Literature DB >> 11483361

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

S K Gupta1, T C Ghosh.   

Abstract

Codon usage biases of all DNA sequences (length greater than or equal to 300 bp) from the complete genome of Pseudomonas aeruginosa have been analyzed. As P. aeruginosa is a GC-rich organism, G and/or C are expected to predominate in their codons. Overall codon usage data analysis indicates that indeed codons ending in G and/or C are predominant in this organism. But multivariate statistical analysis indicates that there is a single major trend in the codon usage variation among the genes in this organism, which has a strong negative correlation with the expressivities of the genes. The majority of the lowly expressed genes are scattered towards the positive end of the major axis whereas the highly expressed genes are clustered towards the negative end. This is the first report where the prokaryotic organism having highly skewed base composition is dictated mainly by translational selection, though some other factors such as the lengths of the genes as well as the hydrophobicity of genes also influence the codon usage variation among the genes in this organism in a minor way.

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Year:  2001        PMID: 11483361     DOI: 10.1016/s0378-1119(01)00576-5

Source DB:  PubMed          Journal:  Gene        ISSN: 0378-1119            Impact factor:   3.688


  36 in total

1.  Use and misuse of correspondence analysis in codon usage studies.

Authors:  Guy Perrière; Jean Thioulouse
Journal:  Nucleic Acids Res       Date:  2002-10-15       Impact factor: 16.971

2.  Genetic analysis of the PB1-F2 gene of equine influenza virus.

Authors:  Gang Lu; Wei Guo; Ting Qi; Jian Ma; Shihua Zhao; Zhige Tian; Jialiang Pan; Chao Zhu; Xiaojun Wang; Wenhua Xiang
Journal:  Virus Genes       Date:  2013-06-19       Impact factor: 2.332

3.  Comparative investigation of the various determinants that influence the codon and amino acid usage patterns in the genus Bifidobacterium.

Authors:  Ayan Roy; Subhasish Mukhopadhyay; Indrani Sarkar; Arnab Sen
Journal:  World J Microbiol Biotechnol       Date:  2015-04-05       Impact factor: 3.312

4.  Gene expression, nucleotide composition and codon usage bias of genes associated with human Y chromosome.

Authors:  Monisha Nath Choudhury; Arif Uddin; Supriyo Chakraborty
Journal:  Genetica       Date:  2017-04-18       Impact factor: 1.082

5.  Codon Usage Pattern of Genes Involved in Central Nervous System.

Authors:  Arif Uddin; Supriyo Chakraborty
Journal:  Mol Neurobiol       Date:  2018-06-19       Impact factor: 5.590

6.  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

7.  Analysis of synonymous codon usage bias in 09H1N1.

Authors:  Zhen-Peng Li; De-Quan Ying; Peng Li; Fei Li; Xiao-Chen Bo; Sheng-Qi Wang
Journal:  Virol Sin       Date:  2010-10-08       Impact factor: 4.327

8.  A comparative analysis on the synonymous codon usage pattern in viral functional genes and their translational initiation region of ASFV.

Authors:  Jian-Hua Zhou; Zong-Liang Gao; Dong-Jie Sun; Yao-Zhong Ding; Jie Zhang; Laszlo Stipkovits; Susan Szathmary; Zygmunt Pejsak; Yong-Sheng Liu
Journal:  Virus Genes       Date:  2012-11-16       Impact factor: 2.332

9.  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

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

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