Marbehan Xavier, Roger Magali, Fournier Frantz, Infossi Pascale, Guedon Emmanuel, Delecourt Louis, Lebrun Régine, Giudici-Orticoni Marie-Thérèse, Delaunay Stéphane
LRGP, Université de Lorraine, CNRS, Nancy, France.
BIP-UMR 7281, Laboratoire de Bioénergétique et Ingénierie des Protéines, Aix-Marseille Université, CNRS, Marseille, France.
Front Microbiol. 2024 Feb 23;15:1336360. doi: 10.3389/fmicb.2024.1336360. eCollection 2024.
Hildenborough is a gram-negative anaerobic bacterium belonging to the sulfate-reducing bacteria that exhibits highly versatile metabolism. By switching from one energy mode to another depending on nutrients availability in the environments" it plays a central role in shaping ecosystems. Despite intensive efforts to study energy metabolism at the genomic, biochemical and ecological level, bioenergetics in this microorganism remain far from being fully understood. Alternatively, metabolic modeling is a powerful tool to understand bioenergetics. However, all the current models for appeared to be not easily adaptable to various environmental conditions.
To lift off these limitations, here we constructed a novel transparent and robust metabolic model to explain bioenergetics by combining whole-cell proteomic analysis with modeling approaches (Flux Balance Analysis).
The iDvu71 model showed over 0.95 correlation with experimental data. Further simulations allowed a detailed description of metabolism in various conditions of growth. Altogether, the simulations run in this study highlighted the sulfate-to-lactate consumption ratio as a pivotal factor in energy metabolism.
In particular, the impact on the hydrogen/formate balance and biomass synthesis is discussed. Overall, this study provides a novel insight into metabolic flexibility.
希尔登伯勒菌是一种革兰氏阴性厌氧菌,属于硫酸盐还原菌,具有高度多样的代谢方式。它通过根据环境中营养物质的可用性从一种能量模式转换到另一种能量模式,在塑造生态系统中发挥着核心作用。尽管在基因组、生化和生态层面上对能量代谢进行了深入研究,但这种微生物的生物能量学仍远未被完全理解。另外,代谢建模是理解生物能量学的有力工具。然而,目前所有关于它的模型似乎都不容易适应各种环境条件。
为了克服这些局限性,我们在此构建了一个新颖的、透明且稳健的代谢模型,通过将全细胞蛋白质组分析与建模方法(通量平衡分析)相结合来解释生物能量学。
iDvu71模型与实验数据的相关性超过0.95。进一步的模拟使得能够详细描述其在各种生长条件下的代谢情况。总之,本研究中进行的模拟突出了硫酸盐与乳酸的消耗比率是其能量代谢中的关键因素。
特别讨论了其对氢/甲酸平衡和生物量合成的影响。总体而言,本研究为其代谢灵活性提供了新的见解。