Data for: Sampling affects population genetic inference: a case study of the Allen's (Selasphorus sasin) and rufous hummingbird (Selasphorus rufus) (Part 1/2)
Data files
Oct 02, 2023 version files 255.01 GB
Abstract
Gene flow can affect evolutionary inference when species are undersampled. Here, we evaluate the effects of gene flow and geographic sampling on demographic inference of two hummingbirds that hybridize, Allen's hummingbird (Selasphorus sasin), and the rufous hummingbird (S. rufus). Using whole-genome data and extensive geographic sampling, we find widespread connectivity, with introgression far beyond the Allen's × rufous hybrid zone, although the Z chromosome resists introgression beyond the hybrid zone. We test alternative hypotheses of speciation history of Allen's, rufous, and Calliope (S. calliope) hummingbirds and find that the rufous hummingbird is the sister taxon to Allen's hummingbird, and the Calliope hummingbird is the outgroup. A model treating the two subspecies of Allen's hummingbird as a single panmictic population fit observed genetic data better than models treating the subspecies as distinct populations, in contrast to morphological and behavioral differences and analyses of spatial population structure. With additional sampling, our study builds upon recent studies that came to conflicting conclusions regarding the evolutionary histories of these two species. Our results stress the importance of thorough geographic sampling when assessing demographic history in the presence of gene flow.
README: Sampling affects population genetic inference: a case study of the Allen's (Selasphorus sasin) and rufous hummingbird (Selasphorus rufus)
https://doi.org/10.5061/dryad.8gtht76vc
Description of the data and file structure
Fastq files that were aligned to the Anna's Hummingbird reference genome.
Names of individuals are named as they are described in the supplemental material tables.
Methods
Fastq files that were aligned to the Anna's Hummingbird reference genome.