Evidence map›Paper›PMID 34155814›Full record

ReviewWiley interdisciplinary reviews. RNA2022

Compositional biases in RNA viruses: Causes, consequences and applications.

Eleanor R Gaunt, Paul Digard

Open access · hybridAbstract readReview
In one paragraph

Review in Wiley interdisciplinary reviews. RNA, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
1.6field-weighted citation impact, top 16% 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

30 citing papers in PubMed, 32 citations in OpenAlex.

  1. Article
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  4. The biased adenosine-rich content of the HIV-1 genome serves as a molecular signature that facilitates efficient packaging.Proceedings of the National Academy of Sciences of the United States of America · 2026
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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

2 authors at 1 institution in 1 country.

Eleanor R GauntDepartment of Infection and Immunity, The Roslin Institute, The University of Edinburgh, Edinburgh, UK.
Paul DigardDepartment of Infection and Immunity, The Roslin Institute, The University of Edinburgh, Edinburgh, UK.ORCID 0000-0002-0872-9440
Roslin Institute · GB

Funding

Medical Research Council MR/M011747/1Wellcome Trust 211222/Z/18/Z
6 · The paper itself

Abstract

If each of the four nucleotides were represented equally in the genomes of viruses and the hosts they infect, each base would occur at a frequency of 25%. However, this is not observed in nature. Similarly, the order of nucleotides is not random (e.g., in the human genome, guanine follows cytosine at a frequency of ~0.0125, or a quarter the number of times predicted by random representation). Codon usage and codon order are also nonrandom. Furthermore, nucleotide and codon biases vary between species. Such biases have various drivers, including cellular proteins that recognize specific patterns in nucleic acids, that once triggered, induce mutations or invoke intrinsic or innate immune responses. In this review we examine the types of compositional biases identified in viral genomes and current understanding of the evolutionary mechanisms underpinning these trends. Finally, we consider the potential for large scale synonymous recoding strategies to engineer RNA virus vaccines, including those with pandemic potential, such as influenza A virus and Severe Acute Respiratory Syndrome Coronavirus Virus 2. This article is categorized under: RNA in Disease and Development > RNA in Disease RNA Evolution and Genomics > Computational Analyses of RNA RNA Interactions with Proteins and Other Molecules > Protein-RNA Recognition.

Indexed as

RNA VirusesVirusesBiasCodonEvolution, MolecularGenome, ViralHumansNucleotidesCodonNucleotidesdinucleotidesmutation biasselection biasviral genome composition

Identifiers

PMID34155814
PMCPMC8420353
OpenAlexW3174385640

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.