The IICR (inverse instantaneous coalescence rate) as a summary of genomic diversity: insights into demographic inference and model choice. (January 2018)

• Record Type: Journal Article
• Authors: Chikhi, Lounès; Rodríguez, Willy; Grusea, Simona; Santos, Patrícia; Boitard, Simon; Mazet, Olivier
• Is Part Of: Heredity. Volume 120:Number 1(2018)
• Page Start: 13
• Page End: 24
• Publication Date: 2018-01
• Subjects: Genetics -- Periodicals; Heredity -- Periodicals; Evolution -- Periodicals
• DOI: 10.1038/s41437-017-0005-6
• Languages: English
• ISSNs: 0018-067X

Abstract

Abstract Several inferential methods using genomic data have been proposed to quantify and date population size changes in the history of species. At the same time an increasing number of studies have shown that population structure can generate spurious signals of population size change. Recently, Mazet et al. (2016) introduced, for a sample size of two, a time-dependent parameter, which they called the IICR (inverse instantaneous coalescence rate). The IICR is equivalent to a population size in panmictic models, but not necessarily in structured models. It is characterised by a temporal trajectory that suggests population size changes, as a function of the sampling scheme, even when the total population size was constant. Here, we extend the work of Mazet et al. (2016) by (i) showing how the IICR can be computed for any demographic model of interest, under the coalescent, (ii) applying this approach to models of population structure (1D and 2D stepping stone, split models, two- and three-island asymmetric gene flow, continent-island models), (iii) stressing the importance of the sampling strategy in generating different histories, (iv) arguing that IICR plots can be seen as summaries of genomic information that can thus be used for model choice or model exclusion (v) applying this approach to the question of admixture between humans and Neanderthals. Altogether these results are potentially important given that the widely used PSMC (pairwise sequentially Markovian coalescent) method of Li and Durbin (2011) estimates the IICR of the sample, not necessarily the history of the populations.