Design and mathematical optimization of multi-strain ecosystems in winery
Autor: | El Aida, Sahar, Harle, Olivier, Mouret, Jean-Roch, Rapaport, Alain, Nidelet, Thibault |
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Přispěvatelé: | Sciences Pour l'Oenologie (SPO), Université Montpellier 1 (UM1)-Institut de Recherche pour le Développement (IRD [Nouvelle-Calédonie])-Institut National de la Recherche Agronomique (INRA)-Université de Montpellier (UM)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro), Mathématiques, Informatique et STatistique pour l'Environnement et l'Agronomie (MISTEA), Institut National de la Recherche Agronomique (INRA)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Science et Technologie du Lait et de l'Oeuf (STLO), Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-AGROCAMPUS OUEST, Université Montpellier 1 (UM1)-Institut National de la Recherche Agronomique (INRA)-Université de Montpellier (UM)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), AGROCAMPUS OUEST, Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Nidelet, Thibault |
Jazyk: | angličtina |
Rok vydání: | 2019 |
Předmět: |
[SDV.BIO]Life Sciences [q-bio]/Biotechnology
ecological engineering microbiology [MATH.MATH-DS]Mathematics [math]/Dynamical Systems [math.DS] [MATH.MATH-DS] Mathematics [math]/Dynamical Systems [math.DS] food and beverages [MATH.MATH-OC] Mathematics [math]/Optimization and Control [math.OC] non-saccharomyces species [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation [SDV.BIO] Life Sciences [q-bio]/Biotechnology [SDV.AEN] Life Sciences [q-bio]/Food and Nutrition Oenology yeast-yeast interactions population dynamics [INFO.INFO-MO] Computer Science [cs]/Modeling and Simulation [MATH.MATH-OC]Mathematics [math]/Optimization and Control [math.OC] wine fermentation [SDV.AEN]Life Sciences [q-bio]/Food and Nutrition |
Zdroj: | MicrobiOccitanie 2019 MicrobiOccitanie 2019, Feb 2019, Montpellier, France |
Popis: | International audience; For food processing, fermentation by microorganisms allows food preservation and production of several fermented products, among the most consumed are bread, cheese, beer and wine. In all these anthropic environments, microbes form communities where individual microorganisms interact in various ways such as competition, predation, commensalism or mutualism that may have a tremendous effect on the final product quality. Exploiting these interactions by ecological engineering (by choosing the good partners in the good proportions) appears to be a promising strategy for improving fermented food. However, it demands a profound understanding of the interaction's mechanisms and an exponential number of experiments to assess all possible microbes combination. To meet these challenges in winery, we choose to guide our ecological designs by a mathematical model simulating the microbial and metabolic dynamics of the oenological fermentation. We perform a deep phenotyping of fermentation driven by different yeast-yeast combination that gives us the necessary information to build a mathematical model (of ordinaries differential equations) that simulate the dynamic of mixed cultures from isolated cultures data. With this model, we test different inoculation protocols (which strain/species, in what proportion and at which time) and evaluate their performance for maximizing different functional traits. |
Databáze: | OpenAIRE |
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