Abstract
AbstractIn this study we explored the adaptability and robustness of glycolysis and pyruvate metabolism of Mycoplasma pneumoniae (MPN). We used a dual approach, we analysed metabolomics data collected for a large number of OE and KO mutants and perturbation samples. Furthermore, we trained a dynamic model of central carbon metabolism and tested the model’s capacity to predict these mutants and perturbation samples as well as identify key controlling factors in central carbon metabolism. Our analysis of metabolite data as well as our model analysis indicate MPN metabolism is inherently robust against perturbations due to its network structure. Two key control hubs of central carbon metabolism were identified.
Publisher
Cold Spring Harbor Laboratory