Resolving lineage assignation on Mycobacterium tuberculosis clinical isolates classified by spoligotyping with a new high-throughput 3R SNPs based method
We developed a new multiplexed-PCR assay to accurately classify Mycobacterium tuberculosis complex (MTC) isolates at the sublineage level by single nucleotide polymorphisms (SNPs). This method relies on 7 SNPs located in different genes of the MTC strains (recC, rec0, recR, ligB, ligC, alkA, and mgt...
| Autores: | , , , , , , , , , , |
|---|---|
| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2010 |
| País: | Argentina |
| Institución: | Consejo Nacional de Investigaciones Científicas y Técnicas |
| Repositorio: | CONICET Digital (CONICET) |
| Idioma: | inglés |
| OAI Identifier: | oai:ri.conicet.gov.ar:11336/189442 |
| Acceso en línea: | http://hdl.handle.net/11336/189442 |
| Access Level: | acceso abierto |
| Palabra clave: | CRISPR EVOLUTION HIGH-THROUGHPUT MULTIPLEX MYCOBACTERIUM TUBERCULOSIS COMPLEX PHYLOGENY POPULATION STUDIES SNPS SPOLIGOTYPING https://purl.org/becyt/ford/1.6 https://purl.org/becyt/ford/1 https://purl.org/becyt/ford/3.3 https://purl.org/becyt/ford/3 |
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Argentina |
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| dc.title.none.fl_str_mv |
Resolving lineage assignation on Mycobacterium tuberculosis clinical isolates classified by spoligotyping with a new high-throughput 3R SNPs based method |
| title |
Resolving lineage assignation on Mycobacterium tuberculosis clinical isolates classified by spoligotyping with a new high-throughput 3R SNPs based method |
| spellingShingle |
Resolving lineage assignation on Mycobacterium tuberculosis clinical isolates classified by spoligotyping with a new high-throughput 3R SNPs based method Abadia, Edgar CRISPR EVOLUTION HIGH-THROUGHPUT MULTIPLEX MYCOBACTERIUM TUBERCULOSIS COMPLEX PHYLOGENY POPULATION STUDIES SNPS SPOLIGOTYPING https://purl.org/becyt/ford/1.6 https://purl.org/becyt/ford/1 https://purl.org/becyt/ford/1.6 https://purl.org/becyt/ford/1 https://purl.org/becyt/ford/3.3 https://purl.org/becyt/ford/3 |
| title_short |
Resolving lineage assignation on Mycobacterium tuberculosis clinical isolates classified by spoligotyping with a new high-throughput 3R SNPs based method |
| title_full |
Resolving lineage assignation on Mycobacterium tuberculosis clinical isolates classified by spoligotyping with a new high-throughput 3R SNPs based method |
| title_fullStr |
Resolving lineage assignation on Mycobacterium tuberculosis clinical isolates classified by spoligotyping with a new high-throughput 3R SNPs based method |
| title_full_unstemmed |
Resolving lineage assignation on Mycobacterium tuberculosis clinical isolates classified by spoligotyping with a new high-throughput 3R SNPs based method |
| title_sort |
Resolving lineage assignation on Mycobacterium tuberculosis clinical isolates classified by spoligotyping with a new high-throughput 3R SNPs based method |
| dc.creator.none.fl_str_mv |
Abadia, Edgar Zhang, Jian dos Vultos, Tiago Ritacco, Gloria Viviana Kremer, Kristin Aktas, Elif Matsumoto, Tomoshige Refregier, Guislaine van Soolingen , Dick Gicquel, Brigitte Sola, Christophe |
| author |
Abadia, Edgar |
| author_facet |
Abadia, Edgar Zhang, Jian dos Vultos, Tiago Ritacco, Gloria Viviana Kremer, Kristin Aktas, Elif Matsumoto, Tomoshige Refregier, Guislaine van Soolingen , Dick Gicquel, Brigitte Sola, Christophe |
| author_role |
author |
| author2 |
Zhang, Jian dos Vultos, Tiago Ritacco, Gloria Viviana Kremer, Kristin Aktas, Elif Matsumoto, Tomoshige Refregier, Guislaine van Soolingen , Dick Gicquel, Brigitte Sola, Christophe |
| author2_role |
author author author author author author author author author author |
| dc.subject.none.fl_str_mv |
