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KMID : 1132720170150020069
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Genomics & Informatics
2017 Volume.15 No. 2 p.69 ~ p.80
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In Silico Signature Prediction Modeling in Cytolethal Distending Toxin-Producing Escherichia coli Strains
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Javadi Maryam
Oloomi Mana
Bouzari Saeid
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Abstract
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In this study, cytolethal distending toxin (CDT) producer isolates genome were compared with genome of pathogenic and commensal Escherichia coli strains. Conserved genomic signatures among different types of CDT producer E. coli strains were assessed. It was shown that they could be used as biomarkers for research purposes and clinical diagnosis by polymerase chain reaction, or in vaccine development. cdt genes and several other genetic biomarkers were identified as signature sequences in CDT producer strains. The identified signatures include several individual phage proteins (holins, nucleases, and terminases, and transferases) and multiple members of different protein families (the lambda family, phage-integrase family, phage-tail tape protein family, putative membrane proteins, regulatory proteins, restriction-modification system proteins, tail fiber-assembly proteins, base plate-assembly proteins, and other prophage tail-related proteins). In this study, a sporadic phylogenic pattern was demonstrated in the CDT-producing strains. In conclusion, conserved signature proteins in a wide range of pathogenic bacterial strains can potentially be used in modern vaccine-design strategies.
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KEYWORD
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biomarkers, cytolethal distending toxin, genomic signature, multiple alignments, pathogenic Escherichia coli
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