Evidence map›Paper›PMID 41784298›Full record

ArticleGenome biology and evolution2026

How Does Transcription-Associated Mutagenesis Shape tRNA Microevolution?

Hector Baños, Ling Wang, Corinne Simonti, Annalise B Paaby, Christine Heitsch

Abstract read
In one paragraph

Article in Genome biology and evolution, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Hector BañosDepartment of Mathematics, California State University, San Bernardino, CA 92407, USA.ORCID 0000-0001-5769-2544
Ling WangSchool of Biological Sciences, Georgia Institute of Technology, Atlanta, GA 30332, USA.ORCID 0000-0002-3500-8171
Corinne SimontiSchool of Biological Sciences, Georgia Institute of Technology, Atlanta, GA 30332, USA.ORCID 0000-0003-0245-6194
Annalise B PaabySchool of Biological Sciences, Georgia Institute of Technology, Atlanta, GA 30332, USA.ORCID 0000-0003-1422-047X
Christine HeitschSchool of Mathematics, Georgia Institute of Technology, Atlanta, GA 30332, USA.ORCID 0000-0001-7939-5452

Funding

ConProject-001R01GM126554 · NIGMS · GEORGIA INSTITUTE OF TECHNOLOGY · PI HEITSCH, CHRISTINE E · 2017 to 2021
$1.7M
National Science Foundation DMS-1764406National Science Foundation DMS-2331660National Science Foundation IOS-2319796NIH HHS R01GM126554Simons Foundation/SFARI 594594
6 · The paper itself

Abstract

Transfer RNAs (tRNAs) are among the most highly conserved and frequently transcribed genes. Recent studies have demonstrated that tRNAs experience exceptionally high rates of transcription-associated mutagenesis (TAM) as well as strong purifying selection. How the mutational input of TAM, which induces a nonuniform distribution of nucleotide substitutions, affects the fitness of tRNA molecules is unclear. Secondary structure in tRNAs is strongly conserved over macroevolutionary time, suggesting that mutations that disrupt paired sites may be especially deleterious, and TAM-induced mutations primarily involve nucleotide transitions, which tend to preserve base-pairing stability. To examine how TAM affects tRNA molecule fitness and shapes tRNA evolution over short timescales, we analyzed tRNA allelic variation in contemporary Caenorhabditis elegans strains. We propose a model of tRNA microevolution driven by TAM and demonstrate that the observed secondary structure characteristics align with our predicted TAM-biased patterns. Furthermore, we developed a continuous Markov substitution model that incorporates TAM-specific mutational biases. This TAM-biased model fits the C. elegans tRNA data more effectively than standard models, such as the general time-reversible model. Based on these results, we conclude that tRNAs in natural populations carry substantial levels of structure-destabilizing mutations, which may be tolerated but nevertheless likely induce meaningful fitness costs. Our findings are consistent with recent experimental studies on tRNA fitness in yeast, but challenge prior theoretical and computational analyses that emphasize RNA base-pairing as a primary determinant in genotype-phenotype systems.

Indexed as

Caenorhabditis elegansEvolution, MolecularMutagenesisRNA, TransferTranscription, GeneticAnimalsMutationNucleic Acid ConformationRNA, TransferMarkov substitution modelMircroevolutionTranscription-associated mutagenesistRNA

Identifiers

PMID41784298
PMCPMC13034040

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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.