Improving CRISPR/Cas9-mediated genome editing efficiency in Yarrowia lipolytica using direct tRNA-sgRNA fusions.

Yarrowia lipolytica is an important oleaginous yeast currently used in the production of specialty chemicals and has a great potential for further applications in lipid biotechnology. Harnessing the full potential of Y. lipolytica is, however, limited by its inherent recalcitrance to genetic manipulation. In contrast to Saccharomyces cerevisiae, Y. lipolytica is poor in homology-mediated DNA repair and thus in homologous recombination, which limits site-specific gene editing in this yeast. Recently developed CRISPR/Cas9-based methods using tRNA-sgRNA fusions succeeded in editing some genomic loci in Y. lipolytica. Nonetheless, the majority of other tested loci either failed editing or editing was achieved but at very low efficiency using these methods. Using tools of secondary RNA structure prediction, we were able to improve the design of the tRNA-sgRNA fusions used for the expression of single guide RNA (sgRNA) in such methods. This resulted in high efficiency CRISPR/cas9 gene editing at chromosomal loci that failed gene editing or were edited at very low efficiencies with previous methods. In addition, we characterized the gene editing performance of our newly designed tRNA-sgRNA fusions for both chromosomal gene integration and deletion. As such, this study presents an efficient CRISPR/Cas9-mediated gene-editing tool for efficient genetic engineering of Yarrowia lipolytica.

Eliciting the impacts of cellular noise on metabolic trade-offs by quantitative mass imaging.

Optimal metabolic trade-offs between growth and productivity are key constraints in strain optimization by metabolic engineering; however, how cellular noise impacts these trade-offs and drives the emergence of subpopulations with distinct resource allocation strategies, remains largely unknown. Here, we introduce a single-cell strategy for quantifying the trade-offs between triacylglycerol production and growth in the oleaginous microorganism Yarrowia lipolytica. The strategy relies on high-throughput quantitative-phase imaging and, enabled by nanoscale secondary ion mass spectrometry analyses and dedicated image processing, allows us to image how resources are partitioned between growth and productivity. Enhanced precision over population-averaging biotechnologies and conventional microscopy demonstrates how cellular noise impacts growth and productivity differently. As such, subpopulations with distinct metabolic trade-offs emerge, with notable impacts on strain performance and robustness. By quantifying the self-degradation of cytosolic macromolecules under nutrient-limiting conditions, we discover the cell-to-cell heterogeneity in protein and fatty-acid recycling, unmasking a potential bet-hedging strategy under starvation.

Engineering Microbes to Synthesize Plant Isoprenoids.

Humans constantly look for faster, more economical, and more sustainable ways to produce chemicals that originally harvested from nature. Over the past two decades, substantial progress has been made toward this goal by harnessing enzymes and cells as biocatalysts. For example, enzymes of slow-growing plants can be reconstituted in microbes, which empower them with the ability to produce useful plant metabolic compounds from sugars faster than plants. In this chapter, we provide protocols for producing isoprenoids - a large group of useful natural products - in microbes. It has been found that expression of genes encoding plant enzymes and selected endogenous genes must be delicately adjusted in microbes, otherwise isoprenoid production is negatively affected. Therefore, we focus on how to balance gene expression in Escherichia coli and use process engineering to increase its isoprenoid production. We also introduce our recent work on the use of microbial consortia and provide protocols for using yeast to help E. coli functionalize its isoprenoid product. Together, the methods and protocols provided here should be useful to researchers who aim to use microbes to synthesize novel isoprenoids.

Origins of Cell-to-Cell Bioprocessing Diversity and Implications of the Extracellular Environment Revealed at the Single-Cell Level.

