Evidence map›Paper›PMID 31871131›Full record

ArticleGenetics2020

Pervasive Strong Selection at the Level of Codon Usage Bias in

Heather E Machado, David S Lawrie, Dmitri A Petrov

Open access · bronzeAbstract read
In one paragraph

Article in Genetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
3.8field-weighted citation impact, top 6% 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

32 citing papers in PubMed, 64 citations in OpenAlex.

  1. Article
  2. Estimating the evolutionary fitness of specific synonymous codon changes.bioRxiv : the preprint server for biology · 2026
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  3. Article
  4. Article
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  6. Article
  7. Applying the Classic Test dN/dS to Detect Selection in Archaea.Methods in molecular biology (Clifton, N.J.) · 2025
    Article
  8. Article
  9. Review
  10. Comparative Analysis of Codon Usage Bias in SixInternational journal of molecular sciences · 2024
    Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. How Can We Resolve Lewontin's Paradox?Genome biology and evolution · 2022
    Article
  17. Article
  18. Article
  19. Complete chloroplast genome features of the model heavy metal hyperaccumulatorPhysiology and molecular biology of plants : an international journal of functional plant biology · 2022
    Article
  20. 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

3 authors at 3 institutions in 2 countries.

Heather E MachadoCancer, Ageing, and Somatic Mutation, Wellcome Sanger Institute, Hinxton CB10 1SA, UK machadoheather@gmail.com.ORCID 0000-0002-1523-3937
David S LawrieDepartment of Ecology and Evolutionary Biology, University of California, Irvine, California 92697-3958.ORCID 0000-0002-6782-9986
Dmitri A PetrovDepartment of Biology, Stanford University, California 94305-5020.ORCID 0000-0002-3664-9130
Stanford University · USUniversity of California, Irvine · USWellcome Sanger Institute · GB

Funding

Genomics of rapid adaptation in the lab and in the wildR35GM118165 · NIGMS · STANFORD UNIVERSITY · PI Dmitri Petrov · 2016 to 2026
$8.3M
NIGMS NIH HHS R35 GM118165
6 · The paper itself

Abstract

Codon usage bias (CUB), where certain codons are used more frequently than expected by chance, is a ubiquitous phenomenon and occurs across the tree of life. The dominant paradigm is that the proportion of preferred codons is set by weak selection. While experimental changes in codon usage have at times shown large phenotypic effects in contrast to this paradigm, genome-wide population genetic estimates have supported the weak selection model. Here we use deep genomic population sequencing of two

Indexed as

AnimalsCodonCodon UsageDrosophila melanogasterDrosophila ProteinsEvolution, MolecularGenomicsIntronsMetagenomicsModels, GeneticPolymorphism, GeneticRNA SplicingSelection, GeneticCodonDrosophila Proteinscodon usage biasCUBDrosophilaselectionsplicingsynonymous sites

Identifiers

PMID31871131
PMCPMC7017021
OpenAlexW2997884959

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.