ZOU D J, GUO B R, LIU J Q, et al. Characterization of Codon Usage Bias in the Chloroplast Genome of Salix matsudana Koidz and Analysis of Its Driving Factors[J]. Journal of Southwest Forestry University, 2026, 46(2): 1–9. DOI: 10.11929/j.swfu.202503017
Citation: ZOU D J, GUO B R, LIU J Q, et al. Characterization of Codon Usage Bias in the Chloroplast Genome of Salix matsudana Koidz and Analysis of Its Driving Factors[J]. Journal of Southwest Forestry University, 2026, 46(2): 1–9. DOI: 10.11929/j.swfu.202503017

Characterization of Codon Usage Bias in the Chloroplast Genome of Salix matsudana Koidz and Analysis of Its Driving Factors

  • Salix matsudana Koidz is a plant of both ecological and economic value. To uncover the codon usage bias (CUB) and its driving factors in the chloroplast genome of S. matsudana, CodonW and CUSP software were used to analyze the codon usage patterns of 51 filtered protein-coding sequences. The results showed that the GC content of the GC1, GC2, GC3and the GCall content of the codons in the chloroplast genome of S. matsudana were 45.85%, 37.77%, 29.41%, and 37.67%, respectively. The effective number of codons (ENC) values ranged from 33.59 to 57.39, with an average of 45.49, and 33 genes had ENC values exceeding 45, indicating weak codon usage bias in most protein-coding sequences. Additionally, 32 codons had relative synonymous codon usage (RSCU) values ≥1, and these codons were more likely to end with A or U. Further neutrality plot, ENC-plot, and PR2-plot analyses suggested that mutation and natural selection commonly influenced codon usage bias, with natural selection being the predominant factor. Through the analysis, 13 optimal codons were identified in the chloroplast genome of S. matsudana, providing theoretical support for its genetic improvement and gene engineering applications.
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