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Published on: April 26, 2019
Codon usage divergence of important functional genes in Mycobacterium tuberculosis
Gun Li1, Liang Zhang1, Pei Xue1
1Laboratory for Biodiversity Science, Department of Biomedical Engineering, School of Electronic Information Engineering, Xi'An Technological University, Xi'An, China.
Investigating codon usage in Mycobacterium tuberculosis reveals significant biases and varying gene divergence. Highly divergent genes, like those in the membrane protein family, contrast with conserved drug targets such as ag85A and sigH.
Area of Science:
- Genomics
- Molecular Biology
- Microbiology
Background:
- Sequence characteristics of Mycobacterium tuberculosis are crucial for understanding host adaptation, metabolism, genetic diversity, drug resistance, and infectivity.
- Analyzing codon usage patterns in Mycobacterium tuberculosis provides significant insights into its genetic makeup and evolutionary strategies.
Purpose of the Study:
- To explore the codon usage patterns of coding sequences in 200 complete genomes of Mycobacterium tuberculosis.
- To evaluate the divergence degree of 21 specific functional genes based on their codon usage parameters.
Main Methods:
- Downloaded 200 random complete Mycobacterium tuberculosis genomes from NCBI.
- Calculated codon bias index, effective number of codons, relative synonymous codon usage, and base composition for 21 functional genes.
- Assessed gene divergence by analyzing differences in relative synonymous codon usage and standard deviations of codon usage parameters.
Main Results:
- All analyzed genes exhibited high GC content and significant codon usage bias for amino acids.
- Genes with a high effective number of codons, such as those in the Myco-bacterial membrane protein large family, showed higher divergence.
- Genes with lower divergence, including ag85A and sigH, were highly conserved and identified as potential drug targets.
Conclusions:
- Codon usage patterns in Mycobacterium tuberculosis reflect gene divergence and conservation.
- Understanding these patterns aids in comprehending Mycobacterium tuberculosis evolution and developing gene-based tuberculosis control strategies.
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