Assessment of two new molecular based methods for identification of Candida parapsilosis sensu lato species

Autores
Garcia, Guillermo Manuel; Canton, Emilia; Pemán, Javier; Dilger, Amanda; Romá, Eva; Perlin, David S.
Año de publicación
2011
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Candida parapsilosis sensu stricto, C. orthopsilosis, and C. metapsilosis replaced C. parapsilosis groups I, II, and III in 2005. Since then, an increased interest in studying their epidemiology has arisen based on the observed differences in antifungal susceptibilities and virulence the three species. A strict differentiation of these species cannot be achieved by phenotypic methods. We evaluate two new molecular methodologies to differentiate among these species by the use of a collection of 293 bloodstream infection isolates of C. parapsilosis sensu lato. For the first method, the isolates were studied using PCR amplification of a fragment of the C. parapsilosis sensu lato FKS1 gene and a universal primer pair followed by EcoRI enzyme digestion. The other method used the allele discrimination ability of molecular beacons in a multiplex real-time PCR format. Both methods of identification showed 100% concordance with internal transcribed spacer 1 (ITS1)/ITS2 sequencing and proved to be effective for clinical applications, even with mixed-species DNAs.
Fil: Garcia, Guillermo Manuel. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. New Jersey Medical School. Public Health Research Institute; Estados Unidos
Fil: Canton, Emilia. Hospital Universitario La Fe. Centro de Investigación. Unidad de Microbiología Experimental; España
Fil: Pemán, Javier. Hospital Universitario La Fe. Servicio de Microbiología; España
Fil: Dilger, Amanda. New Jersey Medical School. Public Health Research Institute; Estados Unidos
Fil: Romá, Eva. Hospital Universitario La Fe. Servicio de Farmacia; España
Fil: Perlin, David S.. Public Health Research Institute; Estados Unidos
Materia
Parapsilosis
Identificacion
Molecular
Candida
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/14402
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/14402
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Assessment of two new molecular based methods for identification of Candida parapsilosis sensu lato speciesGarcia, Guillermo ManuelCanton, EmiliaPemán, JavierDilger, AmandaRomá, EvaPerlin, David S.ParapsilosisIdentificacionMolecularCandidahttps://purl.org/becyt/ford/3.3https://purl.org/becyt/ford/3Candida parapsilosis sensu stricto, C. orthopsilosis, and C. metapsilosis replaced C. parapsilosis groups I, II, and III in 2005. Since then, an increased interest in studying their epidemiology has arisen based on the observed differences in antifungal susceptibilities and virulence the three species. A strict differentiation of these species cannot be achieved by phenotypic methods. We evaluate two new molecular methodologies to differentiate among these species by the use of a collection of 293 bloodstream infection isolates of C. parapsilosis sensu lato. For the first method, the isolates were studied using PCR amplification of a fragment of the C. parapsilosis sensu lato FKS1 gene and a universal primer pair followed by EcoRI enzyme digestion. The other method used the allele discrimination ability of molecular beacons in a multiplex real-time PCR format. Both methods of identification showed 100% concordance with internal transcribed spacer 1 (ITS1)/ITS2 sequencing and proved to be effective for clinical applications, even with mixed-species DNAs.Fil: Garcia, Guillermo Manuel. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. New Jersey Medical School. Public Health Research Institute; Estados UnidosFil: Canton, Emilia. Hospital Universitario La Fe. Centro de Investigación. Unidad de Microbiología Experimental; EspañaFil: Pemán, Javier. Hospital Universitario La Fe. Servicio de Microbiología; EspañaFil: Dilger, Amanda. New Jersey Medical School. Public Health Research Institute; Estados UnidosFil: Romá, Eva. Hospital Universitario La Fe. Servicio de Farmacia; EspañaFil: Perlin, David S.. Public Health Research Institute; Estados UnidosAmerican Society For Microbiology2011-09info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/14402Garcia, Guillermo Manuel; Canton, Emilia; Pemán, Javier; Dilger, Amanda; Romá, Eva; et al.; Assessment of two new molecular based methods for identification of Candida parapsilosis sensu lato species; American Society For Microbiology; Journal Of Clinical Microbiology; 49; 9; 9-2011; 3257-32610095-1137enginfo:eu-repo/semantics/altIdentifier/doi/10.1128%2FJCM.00508-11info:eu-repo/semantics/altIdentifier/url/http://jcm.asm.org/content/49/9/3257info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:42:12Zoai:ri.conicet.gov.ar:11336/14402instacron: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:34982025-09-29 10:42:12.7CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Assessment of two new molecular based methods for identification of Candida parapsilosis sensu lato species
title Assessment of two new molecular based methods for identification of Candida parapsilosis sensu lato species
spellingShingle Assessment of two new molecular based methods for identification of Candida parapsilosis sensu lato species
Garcia, Guillermo Manuel
Parapsilosis
Identificacion
Molecular
Candida
title_short Assessment of two new molecular based methods for identification of Candida parapsilosis sensu lato species
title_full Assessment of two new molecular based methods for identification of Candida parapsilosis sensu lato species
title_fullStr Assessment of two new molecular based methods for identification of Candida parapsilosis sensu lato species
title_full_unstemmed Assessment of two new molecular based methods for identification of Candida parapsilosis sensu lato species
title_sort Assessment of two new molecular based methods for identification of Candida parapsilosis sensu lato species
dc.creator.none.fl_str_mv Garcia, Guillermo Manuel
Canton, Emilia
Pemán, Javier
Dilger, Amanda
Romá, Eva
Perlin, David S.
