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    Gene function analysis by artificial microRNAs in Physcomitrella patens.

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    Type
    Article
    Authors
    Khraiwesh, Basel
    Fattash, Isam
    Arif, Muhammad Asif
    Frank, Wolfgang
    KAUST Department
    Desert Agriculture Initiative
    Biological and Environmental Sciences and Engineering (BESE) Division
    Date
    2011-04-15
    Online Publication Date
    2011-04-15
    Print Publication Date
    2011
    Permanent link to this record
    http://hdl.handle.net/10754/561658
    
    Metadata
    Show full item record
    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.
    Citation
    Khraiwesh, B., Fattash, I., Arif, M. A., & Frank, W. (2011). Gene Function Analysis by Artificial MicroRNAs in Physcomitrella patens. RNAi and Plant Gene Function Analysis, 57–79. doi:10.1007/978-1-61779-123-9_5
    Publisher
    Springer Science and Business Media LLC
    Journal
    RNAi and Plant Gene Function Analysis
    DOI
    10.1007/978-1-61779-123-9_5
    PubMed ID
    21533686
    ae974a485f413a2113503eed53cd6c53
    10.1007/978-1-61779-123-9_5
    Scopus Count
    Collections
    Articles; Biological and Environmental Sciences and Engineering (BESE) Division; Desert Agriculture Initiative

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