Mining of miRNAs from EST data in Dendrobium nobile

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

doi:10.6026/97320630016245

Mining of miRNAs from EST data in Dendrobium nobile

Bioinformation. 2020 Mar 31;16(3):245-255. doi: 10.6026/97320630016245. eCollection 2020.

Authors

Debasish B Krishnatreya¹, Pooja Moni Baruah¹, Bhaskar Dowarah¹, Kuntala Sarma Bordoloi¹, Heena Agarwal¹, Niraj Agarwala¹

Affiliation

¹ Department of Botany, Gauhati University, Guwahati, Assam, India - 7810014.

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: Dendrobium nobile; Expressed Sequence Tags; in silico; miRNA.