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Jagtap, S. S.

Publications and source records attributed to Jagtap, S. S..

2 recordsLinked to original sources

Metabolic engineering of Yarrowia lipolytica for higher fatty alcohol production

Fatty alcohols are versatile chemicals with growing demand across a broad range of industries, yet conventional production methods pose environmental challenges. Microbial biosynthesis offers a promising alternative, if hosts can be engineered to achieve high product titers. The industrially relevant oleaginous yeast Yarrowia lipolytica is well suited to this challenge because of its natural capacity for lipid metabolism. Here, we engineered Y. lipolytica W29 for fatty alcohol production by disrupting pathways involved in lipogenesis and fatty alcohol oxidation, identifying fatty alcohol oxidation as a major constraint on product accumulation. Initial engineering yielded fatty alcohol titers of 2.5 g/L from 40 g/L glucose. Subsequent optimization of media supplements and nutrient concentrations, combined with deletion of the citrate transporter CEX1 and addition of 1% Tergitol to the extractive culture medium, increased titers to 10.9 g/L in shake flasks with 80 g/L glucose and a carbon-to-nitrogen ratio of 60. Scaling the process to fed-batch bioreactor cultivation further increased titers to 19.4 g/L. These results demonstrate that combining metabolic engineering with medium and process optimization enables high-titer fatty alcohol production in Y. lipolytica.

synthetic biology↗

A comprehensive genome-scale model for Rhodosporidium toruloides IFO0880 accounting for functional genomics and phenotypic data

BackgroundRhodosporidium toruloides is a basidiomycetes yeast that can accumulate large amount of lipids and natively produce carotenoids. To better assess this non-model yeasts metabolic capabilities, we reconstruct a genome-scale model of R. toruloides IFO0880s metabolic network (iRhto1108) using recent functional genomics and phenotypic data in literature or generated herein.\n\nResultsThe model iRhto1108 accounts for 2,203 reactions, 1,985 metabolites and 1,108 genes. In this work, we integrate and supplement the current knowledge with in-house generated biomass composition and experimental measurements pertaining to the organisms metabolic capabilities. Phenotype-genotype relationship predictions were improved through manual curation of gene-protein-reaction rules for 543 reactions and validations with gene essentiality data leading to correct recapitulations of 84.5% of gene essentiality data (sensitivity of 94.3% and specificity of 53.8%). Organism-specific macromolecular composition and ATP maintenance requirements were experimentally measured for two separate growth conditions: (i) carbon and (ii) nitrogen limitations. Overall, iRhto1108 reproduced R. toruloidess utilization capabilities for 18 alternate substrates, matched measured wild-type growth yield, and recapitulated the viability of 772 out of 819 deletion mutants. As a demonstration to the models fidelity in guiding engineering interventions, the OptForce procedure was applied on iRhto1108 for the overproduction of triacylglycerol. Suggested interventions recapitulated many of the previously successfully implemented genetic modifications and put forth a few new ones.\n\nConclusioniRhto1108 offers a highly curated model for a non-model yeast supported by multiple layers of experimental data that can be used to inform genetic interventions.

systems biology↗