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

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.

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Publication Details

Journal
Proceedings of the National Academy of Sciences
Published
2025-07-01
DOI
https://doi.org/10.1073/pnas.2419889122
Citations
3
Primary Topic
RNA and protein synthesis mechanisms
Type
article
Field-Weighted Citation Impact
2.42

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article

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

Alexander L. Cope, Premal Shah
3 citations
Proceedings of the National Academy of Sciences
RNA and protein synthesis mechanisms
2.42
article

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

Alexander L. Cope, Premal Shah
article en
3 citations

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.

Proceedings of the National Academy of SciencesVol. 122(27)
Rutgers, The State University of New Jersey (US), Johnson University (US), Rutgers Sexual and Reproductive Health and Rights (NL), Environmental and Occupational Health Sciences Institute (US)
National Science Foundation, National Institute of General Medical Sciences
Openalex Percentile: Top 11%
RNA and protein synthesis mechanisms
2.42
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