Open Access
2018 The polymorphic evolution sequence for populations with phenotypic plasticity
Martina Baar, Anton Bovier
Electron. J. Probab. 23: 1-27 (2018). DOI: 10.1214/18-EJP194


In this paper we study a class of stochastic individual-based models that describe the evolution of haploid populations where each individual is characterised by a phenotype and a genotype. The phenotype of an individual determines its natural birth- and death rates as well as the competition kernel, $c(x,y)$ which describes the induced death rate that an individual of type $x$ experiences due to the presence of an individual or type $y$. When a new individual is born, with a small probability a mutation occurs, i.e. the offspring has different genotype as the parent. The novel aspect of the models we study is that an individual with a given genotype may expresses a certain set of different phenotypes, and during its lifetime it may switch between different phenotypes, with rates that are much larger then the mutation rates and that, moreover, may depend on the state of the entire population. The evolution of the population is described by a continuous-time, measure-valued Markov process. In [4], such a model was proposed to describe tumor evolution under immunotherapy. In the present paper we consider a large class of models which comprises the example studied in [4] and analyse their scaling limits as the population size tends to infinity and the mutation rate tends to zero. Under suitable assumptions, we prove convergence to a Markov jump process that is a generalisation of the polymorphic evolution sequence (PES) as analysed in [9, 11].


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Martina Baar. Anton Bovier. "The polymorphic evolution sequence for populations with phenotypic plasticity." Electron. J. Probab. 23 1 - 27, 2018.


Received: 5 August 2017; Accepted: 3 July 2018; Published: 2018
First available in Project Euclid: 27 July 2018

zbMATH: 06924684
MathSciNet: MR3835478
Digital Object Identifier: 10.1214/18-EJP194

Primary: 60J85 , 60K35 , 92D25

Keywords: adaptive dynamics , canonical equation , large population limit , mutation-selection individual-based model

Vol.23 • 2018
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