Recording and Simulating Proton-Related Metabolism in Bacterial Cell Suspensions

• Published in: Frontiers in microbiology 2021-04, Vol.12, p.654065-654065
• Main Authors: Cypionka, Heribert, Reese, Jan-Ole
• Format: Article
• Language: English
• Subjects: ATP synthase activity; Desulfovibrio desulfuricans; dissimilatory nitrate reduction to ammonia; dissimilatory sulfate reduction; Michaelis-Menten kinetics; Microbiology; vectorial proton translocation
• ISSN: 1664-302X; 1664-302X
• DOI: 10.3389/fmicb.2021.654065

Proton release and uptake induced by metabolic activities were measured in non-buffered cell suspensions by means of a pH electrode. Recorded data were used for simulating substrate turnover rates by means of a new freeware app ( ). The program applies Michaelis-Menten or first-order kinetics to the metabolic processes and allows for parametrization of simultaneously ongoing processes. The simulation includes changes of the transmembrane ΔpH, membrane potential and ATP gains, and demonstrates the principles of chemiosmotic energy conservation. In our experiments, the versatile sulfate-reducing bacterium CSN (DSM 9104) was used as model organism. We analysed sulfate uptake by proton-sulfate symport, scalar alkalinization by sulfate reduction to sulfide, as well as nitrate and nitrite reduction to ammonia, and electron transport-coupled proton translocation. Two types of experiments were performed: In oxidant pulse experiments, cells were kept under H , and micromolar amounts of sulfate, nitrate or nitrite were added. For reductant pulse experiments, small amounts of H -saturated KCl were added to cells incubated under N with an excess of one of the above-mentioned electron acceptors. To study electron-transport driven proton translocation, the membrane potential was neutralized by addition of KSCN (100 mM). H /e ratios of electron-transport driven proton translocation were calculated by simulation with . This method gave lower but more realistic values than logarithmic extrapolation. We could verify the kinetic simulation parameters found with using series of increasing additions of the reactants. Our approach allows for studying a broad variety of proton-related metabolic activities at micromolar concentrations and time scales of seconds to minutes.