Prediction of the dynamic behavior of photoautotrophic growth of an oleaginous alga using a multiscale metabolic model

Background: The maximization of lipid productivity in microalgae is crucial for the biofuel industry and it can be achieved by manipulating their metabolism. However, little efforts have been made to apply metabolic models in a dynamic framework to predict possible outcomes to scenarios observed at...

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Autores:
Tibocha Bonilla, Juan David
Tipo de recurso:
Fecha de publicación:
2019
Institución:
Universidad Nacional de Colombia
Repositorio:
Universidad Nacional de Colombia
Idioma:
spa
OAI Identifier:
oai:repositorio.unal.edu.co:unal/76605
Acceso en línea:
https://repositorio.unal.edu.co/handle/unal/76605
http://bdigital.unal.edu.co/73176/
Palabra clave:
Oleaginous phototrophs
Lipid production
Constraint-based metabolic modeling
Central carbon metabolism
Fotótrofos oleaginosos
Producción de lípidos
Modelado metabólico basado en restricciones
Metabolismo central del carbono
Rights
openAccess
License
Atribución-NoComercial 4.0 Internacional
id UNACIONAL2_658440bb69c437763fdd5294c018219d
oai_identifier_str oai:repositorio.unal.edu.co:unal/76605
network_acronym_str UNACIONAL2
network_name_str Universidad Nacional de Colombia
repository_id_str
spelling Atribución-NoComercial 4.0 InternacionalDerechos reservados - Universidad Nacional de Colombiahttp://creativecommons.org/licenses/by-nc/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Godoy Silva, Ruben DarioZengler, KarstenTibocha Bonilla, Juan David77dbf29c-66da-4339-8fdb-e9fcd9ee40a73002020-03-30T06:23:07Z2020-03-30T06:23:07Z2019-06-17https://repositorio.unal.edu.co/handle/unal/76605http://bdigital.unal.edu.co/73176/Background: The maximization of lipid productivity in microalgae is crucial for the biofuel industry and it can be achieved by manipulating their metabolism. However, little efforts have been made to apply metabolic models in a dynamic framework to predict possible outcomes to scenarios observed at an industrial scale. Here we present a dynamic framework for the simulation of large-scale photobioreactors. The framework was generated by merging together the genome-scale metabolic model of Chlorella vulgaris (iCZ843) with reactor-scale parameters, thus yielding a multiscale model. Results: We used a multiscale model to predict growth trends under different light intensities and nitrogen concentrations. Simulations of lipid accumulation quantified the trade-off between growth and lipid biosynthesis under nitrogen limitation. Moreover, our modeling approach quantitatively predicted the dependence of microalgal metabolism on light intensity and circadian oscillations. Finally, we used our model to design a reactor irradiance profile that maximized lipid accumulation, thus achieving a lipid productivity increase of 46% at a constant intensity of 966 μE m^(-2) s^(-1). Conclusions: Here we generated a dynamic framework that combines the modeling of phenomena at both the genome and reactor scale. This multiscale model was employed to predict the sensitivity of growth and composition variation of C. vulgaris on light and nitrogen levels, as well as to find a suitable irradiance profile that maximizes lipid productivity. Our modeling framework elucidated how metabolism and external factors can be combined to predict optimized parameters for industrial applications.Maestríaapplication/pdfspaUniversidad Nacional de Colombia Sede Bogotá Facultad de Ingeniería Departamento de Ingeniería Química y AmbientalDepartamento de Ingeniería Química y Ambiental57 Ciencias de la vida; Biología / Life sciences; biology66 Ingeniería química y Tecnologías relacionadas/ Chemical engineeringTibocha Bonilla, Juan David (2019) Prediction of the dynamic behavior of photoautotrophic growth of an oleaginous alga using a multiscale metabolic model. Maestría thesis, Universidad Nacional de Colombia.Prediction of the dynamic behavior of photoautotrophic growth of an oleaginous alga using a multiscale metabolic modelTrabajo de grado - Maestríainfo:eu-repo/semantics/masterThesisinfo:eu-repo/semantics/acceptedVersionTexthttp://purl.org/redcol/resource_type/TMOleaginous phototrophsLipid productionConstraint-based metabolic modelingCentral carbon metabolismFotótrofos oleaginososProducción de lípidosModelado metabólico basado en restriccionesMetabolismo central del carbonoORIGINALThesis-ESP.pdfapplication/pdf2645624https://repositorio.unal.edu.co/bitstream/unal/76605/1/Thesis-ESP.pdfca1854d747c9e233b0cef475552d3903MD51THUMBNAILThesis-ESP.pdf.jpgThesis-ESP.pdf.jpgGenerated Thumbnailimage/jpeg6044https://repositorio.unal.edu.co/bitstream/unal/76605/2/Thesis-ESP.pdf.jpg44e1640e43b9d82f602c16f7beab4de5MD52unal/76605oai:repositorio.unal.edu.co:unal/766052024-07-14 01:02:39.516Repositorio Institucional Universidad Nacional de Colombiarepositorio_nal@unal.edu.co
dc.title.spa.fl_str_mv Prediction of the dynamic behavior of photoautotrophic growth of an oleaginous alga using a multiscale metabolic model
title Prediction of the dynamic behavior of photoautotrophic growth of an oleaginous alga using a multiscale metabolic model
spellingShingle Prediction of the dynamic behavior of photoautotrophic growth of an oleaginous alga using a multiscale metabolic model
Oleaginous phototrophs
Lipid production
Constraint-based metabolic modeling
Central carbon metabolism
Fotótrofos oleaginosos
Producción de lípidos
Modelado metabólico basado en restricciones
