In silico identification and characterization of a diverse subset of conserved microRNAs in bioenergy crop Arundo donax L

Autor: Giorgio Bertorelle, Claudio Varotto, Gaurav Sablok, Mingai Li, Wuhe Jike
Přispěvatelé: External Funding, Embryophylo, Biosciences
Jazyk: angličtina
Rok vydání: 2018
Předmět:
0106 biological sciences
0301 basic medicine
Settore BIO/01 - BOTANICA GENERALE
lcsh:Medicine
pri-miRNA
TRANSCRIPTOME-WIDE IDENTIFICATION
01 natural sciences
Economica
Transcription (biology)
Gene Expression Regulation
Plant

Gene expression
lcsh:Science
1183 Plant biology
microbiology
virology

Phylogeny
COMPUTATIONAL PREDICTION
2. Zero hunger
Regulation of gene expression
Multidisciplinary
MicroRNA
ARABIDOPSIS
pre-miRNA
MIRNAS
RNA editing
RNA
Plant

EXPRESSION
Gene Expression Regulation
Plant
Lipid Metabolism
MicroRNAs
Phylogeny
Poaceae
RNA
Plant

GO functional classes
In silico
PLANT MICRORNA
Computational biology
Biology
Poaceae
Article
03 medical and health sciences
IMPROVED BIOMASS
microRNA
TARGET GENES
Gene
MIR169
Giant reed
lcsh:R
RNA
Ambientale
Plant
Lipid Metabolism
MicroRNAs
030104 developmental biology
Gene Expression Regulation
lcsh:Q
Transcriptome
miRNA targets
Expression network
010606 plant biology & botany
Zdroj: Scientific Reports
Scientific Reports, Vol 8, Iss 1, Pp 1-13 (2018)
Popis: MicroRNAs (miRNAs) are small non-coding RNA molecules involved in the post-transcriptional regulation of gene expression in plants. Arundo donax L. is a perennial C3 grass considered one of the most promising bioenergy crops. Despite its relevance, many fundamental aspects of its biology still remain to be elucidated. In the present study we carried out the first in silico mining and tissue-specific characterization of microRNAs and their putative targets in A. donax. We identified a total of 141 miRNAs belonging to 14 families along with the corresponding primary miRNAs, precursor miRNAs and a total of 462 high-confidence predicted targets and novel target sites were validated by 5′-race. Gene Ontology functional annotation showed that miRNA targets are constituted mainly by transcription factors, but three of the newly validated targets are enzymes involved in novel functions like RNA editing, acyl lipid metabolism and post-Golgi trafficking. Folding variability of pre-miRNA loops and phylogenetic analyses indicate variable selective pressure acting on the different miRNA families. The set of miRNAs identified in this study will pave the road to further miRNA research in Arundo donax and contribute towards a better understanding of miRNA-mediated gene regulatory processes in other bioenergy crops.
Databáze: OpenAIRE