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Genetic subtyping of Listeria monocytogenes via multiple-locus sequence typing using iap, sigB and actA
Pulse field gel electrophoresis (PFGE) is widely used for listeriosis surveillance. Although this technique is effective for epidemiology, the data among laboratories are inconsistent. We previously reported a method for Listeria monocytogenes subtyping combined with sequence analysis of partial iap...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Japanese Society of Veterinary Science
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5240762/ https://www.ncbi.nlm.nih.gov/pubmed/27725353 http://dx.doi.org/10.1292/jvms.16-0367 |
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author | YOSHIKAWA, Yuko OCHIAI, Yoshitsugu MOCHIZUKI, Mariko FUJITA, Osamu TAKANO, Takashi HONDO, Ryo UEDA, Fukiko |
author_facet | YOSHIKAWA, Yuko OCHIAI, Yoshitsugu MOCHIZUKI, Mariko FUJITA, Osamu TAKANO, Takashi HONDO, Ryo UEDA, Fukiko |
author_sort | YOSHIKAWA, Yuko |
collection | PubMed |
description | Pulse field gel electrophoresis (PFGE) is widely used for listeriosis surveillance. Although this technique is effective for epidemiology, the data among laboratories are inconsistent. We previously reported a method for Listeria monocytogenes subtyping combined with sequence analysis of partial iap and whole genome restriction fragment length polymorphism (RFLP) using XbaI, ClaI (BanIII) and PstI. However, distinguishing subtypes was challenging, because the output comprised complicated fragment patterns. In this study, we aimed to establish a simple genotyping method that does not depend on visual observation, rather it focuses on multi-locus sequence typing (MLST) using three genes, iap, sigB and actA. Sixty-eight strains of L. monocytogenes including EGD-e as a reference strain were investigated to ensure consistency with previous data on the genetic characterization. All strains were grouped into 29 types by both analyses. Although there are some differences in classification, major clades included the same strains. Simpson’s indices of diversity (SID) by MLST and iap-RFLP-based typing were 0.967 (95% confidence interval [CI]: 0.955/0.978) and 0.967 (95% CI: 0.955/0.979), respectively. The discriminatory power of both methods can be considered almost identical. Compared with the results of 38 selected strains, the strains within the MLST clusters in this study coincided with those obtained using PFGE. Thus, the MLST strategy could help differentiate among L. monocytogenes isolates during epidemiological studies. |
format | Online Article Text |
id | pubmed-5240762 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | The Japanese Society of Veterinary Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-52407622017-01-30 Genetic subtyping of Listeria monocytogenes via multiple-locus sequence typing using iap, sigB and actA YOSHIKAWA, Yuko OCHIAI, Yoshitsugu MOCHIZUKI, Mariko FUJITA, Osamu TAKANO, Takashi HONDO, Ryo UEDA, Fukiko J Vet Med Sci Public Health Pulse field gel electrophoresis (PFGE) is widely used for listeriosis surveillance. Although this technique is effective for epidemiology, the data among laboratories are inconsistent. We previously reported a method for Listeria monocytogenes subtyping combined with sequence analysis of partial iap and whole genome restriction fragment length polymorphism (RFLP) using XbaI, ClaI (BanIII) and PstI. However, distinguishing subtypes was challenging, because the output comprised complicated fragment patterns. In this study, we aimed to establish a simple genotyping method that does not depend on visual observation, rather it focuses on multi-locus sequence typing (MLST) using three genes, iap, sigB and actA. Sixty-eight strains of L. monocytogenes including EGD-e as a reference strain were investigated to ensure consistency with previous data on the genetic characterization. All strains were grouped into 29 types by both analyses. Although there are some differences in classification, major clades included the same strains. Simpson’s indices of diversity (SID) by MLST and iap-RFLP-based typing were 0.967 (95% confidence interval [CI]: 0.955/0.978) and 0.967 (95% CI: 0.955/0.979), respectively. The discriminatory power of both methods can be considered almost identical. Compared with the results of 38 selected strains, the strains within the MLST clusters in this study coincided with those obtained using PFGE. Thus, the MLST strategy could help differentiate among L. monocytogenes isolates during epidemiological studies. The Japanese Society of Veterinary Science 2016-10-01 2016-12 /pmc/articles/PMC5240762/ /pubmed/27725353 http://dx.doi.org/10.1292/jvms.16-0367 Text en ©2016 The Japanese Society of Veterinary Science http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution Non-Commercial No Derivatives (by-nc-nd) License. |
spellingShingle | Public Health YOSHIKAWA, Yuko OCHIAI, Yoshitsugu MOCHIZUKI, Mariko FUJITA, Osamu TAKANO, Takashi HONDO, Ryo UEDA, Fukiko Genetic subtyping of Listeria monocytogenes via multiple-locus sequence typing using iap, sigB and actA |
title | Genetic subtyping of Listeria monocytogenes via
multiple-locus sequence typing using iap, sigB and
actA |
title_full | Genetic subtyping of Listeria monocytogenes via
multiple-locus sequence typing using iap, sigB and
actA |
title_fullStr | Genetic subtyping of Listeria monocytogenes via
multiple-locus sequence typing using iap, sigB and
actA |
title_full_unstemmed | Genetic subtyping of Listeria monocytogenes via
multiple-locus sequence typing using iap, sigB and
actA |
title_short | Genetic subtyping of Listeria monocytogenes via
multiple-locus sequence typing using iap, sigB and
actA |
title_sort | genetic subtyping of listeria monocytogenes via
multiple-locus sequence typing using iap, sigb and
acta |
topic | Public Health |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5240762/ https://www.ncbi.nlm.nih.gov/pubmed/27725353 http://dx.doi.org/10.1292/jvms.16-0367 |
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