ANALYSIS OF RICE GENOME LONG NON-CODING RNA SEQUENCES

N. SARANYA¹*, A. KANDAVELMANI², L.T. SARAVANAN³, S. SHANMUGAPRIYA⁴, M. JAYAKANTHAN⁵, N. BHARATHI⁶, J. RAMALINGAM^7
1Department of Plant Molecular Biology and Bioinformatics, Centre for Plant Molecular Biology and Biotechnology, Tamil Nadu Agricultural University, Coimbatore, 641003, Tamil Nadu
²Department of Plant Molecular Biology and Bioinformatics, Centre for Plant Molecular Biology and Biotechnology, Tamil Nadu Agricultural University, Coimbatore, 641003, Tamil Nadu
³Department of Plant Molecular Biology and Bioinformatics, Centre for Plant Molecular Biology and Biotechnology, Tamil Nadu Agricultural University, Coimbatore, 641003, Tamil Nadu
⁴Department of Plant Molecular Biology and Bioinformatics, Centre for Plant Molecular Biology and Biotechnology, Tamil Nadu Agricultural University, Coimbatore, 641003, Tamil Nadu
⁵Department of Plant Molecular Biology and Bioinformatics, Centre for Plant Molecular Biology and Biotechnology, Tamil Nadu Agricultural University, Coimbatore, 641003, Tamil Nadu
⁶Department of Plant Molecular Biology and Bioinformatics, Centre for Plant Molecular Biology and Biotechnology, Tamil Nadu Agricultural University, Coimbatore, 641003, Tamil Nadu
⁷Department of Plant Molecular Biology and Bioinformatics, Centre for Plant Molecular Biology and Biotechnology, Tamil Nadu Agricultural University, Coimbatore, 641003, Tamil Nadu
* Corresponding Author : saranya.n@tnau.ac.in

Received : 13-02-2018     Accepted : 23-02-2018     Published : 28-02-2018
Volume : 10     Issue : 4       Pages : 5192 - 5195
Int J Agr Sci 10.4 (2018):5192-5195
DOI : http://dx.doi.org/10.9735/0975-3710.10.4.5192-5195

Keywords : Rice long non-coding RNA, Computational analysis, Motifs, Repeats
Conflict of Interest : None declared
Acknowledgements/Funding : Author are thankful to Tamil Nadu Agricultural University, Coimbatore, 641003, Tamil Nadu, Coimbatore and DBT-BTIS facility provided by DBT, Govt. of India
Author Contribution : NS designed and executed the work. LTS and SS involved in data collection. NS, NB, AK and MJ analyzed the results. NS, AK and JR prepared and revised the manuscript

LncRNA reserves meaningful biological information that has to be explored in order to understand the various regulatory mechanisms during stress conditions. Annotating the rice genomic lncRNA sequences based on the presence of motifs and repeats have been carried out in the present study. RNA C to U editing site, Polyadenylation sites, Rice splicing sites and untranslational region motifs are predominantly found in rice lncRNA sequences which shows their role in transcriptional and translational control of gene expression. Moreover, repeat analysis highlighted the presence of transposable elements in the lncRNAs. Studies involving lncRNA modifications with relevance to various biotic and abiotic stress conditions may provide various clues to reprogram transcriptional and translational events towards crop improvement and defence strategies.

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