Literature DB >> 15645075

Analysis of synonymous codon usage bias in Chlamydia.

Hui Lü1, Wei-Ming Zhao, Yan Zheng, Hong Wang, Mei Qi, Xiu-Ping Yu.   

Abstract

Chlamydiae are obligate intracellular bacterial pathogens that cause ocular and sexually transmitted diseases, and are associated with cardiovascular diseases. The analysis of codon usage may improve our understanding of the evolution and pathogenesis of Chlamydia and allow reengineering of target genes to improve their expression for gene therapy. Here, we analyzed the codon usage of C. muridarum, C. trachomatis (here indicating biovar trachoma and LGV), C. pneumoniae, and C. psittaci using the codon usage database and the CUSP (Create a codon usage table) program of EMBOSS (The European Molecular Biology Open Software Suite). The results show that the four genomes have similar codon usage patterns, with a strong bias towards the codons with A and T at the third codon position. Compared with Homo sapiens, the four chlamydial species show discordant seven or eight preferred codons. The ENC (effective number of codons used in a gene)-plot reveals that the genetic heterogeneity in Chlamydia is constrained by the G+C content, while translational selection and gene length exert relatively weaker influences. Moreover, mutational pressure appears to be the major determinant of the codon usage variation among the chlamydial genes. In addition, we compared the codon preferences of C. trachomatis with those of E. coli, yeast, adenovirus and Homo sapiens. There are 23 codons showing distinct usage differences between C. trachomatis and E. coli, 24 between C. trachomatis and adenovirus, 21 between C. trachomatis and Homo sapiens, but only six codons between C. trachomatis and yeast. Therefore, the yeast system may be more suitable for the expression of chlamydial genes. Finally, we compared the codon preferences of C. trachomatis with those of six eukaryotes, eight prokaryotes and 23 viruses. There is a strong positive correlation between the differences in coding GC content and the variations in codon bias (r=0.905, P<0.001). We conclude that the variation of codon bias between C. trachomatis and other organisms is much less influenced by phylogenetic lineage and primarily determined by the extent of disparities in GC content.

Entities:  

Mesh:

Substances:

Year:  2005        PMID: 15645075      PMCID: PMC7110193          DOI: 10.1093/abbs/37.1.1

Source DB:  PubMed          Journal:  Acta Biochim Biophys Sin (Shanghai)        ISSN: 1672-9145            Impact factor:   3.848


  25 in total

1.  Synonymous codon usage in Cryptosporidium parvum: identification of two distinct trends among genes.

Authors:  R J Grocock; P M Sharp
Journal:  Int J Parasitol       Date:  2001-04       Impact factor: 3.981

2.  Ribosome traffic in E. coli and regulation of gene expression.

Authors:  T Lesnik; J Solomovici; A Deana; R Ehrlich; C Reiss
Journal:  J Theor Biol       Date:  2000-01-21       Impact factor: 2.691

3.  DNA G+C content of the third codon position and codon usage biases of human genes.

Authors:  N Sueoka; Y Kawanishi
Journal:  Gene       Date:  2000-12-30       Impact factor: 3.688

4.  Noise in eukaryotic gene expression.

Authors:  William J Blake; Mads KAErn; Charles R Cantor; J J Collins
Journal:  Nature       Date:  2003-04-10       Impact factor: 49.962

5.  Codon usage between genomes is constrained by genome-wide mutational processes.

Authors:  Swaine L Chen; William Lee; Alison K Hottes; Lucy Shapiro; Harley H McAdams
Journal:  Proc Natl Acad Sci U S A       Date:  2004-02-27       Impact factor: 11.205

6.  What drives codon choices in human genes?

Authors:  S Karlin; J Mrázek
Journal:  J Mol Biol       Date:  1996-10-04       Impact factor: 5.469

Review 7.  Chlamydial infections (third of three parts).

Authors:  J Schachter
Journal:  N Engl J Med       Date:  1978-03-09       Impact factor: 91.245

8.  Gene expressivity is the main factor in dictating the codon usage variation among the genes in Pseudomonas aeruginosa.

