Dataset Information

Recombinant ?-Carotene Production by Yarrowia lipolytica - Assessing the Potential of Micro-Scale Fermentation Analysis in Cell Factory Design and Bioreaction Optimization.

ABSTRACT: The production of ?-carotene has become increasingly interesting within the biotechnological industry due to a rising demand for safer and more natural colorants, nutritional supplements, and antioxidants. A recent study has described the potential of Yarrowia lipolytica as a ?-carotene-producing cell factory, reporting the highest titer of recombinant ?-carotene produced to date. Finding the best conditions to maximize production and scaling up the process to full scale, a costly and time-consuming process, it is often a bottleneck in biotechnology. In this work, we explored the benefits of using micro-fermentation equipment to significantly reduce the time spent on design and optimization of bioreaction conditions, especially in the early stages of process development. In this proof-of-concept study, a ?-carotene producing Y. lipolytica strain was tested in micro-fermentations partly to assess the robustness of the cell factory design and partly to perform media optimization. The medium optimization led us to an improvement of up to 50% in the yield of ?-carotene production in the best of the conditions. Overall, the micro-fermentation system had a high degree of reliability in all tests.

SUBMITTER: Jacobsen IH

PROVIDER: S-EPMC7031159 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature

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Recombinant β-Carotene Production by <i>Yarrowia lipolytica</i> - Assessing the Potential of Micro-Scale Fermentation Analysis in Cell Factory Design and Bioreaction Optimization.

Jacobsen Irene Hjorth IH Ledesma-Amaro Rodrigo R Martinez José Luis JL

Frontiers in bioengineering and biotechnology 20200213

The production of β-carotene has become increasingly interesting within the biotechnological industry due to a rising demand for safer and more natural colorants, nutritional supplements, and antioxidants. A recent study has described the potential of <i>Yarrowia lipolytica</i> as a β-carotene-producing cell factory, reporting the highest titer of recombinant β-carotene produced to date. Finding the best conditions to maximize production and scaling up the process to full scale, a costly and tim ...[more]

PMID: 32117917

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Project description:BACKGROUND:Yarrowia lipolytica is a non-conventional yeast that is extensively investigated for its ability to excrete citrate or to accumulate large amounts of storage lipids, which is of great significance for single cell oil production. Both traits are thus of interest for basic research as well as for biotechnological applications but they typically occur simultaneously thus lowering the respective yields. Therefore, engineering of strains with high lipid content relies on novel concepts such as computational simulation to better understand the two competing processes and to eliminate citrate excretion. RESULTS:Using a genome-scale model (GSM) of baker's yeast as a scaffold, we reconstructed the metabolic network of Y. lipolytica and optimized it for use in flux balance analysis (FBA), with the aim to simulate growth and lipid production phases of this yeast. We validated our model and found the predictions of the growth behavior of Y. lipolytica in excellent agreement with experimental data. Based on these data, we successfully designed a fed-batch strategy to avoid citrate excretion during the lipid production phase. Further analysis of the network suggested that the oxygen demand of Y. lipolytica is reduced upon induction of lipid synthesis. According to this finding we hypothesized that a reduced aeration rate might induce lipid accumulation. This prediction was indeed confirmed experimentally. In a fermentation combining these two strategies lipid content of the biomass was increased by 80%, and lipid yield was improved more than four-fold, compared to standard conditions. CONCLUSIONS:Genome scale network reconstructions provide a powerful tool to predict the effects of genetic modifications and the metabolic response to environmental conditions. The high accuracy and the predictive value of a newly reconstructed GSM of Y. lipolytica to optimize growth conditions for lipid accumulation are demonstrated. Based on these findings, further strategies for engineering Y. lipolytica towards higher efficiency in single cell oil production are discussed.

