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
Biodiversité, Gènes & Communautés [BioGeCo]
Pleiade, from patterns to models in computational biodiversity and biotechnology [PLEIADE]
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Biodiversité, Gènes & Communautés [BioGeCo]
Pleiade, from patterns to models in computational biodiversity and biotechnology [PLEIADE]
Langue
en
Article de revue
Ce document a été publié dans
Metabolic Engineering. 2024-05, vol. 83, p. 24 - 38
Résumé en anglais
Cheese taste and flavour 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 ...Lire la suite >
Cheese taste and flavour 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 model accurately predicts the dynamics of the community, enlightening the contribution of each microbial species to organoleptic compound production. Further metabolic exploration revealed 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 ofdynamic metabolic modeling for the comprehension of fermented food processes< Réduire
Mots clés en anglais
Systems biology
Fermentation
Metabolic modeling
Microbial community analysis
Cheese microbial ecology
Dynamics
Project ANR
Computationel models of crop plant microbial biodiversity - ANR-22-PEAE-0011
IDEX UGA - ANR-15-IDEX-0002
IDEX UGA - ANR-15-IDEX-0002
Origine
Importé de halUnités de recherche