In silico identification of metabolic engineering strategies for improved lipid production in Yarrowia lipolytica by genome-scale metabolic modeling

Biotechnology for Biofuels
Minsuk KimByung-Gee Kim

Abstract

Yarrowia lipolytica, an oleaginous yeast, is a promising platform strain for production of biofuels and oleochemicals as it can accumulate a high level of lipids in response to nitrogen limitation. Accordingly, many metabolic engineering efforts have been made to develop engineered strains of Y. lipolytica with higher lipid yields. Genome-scale model of metabolism (GEM) is a powerful tool for identifying novel genetic designs for metabolic engineering. Several GEMs for Y. lipolytica have recently been developed; however, not many applications of the GEMs have been reported for actual metabolic engineering of Y. lipolytica. The major obstacle impeding the application of Y. lipolytica GEMs is the lack of proper methods for predicting phenotypes of the cells in the nitrogen-limited condition, or more specifically in the stationary phase of a batch culture. In this study, we showed that environmental version of minimization of metabolic adjustment (eMOMA) can be used for predicting metabolic flux distribution of Y. lipolytica under the nitrogen-limited condition and identifying metabolic engineering strategies to improve lipid production in Y. lipolytica. Several well-characterized overexpression targets, such as diglyceride acyltr...Continue Reading

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Citations

Dec 29, 2020·Current Opinion in Biotechnology·Yiming ZhangZihe Liu
Feb 25, 2021·Biotechnology and Bioengineering·Vetle SimensenEivind Almaas
Feb 26, 2021·Biotechnology Advances·Atrayee ChattopadhyayMrinal K Maiti
Jun 15, 2021·Critical Reviews in Food Science and Nutrition·Yu-Lei JiaXiao-Man Sun
Jun 16, 2021·Biotechnology and Bioengineering·Naghmeh Poorinmohammad, Eduard J Kerkhoven
Jul 26, 2021·Trends in Biotechnology·Hongzhong LuJens Nielsen

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Methods Mentioned

BETA
phosphate exchange
gene knockdown
GAM

Software Mentioned

pFBA
MATLAB
ATUM gRNA
tSOT
OptGeneKnock
APGC
MOMA
eMOMA
CPLEXINT
COBRA Toolbox

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