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Agent-based modelling of iron cycling bacteria provides a framework for testing alternative environmental conditions and modes of action
Iron-reducing and iron-oxidizing bacteria are of interest in a variety of environmental and industrial applications. Such bacteria often co-occur at oxic-anoxic gradients in aquatic and terrestrial habitats. In this paper, we present the first computational agent-based model of microbial iron cyclin...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Royal Society
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9115035/ https://www.ncbi.nlm.nih.gov/pubmed/35620008 http://dx.doi.org/10.1098/rsos.211553 |
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author | Then, Andre Ewald, Jan Söllner, Natalie Cooper, Rebecca E. Küsel, Kirsten Ibrahim, Bashar Schuster, Stefan |
author_facet | Then, Andre Ewald, Jan Söllner, Natalie Cooper, Rebecca E. Küsel, Kirsten Ibrahim, Bashar Schuster, Stefan |
author_sort | Then, Andre |
collection | PubMed |
description | Iron-reducing and iron-oxidizing bacteria are of interest in a variety of environmental and industrial applications. Such bacteria often co-occur at oxic-anoxic gradients in aquatic and terrestrial habitats. In this paper, we present the first computational agent-based model of microbial iron cycling, between the anaerobic ferric iron (Fe(3+))-reducing bacteria Shewanella spp. and the microaerophilic ferrous iron (Fe(2+))-oxidizing bacteria Sideroxydans spp. By including the key processes of reduction/oxidation, movement, adhesion, Fe(2+)-equilibration and nanoparticle formation, we derive a core model which enables hypothesis testing and prediction for different environmental conditions including temporal cycles of oxic and anoxic conditions. We compared (i) combinations of different Fe(3+)-reducing/Fe(2+)-oxidizing modes of action of the bacteria and (ii) system behaviour for different pH values. We predicted that the beneficial effect of a high number of iron-nanoparticles on the total Fe(3+) reduction rate of the system is not only due to the faster reduction of these iron-nanoparticles, but also to the nanoparticles’ additional capacity to bind Fe(2+) on their surfaces. Efficient iron-nanoparticle reduction is confined to pH around 6, being twice as high than at pH 7, whereas at pH 5 negligible reduction takes place. Furthermore, in accordance with experimental evidence our model showed that shorter oxic/anoxic periods exhibit a faster increase of total Fe(3+) reduction rate than longer periods. |
format | Online Article Text |
id | pubmed-9115035 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | The Royal Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-91150352022-05-25 Agent-based modelling of iron cycling bacteria provides a framework for testing alternative environmental conditions and modes of action Then, Andre Ewald, Jan Söllner, Natalie Cooper, Rebecca E. Küsel, Kirsten Ibrahim, Bashar Schuster, Stefan R Soc Open Sci Biochemistry, Cellular and Molecular Biology Iron-reducing and iron-oxidizing bacteria are of interest in a variety of environmental and industrial applications. Such bacteria often co-occur at oxic-anoxic gradients in aquatic and terrestrial habitats. In this paper, we present the first computational agent-based model of microbial iron cycling, between the anaerobic ferric iron (Fe(3+))-reducing bacteria Shewanella spp. and the microaerophilic ferrous iron (Fe(2+))-oxidizing bacteria Sideroxydans spp. By including the key processes of reduction/oxidation, movement, adhesion, Fe(2+)-equilibration and nanoparticle formation, we derive a core model which enables hypothesis testing and prediction for different environmental conditions including temporal cycles of oxic and anoxic conditions. We compared (i) combinations of different Fe(3+)-reducing/Fe(2+)-oxidizing modes of action of the bacteria and (ii) system behaviour for different pH values. We predicted that the beneficial effect of a high number of iron-nanoparticles on the total Fe(3+) reduction rate of the system is not only due to the faster reduction of these iron-nanoparticles, but also to the nanoparticles’ additional capacity to bind Fe(2+) on their surfaces. Efficient iron-nanoparticle reduction is confined to pH around 6, being twice as high than at pH 7, whereas at pH 5 negligible reduction takes place. Furthermore, in accordance with experimental evidence our model showed that shorter oxic/anoxic periods exhibit a faster increase of total Fe(3+) reduction rate than longer periods. The Royal Society 2022-05-18 /pmc/articles/PMC9115035/ /pubmed/35620008 http://dx.doi.org/10.1098/rsos.211553 Text en © 2022 The Authors. https://creativecommons.org/licenses/by/4.0/Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, provided the original author and source are credited. |
spellingShingle | Biochemistry, Cellular and Molecular Biology Then, Andre Ewald, Jan Söllner, Natalie Cooper, Rebecca E. Küsel, Kirsten Ibrahim, Bashar Schuster, Stefan Agent-based modelling of iron cycling bacteria provides a framework for testing alternative environmental conditions and modes of action |
title | Agent-based modelling of iron cycling bacteria provides a framework for testing alternative environmental conditions and modes of action |
title_full | Agent-based modelling of iron cycling bacteria provides a framework for testing alternative environmental conditions and modes of action |
title_fullStr | Agent-based modelling of iron cycling bacteria provides a framework for testing alternative environmental conditions and modes of action |
title_full_unstemmed | Agent-based modelling of iron cycling bacteria provides a framework for testing alternative environmental conditions and modes of action |
title_short | Agent-based modelling of iron cycling bacteria provides a framework for testing alternative environmental conditions and modes of action |
title_sort | agent-based modelling of iron cycling bacteria provides a framework for testing alternative environmental conditions and modes of action |
topic | Biochemistry, Cellular and Molecular Biology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9115035/ https://www.ncbi.nlm.nih.gov/pubmed/35620008 http://dx.doi.org/10.1098/rsos.211553 |
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