Assembly of multi-gene pathways and combinatorial pathway libraries through ePathBrick vectors

Engineering Yarrowia lipolytica for Production of Fatty Alcohols with YaliBrick Vectors

Biosynthesis of fatty alcohol holds great promise as substitute to replace petroleum-derived fatty alcohols to mitigate environmental concerns and reduce earth's carbon footprint. In this protocol, we detail the procedures of how to use the YaliBrick gene assembly platform to achieve modular assembly of fatty alcohol pathway in Y. lipolytica. To limit fatty alcohol oxidation, we will also describe the hydroxyurea-based protocols for the efficient disruption of POX1 gene, encoding the fatty acyl coenzyme A in Y. lipolytica, with the homologous arm about 500 bp. We envision that this chapter would improve our ability to engineer microbial cell factories for oleochemical and fatty alcohol production in oleaginous yeast species.

Engineering Yarrowia lipolytica as a Chassis for De Novo Synthesis of Five Aromatic-Derived Natural Products and Chemicals

Yarrowia lipolytica is a novel microbial chassis to upgrade renewable low-cost carbon feedstocks to high-value commodity chemicals and natural products. In this work, we systematically characterized and removed the rate-limiting steps of the shikimate pathway and achieved de novo synthesis of five aromatic chemicals in Y. lipolytica. We determined that eliminating amino acids formation and engineering feedback-insensitive DAHP synthases are critical steps to mitigate precursor competition and relieve the feedback regulation of the shikimate pathway. Further overexpression of heterologous phosphoketolase and deletion of pyruvate kinase provided a sustained metabolic driving force that channels E4P (erythrose 4-phosphate) and PEP (phosphoenolpyruvate) precursors through the shikimate pathway. Precursor competing pathways and byproduct formation pathways were also blocked by inactivating chromosomal genes. To demonstrate the utility of our engineered chassis strain, three natural products, 2-phenylethanol (2-PE), p-coumaric acid, and violacein, which were derived from phenylalanine, tyrosine, and tryptophan, respectively, were chosen to test the chassis performance. We obtained 2426.22 ± 48.33 mg/L of 2-PE, 593.53 ± 28.75 mg/L of p-coumaric acid, 12.67 ± 2.23 mg/L of resveratrol, 366.30 ± 28.99 mg/L of violacein, and 55.12 ± 2.81 mg/L of deoxyviolacein from glucose in a shake flask. The 2-PE production represents a 286-fold increase over the initial strain (8.48 ± 0.50 mg/L). Specifically, we obtained the highest 2-PE, violacein, and deoxyviolacein titer ever reported from the de novo shikimate pathway in yeast. These results set up a new stage of engineering Y. lipolytica as a sustainable biorefinery chassis strain for de novo synthesis of aromatic compounds with economic values.

Genetic Tools for Streamlined and Accelerated Pathway Engineering in Yarrowia lipolytica

Yarrowia lipolytica is an industrial oleaginous yeast that has many attractive physiological and metabolic characteristics for various biotechnological applications. Although it has a long history of industrial applications, the number of genetic tools available to effectively and efficiently engineer Y. lipolytica still falls behind the vast number of tools available for common organisms such as Escherichia coli and Saccharomyces cerevisiae. In this protocol, we have developed a complete and versatile genetic toolkit tailored for facile genetic manipulation in Y. lipolytica. We created a versatile DNA assembly platform YaliBrick, which can streamline the cloning of large multigene pathways with reused genetic parts. We established a sensitive luciferase reporter assay to characterize a set of 12 native promoters. In addition, we used YaliBrick to generate different gene configurations in multigene constructs. The five-gene biosynthetic pathway of the anticancer, antimicrobial pigment violacein was rapidly assembled in 1 week to demonstrate the simplicity and effectiveness of integrating pathway-balancing strategies with our YaliBrick vectors. In the end, we incorporated CRISPR-Cas9 into our YaliBrick vectors and achieved indel mutation and frameshift gene deletion at the CAN1 (arginine permease) genomic loci of Yarrowia lipolytica. The reported protocol provides a standard procedure to streamline and accelerate metabolic pathway engineering in Yarrowia lipolytica.

The art of vector engineering: towards the construction of next-generation genetic tools

When recombinant DNA technology was developed more than 40 years ago, no one could have imagined the impact it would have on both society and the scientific community. In the field of genetic engineering, the most important tool developed was the plasmid vector. This technology has been continuously expanding and undergoing adaptations. Here, we provide a detailed view following the evolution of vectors built throughout the years destined to study microorganisms and their peculiarities, including those whose genomes can only be revealed through metagenomics. We remark how synthetic biology became a turning point in designing these genetic tools to create meaningful innovations. We have placed special focus on the tools for engineering bacteria and fungi (both yeast and filamentous fungi) and those available to construct metagenomic libraries. Based on this overview, future goals would include the development of modular vectors bearing standardized parts and orthogonally designed circuits, a task not fully addressed thus far. Finally, we present some challenges that should be overcome to enable the next generation of vector design and ways to address it.

