Design and evaluation of synthetic bacterial consortia for optimized phenanthrene degradation through the integration of genomics and shotgun proteomics
- Autores
- Macchi, Marianela; Festa, Sabrina; Nieto, Esteban Emanuel; Irazoqui, José M.; Vega Vela, Nelson E.; Junca, Howard; Valacco, María P.; Amadio, Ariel F.; Morelli, Irma Susana; Coppotelli, Bibiana Marina
- Año de publicación
- 2021
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- Two synthetic bacterial consortia (SC) composed of bacterial strains Sphingobium sp. (AM), Klebsiella aerogenes (B), Pseudomonas sp. (Bc-h and T), Burkholderia sp. (Bk) and Inquilinus limosus (Inq) isolated from a natural phenanthrene (PHN)-degrading consortium (CON) were developed and evaluated as an alternative approach to PHN biodegradation in bioremediation processes. A metabolic network showing the potential role of strains was reconstructed by in silico study of the six genomes and classification of dioxygenase enzymes using RHObase and AromaDeg databases. Network analysis suggested that AM and Bk were responsible for PHN initial attack, while Inq, B, T and Bc-h would degrade PHN metabolites. The predicted roles were further confirmed by physiological, RT-qPCR and metaproteomic assays. SC-1 with AM as the sole PHN degrader was the most efficient. The ecological roles inferred in this study can be applied to optimize the design of bacterial consortia and tackle the biodegradation of complex environmental pollutants.
Centro de Investigación y Desarrollo en Fermentaciones Industriales
Comisión de Investigaciones Científicas de la provincia de Buenos Aires - Materia
-
Química
Synthetic bacterial consortia (SC)
Whole genome sequencing
Metabolic network
RT-qPCR
Shotgun proteomics
Polycyclic aromatic hydrocarbon (PAH) - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- http://creativecommons.org/licenses/by-nc-nd/4.0/
- Repositorio
- Institución
- Universidad Nacional de La Plata
- OAI Identificador
- oai:sedici.unlp.edu.ar:10915/118814
Ver los metadatos del registro completo
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Design and evaluation of synthetic bacterial consortia for optimized phenanthrene degradation through the integration of genomics and shotgun proteomicsMacchi, MarianelaFesta, SabrinaNieto, Esteban EmanuelIrazoqui, José M.Vega Vela, Nelson E.Junca, HowardValacco, María P.Amadio, Ariel F.Morelli, Irma SusanaCoppotelli, Bibiana MarinaQuímicaSynthetic bacterial consortia (SC)Whole genome sequencingMetabolic networkRT-qPCRShotgun proteomicsPolycyclic aromatic hydrocarbon (PAH)Two synthetic bacterial consortia (SC) composed of bacterial strains Sphingobium sp. (AM), Klebsiella aerogenes (B), Pseudomonas sp. (Bc-h and T), Burkholderia sp. (Bk) and Inquilinus limosus (Inq) isolated from a natural phenanthrene (PHN)-degrading consortium (CON) were developed and evaluated as an alternative approach to PHN biodegradation in bioremediation processes. A metabolic network showing the potential role of strains was reconstructed by in silico study of the six genomes and classification of dioxygenase enzymes using RHObase and AromaDeg databases. Network analysis suggested that AM and Bk were responsible for PHN initial attack, while Inq, B, T and Bc-h would degrade PHN metabolites. The predicted roles were further confirmed by physiological, RT-qPCR and metaproteomic assays. SC-1 with AM as the sole PHN degrader was the most efficient. The ecological roles inferred in this study can be applied to optimize the design of bacterial consortia and tackle the biodegradation of complex environmental pollutants.Centro de Investigación y Desarrollo en Fermentaciones IndustrialesComisión de Investigaciones Científicas de la provincia de Buenos Aires2021info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionArticulohttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfhttp://sedici.unlp.edu.ar/handle/10915/118814enginfo:eu-repo/semantics/altIdentifier/issn/2215-017Xinfo:eu-repo/semantics/altIdentifier/doi/10.1016/j.btre.2021.e00588info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-nd/4.0/Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-09-29T11:27:59Zoai:sedici.unlp.edu.ar:10915/118814Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-29 11:27:59.89SEDICI (UNLP) - Universidad Nacional de La Platafalse |
dc.title.none.fl_str_mv |
Design and evaluation of synthetic bacterial consortia for optimized phenanthrene degradation through the integration of genomics and shotgun proteomics |
title |
Design and evaluation of synthetic bacterial consortia for optimized phenanthrene degradation through the integration of genomics and shotgun proteomics |
spellingShingle |
Design and evaluation of synthetic bacterial consortia for optimized phenanthrene degradation through the integration of genomics and shotgun proteomics Macchi, Marianela Química Synthetic bacterial consortia (SC) Whole genome sequencing Metabolic network RT-qPCR Shotgun proteomics Polycyclic aromatic hydrocarbon (PAH) |
