Explore the vast range of titles available.

Yarrowia lipolytica possesses natural and engineered traits that make it a good host for the industrial bioproduction of chemicals, fuels, foods, and pharmaceuticals. In recent years, academic and industrial researchers have assessed its potential, developed synthetic biology techniques, improved its features, scaled its processes, and identified its limitations. Both publications and patents related to Y. lipolytica have shown a drastic increase during the past decade. Here, we discuss the characteristics of this yeast that make it suitable for industry and the remaining challenges for its wider use at large scale. We present evidence herein that shows the importance and potential of Y. lipolytica in bioproduction such that it may soon be one of the preferred choices of industry. Selection of the most appropriate microorganism is one of the key aspects for the industrial success of microbial bioprocesses.Yarrowia lipolytica has gained interest as a chassis strain in academia and industry because of its capacity to make products at high yields, use a broad range of substrates, and be genetically amenable.Y. lipolytica has many features that are desired at an industrial scale, such as safety, robustness, efficient and stable genetic modifications, capacity to use a variety of substrates, and ability to grow at very high cell density.To further improve the industrial use of Y. lipolytica, some characteristics must be improved through metabolic engineering, such as the high oxygen requirement, byproduct formation, and excessive foam synthesis.

Economically viable biotechnology processes must be characterized by a favorable ratio between the production costs and the product market price. In the bioproduction of bulk chemicals, costs must be minimized so that the process is competitive relative to petroleum-based production. The substrate costs must thus be reduced by employing inexpensive carbon sources, such as industrial wastes. Unfortunately, the most convenient microorganisms for a bioconversion are typically unable to degrade such substrates. Fortunately, the discovery of new enzymes together with advances in synthetic biology has moved metabolic engineering forward, expanding substrate ranges. Here we review the latest advances made using the industrial yeast Yarrowia lipolytica, which can exploit various carbon sources to produce biofuels and chemicals. Even when bioconversion yields are high, biotechnology processes may be economically unviable because of the high and/or unstable cost of common substrates. Raw, inexpensive carbon sources, usually complex sugar polymers, are preferred. Although these substrates can be pretreated using chemical/enzymatic processes to release their subunits, all-in-one consolidated bioprocesses are preferred. Most industrial microorganisms are unable to degrade raw substrates such as lignocellulosic biomass or even certain monosaccharide subunits. They must therefore be engineered to fully degrade target substrates. Metabolic engineering has successfully expanded the range of simple and complex substrates that industrial microbes can degrade. For example, the yeast Yarrowia lipolytica has been engineered to break down carbon sources that it cannot degrade naturally.

Succinic acid (SA) is an important C4-dicarboxylic acid. Microbial production of SA at low pH results in low purification costs and hence good overall process economics. However, redox imbalances limited SA biosynthesis from glucose via the reductive tricarboxylic acid (TCA) cycle in yeast. Here, we engineer the strictly aerobic yeast Yarrowia lipolytica for efficient SA production without pH control. Introduction of the reductive TCA cycle into the cytosol of a succinate dehydrogenase-disrupted yeast strain causes arrested cell growth. Although adaptive laboratory evolution restores cell growth, limited NADH supply restricts SA production. Reconfiguration of the reductive SA biosynthesis pathway in the mitochondria through coupling the oxidative and reductive TCA cycle for NADH regeneration results in improved SA production. In pilot-scale fermentation, the engineered strain produces 111.9 g/L SA with a yield of 0.79 g/g glucose within 62 h. This study paves the way for industrial production of biobased SA. Redox imbalance limits succinic acid (SA) biosynthesis from glucose via the reductive tricarboxylic acid (TCA) cycle in yeast. Here, the authors engineering the aerobic yeast Yarrowia lipolytica for efficient SA production without pH control via coupling the oxidative and reductive TCA cycle for NADH regeneration in mitochondria.

Metabolic engineering of the oleaginous yeast Yarrowia lipolytica greatly enhances yields of omega-3 eicosapentaenoic acid. The availability of the omega-3 fatty acids eicosapentaenoic acid (EPA) and docosahexaenoic acid (DHA) is currently limited because they are produced mainly by marine fisheries that cannot keep pace with the demands of the growing market for these products. A sustainable non-animal source of EPA and DHA is needed. Metabolic engineering of the oleaginous yeast Yarrowia lipolytica resulted in a strain that produced EPA at 15% of dry cell weight. The engineered yeast lipid comprises EPA at 56.6% and saturated fatty acids at less than 5% by weight, which are the highest and the lowest percentages, respectively, among known EPA sources. Inactivation of the peroxisome biogenesis gene PEX10 was crucial in obtaining high EPA yields and may increase the yields of other commercially desirable lipid-related products. This technology platform enables the production of lipids with tailored fatty acid compositions and provides a sustainable source of EPA.

