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Development and Implementation of Whole Genome Sequencing-Based Typing Schemes for Clostridioides difficile
Clostridioides difficile is an important nosocomial pathogen increasingly observed in the community and in different non-human reservoirs. The epidemiology and transmissibility of C. difficile has been studied using a variety of typing methods, including more recently developed whole-genome sequence...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2019
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6821651/ https://www.ncbi.nlm.nih.gov/pubmed/31709221 http://dx.doi.org/10.3389/fpubh.2019.00309 |
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author | Janezic, Sandra Rupnik, Maja |
author_facet | Janezic, Sandra Rupnik, Maja |
author_sort | Janezic, Sandra |
collection | PubMed |
description | Clostridioides difficile is an important nosocomial pathogen increasingly observed in the community and in different non-human reservoirs. The epidemiology and transmissibility of C. difficile has been studied using a variety of typing methods, including more recently developed whole-genome sequence (WGS) analysis that is becoming used routinely for bacterial typing worldwide. Here we review the schemes for WGS-based typing methods available for C. difficile and their applications in the field of human C. difficile infection (CDI). The two main approaches to discover genomic variations are single nucleotide variant (SNV) analysis and methods based on gene-by-gene comparisons (frequently called core genome or whole genome MLST, cgMLST, or wgMLST). SNV analysis currently provides the ultimate resolution, however, typing nomenclature and standardized methodology are missing. On the other hand, gene-by-gene approaches allow portability and standardized nomenclature, and are therefore becoming increasingly popular in bacterial epidemiology and outbreak investigation. Two commercial software packages (BioNumerics and Ridom SeqSphere+) and an open source database (EnteroBase) for allele and sequence type determination for C. difficile are currently available. Proof-of-concept WGS studies have already enabled advances in the investigation of the population structure of C. difficile species, microevolution within the epidemic strains, intercontinental transmission over time and in tracking of transmission events. WGS of clinical C. difficile isolates demonstrated a considerable genetic diversity suggesting diverse reservoirs for CDI. WGS was also shown to aid in resolving relapses and reinfections in recurrent CDI and has potential for use as a tool for assessing hospital infection prevention and control performance. |
format | Online Article Text |
id | pubmed-6821651 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-68216512019-11-08 Development and Implementation of Whole Genome Sequencing-Based Typing Schemes for Clostridioides difficile Janezic, Sandra Rupnik, Maja Front Public Health Public Health Clostridioides difficile is an important nosocomial pathogen increasingly observed in the community and in different non-human reservoirs. The epidemiology and transmissibility of C. difficile has been studied using a variety of typing methods, including more recently developed whole-genome sequence (WGS) analysis that is becoming used routinely for bacterial typing worldwide. Here we review the schemes for WGS-based typing methods available for C. difficile and their applications in the field of human C. difficile infection (CDI). The two main approaches to discover genomic variations are single nucleotide variant (SNV) analysis and methods based on gene-by-gene comparisons (frequently called core genome or whole genome MLST, cgMLST, or wgMLST). SNV analysis currently provides the ultimate resolution, however, typing nomenclature and standardized methodology are missing. On the other hand, gene-by-gene approaches allow portability and standardized nomenclature, and are therefore becoming increasingly popular in bacterial epidemiology and outbreak investigation. Two commercial software packages (BioNumerics and Ridom SeqSphere+) and an open source database (EnteroBase) for allele and sequence type determination for C. difficile are currently available. Proof-of-concept WGS studies have already enabled advances in the investigation of the population structure of C. difficile species, microevolution within the epidemic strains, intercontinental transmission over time and in tracking of transmission events. WGS of clinical C. difficile isolates demonstrated a considerable genetic diversity suggesting diverse reservoirs for CDI. WGS was also shown to aid in resolving relapses and reinfections in recurrent CDI and has potential for use as a tool for assessing hospital infection prevention and control performance. Frontiers Media S.A. 2019-10-24 /pmc/articles/PMC6821651/ /pubmed/31709221 http://dx.doi.org/10.3389/fpubh.2019.00309 Text en Copyright © 2019 Janezic and Rupnik. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Public Health Janezic, Sandra Rupnik, Maja Development and Implementation of Whole Genome Sequencing-Based Typing Schemes for Clostridioides difficile |
title | Development and Implementation of Whole Genome Sequencing-Based Typing Schemes for Clostridioides difficile |
title_full | Development and Implementation of Whole Genome Sequencing-Based Typing Schemes for Clostridioides difficile |
title_fullStr | Development and Implementation of Whole Genome Sequencing-Based Typing Schemes for Clostridioides difficile |
title_full_unstemmed | Development and Implementation of Whole Genome Sequencing-Based Typing Schemes for Clostridioides difficile |
title_short | Development and Implementation of Whole Genome Sequencing-Based Typing Schemes for Clostridioides difficile |
title_sort | development and implementation of whole genome sequencing-based typing schemes for clostridioides difficile |
topic | Public Health |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6821651/ https://www.ncbi.nlm.nih.gov/pubmed/31709221 http://dx.doi.org/10.3389/fpubh.2019.00309 |
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