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Dissecting the energy metabolism in Mycoplasma pneumoniae through genome-scale metabolic modeling.
Wodke, Judith A H Puchałka, Jacek Lluch-Senar, Maria Marcos, Josep Yus, Eva Godinho, Miguel Gutiérrez-Gallego, Ricardo dos Santos, Vitor A P Martins Serrano, Luis Klipp, Edda
Wodke, Judith A H
Puchałka, Jacek
Lluch-Senar, Maria
Marcos, Josep
Yus, Eva
Godinho, Miguel
Gutiérrez-Gallego, Ricardo
dos Santos, Vitor A P Martins
Serrano, Luis
Klipp, Edda
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Abstract
Mycoplasma pneumoniae, a threatening pathogen with a minimal genome, is a model organism for bacterial systems biology for which substantial experimental information is available. With the goal of understanding the complex interactions underlying its metabolism, we analyzed and characterized the metabolic network of M. pneumoniae in great detail, integrating data from different omics analyses under a range of conditions into a constraint-based model backbone. Iterating model predictions, hypothesis generation, experimental testing, and model refinement, we accurately curated the network and quantitatively explored the energy metabolism. In contrast to other bacteria, M. pneumoniae uses most of its energy for maintenance tasks instead of growth. We show that in highly linear networks the prediction of flux distributions for different growth times allows analysis of time-dependent changes, albeit using a static model. By performing an in silico knock-out study as well as analyzing flux distributions in single and double mutant phenotypes, we demonstrated that the model accurately represents the metabolism of M. pneumoniae. The experimentally validated model provides a solid basis for understanding its metabolic regulatory mechanisms.
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Dissecting the energy metabolism in Mycoplasma pneumoniae through genome-scale metabolic modeling. 2013, 9:653 Mol. Syst. Biol.
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en
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1744-4292
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Archived with thanks to Molecular systems biology