Metabolismo central del carbono
title_short Prediction of the dynamic behavior of photoautotrophic growth of an oleaginous alga using a multiscale metabolic model
title_full Prediction of the dynamic behavior of photoautotrophic growth of an oleaginous alga using a multiscale metabolic model
title_fullStr Prediction of the dynamic behavior of photoautotrophic growth of an oleaginous alga using a multiscale metabolic model
title_full_unstemmed Prediction of the dynamic behavior of photoautotrophic growth of an oleaginous alga using a multiscale metabolic model
title_sort Prediction of the dynamic behavior of photoautotrophic growth of an oleaginous alga using a multiscale metabolic model
dc.creator.fl_str_mv Tibocha Bonilla, Juan David
dc.contributor.author.spa.fl_str_mv Tibocha Bonilla, Juan David
dc.contributor.spa.fl_str_mv Godoy Silva, Ruben Dario
Zengler, Karsten
dc.subject.proposal.spa.fl_str_mv Oleaginous phototrophs
Lipid production
Constraint-based metabolic modeling
Central carbon metabolism
Fotótrofos oleaginosos
Producción de lípidos
Modelado metabólico basado en restricciones
Metabolismo central del carbono
topic Oleaginous phototrophs
Lipid production
Constraint-based metabolic modeling
Central carbon metabolism
Fotótrofos oleaginosos
Producción de lípidos
Modelado metabólico basado en restricciones
Metabolismo central del carbono
description Background: The maximization of lipid productivity in microalgae is crucial for the biofuel industry and it can be achieved by manipulating their metabolism. However, little efforts have been made to apply metabolic models in a dynamic framework to predict possible outcomes to scenarios observed at an industrial scale. Here we present a dynamic framework for the simulation of large-scale photobioreactors. The framework was generated by merging together the genome-scale metabolic model of Chlorella vulgaris (iCZ843) with reactor-scale parameters, thus yielding a multiscale model. Results: We used a multiscale model to predict growth trends under different light intensities and nitrogen concentrations. Simulations of lipid accumulation quantified the trade-off between growth and lipid biosynthesis under nitrogen limitation. Moreover, our modeling approach quantitatively predicted the dependence of microalgal metabolism on light intensity and circadian oscillations. Finally, we used our model to design a reactor irradiance profile that maximized lipid accumulation, thus achieving a lipid productivity increase of 46% at a constant intensity of 966 μE m^(-2) s^(-1). Conclusions: Here we generated a dynamic framework that combines the modeling of phenomena at both the genome and reactor scale. This multiscale model was employed to predict the sensitivity of growth and composition variation of C. vulgaris on light and nitrogen levels, as well as to find a suitable irradiance profile that maximizes lipid productivity. Our modeling framework elucidated how metabolism and external factors can be combined to predict optimized parameters for industrial applications.
publishDate 2019
dc.date.issued.spa.fl_str_mv 2019-06-17
dc.date.accessioned.spa.fl_str_mv 2020-03-30T06:23:07Z
dc.date.available.spa.fl_str_mv 2020-03-30T06:23:07Z
dc.type.spa.fl_str_mv Trabajo de grado - Maestría
dc.type.driver.spa.fl_str_mv info:eu-repo/semantics/masterThesis
dc.type.version.spa.fl_str_mv info:eu-repo/semantics/acceptedVersion
dc.type.content.spa.fl_str_mv Text
dc.type.redcol.spa.fl_str_mv http://purl.org/redcol/resource_type/TM
status_str acceptedVersion
dc.identifier.uri.none.fl_str_mv https://repositorio.unal.edu.co/handle/unal/76605
dc.identifier.eprints.spa.fl_str_mv http://bdigital.unal.edu.co/73176/
url https://repositorio.unal.edu.co/handle/unal/76605
http://bdigital.unal.edu.co/73176/
dc.language.iso.spa.fl_str_mv spa
language spa
dc.relation.ispartof.spa.fl_str_mv Universidad Nacional de Colombia Sede Bogotá Facultad de Ingeniería Departamento de Ingeniería Química y Ambiental
Departamento de Ingeniería Química y Ambiental
dc.relation.haspart.spa.fl_str_mv 57 Ciencias de la vida; Biología / Life sciences; biology
66 Ingeniería química y Tecnologías relacionadas/ Chemical engineering
dc.relation.references.spa.fl_str_mv Tibocha Bonilla, Juan David (2019) Prediction of the dynamic behavior of photoautotrophic growth of an oleaginous alga using a multiscale metabolic model. Maestría thesis, Universidad Nacional de Colombia.
dc.rights.spa.fl_str_mv Derechos reservados - Universidad Nacional de Colombia
dc.rights.coar.fl_str_mv http://purl.org/coar/access_right/c_abf2
dc.rights.license.spa.fl_str_mv Atribución-NoComercial 4.0 Internacional
dc.rights.uri.spa.fl_str_mv http://creativecommons.org/licenses/by-nc/4.0/
dc.rights.accessrights.spa.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv Atribución-NoComercial 4.0 Internacional
Derechos reservados - Universidad Nacional de Colombia
http://creativecommons.org/licenses/by-nc/4.0/
http://purl.org/coar/access_right/c_abf2
eu_rights_str_mv openAccess
dc.format.mimetype.spa.fl_str_mv application/pdf
institution Universidad Nacional de Colombia
bitstream.url.fl_str_mv https://repositorio.unal.edu.co/bitstream/unal/76605/1/Thesis-ESP.pdf
https://repositorio.unal.edu.co/bitstream/unal/76605/2/Thesis-ESP.pdf.jpg
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repository.name.fl_str_mv Repositorio Institucional Universidad Nacional de Colombia
repository.mail.fl_str_mv repositorio_nal@unal.edu.co
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