Evidence map›Paper›PMID 33972434›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2021

Weak selection on synonymous codons substantially inflates

Shakibur Rahman, Sergei L Kosakovsky Pond, Andrew Webb, Jody Hey

Open access · bronzeAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
2.8field-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

34 citing papers in PubMed, 49 citations in OpenAlex.

  1. Article
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  7. Estimating the evolutionary fitness of specific synonymous codon changes.bioRxiv : the preprint server for biology · 2026
    Article
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  9. Leveraging FracMinHash Containment for GenomicbioRxiv : the preprint server for biology · 2025
    Article
  10. Review
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  15. Article
  16. Concepts and Methods for Predicting Viral Evolution.Methods in molecular biology (Clifton, N.J.) · 2025
    Article
  17. Concepts and methods for predicting viral evolution.bioRxiv : the preprint server for biology · 2024
    Article
  18. Article
  19. Article
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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

4 authors at 1 institution in 1 country.

Shakibur RahmanCenter for Computational Genetics and Genomics, Department of Biology, Temple University, Philadelphia, PA 19122.ORCID 0000-0001-7658-1823
Sergei L Kosakovsky PondInstitute for Genomics and Evolutionary Medicine, Department of Biology, Temple University, Philadelphia, PA 19122.ORCID 0000-0003-4817-4029
Andrew WebbCenter for Computational Genetics and Genomics, Department of Biology, Temple University, Philadelphia, PA 19122.
Jody HeyCenter for Computational Genetics and Genomics, Department of Biology, Temple University, Philadelphia, PA 19122; hey@temple.edu.ORCID 0000-0001-5358-6488
Temple University · US

Funding

Turning big data analysis infrastructure for HIV researchR01AI134384 · NIAID · PENNSYLVANIA STATE UNIVERSITY, THE · PI NEKRUTENKO, ANTON, POND, SERGEI L KOSAKOVSKY · 2017 to 2021
$4.2M
HIV Evolution Defines Virus-Host/Drug Interactions In Viremic and Aviremic PeopleR01AI140970 · NIAID · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Ronald I Swanstrom, Shuntai Zhou · 2018 to 2026
$4.1M
HyPhy: Molecular Evolutionary AnalysesR01GM093939 · NIGMS · TEMPLE UNIV OF THE COMMONWEALTH · PI MUSE, SPENCER V., POND, SERGEI L KOSAKOVSKY · 2010 to 2018
$2.5M
NIAID NIH HHS R01 AI134384NIAID NIH HHS R01 AI140970NIGMS NIH HHS R01 GM093939
6 · The paper itself

Abstract

Synonymous codon substitutions are not always selectively neutral as revealed by several types of analyses, including studies of codon usage patterns among genes. We analyzed codon usage in 13 bacterial genomes sampled from across a large order of bacteria, Enterobacterales, and identified presumptively neutral and selected classes of synonymous substitutions. To estimate substitution rates, given a neutral/selected classification of synonymous substitutions, we developed a flexible [Formula: see text] substitution model that allows multiple classes of synonymous substitutions. Under this multiclass synonymous substitution (MSS) model, the denominator of [Formula: see text] includes only the strictly neutral class of synonymous substitutions. On average, the value of [Formula: see text] under the MSS model was 80% of that under the standard codon model in which all synonymous substitutions are assumed to be neutral. The indication is that conventional [Formula: see text] analyses overestimate these values and thus overestimate the frequency of positive diversifying selection and underestimate the strength of purifying selection. To quantify the strength of selection necessary to explain this reduction, we developed a model of selected compensatory codon substitutions. The reduction in synonymous substitution rate, and thus the contribution that selection makes to codon bias variation among genes, can be adequately explained by very weak selection, with a mean product of population size and selection coefficient, [Formula: see text].

Indexed as

Genome, BacterialModels, GeneticSilent MutationBacterial LoadBiological EvolutionCodonEnterobacteriaceaeGenetic VariationModels, StatisticalSelection, GeneticCodoncodon-substitution modelsdN/dSnatural selectionneutral model

Identifiers

PMID33972434
PMCPMC8157954
OpenAlexW3162509249

What OpenQuestion holds

Textmetadata
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.