Lounès Chikhi

1 Introduction Conservation genetics aims at using genetic data to improve conservation decisions. It typically requires the sampling of natural populations from which genetic, and now genomic data are obtained and interpreted (Oklander and Soto-Calderón 2024). A first step consists in producing metrics such as the number of alleles and the observed and expected heterozygosities, and interpreting them using concepts from population genetics.

Abstract Population genetic studies use genetic data to understand aspects of the evolutionary history of species, particularly to infer their demography. Here, we extend the non-stationary structured coalescent framework to complex models where the parameters of the model, and thus the state space, change between stationary periods.

Abstract Reconstructing the demographic history of populations and species is one of the greatest challenges facing population geneticists. Mazet (2016} introduced, for a sample of size k=2 haploid genomes, a time- and sample-dependent parameter which they called the IICR (inverse instantaneous coalescence rate). Here we extend their work to larger sample sizes and focus on Tk, the time to the first coalescence event in a haploid sample of size k where k>=2.