Ancestry inference using reference labeled clusters of haplotypes.

BACKGROUND: We present ARCHes, a fast and accurate haplotype-based approach for inferring an individual's ancestry composition. Our approach works by modeling haplotype diversity from a large, admixed cohort of hundreds of thousands, then annotating those models with population information from reference panels of known ancestry. RESULTS: The running time of ARCHes does not depend on the size of a reference panel because training and testing are separate processes, and the inferred population-annotated haplotype models can be written to disk and reused to label large test sets in parallel (in our experiments, it averages less than one minute to assign ancestry from 32 populations using 10 CPU). We test ARCHes on public data from the 1000 Genomes Project and the Human Genome Diversity Project (HGDP) as well as simulated examples of known admixture. CONCLUSIONS: Our results demonstrate that ARCHes outperforms RFMix at correctly assigning both global and local ancestry at finer population scales regardless of the amount of population admixture.

Beyond clines: lineages and haplotype blocks in hybrid zones.

Hybrid zones formed between recently diverged populations offer an opportunity to study the mechanisms underlying reproductive isolation and the process of speciation. Here, we use a combination of analytical theory and explicit forward simulations to describe how selection against hybrid genotypes impacts patterns of introgression across genomic and geographic space. By describing how lineages move across the hybrid zone, in a model without coalescence, we add to modern understanding of how clines form and how parental haplotypes are broken up during introgression. Working with lineages makes it easy to see that clines form in about 1/s generations, where s is the strength of selection against hybrids, and linked clines persist over a genomic scale of 1/T, where T is the age, in generations, of the hybrid zone. Locally disadvantageous alleles tend to exist as small families, whose lineages trace back to the side from which they originated at speed s dispersal distances per generation. The lengths of continuous tracts of ancestry provide an additional source of information: blocks of ancestry surrounding incompatibilities can be substantially longer than the genomewide average block length at the same spatial location, an observation that might be used to identify candidate targets of selection.

A Maladaptive Combination of Traits Contributes to the Maintenance of a Drosophila Hybrid Zone.

Drosophila teissieri and D. yakuba diverged approximately 3 mya and are thought to share a large, ancestral, African range [1-3]. These species now co-occur in parts of continental Africa and in west Africa on the island of Bioko [1, 4]. While D. yakuba is a human commensal, D. teissieri seems to be associated with Parinari fruits, restricting its range to forests [4-6]. Genome data indicate introgression, despite no evidence of contemporary hybridization. Here we report the discovery of D. yakuba-D. teissieri hybrids at the interface of secondary forests and disturbed, open habitats on Bioko. We demonstrate that hybrids are the F1 progeny of D. yakuba females and D. teissieri males. At high temperatures like those found on Bioko, D. teissieri females are generally less receptive to mating, and in combination with temperature effects on egg lay and egg-to-adult viability, this decreases the potential for gene flow between female D. teissieri and male D. yakuba relative to the reciprocal cross. Field and laboratory experiments demonstrate that F1 hybrids have a maladaptive combination of D. yakuba behavior and D. teissieri physiology, generating additional barriers to gene flow. Nevertheless, analysis of introgressed and non-introgressed regions of the genome indicate that, while rare, gene flow is relatively recent. Our observations identify precise intrinsic and extrinsic factors that, along with hybrid male sterility, limit gene flow and maintain these species. These data contribute to a growing body of literature that suggests the Gulf of Guinea may be a hotspot for hybridization.

Genomic Patterns of Geographic Differentiation in Drosophila simulans.

Geographic patterns of genetic differentiation have long been used to understand population history and to learn about the biological mechanisms of adaptation. Here we present an examination of genomic patterns of differentiation between northern and southern populations of Australian and North American Drosophila simulans, with an emphasis on characterizing signals of parallel differentiation. We report on the genomic scale of differentiation and functional enrichment of outlier SNPs. While, overall, signals of shared differentiation are modest, we find the strongest support for parallel differentiation in genomic regions that are associated with regulation. Comparisons to Drosophila melanogaster yield potential candidate genes involved in local adaptation in both species, providing insight into common selective pressures and responses. In contrast to D. melanogaster, in D. simulans we observe patterns of variation that are inconsistent with a model of temperate adaptation out of a tropical ancestral range, highlighting potential differences in demographic and colonization histories of this cosmopolitan species pair.

The Spatial Mixing of Genomes in Secondary Contact Zones.

Recent genomic studies have highlighted the important role of admixture in shaping genome-wide patterns of diversity. Past admixture leaves a population genomic signature of linkage disequilibrium (LD), reflecting the mixing of parental chromosomes by segregation and recombination. These patterns of LD can be used to infer the timing of admixture, but the results of inference can depend strongly on the assumed demographic model. Here, we introduce a theoretical framework for modeling patterns of LD in a geographic contact zone where two differentiated populations have come into contact and are mixing by diffusive local migration. Assuming that this secondary contact is recent enough that genetic drift can be ignored, we derive expressions for the expected LD and admixture tract lengths across geographic space as a function of the age of the contact zone and the dispersal distance of individuals. We develop an approach to infer age of contact zones, using population genomic data from multiple spatially sampled populations by fitting our model to the decay of LD with recombination distance. To demonstrate an application of our model, we use our approach to explore the fit of a geographic contact zone model to three human genomic data sets from populations in Indonesia, Central Asia, and India and compare our results to inference under different demographic models. We obtain substantially different results from those of the commonly used model of panmictic admixture, highlighting the sensitivity of admixture timing results to the choice of demographic model.