Lookdown construction for a Moran seed-bank model
Maria Clara Fittipaldi, Adrián González Casanova, Julio Ernesto Nava
TL;DR
The paper develops a Markovian lookdown framework for a Moran model with a seed-bank, allowing the active/dormant population proportions to vary while keeping the total population fixed. It proves that the SB-lookdown empirical measure matches the SB-Moran model's empirical measure via the Markov Mapping theorem and derives the ancestry structure through a seed-bank coalescent embedded in the lookdown construction. The results characterize the time to the most recent common ancestor (TMRCA) as asymptotically governed by the largest inactivity period, with a Gumbel limit after centering, and show that the fixation time of a single beneficial mutant, conditioned to invade, shares the same limiting Gumbel distribution and scales as $\ln(N)$. Collectively, these findings connect seed-bank dynamics to explicit coalescent and fixation-time laws, enabling precise asymptotics for genealogies and selective sweeps in seed-bank populations.
Abstract
We present a lookdown construction for a Moran seed-bank model with variable active and inactive population sizes and we show that the empirical measure of our model coincides with that of the Seed-Bank-Moran Model with latency of Greven, den Hollander and Oomen, 2022. Furthermore, we prove that the time to the most recent common ancestor, starting from $N$ individuals with stationary distribution over its state (active or inactive), has the same asymptotic order as the largest inactivity period. We then obtain an asymptotic distribution of the TMRCA, and use this result to find the first order of the asymptotic distribution of the fixation time of a single beneficial mutant conditioned to invade the whole population, which surprisingly is of order $\ln(N)$.
