Incorporating Cellular Stochasticity in Solid–Fluid Mixture Biofilm Models

The dynamics of cellular aggregates is driven by the interplay of mechanochemical processes and cellular activity. Although deterministic models may capture mechanical features, local chemical fluctuations trigger random cell responses, which determine the overall evolution. Incorporating stochastic...

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Detalles Bibliográficos
Autores: Carpio, Ana, Cebrián de Barrio, Elena
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2020
País:España
Institución:Universidad de Burgos (UBU)
Repositorio:Repositorio Institucional de la Universidad de Burgos (RIUBU)
OAI Identifier:oai:riubu.ubu.es:10259/8252
Acceso en línea:http://hdl.handle.net/10259/8252
Access Level:acceso abierto
Palabra clave:Biofilm
Cellular activity
Solid–fluid mixture
Thin film
Von Karman plate
Dynamic energy budget
Osmotic spread
Wrinkle formation
Cell differentiation
Matemáticas
Microbiología
Mathematics
Microbiology
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spelling Incorporating Cellular Stochasticity in Solid–Fluid Mixture Biofilm ModelsCarpio, AnaCebrián de Barrio, ElenaBiofilmCellular activitySolid–fluid mixtureThin filmVon Karman plateDynamic energy budgetOsmotic spreadWrinkle formationCell differentiationMatemáticasMicrobiologíaMathematicsMicrobiologyThe dynamics of cellular aggregates is driven by the interplay of mechanochemical processes and cellular activity. Although deterministic models may capture mechanical features, local chemical fluctuations trigger random cell responses, which determine the overall evolution. Incorporating stochastic cellular behavior in macroscopic models of biological media is a challenging task. Herein, we propose hybrid models for bacterial biofilm growth, which couple a two phase solid/fluid mixture description of mechanical and chemical fields with a dynamic energy budget-based cellular automata treatment of bacterial activity. Thin film and plate approximations for the relevant interfaces allow us to obtain numerical solutions exhibiting behaviors observed in experiments, such as accelerated spread due to water intake from the environment, wrinkle formation, undulated contour development, and the appearance of inhomogeneous distributions of differentiated bacteria performing varied tasks.MDPI202420242020info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://hdl.handle.net/10259/8252reponame:Repositorio Institucional de la Universidad de Burgos (RIUBU)instname:Universidad de Burgos (UBU)InglésEntropy. 2020, V. 22, n. 2, 188https://doi.org/10.3390/e22020188Atribución 4.0 Internacionalhttp://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:riubu.ubu.es:10259/82522026-05-28T07:56:11Z
dc.title.none.fl_str_mv Incorporating Cellular Stochasticity in Solid–Fluid Mixture Biofilm Models
title Incorporating Cellular Stochasticity in Solid–Fluid Mixture Biofilm Models
spellingShingle Incorporating Cellular Stochasticity in Solid–Fluid Mixture Biofilm Models
Carpio, Ana
Biofilm
Cellular activity
Solid–fluid mixture
Thin film
Von Karman plate
Dynamic energy budget
Osmotic spread
Wrinkle formation
Cell differentiation
Matemáticas
Microbiología
Mathematics
Microbiology
title_short Incorporating Cellular Stochasticity in Solid–Fluid Mixture Biofilm Models
title_full Incorporating Cellular Stochasticity in Solid–Fluid Mixture Biofilm Models
title_fullStr Incorporating Cellular Stochasticity in Solid–Fluid Mixture Biofilm Models
title_full_unstemmed Incorporating Cellular Stochasticity in Solid–Fluid Mixture Biofilm Models
title_sort Incorporating Cellular Stochasticity in Solid–Fluid Mixture Biofilm Models
dc.creator.none.fl_str_mv Carpio, Ana
Cebrián de Barrio, Elena
author Carpio, Ana
author_facet Carpio, Ana
Cebrián de Barrio, Elena
author_role author
author2 Cebrián de Barrio, Elena
author2_role author
dc.subject.none.fl_str_mv Biofilm
Cellular activity
Solid–fluid mixture
Thin film
Von Karman plate
Dynamic energy budget
Osmotic spread
Wrinkle formation
Cell differentiation
Matemáticas
Microbiología
Mathematics
Microbiology
topic Biofilm
Cellular activity
Solid–fluid mixture
Thin film
Von Karman plate
Dynamic energy budget
Osmotic spread
Wrinkle formation
Cell differentiation
Matemáticas
Microbiología
Mathematics
Microbiology
description The dynamics of cellular aggregates is driven by the interplay of mechanochemical processes and cellular activity. Although deterministic models may capture mechanical features, local chemical fluctuations trigger random cell responses, which determine the overall evolution. Incorporating stochastic cellular behavior in macroscopic models of biological media is a challenging task. Herein, we propose hybrid models for bacterial biofilm growth, which couple a two phase solid/fluid mixture description of mechanical and chemical fields with a dynamic energy budget-based cellular automata treatment of bacterial activity. Thin film and plate approximations for the relevant interfaces allow us to obtain numerical solutions exhibiting behaviors observed in experiments, such as accelerated spread due to water intake from the environment, wrinkle formation, undulated contour development, and the appearance of inhomogeneous distributions of differentiated bacteria performing varied tasks.
publishDate 2020
dc.date.none.fl_str_mv 2020
2024
2024
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10259/8252
url http://hdl.handle.net/10259/8252
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Entropy. 2020, V. 22, n. 2, 188
https://doi.org/10.3390/e22020188
dc.rights.none.fl_str_mv Atribución 4.0 Internacional
http://creativecommons.org/licenses/by/4.0/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Atribución 4.0 Internacional
http://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv MDPI
publisher.none.fl_str_mv MDPI
dc.source.none.fl_str_mv reponame:Repositorio Institucional de la Universidad de Burgos (RIUBU)
instname:Universidad de Burgos (UBU)
instname_str Universidad de Burgos (UBU)
reponame_str Repositorio Institucional de la Universidad de Burgos (RIUBU)
collection Repositorio Institucional de la Universidad de Burgos (RIUBU)
repository.name.fl_str_mv
repository.mail.fl_str_mv
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