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The evaluation and application of multilocus variable number tandem repeat analysis (MLVA) for the molecular epidemiological study of Salmonella enterica subsp. enterica serovar Enteritidis infection

BACKGROUND: Salmonella enterica subsp. enterica serovar Enteritidis (S. Enteritidis) is one of the most prevalent Salmonella serotypes that cause gastroenteritis worldwide and the most prevalent serotype causing Salmonella infections in China. A rapid molecular typing method with high throughput and...

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Autores principales: Liu, Yao, Shi, Xiaolu, Li, Yinghui, Chen, Qiongcheng, Jiang, Min, Li, Wanli, Qiu, Yaqun, Lin, Yiman, Jiang, Yixiang, Kan, Biao, Sun, Qun, Hu, Qinghua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4731957/
https://www.ncbi.nlm.nih.gov/pubmed/26823185
http://dx.doi.org/10.1186/s12941-016-0119-3
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author Liu, Yao
Shi, Xiaolu
Li, Yinghui
Chen, Qiongcheng
Jiang, Min
Li, Wanli
Qiu, Yaqun
Lin, Yiman
Jiang, Yixiang
Kan, Biao
Sun, Qun
Hu, Qinghua
author_facet Liu, Yao
Shi, Xiaolu
Li, Yinghui
Chen, Qiongcheng
Jiang, Min
Li, Wanli
Qiu, Yaqun
Lin, Yiman
Jiang, Yixiang
Kan, Biao
Sun, Qun
Hu, Qinghua
author_sort Liu, Yao
collection PubMed
description BACKGROUND: Salmonella enterica subsp. enterica serovar Enteritidis (S. Enteritidis) is one of the most prevalent Salmonella serotypes that cause gastroenteritis worldwide and the most prevalent serotype causing Salmonella infections in China. A rapid molecular typing method with high throughput and good epidemiological discrimination is urgently needed for detecting the outbreaks and finding the source for effective control of S. Enteritidis infections. METHODS: In this study, 194 strains which included 47 from six outbreaks that were well-characterized epidemiologically were analyzed with pulse field gel electrophoresis (PFGE) and multilocus variable number tandem repeat analysis (MLVA). Seven VNTR loci published by the US Center for Disease Control and Prevention (CDC) were used to evaluate and develop MLVA scheme for S. Enteritidis molecular subtyping by comparing with PFGE, and then MLVA was applied to the suspected outbreaks detection. All S. Enteritidis isolates were analyzed with MLVA to establish a MLVA database in Shenzhen, Guangdong province, China to facilitate the detection of S. Enteritidis infection clusters. RESULTS: There were 33 MLVA types and 29 PFGE patterns among 147 sporadic isolates. These two measures had Simpson indices of 0.7701 and 0.8043, respectively, which did not differ significantly. Epidemiological concordance was evaluated by typing 47 isolates from six epidemiologically well-characterized outbreaks and it did not differ for PFGE and MLVA. We applied the well established MLVA method to detect two S. Enteritidis foodborne outbreaks and find their sources successfully in 2014. A MLVA database of 491 S. Enteritidis strains isolated from 2004 to 2014 was established for the surveillance of clusters in the future. CONCLUSIONS: MLVA typing of S. Enteritidis would be an effective tool for early warning and epidemiological surveillance of S. Enteritidis infections. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12941-016-0119-3) contains supplementary material, which is available to authorized users.
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spelling pubmed-47319572016-01-30 The evaluation and application of multilocus variable number tandem repeat analysis (MLVA) for the molecular epidemiological study of Salmonella enterica subsp. enterica serovar Enteritidis infection Liu, Yao Shi, Xiaolu Li, Yinghui Chen, Qiongcheng Jiang, Min Li, Wanli Qiu, Yaqun Lin, Yiman Jiang, Yixiang Kan, Biao Sun, Qun Hu, Qinghua Ann Clin Microbiol Antimicrob Research BACKGROUND: Salmonella enterica subsp. enterica serovar Enteritidis (S. Enteritidis) is one of the most prevalent Salmonella serotypes that cause gastroenteritis worldwide and the most prevalent serotype causing Salmonella infections in China. A rapid molecular typing method with high throughput and good epidemiological discrimination is urgently needed for detecting the outbreaks and finding the source for effective control of S. Enteritidis infections. METHODS: In this study, 194 strains which included 47 from six outbreaks that were well-characterized epidemiologically were analyzed with pulse field gel electrophoresis (PFGE) and multilocus variable number tandem repeat analysis (MLVA). Seven VNTR loci published by the US Center for Disease Control and Prevention (CDC) were used to evaluate and develop MLVA scheme for S. Enteritidis molecular subtyping by comparing with PFGE, and then MLVA was applied to the suspected outbreaks detection. All S. Enteritidis isolates were analyzed with MLVA to establish a MLVA database in Shenzhen, Guangdong province, China to facilitate the detection of S. Enteritidis infection clusters. RESULTS: There were 33 MLVA types and 29 PFGE patterns among 147 sporadic isolates. These two measures had Simpson indices of 0.7701 and 0.8043, respectively, which did not differ significantly. Epidemiological concordance was evaluated by typing 47 isolates from six epidemiologically well-characterized outbreaks and it did not differ for PFGE and MLVA. We applied the well established MLVA method to detect two S. Enteritidis foodborne outbreaks and find their sources successfully in 2014. A MLVA database of 491 S. Enteritidis strains isolated from 2004 to 2014 was established for the surveillance of clusters in the future. CONCLUSIONS: MLVA typing of S. Enteritidis would be an effective tool for early warning and epidemiological surveillance of S. Enteritidis infections. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12941-016-0119-3) contains supplementary material, which is available to authorized users. BioMed Central 2016-01-29 /pmc/articles/PMC4731957/ /pubmed/26823185 http://dx.doi.org/10.1186/s12941-016-0119-3 Text en © Liu et al. 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Liu, Yao
Shi, Xiaolu
Li, Yinghui
Chen, Qiongcheng
Jiang, Min
Li, Wanli
Qiu, Yaqun
Lin, Yiman
Jiang, Yixiang
Kan, Biao
Sun, Qun
Hu, Qinghua
The evaluation and application of multilocus variable number tandem repeat analysis (MLVA) for the molecular epidemiological study of Salmonella enterica subsp. enterica serovar Enteritidis infection
title The evaluation and application of multilocus variable number tandem repeat analysis (MLVA) for the molecular epidemiological study of Salmonella enterica subsp. enterica serovar Enteritidis infection
title_full The evaluation and application of multilocus variable number tandem repeat analysis (MLVA) for the molecular epidemiological study of Salmonella enterica subsp. enterica serovar Enteritidis infection
title_fullStr The evaluation and application of multilocus variable number tandem repeat analysis (MLVA) for the molecular epidemiological study of Salmonella enterica subsp. enterica serovar Enteritidis infection
title_full_unstemmed The evaluation and application of multilocus variable number tandem repeat analysis (MLVA) for the molecular epidemiological study of Salmonella enterica subsp. enterica serovar Enteritidis infection
title_short The evaluation and application of multilocus variable number tandem repeat analysis (MLVA) for the molecular epidemiological study of Salmonella enterica subsp. enterica serovar Enteritidis infection
title_sort evaluation and application of multilocus variable number tandem repeat analysis (mlva) for the molecular epidemiological study of salmonella enterica subsp. enterica serovar enteritidis infection
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4731957/
https://www.ncbi.nlm.nih.gov/pubmed/26823185
http://dx.doi.org/10.1186/s12941-016-0119-3
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