Near-cognate tRNAs dominate codon decoding times in simulated ribosomes

The codon sequence of messenger RNAs affects ribosome dynamics, translational control, and transcript stability. Here, we describe an advanced computational modelling tool and its application to studying the effect of different tRNA species on the codon decoding process. Using tRNA abundance data for Saccharomyce cerevisiae, we show that simulated codon decoding times are sensitive to the abundance of near- and non-cognate tRNAs as well as cognate species. Codon decoding times predicted by models that accurately define near-cognate tRNAs and that are parameterized with high-quality tRNA abundance datasets are highly similar to ribosome dwell times determined using experimental ribosome footprinting data, thereby confirming both the importance of near-cognate tRNAs for the codon decoding process and the general accuracy of our modelling tools.

Authors

Institutions

Publication Details

Journal
Nucleic Acids Research
Published
2025-10-28
DOI
https://doi.org/10.1093/nar/gkaf1164
Primary Topic
RNA and protein synthesis mechanisms
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Near-cognate tRNAs dominate codon decoding times in simulated ribosomes

C. Mark Smales, Anne E. Willis, James Thaventhiran, Tobias von der Haar et al.
Nucleic Acids Research
RNA and protein synthesis mechanisms
article

Near-cognate tRNAs dominate codon decoding times in simulated ribosomes

C. Mark Smales, Anne E. Willis, James Thaventhiran, Tobias von der Haar, Emma Hargreaves, Sathishkumar Kurusamy, Fábio de Lima Hedayioglu
article en

Abstract

The codon sequence of messenger RNAs affects ribosome dynamics, translational control, and transcript stability. Here, we describe an advanced computational modelling tool and its application to studying the effect of different tRNA species on the codon decoding process. Using tRNA abundance data for Saccharomyce cerevisiae, we show that simulated codon decoding times are sensitive to the abundance of near- and non-cognate tRNAs as well as cognate species. Codon decoding times predicted by models that accurately define near-cognate tRNAs and that are parameterized with high-quality tRNA abundance datasets are highly similar to ribosome dwell times determined using experimental ribosome footprinting data, thereby confirming both the importance of near-cognate tRNAs for the codon decoding process and the general accuracy of our modelling tools.

Nucleic Acids ResearchVol. 53(20)
MRC Laboratory of Molecular Biology (GB), University of Kent (GB), Bridge University (SS), Io Therapeutics (United States) (US), National Institute for Bioprocessing Research and Training (IE)
Wellcome Trust, Directorate for Biological Sciences, Medical Research Council
Openalex Percentile: Top 70%
RNA and protein synthesis mechanisms
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.