Liu Zhihao, Chen Minghao, Hu Jingmin, Wang Yonghong, Chen Yu
State Key Laboratory of Bioreactor Engineering, East China University of Science and Technology, Shanghai, China.
State Key Laboratory of Quantitative Synthetic Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.
mSystems. 2025 Jul 22;10(7):e0069025. doi: 10.1128/msystems.00690-25. Epub 2025 Jun 30.
Cells choose between alternative pathways in metabolic networks under diverse environmental conditions, but the principles governing the choice are insufficiently understood, especially in response to dynamically changing conditions. Here, we observed that the lactic acid bacterium displayed homolactic fermentation on glucose or trehalose as the sole carbon source but transitioned from homolactic to heterolactic fermentation during the hierarchical utilization of glucose and trehalose when growing on the mixture. We simulated the observation by dynamic minimization of reallocation of the proteome (dMORP) using an enzyme-constrained genome-scale metabolic model, which coincided with our omics data. Moreover, we evolved strains to co-utilize mixed carbon sources and repress the choice of heterolactic fermentation, and the dynamics after co-utilization of carbon sources were also captured by dMORP. Altogether, the findings suggest that upon environmental changes, bacteria tend to minimize proteome reallocation and accordingly adjust metabolism, and dMORP would be useful in simulating cellular dynamics.IMPORTANCERedundancy in metabolic networks empowers cells to choose between distinct metabolic strategies under changing environments. However, what drives the cellular choice remains poorly understood. We hypothesized that in response to rapid environmental changes, cells might minimize reallocation of the proteome and accordingly adjust metabolism. We found that this hypothesis could interpret a metabolic transition in the lactic acid bacterium during the hierarchical utilization of glucose and trehalose, which was validated using systems biology approaches. Furthermore, we presented a framework with the objective function of minimizing proteome allocation, allowing for the simulation and understanding of cellular responses to dynamic perturbations.
在不同的环境条件下,细胞会在代谢网络的替代途径之间进行选择,但支配这种选择的原理尚未得到充分理解,尤其是在应对动态变化的条件时。在这里,我们观察到,这种乳酸菌在以葡萄糖或海藻糖作为唯一碳源时进行同型乳酸发酵,但在以葡萄糖和海藻糖混合物生长时,在葡萄糖和海藻糖的分级利用过程中从同型乳酸发酵转变为异型乳酸发酵。我们使用酶约束的基因组规模代谢模型,通过动态最小化蛋白质组重新分配(dMORP)来模拟这一观察结果,这与我们的组学数据一致。此外,我们对菌株进行进化,使其能够共同利用混合碳源并抑制异型乳酸发酵的选择,并且碳源共同利用后的动态变化也被dMORP捕获。总之,这些发现表明,在环境变化时,细菌倾向于最小化蛋白质组重新分配并相应地调整代谢,并且dMORP在模拟细胞动态方面将是有用的。
重要性
代谢网络中的冗余使细胞能够在不断变化的环境中在不同的代谢策略之间进行选择。然而,驱动细胞选择的因素仍然知之甚少。我们假设,响应快速的环境变化,细胞可能会最小化蛋白质组的重新分配并相应地调整代谢。我们发现,这一假设可以解释乳酸菌在葡萄糖和海藻糖分级利用过程中的代谢转变,这一转变已通过系统生物学方法得到验证。此外,我们提出了一个以最小化蛋白质组分配为目标函数的框架,用于模拟和理解细胞对动态扰动的反应。