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

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

Abstract Background 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 engineer...

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Bibliographic Details
Main Authors: Minsuk Kim, Beom Gi Park, Eun-Jung Kim, Joonwon Kim, Byung-Gee Kim
Format: Article
Language:English
Published: BMC 2019-07-01
Series:Biotechnology for Biofuels
Subjects:
Genome-scale modeling
Systems biology
Metabolic engineering
Yarrowia lipolytica
eMOMA
Lipid
Online Access:http://link.springer.com/article/10.1186/s13068-019-1518-4

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http://link.springer.com/article/10.1186/s13068-019-1518-4

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