Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
skip to main content
10.1109/ICCIS.2013.13guideproceedingsArticle/Chapter ViewAbstractPublication PagesConference Proceedingsacm-pubtype
Article

Characterization of Synonymous Codon Usage Bias in the UL19 Gene of Duck Plague Virus (DPV)

Published: 21 June 2013 Publication History

Abstract

The codon usage bias of DPV UL19 gene and 25 reference herpesviruses have been analyzed in this study. This work was performed by program CodonW 1.4, and CUSP and CHIPS of EMBOSS. The results indicated that codons of DPV UL19 gene were strong bias towards the synonymous codons with A or T at the third codon position. The codon adaptation index (CAI), effective number of codons (ENC), and GC3s values indicated synonymous codon usage bias in the UL19 gene of herpesviruses, and this synonymous bias was correlated with host evolution. The plot of ENC against GC3s revealed that factors other than gene composition might contribute to the codon usage among the different herpesviruses. The codon usage bias of DPV UL19 gene was compared with that of E. coli, yeast, and Homo sapiens, which might help us understand the relevant mechanism for biased usage of synonymous codons and select appropriate expression systems to improve the expression of target genes. There were 13 codons showing distinct usage differences between DPV and E. coli; 14, between DPV and yeast; and 25, between DPV and Human. We assumed that the DPV UL19 gene might express more efficiently in the E. coli system, yeast as well.

Recommendations

Comments

Information & Contributors

Information

Published In

cover image Guide Proceedings
ICCIS '13: Proceedings of the 2013 International Conference on Computational and Information Sciences
June 2013
2032 pages
ISBN:9780769550046

Publisher

IEEE Computer Society

United States

Publication History

Published: 21 June 2013

Author Tags

  1. UL19 gene
  2. codon usage bias
  3. duck plague virus

Qualifiers

  • Article

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • 0
    Total Citations
  • 0
    Total Downloads
  • Downloads (Last 12 months)0
  • Downloads (Last 6 weeks)0
Reflects downloads up to 17 Jan 2025

Other Metrics

Citations

View Options

View options

Media

Figures

Other

Tables

Share

Share

Share this Publication link

Share on social media