Evidence map›Paper›PMID 40591602›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2025

Macroevolutionary changes in natural selection on codon usage reflect evolution of the tRNA pool across a budding yeast subphylum.

Alexander L Cope, Premal Shah

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Alexander L CopeDepartment of Genetics, Rutgers University, Piscataway, NJ 08854.ORCID 0000-0002-5756-7812
Premal ShahDepartment of Genetics, Rutgers University, Piscataway, NJ 08854.ORCID 0000-0002-8424-4218

Funding

IRACDA at Rutgers: INSPIRE Postdoctoral Training ProgramK12GM093854 · NIGMS · UNIV OF MED/DENT NJ-R W JOHNSON MED SCH · PI Detlev Boison, Gary A. Brewer · 2010 to 2026
$14.7M
Dynamics and evolution of translational regulationR35GM124976 · NIGMS · RUTGERS, THE STATE UNIV OF N.J. · PI SHAH, PREMAL R · 2017 to 2021
$1.9M
HHS | NIH | National Institute of General Medical Sciences (NIGMS) GM093854National Science Foundation (NSF) DBI 1936046NIGMS NIH HHS K12 GM093854NIGMS NIH HHS R35 GM124976
6 · The paper itself

Abstract

Across taxonomical domains, synonymous codons of an amino acid are found to be used at unequal frequencies within genomes. This codon usage bias (CUB) is highly variable across species. Genome-wide CUB reflects a balance between adaptive and nonadaptive microevolutionary processes within a species. Variation in microevolutionary processes results in across-species variation in CUB. As CUB is tightly linked to important molecular and biophysical processes, it is critical to understand how changes to these processes are linked to changes in microevolutionary processes. We employed a population genetics model to quantify natural selection and mutation biases on a per-codon basis across the Saccharomycotina budding yeast subphylum. We find that the strength of natural selection and mutation biases varied significantly between closely related yeasts. Across-species variation in natural selection reflected the evolution of tRNA gene copy number (tGCN). Additionally, we find that changes to tRNA modification expression can contribute to changes in natural selection across species independent of changes to tGCN. Both lines of evidence support the link between the evolution of the tRNA pool and natural selection in codon usage through changes in the translation efficiency of a codon. Furthermore, we show that changes to tGCN often reflected changes in genome-wide GC%, suggesting changes in the tRNA pool reflect changes in mutation biases. Our work establishes how changes in microevolutionary processes impact changes in molecular mechanisms, ultimately shaping the macroevolutionary variation of a trait.

Indexed as

CodonCodon UsageEvolution, MolecularRNA, TransferSaccharomycetalesSelection, GeneticGene DosageGenome, FungalMutationCodonRNA, Transferbudding yeastscodon usage biaspopulation geneticstranslational selection

Identifiers

PMID40591602
PMCPMC12260425

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Registered trials

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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.