Details

Autor(en) / Beteiligte

• Correa, Sandra M.
• Alseekh, Saleh
• Atehortúa, Lucía
• Brotman, Yariv
• Ríos‐Estepa, Rigoberto
• Fernie, Alisdair R.
• Nikoloski, Zoran

Titel

Model‐assisted identification of metabolic engineering strategies for Jatropha curcas lipid pathways

Ist Teil von

• The Plant journal : for cell and molecular biology, 2020-09, Vol.104 (1), p.76-95

Ort / Verlag

England: Blackwell Publishing Ltd

Erscheinungsjahr

2020

Link zum Volltext

Quelle

Wiley Online Library Journals Frontfile Complete

Beschreibungen/Notizen

• SUMMARY Efficient approaches to increase plant lipid production are necessary to meet current industrial demands for this important resource. While Jatropha curcas cell culture can be used for in vitro lipid production, scaling up the system for industrial applications requires an understanding of how growth conditions affect lipid metabolism and yield. Here we present a bottom‐up metabolic reconstruction of J. curcas supported with labeling experiments and biomass characterization under three growth conditions. We show that the metabolic model can accurately predict growth and distribution of fluxes in cell cultures and use these findings to pinpoint energy expenditures that affect lipid biosynthesis and metabolism. In addition, by using constraint‐based modeling approaches we identify network reactions whose joint manipulation optimizes lipid production. The proposed model and computational analyses provide a stepping stone for future rational optimization of other agronomically relevant traits in J. curcas. Significance Statement We present a bottom‐up metabolic reconstruction for Jatropha curcas cells refined with condition‐specific experimental data. By using constraint‐based modeling approaches the metabolic model provides accurate quantitative and qualitative predictions of growth and of intracellular fluxes in lipid metabolism, respectively. We also identified reactions whose joint manipulation optimizes lipid production without sacrificing biomass, contributing knowledge about the operation of Jatropha lipid pathways and their relation to other metabolism, providing a stepping stone for future rational optimization of other agronomically relevant traits in Jatropha.