Modelling Bacterial Growth, Dispersal and Biodegradation: An experiment-based modelling study of the spatiotemporal dynamics of bacterial colonies, their responses to dispersal networks, and their performance in degrading organic contaminants

Successful bioremediation of polluted soils is often limited by the bioavailability of organic contaminants to degrading bacteria. Recent studies revealed that fungal hyphae have the potential to promote bacterial dispersal, and thus raised the idea of specifically stimulating the establishment of f...

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Bibliographic Details
Main Author: Banitz, Thomas
Other Authors: Prof. Dr. Karin Frank
Format: Doctoral Thesis
Language:English
Published: 2011
Subjects:
Online Access:https://repositorium.ub.uni-osnabrueck.de/handle/urn:nbn:de:gbv:700-201108228284
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spelling ndltd-uni-osnabrueck.de-oai-repositorium.ub.uni-osnabrueck.de-urn-nbn-de-gbv-700-2011082282842020-10-28T17:22:23Z Modelling Bacterial Growth, Dispersal and Biodegradation: An experiment-based modelling study of the spatiotemporal dynamics of bacterial colonies, their responses to dispersal networks, and their performance in degrading organic contaminants Banitz, Thomas Prof. Dr. Karin Frank AP Dr. Cristian Picioreanu bacterial model bacterial dispersal fungal networks bioavailability bioremediation organic pollutants ddc:570 Successful bioremediation of polluted soils is often limited by the bioavailability of organic contaminants to degrading bacteria. Recent studies revealed that fungal hyphae have the potential to promote bacterial dispersal, and thus raised the idea of specifically stimulating the establishment of fungal networks in soils to increase contaminant bioavailability. Can such bacterial dispersal networks improve biodegradation performance considerably? If so, how are the improvements affected by abiotic conditions and by the spatial structure of dispersal networks? This doctoral thesis aims at answering these research questions. To this end, laboratory experiments are performed and a bacterial simulation model is developed, incorporating both microbiological and ecological theory. Manifold simulations and analyses of the microbial ecosystems’ spatiotemporal dynamics under different environmental scenarios reveal key factors and processes controlling biodegradation performance and determining benefits from bacterial dispersal networks. 2011-08-22 doc-type:doctoralThesis https://repositorium.ub.uni-osnabrueck.de/handle/urn:nbn:de:gbv:700-201108228284 eng Namensnennung-NichtKommerziell-KeineBearbeitung 3.0 Unported http://creativecommons.org/licenses/by-nc-nd/3.0/ application/pdf application/zip
collection NDLTD
language English
format Doctoral Thesis
sources NDLTD
topic bacterial model
bacterial dispersal
fungal networks
bioavailability
bioremediation
organic pollutants
ddc:570
spellingShingle bacterial model
bacterial dispersal
fungal networks
bioavailability
bioremediation
organic pollutants
ddc:570
Banitz, Thomas
Modelling Bacterial Growth, Dispersal and Biodegradation: An experiment-based modelling study of the spatiotemporal dynamics of bacterial colonies, their responses to dispersal networks, and their performance in degrading organic contaminants
description Successful bioremediation of polluted soils is often limited by the bioavailability of organic contaminants to degrading bacteria. Recent studies revealed that fungal hyphae have the potential to promote bacterial dispersal, and thus raised the idea of specifically stimulating the establishment of fungal networks in soils to increase contaminant bioavailability. Can such bacterial dispersal networks improve biodegradation performance considerably? If so, how are the improvements affected by abiotic conditions and by the spatial structure of dispersal networks? This doctoral thesis aims at answering these research questions. To this end, laboratory experiments are performed and a bacterial simulation model is developed, incorporating both microbiological and ecological theory. Manifold simulations and analyses of the microbial ecosystems’ spatiotemporal dynamics under different environmental scenarios reveal key factors and processes controlling biodegradation performance and determining benefits from bacterial dispersal networks.
author2 Prof. Dr. Karin Frank
author_facet Prof. Dr. Karin Frank
Banitz, Thomas
author Banitz, Thomas
author_sort Banitz, Thomas
title Modelling Bacterial Growth, Dispersal and Biodegradation: An experiment-based modelling study of the spatiotemporal dynamics of bacterial colonies, their responses to dispersal networks, and their performance in degrading organic contaminants
title_short Modelling Bacterial Growth, Dispersal and Biodegradation: An experiment-based modelling study of the spatiotemporal dynamics of bacterial colonies, their responses to dispersal networks, and their performance in degrading organic contaminants
title_full Modelling Bacterial Growth, Dispersal and Biodegradation: An experiment-based modelling study of the spatiotemporal dynamics of bacterial colonies, their responses to dispersal networks, and their performance in degrading organic contaminants
title_fullStr Modelling Bacterial Growth, Dispersal and Biodegradation: An experiment-based modelling study of the spatiotemporal dynamics of bacterial colonies, their responses to dispersal networks, and their performance in degrading organic contaminants
title_full_unstemmed Modelling Bacterial Growth, Dispersal and Biodegradation: An experiment-based modelling study of the spatiotemporal dynamics of bacterial colonies, their responses to dispersal networks, and their performance in degrading organic contaminants
title_sort modelling bacterial growth, dispersal and biodegradation: an experiment-based modelling study of the spatiotemporal dynamics of bacterial colonies, their responses to dispersal networks, and their performance in degrading organic contaminants
publishDate 2011
url https://repositorium.ub.uni-osnabrueck.de/handle/urn:nbn:de:gbv:700-201108228284
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