Cargando…

Computational and Experimental Analysis of Redundancy in the Central Metabolism of Geobacter sulfurreducens

Previous model-based analysis of the metabolic network of Geobacter sulfurreducens suggested the existence of several redundant pathways. Here, we identified eight sets of redundant pathways that included redundancy for the assimilation of acetate, and for the conversion of pyruvate into acetyl-CoA....

Descripción completa

Detalles Bibliográficos
Autores principales: Segura, Daniel, Mahadevan, Radhakrishnan, Juárez, Katy, Lovley, Derek R
Formato: Texto
Lenguaje:English
Publicado: Public Library of Science 2008
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2233667/
https://www.ncbi.nlm.nih.gov/pubmed/18266464
http://dx.doi.org/10.1371/journal.pcbi.0040036
_version_ 1782150278895632384
author Segura, Daniel
Mahadevan, Radhakrishnan
Juárez, Katy
Lovley, Derek R
author_facet Segura, Daniel
Mahadevan, Radhakrishnan
Juárez, Katy
Lovley, Derek R
author_sort Segura, Daniel
collection PubMed
description Previous model-based analysis of the metabolic network of Geobacter sulfurreducens suggested the existence of several redundant pathways. Here, we identified eight sets of redundant pathways that included redundancy for the assimilation of acetate, and for the conversion of pyruvate into acetyl-CoA. These equivalent pathways and two other sub-optimal pathways were studied using 5 single-gene deletion mutants in those pathways for the evaluation of the predictive capacity of the model. The growth phenotypes of these mutants were studied under 12 different conditions of electron donor and acceptor availability. The comparison of the model predictions with the resulting experimental phenotypes indicated that pyruvate ferredoxin oxidoreductase is the only activity able to convert pyruvate into acetyl-CoA. However, the results and the modeling showed that the two acetate activation pathways present are not only active, but needed due to the additional role of the acetyl-CoA transferase in the TCA cycle, probably reflecting the adaptation of these bacteria to acetate utilization. In other cases, the data reconciliation suggested additional capacity constraints that were confirmed with biochemical assays. The results demonstrate the need to experimentally verify the activity of key enzymes when developing in silico models of microbial physiology based on sequence-based reconstruction of metabolic networks.
format Text
id pubmed-2233667
institution National Center for Biotechnology Information
language English
publishDate 2008
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-22336672008-02-08 Computational and Experimental Analysis of Redundancy in the Central Metabolism of Geobacter sulfurreducens Segura, Daniel Mahadevan, Radhakrishnan Juárez, Katy Lovley, Derek R PLoS Comput Biol Research Article Previous model-based analysis of the metabolic network of Geobacter sulfurreducens suggested the existence of several redundant pathways. Here, we identified eight sets of redundant pathways that included redundancy for the assimilation of acetate, and for the conversion of pyruvate into acetyl-CoA. These equivalent pathways and two other sub-optimal pathways were studied using 5 single-gene deletion mutants in those pathways for the evaluation of the predictive capacity of the model. The growth phenotypes of these mutants were studied under 12 different conditions of electron donor and acceptor availability. The comparison of the model predictions with the resulting experimental phenotypes indicated that pyruvate ferredoxin oxidoreductase is the only activity able to convert pyruvate into acetyl-CoA. However, the results and the modeling showed that the two acetate activation pathways present are not only active, but needed due to the additional role of the acetyl-CoA transferase in the TCA cycle, probably reflecting the adaptation of these bacteria to acetate utilization. In other cases, the data reconciliation suggested additional capacity constraints that were confirmed with biochemical assays. The results demonstrate the need to experimentally verify the activity of key enzymes when developing in silico models of microbial physiology based on sequence-based reconstruction of metabolic networks. Public Library of Science 2008-02 2008-02-08 /pmc/articles/PMC2233667/ /pubmed/18266464 http://dx.doi.org/10.1371/journal.pcbi.0040036 Text en © 2008 Segura et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Segura, Daniel
Mahadevan, Radhakrishnan
Juárez, Katy
Lovley, Derek R
Computational and Experimental Analysis of Redundancy in the Central Metabolism of Geobacter sulfurreducens
title Computational and Experimental Analysis of Redundancy in the Central Metabolism of Geobacter sulfurreducens
title_full Computational and Experimental Analysis of Redundancy in the Central Metabolism of Geobacter sulfurreducens
title_fullStr Computational and Experimental Analysis of Redundancy in the Central Metabolism of Geobacter sulfurreducens
title_full_unstemmed Computational and Experimental Analysis of Redundancy in the Central Metabolism of Geobacter sulfurreducens
title_short Computational and Experimental Analysis of Redundancy in the Central Metabolism of Geobacter sulfurreducens
title_sort computational and experimental analysis of redundancy in the central metabolism of geobacter sulfurreducens
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2233667/
https://www.ncbi.nlm.nih.gov/pubmed/18266464
http://dx.doi.org/10.1371/journal.pcbi.0040036
work_keys_str_mv AT seguradaniel computationalandexperimentalanalysisofredundancyinthecentralmetabolismofgeobactersulfurreducens
AT mahadevanradhakrishnan computationalandexperimentalanalysisofredundancyinthecentralmetabolismofgeobactersulfurreducens
AT juarezkaty computationalandexperimentalanalysisofredundancyinthecentralmetabolismofgeobactersulfurreducens
AT lovleyderekr computationalandexperimentalanalysisofredundancyinthecentralmetabolismofgeobactersulfurreducens