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Systematic optimization of Cas12a base editors in wheat and maize using the ITER platform

BACKGROUND: Testing an ever-increasing number of CRISPR components is challenging when developing new genome engineering tools. Plant biotechnology has few high-throughput options to perform iterative design-build-test-learn cycles of gene-editing reagents. To bridge this gap, we develop ITER (Itera...

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Autores principales: Gaillochet, Christophe, Peña Fernández, Alexandra, Goossens, Vera, D’Halluin, Katelijn, Drozdzecki, Andrzej, Shafie, Myriam, Van Duyse, Julie, Van Isterdael, Gert, Gonzalez, Camila, Vermeersch, Mattias, De Saeger, Jonas, Develtere, Ward, Audenaert, Dominique, De Vleesschauwer, David, Meulewaeter, Frank, Jacobs, Thomas B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9838060/
https://www.ncbi.nlm.nih.gov/pubmed/36639800
http://dx.doi.org/10.1186/s13059-022-02836-2
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author Gaillochet, Christophe
Peña Fernández, Alexandra
Goossens, Vera
D’Halluin, Katelijn
Drozdzecki, Andrzej
Shafie, Myriam
Van Duyse, Julie
Van Isterdael, Gert
Gonzalez, Camila
Vermeersch, Mattias
De Saeger, Jonas
Develtere, Ward
Audenaert, Dominique
De Vleesschauwer, David
Meulewaeter, Frank
Jacobs, Thomas B.
author_facet Gaillochet, Christophe
Peña Fernández, Alexandra
Goossens, Vera
D’Halluin, Katelijn
Drozdzecki, Andrzej
Shafie, Myriam
Van Duyse, Julie
Van Isterdael, Gert
Gonzalez, Camila
Vermeersch, Mattias
De Saeger, Jonas
Develtere, Ward
Audenaert, Dominique
De Vleesschauwer, David
Meulewaeter, Frank
Jacobs, Thomas B.
author_sort Gaillochet, Christophe
collection PubMed
description BACKGROUND: Testing an ever-increasing number of CRISPR components is challenging when developing new genome engineering tools. Plant biotechnology has few high-throughput options to perform iterative design-build-test-learn cycles of gene-editing reagents. To bridge this gap, we develop ITER (Iterative Testing of Editing Reagents) based on 96-well arrayed protoplast transfections and high-content imaging. RESULTS: We validate ITER in wheat and maize protoplasts using Cas9 cytosine and adenine base editors (ABEs), allowing one optimization cycle — from design to results — within 3 weeks. Given that previous LbCas12a-ABEs have low or no activity in plants, we use ITER to develop an optimized LbCas12a-ABE. We show that sequential improvement of five components — NLS, crRNA, LbCas12a, adenine deaminase, and linker — leads to a remarkable increase in activity from almost undetectable levels to 40% on an extrachromosomal GFP reporter. We confirm the activity of LbCas12a-ABE at endogenous targets in protoplasts and obtain base-edited plants in up to 55% of stable wheat transformants and the edits are transmitted to T1 progeny. We leverage these improvements to develop a highly mutagenic LbCas12a nuclease and a LbCas12a-CBE demonstrating that the optimizations can be broadly applied to the Cas12a toolbox. CONCLUSION: Our data show that ITER is a sensitive, versatile, and high-throughput platform that can be harnessed to accelerate the development of genome editing technologies in plants. We use ITER to create an efficient Cas12a-ABE by iteratively testing a large panel of vector components. ITER will likely be useful to create and optimize genome editing reagents in a wide range of plant species. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13059-022-02836-2.
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spelling pubmed-98380602023-01-14 Systematic optimization of Cas12a base editors in wheat and maize using the ITER platform Gaillochet, Christophe Peña Fernández, Alexandra Goossens, Vera D’Halluin, Katelijn Drozdzecki, Andrzej Shafie, Myriam Van Duyse, Julie Van Isterdael, Gert Gonzalez, Camila Vermeersch, Mattias De Saeger, Jonas Develtere, Ward Audenaert, Dominique De Vleesschauwer, David Meulewaeter, Frank Jacobs, Thomas B. Genome Biol Research BACKGROUND: Testing an ever-increasing number of CRISPR components is challenging when developing new genome engineering tools. Plant biotechnology has few high-throughput options to perform iterative design-build-test-learn cycles of gene-editing reagents. To bridge this gap, we develop ITER (Iterative Testing of Editing Reagents) based on 96-well arrayed protoplast transfections and high-content imaging. RESULTS: We validate ITER in wheat and maize protoplasts using Cas9 cytosine and adenine base editors (ABEs), allowing one optimization cycle — from design to results — within 3 weeks. Given that previous LbCas12a-ABEs have low or no activity in plants, we use ITER to develop an optimized LbCas12a-ABE. We show that sequential improvement of five components — NLS, crRNA, LbCas12a, adenine deaminase, and linker — leads to a remarkable increase in activity from almost undetectable levels to 40% on an extrachromosomal GFP reporter. We confirm the activity of LbCas12a-ABE at endogenous targets in protoplasts and obtain base-edited plants in up to 55% of stable wheat transformants and the edits are transmitted to T1 progeny. We leverage these improvements to develop a highly mutagenic LbCas12a nuclease and a LbCas12a-CBE demonstrating that the optimizations can be broadly applied to the Cas12a toolbox. CONCLUSION: Our data show that ITER is a sensitive, versatile, and high-throughput platform that can be harnessed to accelerate the development of genome editing technologies in plants. We use ITER to create an efficient Cas12a-ABE by iteratively testing a large panel of vector components. ITER will likely be useful to create and optimize genome editing reagents in a wide range of plant species. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13059-022-02836-2. BioMed Central 2023-01-13 /pmc/articles/PMC9838060/ /pubmed/36639800 http://dx.doi.org/10.1186/s13059-022-02836-2 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Gaillochet, Christophe
Peña Fernández, Alexandra
Goossens, Vera
D’Halluin, Katelijn
Drozdzecki, Andrzej
Shafie, Myriam
Van Duyse, Julie
Van Isterdael, Gert
Gonzalez, Camila
Vermeersch, Mattias
De Saeger, Jonas
Develtere, Ward
Audenaert, Dominique
De Vleesschauwer, David
Meulewaeter, Frank
Jacobs, Thomas B.
Systematic optimization of Cas12a base editors in wheat and maize using the ITER platform
title Systematic optimization of Cas12a base editors in wheat and maize using the ITER platform
title_full Systematic optimization of Cas12a base editors in wheat and maize using the ITER platform
title_fullStr Systematic optimization of Cas12a base editors in wheat and maize using the ITER platform
title_full_unstemmed Systematic optimization of Cas12a base editors in wheat and maize using the ITER platform
title_short Systematic optimization of Cas12a base editors in wheat and maize using the ITER platform
title_sort systematic optimization of cas12a base editors in wheat and maize using the iter platform
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9838060/
https://www.ncbi.nlm.nih.gov/pubmed/36639800
http://dx.doi.org/10.1186/s13059-022-02836-2
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