Publication | Open Access
CRMAGE: CRISPR Optimized MAGE Recombineering
226
Citations
52
References
2016
Year
EngineeringGeneticsMolecular BiologyEscherichia ColiMetabolic NetworksBioengineeringMetabolic EngineeringGenome EngineeringCrisprMage TechnologyCell ModificationCrispr Optimized MageBiomolecular EngineeringGene TherapiesBiotechnologyGenetic EngineeringSynthetic BiologyGene EditingMedicineGenome EditingMolecular Development
Genome engineering technologies are a bottleneck in metabolic engineering and systems biology. The study combines CRISPR/Cas9 with λ Red recombineering to develop a fast, highly efficient genome engineering method for E. coli. CRMAGE targets any genomic locus via degenerate codons, employs two USER‑cloned plasmids for rapid gRNA replacement, uses CRISPR/Cas9 to cure plasmids enabling multiple daily engineering rounds, and includes a web tool that predicts λ Red oligos and gRNAs.
A bottleneck in metabolic engineering and systems biology approaches is the lack of efficient genome engineering technologies. Here, we combine CRISPR/Cas9 and λ Red recombineering based MAGE technology (CRMAGE) to create a highly efficient and fast method for genome engineering of Escherichia coli. Using CRMAGE, the recombineering efficiency was between 96.5% and 99.7% for gene recoding of three genomic targets, compared to between 0.68% and 5.4% using traditional recombineering. For modulation of protein synthesis (small insertion/RBS substitution) the efficiency was increased from 6% to 70%. CRMAGE can be multiplexed and enables introduction of at least two mutations in a single round of recombineering with similar efficiencies. PAM-independent loci were targeted using degenerate codons, thereby making it possible to modify any site in the genome. PAM-independent loci were targeted using degenerate codons, thereby making it possible to modify any site in the genome. CRMAGE is based on two plasmids that are assembled by a USER-cloning approach enabling quick and cost efficient gRNA replacement. CRMAGE furthermore utilizes CRISPR/Cas9 for efficient plasmid curing, thereby enabling multiple engineering rounds per day. To facilitate the design process, a web-based tool was developed to predict both the λ Red oligos and the gRNAs. The CRMAGE platform enables highly efficient and fast genome editing and may open up promising prospective for automation of genome-scale engineering.
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