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. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 2 | 17% |
United States | 2 | 17% |
Chile | 1 | 8% |
Spain | 1 | 8% |
Singapore | 1 | 8% |
Unknown | 5 | 42% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 8 | 67% |
Scientists | 4 | 33% |
Mendeley readers
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% |