Mapping the inter- and intra-genic codon-usage landscape in <i>Homo sapiens</i>
Although the genetic code is degenerate, codon selection is nonrandom and reflects significant functional constraints. Codon-usage bias (CUB) acts as a layer of post-transcriptional regulation, influencing messenger RNA (mRNA) stability, translation kinetics, and co-translational protein folding. While CUB is well-characterized in unicellular organisms, its regulatory scope and functional consequences in humans remain complex and less defined. Our study offers a comprehensive evaluation of human codon usage. We report that genes exhibiting the strongest codon bias are enriched in high-stoichiometry biological processes, such as skin development and oxygen/carbon dioxide transport, and harbor significantly fewer synonymous variants than expected (ρ = -0.24, <i>P </i>< 2.2 × 10<sup>-16</sup>). Furthermore, we find that codon optimization is structurally distinct: it is significantly more pronounced in structured protein domains compared to intrinsically disordered regions (IDRs) (Cliff's Δ= 0.26, <i>P </i>< 2.2 × 10<sup>-16</sup>). Consistent with translational selection, the most frequently used codons are supported by higher transfer RNA (tRNA) gene copy numbers (ρ = 0.49, <i>P</i> < 6.4 × 10<sup>-4</sup>). Finally, by correcting for GC3 content, we reveal that the apparent correlation between effective number of codon and adaptation indices (CAI/tAI) vanishes, allowing us to disentangle mutational pressure from translational selection. Collectively, our findings position CUB as a central, evolutionarily conserved regulator of translation and protein folding in humans. Our results provide a comprehensive and integrated view of intergenic and intragenic CUB in humans, reinforcing the biological relevance of synonymous codon choice in shaping translational dynamics and protein biogenesis. This provides a refined framework for interpreting synonymous variation and guiding functional genomics.
Authors
- Brett Trost (ORCID: https://orcid.org/0000-0003-4863-7273)
- Muhammad Arshad Rafiq (ORCID: https://orcid.org/0000-0003-4863-7273)
- V. B. Rana
- Maahil Arshad (ORCID: https://orcid.org/0009-0001-8979-3072)
- Matthew Uchmanowicz
- Stephen W Scherer
Institutions
- University of Toronto (CA)
- Hospital for Sick Children (CA)
- McLaughlin Research Institute (US)
- Algoma University (CA)
Publication Details
- Journal
- NAR Genomics and Bioinformatics
- Published
- 2026-01-06
- DOI
- https://doi.org/10.1093/nargab/lqag024
- Primary Topic
- RNA and protein synthesis mechanisms
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Algoma University