Polyketides represent an extremely diverse class of secondary metabolites often explored for their bioactive traits. These molecules are also attractive building blocks for chemical catalysis and polymerization. However, the use of polyketides in larger scale chemistry applications is stymied by limited titers and yields from both microbial and chemical production. Here, we demonstrate that an oleaginous organism (specifically, Yarrowia lipolytica) can overcome such production limitations owing to a natural propensity for high flux through acetyl–CoA. By exploring three distinct metabolic engineering strategies for acetyl–CoA precursor formation, we demonstrate that a previously uncharacterized pyruvate bypass pathway supports increased production of the polyketide triacetic acid lactone (TAL). Ultimately, we establish a strain capable of producing over 35% of the theoretical conversion yield to TAL in an unoptimized tube culture. This strain also obtained an averaged maximum titer of 35.9 ± 3.9 g/L with an achieved maximum specific productivity of 0.21 ± 0.03 g/L/h in bioreactor fermentation. Additionally, we illustrate that a β-oxidation-related overexpression (PEX10) can support high TAL production and is capable of achieving over 43% of the theoretical conversion yield under nitrogen starvation in a test tube. Next, through use of this bioproduct, we demonstrate the utility of polyketides like TAL to modify commodity materials such as poly(epichlorohydrin), resulting in an increased molecular weight and shift in glass transition temperature. Collectively, these findings establish an engineering strategy enabling unprecedented production from a type III polyketide synthase as well as establish a route through O-functionalization for converting polyketides into new materials.

Background Demand for Cocoa butter is steadily increasing, but the supply of cocoa beans is naturally limited and under threat from global warming. One route to meeting the future demand for cocoa butter equivalent (CBE) could be to utilize microbial cell factories such as the oleaginous yeast Yarrowia lipolytica. Results The main goal was to achieve triacyl-glycerol (TAG) storage lipids in Y. lipolytica mimicking cocoa butter. This was accomplished by replacing the native Δ9 fatty acid desaturase (Ole1p) with homologs from other species and changing the expression of both Ole1p and the Δ12 fatty acid desaturase (Fad2p). We thereby abolished the palmitoleic acid and reduced the linoleic acid content in TAG, while the oleic acid content was reduced to approximately 40 percent of the total fatty acids. The proportion of fatty acids in TAG changed dramatically over time during growth, and the fatty acid composition of TAG, free fatty acids and phospholipids was found to be very different. Conclusions We show that the fatty acid profile in the TAG of Y. lipolytica can be altered to mimic cocoa butter. We also demonstrate that a wide range of fatty acid profiles can be achieved while maintaining good growth and high lipid accumulation, which, together with the ability of Y. lipolytica to utilize a wide variety of carbon sources, opens up the path toward sustainable production of CBE and other food oils.

Lipid-based biofuels, such as biodiesel and hydroprocessed esters, are a central part of the global initiative to reduce the environmental impact of the transport sector. The vast majority of production is currently from first-generation feedstocks, such as rapeseed oil, and waste cooking oils. However, the increased exploitation of soybean oil and palm oil has led to vast deforestation, smog emissions and heavily impacted on biodiversity in tropical regions. One promising alternative, potentially capable of meeting future demand sustainably, are oleaginous yeasts. Despite being known about for 143 years, there has been an increasing effort in the last decade to develop a viable industrial system, with currently around 100 research papers published annually. In the academic literature, approximately 160 native yeasts have been reported to produce over 20% of their dry weight in a glyceride-rich oil. The most intensively studied oleaginous yeast have been Cutaneotrichosporon oleaginosus (20% of publications), Rhodotorula toruloides (19%) and Yarrowia lipolytica (19%). Oleaginous yeasts have been primarily grown on single saccharides (60%), hydrolysates (26%) or glycerol (19%), and mainly on the mL scale (66%). Process development and genetic modification (7%) have been applied to alter yeast performance and the lipids, towards the production of biofuels (77%), food/supplements (24%), oleochemicals (19%) or animal feed (3%). Despite over a century of research and the recent application of advanced genetic engineering techniques, the industrial production of an economically viable commodity oil substitute remains elusive. This is mainly due to the estimated high production cost, however, over the course of the twenty-first century where climate change will drastically change global food supply networks and direct governmental action will likely be levied at more destructive crops, yeast lipids offer a flexible platform for localised, sustainable lipid production. Based on data from the large majority of oleaginous yeast academic publications, this review is a guide through the history of oleaginous yeast research, an assessment of the best growth and lipid production achieved to date, the various strategies employed towards industrial production and importantly, a critical discussion about what needs to be built on this huge body of work to make producing a yeast-derived, more sustainable, glyceride oil a commercial reality.