Bioprocess limitations imposed by microbial cell-to-cell phenotypic diversity remain poorly understood. To address this, we investigated the origins of such culture diversity during lipid production and assessed the impact of the fermentation microenvironment. We measured the single-cell lipid production dynamics in a time-invariant microfluidic environment and discovered that production is not monotonic, but rather sporadic with time. To characterize this, we introduce bioprocessing noise and identify its epigenetic origins. We linked such intracellular production fluctuations with cell-to-cell productivity diversity in culture. This unmasked the phenotypic diversity amplification by the culture microenvironment, a critical parameter in strain engineering as well as metabolic disease treatment.

Metabolic pathway alterations that support cell proliferation.

Proliferating cells adapt metabolism to support the conversion of available nutrients into biomass. How cell metabolism is regulated to balance the production of ATP, metabolite building blocks, and reducing equivalents remains uncertain. Proliferative metabolism often involves an increased rate of glycolysis. A key regulated step in glycolysis is catalyzed by pyruvate kinase to convert phosphoenolpyruvate (PEP) to pyruvate. Surprisingly, there is strong selection for expression of the less active M2 isoform of pyruvate kinase (PKM2) in tumors and other proliferative tissues. Cell growth signals further decrease PKM2 activity, and cells with less active PKM2 use another pathway with separate regulatory properties to convert PEP to pyruvate. One consequence of using this alternative pathway is an accumulation of 3-phosphoglycerate (3PG) that leads to the diversion of 3PG into the serine biosynthesis pathway. In fact, in some cancers a substantial portion of the total glucose flux is directed toward serine synthesis, and genetic evidence suggests that glucose flux into this pathway can promote cell transformation. Environmental conditions can also influence the pathways that cells use to generate biomass with the source of carbon for lipid synthesis changing based on oxygen availability. Together, these findings argue that distinct metabolic phenotypes exist among proliferating cells, and both genetic and environmental factors influence how metabolism is regulated to support cell growth.

Genes and related proteins involved in amelogenesis imperfecta.

Dental enamel formation is a remarkable example of a biomineralization process. The exact mechanisms involved in this process remain partly obscure. Some of the genes encoding specific enamel proteins have been indicated as candidate genes for amelogenesis imperfecta. Mutational analyses within studied families have supported this hypothesis. Mutations in the amelogenin gene (AMELX) cause X-linked amelogenesis imperfecta, while mutations in the enamelin gene (ENAM) cause autosomal-inherited forms of amelogenesis imperfecta. Recent reports involve kallikrein-4 (KLK4), MMP-20, and DLX3 genes in the etiologies of some cases. This paper focuses mainly on the candidate genes involved in amelogenesis imperfecta and the proteins derived from them, and reviews current knowledge on their structure, localization within the tissue, and correlation with the various types of this disorder.

Identifying gene targets for the metabolic engineering of lycopene biosynthesis in Escherichia coli.

The identification of genetic targets that are effective in bringing about a desired phenotype change is still an open problem. While random gene knockouts have yielded improved strains in certain cases, it is also important to seek the guidance of cell-wide stoichiometric constraints in identifying promising gene knockout targets. To investigate these issues, we undertook a genome-wide stoichiometric flux balance analysis as an aid in discovering putative genes impacting network properties and cellular phenotype. Specifically, we calculated metabolic fluxes such as to optimize growth and then scanned the genome for single and multiple gene knockouts that yield improved product yield while maintaining acceptable overall growth rate. For the particular case of lycopene biosynthesis in Escherichia coli, we identified such targets that we subsequently tested experimentally by constructing the corresponding single, double and triple gene knockouts. While such strains are suggested (by the stoichiometric calculations) to increase precursor availability, this beneficial effect may be further impacted by kinetic and regulatory effects not captured by the stoichiometric model. For the case of lycopene biosynthesis, the so identified knockout targets yielded a triple knockout construct that exhibited a nearly 40% increase over an engineered, high producing parental strain.

Metabolic flux control analysis of branch points: an improved approach to obtain flux control coefficients from large perturbation data.

