Open Access
2024 A branching process with coalescence to model random phylogenetic networks
François Bienvenu, Jean-Jil Duchamps
Author Affiliations +
Electron. J. Probab. 29: 1-48 (2024). DOI: 10.1214/24-EJP1088

Abstract

We introduce a biologically natural, mathematically tractable model of random phylogenetic network to describe evolution in the presence of hybridization. One of the features of this model is that the hybridization rate of the lineages correlates negatively with their phylogenetic distance. We give formulas / characterizations for quantities of biological interest that make them straightforward to compute in practice. We show that the appropriately rescaled network, seen as a metric space, converges to the Brownian continuum random tree, and that the uniformly rooted network has a local weak limit, which we describe explicitly.

Acknowledgments

FB was supported by Dr. Max Rössler, the Walter Haefner Foundation and the ETH Zürich Foundation.

Citation

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François Bienvenu. Jean-Jil Duchamps. "A branching process with coalescence to model random phylogenetic networks." Electron. J. Probab. 29 1 - 48, 2024. https://doi.org/10.1214/24-EJP1088

Information

Received: 9 November 2022; Accepted: 18 January 2024; Published: 2024
First available in Project Euclid: 22 February 2024

arXiv: 2211.02407
Digital Object Identifier: 10.1214/24-EJP1088

Subjects:
Primary: 05C80 , 60J80
Secondary: 60F05 , 60J27 , 92B10

Keywords: Continuum random tree , explicit phylogenetic network , Local limit , Logistic branching process , random DAG , reticulate evolution , tree-like structure

Vol.29 • 2024
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