Comprehensive analysis of a Metabolic Model for lipid production in Rhodosporidium toruloides

Autores
Castañeda, María Teresita; Nuñez, Sebastián; Garelli, Fabricio; Voget, Claudio; De Battista, Hernán
Año de publicación
2018
Idioma
español castellano
Tipo de recurso
artículo
Estado
versión aceptada
Descripción
The yeast Rhodosporidium toruloides has been extensively studied for its application in biolipid production. The knowledge of its metabolism capabilities and the application of constraint-based flux analysis methodology provide useful information for process prediction and optimization. The accuracy of the resulting predictions is highly dependent on metabolic models. A metabolic reconstruction for R. toruloides metabolism has been recently published. On the basis of this model, we developed a curated version that unblocks the central nitrogen metabolism and, in addition, completes charge and mass balances insome reactions neglected in the former model. Then, a comprehensive analysis of network capability was performed with the curated model and compared with the published metabolic reconstruction. The flux distribution obtained bylipid optimization with Flux Balance Analysis was able to replicate the internal biochemical changes that lead to lipogenesis in oleaginous microorganisms. These results motivate the development of a genome-scale model for completeelucidation of R. toruloides metabolism.
Materia
Biotecnología Agropecuaria
metabolic modelling
lipid production
Rhodosporidium toruloides
Flux Balance Analysis
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-nd/4.0/
Repositorio
CIC Digital (CICBA)
Institución
Comisión de Investigaciones Científicas de la Provincia de Buenos Aires
OAI Identificador
oai:digital.cic.gba.gob.ar:11746/7752

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network_name_str CIC Digital (CICBA)
spelling Comprehensive analysis of a Metabolic Model for lipid production in Rhodosporidium toruloidesCastañeda, María TeresitaNuñez, SebastiánGarelli, FabricioVoget, ClaudioDe Battista, HernánBiotecnología Agropecuariametabolic modellinglipid productionRhodosporidium toruloidesFlux Balance AnalysisThe yeast Rhodosporidium toruloides has been extensively studied for its application in biolipid production. The knowledge of its metabolism capabilities and the application of constraint-based flux analysis methodology provide useful information for process prediction and optimization. The accuracy of the resulting predictions is highly dependent on metabolic models. A metabolic reconstruction for R. toruloides metabolism has been recently published. On the basis of this model, we developed a curated version that unblocks the central nitrogen metabolism and, in addition, completes charge and mass balances insome reactions neglected in the former model. Then, a comprehensive analysis of network capability was performed with the curated model and compared with the published metabolic reconstruction. The flux distribution obtained bylipid optimization with Flux Balance Analysis was able to replicate the internal biochemical changes that lead to lipogenesis in oleaginous microorganisms. These results motivate the development of a genome-scale model for completeelucidation of R. toruloides metabolism.2018-05info:eu-repo/semantics/articleinfo:eu-repo/semantics/acceptedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfhttps://digital.cic.gba.gob.ar/handle/11746/7752spaspainfo:eu-repo/semantics/altIdentifier/doi/10.1016/j.jbiotec.2018.05.010info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-nd/4.0/reponame:CIC Digital (CICBA)instname:Comisión de Investigaciones Científicas de la Provincia de Buenos Airesinstacron:CICBA2025-10-30T11:18:02Zoai:digital.cic.gba.gob.ar:11746/7752Institucionalhttp://digital.cic.gba.gob.arOrganismo científico-tecnológicoNo correspondehttp://digital.cic.gba.gob.ar/oai/snrdmarisa.degiusti@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:94412025-10-30 11:18:03.045CIC Digital (CICBA) - Comisión de Investigaciones Científicas de la Provincia de Buenos Airesfalse
dc.title.none.fl_str_mv Comprehensive analysis of a Metabolic Model for lipid production in Rhodosporidium toruloides
title Comprehensive analysis of a Metabolic Model for lipid production in Rhodosporidium toruloides
spellingShingle Comprehensive analysis of a Metabolic Model for lipid production in Rhodosporidium toruloides
Castañeda, María Teresita
Biotecnología Agropecuaria
metabolic modelling
lipid production
Rhodosporidium toruloides
Flux Balance Analysis
