Document Detail

A multi-omic systems approach to elucidating Yersinia virulence mechanisms.
MedLine Citation:
PMID:  23147219     Owner:  NLM     Status:  MEDLINE    
The underlying mechanisms that lead to dramatic differences between closely related pathogens are not always readily apparent. For example, the genomes of Yersinia pestis (YP) the causative agent of plague with a high mortality rate and Yersinia pseudotuberculosis (YPT) an enteric pathogen with a modest mortality rate are highly similar with some species specific differences; however the molecular causes of their distinct clinical outcomes remain poorly understood. In this study, a temporal multi-omic analysis of YP and YPT at physiologically relevant temperatures was performed to gain insights into how an acute and highly lethal bacterial pathogen, YP, differs from its less virulent progenitor, YPT. This analysis revealed higher gene and protein expression levels of conserved major virulence factors in YP relative to YPT, including the Yop virulon and the pH6 antigen. This suggests that adaptation in the regulatory architecture, in addition to the presence of unique genetic material, may contribute to the increased pathogenecity of YP relative to YPT. Additionally, global transcriptome and proteome responses of YP and YPT revealed conserved post-transcriptional control of metabolism and the translational machinery including the modulation of glutamate levels in Yersiniae. Finally, the omics data was coupled with a computational network analysis, allowing an efficient prediction of novel Yersinia virulence factors based on gene and protein expression patterns.
Charles Ansong; Alexandra C Schrimpe-Rutledge; Hugh D Mitchell; Sadhana Chauhan; Marcus B Jones; Young-Mo Kim; Kathleen McAteer; Brooke L Deatherage Kaiser; Jennifer L Dubois; Heather M Brewer; Bryan C Frank; Jason E McDermott; Thomas O Metz; Scott N Peterson; Richard D Smith; Vladimir L Motin; Joshua N Adkins
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Publication Detail:
Type:  Journal Article; Research Support, N.I.H., Intramural; Research Support, U.S. Gov't, Non-P.H.S.     Date:  2012-11-13
Journal Detail:
Title:  Molecular bioSystems     Volume:  9     ISSN:  1742-2051     ISO Abbreviation:  Mol Biosyst     Publication Date:  2013 Jan 
Date Detail:
Created Date:  2012-11-28     Completed Date:  2013-07-24     Revised Date:  2014-01-28    
Medline Journal Info:
Nlm Unique ID:  101251620     Medline TA:  Mol Biosyst     Country:  England    
Other Details:
Languages:  eng     Pagination:  44-54     Citation Subset:  IM    
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MeSH Terms
Body Temperature
Cluster Analysis
Gene Expression Profiling
Glutamic Acid
Host-Pathogen Interactions
Models, Biological
Proteomics / methods*
Transcriptome / genetics*
Yersinia / genetics,  metabolism,  pathogenicity*
Grant Support
5P41RR018522-10/RR/NCRR NIH HHS; 8 P41 GM103493-10/GM/NIGMS NIH HHS; P41 GM103493/GM/NIGMS NIH HHS; Y1-AI-8401/AI/NIAID NIH HHS
Reg. No./Substance:
3KX376GY7L/Glutamic Acid

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine

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