An overview of published approaches for the metabolic flux control analysis of branch points revealed that often not all fundamental constraints on the flux control coefficients have been taken into account. This has led to contradictory statements in literature on the minimum number of large perturbation experiments required to estimate the complete set of flux control coefficients C(J) for a metabolic branch point. An improved calculation procedure, based on approximate Lin-log reaction kinetics, is proposed, providing explicit analytical solutions of steady state fluxes and metabolite concentrations as a function of large changes in enzyme levels. The obtained solutions allow direct calculation of elasticity ratios from experimental data and subsequently all C(J)-values from the unique relation between elasticity ratio's and flux control coefficients. This procedure ensures that the obtained C(J)-values satisfy all fundamental constraints. From these it follows that for a three enzyme branch point only one characterised or two uncharacterised large flux perturbations are sufficient to obtain all C(J)- values. The improved calculation procedure is illustrated with four experimental cases.

Metabolic flux redistribution in Corynebacterium glutamicum in response to osmotic stress.

Osmotic stress constitutes a major bacterial stress factor in the soil and during industrial fermentation. In this paper, we quantified the metabolic response, in terms of metabolic flux redistribution, of a lysine-overproducing strain of Corynebacterium glutamicum grown under continuous culture, to gradually increasing osmolality. Oxygen and carbon dioxide evolution rates, and the changes in concentration of extracellular, as well as intracellular, metabolites were measured throughout the osmotic gradient. The metabolic fluxes were estimated from these measurements and from the mass balance constraints at each metabolite-node of the assumed metabolic reaction network. Our results show that formation rates of compatible solutes--trehalose first and proline at a later stage of the gradient--increased with osmotic stress to equilibrate the external osmotic pressure. Estimated flux distributions indicate that the observed increase in the glucose specific uptake rate with osmotic stress is channeled through the main energy generating pathways-- glycolysis and the tricarboxylic acid cycle--while the flux through the pentose phosphate pathway remains constant throughout the gradient. This results in a significant increase in the net specific ATP production rate, which may possibly be used to support the higher energy requirements required for cellular maintenance at high osmolalities. Finally, nodal analysis confirmed that the PEP/pyruvate node is essentially rigid and that the glucose-6-phosphate, oxaloacetate and alpha-ketoglutarate nodes are flexible and therefore adaptable to changes in osmotic pressure in C. glutamicum.

Genome-wide screening for trait conferring genes using DNA microarrays.

We report a DNA microarray-based method for genome-wide monitoring of competitively grown transformants to identify genes whose overexpression confers a specific cellular phenotype. Whereas transcriptional profiling identifies differentially expressed genes that are correlated with particular aspects of the cellular phenotype, this functional genomics approach determines genes that result in a specific physiology. This parallel gene-trait mapping method consists of transforming a strain with a genomic library, enriching the cell population in transformants containing the trait conferring gene(s), and finally using DNA microarrays to simultaneously isolate and identify the enriched gene inserts. Various methods of enrichment can be used; here, genes conferring low-level antibiotic resistance were identified by growth in selective media. We demonstrated the method by transforming Escherichia coli cells with a genomic E. coli library and selecting for transformants exhibiting a growth advantage in the presence of the anti-microbial agent Pine-Sol. Genes conferring Pine-Sol tolerance (19 genes) or sensitivity (27 genes) were identified by hybridizing, on DNA microarrays containing 1,160 E. coli gene probes, extra-chromosomal DNA isolated from transformed cells grown in the presence of various levels of Pine-Sol. Results were further validated by plating and sequencing of individual colonies, and also by assessing the Pine-Sol resistance of cells transformed with enriched plasmid library or individual resistance genes identified by the microarrays. Applications of this method beyond antibiotic resistance include identification of genes resulting in resistance to chemotherapeutic agents, genes yielding resistance to toxic products (recombinant proteins, chemical feedstocks) in industrial fermentations, genes providing enhanced growth in cell culture or high cell density fermentations, genes facilitating growth on unconventional substrates, and others.

Application of radiolabeled tracers to biocatalytic flux analysis.

