Genetic identification and drug-resistance characterization of mycobacterium tuberculosis using a portable sequencing device. A pilot study
- Autores
- Cervantes, Jorge; Yokobori, Noemí; Hong, Bo Young
- Año de publicación
- 2020
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- Clinical management of tuberculosis (TB) in endemic areas is often challenged by a lack of resources including laboratories for Mycobacterium tuberculosis (Mtb) culture. Traditional phenotypic drug susceptibility testing for Mtb is costly and time consuming, while PCR-based methods are limited to selected target loci. We herein utilized a portable, USB-powered, long-read sequencing instrument (MinION), to investigate Mtb genomic DNA from clinical isolates to determine the presence of anti-TB drug-resistance conferring mutations. Data analysis platform EPI2ME and antibiotic-resistance analysis using the real time ARMA workflow, identified Mtb species as well as extensive resistance gene profiles. The approach was highly sensitive, being able to detect almost all described drug resistance conferring mutations based on previous whole genome sequencing analysis. Our findings are supportive of the practical use of this system as a suitable method for the detection of antimicrobial resistance genes, and effective in providing Mtb genomic information. Future improvements in the error rate through statistical analysis, drug resistance prediction algorithms and reference databases would make this a platform suited for the clinical setting. The small size, relatively inexpensive cost of the device, as well as its rapid and simple library preparation protocol and analysis, make it an attractive option for settings with limited laboratory infrastructure.
Fil: Cervantes, Jorge. Texas Tech University Health Sciences Center; Estados Unidos
Fil: Yokobori, Noemí. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Hong, Bo Young. The Jackson Laboratory for Genomic Medicine; Estados Unidos - Materia
-
DRUG RESISTANCE
MINION
NEXT-GENERATION SEQUENCING
TUBERCULOSIS - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by/2.5/ar/
- Repositorio
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/170039
Ver los metadatos del registro completo
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Genetic identification and drug-resistance characterization of mycobacterium tuberculosis using a portable sequencing device. A pilot studyCervantes, JorgeYokobori, NoemíHong, Bo YoungDRUG RESISTANCEMINIONNEXT-GENERATION SEQUENCINGTUBERCULOSIShttps://purl.org/becyt/ford/1.6https://purl.org/becyt/ford/1Clinical management of tuberculosis (TB) in endemic areas is often challenged by a lack of resources including laboratories for Mycobacterium tuberculosis (Mtb) culture. Traditional phenotypic drug susceptibility testing for Mtb is costly and time consuming, while PCR-based methods are limited to selected target loci. We herein utilized a portable, USB-powered, long-read sequencing instrument (MinION), to investigate Mtb genomic DNA from clinical isolates to determine the presence of anti-TB drug-resistance conferring mutations. Data analysis platform EPI2ME and antibiotic-resistance analysis using the real time ARMA workflow, identified Mtb species as well as extensive resistance gene profiles. The approach was highly sensitive, being able to detect almost all described drug resistance conferring mutations based on previous whole genome sequencing analysis. Our findings are supportive of the practical use of this system as a suitable method for the detection of antimicrobial resistance genes, and effective in providing Mtb genomic information. Future improvements in the error rate through statistical analysis, drug resistance prediction algorithms and reference databases would make this a platform suited for the clinical setting. The small size, relatively inexpensive cost of the device, as well as its rapid and simple library preparation protocol and analysis, make it an attractive option for settings with limited laboratory infrastructure.Fil: Cervantes, Jorge. Texas Tech University Health Sciences Center; Estados UnidosFil: Yokobori, Noemí. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Hong, Bo Young. The Jackson Laboratory for Genomic Medicine; Estados UnidosMDPI AG2020-09info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/170039Cervantes, Jorge; Yokobori, Noemí; Hong, Bo Young; Genetic identification and drug-resistance characterization of mycobacterium tuberculosis using a portable sequencing device. A pilot study; MDPI AG; Antibiotics; 9; 9; 9-2020; 1-152079-6382CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.mdpi.com/2079-6382/9/9/548info:eu-repo/semantics/altIdentifier/doi/10.3390/antibiotics9090548info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T10:06:45Zoai:ri.conicet.gov.ar:11336/170039instacron: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:34982025-09-03 10:06:45.994CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
dc.title.none.fl_str_mv |
Genetic identification and drug-resistance characterization of mycobacterium tuberculosis using a portable sequencing device. A pilot study |
title |
Genetic identification and drug-resistance characterization of mycobacterium tuberculosis using a portable sequencing device. A pilot study |
spellingShingle |
Genetic identification and drug-resistance characterization of mycobacterium tuberculosis using a portable sequencing device. A pilot study Cervantes, Jorge DRUG RESISTANCE MINION NEXT-GENERATION SEQUENCING TUBERCULOSIS |
title_short |
Genetic identification and drug-resistance characterization of mycobacterium tuberculosis using a portable sequencing device. A pilot study |
title_full |
