Cargando…

Flux Balance Analysis of Ammonia Assimilation Network in E. coli Predicts Preferred Regulation Point

Nitrogen assimilation is a critical biological process for the synthesis of biomolecules in Escherichia coli. The central ammonium assimilation network in E. coli converts carbon skeleton α-ketoglutarate and ammonium into glutamate and glutamine, which further serve as nitrogen donors for nitrogen m...

Descripción completa

Detalles Bibliográficos
Autores principales: Wang, Lu, Lai, Luhua, Ouyang, Qi, Tang, Chao
Formato: Texto
Lenguaje:English
Publicado: Public Library of Science 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3026816/
https://www.ncbi.nlm.nih.gov/pubmed/21283535
http://dx.doi.org/10.1371/journal.pone.0016362
_version_ 1782197091343269888
author Wang, Lu
Lai, Luhua
Ouyang, Qi
Tang, Chao
author_facet Wang, Lu
Lai, Luhua
Ouyang, Qi
Tang, Chao
author_sort Wang, Lu
collection PubMed
description Nitrogen assimilation is a critical biological process for the synthesis of biomolecules in Escherichia coli. The central ammonium assimilation network in E. coli converts carbon skeleton α-ketoglutarate and ammonium into glutamate and glutamine, which further serve as nitrogen donors for nitrogen metabolism in the cell. This reaction network involves three enzymes: glutamate dehydrogenase (GDH), glutamine synthetase (GS) and glutamate synthase (GOGAT). In minimal media, E. coli tries to maintain an optimal growth rate by regulating the activity of the enzymes to match the availability of the external ammonia. The molecular mechanism and the strategy of the regulation in this network have been the research topics for many investigators. In this paper, we develop a flux balance model for the nitrogen metabolism, taking into account of the cellular composition and biosynthetic requirements for nitrogen. The model agrees well with known experimental results. Specifically, it reproduces all the (15)N isotope labeling experiments in the wild type and the two mutant (ΔGDH and ΔGOGAT) strains of E. coli. Furthermore, the predicted catalytic activities of GDH, GS and GOGAT in different ammonium concentrations and growth rates for the wild type, ΔGDH and ΔGOGAT strains agree well with the enzyme concentrations obtained from western blots. Based on this flux balance model, we show that GS is the preferred regulation point among the three enzymes in the nitrogen assimilation network. Our analysis reveals the pattern of regulation in this central and highly regulated network, thus providing insights into the regulation strategy adopted by the bacteria. Our model and methods may also be useful in future investigations in this and other networks.
format Text
id pubmed-3026816
institution National Center for Biotechnology Information
language English
publishDate 2011
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-30268162011-01-31 Flux Balance Analysis of Ammonia Assimilation Network in E. coli Predicts Preferred Regulation Point Wang, Lu Lai, Luhua Ouyang, Qi Tang, Chao PLoS One Research Article Nitrogen assimilation is a critical biological process for the synthesis of biomolecules in Escherichia coli. The central ammonium assimilation network in E. coli converts carbon skeleton α-ketoglutarate and ammonium into glutamate and glutamine, which further serve as nitrogen donors for nitrogen metabolism in the cell. This reaction network involves three enzymes: glutamate dehydrogenase (GDH), glutamine synthetase (GS) and glutamate synthase (GOGAT). In minimal media, E. coli tries to maintain an optimal growth rate by regulating the activity of the enzymes to match the availability of the external ammonia. The molecular mechanism and the strategy of the regulation in this network have been the research topics for many investigators. In this paper, we develop a flux balance model for the nitrogen metabolism, taking into account of the cellular composition and biosynthetic requirements for nitrogen. The model agrees well with known experimental results. Specifically, it reproduces all the (15)N isotope labeling experiments in the wild type and the two mutant (ΔGDH and ΔGOGAT) strains of E. coli. Furthermore, the predicted catalytic activities of GDH, GS and GOGAT in different ammonium concentrations and growth rates for the wild type, ΔGDH and ΔGOGAT strains agree well with the enzyme concentrations obtained from western blots. Based on this flux balance model, we show that GS is the preferred regulation point among the three enzymes in the nitrogen assimilation network. Our analysis reveals the pattern of regulation in this central and highly regulated network, thus providing insights into the regulation strategy adopted by the bacteria. Our model and methods may also be useful in future investigations in this and other networks. Public Library of Science 2011-01-25 /pmc/articles/PMC3026816/ /pubmed/21283535 http://dx.doi.org/10.1371/journal.pone.0016362 Text en Wang 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
Wang, Lu
Lai, Luhua
Ouyang, Qi
Tang, Chao
Flux Balance Analysis of Ammonia Assimilation Network in E. coli Predicts Preferred Regulation Point
title Flux Balance Analysis of Ammonia Assimilation Network in E. coli Predicts Preferred Regulation Point
title_full Flux Balance Analysis of Ammonia Assimilation Network in E. coli Predicts Preferred Regulation Point
title_fullStr Flux Balance Analysis of Ammonia Assimilation Network in E. coli Predicts Preferred Regulation Point
title_full_unstemmed Flux Balance Analysis of Ammonia Assimilation Network in E. coli Predicts Preferred Regulation Point
title_short Flux Balance Analysis of Ammonia Assimilation Network in E. coli Predicts Preferred Regulation Point
title_sort flux balance analysis of ammonia assimilation network in e. coli predicts preferred regulation point
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3026816/
https://www.ncbi.nlm.nih.gov/pubmed/21283535
http://dx.doi.org/10.1371/journal.pone.0016362
work_keys_str_mv AT wanglu fluxbalanceanalysisofammoniaassimilationnetworkinecolipredictspreferredregulationpoint
AT lailuhua fluxbalanceanalysisofammoniaassimilationnetworkinecolipredictspreferredregulationpoint
AT ouyangqi fluxbalanceanalysisofammoniaassimilationnetworkinecolipredictspreferredregulationpoint
AT tangchao fluxbalanceanalysisofammoniaassimilationnetworkinecolipredictspreferredregulationpoint