Department of Biological and Chemical Engineering, Aarhus University, Aarhus, Denmark.
Environ Microbiol. 2023 Oct;25(10):2032-2040. doi: 10.1111/1462-2920.16429. Epub 2023 May 20.
Acetogens share the capacity to convert H and CO into acetate for energy conservation (ATP synthesis). This reaction is attractive for applications, such as gas fermentation and microbial electrosynthesis. Different H partial pressures prevail in these distinctive applications (low concentrations during microbial electrosynthesis [<40 Pa] vs. high concentrations with gas fermentation [>9%]). Strain selection thus requires understanding of how different acetogens perform under different H partial pressures. Here, we determined the H threshold (H partial pressure at which acetogenesis halts) for eight different acetogenic strains under comparable conditions. We found a three orders of magnitude difference between the lowest and highest H threshold (6 ± 2 Pa for Sporomusa ovata vs. 1990 ± 67 Pa for Clostridium autoethanogenum), while Acetobacterium strains had intermediate H thresholds. We used these H thresholds to estimate ATP gains, which ranged from 0.16 to 1.01 mol ATP per mol acetate (S. ovata vs. C. autoethanogenum). The experimental H thresholds thus suggest strong differences in the bioenergetics of acetogenic strains and possibly also in their growth yields and kinetics. We conclude that no acetogen is equal and that a good understanding of their differences is essential to select the most optimal strain for different biotechnological applications.
乙酰生成菌具有将 H 和 CO 转化为乙酸盐以进行能量保存(ATP 合成)的能力。该反应在气体发酵和微生物电合成等应用中具有吸引力。在这些不同的应用中,H 分压不同(微生物电合成时浓度较低[<40 Pa],而气体发酵时浓度较高[>9%])。因此,菌株选择需要了解不同的乙酰生成菌在不同的 H 分压下如何表现。在这里,我们在可比条件下确定了八种不同乙酰生成菌的 H 阈值(乙酰生成停止时的 H 分压)。我们发现最低和最高 H 阈值之间有三个数量级的差异(Sporomusa ovata 为 6 ± 2 Pa,Clostridium autoethanogenum 为 1990 ± 67 Pa),而乙酰杆菌属菌株的 H 阈值居中。我们使用这些 H 阈值来估计 ATP 收益,范围从 0.16 到 1.01 mol ATP 每摩尔乙酸盐(S. ovata 与 C. autoethanogenum)。因此,实验 H 阈值表明不同乙酰生成菌的生物能量学存在很大差异,可能还有它们的生长产率和动力学。我们得出的结论是,没有一种乙酰生成菌是相同的,对它们之间的差异有很好的了解对于为不同的生物技术应用选择最优化的菌株是至关重要的。