The Drosophila Genome Nexus: a population genomic resource of 605 Drosophila melanogaster genomes, including 197 genomes from a single ancestral range population

Justin Lack, Charis Cardeno, Marc Crepeau, William Taylor, Russ Corbett-Detig, Kristian Stevens, Charles H. Langley, John Pool
doi: http://dx.doi.org/10.1101/009886

Hundreds of wild-derived D. melanogaster genomes have been published, but rigorous comparisons across data sets are precluded by differences in alignment methodology. The most common approach to reference-based genome assembly is a single round of alignment followed by quality filtering and variant detection. We evaluated variations and extensions of this approach, and settled on an assembly strategy that utilizes two alignment programs and incorporates both SNPs and short indels to construct an updated reference for a second round of mapping prior to final variant detection. Utilizing this approach, we reassembled published D. melanogaster population genomic data sets (previous DPGP releases and the DGRP freeze 2.0), and added unpublished genomes from several sub-Saharan populations. Most notably, we present aligned data from phase 3 of the Drosophila Population Genomics Project (DPGP3), which provides 197 genomes from a single ancestral range population of D. melanogaster (from Zambia). The large sample size, high genetic diversity, and potentially simpler demographic history of the DPGP3 sample will make this a highly valuable resource for fundamental population genetic research. The complete set of assemblies described here, termed the Drosophila Genome Nexus, presently comprises 605 consistently aligned genomes, and is publicly available in multiple formats with supporting documentation and bioinformatic tools. This resource will greatly facilitate population genomic analysis in this model species by reducing the methodological differences between data sets.

Reticulate speciation and adaptive introgression in the Anopheles gambiae species complex

Jacob Crawford, Michelle M. Riehle, Wamdaogo M. Guelbeogo, Awa Gneme, N’fale Sagnon, Kenneth D. Vernick, Rasmus Nielsen, Brian P. Lazzaro
doi: http://dx.doi.org/10.1101/009837

Species complexes are common, especially among insect disease vectors, and understanding how barriers to gene flow among these populations become established or violated is critical for implementation of vector-targeting disease control. Anopheles gambiae, the primary vector of human malaria in sub-Saharan Africa, exists as a series of ecologically specialized populations that are phylogenetically nested within a species complex. These populations exhibit varying degrees of reproductive isolation, sometimes recognized as distinct subspecies. We have sequenced 32 complete genomes from field-captured individuals of Anopheles gambiae, Anopheles gambiae M form (recently named A. coluzzii), sister species A. arabiensis, and the recently discovered “GOUNDRY” subgroup of A. gambiae that is highly susceptible to Plasmodium. Amidst a backdrop of strong reproductive isolation and adaptive differentiation, we find evidence for adaptive introgression of autosomal chromosomal regions among species and populations. The X chromosome, however, remains strongly differentiated among all of the subpopulations, pointing to a disproportionately large effect of X chromosome genes in driving speciation among anophelines. Strikingly, we find that autosomal introgression has occurred from contemporary hybridization among A. gambiae and A. arabiensis despite strong divergence (~5× higher than autosomal divergence) and isolation on the X chromosome. We find a large region of the X chromosome that has recently swept to fixation in the GOUNDRY subpopulation, which may be an inversion that serves as a partial barrier to gene flow. We also find that the GOUNDRY population is highly inbred, implying increased philopatry in this population. Our results show that ecological speciation in this species complex results in genomic mosaicism of divergence and adaptive introgression that creates a reticulate gene pool connecting vector populations across the speciation continuum with important implications for malaria control efforts.

On the prospect of identifying adaptive loci in recently bottlenecked populations
Yu-Ping Poh, Vera S Domingues, Hopi Hoekstra, Jeffrey Jensen
doi: http://dx.doi.org/10.1101/009456

Identifying adaptively important loci in recently bottlenecked populations—be it natural selection acting on a population following the colonization of novel habitats in the wild, or artificial selection during the domestication of a breed—remains a major challenge. Here we report the results of a simulation study examining the performance of available population-genetic tools for identifying genomic regions under selection. To illustrate our findings, we examined the interplay between selection and demography in two species of Peromyscus mice, for which we have independent evidence of selection acting on phenotype as well as functional evidence identifying the underlying genotype. With this unusual information, we tested whether population-genetic-based approaches could have been utilized to identify the adaptive locus. Contrary to published claims, we conclude that the use of the background site frequency spectrum as a null model is largely ineffective in bottlenecked populations. Results are quantified both for site frequency spectrum and linkage disequilibrium-based predictions, and are found to hold true across a large parameter space that encompasses many species and populations currently under study. These results suggest that the genomic footprint left by selection on both new and standing variation in strongly bottlenecked populations will be difficult, if not impossible, to find using current approaches.