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Title

Mining of miRNAs from EST data in Dendrobium nobile

Authors

Debasish B. Krishnatreya, Pooja Moni Baruah, Bhaskar Dowarah, Kuntala Sarma Bordoloi, Heena Agarwal, Niraj Agarwala

 

Affiliation

Department of Botany, Gauhati University, Guwahati, Assam, India 7810014;

 

Email

 Niraj Agarwala; Email ID: niraj_botany@gauhati.ac.in; Mobile: +918486027249; *Corresponding author

 

Article Type

Research Article

 

Date

Received February 18, 2020; Revised March 10, 2020, Accepted March 14, 2020; Published March 31, 2020

 

Abstract

Dendrobium nobile is an orchid species highly popular for its therapeutic properties and is often used as a medicinal herb. Documenting miRNA-target associations in D. nobile is an important step to facilitate functional genomics studies in this species. Therefore, it is of interest to identify miRNA sequences from EST data available in public databases using known techniques and tools. We report 14 potential miRNAs from three ESTs of D. nobile. They belong to 3 miRNA families (miR390, miR528 and miR414) linking to transcription factor regulation, signal transduction, DNA and protein binding, and various cellular processes covering 34 different metabolic networks in KEGG. These results help in the understanding of miRNA-mRNAs functional networks in Dendrobium nobile.

 

Keywords

Expressed Sequence Tags, miRNA, in silico, Dendrobiumnobile

 

Citation

Krishnatreya et al. Bioinformation 16(3): 245-255 (2020)

 

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.