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Wendisch, V. F.

Publications and source records attributed to Wendisch, V. F..

2 recordsLinked to original sources

Growth response and recovery of Corynebacterium glutamicum colonies on single-cell level upon defined pH stress pulses

Bacteria respond to pH changes in their environment via pH homeostasis to keep the intracellular pH as constant as possible within a small range. A change of the intracellular pH value influences e.g., the enzyme activity, protein stability, solubility of trace elements and the proton motive force. Here, the species Corynebacterium glutamicum has been chosen as a neutralophilic and moderately alkali-tolerant bacterium capable of maintaining an internal pH of 7.5 {+/-} 0.5 in environments with an external pH between 5.5 and 9. In the recent years, the phenotypic response of C. glutamicum to pH changes has been systematically investigated at the bulk population level. A detailed understanding of the C. glutamicum cell responding to defined short-term pH perturbations/ pulses is missing. In this study, dynamic microfluidic single-cell cultivation (dMSCC) was applied to analyse the physiological growth response of C. glutamicum upon precise pH stress pulses at a single-cell level. Analysis of the growth behaviour at the colony level by dMSCC exposed to single pH stress pulses (pH = 4, 5, 10, 11) revealed a decrease in the viability with increasing stress duration. Colony regrowth was possible after increasing lag phases when stress durations were increased from 5 min to 9 h for all tested pH values. Furthermore, the single-cell analysis revealed heterogeneous regrowth of cells after pH stress, which can be distinguished into two distinct behaviours firstly, cells continue to grow without interruption after the pH stress, and secondly, some cells rest for several hours after the pH stress before they start to grow again after this lag phase. This study provides the first insights into the single-cell response to acidic and alkaline pH stress adaptation of C. glutamicum.

microbiology↗

Charting the metabolic landscape of the facultative methylotroph Bacillus methanolicus

Bacillus methanolicus MGA3 is a thermotolerant and relatively fast-growing methylotroph able to secrete large quantities of glutamate and lysine. These natural characteristics make B. methanolicus a good candidate to become a new industrial chassis organism, especially in a methanol-based economy. This has motivated a number of omics studies of B. methanolicus at the genome, transcript, protein and metabolic levels. Intriguingly, the only substrates known to support B. methanolicus growth as sole source of carbon and energy are methanol, mannitol, and to a lesser extent glucose and arabitol. We hypothesized that comparing methylotrophic and non-methylotrophic metabolic states at the flux level would yield new insights into MGA3 metabolism. 13C metabolic flux analysis (13C-MFA) is a powerful computational method to estimate carbon flows from substrate to biomass (i.e. the in vivo reaction rates of the central metabolic pathways) from experimental labeling data. In this study, we designed and performed a 13C-MFA of the facultative methylotroph B. methanolicus MGA3 growing on methanol, mannitol and arabitol to compare the associated metabolic states. The results obtained validate previous findings on the methylotrophy of B. methanolicus, allowed us to characterize the assimilation pathway of one of the studied carbon sources, and provide a better overall understanding of this strain. IMPORTANCEMethanol is cheap, easy to transport and can be produced both from renewable and fossil resources without mobilizing arable lands. As such, it is regarded as a potential carbon source to transition toward a greener industrial chemistry. Metabolic engineering of bacteria and yeast able to efficiently consume methanol is expected to provide cell factories that will transform methanol into higher-value chemicals in the so-called methanol economy. Toward that goal, the study of natural methylotrophs such as B. methanolicus is critical to understand the origin of their efficient methylotrophy. This knowledge will then be leveraged to transform such natural strains into new cell factories, or to design methylotrophic capability in other strains already used by the industry.

systems biology↗