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Published on: April 8, 2017
Genome-wide codon usage pattern analysis reveals the correlation between codon usage bias and gene expression in
Xu-Yuan Liu1, Yu Li1, Kai-Kai Ji1
1Key Laboratory of Genetics and Germplasm Innovation of Tropical Special Forest Trees and Ornamental Plants (Ministry of Education), Hainan Key Laboratory for Biology of Tropical Ornamental Plant Germplasm, College of Forestry, Hainan University, Haikou 570228, China.
Cuscuta australis protein-coding genes and pseudogenes show distinct codon usage biases, influenced more by natural selection than mutation. Gene expression levels correlate with codon bias, with highly expressed genes favoring G/C-ending codons.
Area of Science:
- Molecular Biology
- Genomics
- Evolutionary Biology
Background:
- The parasitic plant Cuscuta australis exhibits unique adaptations.
- Understanding gene expression and evolution in parasitic plants requires analyzing codon usage patterns.
Purpose of the Study:
- To systematically analyze codon usage patterns in protein-coding sequences and pseudogenes of C. australis.
- To investigate the factors influencing codon bias, including mutation pressure and natural selection.
- To explore the relationship between gene expression levels and codon usage bias.
Main Methods:
- Comparative analysis of codon usage in protein-coding sequences and pseudogenes.
- Application of neutrality plots and effective number of codons analysis.
- Correlation analysis between gene expression levels and codon usage bias.
Main Results:
- Both protein-coding sequences and pseudogenes in C. australis display an A/U bias at the third codon position.
- Protein-coding sequences prefer G/C-ending optimal codons, while pseudogenes prefer A/U-ending optimal codons.
- Natural selection is a stronger driver of codon usage bias than mutation pressure.
- Gene expression levels are positively correlated with codon usage bias; highly expressed genes show greater bias and favor G/C-ending codons.
Conclusions:
- Codon usage patterns in C. australis protein-coding genes and pseudogenes are distinct and shaped by natural selection.
- The observed codon bias is linked to gene expression levels, suggesting optimization for translation efficiency.
- These findings provide insights into the molecular mechanisms underlying gene evolution and adaptation in parasitic plants.
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