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MicroRNA (miRNA) are short, regulatory RNA transcribed from introns—non-coding regions of a gene—or intergenic regions—stretches of DNA present between genes. Several processing steps are required to form biologically active, mature miRNA. The initial transcript, called primary miRNA (pri-mRNA), base-pairs with itself forming a stem-loop structure. Within the nucleus, an endonuclease enzyme, called Drosha, shortens the stem-loop structure into hairpin-shaped pre-miRNA. After the pre-miRNA ends...

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A Bioinformatics Pipeline to Accurately and Efficiently Analyze the MicroRNA Transcriptomes in Plants

A Bioinformatics Pipeline to Accurately and Efficiently Analyze the MicroRNA Transcriptomes in Plants

Published on: January 21, 2020

Gene function analysis by artificial microRNAs in Physcomitrella patens.

Basel Khraiwesh¹, Isam Fattash, M Asif Arif

¹Center for Plant Stress Genomics and Technology, 4700 King Abdullah University of Science and Technology, Thuwal 23955-6900, Kingdom of Saudi Arabia. basel.khraiwesh@kaust.edu.sa

Methods in Molecular Biology (Clifton, N.J.)

|May 3, 2011

Summary

This summary is machine-generated.

Artificial miRNAs (amiRNAs) enable targeted gene silencing in the model plant Physcomitrella patens. This method offers advantages over gene knockout mutants, potentially accelerating reverse genetics research.

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Area of Science:

Molecular Biology
Plant Science
Genetics

Background:

MicroRNAs (miRNAs) are small RNA molecules regulating gene expression post-transcriptionally.
Artificial miRNAs (amiRNAs) can be engineered to target specific genes for functional analysis.
Physcomitrella patens is a model organism for plant functional genomics due to its efficient homologous recombination for gene targeting.

Purpose of the Study:

To develop and present a protocol for expressing artificial miRNAs (amiRNAs) in Physcomitrella patens.
To establish amiRNA expression as a viable alternative to knockout mutants for reverse genetics in P. patens.

Main Methods:

Engineering amiRNA sequences by modifying endogenous MIR precursor genes.
Maintaining the characteristic hairpin structure of precursor RNAs for amiRNA processing.
Expressing amiRNAs in Physcomitrella patens to achieve targeted gene silencing.

Main Results:

Demonstration of a functional protocol for amiRNA expression in P. patens.
Identification of advantages of the amiRNA approach over traditional knockout mutant generation.
Potential for accelerated reverse genetics studies in P. patens.

Conclusions:

The developed amiRNA expression protocol provides an effective tool for functional gene analysis in Physcomitrella patens.
This method complements and potentially surpasses knockout mutant generation for reverse genetics, offering speed and efficiency.