Computational Prediction, Target Identification and Experimental Validation of miRNAs from Expressed Sequence Tags in Cannabis sativa L

0450457 - BC 2016 RIV IN eng J - Journal Article
Duraisamy, Ganesh Selvaraj - Mishra, Ajay Kumar - Jakše, J. - Matoušek, Jaroslav
Computational Prediction, Target Identification and Experimental Validation of miRNAs from Expressed Sequence Tags in Cannabis sativa L.
Research & Reviews: Journal of Botanical Sciences. Roč. 4, č. 2 (2015), s. 32-42. ISSN 2320-0189
R&D Projects: GA ČR GA13-03037S
Institutional support: RVO:60077344
Keywords : Cannabis sativa * microRNAs * Cis-regulating elements * Computational approach
Subject RIV: EB - Genetics ; Molecular Biology

MicroRNAs (miRNAs) are approximately 20-22 nucleotide non-coding RNAs, which play an important role in posttranscriptional degradation of target mRNA or inhibition of protein synthesis through binding the specific sites of target mRNA. miRNAs have been extensively studied in various plant species, however, there is no miRNA identified in Cannabis sativa, a crop which has long been used for hemp fibre, for seed and seed oils, for medicinal purposes, and as a recreational drug. In this study, a computational based approach was used to identify and characterize C. sativa miRNAs. A total of 7 miRNAs belonging to 3 miRNA families were identified in cannabis based on homolog search and series of filtering criteria. The identified miRNAs were validated by endpoint PCR and quantitative reverse transcription-polymerase chain reaction (qRT-PCR), confirmed the existence of conserved miRNAs in C. sativa.
Permanent Link: http://hdl.handle.net/11104/0251897