YaliBricks, a versatile genetic toolkit for streamlined and rapid pathway engineering in Yarrowia lipolytica

Effective metabolic engineering of microorganisms relies on balanced expression of both heterologous and endogenous genes to channel metabolic flux towards products of interest while achieving reasonable biomass buildup. To facilitate combinatorial pathway engineering and facile genetic operation, we engineered a set of modular cloning vectors compatible with BioBrick standards, called YaliBricks, to allow for rapid assembly of multigene pathways with customized genetic control elements (promoters, intronic sequences and terminators) in the oleaginous yeast Yarrowia lipolytica. We established a sensitive luciferase reporter and characterized a set of 12 native promoters to expand the oleaginous yeast genetic toolbox for transcriptional fine-tuning. We harnessed the intron alternative splicing mechanism and explored three unique gene configurations that allow us to encode genetic structural variations into metabolic function. We elucidated the role of how these genetic structural variations affect gene expression. To demonstrate the simplicity and effectiveness of streamlined genetic operations, we assembled the 12 kb five-gene violacein biosynthetic pathway in one week. We also expanded this set of vectors to accommodate self-cleavage ribozymes and efficiently deliver guide RNA (gRNA) for targeted genome-editing with a codon-optimized CRISPR-Cas9 nuclease. Taken together, the tools built in this study provide a standard procedure to streamline and accelerate metabolic pathway engineering and genetic circuits construction in Yarrowia lipolytica.

Engineering oxidative stress defense pathways to build a robust lipid production platform in Yarrowia lipolytica

Microbially derived lipids have recently attracted renewed interests due to their broad applications in production of green diesels, cosmetic additives, and oleochemicals. Metabolic engineering efforts have targeted a large portfolio of biosynthetic pathways to efficiently convert sugar to lipids in oleaginous yeast. In the engineered overproducing strains, endogenous cell metabolism typically generates harmful electrophilic molecules that compromise cell fitness and productivity. Lipids, particularly unsaturated fatty acids, are highly susceptible to oxygen radical attack and the resulting oxidative species are detrimental to cell metabolism and limit lipid productivity. In this study, we investigated cellular oxidative stress defense pathways in Yarrowia lipolytica to further improve the lipid titer, yield, and productivity. Specifically, we determined that coupling glutathione disulfide reductase and glucose-6-phosphate dehydrogenase along with aldehyde dehydrogenase are efficient solutions to combat reactive oxygen and aldehyde stress in Y. lipolytica. With the reported engineering strategies, we were able to synchronize cell growth and lipid production, improve cell fitness and morphology, and achieved industrially-relevant level of lipid titer (72.7 g/L), oil content (81.4%) and productivity (0.97 g/L/h) in controlled bench-top bioreactors. The strategies reported here represent viable steps in the development of sustainable biorefinery platforms that potentially upgrade low value carbons to high value oleochemicals and biofuels. Biotechnol. Bioeng. 2017;114: 1521-1530. © 2017 Wiley Periodicals, Inc.

Development of a Transcription Factor-Based Lactam Biosensor

Lactams are an important class of commodity chemicals used in the manufacture of nylons, with millions of tons produced every year. Biological production of lactams could be greatly improved by high-throughput sensors for lactam biosynthesis. To identify biosensors of lactams, we applied a chemoinformatic approach inspired by small molecule drug discovery. We define this approach as analogue generation toward catabolizable chemicals or AGTC. We discovered a lactam biosensor based on the ChnR/Pb transcription factor-promoter pair. The microbial biosensor is capable of sensing ε-caprolactam, δ-valerolactam, and butyrolactam in a dose-dependent manner. The biosensor has sufficient specificity to discriminate against lactam biosynthetic intermediates and therefore could potentially be applied for high-throughput metabolic engineering for industrially important high titer lactam biosynthesis.

Improving Metabolic Pathway Efficiency by Statistical Model-Based Multivariate Regulatory Metabolic Engineering

Metabolic engineering entails target modification of cell metabolism to maximize the production of a specific compound. For empowering combinatorial optimization in strain engineering, tools and algorithms are needed to efficiently sample the multidimensional gene expression space and locate the desirable overproduction phenotype. We addressed this challenge by employing design of experiment (DoE) models to quantitatively correlate gene expression with strain performance. By fractionally sampling the gene expression landscape, we statistically screened the dominant enzyme targets that determine metabolic pathway efficiency. An empirical quadratic regression model was subsequently used to identify the optimal gene expression patterns of the investigated pathway. As a proof of concept, our approach yielded the natural product violacein at 525.4 mg/L in shake flasks, a 3.2-fold increase from the baseline strain. Violacein production was further increased to 1.31 g/L in a controlled benchtop bioreactor. We found that formulating discretized gene expression levels into logarithmic variables (Linlog transformation) was essential for implementing this DoE-based optimization procedure. The reported methodology can aid multivariate combinatorial pathway engineering and may be generalized as a standard procedure for accelerating strain engineering and improving metabolic pathway efficiency.

