Evidence map›Paper›PMID 33871580›Full record

ArticleMolecular biology and evolution2021

Inferring Adaptive Codon Preference to Understand Sources of Selection Shaping Codon Usage Bias.

Janaina Lima de Oliveira, Atahualpa Castillo Morales, Laurence D Hurst, Araxi O Urrutia, Christopher R L Thompson, Jason B Wolf

Open access · goldAbstract 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. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
1.7field-weighted citation impact, top 15% 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

25 citing papers in PubMed, 33 citations in OpenAlex.

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  6. Macroevolutionary changes in natural selection on codon usage reflect evolution of the tRNA pool across a budding yeast subphylum.Proceedings of the National Academy of Sciences of the United States of America · 2025
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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

6 authors at 4 institutions in 3 countries.

Janaina Lima de OliveiraInstituto de Biologia, Universidade Federal da Bahia, Salvador, Bahia, 40170-115, Brazil.ORCID 0000-0002-8018-0210
Atahualpa Castillo MoralesMilner Centre for Evolution and Department of Biology and Biochemistry, University of Bath, Claverton Down, Bath, BA2 7AY, UK.
Laurence D HurstMilner Centre for Evolution and Department of Biology and Biochemistry, University of Bath, Claverton Down, Bath, BA2 7AY, UK.ORCID 0000-0002-1002-1054
Araxi O UrrutiaMilner Centre for Evolution and Department of Biology and Biochemistry, University of Bath, Claverton Down, Bath, BA2 7AY, UK.
Christopher R L ThompsonCentre for Life's Origins and Evolution, Department of Genetics, Evolution and Environment, University College London, Darwin Building, Gower Street, London, WC1E 6BT, UK.
Jason B WolfMilner Centre for Evolution and Department of Biology and Biochemistry, University of Bath, Claverton Down, Bath, BA2 7AY, UK.ORCID 0000-0003-3112-6602
University of Bath · GBCentre for Life · GBInstituto de Ecología · MXUniversidade Federal da Bahia · BR

Funding

Biotechnology and Biological Sciences Research Council BB/M007146/1Biotechnology and Biological Sciences Research Council BB/M01035X/1Wellcome TrustWellcome Trust WT095643AIA
6 · The paper itself

Abstract

Alternative synonymous codons are often used at unequal frequencies. Classically, studies of such codon usage bias (CUB) attempted to separate the impact of neutral from selective forces by assuming that deviations from a predicted neutral equilibrium capture selection. However, GC-biased gene conversion (gBGC) can also cause deviation from a neutral null. Alternatively, selection has been inferred from CUB in highly expressed genes, but the accuracy of this approach has not been extensively tested, and gBGC can interfere with such extrapolations (e.g., if expression and gene conversion rates covary). It is therefore critical to examine deviations from a mutational null in a species with no gBGC. To achieve this goal, we implement such an analysis in the highly AT rich genome of Dictyostelium discoideum, where we find no evidence of gBGC. We infer neutral CUB under mutational equilibrium to quantify "adaptive codon preference," a nontautologous genome wide quantitative measure of the relative selection strength driving CUB. We observe signatures of purifying selection consistent with selection favoring adaptive codon preference. Preferred codons are not GC rich, underscoring the independence from gBGC. Expression-associated "preference" largely matches adaptive codon preference but does not wholly capture the influence of selection shaping patterns across all genes, suggesting selective constraints associated specifically with high expression. We observe patterns consistent with effects on mRNA translation and stability shaping adaptive codon preference. Thus, our approach to quantifying adaptive codon preference provides a framework for inferring the sources of selection that shape CUB across different contexts within the genome.

Indexed as

Codon UsageSelection, GeneticAdaptation, BiologicalBase CompositionDictyosteliumProtein BiosynthesisRNA, TransferRNA, Transferbiased gene conversioncodon usage biastranslationweak selection

Identifiers

PMID33871580
PMCPMC8321536
OpenAlexW3153061243

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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.