Cargando…

Determining Clostridium difficile intra-taxa diversity by mining multilocus sequence typing databases

BACKGROUND: Multilocus sequence typing (MLST) is a highly discriminatory typing strategy; it is reproducible and scalable. There is a MLST scheme for Clostridium difficile (CD), a gram positive bacillus causing different pathologies of the gastrointestinal tract. This work was aimed at describing th...

Descripción completa

Detalles Bibliográficos
Autores principales: Muñoz, Marina, Ríos-Chaparro, Dora Inés, Patarroyo, Manuel Alfonso, Ramírez, Juan David
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5348806/
https://www.ncbi.nlm.nih.gov/pubmed/28288567
http://dx.doi.org/10.1186/s12866-017-0969-7
_version_ 1782514327507435520
author Muñoz, Marina
Ríos-Chaparro, Dora Inés
Patarroyo, Manuel Alfonso
Ramírez, Juan David
author_facet Muñoz, Marina
Ríos-Chaparro, Dora Inés
Patarroyo, Manuel Alfonso
Ramírez, Juan David
author_sort Muñoz, Marina
collection PubMed
description BACKGROUND: Multilocus sequence typing (MLST) is a highly discriminatory typing strategy; it is reproducible and scalable. There is a MLST scheme for Clostridium difficile (CD), a gram positive bacillus causing different pathologies of the gastrointestinal tract. This work was aimed at describing the frequency of sequence types (STs) and Clades (C) reported and evalute the intra-taxa diversity in the CD MLST database (CD-MLST-db) using an MLSA approach. RESULTS: Analysis of 1778 available isolates showed that clade 1 (C1) was the most frequent worldwide (57.7%), followed by C2 (29.1%). Regarding sequence types (STs), it was found that ST-1, belonging to C2, was the most frequent. The isolates analysed came from 17 countries, mostly from the United Kingdom (UK) (1541 STs, 87.0%). The diversity of the seven housekeeping genes in the MLST scheme was evaluated, and alleles from the profiles (STs), for identifying CD population structure. It was found that adk and atpA are conserved genes allowing a limited amount of clusters to be discriminated; however, different genes such as drx, glyA and particularly sodA showed high diversity indexes and grouped CD populations in many clusters, suggesting that these genes’ contribution to CD typing should be revised. It was identified that CD STs reported to date have a mostly clonal population structure with foreseen events of recombination; however, one group of STs was not assigned to a clade being highly different containing at least nine well-supported clusters, suggesting a greater amount of clades for CD. CONCLUSIONS: This study shows the usefulness of CD-MLST-db as a tool for studying CD distribution and population structure, identifying the need for reviewing the usefulness of sodA as housekeeping gene within the MLST scheme and suggesting the existence of a greater amount of CD clades. The study also shows the plausible exchange of genetic material between STs, contributing towards intra-taxa genetic diversity. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12866-017-0969-7) contains supplementary material, which is available to authorized users.
format Online
Article
Text
id pubmed-5348806
institution National Center for Biotechnology Information
language English
publishDate 2017
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-53488062017-03-14 Determining Clostridium difficile intra-taxa diversity by mining multilocus sequence typing databases Muñoz, Marina Ríos-Chaparro, Dora Inés Patarroyo, Manuel Alfonso Ramírez, Juan David BMC Microbiol Research Article BACKGROUND: Multilocus sequence typing (MLST) is a highly discriminatory typing strategy; it is reproducible and scalable. There is a MLST scheme for Clostridium difficile (CD), a gram positive bacillus causing different pathologies of the gastrointestinal tract. This work was aimed at describing the frequency of sequence types (STs) and Clades (C) reported and evalute the intra-taxa diversity in the CD MLST database (CD-MLST-db) using an MLSA approach. RESULTS: Analysis of 1778 available isolates showed that clade 1 (C1) was the most frequent worldwide (57.7%), followed by C2 (29.1%). Regarding sequence types (STs), it was found that ST-1, belonging to C2, was the most frequent. The isolates analysed came from 17 countries, mostly from the United Kingdom (UK) (1541 STs, 87.0%). The diversity of the seven housekeeping genes in the MLST scheme was evaluated, and alleles from the profiles (STs), for identifying CD population structure. It was found that adk and atpA are conserved genes allowing a limited amount of clusters to be discriminated; however, different genes such as drx, glyA and particularly sodA showed high diversity indexes and grouped CD populations in many clusters, suggesting that these genes’ contribution to CD typing should be revised. It was identified that CD STs reported to date have a mostly clonal population structure with foreseen events of recombination; however, one group of STs was not assigned to a clade being highly different containing at least nine well-supported clusters, suggesting a greater amount of clades for CD. CONCLUSIONS: This study shows the usefulness of CD-MLST-db as a tool for studying CD distribution and population structure, identifying the need for reviewing the usefulness of sodA as housekeeping gene within the MLST scheme and suggesting the existence of a greater amount of CD clades. The study also shows the plausible exchange of genetic material between STs, contributing towards intra-taxa genetic diversity. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12866-017-0969-7) contains supplementary material, which is available to authorized users. BioMed Central 2017-03-14 /pmc/articles/PMC5348806/ /pubmed/28288567 http://dx.doi.org/10.1186/s12866-017-0969-7 Text en © The Author(s). 2017 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 Article
Muñoz, Marina
Ríos-Chaparro, Dora Inés
Patarroyo, Manuel Alfonso
Ramírez, Juan David
Determining Clostridium difficile intra-taxa diversity by mining multilocus sequence typing databases
title Determining Clostridium difficile intra-taxa diversity by mining multilocus sequence typing databases
title_full Determining Clostridium difficile intra-taxa diversity by mining multilocus sequence typing databases
title_fullStr Determining Clostridium difficile intra-taxa diversity by mining multilocus sequence typing databases
title_full_unstemmed Determining Clostridium difficile intra-taxa diversity by mining multilocus sequence typing databases
title_short Determining Clostridium difficile intra-taxa diversity by mining multilocus sequence typing databases
title_sort determining clostridium difficile intra-taxa diversity by mining multilocus sequence typing databases
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5348806/
https://www.ncbi.nlm.nih.gov/pubmed/28288567
http://dx.doi.org/10.1186/s12866-017-0969-7
work_keys_str_mv AT munozmarina determiningclostridiumdifficileintrataxadiversitybyminingmultilocussequencetypingdatabases
AT rioschaparrodoraines determiningclostridiumdifficileintrataxadiversitybyminingmultilocussequencetypingdatabases
AT patarroyomanuelalfonso determiningclostridiumdifficileintrataxadiversitybyminingmultilocussequencetypingdatabases
AT ramirezjuandavid determiningclostridiumdifficileintrataxadiversitybyminingmultilocussequencetypingdatabases