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...

Full description

Bibliographic Details
Main Authors: Maria Vittoria Barbarossa, Christina Kuttler
Format: Article
Language:English
Published: MDPI AG 2016-05-01
Series:Applied Sciences
Subjects:
Online Access:http://www.mdpi.com/2076-3417/6/5/149
id doaj-4e49984dfe0b4489a600e2524ebc8eb6
record_format Article
spelling 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
_version_ 1725847486487068672