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Title

Analysis of microRNAs and their targets from onion (Allium cepa) using genome survey sequences (GSS) and expressed sequence tags (ESTs)

 

Authors

Rukmini Mishra1, Rupesh Mohapatra2, Bijayalaxmi Mahanty3, Raj Kumar Joshi3*

 

Affiliation

1School of Applied Sciences, Centurion University of Technology and Management, Odisha, India; 2Centre for Biotechnology, Siksha O Anusandhan University, Bhubaneswar-751030, Odisha, India;3Dept. of Biotechnology, Rama Devi Women’s University, Vidya Vihar, Bhubaneswar-751022, Odisha, India

 

Email

Dr. Raj Kumar Joshi - Email: rkjoshi@rdwu.ac.in, *Corresponding author

 

Article Type

Research Article

 

Date

Received December 27, 2019; Revised December 30, 2019; Accepted December 31, 2019; Published December 31, 2019

 

Abstract

MicroRNAs are small non-coding RNAs of 21-24 nucleotides in length that acts as important modulators of gene expression related to numerous biological processes including development and defense response in eukaryotes. However, only a limited report on onion (Allium cepa) miRNAs is available and their associated role in growth and development of onion is not yet clear. Therefore, it is of interest to identify miRNAs and their targets in Allium cepa using the genome survey sequences (GSSs) and expressed sequence tags (ESTs) and deduce the functions of the target genes using gene ontology (GO) terms. We report 14 potential miRNAs belonging to 13 different families (miR162, miR168, miR172c, miR172e, miR398, miR400, miR414, miR1134, miR1223, miR6219, miR7725, miR8570, miR8703 and miR8752). BLAST analysis using psRNATarget server predicted 39 potential targets for the identified miRNAs majority of which were transcription factors implicated in plant growth, development, hormone signaling and stress responses. These data forms the basis for further analysis and verification towards understanding the miRNA mediated regulatory mechanism in Allium cepa.

 

Keywords

Allium cepa, microRNA, ESTs, GSSs, miRNA targets, gene ontology

 

Citation

Mishra et al. Bioinformation 15(12): 907-917 (2019)

 

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.