Cannon William R, King Ethan, Huening Katherine A, North Justin A
Computational Mathematics Group, Pacific Northwest National Laboratory, Richland, Washington, United States of America.
Department of Mathematics, University of California, Riverside, California, United States of America.
PLoS Comput Biol. 2025 Jun 10;21(6):e1013015. doi: 10.1371/journal.pcbi.1013015. eCollection 2025 Jun.
During photoheterotrophic growth on organic substrates, purple nonsulfur photosynthetic bacteria like Rhodospirillum rubrum can acquire electrons by multiple means, including oxidation of organic substrates, oxidation of inorganic electron donors (e.g., H2), and by reverse electron flow from the photosynthetic electron transport chain. These electrons are stored as reduced electron-carrying cofactors (e.g., NAD(P)H and ferredoxin). The overall ratio of oxidized to reduced cofactors (e.g., NAD(P)+:NAD(P)H), or 'redox poise', is difficult to understand or predict, as are the cellular processes for dissipating these reducing equivalents. Using physics-based models that capture mass action kinetics consistent with the thermodynamics of reactions and pathways, a range of redox conditions for heterophototrophic growth are evaluated, from conditions in which the NADP+/NADPH levels approach thermodynamic equilibrium to conditions in which the NADP+/NADPH ratio is far above the typical physiological values. Modeling predictions together with experimental measurements indicate that the redox poise of the cell results in large-scale changes in the activity of biosynthetic pathways and, thus, changes in cell macromolecule levels (DNA, RNA, proteins, and fatty acids). Furthermore, modeling predictions indicate that during phototrophic growth, reverse electron flow from the quinone pool is a minor contributor to the production of reduced cofactors (e.g., NAD(P)H) compared to other oxidative processes (H2 and carbon substrate oxidation). Instead, the quinone pool primarily operates to aid ATP production. The high level of ATP, in turn, drives reduction processes even when NADPH levels are relatively low compared to NADP+ by coupling ATP hydrolysis to the reductive processes. The model, in agreement with experimental measurements of macromolecule ratios of cells growing on different carbon substrates, indicates that the dynamics of nucleotide versus lipid and protein production is likely a significant mechanism of balancing oxidation and reduction in the cell.
在以有机底物进行光异养生长过程中,像深红红螺菌这样的紫色非硫光合细菌可以通过多种方式获取电子,包括有机底物的氧化、无机电子供体(如H2)的氧化以及光合电子传递链的逆向电子流。这些电子以还原态的电子载体辅因子(如NAD(P)H和铁氧化还原蛋白)的形式储存。氧化型与还原型辅因子的总体比例(如NAD(P)+:NAD(P)H),即“氧化还原平衡”,很难理解或预测,细胞中消耗这些还原当量的过程也是如此。使用基于物理的模型来捕捉与反应和途径的热力学相一致的质量作用动力学,评估了一系列光异养生长的氧化还原条件,从NADP+/NADPH水平接近热力学平衡的条件到NADP+/NADPH比例远高于典型生理值的条件。建模预测与实验测量结果表明,细胞的氧化还原平衡会导致生物合成途径活性的大规模变化,进而导致细胞大分子水平(DNA、RNA、蛋白质和脂肪酸)的变化。此外,建模预测表明,在光合生长过程中,与其他氧化过程(H2和碳底物氧化)相比,醌池的逆向电子流对还原型辅因子(如NAD(P)H)产生的贡献较小。相反,醌池主要用于辅助ATP的产生。即使与NADP+相比NADPH水平相对较低,高水平的ATP也会通过将ATP水解与还原过程偶联来驱动还原过程。该模型与在不同碳底物上生长的细胞大分子比例的实验测量结果一致,表明核苷酸与脂质和蛋白质产生的动态变化可能是细胞中平衡氧化和还原的重要机制。