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Identification of TTA codon containing genes in Frankia and exploration of the role of tRNA in regulating these genes
Authors:Arnab?Sen  author-information"  >  author-information__contact u-icon-before"  >  mailto:senarnab_nbu@hotmail.com"   title="  senarnab_nbu@hotmail.com"   itemprop="  email"   data-track="  click"   data-track-action="  Email author"   data-track-label="  "  >Email author,Subarna?Thakur,Asim?K.?Bothra,Saubashya?Sur,Louis?S.?Tisa
Affiliation:(1) NBU Bioinformatics Facility, Department of Botany, University of North Bengal, Siliguri, 734013, India;(2) Bioinformatics Chemoinformatics Laboratory, Department of Chemistry, Raiganj College, Raiganj, India;(3) Department of Cellular, Molecular and Biomedical Sciences, University of New Hampshire, Durham, NH 03824, USA
Abstract:The TTA codon, one of the six available codons for the amino acid leucine, is the rarest codon among the high GC genomes of Actinobacteria including Frankia. This codon has been implicated in various regulatory mechanisms involving secondary metabolism and morphological development. TTA-mediated gene regulation is well documented in Streptomyces coelicolor, but that role has not been investigated in other Actinobacteria including Frankia. Among the various Actinomycetes with a GC content of more than 70%, Frankia genomes had the highest percentages of TTA-containing genes ranging from 5.2 to 10.68% of the genome. In contrast, TTA-bearing genes comprised 1.7, 3.4 and 4.1% of the Streptomyces coelicolor, S. avermitilis and Nocardia farcinia genomes, respectively. We analyzed their functional role, evolutionary significance, horizontal acquisition and the codon-anticodon interaction. The TTA-bearing genes were found to be well represented in metabolic genes involved in amino acid transport and secondary metabolism. A reciprocal Blast search reveal that many of the TTA-bearing genes have orthologs in the other Frankia genomes, and some of these orthologous genes also have a TTA codon in them. The gene expression level of TTA-containing genes was estimated by the use of the codon adaption index (CAI), and the CAI values were found to have a positive correlation with the GC3 (GC content at the 3rd codon position). A full-atomic 3D model of the leucine tRNA recognizing the TTA (UUA) codon was generated and utilized for in silico docking to determine binding affinity in codon-anticodon interaction. We found a proficient codon-anticodon interaction for this codon which is perhaps why so many genes hold on to this rare codon without compromising their translational efficiency.
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