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Highly Efficient CRISPR-Associated Protein 9 Ribonucleoprotein-Based Genome Editing in Euglena gracilis
Euglena gracilis, a unicellular phytoflagellate microalga, is a promising biomaterial for foods, feeds, and biofuels. However, targeted mutagenesis in this species has been a long-standing challenge. We recently developed a transgene-free, highly efficient, genome editing method for E. gracilis usin...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7580193/ https://www.ncbi.nlm.nih.gov/pubmed/33111076 http://dx.doi.org/10.1016/j.xpro.2020.100023 |
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author | Nomura, Toshihisa Yoshikawa, Mizuki Suzuki, Kengo Mochida, Keiichi |
author_facet | Nomura, Toshihisa Yoshikawa, Mizuki Suzuki, Kengo Mochida, Keiichi |
author_sort | Nomura, Toshihisa |
collection | PubMed |
description | Euglena gracilis, a unicellular phytoflagellate microalga, is a promising biomaterial for foods, feeds, and biofuels. However, targeted mutagenesis in this species has been a long-standing challenge. We recently developed a transgene-free, highly efficient, genome editing method for E. gracilis using CRISPR/Cas9 ribonucleoproteins (RNPs). Our method achieved mutagenesis rates of approximately 80% or more through an electroporation-based direct delivery of Cas9 RNPs. Therefore, this method is suitable for basic research and industrial applications, such as the breeding of Euglena. For complete details on the use and execution of this protocol, please refer to Nomura et al. (2019). |
format | Online Article Text |
id | pubmed-7580193 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-75801932020-10-26 Highly Efficient CRISPR-Associated Protein 9 Ribonucleoprotein-Based Genome Editing in Euglena gracilis Nomura, Toshihisa Yoshikawa, Mizuki Suzuki, Kengo Mochida, Keiichi STAR Protoc Protocol Euglena gracilis, a unicellular phytoflagellate microalga, is a promising biomaterial for foods, feeds, and biofuels. However, targeted mutagenesis in this species has been a long-standing challenge. We recently developed a transgene-free, highly efficient, genome editing method for E. gracilis using CRISPR/Cas9 ribonucleoproteins (RNPs). Our method achieved mutagenesis rates of approximately 80% or more through an electroporation-based direct delivery of Cas9 RNPs. Therefore, this method is suitable for basic research and industrial applications, such as the breeding of Euglena. For complete details on the use and execution of this protocol, please refer to Nomura et al. (2019). Elsevier 2020-06-03 /pmc/articles/PMC7580193/ /pubmed/33111076 http://dx.doi.org/10.1016/j.xpro.2020.100023 Text en © 2020 The Author(s) http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Protocol Nomura, Toshihisa Yoshikawa, Mizuki Suzuki, Kengo Mochida, Keiichi Highly Efficient CRISPR-Associated Protein 9 Ribonucleoprotein-Based Genome Editing in Euglena gracilis |
title | Highly Efficient CRISPR-Associated Protein 9 Ribonucleoprotein-Based Genome Editing in Euglena gracilis |
title_full | Highly Efficient CRISPR-Associated Protein 9 Ribonucleoprotein-Based Genome Editing in Euglena gracilis |
title_fullStr | Highly Efficient CRISPR-Associated Protein 9 Ribonucleoprotein-Based Genome Editing in Euglena gracilis |
title_full_unstemmed | Highly Efficient CRISPR-Associated Protein 9 Ribonucleoprotein-Based Genome Editing in Euglena gracilis |
title_short | Highly Efficient CRISPR-Associated Protein 9 Ribonucleoprotein-Based Genome Editing in Euglena gracilis |
title_sort | highly efficient crispr-associated protein 9 ribonucleoprotein-based genome editing in euglena gracilis |
topic | Protocol |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7580193/ https://www.ncbi.nlm.nih.gov/pubmed/33111076 http://dx.doi.org/10.1016/j.xpro.2020.100023 |
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