A dynamic network analysis of the physiological state of foodborne pathogens: application to Escherichia coli during osmotic stress and comparison with Salmonella Typhimurium

Aline Métris 1 Susan George 1 Delphine Ropers 2 Jozsef Baranyi 1
2 IBIS - Modeling, simulation, measurement, and control of bacterial regulatory networks
LAPM - Laboratoire Adaptation et pathogénie des micro-organismes [Grenoble], Inria Grenoble - Rhône-Alpes, Institut Jean Roget
Abstract : To characterise the physiological state of cells during adaptation to osmotic stress, we decompose the dynamic regulatory network of E. coli into subgraphs. We then compare the results of E. coli and Salmonella. Beside the sigma factor associated with stress, the response involves global regulators that modify nucleoid conformation which has been shown to be different in the two bacteria. In Salmonella, some genes involved in osmotic stress are also linked to virulence regulation. We conclude that decomposition of regulatory networks into subgraphs as a function of environmental conditions may be a useful representation of the physiological state of bacteria.
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Communication dans un congrès
9th International Conference on Predictive Modelling in Food, 2015, Rio de Janeiro, Brazil. Procedia Food Science
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https://hal.inria.fr/hal-01251307
Contributeur : Delphine Ropers <>
Soumis le : mardi 5 janvier 2016 - 22:47:57
Dernière modification le : mercredi 11 avril 2018 - 01:54:15

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  • HAL Id : hal-01251307, version 1

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Aline Métris, Susan George, Delphine Ropers, Jozsef Baranyi. A dynamic network analysis of the physiological state of foodborne pathogens: application to Escherichia coli during osmotic stress and comparison with Salmonella Typhimurium. 9th International Conference on Predictive Modelling in Food, 2015, Rio de Janeiro, Brazil. Procedia Food Science. 〈hal-01251307〉

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