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Highly efficient heritable targeted deletions of gene clusters and non-coding regulatory regions in Arabidopsis using CRISPR/Cas9

Genome editing using CRISPR/Cas9 is considered the best instrument for genome engineering in plants. This methodology is based on the nuclease activity of Cas9 that is guided to specific genome sequences by single guide RNAs (sgRNAs) thus enabling researchers to engineer simple mutations or large ch...

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Detalles Bibliográficos
Autores principales: Durr, Julius, Papareddy, Ranjith, Nakajima, Keiji, Gutierrez-Marcos, Jose
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5849686/
https://www.ncbi.nlm.nih.gov/pubmed/29535386
http://dx.doi.org/10.1038/s41598-018-22667-1
Descripción
Sumario:Genome editing using CRISPR/Cas9 is considered the best instrument for genome engineering in plants. This methodology is based on the nuclease activity of Cas9 that is guided to specific genome sequences by single guide RNAs (sgRNAs) thus enabling researchers to engineer simple mutations or large chromosomal deletions. Current methodologies for targeted genome editing in plants using CRISPR/Cas9 are however largely inefficient, mostly due to low Cas9 activity, variable sgRNA efficiency and low heritability of genetic lesions. Here, we describe a newly developed strategy to enhance CRISPR/Cas9 efficiency in Arabidopsis thaliana focusing on the design of novel binary vectors (pUbiCAS9-Red and pEciCAS9-Red), the selection of highly efficient sgRNAs, and the use of direct plant regeneration from induced cell cultures. Our work demonstrates that by combining these three independent developments, heritable targeted chromosomal deletions of large gene clusters and intergenic regulatory sequences can be engineered at a high efficiency. Our results demonstrate that this improved CRISPR/Cas9 methodology can provide a fast, efficient and cost-effective tool to engineer targeted heritable chromosomal deletions, which will be instrumental for future high-throughput functional genomics studies in plants.