequencingviral genomics

Identifiers

PMID33895815
PMCPMC8135539
OpenAlexW3158098632

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.