Genome-scale metabolic modeling underscores the potential of Cutaneotrichosporon oleaginosus ATCC 20509 as a cell factory for biofuel production

Abstract

Background Cutaneotrichosporon oleaginosus ATCC 20509 is a fast-growing oleaginous basidiomycete yeast that is able to grow in a wide range of low-cost carbon sources including crude glycerol, a byproduct of biodiesel production. When glycerol is used as a carbon source, this yeast can accumulate more than 50% lipids (w/w) with high concentrations of mono-unsaturated fatty acids. Results To increase our understanding of this yeast and to provide a knowledge base for further industrial use, a FAIR re-annotated genome was used to build a genome-scale, constraint-based metabolic model containing 1553 reactions involving 1373 metabolites in 11 compartments. A new description of the biomass synthesis reaction was introduced to account for massive lipid accumulation in conditions with high carbon-to-nitrogen (C/N) ratio in the media. This condition-specific biomass objective function is shown to better predict conditions with high lipid accumulation using glucose, fructose, sucrose, xylose, and glycerol as sole carbon source. Conclusion Contributing to the economic viability of biodiesel as renewable fuel, C. oleaginosus ATCC 20509 can effectively convert crude glycerol waste streams in lipids as a potential bioenergy source. Performance simulations are essential to identify optimal production conditions and to develop and fine tune a cost-effective production process. Our model suggests ATP-citrate lyase as a possible target to further improve lipid production.

Repressed Central Carbon Metabolism and Its Effect on Related Metabolic Pathways in Cefoperazone/Sulbactam-Resistant Pseudomonas aeruginosa

“…The central carbon metabolism is the core component of cell metabolism to convert nutrients into metabolic precursors for biomass and energy to sustain life ( Wang et al, 2013 ; Zhang Z. et al, 2020 ; Pham et al, 2021 ). Thus, the present study not only examines the decreased glycolysis, the PPP, and the P cycle of the central carbon metabolism, but also explores the effect on its related metabolic pathways, biosynthesis of fatty acids, glutamate metabolism, and electron transport chain and riboflavin metabolism, where biosynthesis of fatty acids, glutamate metabolism, and electron transport chain are fueled by the P cycle.…”

Tailoring and optimizing fatty acid production by oleaginous yeasts through the systematic exploration of their physiological fitness

“…In the experiments performed for RSM, we used glycerol as a carbon source as this is e ciently utilized by C. oleaginosus and Y. lipolytica [34,35] and urea as a nitrogen source as it provides higher biomass yields compared to the ammonium salts [26]. RSM is one of the most preferred methods to optimize operational conditions and medium composition in biotechnology [36,37].…”

Exploring Yeast Diversity to Produce Lipid-Based Biofuels from Agro-Forestry and Industrial Organic Residues

“…Other in silico approaches are available to facilitate the development of superior yeasts. Genome-scale metabolic models available for several oleaginous yeasts such as L. starkeyi [ 210 , 211 ], R. toruloides [ 212 ], T. oleaginosus ( Cutaneotrichosporon oleaginosus ) [ 213 ], and Y. lipolytica [ 214 ], constitute useful tools to guide the manipulate of yeast metabolism [ 215 , 216 ]. Another advantage of in silico approaches is the identification of targets that may be relevant for increasing stress tolerance.…”