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Multilocus variable-number tandem-repeat analysis for genotyping of Shigella sonnei strains isolated from pediatric patients

AIM: The aims of this study were to characterize Iranian Shigella sonnei strains isolated from pediatric cases and evaluate the utility of multilocus variable-number tandem-repeat (VNTR) analysis (MLVA) for genotyping of local S. sonnei strains. BACKGROUND: S.  sonnei has become the dominant species...

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Autores principales: Ranjbar, Reza, Memariani, Mojtaba
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Shaheed Beheshti University of Medical Sciences 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4553163/
https://www.ncbi.nlm.nih.gov/pubmed/26328045
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author Ranjbar, Reza
Memariani, Mojtaba
author_facet Ranjbar, Reza
Memariani, Mojtaba
author_sort Ranjbar, Reza
collection PubMed
description AIM: The aims of this study were to characterize Iranian Shigella sonnei strains isolated from pediatric cases and evaluate the utility of multilocus variable-number tandem-repeat (VNTR) analysis (MLVA) for genotyping of local S. sonnei strains. BACKGROUND: S.  sonnei has become the dominant species in certain parts of Iran. Although PFGE is still a gold standard for genotyping and source tracking of food-borne pathogens, it is laborious, expensive, time-consuming, and often difficult to interpret. However, MLVA is a PCR-based method, which is rapid, relatively inexpensive and easy to perform. PATIENTS AND METHODS: A total of 47 S. sonnei isolates were obtained from sporadic cases of pediatric shigellosis in Tehran, Iran, during the years 2002-2003 (n=10) and 2008-2010 (n=37). The patients suffered from acute diarrhea and had evidence of more than three episodes of watery, loose, or bloody stools per day. A MLVA scheme based on 7 VNTR loci was established to assess the diversity of 47 S. sonnei isolates. RESULTS: Based on the results, it was clear that the S. sonnei isolates were heterogeneous. Overall, 47 S. sonnei isolates were discriminated into 21 different genotypes. Analysis of the MLVA profiles using a minimum spanning tree (MST) algorithm showed the usefulness of the MLVA assay in discriminating S. sonnei isolates collected over different time periods. However, no correlation was found between the MLVA genotypes and age, gender or clinical symptoms of the patients. CONCLUSION: It is assumed that our S. sonnei isolates are derived from a limited number of clones that undergo minor genetic changes in the course of time. The present study has provided some valuable insights into the genetic relatedness of S. sonnei in Tehran, Iran.
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spelling pubmed-45531632015-08-31 Multilocus variable-number tandem-repeat analysis for genotyping of Shigella sonnei strains isolated from pediatric patients Ranjbar, Reza Memariani, Mojtaba Gastroenterol Hepatol Bed Bench Original Article AIM: The aims of this study were to characterize Iranian Shigella sonnei strains isolated from pediatric cases and evaluate the utility of multilocus variable-number tandem-repeat (VNTR) analysis (MLVA) for genotyping of local S. sonnei strains. BACKGROUND: S.  sonnei has become the dominant species in certain parts of Iran. Although PFGE is still a gold standard for genotyping and source tracking of food-borne pathogens, it is laborious, expensive, time-consuming, and often difficult to interpret. However, MLVA is a PCR-based method, which is rapid, relatively inexpensive and easy to perform. PATIENTS AND METHODS: A total of 47 S. sonnei isolates were obtained from sporadic cases of pediatric shigellosis in Tehran, Iran, during the years 2002-2003 (n=10) and 2008-2010 (n=37). The patients suffered from acute diarrhea and had evidence of more than three episodes of watery, loose, or bloody stools per day. A MLVA scheme based on 7 VNTR loci was established to assess the diversity of 47 S. sonnei isolates. RESULTS: Based on the results, it was clear that the S. sonnei isolates were heterogeneous. Overall, 47 S. sonnei isolates were discriminated into 21 different genotypes. Analysis of the MLVA profiles using a minimum spanning tree (MST) algorithm showed the usefulness of the MLVA assay in discriminating S. sonnei isolates collected over different time periods. However, no correlation was found between the MLVA genotypes and age, gender or clinical symptoms of the patients. CONCLUSION: It is assumed that our S. sonnei isolates are derived from a limited number of clones that undergo minor genetic changes in the course of time. The present study has provided some valuable insights into the genetic relatedness of S. sonnei in Tehran, Iran. Shaheed Beheshti University of Medical Sciences 2015 /pmc/articles/PMC4553163/ /pubmed/26328045 Text en ©2015 RIGLD, Research Institute for Gastroenterology and Liver Diseases This is an Open Access article distributed under the terms of the Creative Commons Attribution License, (http://creativecommons.org/licenses/by/3.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Ranjbar, Reza
Memariani, Mojtaba
Multilocus variable-number tandem-repeat analysis for genotyping of Shigella sonnei strains isolated from pediatric patients
title Multilocus variable-number tandem-repeat analysis for genotyping of Shigella sonnei strains isolated from pediatric patients
title_full Multilocus variable-number tandem-repeat analysis for genotyping of Shigella sonnei strains isolated from pediatric patients
title_fullStr Multilocus variable-number tandem-repeat analysis for genotyping of Shigella sonnei strains isolated from pediatric patients
title_full_unstemmed Multilocus variable-number tandem-repeat analysis for genotyping of Shigella sonnei strains isolated from pediatric patients
title_short Multilocus variable-number tandem-repeat analysis for genotyping of Shigella sonnei strains isolated from pediatric patients
title_sort multilocus variable-number tandem-repeat analysis for genotyping of shigella sonnei strains isolated from pediatric patients
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4553163/
https://www.ncbi.nlm.nih.gov/pubmed/26328045
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