Combining metabolic flux analysis with proteomics to shed light on the metabolic flexibility: the case of Desulfovibrio vulgaris Hildenborough

Front Microbiol. 2024 Feb 23:15:1336360. doi: 10.3389/fmicb.2024.1336360. eCollection 2024.

Abstract

Introduction: Desulfovibrio vulgaris 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 D. vulgaris 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 D. vulgaris appeared to be not easily adaptable to various environmental conditions.

Methods: To lift off these limitations, here we constructed a novel transparent and robust metabolic model to explain D. vulgaris bioenergetics by combining whole-cell proteomic analysis with modeling approaches (Flux Balance Analysis).

Results: The iDvu71 model showed over 0.95 correlation with experimental data. Further simulations allowed a detailed description of D. vulgaris 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 D. vulgaris energy metabolism.

Discussion: In particular, the impact on the hydrogen/formate balance and biomass synthesis is discussed. Overall, this study provides a novel insight into D. vulgaris metabolic flexibility.

Keywords: Desulfovibrio vulgaris Hildenborough; flux balance analysis; formate metabolism; hydrogen metabolism; metabolic flexibility; metabolic model; proteomic; sulfate respiration.

Grants and funding

The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This work was supported by National Research Agency (ANR, France) under the grant ANR-19-CE05-0017 and also received support from the French government under the France 2030 investment plan, as part of the Excellence Initiative of Aix-Marseille University—A*MIDEX. MR and LD are grateful to the Institute of Microbiology, Bioenergies, and Biotechnologies (IM2B, AMX-19-IET-006) for funding support (AO-IM2B-NE-2023-08-ROGER and AO-IM2B-CD-2021- DELECOURT).