ArticlePloS one2014
DRUM: a new framework for metabolic modeling under non-balanced growth. Application to the carbon metabolism of unicellular microalgae.
Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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18 citing papers in PubMed, 77 citations in OpenAlex.
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- Microalgae and cyanobacteria modeling in water resource recovery facilities: A critical review.Water research X · 2019Review
- A diurnal flux balance model of Synechocystis sp. PCC 6803 metabolism.PLoS computational biology · 2019Article
- Addressing Global Ruminant Agricultural Challenges Through Understanding the Rumen Microbiome: Past, Present, and Future.Frontiers in microbiology · 2018Review
- Advances in metabolic modeling of oleaginous microalgae.Biotechnology for biofuels · 2018Review
- Mathematical modelling of microbes: metabolism, gene expression and growth.Journal of the Royal Society, Interface · 2017Review
- Dynamic metabolic modeling of heterotrophic and mixotrophic microalgal growth on fermentative wastes.PLoS computational biology · 2017Article
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- Dynamic flux balance modeling to increase the production of high-value compounds in green microalgae.Biotechnology for biofuels · 2016Article
- Toward Multiscale Models of Cyanobacterial Growth: A Modular Approach.Frontiers in bioengineering and biotechnology · 2016Review
- Metabolic Engineering of Microalgal Based Biofuel Production: Prospects and Challenges.Frontiers in microbiology · 2016Review
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4 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Metabolic modeling is a powerful tool to understand, predict and optimize bioprocesses, particularly when they imply intracellular molecules of interest. Unfortunately, the use of metabolic models for time varying metabolic fluxes is hampered by the lack of experimental data required to define and calibrate the kinetic reaction rates of the metabolic pathways. For this reason, metabolic models are often used under the balanced growth hypothesis. However, for some processes such as the photoautotrophic metabolism of microalgae, the balanced-growth assumption appears to be unreasonable because of the synchronization of their circadian cycle on the daily light. Yet, understanding microalgae metabolism is necessary to optimize the production yield of bioprocesses based on this microorganism, as for example production of third-generation biofuels. In this paper, we propose DRUM, a new dynamic metabolic modeling framework that handles the non-balanced growth condition and hence accumulation of intracellular metabolites. The first stage of the approach consists in splitting the metabolic network into sub-networks describing reactions which are spatially close, and which are assumed to satisfy balanced growth condition. The left metabolites interconnecting the sub-networks behave dynamically. Then, thanks to Elementary Flux Mode analysis, each sub-network is reduced to macroscopic reactions, for which simple kinetics are assumed. Finally, an Ordinary Differential Equation system is obtained to describe substrate consumption, biomass production, products excretion and accumulation of some internal metabolites. DRUM was applied to the accumulation of lipids and carbohydrates of the microalgae Tisochrysis lutea under day/night cycles. The resulting model describes accurately experimental data obtained in day/night conditions. It efficiently predicts the accumulation and consumption of lipids and carbohydrates.
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