DOI: 10.1101/457556Oct 30, 2018Paper

Detecting spatial dynamics of range expansions with geo-referenced genome-wide SNP data and the geographic spectrum of shared alleles

BioRxiv : the Preprint Server for Biology
Diego F Alvarado-Serrano, Michael J. Hickerson


Uncovering the spatial dynamics of range expansions is a major goal in studies of historical demographic inference, with applications ranging from understanding the evolutionary origins of domesticated crops, epidemiology, invasive species, and understanding species-level responses to climate change. Following the surge in advances that make explicit use of the spatial distribution of genetic data from geo-referenced SNP variants, we present a novel summary statistic vector, the geographic spectrum of shared alleles (GSSA). Using simulations of two-dimensional serial expansion, we find that the information from the GSSA, summarized with Harpending Raggedness Index (RI), can accurately detect the spatial origins of a range expansion under serial founder models, even with sparse sampling of only ten individuals. When applying to SNP data from two species of the holarctic butterfly genus Lycaeides , the suggested origins of expansion are consistent with hindcasts obtained from ecological niche models (ENMs). These results demonstrate the GSSA to be a useful exploratory tool for generating hypotheses of range expansion with genome-wide SNP data. Our simulation experiments suggest high performance even with sampling found in studies...Continue Reading

Related Concepts

Related Feeds

BioRxiv & MedRxiv Preprints

BioRxiv and MedRxiv are the preprint servers for biology and health sciences respectively, operated by Cold Spring Harbor Laboratory. Here are the latest preprint articles (which are not peer-reviewed) from BioRxiv and MedRxiv.

Related Papers

Proceedings of the National Academy of Sciences of the United States of America
Kenneth M Olsen, Briana L Gross
Evolution; International Journal of Organic Evolution
Benjamin M Peter, Montgomery Slatkin
© 2021 Meta ULC. All rights reserved