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Updated: Feb 6, 2026

Author Spotlight: Streamlining Rice Breeding with CRISPR/Cas for Obtaining Optimal Phenotypic and Agronomic Traits
Published on: January 3, 2025
Rapid divergence of codon usage patterns within the rice genome.
Huai-Chun Wang1, Donal A Hickey
1Department of Mathematics and Statistics, Dalhousie University, Halifax, Nova Scotia, B3H 2G1, Canada. hcwang@mathstat.dal.ca
Mutational bias, not translational selection, drives significant codon usage variation within genomes. This study reveals that differing GC content in rice genes, influenced by mutational bias and negative selection, explains codon heterogeneity.
Area of Science:
- Genomics
- Evolutionary Biology
- Molecular Biology
Background:
- Synonymous codon usage exhibits considerable variation across and within genomes.
- The drivers of this variation, whether translational selection or mutational bias, remain debated.
Purpose of the Study:
- To differentiate the roles of mutational bias and translational selection in shaping codon usage patterns.
- To investigate codon usage heterogeneity within and between plant genomes.
Main Methods:
- Intra-genomic and inter-genomic comparisons of synonymous codon usage.
- Analysis of nucleotide content, particularly GC content, in relation to codon usage.
- Correlation analysis between codon bias and gene length.
Main Results:
- Rice genes display extreme codon usage heterogeneity, strongly correlated with nucleotide content (GC content).
- Arabidopsis genes show minimal variation in codon usage and nucleotide content.
- Evidence suggests rapid GC content evolution in some rice genes drives codon usage differences.
- Codon bias is negatively correlated with gene length.
Conclusions:
- Mutational bias can lead to substantial evolutionary divergence in codon usage.
- Heterogeneity in rice codon usage is explained by a balance between mutational biases and negative selection proportional to coding sequence length.
- Variations in synonymous codon usage are not primarily driven by selection on translational efficiency.
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