Identification of Antibiotic Resistance Gene Hosts in Treatment Wetlands Using a Single-Cell Based High-Throughput Approach

Autores
Knecht, Camila Ayelén; Hinkel, Maja; Mäusezahl, Ines; Kaster, Anne Kristin; Nivala, Jaime; Müller, Jochen A.
Año de publicación
2023
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Determining the prevalence of antimicrobial resistance (AMR) in non-clinical settings is vital for better management of the global AMR crisis. Untreated and even treated wastewaters are important sources that release AMR into the environment. Methodologically, it is difficult to generate a comprehensive in situ profile of antibiotic resistance gene hosts. Here, we used epicPCR (emulsion, paired isolation, and concatenation PCR) as a cultivation-independent method to reveal the host profiles of the AMR indicator genes intI1, sul1, sul2, and dfrA1 in two constructed wetlands treating municipal wastewater. Overall, the epicPCR analysis revealed a profile of AMR indicator gene hosts that is consistent with literature data from cultivation-based approaches. Most carriers of antibiotic resistance (AR) genes and likely of class 1 integrons belonged to the Gammaproteobateria, particularly the Burkholderiaceae and Rhodocyclaceae families, followed by members of the Campylobacterota, Desulfobacterota, and Firmicutes. The analysis also identified several novel hosts for the indicator genes widely distributed in the wetlands, including the genera Legionella and Ralstonia. Therefore, the application of epicPCR has produced an expanded insight into the in situ indicator gene host profile, while highlighting the role of the environment as a reservoir for AMR.
Fil: Knecht, Camila Ayelén. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Investigaciones en Microbiología y Parasitología Médica. Universidad de Buenos Aires. Facultad de Medicina. Instituto de Investigaciones en Microbiología y Parasitología Médica; Argentina
Fil: Hinkel, Maja. Helmholtz Centre for Environmental Research; Alemania
Fil: Mäusezahl, Ines. Helmholtz Centre for Environmental Research; Alemania
Fil: Kaster, Anne Kristin. Karlsruhe Institute of Technology; Alemania
Fil: Nivala, Jaime. Helmholtz Centre for Environmental Research; Alemania
Fil: Müller, Jochen A.. Karlsruhe Institute of Technology; Alemania
Materia
ANTIMICROBIAL RESISTANCE
CONSTRUCTED WETLAND
EPICPCR
SINGLE-CELL ANALYSIS
WASTEWATER
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/227759
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/227759
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Identification of Antibiotic Resistance Gene Hosts in Treatment Wetlands Using a Single-Cell Based High-Throughput ApproachKnecht, Camila AyelénHinkel, MajaMäusezahl, InesKaster, Anne KristinNivala, JaimeMüller, Jochen A.ANTIMICROBIAL RESISTANCECONSTRUCTED WETLANDEPICPCRSINGLE-CELL ANALYSISWASTEWATERhttps://purl.org/becyt/ford/2.8https://purl.org/becyt/ford/2Determining the prevalence of antimicrobial resistance (AMR) in non-clinical settings is vital for better management of the global AMR crisis. Untreated and even treated wastewaters are important sources that release AMR into the environment. Methodologically, it is difficult to generate a comprehensive in situ profile of antibiotic resistance gene hosts. Here, we used epicPCR (emulsion, paired isolation, and concatenation PCR) as a cultivation-independent method to reveal the host profiles of the AMR indicator genes intI1, sul1, sul2, and dfrA1 in two constructed wetlands treating municipal wastewater. Overall, the epicPCR analysis revealed a profile of AMR