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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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Correa, S. M.1, Autor           
Alseekh, S.2, Autor           
Atehortúa, Lucía3, Autor
Brotman, Y.1, Autor           
Ríos-Estepa, Rigoberto3, Autor
Fernie, A. R.2, Autor           
Nikoloski, Z.4, Autor           
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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Schlagwörter: Jatropha curcas, lipid biosynthesis and metabolism, metabolic reconstruction, constrained-based analysis, cell cultures, metabolic engineering
 Zusammenfassung: 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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Sprache(n): eng - English
 Datum: 2020
 Publikationsstatus: Angenommen
 Seiten: -
 Ort, Verlag, Ausgabe: -
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 Art der Begutachtung: -
 Identifikatoren: DOI: 10.1111/tpj.14906
BibTex Citekey: doi:10.1111/tpj.14906
 Art des Abschluß: -

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Titel: The Plant Journal
  Andere : Plant J.
Genre der Quelle: Zeitschrift
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Ort, Verlag, Ausgabe: Oxford : Blackwell Science
Seiten: - Band / Heft: 104 (1) Artikelnummer: - Start- / Endseite: 76 - 95 Identifikator: ISSN: 0960-7412
CoNE: https://pure.mpg.de/cone/journals/resource/954925579095_1