Prediction of pathogenicity islands in Enterohemorrhagic Escherichia coli O157:H7 using genomic barcodes |
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Authors: | Guoqing Wang Fengfeng Zhou Fan Li Ying Xu |
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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 |
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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. |
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Keywords: | PAIs pathogenicity islands |
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