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The common message of constraint-based optimization approaches: overflow metabolism is caused by two growth-limiting constraints
Living cells can express different metabolic pathways that support growth. The criteria that determine which pathways are selected in which environment remain unclear. One recurrent selection is overflow metabolism: the simultaneous usage of an ATP-efficient and -inefficient pathway, shown for examp...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7010627/ https://www.ncbi.nlm.nih.gov/pubmed/31758233 http://dx.doi.org/10.1007/s00018-019-03380-2 |
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author | de Groot, Daan H. Lischke, Julia Muolo, Riccardo Planqué, Robert Bruggeman, Frank J. Teusink, Bas |
author_facet | de Groot, Daan H. Lischke, Julia Muolo, Riccardo Planqué, Robert Bruggeman, Frank J. Teusink, Bas |
author_sort | de Groot, Daan H. |
collection | PubMed |
description | Living cells can express different metabolic pathways that support growth. The criteria that determine which pathways are selected in which environment remain unclear. One recurrent selection is overflow metabolism: the simultaneous usage of an ATP-efficient and -inefficient pathway, shown for example in Escherichia coli, Saccharomyces cerevisiae and cancer cells. Many models, based on different assumptions, can reproduce this observation. Therefore, they provide no conclusive evidence which mechanism is causing overflow metabolism. We compare the mathematical structure of these models. Although ranging from flux balance analyses to self-fabricating metabolism and expression models, we can rewrite all models into one standard form. We conclude that all models predict overflow metabolism when two, model-specific, growth-limiting constraints are hit. This is consistent with recent theory. Thus, identifying these two constraints is essential for understanding overflow metabolism. We list all imposed constraints by these models, so that they can hopefully be tested in future experiments. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s00018-019-03380-2) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-7010627 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-70106272020-02-24 The common message of constraint-based optimization approaches: overflow metabolism is caused by two growth-limiting constraints de Groot, Daan H. Lischke, Julia Muolo, Riccardo Planqué, Robert Bruggeman, Frank J. Teusink, Bas Cell Mol Life Sci Review Living cells can express different metabolic pathways that support growth. The criteria that determine which pathways are selected in which environment remain unclear. One recurrent selection is overflow metabolism: the simultaneous usage of an ATP-efficient and -inefficient pathway, shown for example in Escherichia coli, Saccharomyces cerevisiae and cancer cells. Many models, based on different assumptions, can reproduce this observation. Therefore, they provide no conclusive evidence which mechanism is causing overflow metabolism. We compare the mathematical structure of these models. Although ranging from flux balance analyses to self-fabricating metabolism and expression models, we can rewrite all models into one standard form. We conclude that all models predict overflow metabolism when two, model-specific, growth-limiting constraints are hit. This is consistent with recent theory. Thus, identifying these two constraints is essential for understanding overflow metabolism. We list all imposed constraints by these models, so that they can hopefully be tested in future experiments. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s00018-019-03380-2) contains supplementary material, which is available to authorized users. Springer International Publishing 2019-11-22 2020 /pmc/articles/PMC7010627/ /pubmed/31758233 http://dx.doi.org/10.1007/s00018-019-03380-2 Text en © The Author(s) 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. |
spellingShingle | Review de Groot, Daan H. Lischke, Julia Muolo, Riccardo Planqué, Robert Bruggeman, Frank J. Teusink, Bas The common message of constraint-based optimization approaches: overflow metabolism is caused by two growth-limiting constraints |
title | The common message of constraint-based optimization approaches: overflow metabolism is caused by two growth-limiting constraints |
title_full | The common message of constraint-based optimization approaches: overflow metabolism is caused by two growth-limiting constraints |
title_fullStr | The common message of constraint-based optimization approaches: overflow metabolism is caused by two growth-limiting constraints |
title_full_unstemmed | The common message of constraint-based optimization approaches: overflow metabolism is caused by two growth-limiting constraints |
title_short | The common message of constraint-based optimization approaches: overflow metabolism is caused by two growth-limiting constraints |
title_sort | common message of constraint-based optimization approaches: overflow metabolism is caused by two growth-limiting constraints |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7010627/ https://www.ncbi.nlm.nih.gov/pubmed/31758233 http://dx.doi.org/10.1007/s00018-019-03380-2 |
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