A PROBABILISTIC PHENOTYPE DYNAMICAL MODEL FOR SYMPATRIC SPECIATION: SOME PROPERTIES AND NUMERICAL RESULTS

Sympatric speciation is an important phenomenon in Evolution: a population being able to express two different phenotypes gives rise to a new species without a physical separation from the original population. In this paper, we describe a model that describes the sympatric speciation process using a population dynamics approach. Our aim is to point out some dynamical features that could be observed in a population where a sympatric speciation process is going on. Some interesting stochastic effects are discussed by means of numerical simulations.

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Publication Details

Journal
Journal of Biological Systems
Published
2024-11-28
DOI
https://doi.org/10.1142/s0218339024400096
Primary Topic
Gene Regulatory Network Analysis
Type
article
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article

A PROBABILISTIC PHENOTYPE DYNAMICAL MODEL FOR SYMPATRIC SPECIATION: SOME PROPERTIES AND NUMERICAL RESULTS

Paolo Freguglia, Armando Bazzani, Ezio Venturino, Raffaele D’Ambrosio
Journal of Biological Systems
Gene Regulatory Network Analysis
article

A PROBABILISTIC PHENOTYPE DYNAMICAL MODEL FOR SYMPATRIC SPECIATION: SOME PROPERTIES AND NUMERICAL RESULTS

Paolo Freguglia, Armando Bazzani, Ezio Venturino, Raffaele D’Ambrosio
article en

Abstract

Sympatric speciation is an important phenomenon in Evolution: a population being able to express two different phenotypes gives rise to a new species without a physical separation from the original population. In this paper, we describe a model that describes the sympatric speciation process using a population dynamics approach. Our aim is to point out some dynamical features that could be observed in a population where a sympatric speciation process is going on. Some interesting stochastic effects are discussed by means of numerical simulations.

Journal of Biological SystemsVol. 32(04)
University of L'Aquila (IT), Istituto Nazionale di Fisica Nucleare, Sezione di Bologna (IT)
Life in Land
Openalex Percentile: Top 81%
Gene Regulatory Network Analysis
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