indicator gene hosts that is consistent with literature data from cultivation-based approaches. Most carriers of antibiotic resistance (AR) genes and likely of class 1 integrons belonged to the Gammaproteobateria, particularly the Burkholderiaceae and Rhodocyclaceae families, followed by members of the Campylobacterota, Desulfobacterota, and Firmicutes. The analysis also identified several novel hosts for the indicator genes widely distributed in the wetlands, including the genera Legionella and Ralstonia. Therefore, the application of epicPCR has produced an expanded insight into the in situ indicator gene host profile, while highlighting the role of the environment as a reservoir for AMR.Fil: Knecht, Camila Ayelén. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Investigaciones en Microbiología y Parasitología Médica. Universidad de Buenos Aires. Facultad de Medicina. Instituto de Investigaciones en Microbiología y Parasitología Médica; ArgentinaFil: Hinkel, Maja. Helmholtz Centre for Environmental Research; AlemaniaFil: Mäusezahl, Ines. Helmholtz Centre for Environmental Research; AlemaniaFil: Kaster, Anne Kristin. Karlsruhe Institute of Technology; AlemaniaFil: Nivala, Jaime. Helmholtz Centre for Environmental Research; AlemaniaFil: Müller, Jochen A.. Karlsruhe Institute of Technology; AlemaniaMDPI2023-06info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/227759Knecht, Camila Ayelén; Hinkel, Maja; Mäusezahl, Ines; Kaster, Anne Kristin; Nivala, Jaime; et al.; Identification of Antibiotic Resistance Gene Hosts in Treatment Wetlands Using a Single-Cell Based High-Throughput Approach; MDPI; Water; 15; 13; 6-2023; 1-162073-4441CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.mdpi.com/2073-4441/15/13/2432info:eu-repo/semantics/altIdentifier/doi/10.3390/w15132432info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T09:48:35Zoai:ri.conicet.gov.ar:11336/227759instacron: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 09:48:35.29CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Identification of Antibiotic Resistance Gene Hosts in Treatment Wetlands Using a Single-Cell Based High-Throughput Approach
title Identification of Antibiotic Resistance Gene Hosts in Treatment Wetlands Using a Single-Cell Based High-Throughput Approach
spellingShingle Identification of Antibiotic Resistance Gene Hosts in Treatment Wetlands Using a Single-Cell Based High-Throughput Approach
Knecht, Camila Ayelén
ANTIMICROBIAL RESISTANCE
CONSTRUCTED WETLAND
EPICPCR
SINGLE-CELL ANALYSIS
WASTEWATER
title_short Identification of Antibiotic Resistance Gene Hosts in Treatment Wetlands Using a Single-Cell Based High-Throughput Approach
title_full Identification of Antibiotic Resistance Gene Hosts in Treatment Wetlands Using a Single-Cell Based High-Throughput Approach
title_fullStr Identification of Antibiotic Resistance Gene Hosts in Treatment Wetlands Using a Single-Cell Based High-Throughput Approach
title_full_unstemmed Identification of Antibiotic Resistance Gene Hosts in Treatment Wetlands Using a Single-Cell Based High-Throughput Approach
title_sort Identification of Antibiotic Resistance Gene Hosts in Treatment Wetlands Using a Single-Cell Based High-Throughput Approach
dc.creator.none.fl_str_mv Knecht, Camila Ayelén
Hinkel, Maja
Mäusezahl, Ines
Kaster, Anne Kristin
Nivala, Jaime
Müller, Jochen A.
author Knecht, Camila Ayelén
author_facet Knecht, Camila Ayelén
Hinkel, Maja
Mäusezahl, Ines
Kaster, Anne Kristin
Nivala, Jaime
Müller, Jochen A.
author_role author
author2 Hinkel, Maja
Mäusezahl, Ines
Kaster, Anne Kristin
Nivala, Jaime
Müller, Jochen A.