title_short Comprehensive analysis of a Metabolic Model for lipid production in Rhodosporidium toruloides
title_full Comprehensive analysis of a Metabolic Model for lipid production in Rhodosporidium toruloides
title_fullStr Comprehensive analysis of a Metabolic Model for lipid production in Rhodosporidium toruloides
title_full_unstemmed Comprehensive analysis of a Metabolic Model for lipid production in Rhodosporidium toruloides
title_sort Comprehensive analysis of a Metabolic Model for lipid production in Rhodosporidium toruloides
dc.creator.none.fl_str_mv Castañeda, María Teresita
Nuñez, Sebastián
Garelli, Fabricio
Voget, Claudio
De Battista, Hernán
author Castañeda, María Teresita
author_facet Castañeda, María Teresita
Nuñez, Sebastián
Garelli, Fabricio
Voget, Claudio
De Battista, Hernán
author_role author
author2 Nuñez, Sebastián
Garelli, Fabricio
Voget, Claudio
De Battista, Hernán
author2_role author
author
author
author
dc.subject.none.fl_str_mv Biotecnología Agropecuaria
metabolic modelling
lipid production
Rhodosporidium toruloides
Flux Balance Analysis
topic Biotecnología Agropecuaria
metabolic modelling
lipid production
Rhodosporidium toruloides
Flux Balance Analysis
dc.description.none.fl_txt_mv The yeast Rhodosporidium toruloides has been extensively studied for its application in biolipid production. The knowledge of its metabolism capabilities and the application of constraint-based flux analysis methodology provide useful information for process prediction and optimization. The accuracy of the resulting predictions is highly dependent on metabolic models. A metabolic reconstruction for R. toruloides metabolism has been recently published. On the basis of this model, we developed a curated version that unblocks the central nitrogen metabolism and, in addition, completes charge and mass balances insome reactions neglected in the former model. Then, a comprehensive analysis of network capability was performed with the curated model and compared with the published metabolic reconstruction. The flux distribution obtained bylipid optimization with Flux Balance Analysis was able to replicate the internal biochemical changes that lead to lipogenesis in oleaginous microorganisms. These results motivate the development of a genome-scale model for completeelucidation of R. toruloides metabolism.
description The yeast Rhodosporidium toruloides has been extensively studied for its application in biolipid production. The knowledge of its metabolism capabilities and the application of constraint-based flux analysis methodology provide useful information for process prediction and optimization. The accuracy of the resulting predictions is highly dependent on metabolic models. A metabolic reconstruction for R. toruloides metabolism has been recently published. On the basis of this model, we developed a curated version that unblocks the central nitrogen metabolism and, in addition, completes charge and mass balances insome reactions neglected in the former model. Then, a comprehensive analysis of network capability was performed with the curated model and compared with the published metabolic reconstruction. The flux distribution obtained bylipid optimization with Flux Balance Analysis was able to replicate the internal biochemical changes that lead to lipogenesis in oleaginous microorganisms. These results motivate the development of a genome-scale model for completeelucidation of R. toruloides metabolism.
publishDate 2018
dc.date.none.fl_str_mv 2018-05
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/acceptedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str acceptedVersion
dc.identifier.none.fl_str_mv https://digital.cic.gba.gob.ar/handle/11746/7752
url https://digital.cic.gba.gob.ar/handle/11746/7752
dc.language.none.fl_str_mv spa
spa
language spa
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1016/j.jbiotec.2018.05.010
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-nd/4.0/
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-nd/4.0/
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dc.source.none.fl_str_mv reponame:CIC Digital (CICBA)
instname:Comisión de Investigaciones Científicas de la Provincia de Buenos Aires
instacron:CICBA
reponame_str CIC Digital (CICBA)
collection CIC Digital (CICBA)
instname_str Comisión de Investigaciones Científicas de la Provincia de Buenos Aires
instacron_str CICBA
institution CICBA
repository.name.fl_str_mv CIC Digital (CICBA) - Comisión de Investigaciones Científicas de la Provincia de Buenos Aires
repository.mail.fl_str_mv marisa.degiusti@sedici.unlp.edu.ar
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