The oleaginous yeast Yarrowia lipolytica has been gaining increasing importance as an industrial biotech platform, supported by several available metabolic engineering tools. Genome-scale models (GEMs) are relevant to the iterative improvement of this yeast, and their predictive ability is enhanced by enzymatic activity constraints (ecGEMs). Although the newest tools for ecGEM reconstruction use deep learning to expand the coverage of these constraints, this approach has not yet been applied to Y. lipolytica models. This paper describes the reconstruction of an ecGEM of Y. lipolytica ( eciYali5-GEM ) and its application in predicting metabolic engineering targets for enhanced lipid and carotenoid production, respectively, in this yeast. To achieve this, we constrained a manually curated Y. lipolytica model with physiological flux and mass-spectrometry proteomics data collected from distinct growth phases of two engineered strains (producing lipids and carotenoids, respectively) and their parental strain. We found that the enzymatic constraints enable the prediction of growth-phase-specific metabolic engineering targets, a feature not displayed by regular GEMs. Combining these targets with other ecGEM-based insights, we propose two strategies for further metabolic engineering, including the use of inducible promoters for precise, growth-phase-specific expression of targets such as phytoene dehydrogenase for carotenoid production. These targets included genes previously validated elsewhere, as well as novel genes awaiting experimental validation. This model, which is publicly available, can be similarly adapted and used by different metabolic engineering efforts, making it a versatile tool for the development of Y. lipolytica as a microbial cell factory. Key points • eciYali5-GEM reconstruction used in silico and in vitro proteomics data. • Enzyme constraints enriched Y. lipolytica ecGEM predictions. • eciYali5-GEM improves metabolic engineering rational design.

Background Droplet-based microfluidics is becoming an increasingly attractive alternative to microtiter plate techniques for enzymatic high-throughput screening (HTS), especially for exploring large diversities with lower time and cost footprint. In this case, the assayed enzyme has to be accessible to the substrate within the water-in-oil droplet by being ideally extracellular or displayed at the cell surface. However, most of the enzymes screened to date are expressed within the cytoplasm of Escherichia coli cells, which means that a lysis step must take place inside the droplets for enzyme activity to be assayed. Here, we take advantage of the excellent secretion abilities of the yeast Yarrowia lipolytica to describe a highly efficient expression system particularly suitable for the droplet-based microfluidic HTS. Results Five hydrolytic genes from Aspergillus niger genome were chosen and the corresponding five Yarrowia lipolytica producing strains were constructed. Each enzyme (endo- β -1,4-xylanase B and C; 1,4- β -cellobiohydrolase A; endoglucanase A; aspartic protease) was successfully overexpressed and secreted in an active form in the crude supernatant. A droplet-based microfluidic HTS system was developed to (a) encapsulate single yeast cells; (b) grow yeast in droplets; (c) inject the relevant enzymatic substrate; (d) incubate droplets on chip; (e) detect enzymatic activity; and (f) sort droplets based on enzymatic activity. Combining this integrated microfluidic platform with gene expression in Y. lipolytica results in remarkably low variability in the enzymatic activity at the single cell level within a given monoclonal population (<5%). Xylanase, cellobiohydrolase and protease activities were successfully assayed using this system. We then used the system to screen for thermostable variants of endo- β -1,4-xylanase C in error-prone PCR libraries. Variants displaying higher thermostable xylanase activities compared to the wild-type were isolated (up to 4.7-fold improvement). Conclusions Yarrowia lipolytica was used to express fungal genes encoding hydrolytic enzymes of interest. We developed a successful droplet-based microfluidic platform for the high-throughput screening (10 5 strains/h) of Y. lipolytica based on enzyme secretion and activity. This approach provides highly efficient tools for the HTS of recombinant enzymatic activities. This should be extremely useful for discovering new biocatalysts via directed evolution or protein engineering approaches and should lead to major advances in microbial cell factory development.

Yarrowia lipolytica is an oleaginous yeast species that has attracted attention as a model organism for synthesis of single cell oil. Among over 50 isolates of Y. lipolytica identified, only a few of the strains have been studied extensively. Furthermore, 12 other yeast species were recently assigned to the Yarrowia clade, and most are not well characterized in terms of cell growth and lipid accumulation, especially in industrially relevant conditions. In the present study, we investigated biomass and lipid production by 57 yeast isolates, representing all 13 species in the Yarrowia clade, on a non-detoxified dilute acid-pretreated switchgrass hydrolysate under highly aerobic conditions. The objective was to compare yeast physiology during growth in an abundant, low-cost biomass feedstock and to expand diversity of genetically tractable, oleaginous yeasts available for lipid research. Screening of 45 Y. lipolytica isolates demonstrated considerable variation within the species in terms of lipid accumulation (min = 0.1 g/L; max = 5.1 g/L; mean = 2.3 g/L); three strains (NRRL YB-420, YB-419, and YB-392) were especially promising for cellulosic biomass conversion with average improvements of 43, 57, and 64%, respectively, in final lipid titer as compared to control strain W29. Subsequently, evaluation of strains from 13 distinct species in the Yarrowia clade identified Candida phangngensis PT1-17 as the top lipid producer with a maximum titer of 9.8 g/L lipid, which was over twofold higher than the second-best species in the clade ( Candida hollandica NRRL Y-48254). A small set of the most promising strains from the screenings was further characterized to evaluate inhibitor tolerance, lipid production kinetics, and fatty acid distribution. We expect that the results of this study will pave the way for new biotechnological applications involving previously overlooked and under-characterized strains within the Yarrowia clade.