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Re-examining Correlations Between Synonymous Codon Usage and Protein Bond Angles in Escherichia coli
Opetunde J Akeju1, Alexander L Cope2,3,4
1New Jersey City University, Jersey City, New Jersey, USA.
Genome Biology and Evolution
|April 15, 2024
Summary
Synonymous codon usage and amino acid dihedral bond angles are linked, but gene expression influences this correlation. Accounting for mutation bias and selection-mutation-drift equilibrium reveals the true drivers of these patterns.
Area of Science:
- Molecular Biology
- Bioinformatics
- Genetics
Background:
- Recent work suggested a link between synonymous codon usage and amino acid dihedral bond angles.
- This prior analysis did not account for gene expression, a major factor influencing codon usage.
Purpose of the Study:
- To re-examine the relationship between codon usage and amino acid dihedral bond angles.
- To investigate the impact of gene expression, mutation bias, and selection on this correlation.
Main Methods:
- Applied Rosenberg et al.'s approach to simulated protein-coding sequences.
- Simulations included random codon usage, mutation bias, and selection-mutation-drift equilibrium.
- Analyzed correlations between dihedral bond angles and codon usage in real and simulated sequences.
Main Results:
- Correlations between dihedral bond angle and codon usage were observed even with random codon usage, suggesting potential noise.
- Simulated sequences under selection-mutation-drift equilibrium showed strong agreement (91%) with real sequence analysis.
- This indicates that mutation bias, selection for translation efficiency, and gene expression interplay to drive the observed correlations.
Conclusions:
- The correlation between codon usage and dihedral bond angles is likely an artifact of varying codon usage across genes.
- Factors like mutation bias, natural selection, and gene expression must be controlled for when identifying novel codon usage patterns.
- This study highlights the importance of considering multi-factorial influences in molecular sequence analysis.
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