Self-organizing models of bacterial aggregation states
In this work, aggregation states of bacteria on engineered surfacesare investigated both from the experimental point of view and from the theo-retical one. The starting point of this work is a series of experiments carried outon abiotic surfaces in which bacteria adhere forming self-organized patter...
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| Format: | Article |
| Language: | English |
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AIMS Press
2007-12-01
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| Series: | Mathematical Biosciences and Engineering |
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| Online Access: | https://www.aimspress.com/article/doi/10.3934/mbe.2008.5.75 |
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| author | Manuela Caratozzolo Santina Carnazza Luigi Fortuna Mattia Frasca Salvatore Guglielmino Giovanni Gurrieri Giovanni Marletta |
| author_facet | Manuela Caratozzolo Santina Carnazza Luigi Fortuna Mattia Frasca Salvatore Guglielmino Giovanni Gurrieri Giovanni Marletta |
| author_sort | Manuela Caratozzolo |
| collection | DOAJ |
| description | In this work, aggregation states of bacteria on engineered surfacesare investigated both from the experimental point of view and from the theo-retical one. The starting point of this work is a series of experiments carried outon abiotic surfaces in which bacteria adhere forming self-organized patterns.To reproduce the main characteristics of the phenomenon a model based onself-organization of a group of agents has been used. The agents represent bac-teria and are free to move on a given surface. On the basis of local rules theymay adhere and then eventually form self-organized aggregates. Our numericalresults demonstrate that few simple rules are able to explain the emergence ofself-organized patterns. Depending on the parameters used, the model is ableto reproduce the aggregation patterns observed under different experimentalconditions and to predict the behavior of a culture of two bacterial species. |
| format | Article |
| id | doaj-art-15b5e8f80bbd462e91c46aed2165e84b |
| institution | Kabale University |
| issn | 1551-0018 |
| language | English |
| publishDate | 2007-12-01 |
| publisher | AIMS Press |
| record_format | Article |
| series | Mathematical Biosciences and Engineering |
| spelling | doaj-art-15b5e8f80bbd462e91c46aed2165e84b2025-01-24T01:57:50ZengAIMS PressMathematical Biosciences and Engineering1551-00182007-12-0151758310.3934/mbe.2008.5.75Self-organizing models of bacterial aggregation statesManuela Caratozzolo0Santina Carnazza1Luigi Fortuna2Mattia Frasca3Salvatore Guglielmino4Giovanni Gurrieri5Giovanni Marletta6Dipartimento di Scienze Microbiologiche Genetiche e Molecolari, Università di Messina, Salita Sperone, 31 I-98166 Villaggio S. Agata, MessinaDipartimento di Scienze Microbiologiche Genetiche e Molecolari, Università di Messina, Salita Sperone, 31 I-98166 Villaggio S. Agata, MessinaDipartimento di Scienze Microbiologiche Genetiche e Molecolari, Università di Messina, Salita Sperone, 31 I-98166 Villaggio S. Agata, MessinaDipartimento di Scienze Microbiologiche Genetiche e Molecolari, Università di Messina, Salita Sperone, 31 I-98166 Villaggio S. Agata, MessinaDipartimento di Scienze Microbiologiche Genetiche e Molecolari, Università di Messina, Salita Sperone, 31 I-98166 Villaggio S. Agata, MessinaDipartimento di Scienze Microbiologiche Genetiche e Molecolari, Università di Messina, Salita Sperone, 31 I-98166 Villaggio S. Agata, MessinaDipartimento di Scienze Microbiologiche Genetiche e Molecolari, Università di Messina, Salita Sperone, 31 I-98166 Villaggio S. Agata, MessinaIn this work, aggregation states of bacteria on engineered surfacesare investigated both from the experimental point of view and from the theo-retical one. The starting point of this work is a series of experiments carried outon abiotic surfaces in which bacteria adhere forming self-organized patterns.To reproduce the main characteristics of the phenomenon a model based onself-organization of a group of agents has been used. The agents represent bac-teria and are free to move on a given surface. On the basis of local rules theymay adhere and then eventually form self-organized aggregates. Our numericalresults demonstrate that few simple rules are able to explain the emergence ofself-organized patterns. Depending on the parameters used, the model is ableto reproduce the aggregation patterns observed under different experimentalconditions and to predict the behavior of a culture of two bacterial species.https://www.aimspress.com/article/doi/10.3934/mbe.2008.5.75self-organizationbiological systems.agent-based models |
| spellingShingle | Manuela Caratozzolo Santina Carnazza Luigi Fortuna Mattia Frasca Salvatore Guglielmino Giovanni Gurrieri Giovanni Marletta Self-organizing models of bacterial aggregation states Mathematical Biosciences and Engineering self-organization biological systems. agent-based models |
| title | Self-organizing models of bacterial aggregation states |
| title_full | Self-organizing models of bacterial aggregation states |
| title_fullStr | Self-organizing models of bacterial aggregation states |
| title_full_unstemmed | Self-organizing models of bacterial aggregation states |
| title_short | Self-organizing models of bacterial aggregation states |
| title_sort | self organizing models of bacterial aggregation states |
| topic | self-organization biological systems. agent-based models |
| url | https://www.aimspress.com/article/doi/10.3934/mbe.2008.5.75 |
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