4.5 Review

Codon usage bias

Journal

MOLECULAR BIOLOGY REPORTS
Volume 49, Issue 1, Pages 539-565

Publisher

SPRINGER
DOI: 10.1007/s11033-021-06749-4

Keywords

Anticodon; Codon adaptation; Codon optimization; CUB indices; Genetic code; Synonymous codon; tRNA abundance

Funding

  1. Indian Council of Agricultural Research, New Delhi
  2. Centre for Plant Molecular Biology, Tamil Nadu Agricultural University, Coimbatore

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Codon usage bias is a common phenomenon observed in bacteria, plants, and animals, with consistent and characteristic patterns across different species and genes. The formation of codon bias is influenced by factors such as genome composition, gene expression levels, and gene length. Understanding codon usage bias can provide insights into phylogenetic relationships and gene evolution among organisms.
Codon usage bias is the preferential or non-random use of synonymous codons, a ubiquitous phenomenon observed in bacteria, plants and animals. Different species have consistent and characteristic codon biases. Codon bias varies not only with species, family or group within kingdom, but also between the genes within an organism. Codon usage bias has evolved through mutation, natural selection, and genetic drift in various organisms. Genome composition, GC content, expression level and length of genes, position and context of codons in the genes, recombination rates, mRNA folding, and tRNA abundance and interactions are some factors influencing codon bias. The factors shaping codon bias may also be involved in evolution of the universal genetic code. Codon-usage bias is critical factor determining gene expression and cellular function by influencing diverse processes such as RNA processing, protein translation and protein folding. Codon usage bias reflects the origin, mutation patterns and evolution of the species or genes. Investigations of codon bias patterns in genomes can reveal phylogenetic relationships between organisms, horizontal gene transfers, molecular evolution of genes and identify selective forces that drive their evolution. Most important application of codon bias analysis is in the design of transgenes, to increase gene expression levels through codon optimization, for development of transgenic crops. The review gives an overview of deviations of genetic code, factors influencing codon usage or bias, codon usage bias of nuclear and organellar genes, computational methods to determine codon usage and the significance as well as applications of codon usage analysis in biological research, with emphasis on plants.

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