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Please use this identifier to cite or link to this item: http://krishi.icar.gov.in/jspui/handle/123456789/44534
Title: Statistical Analysis of codon usage in extremely halophilic bacterium, Salinibacter ruber DSM 13855
Other Titles: Not Available
Authors: Sanjukta RK
Farooqi MS
Sharma N
Rai N
Mishra DC
Rai A
Singh DP
Chaturvedi KK
ICAR Data Use Licennce: http://krishi.icar.gov.in/PDF/ICAR_Data_Use_Licence.pdf
Author's Affiliated institute: ICAR::Indian Agricultural Statistics Research Institute
Central Drug Research Institute, Jhankipuram, Lucknow-226 021
ICAR::National Bureau of Agriculturally Important Micro-organisms
Published/ Complete Date: 2013-01-01
Project Code: Not Available
Keywords: synonymous codon usage
mutational bias
multivariate statistical analysis
optimal codons
Publisher: OJB Publications
Citation: Sanjukta, RK, Farooqi, MS, Sharma, N, Rai, N, Mishra, DC, Rai, A, Singh, DP, Chaturvedi, KK (2013). Statistical Analysis of codon usage in extremely halophilic bacterium, Salinibacter ruber DSM 13855. Online Journal of Bioinformatics, 14(1): 15-31.
Series/Report no.: Not Available;
Abstract/Description: Synonymous codons are randomly distributed among genes, a phenomenon termed as codon usage bias. Understanding the extent and pattern of codon bias; the forces affecting codon usage are the key steps towards elucidating the adaptive choice of codon at the level of individual genes. Herein, trends in codon usage bias in a set of 1450 genes in Salinibacter ruber, an extremely halophilic bacterium have been evaluated. Notably, synonymous codon usage varies considerably among genes of this bacterium. Base composition (mutational bias) particularly Cand G-ending codons predominate with greater preference of ‘C’ at synonymously variable sites. The effect of natural selection acting at the level of translation has been observed. Certain genes with a high codon bias have been identified by multivariate statistical approach and investigations through various codon bias indices. These genes appear to be highly expressed, and their codon usage seems to have been shaped by selection favouring a limited number of translationally optimal codons. A subset of 27 optimal codons seems to be preferentially used in highly expressed genes. The frequency of these codons appears to be correlated with the level of gene expression, and may be a useful indicator in the case of genes (or open reading frames) whose expression levels are unknown.
Description: Not Available
Type(s) of content: Research Paper
Sponsors: Not Available
Language: English
Name of Journal: Online Journal of Bioinformatics
NAAS Rating: Not Available
Volume No.: 14
Page Number: 14-31
Name of the Division/Regional Station: Not Available
Source, DOI or any other URL: http://onljbioinform.com/codonusageabs2013.htm
URI: http://onljbioinform.com/codonusageabs2013.htm
http://krishi.icar.gov.in/jspui/handle/123456789/44534
Appears in Collections:AEdu-IASRI-Publication

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