Journal of Computational Intelligence in Bioinformatics

  • Year: 2009
  • Volume: 2
  • Issue: 3

Computational Identification of MicroRNA Homologs from Acyrthosiphon pisum (Pea Aphid)

  • Author:
  • Ganesh Sathyamurthy, N. Ramachandra Swamy
  • Total Page Count: 11
  • DOI:
  • Page Number: 109 to 119

Department of Biochemistry, Bangalore University, Bangalore-560 001, India.

*Corresponding author

Running title: Computational Identification of miRNAs in Acyrthosiphon pisum

Abstract

MicroRNAs (miRNAs) are a large class of small non coding miRNAs that regulate gene expression. In this paper we use the comparative miRNA method for computational identification miRNAs from Acyrthosiphon pisum, Pea aphid, belonging to order Hemiptera and superfamily Aphidoidea. We validate the newly identified miRNAs using MiPred for the classification of real and pseudo miRNAs. We thus report 10 newly identified miRNAs, of which 9 are real precursors and mir-1923 being pseudo precursor. 1 of 10 miRNAs has 96.43% identity, 4 between 90 – 94.9% identity, 2 between 85–89.9% identity and 3 of less than 85% identity percent. The statistical sequence characteristics are defined for all 10 miRNAs. We further observe that U being a predominant at end base in mature sequence. We conclude thus, our study to be the beginning of understanding the A. pisum genome and may play an important role in effective pest management in near future.

Keywords

Invertebrates, Insect, Base frequency, real miRNA, pseudo miRNA