Metabolic Flux Analysis of Lipid Biosynthesis in the Yeast Yarrowia lipolytica Using 13C-Labled Glucose and Gas Chromatography-Mass Spectrometry

PLoS One. 2016 Jul 25;11(7):e0159187. doi: 10.1371/journal.pone.0159187. eCollection 2016.

Abstract

The oleaginous yeast Yarrowia lipolytica has considerable potential for producing single cell oil, which can be converted to biodiesel, a sustainable alternative to fossil fuels. However, extensive fundamental and engineering efforts must be carried out before commercialized production become cost-effective. Therefore, in this study, metabolic flux analysis of Y. lipolytica was performed using 13C-labeled glucose as a sole carbon source in nitrogen sufficient and insufficient media. The nitrogen limited medium inhibited cell growth while promoting lipid accumulation (from 8.7% of their biomass to 14.3%). Metabolic flux analysis showed that flux through the pentose phosphate pathway was not significantly regulated by nitrogen concentration, suggesting that NADPH generation is not the limiting factor for lipid accumulation in Y. lipolytica. Furthermore, metabolic flux through malic enzyme was undetectable, confirming its non-regulatory role in lipid accumulation in this yeast. Nitrogen limitation significantly increased flux through ATP:citrate lyase (ACL), implying that ACL plays a key role in providing acetyl-CoA for lipid accumulation in Y. lipolytica.

MeSH terms

  • Algorithms
  • Biomass
  • Carbon Isotopes
  • Fatty Acids / metabolism
  • Fermentation
  • Gas Chromatography-Mass Spectrometry*
  • Glucose / metabolism*
  • Isotope Labeling
  • Lipid Metabolism*
  • Lipids / biosynthesis*
  • Metabolic Flux Analysis*
  • Metabolic Networks and Pathways
  • Models, Biological
  • Nitrogen / metabolism
  • Yarrowia / metabolism*

Substances

  • Carbon Isotopes
  • Fatty Acids
  • Lipids
  • Glucose
  • Nitrogen

Grants and funding

This work was supported by the National Natural Science Foundation of China (31271812), the National High Technology Research and Development Program of China (863 Program 2012AA02 2105C), Starting Grant from Institut Merieux (Strategic Merieux Research Grants), and Institut Merieux Fellowship 2012. This work was also partially supported by Chinese Minister of Science and Technology (2012CB725201), National Science Foundation of China (31471254) and Tsinghua University Initiative (20110002120055).