Rapid selection of glucose-utilizing variants of the polyhydroxyalkanoate producer Ralstonia eutropha H16 by incubation with high substrate levels.

AIMS: The application of Ralstonia eutropha H16 for producing polyhydroxyalkanoates as bioplastics is limited by the incapability of the bacterium to utilize glucose as a growth substrate. This study aims in characterizing glucose-utilizing strains that arose after incubation with high glucose levels, in comparison with previously published mutants, generated either by mutagenesis or by metabolic engineering. METHODS AND RESULTS: Cultivations on solid and liquid media showed that the application of high substrate concentrations rapidly induced a glucose-positive phenotype. The time span until the onset of growth and the frequency of glucose-utilizing colonies were correlated to the initial glucose concentration. All mutants exhibited elevated activities of glucose-6-phosphate dehydrogenase. The glucose-positive phenotype was abolished after deleting genes for the N-acetylglucosamine phosphotransferase system. CONCLUSIONS: A procedure is provided for selecting glucose-utilizing R. eutropha H16 in an unprecedented short time period and without any mutagenic treatment. An altered N-acetylglucosamine phosphotransferase system appears to be a common motif in all glucose-utilizing mutants examined so far. SIGNIFICANCE AND IMPACT OF THE STUDY: The correlation of the applied glucose concentration and the appearance of glucose-utilizing mutants poses questions about the randomness or the specificity of adaptive mutations in general. Furthermore, glucose-adapted strains of R. eutropha H16 could be useful for the production of bioplastics.

Modular modeling of cellular systems with ProMoT/Diva.

MOTIVATION: Need for software to setup and analyze complex mathematical models for cellular systems in a modular way, that also integrates the experimental environment of the cells. RESULTS: A computer framework is described which allows the building of modularly structured models using an abstract, modular and general modeling methodology. With this methodology, reusable modeling entities are introduced which lead to the development of a modeling library within the modeling tool ProMot. The simulation environment Diva is used for numerical analysis and parameter identification of the models. The simulation environment provides a number of tools and algorithms to simulate and analyze complex biochemical networks. The described tools are the first steps towards an integrated computer-based modeling, simulation and visualization environment Availability: Available on request to the authors. The software itself is free for scientific purposes but requires commercial libraries. SUPPLEMENTARY INFORMATION: http://www.mpi-magdeburg.mpg.de/projects/promot