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Title

Codon bias and gene expression of mitochondrial ND2 gene in chordates

 

Authors

Arif Uddin, Tarikul Huda Mazumder, Monisha Nath Choudhury & Supriyo Chakraborty*

 

 

Affiliation

Department of Biotechnology, Assam University, Silchar-788011, Assam, India

 

Email

supriyoch_2008@rediffmail.com*Corresponding author

 

Article Type

Hypothesis

 

Date

Received August 05, 2015; Accepted August 24, 2015; Published August 31, 2015

 

Abstract

Background: Mitochondrial ND gene, which encodes NADH dehydrogenase, is the first enzyme of the mitochondrial electron transport chain. Leigh syndrome, a neurodegenerative disease caused by mutation in the ND2 gene (T4681C), is associated with bilateral symmetric lesions in basal ganglia and subcortical brain regions. Therefore, it is of  interest to analyze mitochondrial DNA to glean information for evolutionary relationship. This study highlights on the analysis of compositional dynamics and selection pressure in shaping the codon usage patterns in the coding sequence of MT-ND2 gene across pisces, aves and mammals by using bioinformatics tools like effective number of codons (ENC), codon adaptation index (CAI), relative synonymous codon usage (RSCU) etc. Results: We observed a low codon usage bias as reflected by high ENC values in MT-ND2 gene among pisces, aves and mammals. The most frequently used  codons were ending with A/C at the 3rd position of codon and the gene was AT rich in all the three classes. The codons TCA, CTA, CGA and TGA were over represented in all three classes. The F1 correspondence showed significant positive correlation with G, T3 and CAI while the F2 axis showed significant negative correlation with A and T but significant positive correlation with G, C, G3, C3, ENC, GC, GC1, GC2 and GC3.  Conclusions: The codon usage bias in MT-ND2 gene is not associated with expression level. Mutation pressure and natural selection affect the codon usage pattern in MT-ND 2 gene.

 

Keywords

Codon usage, MT-ND2 gene, natural selection, mutation pressure

Citation

Uddin et al. Bioinformation 11(8): 407-412 (2015)
 

Edited by

P Kangueane

 

ISSN

0973-2063

 

Publisher

Biomedical Informatics

 

License

This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License.