Genetic identification and drug-resistance characterization of mycobacterium tuberculosis using a portable sequencing device. A pilot study |
title_fullStr |
Genetic identification and drug-resistance characterization of mycobacterium tuberculosis using a portable sequencing device. A pilot study |
title_full_unstemmed |
Genetic identification and drug-resistance characterization of mycobacterium tuberculosis using a portable sequencing device. A pilot study |
title_sort |
Genetic identification and drug-resistance characterization of mycobacterium tuberculosis using a portable sequencing device. A pilot study |
dc.creator.none.fl_str_mv |
Cervantes, Jorge Yokobori, Noemí Hong, Bo Young |
author |
Cervantes, Jorge |
author_facet |
Cervantes, Jorge Yokobori, Noemí Hong, Bo Young |
author_role |
author |
author2 |
Yokobori, Noemí Hong, Bo Young |
author2_role |
author author |
dc.subject.none.fl_str_mv |
DRUG RESISTANCE MINION NEXT-GENERATION SEQUENCING TUBERCULOSIS |
topic |
DRUG RESISTANCE MINION NEXT-GENERATION SEQUENCING TUBERCULOSIS |
purl_subject.fl_str_mv |
https://purl.org/becyt/ford/1.6 https://purl.org/becyt/ford/1 |
dc.description.none.fl_txt_mv |
Clinical management of tuberculosis (TB) in endemic areas is often challenged by a lack of resources including laboratories for Mycobacterium tuberculosis (Mtb) culture. Traditional phenotypic drug susceptibility testing for Mtb is costly and time consuming, while PCR-based methods are limited to selected target loci. We herein utilized a portable, USB-powered, long-read sequencing instrument (MinION), to investigate Mtb genomic DNA from clinical isolates to determine the presence of anti-TB drug-resistance conferring mutations. Data analysis platform EPI2ME and antibiotic-resistance analysis using the real time ARMA workflow, identified Mtb species as well as extensive resistance gene profiles. The approach was highly sensitive, being able to detect almost all described drug resistance conferring mutations based on previous whole genome sequencing analysis. Our findings are supportive of the practical use of this system as a suitable method for the detection of antimicrobial resistance genes, and effective in providing Mtb genomic information. Future improvements in the error rate through statistical analysis, drug resistance prediction algorithms and reference databases would make this a platform suited for the clinical setting. The small size, relatively inexpensive cost of the device, as well as its rapid and simple library preparation protocol and analysis, make it an attractive option for settings with limited laboratory infrastructure. Fil: Cervantes, Jorge. Texas Tech University Health Sciences Center; Estados Unidos Fil: Yokobori, Noemí. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina Fil: Hong, Bo Young. The Jackson Laboratory for Genomic Medicine; Estados Unidos |
description |
Clinical management of tuberculosis (TB) in endemic areas is often challenged by a lack of resources including laboratories for Mycobacterium tuberculosis (Mtb) culture. Traditional phenotypic drug susceptibility testing for Mtb is costly and time consuming, while PCR-based methods are limited to selected target loci. We herein utilized a portable, USB-powered, long-read sequencing instrument (MinION), to investigate Mtb genomic DNA from clinical isolates to determine the presence of anti-TB drug-resistance conferring mutations. Data analysis platform EPI2ME and antibiotic-resistance analysis using the real time ARMA workflow, identified Mtb species as well as extensive resistance gene profiles. The approach was highly sensitive, being able to detect almost all described drug resistance conferring mutations based on previous whole genome sequencing analysis. Our findings are supportive of the practical use of this system as a suitable method for the detection of antimicrobial resistance genes, and effective in providing Mtb genomic information. Future improvements in the error rate through statistical analysis, drug resistance prediction algorithms and reference databases would make this a platform suited for the clinical setting. The small size, relatively inexpensive cost of the device, as well as its rapid and simple library preparation protocol and analysis, make it an attractive option for settings with limited laboratory infrastructure. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-09 |
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/11336/170039 Cervantes, Jorge; Yokobori, Noemí; Hong, Bo Young; Genetic identification and drug-resistance characterization of mycobacterium tuberculosis using a portable sequencing device. A pilot study; MDPI AG; Antibiotics; 9; 9; 9-2020; 1-15 2079-6382 CONICET Digital CONICET |
url |
http://hdl.handle.net/11336/170039 |
identifier_str_mv |
Cervantes, Jorge; Yokobori, Noemí; Hong, Bo Young; Genetic identification and drug-resistance characterization of mycobacterium tuberculosis using a portable sequencing device. A pilot study; MDPI AG; Antibiotics; 9; 9; 9-2020; 1-15 2079-6382 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.mdpi.com/2079-6382/9/9/548 info:eu-repo/semantics/altIdentifier/doi/10.3390/antibiotics9090548 |
dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/2.5/ar/ |
eu_rights_str_mv |
openAccess |
rights_invalid_str_mv |
https://creativecommons.org/licenses/by/2.5/ar/ |
dc.format.none.fl_str_mv |
application/pdf application/pdf |
dc.publisher.none.fl_str_mv |
MDPI AG |
publisher.none.fl_str_mv |
MDPI AG |
dc.source.none.fl_str_mv |
reponame:CONICET Digital (CONICET) instname:Consejo Nacional de Investigaciones Científicas y Técnicas |
reponame_str |
CONICET Digital (CONICET) |
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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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13.13397 |