(587bd) Metabolic Interaction Analysis Between Chlorella Vulgaris and Pseudomonas Aeruginosa for Phenol Degradation Based On Genomic Scale Modeling

Currently, microorganism consortiums constitute an interesting approach aimed to mineralize recalcitrant compounds. These interactions can be understood from different models rational frames such as symbiosis. Nevertheless the symbiosis can take place in different arrangements or stratagems. Metabolic interactions could cause a synergic effect on a specific phenotype, however the underpinnings of the interactions are yet to be resolved as systems obey complexity so the response cannot be predicted form the analysis of each element of the metabolic network. The genome scale model is a current mathematical representation from the metabolism’s reconstruction, which gives more detailed information about its physiologic and biologic activity and may use computational analysis to evaluate its behavior when environment conditions are disturbed. It has been recently proposed that alga-bacteria consortiums could enhance the biodegradability capacity of aromatic compounds, specifically the consortium Chorella vulgaris - Pseudomonas aeruginosa, has been targeted as a interesting candidate to probe this hypothesis. Then, this consortium is modeled using lineal programming (LP) to elucidate the systems response in terms of phenol degradation rate upon O₂/CO₂ ratio conditions.

The lineal programming of the bacteria and microalgae is made based on the metabolic network reconstruction from the annotated genome (experimental) and reported biochemical reactions from databases as KEGG. Reactions are arranged in a stoichometric coeficients’s matrix, where the reactions are converted in number quantities.

From this matrix, we established constrains of the programming, restricting the exchange metabolites (substrates) different to phenol and varying O2 and phenol concentrations for each one of the microorganisms. The metabolic coupling to the ensemble the system microalgae-bacteria, is based on the key points which are carbon source from bacteria to microalgae and oxygen from microalgae to bacteria, moreover the exchange key metabolites.