Constraint-based modelling of mixed microbial populations: Application to polyhydroxyalkanoates production

Bibliographic Details
Main Author: Pardelha, Filipa Alexandra Guerreiro
Publication Date: 2013
Language: eng
Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Download full: http://hdl.handle.net/10362/13111
Summary: Dissertação para obtenção do Grau de Doutor em Engenharia Química e Bioquímica
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network_name_str Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
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spelling Constraint-based modelling of mixed microbial populations: Application to polyhydroxyalkanoates productionPolyhydroxyalkanoates (PHA)Mixed microbial culture (MMC)Fermented feedstockConstraint based modellingFlux balance analysis (FBA)Metabolic flux analysis (MFA)Dissertação para obtenção do Grau de Doutor em Engenharia Química e BioquímicaThe combined use of mixed microbial cultures (MMC) and fermented feedstock as substrate may significantly decrease polyhydroxyalkanoates (PHA) production costs and make them more competitive in relation to conventional petroleum-based polymers. However, there still exists a lack of knowledge at metabolic level that limits the development of strategies to make this process more effective. In this thesis, system biology computational tools were developed and applied to PHA production by MMC from fermented sugar cane molasses, rich in volatile fatty acids (VFA). Firstly, a metabolic network able to describe the uptake of complex mixtures of VFA and PHA production was defined. This metabolic network was applied to metabolic flux analysis (MFA) to describe substrate uptake and PHA production fluxes over the enrichment time of a culture submitted to the feast and famine regimen. Then, the minimization of the tricarboxylic acid cycle (TCA) fluxes was identified as the key metabolic objective of a MMC subjected to this regimen by flux balance analysis (FBA). This model enabled to predict, with an acceptable accuracy, the PHA fluxes and biopolymer composition. Subsequently, data gathered from microautoradiography-fluorescence in situ hybridization (MAR-FISH) was used to develop a segregated FBA model able to predict the flux distribution for the three populations identified in the enriched culture. These results were slightly better than those obtained by the non-segregated FBA and were consistent with MFA results. Finally, a dynamic metabolic model was proposed based on the previous models and on a regulatory factor for VFA uptake and PHA production. This model allowed to identify the dynamics of the process and regulatory factor as well as to validate the previous results. Globally, this thesis enabled to demonstrate the potential of using computational tools to understand and optimize PHA production by MMC.Faculdade de Ciências e TecnologiaReis, Maria d'AscensãoOliveira, RuiDias, JoãoRUNPardelha, Filipa Alexandra Guerreiro2014-09-16T08:49:47Z20132013-01-01T00:00:00Zdoctoral thesisinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://hdl.handle.net/10362/13111TID:101287020enginfo:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2024-05-22T17:16:49Zoai:run.unl.pt:10362/13111Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T16:47:33.206774Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
dc.title.none.fl_str_mv Constraint-based modelling of mixed microbial populations: Application to polyhydroxyalkanoates production
title Constraint-based modelling of mixed microbial populations: Application to polyhydroxyalkanoates production
spellingShingle Constraint-based modelling of mixed microbial populations: Application to polyhydroxyalkanoates production
Pardelha, Filipa Alexandra Guerreiro
Polyhydroxyalkanoates (PHA)
Mixed microbial culture (MMC)
Fermented feedstock
Constraint based modelling
Flux balance analysis (FBA)
Metabolic flux analysis (MFA)
title_short Constraint-based modelling of mixed microbial populations: Application to polyhydroxyalkanoates production
title_full Constraint-based modelling of mixed microbial populations: Application to polyhydroxyalkanoates production
title_fullStr Constraint-based modelling of mixed microbial populations: Application to polyhydroxyalkanoates production
title_full_unstemmed Constraint-based modelling of mixed microbial populations: Application to polyhydroxyalkanoates production
title_sort Constraint-based modelling of mixed microbial populations: Application to polyhydroxyalkanoates production
author Pardelha, Filipa Alexandra Guerreiro
author_facet Pardelha, Filipa Alexandra Guerreiro
author_role author
dc.contributor.none.fl_str_mv Reis, Maria d'Ascensão
Oliveira, Rui
Dias, João
RUN
dc.contributor.author.fl_str_mv Pardelha, Filipa Alexandra Guerreiro
dc.subject.por.fl_str_mv Polyhydroxyalkanoates (PHA)
Mixed microbial culture (MMC)
Fermented feedstock
Constraint based modelling
Flux balance analysis (FBA)
Metabolic flux analysis (MFA)
topic Polyhydroxyalkanoates (PHA)
Mixed microbial culture (MMC)
Fermented feedstock
Constraint based modelling
Flux balance analysis (FBA)
Metabolic flux analysis (MFA)
description Dissertação para obtenção do Grau de Doutor em Engenharia Química e Bioquímica
publishDate 2013
dc.date.none.fl_str_mv 2013
2013-01-01T00:00:00Z
2014-09-16T08:49:47Z
dc.type.driver.fl_str_mv doctoral thesis
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10362/13111
TID:101287020
url http://hdl.handle.net/10362/13111
identifier_str_mv TID:101287020
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Faculdade de Ciências e Tecnologia
publisher.none.fl_str_mv Faculdade de Ciências e Tecnologia
dc.source.none.fl_str_mv reponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron:RCAAP
instname_str FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron_str RCAAP
institution RCAAP
reponame_str Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
collection Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
repository.name.fl_str_mv Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
repository.mail.fl_str_mv info@rcaap.pt
_version_ 1833596196076126208

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