School of Food and Health, Beijing Technology and Business University, Beijing, China.
Department of Engineering Science, University of Oxford, Oxford, UK.
Biotechnol Bioeng. 2023 Aug;120(8):2186-2198. doi: 10.1002/bit.28492. Epub 2023 Jul 10.
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.
基于基因组规模的代谢模型和通量平衡分析（FBA）已被广泛用于细菌发酵的建模和设计。然而，能够准确模拟共培养动力学的基于 FBA 的代谢模型仍然很少，特别是对于用于酸奶发酵的乳酸菌。为了研究嗜热链球菌和德氏乳杆菌保加利亚亚种酸奶发酵剂培养物中的代谢相互作用，本研究构建了一个整合了约束蛋白组分配的动态宏基因组规模代谢模型。通过将预测的细菌生长、乳糖消耗和乳酸生成与参考实验数据进行比较，评估了模型的准确性。然后，该模型被用于预测不同初始细菌接种比例对酸化的影响。动态模拟表明，在酸奶发酵过程中，嗜热链球菌和德氏乳杆菌保加利亚亚种相互依赖。作为酸奶细菌群落的第一个动态代谢模型，它为发酵乳制品生产的计算机辅助过程设计和控制提供了基础。
