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CC BY 4.0 · AIMS Genet 2017; 04(02): 138-165
DOI: 10.3934/genet.2017.2.138
Research Article

In-silico based identification and functional analyses of miRNAs and their targets in Cowpea (Vigna unguiculata L.)

Zareen Gul
Department of Botany, University of Balochistan, Sariab Road, Quetta, Pakistan
,
Muhammad Younas Khan Barozai
Department of Botany, University of Balochistan, Sariab Road, Quetta, Pakistan
,
Muhammad Din
Department of Botany, University of Balochistan, Sariab Road, Quetta, Pakistan
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Abstract

Cowpea (Vigna unguiculata L.) is an important leguminous plant and a good diet due to presence of carbohydrate and high protein contents. Currently, only few cowpea microRNAs (miRNAs) are reported. This study is intended to identify and functionally analyze new miRNAs and their targets in cowpea. An in-silico based homology search approach was applied and a total of 46 new miRNAs belonging to 45 families were identified and functionally annotated from the cowpea expressed sequence tags (ESTs). All these potential miRNAs are reported here for the first time in cowpea. The 46 new miRNAs were also observed with stable hairpin structures with minimum free energy, ranging from −10 to −132 kcal mol−1 with an average of −40 kcal mol−1. The length of new cowpea miRNAs are ranged from 18 to 26 nt with an average of 21 nt. The cowpea miRNA-vun-mir4414, is found as pre-miRNA cluster for the first time in cowpea. Furthermore, a set of 138 protein targets were also identified for these newly identified 46 cowpea miRNAs. These targets have significant role in various biological processes, like metabolism, transcription regulation as transcription factor, cell transport, signal transduction, growth & development and structural proteins. These findings are the significant basis to utilize and manage this important leguminous plant-cowpea for better nutritional properties and tolerance for biotic and abiotic stresses.

Keywords

microRNAs - conserved nature - cowpea (Vigna unguiculata L.) - homology search


Publication History

Received: 20 April 2017

Accepted: 15 June 2017

Article published online:
10 May 2021

© 2017. The Author(s). This is an open access article published by Thieme under the terms of the Creative Commons Attribution License, permitting unrestricted use, distribution, and reproduction so long as the original work is properly cited. (https://creativecommons.org/licenses/by/4.0/)

Georg Thieme Verlag KG
Rüdigerstraße 14, 70469 Stuttgart, Germany

 

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