Radiolabeled tracers can provide valuable information about the structure of and flux distributions in biocatalytic reaction networks. This method derives from prior studies of glucose metabolism in mammalian systems and is implemented by pulsing a culture with a radiolabeled metabolite that can be transported into the cells and subsequently measuring the radioactivity of all network metabolites following separation by liquid chromatography. Intracellular fluxes can be directly determined from the transient radioactivity count data by tracking the depletion of the radiolabeled metabolite and/or the accompanying accumulation of any products formed. This technique differs from previous methods in that it is applied within a systems approach to the problem of flux determination. It has been used for the investigation of the indene bioconversion network expressed in Rhodococcus sp. KY1. Flux estimates obtained by radioactive tracers were confirmed by macroscopic metabolite balancing and showed that indene oxidation in steady state chemostat cultures proceeds primarily through a monooxygenase activity forming (1S,2R)-indan oxide, with no dehydrogenation of trans-(1R,2R)-indandiol. These results confirmed the significance of indan oxide formation and identified the hydrolysis of indan oxide as a key step in maximizing the production of (2R)-indandiol, a chiral precursor of the HIV protease inhibitor, Crixivan.

Rapamycin reduces hybridoma cell death and enhances monoclonal antibody production.

Rapamycin was used as a medium additive to slow the progression of CRL 1606 hybridomas through the cell cycle, under the hypothesis that such a modulation might reduce cell death. Cell cycle distributions for CRL hybridomas in the G1 phase of the cell cycle ranged from 20% to 35% during batch, fed-batch, and continuous culture experiments, independent of culture time, dilution rate, growth rates, or death rates. Rapamycin, an mTOR signaling inhibitor, immunosuppressant, and G1-phase arresting agent, was identified and tested for efficacy in restraining cell cycle progression in CRL 1606 hybridoma cultures. However, in the presence of 100 nM rapamycin, the percentage of cells in the G1 phase of the cell cycle during fed-batch cultures was only increased from 28% to 31% in control cultures to 37% to 48% for those with rapamycin. Accordingly, rapamycin only slightly reduced culture growth rate. Instead, the use of rapamycin more notably kept viability higher than that of control cultures by delaying cell death for 48 h, thereby enabling viable proliferation to higher maximum viable cell densities. Furthermore, rapamycin enhanced specific monoclonal antibody production by up to 100% during high-viability growth. Thus, over the course of 6-day fed-batch cultivations, the beneficial effects of rapamycin on viable cell density and specific productivity resulted in an increase in final monoclonal antibody titer from 0.25 to 0.56 g/L (124%). As rapamycin is reported to influence a much broader range of cellular functions than cell cycle alone, these findings are more illustrative of the influence that signal transduction pathways related to mTOR can have on overall cell physiology and culture productivity.

Metabolic engineering as an integrating platform for strain development.

Integration of the analytical framework and experimental tools of metabolic engineering with emerging technologies such as DNA microarrays and directed evolution stands to dramatically improve the approaches by which strain improvement and biocatalyst design are pursued in the future. Progress in genomics and applied molecular biology, together with increasing emphasis on renewable resource utilization for chemical production, has advanced metabolic engineering to the forefront of biotechnological interest.

After a decade of progress, an expanded role for metabolic engineering.

Over the past decade, metabolic engineering has emerged as an active and distinct discipline characterized by its over-arching emphasis on integration. In practice, metabolic engineering is the directed improvement of cellular properties through the application of modern genetic methods. Although it was applied on an ad hoc basis for several years following the introduction of recombinant techniques [1,2], metabolic engineering was formally defined as a new field approximately a decade ago [3]. Since that time, many creative applications, directed primarily to metabolite overproduction, have been reported [4]. In parallel, recent advances in the resolution and acquisition time of biological data, especially structural and functional genomics, has amplified interest in the systemic view of biology that metabolic engineering provides. To facilitate the burgeoning scientific exchange in this area on a more regular and convenient basis, a new conference series was launched in 1996 followed by a new journal in 1999.

Metabolic engineering of indene bioconversion in Rhodococcus sp.

