Dataset Information

Gaspari2019 - iEG158_mpn genome-scale metabolic model of Mycoplasma pneumoniae strain M129

ABSTRACT: Genome-scale constraint-based model of Mycoplasma pneumoniae strain M129 metabolism and membrane formation, including detailed lipid pathways.

SUBMITTER: Erika Gaspari

PROVIDER: MODEL1912060001 | BioModels | 2025-10-24

REPOSITORIES: BioModels

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Publications

Model-driven design allows growth of Mycoplasma pneumoniae on serum-free media.

Gaspari Erika E Malachowski Antoni A Garcia-Morales Luis L Burgos Raul R Serrano Luis L Martins Dos Santos Vitor A P VAP Suarez-Diez Maria M

NPJ systems biology and applications 20201023 1

Mycoplasma pneumoniae is a slow-growing, human pathogen that causes atypical pneumonia. Because it lacks a cell wall, many antibiotics are ineffective. Due to its reduced genome and dearth of many biosynthetic pathways, this fastidious bacterium depends on rich, undefined medium for growth, which makes large-scale cultivation challenging and expensive. To understand factors limiting growth, we developed a genome-scale, constraint-based model of M. pneumoniae called iEG158_mpn to describe the met ...[more]

PMID: 33097709

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Project description:Wodke2013 - Genome-scale constraint-based model of M.pneumoniae energy metabolism (iJW145) A new genome-scale metabolic reconstruction of M.pneumoniae is used in combination with external metabolite measurement and protein abundance measurements to quantitatively explore the energy metabolism of this genome-reduce human pathogen. This model is described in the article: Dissecting the energy metabolism in Mycoplasma pneumoniae through genome-scale metabolic modeling. Wodke JA, Puchałka J, Lluch-Senar M, Marcos J, Yus E, Godinho M, Gutiérrez-Gallego R, dos Santos VA, Serrano L, Klipp E, Maier T. Mol Syst Biol. 2013;9:653. 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. This model is hosted on BioModels Database and identified by: MODEL1301290000 . To cite BioModels Database, please use: BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models . To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide. Please refer to CC0 Public Domain Dedication for more information.

Dataset Information

Gaspari2019 - iEG158_mpn genome-scale metabolic model of Mycoplasma pneumoniae strain M129

Publications

Model-driven design allows growth of Mycoplasma pneumoniae on serum-free media.

Similar Datasets

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