Salmonella enterica serovar Typhimurium (S. Typhimurium) is a facultative pathogen that uses complex mechanisms to invade and proliferate within mammalian host cells. To investigate possible contributions of metabolic processes to virulence in S. Typhimurium grown under conditions known to induce expression of virulence genes, we used a metabolomics-driven systems biology approach coupled with genome-scale modeling. First, we identified distinct metabolite profiles associated with bacteria grown in either rich or virulence-inducing media and report the most comprehensive coverage of the S. Typhimurium metabolome to date. Second, we applied an omics-informed genome-scale modeling analysis of the functional consequences of adaptive alterations in S. Typhimurium metabolism during growth under our conditions. Modeling efforts highlighted a decreased cellular capability to both produce and utilize intracellular amino acids during stationary phase culture in virulence conditions, despite significant abundance increases for these molecules as observed by our metabolomics measurements. Furthermore, analyses of omics data in the context of the metabolic model indicated rewiring of the metabolic network to support pathways associated with virulence. For example, cellular concentrations of polyamines were perturbed, as well as the predicted capacity for secretion and uptake.
%0 Journal Article
%1 Kim2013Salmonella
%A Kim, Young-Mo M.
%A Schmidt, Brian J.
%A Kidwai, Afshan S.
%A Jones, Marcus B.
%A Deatherage Kaiser, Brooke L.
%A Brewer, Heather M.
%A Mitchell, Hugh D.
%A Palsson, Bernhard O.
%A McDermott, Jason E.
%A Heffron, Fred
%A Smith, Richard D.
%A Peterson, Scott N.
%A Ansong, Charles
%A Hyduke, Daniel R.
%A Metz, Thomas O.
%A Adkins, Joshua N.
%D 2013
%J Molecular bioSystems
%K disease metabolic-networks
%N 6
%P 1522--1534
%R 10.1039/c3mb25598k
%T Salmonella modulates metabolism during growth under conditions that induce expression of virulence genes.
%U http://dx.doi.org/10.1039/c3mb25598k
%V 9
%X Salmonella enterica serovar Typhimurium (S. Typhimurium) is a facultative pathogen that uses complex mechanisms to invade and proliferate within mammalian host cells. To investigate possible contributions of metabolic processes to virulence in S. Typhimurium grown under conditions known to induce expression of virulence genes, we used a metabolomics-driven systems biology approach coupled with genome-scale modeling. First, we identified distinct metabolite profiles associated with bacteria grown in either rich or virulence-inducing media and report the most comprehensive coverage of the S. Typhimurium metabolome to date. Second, we applied an omics-informed genome-scale modeling analysis of the functional consequences of adaptive alterations in S. Typhimurium metabolism during growth under our conditions. Modeling efforts highlighted a decreased cellular capability to both produce and utilize intracellular amino acids during stationary phase culture in virulence conditions, despite significant abundance increases for these molecules as observed by our metabolomics measurements. Furthermore, analyses of omics data in the context of the metabolic model indicated rewiring of the metabolic network to support pathways associated with virulence. For example, cellular concentrations of polyamines were perturbed, as well as the predicted capacity for secretion and uptake.
@article{Kim2013Salmonella,
abstract = {
Salmonella enterica serovar Typhimurium (S. Typhimurium) is a facultative pathogen that uses complex mechanisms to invade and proliferate within mammalian host cells. To investigate possible contributions of metabolic processes to virulence in S. Typhimurium grown under conditions known to induce expression of virulence genes, we used a metabolomics-driven systems biology approach coupled with genome-scale modeling. First, we identified distinct metabolite profiles associated with bacteria grown in either rich or virulence-inducing media and report the most comprehensive coverage of the S. Typhimurium metabolome to date. Second, we applied an omics-informed genome-scale modeling analysis of the functional consequences of adaptive alterations in S. Typhimurium metabolism during growth under our conditions. Modeling efforts highlighted a decreased cellular capability to both produce and utilize intracellular amino acids during stationary phase culture in virulence conditions, despite significant abundance increases for these molecules as observed by our metabolomics measurements. Furthermore, analyses of omics data in the context of the metabolic model indicated rewiring of the metabolic network to support pathways associated with virulence. For example, cellular concentrations of polyamines were perturbed, as well as the predicted capacity for secretion and uptake.
},
added-at = {2018-12-02T16:09:07.000+0100},
author = {Kim, Young-Mo M. and Schmidt, Brian J. and Kidwai, Afshan S. and Jones, Marcus B. and Deatherage Kaiser, Brooke L. and Brewer, Heather M. and Mitchell, Hugh D. and Palsson, Bernhard O. and McDermott, Jason E. and Heffron, Fred and Smith, Richard D. and Peterson, Scott N. and Ansong, Charles and Hyduke, Daniel R. and Metz, Thomas O. and Adkins, Joshua N.},
biburl = {https://www.bibsonomy.org/bibtex/22fc51435b430e1d8a8b37caf6713ee64/karthikraman},
citeulike-article-id = {12415451},
citeulike-linkout-0 = {http://dx.doi.org/10.1039/c3mb25598k},
citeulike-linkout-1 = {http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3665296/},
citeulike-linkout-2 = {http://view.ncbi.nlm.nih.gov/pubmed/23559334},
citeulike-linkout-3 = {http://www.hubmed.org/display.cgi?uids=23559334},
day = 7,
doi = {10.1039/c3mb25598k},
interhash = {d37195f6bf1cf5224e6db2dfdf79da40},
intrahash = {2fc51435b430e1d8a8b37caf6713ee64},
issn = {1742-2051},
journal = {Molecular bioSystems},
keywords = {disease metabolic-networks},
month = jun,
number = 6,
pages = {1522--1534},
pmcid = {PMC3665296},
pmid = {23559334},
posted-at = {2013-06-14 05:14:01},
priority = {2},
timestamp = {2018-12-02T16:09:07.000+0100},
title = {Salmonella modulates metabolism during growth under conditions that induce expression of virulence genes.},
url = {http://dx.doi.org/10.1039/c3mb25598k},
volume = 9,
year = 2013
}