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The Impact of Phenotypic Heterogeneity on Chemotactic Self-Organisation

The capacity to aggregate through chemosensitive movement forms a paradigm of self-organisation, with examples spanning cellular and animal systems. A basic mechanism assumes a phenotypically homogeneous population that secretes its own attractant, with the well known system introduced more than fiv...

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Autores principales: Macfarlane, Fiona R., Lorenzi, Tommaso, Painter, Kevin J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9626439/
https://www.ncbi.nlm.nih.gov/pubmed/36319913
http://dx.doi.org/10.1007/s11538-022-01099-z
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author Macfarlane, Fiona R.
Lorenzi, Tommaso
Painter, Kevin J.
author_facet Macfarlane, Fiona R.
Lorenzi, Tommaso
Painter, Kevin J.
author_sort Macfarlane, Fiona R.
collection PubMed
description The capacity to aggregate through chemosensitive movement forms a paradigm of self-organisation, with examples spanning cellular and animal systems. A basic mechanism assumes a phenotypically homogeneous population that secretes its own attractant, with the well known system introduced more than five decades ago by Keller and Segel proving resolutely popular in modelling studies. The typical assumption of population phenotypic homogeneity, however, often lies at odds with the heterogeneity of natural systems, where populations may comprise distinct phenotypes that vary according to their chemotactic ability, attractant secretion, etc. To initiate an understanding into how this diversity can impact on autoaggregation, we propose a simple extension to the classical Keller and Segel model, in which the population is divided into two distinct phenotypes: those performing chemotaxis and those producing attractant. Using a combination of linear stability analysis and numerical simulations, we demonstrate that switching between these phenotypic states alters the capacity of a population to self-aggregate. Further, we show that switching based on the local environment (population density or chemoattractant level) leads to diverse patterning and provides a route through which a population can effectively curb the size and density of an aggregate. We discuss the results in the context of real world examples of chemotactic aggregation, as well as theoretical aspects of the model such as global existence and blow-up of solutions. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11538-022-01099-z.
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spelling pubmed-96264392022-11-03 The Impact of Phenotypic Heterogeneity on Chemotactic Self-Organisation Macfarlane, Fiona R. Lorenzi, Tommaso Painter, Kevin J. Bull Math Biol Original Article The capacity to aggregate through chemosensitive movement forms a paradigm of self-organisation, with examples spanning cellular and animal systems. A basic mechanism assumes a phenotypically homogeneous population that secretes its own attractant, with the well known system introduced more than five decades ago by Keller and Segel proving resolutely popular in modelling studies. The typical assumption of population phenotypic homogeneity, however, often lies at odds with the heterogeneity of natural systems, where populations may comprise distinct phenotypes that vary according to their chemotactic ability, attractant secretion, etc. To initiate an understanding into how this diversity can impact on autoaggregation, we propose a simple extension to the classical Keller and Segel model, in which the population is divided into two distinct phenotypes: those performing chemotaxis and those producing attractant. Using a combination of linear stability analysis and numerical simulations, we demonstrate that switching between these phenotypic states alters the capacity of a population to self-aggregate. Further, we show that switching based on the local environment (population density or chemoattractant level) leads to diverse patterning and provides a route through which a population can effectively curb the size and density of an aggregate. We discuss the results in the context of real world examples of chemotactic aggregation, as well as theoretical aspects of the model such as global existence and blow-up of solutions. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11538-022-01099-z. Springer US 2022-11-01 2022 /pmc/articles/PMC9626439/ /pubmed/36319913 http://dx.doi.org/10.1007/s11538-022-01099-z Text en © Crown 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Original Article
Macfarlane, Fiona R.
Lorenzi, Tommaso
Painter, Kevin J.
The Impact of Phenotypic Heterogeneity on Chemotactic Self-Organisation
title The Impact of Phenotypic Heterogeneity on Chemotactic Self-Organisation
title_full The Impact of Phenotypic Heterogeneity on Chemotactic Self-Organisation
title_fullStr The Impact of Phenotypic Heterogeneity on Chemotactic Self-Organisation
title_full_unstemmed The Impact of Phenotypic Heterogeneity on Chemotactic Self-Organisation
title_short The Impact of Phenotypic Heterogeneity on Chemotactic Self-Organisation
title_sort impact of phenotypic heterogeneity on chemotactic self-organisation
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9626439/
https://www.ncbi.nlm.nih.gov/pubmed/36319913
http://dx.doi.org/10.1007/s11538-022-01099-z
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