A kinetic metabolic study of lipid production in Chlorella protothecoides under heterotrophic condition.


Journal

Microbial cell factories
ISSN: 1475-2859
Titre abrégé: Microb Cell Fact
Pays: England
ID NLM: 101139812

Informations de publication

Date de publication:
28 Jun 2019
Historique:
received: 09 04 2019
accepted: 19 06 2019
entrez: 30 6 2019
pubmed: 30 6 2019
medline: 18 10 2019
Statut: epublish

Résumé

Microalgae have been proposed as potential platform to produce lipid-derived products, such as biofuels. Knowledge on the intracellular carbon flow distribution may identify key metabolic processes during lipid synthesis thus refining culture/genetic strategies to maximize cell lipid productivity. A kinetic metabolic model simulating cell metabolic behavior and lipid production was first applied in the microalgae platform Chlorella protothecoides under heterotrophic condition. It combines both physiology and flux information in a kinetic approach. Cell nutrition, growth, lipid production and almost 30 metabolic intermediates covering central carbon metabolism were included and simulated. Model simulations were shown to adequately agree with experimental data, which is suggesting that the proposed model copes with Chlorella protothecoides cells' biology. The dynamic metabolic flux analysis using the model showed a reversible starch flux from accumulation to decomposing when glucose reached depletion, while net lipid flux shows a quasi-constant rate. The sensitive flux parameters on starch and lipid metabolism suggested that starch synthesis is the major competing pathway that affects lipid accumulation in C. protothecoides. Flux analysis also demonstrated that high lipid yield under heterotrophic condition is accompanied with high lipid flux and low TCA activity. Meanwhile, the dynamic flux distribution also suggests a relatively constant ratio of glucose distributed to biomass, lipid, starch, nucleotides as well as pentose phosphate pathway. The model described not only experimental data, but also unraveled intracellular carbon flow distribution and identify key metabolic processes during lipid synthesis. Most of the metabolic kinetics also showed statistical significance for metabolic mechanism. Therefore, this study unravels the mechanisms of the glucose impact on the dynamic carbon flux distribution, thus improving our understanding of the links between carbon fluxes and lipid metabolism in C. protothecoides.

Sections du résumé

BACKGROUND BACKGROUND
Microalgae have been proposed as potential platform to produce lipid-derived products, such as biofuels. Knowledge on the intracellular carbon flow distribution may identify key metabolic processes during lipid synthesis thus refining culture/genetic strategies to maximize cell lipid productivity. A kinetic metabolic model simulating cell metabolic behavior and lipid production was first applied in the microalgae platform Chlorella protothecoides under heterotrophic condition. It combines both physiology and flux information in a kinetic approach. Cell nutrition, growth, lipid production and almost 30 metabolic intermediates covering central carbon metabolism were included and simulated.
RESULTS RESULTS
Model simulations were shown to adequately agree with experimental data, which is suggesting that the proposed model copes with Chlorella protothecoides cells' biology. The dynamic metabolic flux analysis using the model showed a reversible starch flux from accumulation to decomposing when glucose reached depletion, while net lipid flux shows a quasi-constant rate. The sensitive flux parameters on starch and lipid metabolism suggested that starch synthesis is the major competing pathway that affects lipid accumulation in C. protothecoides. Flux analysis also demonstrated that high lipid yield under heterotrophic condition is accompanied with high lipid flux and low TCA activity. Meanwhile, the dynamic flux distribution also suggests a relatively constant ratio of glucose distributed to biomass, lipid, starch, nucleotides as well as pentose phosphate pathway.
CONCLUSION CONCLUSIONS
The model described not only experimental data, but also unraveled intracellular carbon flow distribution and identify key metabolic processes during lipid synthesis. Most of the metabolic kinetics also showed statistical significance for metabolic mechanism. Therefore, this study unravels the mechanisms of the glucose impact on the dynamic carbon flux distribution, thus improving our understanding of the links between carbon fluxes and lipid metabolism in C. protothecoides.

Identifiants

pubmed: 31253148
doi: 10.1186/s12934-019-1163-4
pii: 10.1186/s12934-019-1163-4
pmc: PMC6598345
doi:

Substances chimiques

Lipids 0
Carbon 7440-44-0
Starch 9005-25-8
Glucose IY9XDZ35W2

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

113

Subventions

Organisme : Shandong Provincial Natural Science Foundation, China
ID : ZR2019BC099
Organisme : Fonds Québécois de la Recherche sur la Nature et les Technologies
ID : RS-171172
Organisme : Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada
ID : 093865-RGPIN2014-04329
Organisme : China Postdoctoral Science Foundation
ID : 2019M650167

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Auteurs

Xiaojie Ren (X)

Colin Ratledge Center for Microbial Lipids, School of Agriculture Engineering and Food Science, Shandong University of Technology, Zibo, China.
Research Laboratory in Applied Metabolic Engineering, Department of Chemical Engineering, École Polytechnique de Montreal, Centre-ville Station, P.O. Box 6079, Montreal, H3C 3A7, QC, Canada.

Jean-Sébastien Deschênes (JS)

Université du Québec à Rimouski, 310 allée des Ursulines, Rimouski, QC, G5L 3A1, Canada.

Réjean Tremblay (R)

Université du Québec à Rimouski, 310 allée des Ursulines, Rimouski, QC, G5L 3A1, Canada.

Sabine Peres (S)

LRI, Université Paris-Sud, CNRS, Université Paris-Saclay, 91405, Orsay, France.
MaIAGE, INRA, Université Paris-Saclay, 78350, Jouy-en-Josas, France.

Mario Jolicoeur (M)

Research Laboratory in Applied Metabolic Engineering, Department of Chemical Engineering, École Polytechnique de Montreal, Centre-ville Station, P.O. Box 6079, Montreal, H3C 3A7, QC, Canada. mario.jolicoeur@polymtl.ca.

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Classifications MeSH