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Phenotype Switching in Chemotaxis Aggregation Models Controls the Spontaneous Emergence of Large Densities

Kevin J. Painter, Michael Winkler

2023SIAM Journal on Applied Mathematics10 citationsDOI

Abstract

.We consider a phenotype-switching chemotaxis model for aggregation, in which a chemotactic population is capable of switching back and forth between a chemotaxing state (performing chemotactic movement) and a secreting state (producing the attractant). We show that the switching rate provides a powerful mechanism for controlling the densities of spontaneously emerging aggregates. Specifically, in two- and three-dimensional settings it is shown that when both switching rates coincide and are suitably large, the densities of both the chemotaxing and the secreting populations will exceed any prescribed level at some points in the considered domain. This is complemented by two results asserting the absence of such aggregation phenomena in corresponding scenarios in which one of the switching rates remains within some bounded interval.Keywordschemotaxisindirect signal productionsingularity formationMSC codes35B4435B3635B4535K5592C17

Topics & Concepts

ChemotaxisPhenotypic switchingBounded functionPhenotypePopulationMathematicsPhysicsStatistical physicsControl theory (sociology)Computer scienceBiologyMathematical analysisReceptorGeneticsMedicineControl (management)GeneArtificial intelligenceEnvironmental healthMathematical Biology Tumor GrowthGene Regulatory Network AnalysisSlime Mold and Myxomycetes Research
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