The IICR and the non-stationary structured coalescent: towards demographic inference with arbitrary changes in population structure

Archive ouverte

Rodríguez, Willy | Mazet, Olivier | Grusea, Simona | Arredondo, Armando | Corujo, Josué | Boitard, Simon | Chikhi, Lounès

Edité par CCSD ; Nature Publishing Group -

Corrections available at https://doi.org/10.1038/s41437-021-00414-z. International audience. In the last years, a wide range of methods allowing to reconstruct past population size changes from genome-wide data have been developed. At the same time, there has been an increasing recognition that population structure can generate genetic data similar to those produced under models of population size change. Recently, Mazet et al. (Heredity 116:362-371, 2016) showed that, for any model of population structure, it is always possible to find a panmictic model with a particular function of population size changes, having exactly the same distribution of T 2 (the coalescence time for a sample of size two) as that of the structured model. They called this function IICR (Inverse Instantaneous Coalescence Rate) and showed that it does not necessarily correspond to population size changes under non-panmictic models. Besides, most of the methods used to analyse data under models of population structure tend to arbitrarily fix that structure and to minimise or neglect population size changes. Here, we extend the seminal work of Herbots (PhD thesis, University of London, 1994) on the structured coalescent and propose a new framework, the Non-Stationary Structured Coalescent (NSSC) that incorporates demographic events (changes in gene flow and/or deme sizes) to models of nearly any complexity. We show how to compute the IICR under a wide family of stationary and non-stationary models. As an example we address the question of human and Neanderthal evolution and discuss how the NSSC framework allows to interpret genomic data under this new perspective.

Suggestions

Du même auteur

Extending the IICR to multiple genomes and identification of limitations of some demographic inferential methods

Archive ouverte | Chikhi, Lounès | CCSD

Reconstructing the demographic history of populations and species is one of the greatest challenges facing population geneticists. [50] introduced, for a sample of size k = 2 haploid genomes, a time- and sample-dependent parameter...

Inferring number of populations and changes in connectivity under the n-island model

Archive ouverte | Arredondo, Armando | CCSD

Correction to: Heredity https://doi.org/10.1038/s41437-021-00426-9, published online 12 April 2021.. International audience. Inferring the demographic history of species is one of the greatest challenges in populati...

Coalescence times for three genes provide sufficient information to distinguish population structure from population size changes

Archive ouverte | Grusea, Simona | CCSD

International audience. The increasing amount of genomic data currently available is expanding the horizons of population genetics inference. A wide range of methods have been published allowing to detect and date m...

Chargement des enrichissements...