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Engineering dynamic pathway regulation using stress-response promoters

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TLDR
This paper applied whole-genome transcript arrays to identify promoters that respond to the accumulation of toxic intermediates, and then used these promoters to control accumulation of the intermediate and improve the final titers of a desired product.
Abstract
Heterologous pathways used in metabolic engineering may produce intermediates toxic to the cell. Dynamic control of pathway enzymes could prevent the accumulation of these metabolites, but such a strategy requires sensors, which are largely unknown, that can detect and respond to the metabolite. Here we applied whole-genome transcript arrays to identify promoters that respond to the accumulation of toxic intermediates, and then used these promoters to control accumulation of the intermediate and improve the final titers of a desired product. We apply this approach to regulate farnesyl pyrophosphate (FPP) production in the isoprenoid biosynthetic pathway in Escherichia coli. This strategy improved production of amorphadiene, the final product, by twofold over that from inducible or constitutive promoters, eliminated the need for expensive inducers, reduced acetate accumulation and improved growth. We extended this approach to another toxic intermediate to demonstrate the broad utility of identifying novel sensor-regulator systems for dynamic regulation.

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Citations
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CRISPR interference-guided balancing of a biosynthetic mevalonate pathway increases terpenoid production

TL;DR: The regulatable CRISPRi system proved to be a robust platform for systematic modulation of biosynthetic and endogenous gene expression, and can be used to tune biosynthetics metabolic pathways.
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Engineering microbial hosts for production of bacterial natural products

TL;DR: This review covers recent developments and challenges in the engineering of native and heterologous microbial hosts for the production of bacterial natural products, focusing on the genetic tools and strategies for strain improvement.
Journal ArticleDOI

Biological insights through nontargeted metabolomics.

TL;DR: It is found that most mechanistic links were still revealed by hypothesis-driven targeted methods, and novel computational approaches are required to tap the full potential of nontargeted metabolomics for data-driven, discovery-oriented research and rapidly nucleating novel biological insights.
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Metabolic engineering of volatile isoprenoids in plants and microbes

TL;DR: The ways in which researchers have so far found to exploit volatile isoprenoids using biotechnology are examined, including engineering through both mevalonate and methylerythritol diphosphate pathways.
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Applications of CRISPR/Cas System to Bacterial Metabolic Engineering.

TL;DR: Methods to increase the productivity and yield/titer scan by controlling metabolic flux through individual or combinatorial use of CRISPR/Cas andCRISPRi systems with introduction of synthetic pathway in industrially common bacteria including Escherichia coli are focused on.
References
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Journal ArticleDOI

Production of the antimalarial drug precursor artemisinic acid in engineered yeast

TL;DR: The engineering of Saccharomyces cerevisiae to produce high titres (up to 100 mg l-1) of artemisinic acid using an engineered mevalonate pathway, amorphadiene synthase, and a novel cytochrome P450 monooxygenase from A. annua that performs a three-step oxidation of amorpha-4,11-diene to art Artemisinic acid.
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Genesis: cluster analysis of microarray data

TL;DR: Genesis integrates various tools for microarray data analysis such as filters, normalization and visualization tools, distance measures as well as common clustering algorithms including hierarchical clustering, self-organizing maps, k-means, principal component analysis, and support vector machines.
Journal ArticleDOI

Engineering a mevalonate pathway in Escherichia coli for production of terpenoids

TL;DR: The strains developed in this study can serve as platform hosts for the production of any terpenoid compound for which a terpene synthase gene is available, and are the universal precursors to all isoprenoids.
Journal ArticleDOI

Automated design of synthetic ribosome binding sites to control protein expression

TL;DR: A predictive method for designing synthetic ribosome binding sites is developed, enabling a rational control over the protein expression level, and is demonstrated by rationally optimizing protein expression to connect a genetic sensor to a synthetic circuit.
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