Project description:β-Carotene is a provitamin A precursor and an important antioxidant that is used widely in the aquaculture, food, cosmetic, and pharmaceutical industries. Oleaginous Yarrowia lipolytica has been demonstrated as a competitive producer microorganism for the production of hydrophobic β-carotene through rational engineering strategies. However, the limited understanding of the complexity of the metabolic network between carotenoid biosynthesis and other cellular processes has hampered further advancement. Genome-scale mutagenesis and high-throughput screening of mutagenesis libraries have been extensively employed in gene mining or in the identification of key targets associated with particular phenotypes. In this study, we developed a fluorescence-activated cell-sorting approach for the effective high-throughput screening of high-β-carotene-producing strains. Using this approach, millions of mutants were screened rapidly, and new gene targets involved in lipid metabolism, sterol metabolism, signal transduction, and stress response were identified. The disruption of the genes affecting fatty acid oxidation, lipid composition, and sterol transcriptional regulation (4CL-8, GCS, and YIsterTF) increased β-carotene significantly. By engineering these targets in a high-β-carotene production, a strain that produced 9.4 g/L β-carotene was constructed. Here, we used a flow cytometry approach to improve screening efficiency and eliminate the interference of intermediate metabolites. The targets obtained in this study can be used in studies focusing on metabolic engineering in the future for improving carotenoid production. IMPORTANCE β-Carotene is a high-value-added product that is widely used in the aquaculture, food, cosmetic, and pharmaceutical industries. In our previous study, Yarrowia lipolytica has been engineered extensively to produce β-carotene. To further improve its production, high-throughput screening and the identification of new beneficial gene targets are required. Herein, we developed a fluorescence-activated cell-sorting approach for the effective high-throughput screening of high-β-carotene-producing strains. Using this approach, millions of mutants were screened rapidly, and new gene targets involved in lipid metabolism, sterol metabolism, signal transduction, and stress response were identified. The disruption of the genes affecting fatty acid oxidation, lipid composition, and sterol transcriptional regulation (4CL-8, GCS, and YIsterTF) increased β-carotene significantly. By engineering these targets in a high-β-carotene production, a strain that produced 9.4 g/L β-carotene was constructed.

Project description:BACKGROUND:Recently, there have been several attempts to produce long-chain dicarboxylic acids (DCAs) in various microbial hosts. Of these, Yarrowia lipolytica has great potential due to its oleaginous characteristics and unique ability to utilize hydrophobic substrates. However, Y. lipolytica should be further engineered to make it more competitive: the current approaches are mostly intuitive and cumbersome, thus limiting its industrial application. RESULTS:In this study, we proposed model-guided metabolic engineering strategies for enhanced production of DCAs in Y. lipolytica. At the outset, we reconstructed genome-scale metabolic model (GSMM) of Y. lipolytica (iYLI647) by substantially expanding the previous models. Subsequently, the model was validated using three sets of published culture experiment data. It was finally exploited to identify genetic engineering targets for overexpression, knockout, and cofactor modification by applying several in silico strain design methods, which potentially give rise to high yield production of the industrially relevant long-chain DCAs, e.g., dodecanedioic acid (DDDA). The resultant targets include (1) malate dehydrogenase and malic enzyme genes and (2) glutamate dehydrogenase gene, in silico overexpression of which generated additional NADPH required for fatty acid synthesis, leading to the increased DDDA fluxes by 48% and 22% higher, respectively, compared to wild-type. We further investigated the effect of supplying branched-chain amino acids on the acetyl-CoA turn-over rate which is key metabolite for fatty acid synthesis, suggesting their significance for production of DDDA in Y. lipolytica. CONCLUSION:In silico model-based strain design strategies allowed us to identify several metabolic engineering targets for overproducing DCAs in lipid accumulating yeast, Y. lipolytica. Thus, the current study can provide a methodological framework that is applicable to other oleaginous yeasts for value-added biochemical production.

Dataset Information

Recombinant ?-Carotene Production by Yarrowia lipolytica - Assessing the Potential of Micro-Scale Fermentation Analysis in Cell Factory Design and Bioreaction Optimization.

Publications

Recombinant β-Carotene Production by <i>Yarrowia lipolytica</i> - Assessing the Potential of Micro-Scale Fermentation Analysis in Cell Factory Design and Bioreaction Optimization.

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