Literature DB >> 27659324

Comparative analysis of codon usage bias in Crenarchaea and Euryarchaea genome reveals differential preference of synonymous codons to encode highly expressed ribosomal and RNA polymerase proteins.

Vishwa Jyoti Baruah1, Siddhartha Sankar Satapathy, Bhesh Raj Powdel, Rocktotpal Konwarh, Alak Kumar Buragohain, Suvendra Kumar Ray.   

Abstract

The present study was undertaken to investigate the pattern of optimal codon usage in Archaea. Comparative analysis was executed to understand the pattern of codon usage bias between the high expression genes (HEG) and the whole genomes in two Archaeal phyla, Crenarchaea and Euryarchaea. The G+C% of the HEG was found to be less in comparison to the genome G+C% in Crenarchaea, whereas reverse was the case in Euryarchaea. The preponderance of U/A ending codons that code for HEG in Crenarchaea was in sharp contrast to the C/G ended ones in Euryarchaea. The analysis revealed prevalence of Uending codons even within theWWY(nucleotide ambiguity code) families in Crenarchaea vis-à-vis Euryarchaea, bacteria and Eukarya. No plausible interpretation of the observed disparity could be made either in the context of tRNA gene composition or genome G+C%. The results in this study attested that the preferential biasness for codons in HEG of Crenarchaea might be different from Euryarchaea. The main highlights are (i) varied CUB in the HEG and in the whole genomes in Euryarchaea and Crenarchaea. (ii) Crenarchaea was found to have some unusual optimal codons (OCs) compared to other organisms. (iii) G+C% (and GC3) of the HEG were different from the genome G+C% in the two phyla. (iv) Genome G+C% and tRNA gene number failed to explain CUB in Crenarchaea. (v) Translational selection is possibly responsible for A+T rich OCs in Crenarchaea.

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Year:  2016        PMID: 27659324     DOI: 10.1007/s12041-016-0667-5

Source DB:  PubMed          Journal:  J Genet        ISSN: 0022-1333            Impact factor:   1.166


  42 in total

1.  Codon usage tabulated from international DNA sequence databases: status for the year 2000.

Authors:  Y Nakamura; T Gojobori; T Ikemura
Journal:  Nucleic Acids Res       Date:  2000-01-01       Impact factor: 16.971

2.  Biological impact of missing-value imputation on downstream analyses of gene expression profiles.

Authors:  Sunghee Oh; Dongwan D Kang; Guy N Brock; George C Tseng
Journal:  Bioinformatics       Date:  2010-11-02       Impact factor: 6.937

Review 3.  Selection on codon bias.

Authors:  Ruth Hershberg; Dmitri A Petrov
Journal:  Annu Rev Genet       Date:  2008       Impact factor: 16.830

4.  Variable correlation of genome GC% with transfer RNA number as well as with transfer RNA diversity among bacterial groups: alpha-proteobacteria and tenericutes exhibit strong positive correlation.

Authors:  Siddhartha Sankar Satapathy; Malay Dutta; Suvendra Kumar Ray
Journal:  Microbiol Res       Date:  2009-08-26       Impact factor: 5.415

5.  The codon Adaptation Index--a measure of directional synonymous codon usage bias, and its potential applications.

Authors:  P M Sharp; W H Li
Journal:  Nucleic Acids Res       Date:  1987-02-11       Impact factor: 16.971

6.  Synonymous codon usage in Drosophila melanogaster: natural selection and translational accuracy.

Authors:  H Akashi
Journal:  Genetics       Date:  1994-03       Impact factor: 4.562

7.  The UCSC Archaeal Genome Browser: 2012 update.

Authors:  Patricia P Chan; Andrew D Holmes; Andrew M Smith; Danny Tran; Todd M Lowe
Journal:  Nucleic Acids Res       Date:  2011-11-12       Impact factor: 16.971

8.  Visual gene developer: a fully programmable bioinformatics software for synthetic gene optimization.

Authors:  Sang-Kyu Jung; Karen McDonald
Journal:  BMC Bioinformatics       Date:  2011-08-16       Impact factor: 3.307

9.  The UCSC Archaeal Genome Browser.

Authors:  Kevin L Schneider; Katherine S Pollard; Robert Baertsch; Andy Pohl; Todd M Lowe
Journal:  Nucleic Acids Res       Date:  2006-01-01       Impact factor: 16.971

10.  Impact of missing data imputation methods on gene expression clustering and classification.

Authors:  Marcilio C P de Souto; Pablo A Jaskowiak; Ivan G Costa
Journal:  BMC Bioinformatics       Date:  2015-02-26       Impact factor: 3.169

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  1 in total

1.  Discrepancy among the synonymous codons with respect to their selection as optimal codon in bacteria.

Authors:  Siddhartha Sankar Satapathy; Bhesh Raj Powdel; Alak Kumar Buragohain; Suvendra Kumar Ray
Journal:  DNA Res       Date:  2016-10-01       Impact factor: 4.458

  1 in total

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