author2_role author
author
author
author
author
dc.subject.none.fl_str_mv ANTIMICROBIAL RESISTANCE
CONSTRUCTED WETLAND
EPICPCR
SINGLE-CELL ANALYSIS
WASTEWATER
topic ANTIMICROBIAL RESISTANCE
CONSTRUCTED WETLAND
EPICPCR
SINGLE-CELL ANALYSIS
WASTEWATER
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.8
https://purl.org/becyt/ford/2
dc.description.none.fl_txt_mv Determining the prevalence of antimicrobial resistance (AMR) in non-clinical settings is vital for better management of the global AMR crisis. Untreated and even treated wastewaters are important sources that release AMR into the environment. Methodologically, it is difficult to generate a comprehensive in situ profile of antibiotic resistance gene hosts. Here, we used epicPCR (emulsion, paired isolation, and concatenation PCR) as a cultivation-independent method to reveal the host profiles of the AMR indicator genes intI1, sul1, sul2, and dfrA1 in two constructed wetlands treating municipal wastewater. Overall, the epicPCR analysis revealed a profile of AMR indicator gene hosts that is consistent with literature data from cultivation-based approaches. Most carriers of antibiotic resistance (AR) genes and likely of class 1 integrons belonged to the Gammaproteobateria, particularly the Burkholderiaceae and Rhodocyclaceae families, followed by members of the Campylobacterota, Desulfobacterota, and Firmicutes. The analysis also identified several novel hosts for the indicator genes widely distributed in the wetlands, including the genera Legionella and Ralstonia. Therefore, the application of epicPCR has produced an expanded insight into the in situ indicator gene host profile, while highlighting the role of the environment as a reservoir for AMR.
Fil: Knecht, Camila Ayelén. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Investigaciones en Microbiología y Parasitología Médica. Universidad de Buenos Aires. Facultad de Medicina. Instituto de Investigaciones en Microbiología y Parasitología Médica; Argentina
Fil: Hinkel, Maja. Helmholtz Centre for Environmental Research; Alemania
Fil: Mäusezahl, Ines. Helmholtz Centre for Environmental Research; Alemania
Fil: Kaster, Anne Kristin. Karlsruhe Institute of Technology; Alemania
Fil: Nivala, Jaime. Helmholtz Centre for Environmental Research; Alemania
Fil: Müller, Jochen A.. Karlsruhe Institute of Technology; Alemania
description Determining the prevalence of antimicrobial resistance (AMR) in non-clinical settings is vital for better management of the global AMR crisis. Untreated and even treated wastewaters are important sources that release AMR into the environment. Methodologically, it is difficult to generate a comprehensive in situ profile of antibiotic resistance gene hosts. Here, we used epicPCR (emulsion, paired isolation, and concatenation PCR) as a cultivation-independent method to reveal the host profiles of the AMR indicator genes intI1, sul1, sul2, and dfrA1 in two constructed wetlands treating municipal wastewater. Overall, the epicPCR analysis revealed a profile of AMR indicator gene hosts that is consistent with literature data from cultivation-based approaches. Most carriers of antibiotic resistance (AR) genes and likely of class 1 integrons belonged to the Gammaproteobateria, particularly the Burkholderiaceae and Rhodocyclaceae families, followed by members of the Campylobacterota, Desulfobacterota, and Firmicutes. The analysis also identified several novel hosts for the indicator genes widely distributed in the wetlands, including the genera Legionella and Ralstonia. Therefore, the application of epicPCR has produced an expanded insight into the in situ indicator gene host profile, while highlighting the role of the environment as a reservoir for AMR.
publishDate 2023
dc.date.none.fl_str_mv 2023-06
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/11336/227759
Knecht, Camila Ayelén; Hinkel, Maja; Mäusezahl, Ines; Kaster, Anne Kristin; Nivala, Jaime; et al.; Identification of Antibiotic Resistance Gene Hosts in Treatment Wetlands Using a Single-Cell Based High-Throughput Approach; MDPI; Water; 15; 13; 6-2023; 1-16
2073-4441
CONICET Digital
CONICET
url http://hdl.handle.net/11336/227759
identifier_str_mv Knecht, Camila Ayelén; Hinkel, Maja; Mäusezahl, Ines; Kaster, Anne Kristin; Nivala, Jaime; et al.; Identification of Antibiotic Resistance Gene Hosts in Treatment Wetlands Using a Single-Cell Based High-Throughput Approach; MDPI; Water; 15; 13; 6-2023; 1-16
2073-4441
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/2073-4441/15/13/2432
info:eu-repo/semantics/altIdentifier/doi/10.3390/w15132432
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
publisher.none.fl_str_mv MDPI
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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