Nov 26, 2014

Visualizing spatial population structure with estimated effective migration surfaces

BioRxiv : the Preprint Server for Biology
Desislava PetkovaMatthew Stephens

Abstract

Genetic data often exhibit patterns that are broadly consistent with “isolation by distance” – a phenomenon where genetic similarity tends to decay with geographic distance. In a heterogeneous habitat, decay may occur more quickly in some regions than others: for example, barriers to gene flow can accelerate the genetic differentiation between groups located close in space. We use the concept of “effective migration” to model the relationship between genetics and geography: in this paradigm, effective migration is low in regions where genetic similarity decays quickly. We present a method to quantify and visualize variation in effective migration across the habitat, which can be used to identify potential barriers to gene flow, from geographically indexed large-scale genetic data. Our approach uses a population genetic model to relate underlying migration rates to expected pairwise genetic dissimilarities, and estimates migration rates by matching these expectations to the observed dissimilarities. We illustrate the potential and limitations of our method using simulations and data from elephant, human, and Arabidopsis thaliana populations. The resulting visualizations highlight important features of the spatial population stru...Continue Reading

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Mentioned in this Paper

Genetic Drift
Anatomical Space Structure
Arabidopsis thaliana extract
Structure
Simulation
Analysis
Surface
Arabidopsis thaliana <plant>
Migration, Cell
Population Group

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