[ Back to EurekAlert! ] Public release date: 10-Jun-2011
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Contact: Tiffany Trent
ttrent@vbi.vt.edu
540-231-6822
Virginia Tech

Two isolates from E. coli outbreak available

An outbreak of Escherichia coli causing a severe illness called hemolytic-uremic syndrome (HUS) began in Germany on May 2, 2011 and has killed more than 20 people and sickened more than 2,000. The organism causing the outbreak has been identified as a strain of E. coli O104:H4 that produces a Shiga toxin and causes an illness similar to infection with E. coli O157:H7. Two isolates from this outbreak have been sequenced. Both strains, TY-2482 and LB226692, have been annotated and are now available from Virginia Bioinformatics Institute's (VBI's) Pathosystems Resource Integration Center (PATRIC, patricbrc.org), which is funded by the National Institute of Allergy and Infectious Diseases.

In the rush to save lives, many laboratories are analyzing these genomes and providing data to the research community. Bruno Sobral, PATRIC's principal investigator, commented, "The PATRIC team is working around the clock to help the scientific community address this emergency. Analyses such as these provide insights into the origin of highly pathogenic strains and potential response strategies."

The two genomes have been annotated with Rapid Annotation using Subsystem Technology (RAST), making them consistent with the 184 E. coli genomes and the total 2,865 bacterial genomes available at PATRIC. The proteins conserved across all E. coli have been used to generate a preliminary phylogenetic tree that is based on 166640 characters across 527 genes in 354 taxa. This tree shows that the two new strains are most closely related to the pathogenic, enteroaggregative strain 559899, which may give additional insight into its origin. The tree is available in interactive form on the PATRIC website (http://patricbrc.org/portal/portal/patric/Phylogeny?cType=taxon&cId=561). For a comparison of the RAST annotations with the other publicized annotations, visit http://theseed.org/ecoli/.

As can be seen in the PATRIC Protein Family Sorter (http://patricbrc.org/portal/portal/patric/FIGfamSorterB?cType=taxon&cId=561&dm=result), the proteins from these two new pathogenic strains have several unique islands as compared to other E. coli genomes. Further investigation of these islands and unique proteins may yield clues as to virulence or intervention strategies for the new strains. The "heatmap" tab of the Protein Family Sorter presents a graphical view presence and absence of the proteins across the E. coli genomes.

Much of the information in PATRIC is updated on an ongoing basis including:

PATRIC is performing additional analyses, including collecting a list of the important genes identified, and will be providing gene trees and multiple sequence alignments of the genes with their closest homologs. Updates will be posted at http://enews.patricbrc.org/

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The PATRIC Project is one of five Bioinformatics Resource Centers (BRCs) funded in whole or in part with federal funds from the National Institute of Allergy and Infectious Diseases (NIAID). Each center specializes in a different group of pathogens including, but not limited to, NIAID Category A-C Priority Pathogen lists for biodefense research, and pathogens causing emerging/reemerging infectious diseases. PATRIC is funded under Contract No. HHSN272200900040C, awarded to Sobral.

About Virginia Bioinformatics Institute

The Virginia Bioinformatics Institute at Virginia Tech is a premier bioinformatics, computational biology, and systems biology research facility that uses transdisciplinary approaches to science combining information technology, biology, and medicine. These approaches are used to interpret and apply vast amounts of biological data generated from basic research to some of today's key challenges in the biomedical, environmental, and agricultural sciences. With more than 240 highly trained multidisciplinary, international personnel, research at the institute involves collaboration in diverse disciplines such as mathematics, computer science, biology, plant pathology, biochemistry, systems biology, statistics, economics, synthetic biology, and medicine. The large amounts of data generated by this approach are analyzed and interpreted to create new knowledge that is disseminated to the world's scientific, governmental, and wider communities.

For the full news item on this work, visit http://enews.patricbrc.org/1172/e-coli-outbreak-new-comprehensive-comparisons/.



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