We have applied the methodology of metabolic engineering in the investigation of the enzymatic bioreaction network in Rhodococcus sp. that catalyzes the bioconversion of indene to (2R)-indandiol suitable for the synthesis of cis-1-amino-2-indanol, a precursor of the HIV protease inhibitor, Crixivan. A chemostat with a novel indene air delivery system was developed to facilitate the study of steady state physiology of Rhodococcus sp. 124. Prolonged cultivation of this organism in a continuous flow system led to the evolution of a mutant strain, designated KY1, with improved bioconversion properties, in particular a twofold increase in yield of (2R)-indandiol relative to 124. Induction studies with both strains indicated that KY1 lacked a toluene-inducible dioxygenase activity present in 124 and responsible for the formation of undesired byproducts. Flux analysis of indene bioconversion in KY1 performed using steady state metabolite balancing and labeling with [14C]-tracers revealed that at least 94% of the indene is oxidized by a monooxygenase to indan oxide that is subsequently hydrolyzed to trans-(1R,2R)-indandiol and cis-(1S,2R)-indandiol. This analysis identified several targets in KY1 for increasing (2R)-indandiol product yield. Most promising among them is the selective hydrolysis of indan oxide to trans-(1R,2R)-indandiol through expression of an epoxide hydrolase or modification of culture conditions.

A compendium of gene expression in normal human tissues.

This study creates a compendium of gene expression in normal human tissues suitable as a reference for defining basic organ systems biology. Using oligonucleotide microarrays, we analyze 59 samples representing 19 distinct tissue types. Of approximately 7,000 genes analyzed, 451 genes are expressed in all tissue types and designated as housekeeping genes. These genes display significant variation in expression levels among tissues and are sufficient for discerning tissue-specific expression signatures, indicative of fundamental differences in biochemical processes. In addition, subsets of tissue-selective genes are identified that define key biological processes characterizing each organ. This compendium highlights similarities and differences among organ systems and different individuals and also provides a publicly available resource (Human Gene Expression Index, the HuGE Index, http://www.hugeindex.org) for future studies of pathophysiology.

Targeted, PCR-based gene disruption in cyanobacteria: inactivation of the polyhydroxyalkanoic acid synthase genes in Synechocystis sp. PCC6803.

A PCR-based method is described for the efficient construction of targeted gene disruptions and gene fusions in the cyanobacterium Synechocystis sp. PCC6803. In a simple two-step PCR approach, a gene conversion cassette was synthesized targeting the polyhydroxyalkanoic acid (PHA) synthase genes. Upon transformation, PHA production in Synechocystis under normal as well as high production culture conditions was undetectable. The application of this method to the genetic inactivation of the phaE-C(Syn) gene cluster demonstrates its potential for genetic engineering of cyanobacteria and the study of functional genomics in Synechocystis.

Metabolic flux analysis of postburn hepatic hypermetabolism.

The hepatic response to severe injury is characterized by a marked upregulation of glucose, fatty acid, and amino acid turnover, which, if persistent, predisposes the patient to progressive organ dysfunction. To study the effect of injury on liver intermediary metabolism, metabolic flux analysis was applied to isolated perfused livers of burned and sham-burned rats. Intracellular fluxes were calculated using metabolite measurements and a stoichiometric balance model. Significant flux increases were found for multiple pathways, including mitochondrial electron transport, the TCA and urea cycles, gluconeogenesis, and pentose phosphate pathway (PPP). The burn-induced increase in gluconeogenesis did not significantly increase glucose output. Instead, glucose-6-phosphate was diverted into the PPP. These changes were paralleled by increases in glucose-6-phosphate dehydrogenase (G6PDH) and glutathione reductase (GR) activities. Given that G6PDH and GR are the most significant NADPH producers and consumers in the liver, respectively, and that GR is responsible for recycling the free radical scavenger glutathione, these data are consistent with the notion that hepatic metabolic changes are in part due to the induction of liver antioxidant defenses.