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In Silico Signature Prediction Modeling in Cytolethal Distending Toxin-Producing Escherichia coli Strains

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 biomarke...

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Autores principales: Javadi, Maryam, Oloomi, Mana, Bouzari, Saeid
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Korea Genome Organization 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5478710/
https://www.ncbi.nlm.nih.gov/pubmed/28638312
http://dx.doi.org/10.5808/GI.2017.15.2.69
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author Javadi, Maryam
Oloomi, Mana
Bouzari, Saeid
author_facet Javadi, Maryam
Oloomi, Mana
Bouzari, Saeid
author_sort Javadi, Maryam
collection PubMed
description 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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spelling pubmed-54787102017-06-21 In Silico Signature Prediction Modeling in Cytolethal Distending Toxin-Producing Escherichia coli Strains Javadi, Maryam Oloomi, Mana Bouzari, Saeid Genomics Inform Original Article 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. Korea Genome Organization 2017-06 2017-06-15 /pmc/articles/PMC5478710/ /pubmed/28638312 http://dx.doi.org/10.5808/GI.2017.15.2.69 Text en Copyright © 2017 by the Korea Genome Organization http://creativecommons.org/licenses/by-nc/4.0/ It is identical to the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/).
spellingShingle Original Article
Javadi, Maryam
Oloomi, Mana
Bouzari, Saeid
In Silico Signature Prediction Modeling in Cytolethal Distending Toxin-Producing Escherichia coli Strains
title In Silico Signature Prediction Modeling in Cytolethal Distending Toxin-Producing Escherichia coli Strains
title_full In Silico Signature Prediction Modeling in Cytolethal Distending Toxin-Producing Escherichia coli Strains
title_fullStr In Silico Signature Prediction Modeling in Cytolethal Distending Toxin-Producing Escherichia coli Strains
title_full_unstemmed In Silico Signature Prediction Modeling in Cytolethal Distending Toxin-Producing Escherichia coli Strains
title_short In Silico Signature Prediction Modeling in Cytolethal Distending Toxin-Producing Escherichia coli Strains
title_sort in silico signature prediction modeling in cytolethal distending toxin-producing escherichia coli strains
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5478710/
https://www.ncbi.nlm.nih.gov/pubmed/28638312
http://dx.doi.org/10.5808/GI.2017.15.2.69
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