Article

Proteomic analysis of a multi-resistant clinical Escherichia coli isolate of unknown genomic background.

The Gade Institute, Section for Microbiology and Immunology, University of Bergen, Norway.
Journal of proteomics (impact factor: 5.07). 03/2012; 75(6):1830-7. DOI:10.1016/j.jprot.2011.12.024
Source: PubMed

ABSTRACT Horizontal transfer of gene clusters occurs in Escherichia coli (E. coli), which could lead to evolution of new pathovars and improve survival fitness. However, this genetic event results in genomic plasticity which is a hindrance for proteomic characterization of strains with unknown genetic backgrounds. To characterize such isolate with many specific genetic variations we used the recently in-house designed MSMSpdbb software which merges protein databases from several sources of E. coli including type strains and other commensal and pathogenic isolates. We selected a multidrug resistant clinical isolate in order to check the capacity of our approach to identify selected protein markers. From the 1596 identified proteins, we found important virulence factors such as IutA, OmpA, TraT and selected enzymes conferring antibiotic resistance, such as CTX-M-15 (Extended-Spectrum Beta Lactamase--ESBL) and AAC(6')-Ib-cr (to aminoglycoside+fluoroquinolone). In addition, we compared the protein identifications with E. coli gene annotation and found that 27% of the proteins identified in the present study corresponded to the pan-genome of E. coli species and are only present in a subset of strains. This demonstrates the ability of our approach to characterize the proteome of bacterial strains with complex genomic plasticity even without its genomic information.

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Keywords

antibiotic resistance
 
complex genomic plasticity
 
E. coli
 
E. coli gene annotation
 
E. coli species
 
Escherichia coli
 
gene clusters
 
genetic event results
 
genomic information
 
genomic plasticity
 
Horizontal transfer
 
merges protein databases
 
MSMSpdbb software
 
multidrug resistant clinical
 
present study corresponded
 
protein markers
 
proteins
 
specific genetic variations
 
unknown genetic backgrounds
 
virulence factors