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

Correa, S. M., Alseekh, S., Atehortúa, L., Brotman, Y., Ríos-Estepa, R., Fernie, A. R., et al. (in press). Model-assisted identification of metabolic engineering strategies for Jatropha curcas lipid pathways. The Plant Journal, 104(1), 76-95. doi:10.1111/tpj.14906.

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Item Permalink: http://hdl.handle.net/21.11116/0000-0007-5AAE-1 Version Permalink: http://hdl.handle.net/21.11116/0000-0007-5AAF-0
Genre: Journal Article

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 Creators:
Correa, S. M.1, Author              
Alseekh, S.2, Author              
Atehortúa, Lucía3, Author
Brotman, Y.1, Author              
Ríos-Estepa, Rigoberto3, Author
Fernie, A. R.2, Author              
Nikoloski, Z.4, Author              
Affiliations:
1Genetics of Metabolic Traits, Cooperative Research Groups, Max Planck Institute of Molecular Plant Physiology, Max Planck Society, ou_2497694              
2Central Metabolism, Department Willmitzer, Max Planck Institute of Molecular Plant Physiology, Max Planck Society, ou_1753339              
3External Organizations, ou_persistent22              
4Mathematical Modelling and Systems Biology - Nikoloski, Cooperative Research Groups, Max Planck Institute of Molecular Plant Physiology, Max Planck Society, ou_1753310              

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Free keywords: Jatropha curcas, lipid biosynthesis and metabolism, metabolic reconstruction, constrained-based analysis, cell cultures, metabolic engineering
 Abstract: Summary Efficient approaches to increase plant lipid production are necessary to meet contemporary 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 understanding of how growth conditions affect lipid metabolism and yield. Here we present a bottom-up metabolic reconstruction of Jatropha 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 Jatropha curcas.

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Language(s): eng - English
 Dates: 2020
 Publication Status: Accepted / In Press
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1111/tpj.14906
BibTex Citekey: doi:10.1111/tpj.14906
 Degree: -

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Title: The Plant Journal
  Other : Plant J.
Source Genre: Journal
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Publ. Info: Oxford : Blackwell Science
Pages: - Volume / Issue: 104 (1) Sequence Number: - Start / End Page: 76 - 95 Identifier: ISSN: 0960-7412
CoNE: https://pure.mpg.de/cone/journals/resource/954925579095_1