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In Silico Identification of miRNA and Targets from Chrysopogon zizanioides (L.) Roberty with Functional Validation from Leaf and Root Tissues.

Authors :
Mishra A
Gupta S
Gupta P
Dhawan SS
Lal RK
Source :
Applied biochemistry and biotechnology [Appl Biochem Biotechnol] 2020 Nov; Vol. 192 (3), pp. 1076-1092. Date of Electronic Publication: 2020 Jul 13.
Publication Year :
2020

Abstract

microRNAs are small non-coding RNA molecule that plays an important role in metabolism. Chrysopogon zizanioides (L.) Roberty is an important aromatic plant used in perfumery industries, soil, water conservation, and agricultural practices. In this study, the transcriptomic sequence of vetiver leaf and root was subjected to miRNA identification by the computational methods. miRNA identification was carried out using a homology-based method by C-mii software with several other online tools. A total of 80 miRNA were identified from both leaf and root sequences. Target identification was done by identified miRNA sets. A total of 25 and 31 miRNA families were identified in both leaf and root, respectively, with ten common families involve in different ontological function. miR169 and miR5021 regulate most of the target in leaf and root. In vetiver, many primary and secondary metabolism elements are regulated by miRNA as photo-system, transcription factor, terpenoid metabolism, etc. Here is the first in silico study revealing the specific miRNAs and their target genes for corresponding root and leaf tissues respectively in C. zizanioides.

Details

Language :
English
ISSN :
1559-0291
Volume :
192
Issue :
3
Database :
MEDLINE
Journal :
Applied biochemistry and biotechnology
Publication Type :
Academic Journal
Accession number :
32656724
Full Text :
https://doi.org/10.1007/s12010-020-03381-z