Visualizing spatial population structure with estimated effective migration surfaces
By Desislava Petkova, John Novembre, Matthew Stephens. Nature Genetics, 2014
602 citations recorded by the source corpus.
Genetic data often exhibit patterns broadly consistent with 'isolation by distance'—a phenomenon where genetic similarity decays with geographic distance. In a heterogeneous habitat, this may occur more quickly in some regions than in others: for example, barriers to gene flow can accelerate differentiation between neighboring groups. 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 visualize variation in effective migration across a habitat from geographically indexed genetic data. Our approach uses a population genetic model to relate effective migration rates to expected genetic dissimilarities. We illustrate its potential and limitations using simulations and data from elephant, human and Arabidopsis thaliana populations. The resulting visualizations highlight important spatial features of population structure that are difficult to discern using existing methods for summarizing genetic variation.
Subfields: Genetics
View Paper: https://www.semanticscholar.org/paper/04fdfa8c4c881cb1a45c04224edd53c76e89f0b9
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In Genetics
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Citations in the corpus
- Spatial Population Genetics: It's About Time (2019, methodology): “…computational tools for simulating spatial models (Haller & Messer 2018, Haller et al. 2019), and new statistical paradigms for modeling those data (Petkova et al. 2016; Ringbauer et al. 2017, 2018; Bradburd et al. 2018; Al-Asadi et al. 2019) are together bringing an understanding of the…”
- Beyond Reproductive Isolation: Demographic Controls on the Speciation Process (2019, background): “…results, with many reporting a negative association between traits related to dispersal and speciation rates ( Jablonski 1986, Claramunt et al. 2011,Weeks & Claramunt 2014), others little association (Kisel et al. 2012), and some a positive relationship (Phillimore et al. 2006, Krug et al. 2015).”