Computational identification of microRNAs and their targets in Catharanthus roseus expressed sequence tags.
No study has been performed on identifying microRNAs (miRNAs) and their targets in the medicinal plant, Catharanthus roseus. In the present study, using the comparative genomics approach, we have predicted two potential C. roseus miRNAs. Furthermore, twelve potential mRNA targets were identified in C. roseus genome based on the characteristics that miRNAs exhibit perfect or nearly perfect complementarity with their targeted mRNA sequences. Among them many of the targets were predicted to encode enzymes that regulate the biosynthesis of terpenoid indole alkaloids (TIA). In addition, most of the predicted targets were the gene coding for transcription factors which are mainly involved in cell growth and development, signaling and metabolism. This is the first in silico study to indicate that miRNA target gene encoding enzymes involved in vinblastine and vincristine biosynthesis, which may help to understand the miRNA-mediated regulation of TIA alkaloid biosynthesis in C. roseus.
School of Biotechnology, Campus-11, KIIT University, Bhubaneswar, Odisha 751024, India.
Alok
A
Pani
School of Biotechnology, Campus-11, KIIT University, Bhubaneswar, Odisha 751024, India.
Rajani Kanta
RK
Mahapatra
C. roseus; Computational prediction; ESTs; Vincristine; microRNAs