title_short |
Design and evaluation of synthetic bacterial consortia for optimized phenanthrene degradation through the integration of genomics and shotgun proteomics |
title_full |
Design and evaluation of synthetic bacterial consortia for optimized phenanthrene degradation through the integration of genomics and shotgun proteomics |
title_fullStr |
Design and evaluation of synthetic bacterial consortia for optimized phenanthrene degradation through the integration of genomics and shotgun proteomics |
title_full_unstemmed |
Design and evaluation of synthetic bacterial consortia for optimized phenanthrene degradation through the integration of genomics and shotgun proteomics |
title_sort |
Design and evaluation of synthetic bacterial consortia for optimized phenanthrene degradation through the integration of genomics and shotgun proteomics |
dc.creator.none.fl_str_mv |
Macchi, Marianela Festa, Sabrina Nieto, Esteban Emanuel Irazoqui, José M. Vega Vela, Nelson E. Junca, Howard Valacco, María P. Amadio, Ariel F. Morelli, Irma Susana Coppotelli, Bibiana Marina |
author |
Macchi, Marianela |
author_facet |
Macchi, Marianela Festa, Sabrina Nieto, Esteban Emanuel Irazoqui, José M. Vega Vela, Nelson E. Junca, Howard Valacco, María P. Amadio, Ariel F. Morelli, Irma Susana Coppotelli, Bibiana Marina |
author_role |
author |
author2 |
Festa, Sabrina Nieto, Esteban Emanuel Irazoqui, José M. Vega Vela, Nelson E. Junca, Howard Valacco, María P. Amadio, Ariel F. Morelli, Irma Susana Coppotelli, Bibiana Marina |
author2_role |
author author author author author author author author author |
dc.subject.none.fl_str_mv |
Química Synthetic bacterial consortia (SC) Whole genome sequencing Metabolic network RT-qPCR Shotgun proteomics Polycyclic aromatic hydrocarbon (PAH) |
topic |
Química Synthetic bacterial consortia (SC) Whole genome sequencing Metabolic network RT-qPCR Shotgun proteomics Polycyclic aromatic hydrocarbon (PAH) |
dc.description.none.fl_txt_mv |
Two synthetic bacterial consortia (SC) composed of bacterial strains Sphingobium sp. (AM), Klebsiella aerogenes (B), Pseudomonas sp. (Bc-h and T), Burkholderia sp. (Bk) and Inquilinus limosus (Inq) isolated from a natural phenanthrene (PHN)-degrading consortium (CON) were developed and evaluated as an alternative approach to PHN biodegradation in bioremediation processes. A metabolic network showing the potential role of strains was reconstructed by in silico study of the six genomes and classification of dioxygenase enzymes using RHObase and AromaDeg databases. Network analysis suggested that AM and Bk were responsible for PHN initial attack, while Inq, B, T and Bc-h would degrade PHN metabolites. The predicted roles were further confirmed by physiological, RT-qPCR and metaproteomic assays. SC-1 with AM as the sole PHN degrader was the most efficient. The ecological roles inferred in this study can be applied to optimize the design of bacterial consortia and tackle the biodegradation of complex environmental pollutants. Centro de Investigación y Desarrollo en Fermentaciones Industriales Comisión de Investigaciones Científicas de la provincia de Buenos Aires |
description |
Two synthetic bacterial consortia (SC) composed of bacterial strains Sphingobium sp. (AM), Klebsiella aerogenes (B), Pseudomonas sp. (Bc-h and T), Burkholderia sp. (Bk) and Inquilinus limosus (Inq) isolated from a natural phenanthrene (PHN)-degrading consortium (CON) were developed and evaluated as an alternative approach to PHN biodegradation in bioremediation processes. A metabolic network showing the potential role of strains was reconstructed by in silico study of the six genomes and classification of dioxygenase enzymes using RHObase and AromaDeg databases. Network analysis suggested that AM and Bk were responsible for PHN initial attack, while Inq, B, T and Bc-h would degrade PHN metabolites. The predicted roles were further confirmed by physiological, RT-qPCR and metaproteomic assays. SC-1 with AM as the sole PHN degrader was the most efficient. The ecological roles inferred in this study can be applied to optimize the design of bacterial consortia and tackle the biodegradation of complex environmental pollutants. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Articulo 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://sedici.unlp.edu.ar/handle/10915/118814 |
url |
http://sedici.unlp.edu.ar/handle/10915/118814 |
dc.language.none.fl_str_mv |
eng |
language |
eng |
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info:eu-repo/semantics/altIdentifier/issn/2215-017X info:eu-repo/semantics/altIdentifier/doi/10.1016/j.btre.2021.e00588 |
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openAccess |
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http://creativecommons.org/licenses/by-nc-nd/4.0/ Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) |
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