Cargando…
CRMAGE: CRISPR Optimized MAGE Recombineering
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....
Autores principales: | , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4726160/ https://www.ncbi.nlm.nih.gov/pubmed/26797514 http://dx.doi.org/10.1038/srep19452 |
_version_ | 1782411760940089344 |
---|---|
author | Ronda, Carlotta Pedersen, Lasse Ebdrup Sommer, Morten O. A. Nielsen, Alex Toftgaard |
author_facet | Ronda, Carlotta Pedersen, Lasse Ebdrup Sommer, Morten O. A. Nielsen, Alex Toftgaard |
author_sort | Ronda, Carlotta |
collection | PubMed |
description | 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. 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. |
format | Online Article Text |
id | pubmed-4726160 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-47261602016-01-27 CRMAGE: CRISPR Optimized MAGE Recombineering Ronda, Carlotta Pedersen, Lasse Ebdrup Sommer, Morten O. A. Nielsen, Alex Toftgaard Sci Rep Article 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. 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. Nature Publishing Group 2016-01-22 /pmc/articles/PMC4726160/ /pubmed/26797514 http://dx.doi.org/10.1038/srep19452 Text en Copyright © 2016, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article Ronda, Carlotta Pedersen, Lasse Ebdrup Sommer, Morten O. A. Nielsen, Alex Toftgaard CRMAGE: CRISPR Optimized MAGE Recombineering |
title | CRMAGE: CRISPR Optimized MAGE Recombineering |
title_full | CRMAGE: CRISPR Optimized MAGE Recombineering |
title_fullStr | CRMAGE: CRISPR Optimized MAGE Recombineering |
title_full_unstemmed | CRMAGE: CRISPR Optimized MAGE Recombineering |
title_short | CRMAGE: CRISPR Optimized MAGE Recombineering |
title_sort | crmage: crispr optimized mage recombineering |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4726160/ https://www.ncbi.nlm.nih.gov/pubmed/26797514 http://dx.doi.org/10.1038/srep19452 |
work_keys_str_mv | AT rondacarlotta crmagecrisproptimizedmagerecombineering AT pedersenlasseebdrup crmagecrisproptimizedmagerecombineering AT sommermortenoa crmagecrisproptimizedmagerecombineering AT nielsenalextoftgaard crmagecrisproptimizedmagerecombineering |