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Genetics. 2014 Nov;198(3):1209-29. doi: 10.1534/genetics.114.166793. Epub 2014 Sep 5.

Autosomal admixture levels are informative about sex bias in admixed populations.

Author information

1
Department of Biology, Stanford University, Stanford, California 94305-5020 agoldb@stanford.edu.
2
Centre National de la Recherche Scientifique-Muséum National d'Histoire Naturelle, Université Paris Diderot, Unité Mixte de Recherche 7206, Ecoanthropology and Ethnobiology, Paris, France 75005.
3
Department of Biology, Stanford University, Stanford, California 94305-5020.

Abstract

Sex-biased admixture has been observed in a wide variety of admixed populations. Genetic variation in sex chromosomes and functions of quantities computed from sex chromosomes and autosomes have often been examined to infer patterns of sex-biased admixture, typically using statistical approaches that do not mechanistically model the complexity of a sex-specific history of admixture. Here, expanding on a model of Verdu and Rosenberg (2011) that did not include sex specificity, we develop a model that mechanistically examines sex-specific admixture histories. Under the model, multiple source populations contribute to an admixed population, potentially with their male and female contributions varying over time. In an admixed population descended from two source groups, we derive the moments of the distribution of the autosomal admixture fraction from a specific source population as a function of sex-specific introgression parameters and time. Considering admixture processes that are constant in time, we demonstrate that surprisingly, although the mean autosomal admixture fraction from a specific source population does not reveal a sex bias in the admixture history, the variance of autosomal admixture is informative about sex bias. Specifically, the long-term variance decreases as the sex bias from a contributing source population increases. This result can be viewed as analogous to the reduction in effective population size for populations with an unequal number of breeding males and females. Our approach suggests that it may be possible to use the effect of sex-biased admixture on autosomal DNA to assist with methods for inference of the history of complex sex-biased admixture processes.

KEYWORDS:

admixture; demographic inference; model; population history; sex bias

PMID:
25194159
PMCID:
PMC4224161
DOI:
10.1534/genetics.114.166793
[Indexed for MEDLINE]
Free PMC Article

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