Comprehensive Analysis of Codon Usage Bias in Human Papillomavirus Type 51

Human papillomavirus type 51 (HPV-51) is associated with various cancers, including cervical cancer. Examining the codon usage bias of the organism can offer valuable insights into its evolutionary patterns and its relationship with the host. This study comprehensively analyzed codon usage bias in HPV-51 by examining 64 complete genome sequences sourced from the NCBI GenBank database. Our analysis revealed no noteworthy preference for codon usage in HPV-51 overall. However, there was a noticeable bias towards A/T-ending codons, accompanied by GC3s below 32%. Dinucleotide frequency analysis revealed reduced frequencies for ApA, CpG, and TpC dinucleotides, while CpA and TpG dinucleotides were more frequent than others. Relative Synonymous Codon Usage analysis revealed 30 favored codons, primarily concluding with A/T nucleotides. Further analysis using Parity Rule 2, Effective Number of Codons plot, and neutrality plot indicated a balance between mutational pressure and natural selection, with natural selection being the primary force shaping codon usage bias. The Isoacceptor tRNA Pool analysis indicates that HPV-51 has a higher translation efficiency within the human cellular translational system. Moreover, the Codon Adaptation Index and Relative Codon Deoptimization Index analyses suggested a moderate adaptation of HPV-51 to human codon preferences. Our discoveries offer valuable perspectives on how HPV-51 evolves and uses genetic codes, contributing to a deeper comprehension of its endurance and disease-causing potential.

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Publication Details

Journal
Polish Journal of Microbiology
Published
2024-10-28
DOI
https://doi.org/10.33073/pjm-2024-036
Citations
5
Primary Topic
RNA and protein synthesis mechanisms
Type
article
Field-Weighted Citation Impact
1.17
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article

Comprehensive Analysis of Codon Usage Bias in Human Papillomavirus Type 51

Binbin Lu, Xiaochun Tan, Chaoyue Jiang, Siwen Bao et al.
5 citations
Polish Journal of Microbiology
RNA and protein synthesis mechanisms
1.17
article

Comprehensive Analysis of Codon Usage Bias in Human Papillomavirus Type 51

Binbin Lu, Xiaochun Tan, Chaoyue Jiang, Siwen Bao, Xiaolei Lu, Weifeng Shen
article en
5 citations

Abstract

Human papillomavirus type 51 (HPV-51) is associated with various cancers, including cervical cancer. Examining the codon usage bias of the organism can offer valuable insights into its evolutionary patterns and its relationship with the host. This study comprehensively analyzed codon usage bias in HPV-51 by examining 64 complete genome sequences sourced from the NCBI GenBank database. Our analysis revealed no noteworthy preference for codon usage in HPV-51 overall. However, there was a noticeable bias towards A/T-ending codons, accompanied by GC3s below 32%. Dinucleotide frequency analysis revealed reduced frequencies for ApA, CpG, and TpC dinucleotides, while CpA and TpG dinucleotides were more frequent than others. Relative Synonymous Codon Usage analysis revealed 30 favored codons, primarily concluding with A/T nucleotides. Further analysis using Parity Rule 2, Effective Number of Codons plot, and neutrality plot indicated a balance between mutational pressure and natural selection, with natural selection being the primary force shaping codon usage bias. The Isoacceptor tRNA Pool analysis indicates that HPV-51 has a higher translation efficiency within the human cellular translational system. Moreover, the Codon Adaptation Index and Relative Codon Deoptimization Index analyses suggested a moderate adaptation of HPV-51 to human codon preferences. Our discoveries offer valuable perspectives on how HPV-51 evolves and uses genetic codes, contributing to a deeper comprehension of its endurance and disease-causing potential.

Polish Journal of MicrobiologyVol. 73(4)
Jiaxing University (CN), First Hospital of Jiaxing (CN)
Good health and well-being
Openalex Percentile: Top 21%
RNA and protein synthesis mechanisms
1.17
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Comprehensive Analysis of Codon Usage Bias in Human Papillomavirus Type 51 — Binbin Lu, Xiaochun Tan, et al. · Polish Journal of Microbiology (2024) | TGRS Research Map | TGRS