Evidence map›Paper›PMID 32687176›Full record

ArticleMolecular biology and evolution2021

Evidence for Strong Mutation Bias toward, and Selection against, U Content in SARS-CoV-2: Implications for Vaccine Design.

Alan M Rice, Atahualpa Castillo Morales, Alexander T Ho, Christine Mordstein, Stefanie Mühlhausen, Samir Watson, Laura Cano, Bethan Young, Grzegorz Kudla, Laurence D Hurst

Erratum issuedOpen access · hybridAbstract read
In one paragraph

Article in Molecular biology and evolution, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 56 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
56citing papers in PubMed, 1 pooled it
1.8field-weighted citation impact, top 8% 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

56 citing papers in PubMed, 1 synthesis or guideline pooled it, 90 citations in OpenAlex.

  1. Pooled it
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  14. Mutation bias and adaptation in bacteria.Microbiology (Reading, England) · 2023
    Review
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  17. Review
  18. Article
  19. Mutation bias and the predictability of evolution.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2023
    Review
  20. Correlated substitutions reveal SARS-like coronaviruses recombine frequently with a diverse set of structured gene pools.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 3 institutions in 2 countries.

Alan M RiceThe Milner Centre for Evolution, Department of Biology and Biochemistry, University of Bath, Bath, United Kingdom.
Atahualpa Castillo MoralesThe Milner Centre for Evolution, Department of Biology and Biochemistry, University of Bath, Bath, United Kingdom.
Alexander T HoThe Milner Centre for Evolution, Department of Biology and Biochemistry, University of Bath, Bath, United Kingdom.
Christine MordsteinThe Milner Centre for Evolution, Department of Biology and Biochemistry, University of Bath, Bath, United Kingdom.
Stefanie MühlhausenThe Milner Centre for Evolution, Department of Biology and Biochemistry, University of Bath, Bath, United Kingdom.
Samir WatsonDepartment of Molecular Biology and Genetics, Aarhus University, Aarhus, Denmark.
Laura CanoMRC Human Genetics Unit, Institute for Genetics and Molecular Medicine, The University of Edinburgh, Edinburgh, United Kingdom.
Bethan YoungThe Milner Centre for Evolution, Department of Biology and Biochemistry, University of Bath, Bath, United Kingdom.
Grzegorz KudlaMRC Human Genetics Unit, Institute for Genetics and Molecular Medicine, The University of Edinburgh, Edinburgh, United Kingdom.
Laurence D HurstThe Milner Centre for Evolution, Department of Biology and Biochemistry, University of Bath, Bath, United Kingdom.
University of Bath · GBInstitute of Genetics and Cancer · GBAarhus University · DK

Funding

European Research Council ERC-2014-ADG 669207Wellcome TrustWellcome Trust 207507
6 · The paper itself

Abstract

Large-scale re-engineering of synonymous sites is a promising strategy to generate vaccines either through synthesis of attenuated viruses or via codon-optimized genes in DNA vaccines. Attenuation typically relies on deoptimization of codon pairs and maximization of CpG dinucleotide frequencies. So as to formulate evolutionarily informed attenuation strategies that aim to force nucleotide usage against the direction favored by selection, here, we examine available whole-genome sequences of SARS-CoV-2 to infer patterns of mutation and selection on synonymous sites. Analysis of mutational profiles indicates a strong mutation bias toward U. In turn, analysis of observed synonymous site composition implicates selection against U. Accounting for dinucleotide effects reinforces this conclusion, observed UU content being a quarter of that expected under neutrality. Possible mechanisms of selection against U mutations include selection for higher expression, for high mRNA stability or lower immunogenicity of viral genes. Consistent with gene-specific selection against CpG dinucleotides, we observe systematic differences of CpG content between SARS-CoV-2 genes. We propose an evolutionarily informed approach to attenuation that, unusually, seeks to increase usage of the already most common synonymous codons. Comparable analysis of H1N1 and Ebola finds that GC3 deviated from neutral equilibrium is not a universal feature, cautioning against generalization of results.

Indexed as

Genome, ViralMutationSelection, GeneticCOVID-19COVID-19 VaccinesHumansRNA, MessengerRNA StabilityRNA, ViralSARS-CoV-2UracilCOVID-19 VaccinesRNA, MessengerRNA, ViralUracilmutation equilibriumSARS-CoV-2selectionsynonymous mutationsvaccine designviral attenuation

Identifiers

PMID32687176
PMCPMC7454790
OpenAlexW3043112513

What OpenQuestion holds

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Registered trials

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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.