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...
- 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
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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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Repositorio Institucional Universidad Nacional de Colombia |
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