Authors:  S K Gupta; T C Ghosh
Journal:  Gene       Date:  2001-07-25       Impact factor: 3.688

9.  Evidence of chronic Chlamydia pneumoniae infection in patients with Behçet's disease.

Authors:  Ergin Ayaşlioğlu; Nurşen Düzgün; Emel Erkek; Ali Inal
Journal:  Scand J Infect Dis       Date:  2004

10.  Analysis of synonymous codon usage in SARS Coronavirus and other viruses in the Nidovirales.

Authors:  Wanjun Gu; Tong Zhou; Jianmin Ma; Xiao Sun; Zuhong Lu
Journal:  Virus Res       Date:  2004-05       Impact factor: 3.303

View more
  19 in total

1.  Codon bias is a major factor explaining phage evolution in translationally biased hosts.

Authors:  Alessandra Carbone
Journal:  J Mol Evol       Date:  2008-02-20       Impact factor: 2.395

2.  Analysis of synonymous codon usage patterns in different plant mitochondrial genomes.

Authors:  Meng Zhou; Xia Li
Journal:  Mol Biol Rep       Date:  2008-11-14       Impact factor: 2.316

3.  Evidence for Exaptation of the Marchantia polymorpha M20D Peptidase MpILR1 into the Tracheophyte Auxin Regulatory Pathway.

Authors:  James J Campanella; Stephanie Kurdach; Joy Bochis; John V Smalley
Journal:  Plant Physiol       Date:  2018-06-29       Impact factor: 8.340

4.  Characterization of synonymous codon usage bias in the pseudorabies virus US1 gene.

Authors:  Meili Li; Zhiyao Zhao; Jianhong Chen; Bingyun Wang; Zi Li; Jian Li; Mingsheng Cai
Journal:  Virol Sin       Date:  2012-10-11       Impact factor: 4.327

5.  Analysis of codon usage in Newcastle disease virus.

Authors:  Meng Wang; Yong-Sheng Liu; Jian-Hua Zhou; Hao-Tai Chen; Li-Na Ma; Yao-Zhong Ding; Wen-Qian Liu; Yuan-Xing Gu; Jie Zhang
Journal:  Virus Genes       Date:  2011-01-20       Impact factor: 2.332

6.  Protein evolutionary rates correlate with expression independently of synonymous substitutions in Helicobacter pylori.

Authors:  Björn Sällström; Ramy A Arnaout; Wagied Davids; Pär Bjelkmar; Siv G E Andersson
Journal:  J Mol Evol       Date:  2006-04-01       Impact factor: 2.395

7.  Analysis of synonymous codon usage in the UL24 gene of duck enteritis virus.

Authors:  Renyong Jia; Anchun Cheng; Mingshu Wang; Hongyi Xin; Yufei Guo; Dekang Zhu; Xuefeng Qi; Lichan Zhao; Han Ge; Xiaoyue Chen
Journal:  Virus Genes       Date:  2008-10-29       Impact factor: 2.332

8.  Synonymous codon usage analysis of thirty two mycobacteriophage genomes.

Authors:  Sameer Hassan; Vasantha Mahalingam; Vanaja Kumar
Journal:  Adv Bioinformatics       Date:  2010-02-01

9.  Adaptive evolution of the Chlamydia trachomatis dominant antigen reveals distinct evolutionary scenarios for B- and T-cell epitopes: worldwide survey.

Authors:  Alexandra Nunes; Paulo J Nogueira; Maria J Borrego; João P Gomes
Journal:  PLoS One       Date:  2010-10-05       Impact factor: 3.240

10.  Cloning, bioinformatics and the enzyme activity analyses of a phenylalanine ammonia-lyase gene involved in dragon's blood biosynthesis in Dracaena cambodiana.

Authors:  Xing-Hong Wang; Min Gong; Liang Tang; Shui Zheng; Ji-Dong Lou; Lingcheng Ou; José Gomes-Laranjo; Changhe Zhang
Journal:  Mol Biol Rep       Date:  2012-10-29       Impact factor: 2.316

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.