Cited by 71Microbial Metabolic Engineering and BioproductionAlgal biology and biofuel productionGene Regulatory Network Analysis

Identification of a metabolic network structure representative of arthrospira (spirulina) platensis metabolism

Cogne, Guillaume, Gros, J.‐B., Dussap, C.‐G.·2003·Biotechnology and Bioengineering

Abstract

A comprehensive network structure for the autotrophic growth of Arthrospira platensis is proposed. The metabolic network was built up with 121 reactions and 134 metabolites including biomass synthesis, production of a growth-associated exopolysaccharide, and energy aspects. The model supports the existence of a metabolic shunt of PEP to pyruvate through PEP carboxylase, NAD(+)-dependent malate dehydrogenase and malic enzyme to convert NADH,H(+) into NADPH,H(+). A limit in Arthrospira growth metabolism due to NADH,H(+) balancing is evidenced, explaining why the maximal light-dependent mass yield of the growth-associated exopolysaccharide was 0.51 kg EPS kg(-1) biomass, consistent with experimental results.

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Crossref · 10.1002/bit.10808

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  • The exopolysaccharide mass fraction predicted by the LTIP approach agrees with experimental observations and metabolic analysis of Limnospira indica PCC8005 growth under different incident light fluxes.

    “The mass fraction of exopolysaccharide that is predicted using the LTIP approach (Figure 5b) is consistent with experimental observations and metabolic analysis of Limnospira indica PCC 8005 growth for different light incident fluxes conditions (Cogne et al. 2003 a ).”
  • Oxygen production measured from gas pressure was shown to be consistent with the stoichiometry of growth.

    “Cogne et al (2003 c ) have shown that the oxygen production measured by this way is consistent with the stoichiometry of the growth.”
  • This confirms the predictability of the model, which was already applied for various ground photobioreactors.

    “This confirms the predictability of the model, which was already applied for various ground photobioreactors (Cogne et al., 2003 b , Cornet et al., 2009, Ifrim et al., 2014, Dauchet et al., 2016).”

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Authors
Cogne, G., Gros, J. ‐., & Dussap, C. ‐.
Affiliations
Université Blaise Pascal (FR)
Corresponding author
Cogne, Guillaume
Venue
Biotechnology and Bioengineering
Publisher
Wiley
Published
2003-10-07
Volume
84
Issue
6
Pages
667-676
ISSN
  • 0006-3592 (ISSN-L)
  • 1097-0290
OpenAlex
W2020105605
Cited by
71
References
3
Citations by year
2026: 2 · 2025: 1 · 2024: 4 · 2023: 1 · 2022: 5 · 2021: 9 · 2020: 3 · 2019: 3 · 2018: 4 · 2017: 4 · 2016: 4 · 2015: 4 · 2014: 2 · 2013: 2 · 2012: 5
FWCI
0.23
Type
journal article
Language
en
Open access
closed
Locations
  • Biotechnology and Bioengineering (publishedVersion)
  • PubMed (publishedVersion)
  • HAL (submittedVersion)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Microbial Metabolic Engineering and Bioproduction
  • Physical Sciences › Energy › Renewable Energy, Sustainability and the Environment › Algal biology and biofuel production
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gene Regulatory Network Analysis
Keywords
Spirulina platensis, Spirulina, metabolic network model, autotrophic growth, exopolysaccharide production, phosphoenolpyruvate carboxylase, malic enzyme, malate dehydrogenase, biomass synthesis
MeSH terms
Cyanobacteria, Cell Division, Computer Simulation, Energy Metabolism, Models, Biological, Multienzyme Complexes, Polysaccharides, Signal Transduction, Photobiology

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