Literature DB >> 21533686

Gene function analysis by artificial microRNAs in Physcomitrella patens.

Basel Khraiwesh1, Isam Fattash, M Asif Arif, Wolfgang Frank.   

Abstract

MicroRNAs (miRNAs) are ~21 nt long small RNAs transcribed from endogenous MIR genes which form precursor RNAs with a characteristic hairpin structure. miRNAs control the expression of cognate target genes by binding to reverse complementary sequences resulting in cleavage or translational inhibition of the target RNA. Artificial miRNAs (amiRNAs) can be generated by exchanging the miRNA/miRNA sequence of endogenous MIR precursor genes, while maintaining the general pattern of matches and mismatches in the foldback. Thus, for functional gene analysis amiRNAs can be designed to target any gene of interest. During the last decade the moss Physcomitrella patens emerged as a model plant for functional gene analysis based on its unique ability to integrate DNA into the nuclear genome by homologous recombination which allows for the generation of targeted gene knockout mutants. In addition to this, we developed a protocol to express amiRNAs in P. patens that has particular advantages over the generation of knockout mutants and might be used to speed up reverse genetics approaches in this model species.

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Year:  2011        PMID: 21533686     DOI: 10.1007/978-1-61779-123-9_5

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  2 in total

1.  Identification and analysis of red sea mangrove (Avicennia marina) microRNAs by high-throughput sequencing and their association with stress responses.

Authors:  Basel Khraiwesh; Ganesan Pugalenthi; Nina V Fedoroff
Journal:  PLoS One       Date:  2013-04-08       Impact factor: 3.240

2.  Genome-wide expression analysis offers new insights into the origin and evolution of Physcomitrella patens stress response.

Authors:  Basel Khraiwesh; Enas Qudeimat; Manjula Thimma; Amphun Chaiboonchoe; Kenan Jijakli; Amnah Alzahmi; Marc Arnoux; Kourosh Salehi-Ashtiani
Journal:  Sci Rep       Date:  2015-11-30       Impact factor: 4.379

  2 in total

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