Revealing the dynamics and mechanisms of bacterial interactions in cheese production with metabolic modelling
LECOMTE, Maxime
Science et Technologie du Lait et de l'Oeuf [STLO]
Pleiade, from patterns to models in computational biodiversity and biotechnology [PLEIADE]
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Science et Technologie du Lait et de l'Oeuf [STLO]
Pleiade, from patterns to models in computational biodiversity and biotechnology [PLEIADE]
LECOMTE, Maxime
Science et Technologie du Lait et de l'Oeuf [STLO]
Pleiade, from patterns to models in computational biodiversity and biotechnology [PLEIADE]
Science et Technologie du Lait et de l'Oeuf [STLO]
Pleiade, from patterns to models in computational biodiversity and biotechnology [PLEIADE]
SHERMAN, David James
Pleiade, from patterns to models in computational biodiversity and biotechnology [PLEIADE]
Pleiade, from patterns to models in computational biodiversity and biotechnology [PLEIADE]
FRIOUX, Clémence
Pleiade, from patterns to models in computational biodiversity and biotechnology [PLEIADE]
Pleiade, from patterns to models in computational biodiversity and biotechnology [PLEIADE]
LABARTHE, Simon
Pleiade, from patterns to models in computational biodiversity and biotechnology [PLEIADE]
Biodiversité, Gènes & Communautés [BioGeCo]
< Leer menos
Pleiade, from patterns to models in computational biodiversity and biotechnology [PLEIADE]
Biodiversité, Gènes & Communautés [BioGeCo]
Idioma
en
Document de travail - Pré-publication
Resumen en inglés
Cheese organoleptic properties result from complex metabolic processes occurring in microbial communities. A deeper understanding of such mechanisms makes it possible to improve both industrial production processes and ...Leer más >
Cheese organoleptic properties result from complex metabolic processes occurring in microbial communities. A deeper understanding of such mechanisms makes it possible to improve both industrial production processes and end-product quality through the design of microbial consortia. In this work, we caracterise the metabolism of a three-species community consisting of Lactococcus lactis, Lactobacillus plantarum and Propionibacterium freudenreichii during a seven-week cheese production process. Using genome-scale metabolic models and omics data integration, we modeled and calibrated individual dynamics using monoculture experiments, and coupled these models to capture the metabolism of the community. This digital twin accurately predicted the dynamics of the community, enlightening the contribution of each microbial species to organoleptic compound production. Further metabolic exploration raised additional possible interactions between the bacterial species. This work provides a methodological framework for the prediction of community-wide metabolism and highlights the added-value of dynamic metabolic modeling for the comprehension of fermented food processes.< Leer menos
Palabras clave en inglés
Systems biology
Fermentation
Metabolic modeling
Microbial community
Cheese
Dynamics
Digital twin
Flux Balance Analysis
Proyecto ANR
Computationel models of crop plant microbial biodiversity - ANR-22-PEAE-0011
Orígen
Importado de HalCentros de investigación