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Updated: Aug 9, 2025

De novo Identification of Actively Translated Open Reading Frames with Ribosome Profiling Data
Published on: February 18, 2022
Reading Frame Retrieval of Genes: A New Parameter of Codon Usage Based on the Circular Code Theory
Christian J Michel1, Jean-Sébastien Sereni2
1Theoretical Bioinformatics, ICube, C.N.R.S., University of Strasbourg, 300 Boulevard Sébastien Brant, 67400, Illkirch, France. c.michel@unistra.fr.
A new function quantifies gene reading frame retrieval (RFR) based on codon usage. This RFR property is enhanced in larger genes and with greater codon usage dispersion across bacteria, eukaryotes, and archaea.
Area of Science:
- Genomics
- Bioinformatics
- Computational Biology
Background:
- Gene reading frame retrieval (RFR) is crucial for accurate protein synthesis.
- Codon usage patterns within a genome can influence RFR.
- Understanding RFR mechanisms across different life forms is essential.
Purpose of the Study:
- To introduce a novel function, f, for quantifying RFR based on codon usage.
- To investigate the relationship between RFR, gene size, and codon usage dispersion across diverse genomes.
- To explore the potential of RFR as a genomic classification tool.
Main Methods:
- Definition and application of the RFR function (f) across bacterial, eukaryotic, and archaeal genomes.
- Analysis of RFR as a function of mean codons per gene ([Formula: see text]).
- Spearman's rank correlation analysis between codon usage dispersion (d) and the RFR function (f).
Main Results:
- A universal property identified: RFR is enhanced in larger genes across all kingdoms.
- A strong negative correlation observed between codon usage dispersion and RFR (p-values < [Formula: see text] in bacteria, < [Formula: see text] in eukaryotes, < [Formula: see text] in archaea).
- The RFR function reveals a distinct genomic organization with a 'genome centre' and 'genome arms'.
Conclusions:
- Reading frame retrieval is enhanced by codon usage dispersion.
- The RFR function offers a new perspective on genome structure and organization.
- The RFR function holds potential for future genomic classification, alone or combined with other methods.
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