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Correlation between In Vivo Biofilm Formation and Virulence Gene Expression in Escherichia coli O104:H4

Overview of attention for article published in PLOS ONE, July 2012
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Title
Correlation between In Vivo Biofilm Formation and Virulence Gene Expression in Escherichia coli O104:H4
Published in
PLOS ONE, July 2012
DOI 10.1371/journal.pone.0041628
Pubmed ID
Authors

Rim Al Safadi, Galeb S. Abu-Ali, Rudolph E. Sloup, James T. Rudrik, Christopher M. Waters, Kathryn A. Eaton, Shannon D. Manning

Abstract

The emergence of novel pathogens poses a major public health threat causing widespread epidemics in susceptible populations. The Escherichia coli O104:H4 strain implicated in a 2011 outbreak in northern Germany caused the highest frequency of hemolytic uremic syndrome (HUS) and death ever recorded in a single E. coli outbreak. Therefore, it has been suggested that this strain is more virulent than other pathogenic E. coli (e.g., E. coli O157:H7). The E. coli O104:H4 outbreak strain possesses multiple virulence factors from both Shiga toxin (Stx)-producing E. coli (STEC) and enteroaggregative E. coli (EAEC), though the mechanism of pathogenesis is not known. Here, we demonstrate that E. coli O104:H4 produces a stable biofilm in vitro and that in vivo virulence gene expression is highest when E. coli O104:H4 overexpresses genes required for aggregation and exopolysaccharide production, a characteristic of bacterial cells residing within an established biofilm. Interrupting exopolysaccharide production and biofilm formation may therefore represent effective strategies for combating future E. coli O104:H4 infections.

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The data shown below were compiled from readership statistics for 81 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 1 1%
Ghana 1 1%
Brazil 1 1%
Japan 1 1%
United States 1 1%
Unknown 76 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 22 27%
Researcher 12 15%
Student > Master 10 12%
Student > Bachelor 8 10%
Student > Postgraduate 6 7%
Other 16 20%
Unknown 7 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 35 43%
Biochemistry, Genetics and Molecular Biology 12 15%
Immunology and Microbiology 11 14%
Medicine and Dentistry 3 4%
Environmental Science 2 2%
Other 5 6%
Unknown 13 16%