Allele trees for the mother-dependent neutral mutations model and their scaling limits in the rare mutations regime
Airam Blancas, Maria Clara Fittipaldi, Sarai Hernandez-Torres
TL;DR
The paper analyzes the genealogy of a population evolving under mother-dependent neutral mutations with a finite number of alleles. By developing a clone-mutant Markov chain and constructing a multitype allele tree, it derives a scaling limit in which rescaled allele trees converge to a tree-indexed continuous-state branching process (CSBP) with reproduction measure $\nu(dz)$ and inverse-Gaussian initial condition for the first generation. The full limiting object retains type information and mutant descendants, and is expressible through Bertoin’s universal allele tree, thereby extending Bertoin's infinite-alleles framework to multidimensional types. The results establish a rigorous link between discrete multitype genealogies and continuous-state tree-indexed limits under a rare-mutations regime, providing explicit MGFs for transition laws and a clear path for applications to structured populations.
Abstract
The mother-dependent neutral mutations model describes the evolution of a population across discrete generations, where neutral mutations occur among a finite set of possible alleles. In this model, each mutant child acquires a type different from that of its mother, chosen uniformly at random. In this work, we define a multitype allele tree associated with this model and analyze its scaling limit through a Markov chain that tracks the sizes of allelic subfamilies and their mutant descendants. We show that this Markov chain converges to a continuous-state Markov process, whose transition probabilities depend on the sizes of the initial allelic populations and those of their mutant offspring in the first allelic generation. As a result, the allele tree converges to a multidimensional limiting object, which can be described in terms of the universal allele tree introduced by Bertoin (2010).
