Bhartiya Krishi Anusandhan Patrika
  • Year: 2018
  • Volume: 33
  • Issue: 1

Computational identification and characterization of micrornas in pigeonpea

  • Author:
  • Anu Sharma, Jyotika Bhati, Shashi Bhushan Lal, Krishna Kumar Chaturvedi, Mohammad Samir Farooqi, Anil Rai
  • Total Page Count: 7
  • Page Number: 51 to 57

Centre for Agricultural Bioinformatics, ICAR-Indian Agriculture Statistics Research Institute, New Delhi

*anu.sharma@icar.gov.in

Online published on 18 February, 2020.

Abstract

Pigeon pea is avitalfood legumecrop grown in India. Pigeon pea is consumed as green pea, whole grain or split pea. Many studies have been under taken by researchers for the analysis of whole genome sequence of pigeon pea. Also, post transcriptional gene regulation has emerged as an important technology for crop sciences. The discoveries of miRNAs in plants and the growing evidence of their involvement in a variety of functional roles have produced a great deal of excitement in plant biology. Approaches developed for identification of miRNAs are in-vitro, in-silico and combination of both these. This study was undertaken to identify the miRNAs in pigeon pea using computational methods. Eleven miRNAs were identified using this method. This study will help in improved understanding of molecular mechanisms of miRNA and development of noveland more precise techniques for better understanding of post-transcriptional gene silencing in pigeon pea.

Keywords

Computational, microRNA, Pigeon Pea