Mathematical Modeling of Bacteria Communication in Continuous Cultures
Quorum sensing is a bacterial cell-to-cell communication mechanism and is based on gene regulatory networks, which control and regulate the production of signaling molecules in the environment. In the past years, mathematical modeling of quorum sensing has provided an understanding of key components...
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doaj-4e49984dfe0b4489a600e2524ebc8eb62020-11-24T21:59:44ZengMDPI AGApplied Sciences2076-34172016-05-016514910.3390/app6050149app6050149Mathematical Modeling of Bacteria Communication in Continuous CulturesMaria Vittoria Barbarossa0Christina Kuttler1Faculty for Mathematics and Informatics, Universität Heidelberg, Im Neuenheimer Feld 205, D-69120 Heidelberg, GermanyFaculty for Mathematics, Technische Universität München, Boltzmannstraße 3, D-85748 Garching bei München, GermanyQuorum sensing is a bacterial cell-to-cell communication mechanism and is based on gene regulatory networks, which control and regulate the production of signaling molecules in the environment. In the past years, mathematical modeling of quorum sensing has provided an understanding of key components of such networks, including several feedback loops involved. This paper presents a simple system of delay differential equations (DDEs) for quorum sensing of Pseudomonas putida with one positive feedback plus one (delayed) negative feedback mechanism. Results are shown concerning fundamental properties of solutions, such as existence, uniqueness, and non-negativity; the last feature is crucial for mathematical models in biology and is often violated when working with DDEs. The qualitative behavior of solutions is investigated, especially the stationary states and their stability. It is shown that for a certain choice of parameter values, the system presents stability switches with respect to the delay. On the other hand, when the delay is set to zero, a Hopf bifurcation might occur with respect to one of the negative feedback parameters. Model parameters are fitted to experimental data, indicating that the delay system is sufficient to explain and predict the biological observations.http://www.mdpi.com/2076-3417/6/5/149quorum sensingchemostatmathematical modeldifferential equationsdelaybifurcationsdynamical systemnumerical simulation |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Maria Vittoria Barbarossa Christina Kuttler |
spellingShingle |
Maria Vittoria Barbarossa Christina Kuttler Mathematical Modeling of Bacteria Communication in Continuous Cultures Applied Sciences quorum sensing chemostat mathematical model differential equations delay bifurcations dynamical system numerical simulation |
author_facet |
Maria Vittoria Barbarossa Christina Kuttler |
author_sort |
Maria Vittoria Barbarossa |
title |
Mathematical Modeling of Bacteria Communication in Continuous Cultures |
title_short |
Mathematical Modeling of Bacteria Communication in Continuous Cultures |
title_full |
Mathematical Modeling of Bacteria Communication in Continuous Cultures |
title_fullStr |
Mathematical Modeling of Bacteria Communication in Continuous Cultures |
title_full_unstemmed |
Mathematical Modeling of Bacteria Communication in Continuous Cultures |
title_sort |
mathematical modeling of bacteria communication in continuous cultures |
publisher |
MDPI AG |
series |
Applied Sciences |
issn |
2076-3417 |
publishDate |
2016-05-01 |
description |
Quorum sensing is a bacterial cell-to-cell communication mechanism and is based on gene regulatory networks, which control and regulate the production of signaling molecules in the environment. In the past years, mathematical modeling of quorum sensing has provided an understanding of key components of such networks, including several feedback loops involved. This paper presents a simple system of delay differential equations (DDEs) for quorum sensing of Pseudomonas putida with one positive feedback plus one (delayed) negative feedback mechanism. Results are shown concerning fundamental properties of solutions, such as existence, uniqueness, and non-negativity; the last feature is crucial for mathematical models in biology and is often violated when working with DDEs. The qualitative behavior of solutions is investigated, especially the stationary states and their stability. It is shown that for a certain choice of parameter values, the system presents stability switches with respect to the delay. On the other hand, when the delay is set to zero, a Hopf bifurcation might occur with respect to one of the negative feedback parameters. Model parameters are fitted to experimental data, indicating that the delay system is sufficient to explain and predict the biological observations. |
topic |
quorum sensing chemostat mathematical model differential equations delay bifurcations dynamical system numerical simulation |
url |
http://www.mdpi.com/2076-3417/6/5/149 |
work_keys_str_mv |
AT mariavittoriabarbarossa mathematicalmodelingofbacteriacommunicationincontinuouscultures AT christinakuttler mathematicalmodelingofbacteriacommunicationincontinuouscultures |
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1725847486487068672 |