PMID- 30293985 OWN - NLM STAT- MEDLINE DCOM- 20191028 LR - 20210218 IS - 1365-2540 (Electronic) IS - 0018-067X (Print) IS - 0018-067X (Linking) VI - 121 IP - 6 DP - 2018 Dec TI - The IICR and the non-stationary structured coalescent: towards demographic inference with arbitrary changes in population structure. PG - 663-678 LID - 10.1038/s41437-018-0148-0 [doi] AB - 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. FAU - Rodriguez, Willy AU - Rodriguez W AD - Institut de Mathematiques de Toulouse, Universite de Toulouse, Institut National des Sciences Appliquees, 31077, Toulouse, France. FAU - Mazet, Olivier AU - Mazet O AD - Institut de Mathematiques de Toulouse, Universite de Toulouse, Institut National des Sciences Appliquees, 31077, Toulouse, France. FAU - Grusea, Simona AU - Grusea S AD - Institut de Mathematiques de Toulouse, Universite de Toulouse, Institut National des Sciences Appliquees, 31077, Toulouse, France. FAU - Arredondo, Armando AU - Arredondo A AD - Institut de Mathematiques de Toulouse, Universite de Toulouse, Institut National des Sciences Appliquees, 31077, Toulouse, France. FAU - Corujo, Josue M AU - Corujo JM AD - Facultad de Matematica y Computacion, Universidad de La Habana, La Havana, Cuba. FAU - Boitard, Simon AU - Boitard S AD - GenPhySE, Universite de Toulouse, INRA, INPT, INP-ENVT, Castanet Tolosan, France. FAU - Chikhi, Lounes AU - Chikhi L AD - Laboratoire Evolution & Diversite Biologique (EDB UMR 5174), Universite de Toulouse Midi-Pyrenees, CNRS, IRD, UPS. 118 route de Narbonne, Bat. 4R1, 31062, Toulouse cedex 9, France. lounes.chikhi@univ-tlse3.fr. AD - Instituto Gulbenkian de Ciencia, Rua da Quinta Grande, No. 6, P-2780-156, Oeiras, Portugal. lounes.chikhi@univ-tlse3.fr. LA - eng PT - Journal Article PT - Research Support, Non-U.S. Gov't DEP - 20181007 PL - England TA - Heredity (Edinb) JT - Heredity JID - 0373007 SB - IM EIN - Heredity (Edinb). 2021 Apr;126(4):706. PMID: 33597719 MH - *Demography MH - Humans MH - Models, Theoretical MH - *Population Density PMC - PMC6221895 COIS- The authors declare that they have no conflict of interest. EDAT- 2018/10/09 06:00 MHDA- 2019/10/29 06:00 PMCR- 2018/10/07 CRDT- 2018/10/09 06:00 PHST- 2018/07/15 00:00 [received] PHST- 2018/09/15 00:00 [accepted] PHST- 2018/09/14 00:00 [revised] PHST- 2018/10/09 06:00 [pubmed] PHST- 2019/10/29 06:00 [medline] PHST- 2018/10/09 06:00 [entrez] PHST- 2018/10/07 00:00 [pmc-release] AID - 10.1038/s41437-018-0148-0 [pii] AID - 148 [pii] AID - 10.1038/s41437-018-0148-0 [doi] PST - ppublish SO - Heredity (Edinb). 2018 Dec;121(6):663-678. doi: 10.1038/s41437-018-0148-0. Epub 2018 Oct 7.