Title |
Efficient gene editing in Neurospora crassa with CRISPR technology
|
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Published in |
Fungal Biology and Biotechnology, July 2015
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DOI | 10.1186/s40694-015-0015-1 |
Pubmed ID | |
Authors |
Toru Matsu-ura, Mokryun Baek, Jungin Kwon, Christian Hong |
Abstract |
Efficient gene editing is a critical tool for investigating molecular mechanisms of cellular processes and engineering organisms for numerous purposes ranging from biotechnology to medicine. Recently developed RNA-guided CRISPR/Cas9 technology has been used for efficient gene editing in various organisms, but has not been tested in a model filamentous fungus, Neurospora crassa. In this report, we demonstrate efficient gene replacement in a model filamentous fungus, Neurospora crassa, with the CRISPR/Cas9 system. We utilize Cas9 endonuclease and single crRNA:tracrRNA chimeric guide RNA (gRNA) to: (1) replace the endogenous promoter of clr-2 with the β-tubulin promoter, and (2) introduce a codon optimized fire fly luciferase under the control of the gsy-1 promoter at the csr-1 locus. CLR-2 is one of the core transcription factors that regulate the expression of cellulases, and GSY-1 regulates the conversion of glucose into glycogen. We show that the β-tubulin promoter driven clr-2 strain shows increased expression of cellulases, and gsy-1-luciferase reporter strain can be easily screened with a bioluminescence assay. CRISPR/Cas9 system works efficiently in Neurospora crassa, which may be adapted to Neurospora natural isolates and other filamentous fungi. It will be beneficial for the filamentous fungal research community to take advantage of CRISPR/Cas9 tool kits that enable genetic perturbations including gene replacement and insertions. |
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Demographic breakdown
Readers by professional status | Count | As % |
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Student > Ph. D. Student | 70 | 25% |
Student > Master | 41 | 15% |
Researcher | 38 | 14% |
Student > Bachelor | 38 | 14% |
Student > Doctoral Student | 20 | 7% |
Other | 29 | 10% |
Unknown | 43 | 15% |
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Biochemistry, Genetics and Molecular Biology | 80 | 29% |
Immunology and Microbiology | 8 | 3% |
Chemistry | 7 | 3% |
Engineering | 7 | 3% |
Other | 17 | 6% |
Unknown | 56 | 20% |