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



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



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



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


Article Type

Research Article



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



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.



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



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


Edited by

P Kangueane






Biomedical Informatics



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.