CRISPR EVOLUTION HIGH-THROUGHPUT MULTIPLEX MYCOBACTERIUM TUBERCULOSIS COMPLEX PHYLOGENY POPULATION STUDIES SNPS SPOLIGOTYPING https://purl.org/becyt/ford/1.6 https://purl.org/becyt/ford/1 https://purl.org/becyt/ford/1.6 https://purl.org/becyt/ford/1 https://purl.org/becyt/ford/3.3 https://purl.org/becyt/ford/3 |
| topic |
CRISPR EVOLUTION HIGH-THROUGHPUT MULTIPLEX MYCOBACTERIUM TUBERCULOSIS COMPLEX PHYLOGENY POPULATION STUDIES SNPS SPOLIGOTYPING https://purl.org/becyt/ford/1.6 https://purl.org/becyt/ford/1 https://purl.org/becyt/ford/1.6 https://purl.org/becyt/ford/1 https://purl.org/becyt/ford/3.3 https://purl.org/becyt/ford/3 |
| description |
We developed a new multiplexed-PCR assay to accurately classify Mycobacterium tuberculosis complex (MTC) isolates at the sublineage level by single nucleotide polymorphisms (SNPs). This method relies on 7 SNPs located in different genes of the MTC strains (recC, rec0, recR, ligB, ligC, alkA, and mgtC). Most of these genes are involved in replication, repair and recombination (3R) functions of M. tuberculosis strains, four of the mutations are synonymous, and thus neutral. Genes were chosen as a first empirical approach to assess the congruence between spoligotyping-based phylogeographical classification and SNP typing.This scheme efficiently classifies most of MTC phylogeographical groups: (1) confirming and identifying new sublineage-specific SNPs, (2) unraveling phylogenetical relationships between spoligotyping-defined MTC sublineages, (3) appropriately assigning sublineages to some spoligotypes and reassigning sublineages to other mis-labeled spoligotype signatures. This study opens the way to a more meaningful taxonomic, evolutionary and epidemiological classification. It also allows evaluation of spoligotype-signature significance towards a more comprehensive understanding of the evolutionary mechanisms of the clustered regularly interspaced short palindromic repeat (CRISPR) locus in MTC. |
| publishDate |
2010 |
| dc.date.none.fl_str_mv |
2010-07 |
| dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://purl.org/coar/resource_type/c_6501 info:ar-repo/semantics/articulo |
| format |
article |
| status_str |
publishedVersion |
| dc.identifier.none.fl_str_mv |
http://hdl.handle.net/11336/189442 Abadia, Edgar; Zhang, Jian; dos Vultos, Tiago; Ritacco, Gloria Viviana; Kremer, Kristin; et al.; Resolving lineage assignation on Mycobacterium tuberculosis clinical isolates classified by spoligotyping with a new high-throughput 3R SNPs based method; Elsevier Science; Infection, Genetics and Evolution; 10; 7; 7-2010; 1066-1074 1567-1348 CONICET Digital CONICET |
| url |
http://hdl.handle.net/11336/189442 |
| identifier_str_mv |
Abadia, Edgar; Zhang, Jian; dos Vultos, Tiago; Ritacco, Gloria Viviana; Kremer, Kristin; et al.; Resolving lineage assignation on Mycobacterium tuberculosis clinical isolates classified by spoligotyping with a new high-throughput 3R SNPs based method; Elsevier Science; Infection, Genetics and Evolution; 10; 7; 7-2010; 1066-1074 1567-1348 CONICET Digital CONICET |
| dc.language.none.fl_str_mv |
eng |
| language |
eng |
| dc.relation.none.fl_str_mv |
info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S1567134810001942 info:eu-repo/semantics/altIdentifier/doi/10.1016/j.meegid.2010.07.006 |
| dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ |
| eu_rights_str_mv |
openAccess |
| rights_invalid_str_mv |
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ |
| dc.format.none.fl_str_mv |
application/pdf application/pdf |
| dc.publisher.none.fl_str_mv |
Elsevier Science |
| publisher.none.fl_str_mv |
Elsevier Science |
| dc.source.none.fl_str_mv |
reponame:CONICET Digital (CONICET) instname:Consejo Nacional de Investigaciones Científicas y Técnicas |
| instname_str |
Consejo Nacional de Investigaciones Científicas y Técnicas |
| reponame_str |
CONICET Digital (CONICET) |
| collection |
CONICET Digital (CONICET) |
| repository.name.fl_str_mv |
CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas |
| repository.mail.fl_str_mv |
dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar |
| _version_ |
1799194601989341184 |
| spelling |
Resolving lineage assignation on Mycobacterium tuberculosis clinical isolates classified by spoligotyping with a new high-throughput 3R SNPs based methodAbadia, EdgarZhang, Jiandos Vultos, TiagoRitacco, Gloria VivianaKremer, KristinAktas, ElifMatsumoto, TomoshigeRefregier, Guislainevan Soolingen , DickGicquel, BrigitteSola, ChristopheCRISPREVOLUTIONHIGH-THROUGHPUTMULTIPLEXMYCOBACTERIUM TUBERCULOSIS COMPLEXPHYLOGENYPOPULATION STUDIESSNPSSPOLIGOTYPINGhttps://purl.org/becyt/ford/1.6https://purl.org/becyt/ford/1https://purl.org/becyt/ford/1.6https://purl.org/becyt/ford/1https://purl.org/becyt/ford/3.3https://purl.org/becyt/ford/3We developed a new multiplexed-PCR assay to accurately classify Mycobacterium tuberculosis complex (MTC) isolates at the sublineage level by single nucleotide polymorphisms (SNPs). This method relies on 7 SNPs located in different genes of the MTC strains (recC, rec0, recR, ligB, ligC, alkA, and mgtC). Most of these genes are involved in replication, repair and recombination (3R) functions of M. tuberculosis strains, four of the mutations are synonymous, and thus neutral. Genes were chosen as a first empirical approach to assess the congruence between spoligotyping-based phylogeographical classification and SNP typing.This scheme efficiently classifies most of MTC phylogeographical groups: (1) confirming and identifying new sublineage-specific SNPs, (2) unraveling phylogenetical relationships between spoligotyping-defined MTC sublineages, (3) appropriately assigning sublineages to some spoligotypes and reassigning sublineages to other mis-labeled spoligotype signatures. This study opens the way to a more meaningful taxonomic, evolutionary and epidemiological classification. It also allows evaluation of spoligotype-signature significance towards a more comprehensive understanding of the evolutionary mechanisms of the clustered regularly interspaced short palindromic repeat (CRISPR) locus in MTC.Fil: Abadia, Edgar. Université de Paris XI; FranciaFil: Zhang, Jian. Université de Paris XI; FranciaFil: dos Vultos, Tiago. Instituto Pasteur; FranciaFil: Ritacco, Gloria Viviana. Dirección Nacional de Institutos de Investigación. Administración Nacional de Laboratorios e Institutos de Salud. Instituto Nacional de Enfermedades Infecciosas; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Kremer, Kristin. National Institute Of Public Health And The Environment; Países BajosFil: Aktas, Elif. Inonu University Medical Faculty; TurquíaFil: Matsumoto, Tomoshige. onguldak Karaelmas University Hospital; JapónFil: Refregier, Guislaine. Université de Paris XI; FranciaFil: van Soolingen , Dick. National Institute Of Public Health And The Environment; Países BajosFil: Gicquel, Brigitte. Instituto Pasteur; FranciaFil: Sola, Christophe. Université de Paris XI; FranciaElsevier Science2010-07info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/189442Abadia, Edgar; Zhang, Jian; dos Vultos, Tiago; Ritacco, Gloria Viviana; Kremer, Kristin; et al.; Resolving lineage assignation on Mycobacterium tuberculosis clinical isolates classified by spoligotyping with a new high-throughput 3R SNPs based method; Elsevier Science; Infection, Genetics and Evolution; 10; 7; 7-2010; 1066-10741567-1348CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S1567134810001942info:eu-repo/semantics/altIdentifier/doi/10.1016/j.meegid.2010.07.006info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2024-05-08T13:32:34Zoai:ri.conicet.gov.ar:11336/189442instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982024-05-08 13:32:34.541CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
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15,812455 |