author Garcia, Guillermo Manuel
author_facet Garcia, Guillermo Manuel
Canton, Emilia
Pemán, Javier
Dilger, Amanda
Romá, Eva
Perlin, David S.
author_role author
author2 Canton, Emilia
Pemán, Javier
Dilger, Amanda
Romá, Eva
Perlin, David S.
author2_role author
author
author
author
author
dc.subject.none.fl_str_mv Parapsilosis
Identificacion
Molecular
Candida
topic Parapsilosis
Identificacion
Molecular
Candida
purl_subject.fl_str_mv https://purl.org/becyt/ford/3.3
https://purl.org/becyt/ford/3
dc.description.none.fl_txt_mv Candida parapsilosis sensu stricto, C. orthopsilosis, and C. metapsilosis replaced C. parapsilosis groups I, II, and III in 2005. Since then, an increased interest in studying their epidemiology has arisen based on the observed differences in antifungal susceptibilities and virulence the three species. A strict differentiation of these species cannot be achieved by phenotypic methods. We evaluate two new molecular methodologies to differentiate among these species by the use of a collection of 293 bloodstream infection isolates of C. parapsilosis sensu lato. For the first method, the isolates were studied using PCR amplification of a fragment of the C. parapsilosis sensu lato FKS1 gene and a universal primer pair followed by EcoRI enzyme digestion. The other method used the allele discrimination ability of molecular beacons in a multiplex real-time PCR format. Both methods of identification showed 100% concordance with internal transcribed spacer 1 (ITS1)/ITS2 sequencing and proved to be effective for clinical applications, even with mixed-species DNAs.
Fil: Garcia, Guillermo Manuel. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. New Jersey Medical School. Public Health Research Institute; Estados Unidos
Fil: Canton, Emilia. Hospital Universitario La Fe. Centro de Investigación. Unidad de Microbiología Experimental; España
Fil: Pemán, Javier. Hospital Universitario La Fe. Servicio de Microbiología; España
Fil: Dilger, Amanda. New Jersey Medical School. Public Health Research Institute; Estados Unidos
Fil: Romá, Eva. Hospital Universitario La Fe. Servicio de Farmacia; España
Fil: Perlin, David S.. Public Health Research Institute; Estados Unidos
description Candida parapsilosis sensu stricto, C. orthopsilosis, and C. metapsilosis replaced C. parapsilosis groups I, II, and III in 2005. Since then, an increased interest in studying their epidemiology has arisen based on the observed differences in antifungal susceptibilities and virulence the three species. A strict differentiation of these species cannot be achieved by phenotypic methods. We evaluate two new molecular methodologies to differentiate among these species by the use of a collection of 293 bloodstream infection isolates of C. parapsilosis sensu lato. For the first method, the isolates were studied using PCR amplification of a fragment of the C. parapsilosis sensu lato FKS1 gene and a universal primer pair followed by EcoRI enzyme digestion. The other method used the allele discrimination ability of molecular beacons in a multiplex real-time PCR format. Both methods of identification showed 100% concordance with internal transcribed spacer 1 (ITS1)/ITS2 sequencing and proved to be effective for clinical applications, even with mixed-species DNAs.
publishDate 2011
dc.date.none.fl_str_mv 2011-09
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/11336/14402
Garcia, Guillermo Manuel; Canton, Emilia; Pemán, Javier; Dilger, Amanda; Romá, Eva; et al.; Assessment of two new molecular based methods for identification of Candida parapsilosis sensu lato species; American Society For Microbiology; Journal Of Clinical Microbiology; 49; 9; 9-2011; 3257-3261
0095-1137
url http://hdl.handle.net/11336/14402
identifier_str_mv Garcia, Guillermo Manuel; Canton, Emilia; Pemán, Javier; Dilger, Amanda; Romá, Eva; et al.; Assessment of two new molecular based methods for identification of Candida parapsilosis sensu lato species; American Society For Microbiology; Journal Of Clinical Microbiology; 49; 9; 9-2011; 3257-3261
0095-1137
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1128%2FJCM.00508-11
info:eu-repo/semantics/altIdentifier/url/http://jcm.asm.org/content/49/9/3257
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 American Society For Microbiology
publisher.none.fl_str_mv American Society For Microbiology
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
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
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score 13.070432

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