Homologous recombination-mediated genome engineering has been broadly applied in prokaryotes with high efficiency and accuracy. However, this method is limited in realizing larger-scale genome editing with numerous genes or large DNA fragments because of the relatively complicated procedure for DNA editing template construction. Here, we describe a CRISPR-Cas9 assisted non-homologous end-joining (CA-NHEJ) strategy for the rapid and efficient inactivation of bacterial gene (s) in a homologous recombination-independent manner and without the use of selective marker. Our study show that CA-NHEJ can be used to delete large chromosomal DNA fragments in a single step that does not require homologous DNA template. It is thus a novel and powerful tool for bacterial genomes reducing and possesses the potential for accelerating the genome evolution.
Direct optimization of the metabolic pathways on the chromosome requires tools that can fine tune the overexpression of a desired gene or optimize the combination of multiple genes. Although plasmid-dependent overexpression has been used for this task, fundamental issues concerning its genetic stability and operational repeatability have not been addressed. Here, we describe a rapid and reliable strategy for chromosomal integration of gene(s) with multiple copies (CIGMC), which uses the flippase from the yeast 2-μm plasmid. Using green fluorescence protein as a model, we verified that the fluorescent intensity was in accordance with the integration copy number of the target gene. When a narrow-host-range replicon, R6K, was used in the integrative plasmid, the maximum integrated copy number of Escherichia coli reached 15. Applying the CIGMC method to optimize the overexpression of single or multiple genes in amino acid biosynthesis, we successfully improved the product yield and stability of the production. As a flexible strategy, CIGMC can be used in various microorganisms other than E. coli.
BackgroundClustered regularly interspaced short palindromic repeats interference (CRISPRi) is a recently developed powerful tool for gene regulation. In Escherichia coli, the type I CRISPR system expressed endogenously shall be easy for internal regulation without causing metabolic burden in compared with the widely used type II system, which expressed dCas9 as an additional plasmid.ResultsBy knocking out cas3 and activating the expression of CRISPR-associated complex for antiviral defense (Cascade), we constructed a native CRISPRi system in E. coli. Downregulation of the target gene from 6 to 82% was demonstrated using green fluorescent protein. Regulation of the citrate synthase gene (gltA) in the TCA cycle affected host metabolism. The effect of metabolic flux regulation was demonstrated by the poly-3-hydroxbutyrate (PHB) accumulation in vivo.ConclusionBy regulating native gltA in E. coli using an engineered endogenous type I-E CRISPR system, we redirected metabolic flux from the central metabolic pathway to the PHB synthesis pathway. This study demonstrated that the endogenous type I-E CRISPR-Cas system is an easy and effective method for regulating internal metabolic pathways, which is useful for product synthesis.Electronic supplementary materialThe online version of this article (doi:10.1186/s12934-016-0594-4) contains supplementary material, which is available to authorized users.
Metabolic engineering aims to achieve high yields of desired products. The most common strategies focus on optimization of metabolic flux distributions. The dynamic activation or inhibition of gene expression through quorum sensing (QS) has been applied to metabolic engineering. In this study, we designed and constructed a series of QS-based bifunctional dynamic switches (QS switches) capable of synchronizing the up-regulation and down-regulation of genes at different times and intervals. The bifunctional QS switches were based on the Esa QS system, because EsaR regulatory proteins can act as transcriptional activator and repressor. The QS switches’ effectiveness and feasibility were verified through fluorescence characterization. Finally, the QS switches were applied to the production of 5-aminolevulinic acid (ALA) and poly-β-hydroxybutyrate (PHB) to solve two key metabolic engineering problems: necessary gene knockout and redirection of metabolic flux. The production of PHB and ALA was increased 6- and 12-fold in Escherichia coli, respectively.
Current challenge for dynamic pathway control in metabolic engineering is enabling the components of the artificial regulatory system to be tunable. Here, we designed and built a heme-responsive regulatory system containing a heme biosensor HrtR and CRISPRi to regulate chemicals production while maintaining the intracellular heme homeostasis. A series of engineered biosensors with varied sensitivity and threshold were obtained by semi-rational design with site saturated mutation of HrtR. The modified metabolite-binding affinity of HrtR was confirmed by heme titration and molecular dynamic simulation. Dynamic regulation pattern of the system was validated by the fluctuation of gene expression and intracellular heme concentration. The efficiency of this regulatory system was proved by improving the 5-aminolevulinic acid (ALA) production to 5.35g/L, the highest yield in batch fermentation of Escherichia coli. This system was also successfully used in improving porphobilinogen (PBG) and porphyrins biosynthesis and can be applied in many other biological processes.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.