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A Minimal Model of Metabolism-Based Chemotaxis

Since the pioneering work by Julius Adler in the 1960's, bacterial chemotaxis has been predominantly studied as metabolism-independent. All available simulation models of bacterial chemotaxis endorse this assumption. Recent studies have shown, however, that many metabolism-dependent chemotactic...

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Detalles Bibliográficos
Autores principales: Egbert, Matthew D., Barandiaran, Xabier E., Di Paolo, Ezequiel A.
Formato: Texto
Lenguaje:English
Publicado: Public Library of Science 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3000427/
https://www.ncbi.nlm.nih.gov/pubmed/21170312
http://dx.doi.org/10.1371/journal.pcbi.1001004
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author Egbert, Matthew D.
Barandiaran, Xabier E.
Di Paolo, Ezequiel A.
author_facet Egbert, Matthew D.
Barandiaran, Xabier E.
Di Paolo, Ezequiel A.
author_sort Egbert, Matthew D.
collection PubMed
description Since the pioneering work by Julius Adler in the 1960's, bacterial chemotaxis has been predominantly studied as metabolism-independent. All available simulation models of bacterial chemotaxis endorse this assumption. Recent studies have shown, however, that many metabolism-dependent chemotactic patterns occur in bacteria. We hereby present the simplest artificial protocell model capable of performing metabolism-based chemotaxis. The model serves as a proof of concept to show how even the simplest metabolism can sustain chemotactic patterns of varying sophistication. It also reproduces a set of phenomena that have recently attracted attention on bacterial chemotaxis and provides insights about alternative mechanisms that could instantiate them. We conclude that relaxing the metabolism-independent assumption provides important theoretical advances, forces us to rethink some established pre-conceptions and may help us better understand unexplored and poorly understood aspects of bacterial chemotaxis.
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spelling pubmed-30004272010-12-17 A Minimal Model of Metabolism-Based Chemotaxis Egbert, Matthew D. Barandiaran, Xabier E. Di Paolo, Ezequiel A. PLoS Comput Biol Research Article Since the pioneering work by Julius Adler in the 1960's, bacterial chemotaxis has been predominantly studied as metabolism-independent. All available simulation models of bacterial chemotaxis endorse this assumption. Recent studies have shown, however, that many metabolism-dependent chemotactic patterns occur in bacteria. We hereby present the simplest artificial protocell model capable of performing metabolism-based chemotaxis. The model serves as a proof of concept to show how even the simplest metabolism can sustain chemotactic patterns of varying sophistication. It also reproduces a set of phenomena that have recently attracted attention on bacterial chemotaxis and provides insights about alternative mechanisms that could instantiate them. We conclude that relaxing the metabolism-independent assumption provides important theoretical advances, forces us to rethink some established pre-conceptions and may help us better understand unexplored and poorly understood aspects of bacterial chemotaxis. Public Library of Science 2010-12-02 /pmc/articles/PMC3000427/ /pubmed/21170312 http://dx.doi.org/10.1371/journal.pcbi.1001004 Text en Egbert 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
Egbert, Matthew D.
Barandiaran, Xabier E.
Di Paolo, Ezequiel A.
A Minimal Model of Metabolism-Based Chemotaxis
title A Minimal Model of Metabolism-Based Chemotaxis
title_full A Minimal Model of Metabolism-Based Chemotaxis
title_fullStr A Minimal Model of Metabolism-Based Chemotaxis
title_full_unstemmed A Minimal Model of Metabolism-Based Chemotaxis
title_short A Minimal Model of Metabolism-Based Chemotaxis
title_sort minimal model of metabolism-based chemotaxis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3000427/
https://www.ncbi.nlm.nih.gov/pubmed/21170312
http://dx.doi.org/10.1371/journal.pcbi.1001004
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