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Prediction of pathogenicity islands in Enterohemorrhagic Escherichia coli O157:H7 using genomic barcodes
Authors:Guoqing Wang  Fengfeng Zhou  Fan Li  Ying Xu
Affiliation:a Computational Systems Biology Laboratory, Department of Biochemistry and Molecular Biology, and Institute of Bioinformatics, University of Georgia, Athens, GA 30602, USA
b Department of Pathogenobiology, Jilin University, Changchun, Jilin 130000, China
c College of Computer Science and Technology, Jilin University, Changchun, Jilin 130000, China
Abstract:The genome of lethal animal pathogenic bacterium Enterohemorrhagic Escherichia coli (EHEC) O157:H7 is characterized by the presence of multiple pathogenicity islands (PAIs). Computational methods have been developed to identify PAIs based on the distinguishing G + C levels in some PAI versus non-PAI regions. We observed that PAIs can have a very similar G + C level to that of the host chromosome, which may have led to false negative predictions using these methods. We have applied a novel method of genomic barcodes to identify PAIs. Using this technique, we have successfully identified both known and novel PAIs in the genomes of three strains of EHEC O157:H7.
Keywords:PAIs   pathogenicity islands
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