Synthetic sugar cassettes for the efficient production of flavonol glycosides in Escherichia coli

Background

A multi-monocistronic synthetic vector was used to assemble multiple genes of a nucleotide diphosphate (NDP)-sugar biosynthetic pathway to construct robust genetic circuits for the production of valuable flavonoid glycosides in Escherichia coli. Characterized functional genes involved in the biosynthesis of uridine diphosphate (UDP)-glucose and thymidine diphosphate (TDP)-rhamnose from various microbial sources along with glucose facilitator diffusion protein (glf) and glucokinase (glk) from Zymomonas mobilis were assembled and overexpressed in a single synthetic multi-monocistronic operon.

Results

The newly generated NDP-sugars biosynthesis circuits along with regiospecific glycosyltransferases from plants were introduced in E. coli BL21 (DE3) to probe the bioconversion of fisetin, a medicinally important polyphenol produced by various plants. As a result, approximately 1.178 g of fisetin 3-O-glucoside and 1.026 g of fisetin 3-O-rhamnoside were produced in UDP-glucose and TDP-rhamnose biosynthesis systems respectively, after 48 h of incubation in 3 L fermentor while supplementing 0.9 g of fisetin. These yields of fisetin glycosides represent ~99% of bioconversion of exogenously supplemented fisetin. The systems were also found to be highly effective in bio-transforming other flavonols (quercetin, kaempferol, myricetin) into their respective glycosides, achieving over 95% substrate conversion.

Conclusion

The construction of a synthetic expression vector for bacterial cell factory followed by subsequent re-direction of metabolic flux towards desirable products have always been revolutionized the biotechnological processes and technologies. This multi-monocistronic synthetic vector in a microbial platform is customizable to defined task and would certainly be useful for applications in producing and modifying such therapeutically valued plant secondary metabolites.

Electronic supplementary material

The online version of this article (doi:10.1186/s12934-015-0261-1) contains supplementary material, which is available to authorized users.

Systems and synthetic biology approaches to alter plant cell walls and reduce biomass recalcitrance

Fine-tuning plant cell wall properties to render plant biomass more amenable to biofuel conversion is a colossal challenge. A deep knowledge of the biosynthesis and regulation of plant cell wall and a high-precision genome engineering toolset are the two essential pillars of efforts to alter plant cell walls and reduce biomass recalcitrance. The past decade has seen a meteoric rise in use of transcriptomics and high-resolution imaging methods resulting in fresh insights into composition, structure, formation and deconstruction of plant cell walls. Subsequent gene manipulation approaches, however, commonly include ubiquitous mis-expression of a single candidate gene in a host that carries an intact copy of the native gene. The challenges posed by pleiotropic and unintended changes resulting from such an approach are moving the field towards synthetic biology approaches. Synthetic biology builds on a systems biology knowledge base and leverages high-precision tools for high-throughput assembly of multigene constructs and pathways, precision genome editing and site-specific gene stacking, silencing and/or removal. Here, we summarize the recent breakthroughs in biosynthesis and remodelling of major secondary cell wall components, assess the impediments in obtaining a systems-level understanding and explore the potential opportunities in leveraging synthetic biology approaches to reduce biomass recalcitrance.

Design and kinetic analysis of a hybrid promoter-regulator system for malonyl-CoA sensing in Escherichia coli

Malonyl-CoA is the rate-limiting precursor involved in the chain elongation reaction of a range of value-added pharmaceuticals and biofuels. Development of malonyl-CoA responsive sensors holds great promise in overcoming critical pathway limitations and optimizing production titers and yields. By incorporating the Bacillus subtilis trans-regulatory protein FapR and the cis-regulatory element fapO, we constructed a hybrid promoter-regulatory system that responds to a broad range of intracellular malonyl-CoA concentrations (from 0.1 to 1.1 nmol/mgDW) in Escherichia coli. Elimination of regulatory protein and nonspecific DNA cross-communication leads to a sensor construct that exhibits malonyl-CoA-dependent linear phase kinetics with increased dynamic response range. The sensors reported in this study could potentially control and optimize carbon flux leading to robust biosynthetic pathways for the production of malonyl-CoA-derived compounds.