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Updated: Nov 8, 2025

Identifying Amino Acid Overproducers Using Rare-Codon-Rich Markers
Published on: June 24, 2019
Inferring Adaptive Codon Preference to Understand Sources of Selection Shaping Codon Usage Bias.
Janaina Lima de Oliveira1,2, Atahualpa Castillo Morales2, Laurence D Hurst2
1Instituto de Biologia, Universidade Federal da Bahia, Salvador, Bahia, 40170-115, Brazil.
This study quantifies adaptive codon preference in Dictyostelium discoideum, revealing selection shapes codon usage bias independently of GC-biased gene conversion. Findings suggest selection favors preferred codons for translation and stability.
Area of Science:
- Genomics
- Molecular Biology
- Evolutionary Biology
Background:
- Codon usage bias (CUB) reflects forces like mutation and selection.
- Distinguishing selection from neutral processes, including GC-biased gene conversion (gBGC), is challenging.
- Previous methods inferred selection from CUB in highly expressed genes, with potential gBGC interference.
Purpose of the Study:
- To quantify "adaptive codon preference" as a genome-wide measure of selection on CUB.
- To investigate CUB drivers in Dictyostelium discoideum, a species lacking detectable gBGC.
- To assess the influence of expression levels and other factors on CUB.
Main Methods:
- Analysis of CUB in Dictyostelium discoideum, an AT-rich genome with no evidence of gBGC.
- Inference of neutral CUB under mutational equilibrium to define adaptive codon preference.
- Comparison of adaptive codon preference with expression-associated CUB.
Main Results:
- No evidence of gBGC was found in Dictyostelium discoideum.
- Purifying selection favors adaptive codon preference, with preferred codons being AT-rich, not GC-rich.
- Expression-associated preference partially aligns with adaptive codon preference, indicating selection beyond high expression.
Conclusions:
- Adaptive codon preference provides a robust, genome-wide measure of selection on CUB.
- Selection, not gBGC, is a primary driver of CUB in Dictyostelium discoideum.
- Factors like mRNA translation and stability influence adaptive codon preference, offering a framework for future CUB research.
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