Evidence map›Paper›PMID 32070219›Full record

ArticleJournal of the Royal Society, Interface2020

Hidden patterns of codon usage bias across kingdoms.

Yun Deng, Fabio de Lima Hedayioglu, Jeremie Kalfon, Dominique Chu, Tobias von der Haar

Open access · hybridAbstract read
In one paragraph

Article in Journal of the Royal Society, Interface, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.0field-weighted citation impact, top 26% 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

12 citing papers in PubMed, 26 citations in OpenAlex.

  1. Patterns and drivers of genome-wide codon usage bias in the fungal order Sordariales.DNA research : an international journal for rapid publication of reports on genes and genomes · 2025
    Article
  2. Article
  3. Article
  4. Article
  5. Synthetic genomes unveil the effects of synonymous recoding.bioRxiv : the preprint server for biology · 2024
    Article
  6. Article
  7. Comprehensive analysis of codon bias in 13Frontiers in microbiology · 2023
    Article
  8. Article
  9. Article
  10. Codon usage bias.Molecular biology reports · 2022
    Review
  11. Analysis of codon usage patterns in open reading frame 4 of hepatitis E viruses.Beni-Suef University journal of basic and applied sciences · 2022
    Article
  12. Article
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

5 authors at 2 institutions in 2 countries.

Yun DengSchool of Computing, University of Kent, Canterbury CT2 7NF, UK.
Fabio de Lima HedayiogluKent Fungal Group, School of Biosciences, University of Kent, Canterbury CT2 7NJ, UK.
Jeremie KalfonBroad Institute of Harvard and MIT, Cambridge, MA 02142, USA.
Dominique ChuSchool of Computing, University of Kent, Canterbury CT2 7NF, UK.
Tobias von der HaarKent Fungal Group, School of Biosciences, University of Kent, Canterbury CT2 7NJ, UK.
University of Kent · GBBroad Institute · US

Funding

Wellcome Trust 201487/Z/16/Z
6 · The paper itself

Abstract

The genetic code is necessarily degenerate with 64 possible nucleotide triplets being translated into 20 amino acids. Eighteen out of the 20 amino acids are encoded by multiple synonymous codons. While synonymous codons are clearly equivalent in terms of the information they carry, it is now well established that they are used in a biased fashion. There is currently no consensus as to the origin of this bias. Drawing on ideas from stochastic thermodynamics we derive from first principles a mathematical model describing the statistics of codon usage bias. We show that the model accurately describes the distribution of codon usage bias of genomes in the fungal and bacterial kingdoms. Based on it, we derive a new computational measure of codon usage bias-the distance

Indexed as

Codon UsageGenetic CodeAmino AcidsBacteriaCodonAmino AcidsCodonbacteriacodon usage biasfungiprotistsstochastic thermodynamics

Identifiers

PMID32070219
PMCPMC7061699
OpenAlexW3008579804

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.