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Harmonized Genome Wide Typing of Tubercle Bacilli Using a Web-Based Gene-By-Gene Nomenclature System
BACKGROUND: Global tuberculosis (TB) control is challenged by uncontrolled transmission of Mycobacterium tuberculosis complex (Mtbc) strains, esp. of multidrug (MDR) or extensively resistant (XDR) variants. Precise analysis of transmission networks is the basis to trace outbreak M/XDR clones and imp...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6116475/ https://www.ncbi.nlm.nih.gov/pubmed/30115606 http://dx.doi.org/10.1016/j.ebiom.2018.07.030 |
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author | Kohl, Thomas A. Harmsen, Dag Rothgänger, Jörg Walker, Timothy Diel, Roland Niemann, Stefan |
author_facet | Kohl, Thomas A. Harmsen, Dag Rothgänger, Jörg Walker, Timothy Diel, Roland Niemann, Stefan |
author_sort | Kohl, Thomas A. |
collection | PubMed |
description | BACKGROUND: Global tuberculosis (TB) control is challenged by uncontrolled transmission of Mycobacterium tuberculosis complex (Mtbc) strains, esp. of multidrug (MDR) or extensively resistant (XDR) variants. Precise analysis of transmission networks is the basis to trace outbreak M/XDR clones and improve TB control. However, classical genotyping tools lack discriminatory power due to the high similarity of strains of particular successful lineages, e.g. Beijing or outbreak strains. This can be overcome by whole genome sequencing (WGS) approaches, but these are not yet standardized to facilitate larger investigations encompassing different laboratories or outbreak tracing across borders. METHODS: We established and improved a whole genome gene-by-gene multi locus sequence typing approach encompassing a stable set of core genome genes (cgMLST) and linked it to a web-based nomenclature server (cgMLST.org) facilitating assignment and storage of allele numbers. FINDINGS: We evaluated and refined a previously suggested cgMLST schema by using a reference strain set (n = 251) reflecting the global diversity of the Mtbc. A set of 2891 genes showed excellent performance with at least 97% of the genes reliably identified in strains of all Mtbc lineages and in discriminating outbreak strains. cgMLST allele numbers were automatically retrieved from and stored at cgMLST.org. INTERPRETATION: The refined cgMLST schema provides high resolution genome-based typing of clinical strains of all Mtbc lineages. Combined with a web-based nomenclature server, it facilitates rapid, high-resolution, and harmonized tracing of clinical Mtbc strains needed for prospective local and global surveillance. |
format | Online Article Text |
id | pubmed-6116475 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-61164752018-08-31 Harmonized Genome Wide Typing of Tubercle Bacilli Using a Web-Based Gene-By-Gene Nomenclature System Kohl, Thomas A. Harmsen, Dag Rothgänger, Jörg Walker, Timothy Diel, Roland Niemann, Stefan EBioMedicine Research Paper BACKGROUND: Global tuberculosis (TB) control is challenged by uncontrolled transmission of Mycobacterium tuberculosis complex (Mtbc) strains, esp. of multidrug (MDR) or extensively resistant (XDR) variants. Precise analysis of transmission networks is the basis to trace outbreak M/XDR clones and improve TB control. However, classical genotyping tools lack discriminatory power due to the high similarity of strains of particular successful lineages, e.g. Beijing or outbreak strains. This can be overcome by whole genome sequencing (WGS) approaches, but these are not yet standardized to facilitate larger investigations encompassing different laboratories or outbreak tracing across borders. METHODS: We established and improved a whole genome gene-by-gene multi locus sequence typing approach encompassing a stable set of core genome genes (cgMLST) and linked it to a web-based nomenclature server (cgMLST.org) facilitating assignment and storage of allele numbers. FINDINGS: We evaluated and refined a previously suggested cgMLST schema by using a reference strain set (n = 251) reflecting the global diversity of the Mtbc. A set of 2891 genes showed excellent performance with at least 97% of the genes reliably identified in strains of all Mtbc lineages and in discriminating outbreak strains. cgMLST allele numbers were automatically retrieved from and stored at cgMLST.org. INTERPRETATION: The refined cgMLST schema provides high resolution genome-based typing of clinical strains of all Mtbc lineages. Combined with a web-based nomenclature server, it facilitates rapid, high-resolution, and harmonized tracing of clinical Mtbc strains needed for prospective local and global surveillance. Elsevier 2018-08-13 /pmc/articles/PMC6116475/ /pubmed/30115606 http://dx.doi.org/10.1016/j.ebiom.2018.07.030 Text en Crown Copyright © 2018 Published by Elsevier B.V. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Research Paper Kohl, Thomas A. Harmsen, Dag Rothgänger, Jörg Walker, Timothy Diel, Roland Niemann, Stefan Harmonized Genome Wide Typing of Tubercle Bacilli Using a Web-Based Gene-By-Gene Nomenclature System |
title | Harmonized Genome Wide Typing of Tubercle Bacilli Using a Web-Based Gene-By-Gene Nomenclature System |
title_full | Harmonized Genome Wide Typing of Tubercle Bacilli Using a Web-Based Gene-By-Gene Nomenclature System |
title_fullStr | Harmonized Genome Wide Typing of Tubercle Bacilli Using a Web-Based Gene-By-Gene Nomenclature System |
title_full_unstemmed | Harmonized Genome Wide Typing of Tubercle Bacilli Using a Web-Based Gene-By-Gene Nomenclature System |
title_short | Harmonized Genome Wide Typing of Tubercle Bacilli Using a Web-Based Gene-By-Gene Nomenclature System |
title_sort | harmonized genome wide typing of tubercle bacilli using a web-based gene-by-gene nomenclature system |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6116475/ https://www.ncbi.nlm.nih.gov/pubmed/30115606 http://dx.doi.org/10.1016/j.ebiom.2018.07.030 |
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