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Efficient gene editing in Neurospora crassa with CRISPR technology

Overview of attention for article published in Fungal Biology and Biotechnology, July 2015
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#38 of 144)
  • Good Attention Score compared to outputs of the same age (76th percentile)

Mentioned by

patent
3 patents

Citations

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181 Dimensions

Readers on

mendeley
279 Mendeley
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Title
Efficient gene editing in Neurospora crassa with CRISPR technology
Published in
Fungal Biology and Biotechnology, July 2015
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.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 279 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 <1%
Chile 1 <1%
Italy 1 <1%
Brazil 1 <1%
Mexico 1 <1%
Denmark 1 <1%
United States 1 <1%
Unknown 272 97%

Demographic breakdown

Readers by professional status Count As %
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%
Readers by discipline Count As %
Agricultural and Biological Sciences 104 37%
Biochemistry, Genetics and Molecular Biology 80 29%
Immunology and Microbiology 8 3%
Chemistry 7 3%
Engineering 7 3%
Other 17 6%
Unknown 56 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 22 May 2019.
All research outputs
#4,760,027
of 23,036,991 outputs
Outputs from Fungal Biology and Biotechnology
#38
of 144 outputs
Outputs of similar age
#59,776
of 263,095 outputs
Outputs of similar age from Fungal Biology and Biotechnology
#1
of 2 outputs
Altmetric has tracked 23,036,991 research outputs across all sources so far. Compared to these this one has done well and is in the 76th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 144 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.9. This one has gotten more attention than average, scoring higher than 72% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 263,095 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 76% of its contemporaries.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them