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A Multi-Omic View of Host-Pathogen-Commensal Interplay in Salmonella-Mediated Intestinal Infection

Overview of attention for article published in PLOS ONE, June 2013
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Title
A Multi-Omic View of Host-Pathogen-Commensal Interplay in Salmonella-Mediated Intestinal Infection
Published in
PLOS ONE, June 2013
DOI 10.1371/journal.pone.0067155
Pubmed ID
Authors

Brooke L. Deatherage Kaiser, Jie Li, James A. Sanford, Young-Mo Kim, Scott R. Kronewitter, Marcus B. Jones, Christine T. Peterson, Scott N. Peterson, Bryan C. Frank, Samuel O. Purvine, Joseph N. Brown, Thomas O. Metz, Richard D. Smith, Fred Heffron, Joshua N. Adkins

Abstract

The potential for commensal microorganisms indigenous to a host (the 'microbiome' or 'microbiota') to alter infection outcome by influencing host-pathogen interplay is largely unknown. We used a multi-omics "systems" approach, incorporating proteomics, metabolomics, glycomics, and metagenomics, to explore the molecular interplay between the murine host, the pathogen Salmonella enterica serovar Typhimurium (S. Typhimurium), and commensal gut microorganisms during intestinal infection with S. Typhimurium. We find proteomic evidence that S. Typhimurium thrives within the infected 129/SvJ mouse gut without antibiotic pre-treatment, inducing inflammation and disrupting the intestinal microbiome (e.g., suppressing Bacteroidetes and Firmicutes while promoting growth of Salmonella and Enterococcus). Alteration of the host microbiome population structure was highly correlated with gut environmental changes, including the accumulation of metabolites normally consumed by commensal microbiota. Finally, the less characterized phase of S. Typhimurium's lifecycle was investigated, and both proteomic and glycomic evidence suggests S. Typhimurium may take advantage of increased fucose moieties to metabolize fucose while growing in the gut. The application of multiple omics measurements to Salmonella-induced intestinal inflammation provides insights into complex molecular strategies employed during pathogenesis between host, pathogen, and the microbiome.

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The data shown below were compiled from readership statistics for 143 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 2 1%
Brazil 2 1%
Turkey 1 <1%
Switzerland 1 <1%
Ireland 1 <1%
Sweden 1 <1%
South Africa 1 <1%
United States 1 <1%
Unknown 133 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 36 25%
Researcher 33 23%
Student > Master 12 8%
Student > Doctoral Student 9 6%
Professor > Associate Professor 8 6%
Other 29 20%
Unknown 16 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 63 44%
Biochemistry, Genetics and Molecular Biology 18 13%
Immunology and Microbiology 11 8%
Medicine and Dentistry 10 7%
Chemistry 4 3%
Other 14 10%
Unknown 23 16%