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Published on: July 6, 2013
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Codon usage bias in human cytomegalovirus and its biological implication
Changyuan Hu1, Jing Chen2, Lulu Ye3
1Department of General Surgery, The First Affiliated Hospital of Wenzhou Medical University, Ouhai District 325035, Wenzhou City, Zhejiang Province, China.
Gene
|May 13, 2014
Summary
Human cytomegalovirus (HCMV) genomes exhibit low codon usage bias, but variations exist between gene types. Mutational pressure, not natural selection, primarily drives this bias, offering insights into HCMV evolution and gene function.
Area of Science:
- Virology
- Molecular Biology
- Genomics
Background:
- Human cytomegalovirus (HCMV) is a widespread pathogen causing significant illness.
- Analyzing viral codon usage provides molecular insights into virus behavior.
- Effective number of codons (ENC), relative synonymous codon usage (RSCU), and codon adaptation index (CAI) are key metrics.
Purpose of the Study:
- To investigate codon usage bias in HCMV genomes.
- To explore correlations between codon usage, nucleotide content, and gene function.
- To determine the primary drivers of codon usage bias in HCMV.
Main Methods:
- Analysis of approximately 160 coding sequences (CDS) from 17 HCMV genomes using CodonW software.
- Calculation of ENC, RSCU, CAI, and nucleotide content (GC, GC3s).
- Application of linear and logistic regression analyses.
Main Results:
- HCMV genomes showed overall low codon usage bias (mean ENC=47.619).
- Significant differences in ENC and GC content were observed between host-related and viral-self-function genes.
- ENC values correlated significantly with CAI, GC content, and GC3s; mutational pressure was identified as the main driver.
Conclusions:
- Codon usage bias in HCMV is influenced by mutational pressure, offering insights into viral evolution.
- Distinct codon usage patterns exist for genes involved in viral replication and host interaction.
- This analysis provides a valuable framework for HCMV gene function research.
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