Dynamic metagenome-scale metabolic modeling of a yogurt bacterial community.
fermentation
genome-scale metabolic model
lactic acid bacteria
metagenomics
proteome allocation
Journal
Biotechnology and bioengineering
ISSN: 1097-0290
Titre abrégé: Biotechnol Bioeng
Pays: United States
ID NLM: 7502021
Informations de publication
Date de publication:
08 2023
08 2023
Historique:
revised:
17
05
2023
received:
24
01
2023
accepted:
29
06
2023
medline:
31
7
2023
pubmed:
10
7
2023
entrez:
10
7
2023
Statut:
ppublish
Résumé
Genome-scale metabolic models and flux balance analysis (FBA) have been extensively used for modeling and designing bacterial fermentation. However, FBA-based metabolic models that accurately simulate the dynamics of coculture are still rare, especially for lactic acid bacteria used in yogurt fermentation. To investigate metabolic interactions in yogurt starter culture of Streptococcus thermophilus and Lactobacillus delbrueckii subsp. bulgaricus, this study built a dynamic metagenome-scale metabolic model which integrated constrained proteome allocation. The accuracy of the model was evaluated by comparing predicted bacterial growth, consumption of lactose and production of lactic acid with reference experimental data. The model was then used to predict the impact of different initial bacterial inoculation ratios on acidification. The dynamic simulation demonstrated the mutual dependence of S. thermophilus and L. d. bulgaricus during the yogurt fermentation process. As the first dynamic metabolic model of the yogurt bacterial community, it provided a foundation for the computer-aided process design and control of the production of fermented dairy products.
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
2186-2198Informations de copyright
© 2023 The Authors. Biotechnology and Bioengineering published by Wiley Periodicals LLC.
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