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An analysis of codon utilization patterns in the chloroplast genomes of three species of Coffea

Authors :
Yaqi Li
Xiang Hu
Mingkun Xiao
Jiaxiong Huang
Yuqiang Lou
Faguang Hu
Xingfei Fu
Yanan Li
Hongyan He
Jinhuan Cheng
Source :
BMC Genomic Data, Vol 24, Iss 1, Pp 1-10 (2023)
Publication Year :
2023
Publisher :
BMC, 2023.

Abstract

Abstract Background The chloroplast genome of plants is known for its small size and low mutation and recombination rates, making it a valuable tool in plant phylogeny, molecular evolution, and population genetics studies. Codon usage bias, an important evolutionary feature, provides insights into species evolution, gene function, and the expression of exogenous genes. Coffee, a key crop in the global tropical agricultural economy, trade, and daily life, warrants investigation into its codon usage bias to guide future research, including the selection of efficient heterologous expression systems for coffee genetic transformation. Results Analysis of the codon utilization patterns in the chloroplast genomes of three Coffea species revealed a high degree of similarity among them. All three species exhibited similar base compositions, with high A/T content and low G/C content and a preference for A/T-ending codons. Among the 30 high-frequency codons identified, 96.67% had A/T endings. Fourteen codons were identified as ideal. Multiple mechanisms, including natural selection, were found to influence the codon usage patterns in the three coffee species, as indicated by ENc-GC3s mapping, PR2 analysis, and neutral analysis. Nicotiana tabacum and Saccharomyces cerevisiae have potential value as the heterologous expression host for three species of coffee genes. Conclusion This study highlights the remarkable similarity in codon usage patterns among the three coffee genomes, primarily driven by natural selection. Understanding the gene expression characteristics of coffee and elucidating the laws governing its genetic evolution are facilitated by investigating the codon preferences in these species. The findings can enhance the efficacy of exogenous gene expression and serve as a basis for future studies on coffee evolution.

Details

Language :
English
ISSN :
27306844
Volume :
24
Issue :
1
Database :
Directory of Open Access Journals
Journal :
BMC Genomic Data
Publication Type :
Academic Journal
Accession number :
edsdoj.71da1e5c58d04f91988e52d71e89a596
Document Type :
article
Full Text :
https://doi.org/10.1186/s12863-023-01143-4