Genome-scale model of Rhodotorula toruloides metabolism.

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ID: 44277
2019
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Abstract
The basidiomycete red yeast Rhodotorula toruloides is a promising platform organism for production of biooils. We present rhto-GEM, the first genome-scale model (GEM) of R. toruloides metabolism, that was largely reconstructed using RAVEN toolbox. The model includes 852 genes, 2731 reactions, and 2277 metabolites, while lipid metabolism is described using the SLIMEr formalism allowing direct integration of lipid class and acyl chain experimental distribution data. The simulation results confirmed that the R. toruloides model provides valid growth predictions on glucose, xylose and glycerol, while prediction of genetic engineering targets to increase production of linolenic acid, triacylglycerols and carotenoids identified genes - some of which have previously been engineered to successfully increase production. This renders rtho-GEM valuable for future studies to improve the production of other oleochemicals of industrial relevance including value-added fatty acids and carotenoids, in addition to facilitate system-wide omics-data analysis in R. toruloides. Expanding the portfolio of GEMs for lipid accumulating fungi contributes to both understanding of metabolic mechanisms of the oleaginous phenotype but also uncover particularities of the lipid production machinery in R. toruloides. This article is protected by copyright. All rights reserved.
Reference Key
tiukova2019genomescalebiotechnology Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Tiukova, Ievgeniia A;Prigent, Sylvain;Nielsen, Jens;Sandgren, Mats;Kerkhoven, Eduard J;
Journal Biotechnology and bioengineering
Year 2019
DOI
10.1002/bit.27162
URL
Keywords
metabolism yeast rhodotorula toruloides genome-scale model

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