Nonstationary patterns of isolation-by-distance: inferring measures of local genetic differentiation with Bayesian kriging.

摘要: Patterns of isolation-by-distance (IBD) arise when population differentiation increases with increasing geographic distances. IBD are usually caused by local spatial dispersal, which explains why differences allele frequencies between populations accumulate distance. However, variations demographic parameters such as migration rate or density can generate nonstationary patterns where the at genetic accumulates varies across space. To characterize IBD, we infer based on Bayesian kriging. Local for a sampled is defined average and fictive neighboring populations. avoid defining in advance, method also be applied scale individuals making it relevant landscape genetics. Inference relies matrix pairwise similarity dissimilarity matrices FST pairs Simulation studies show that maps reveal barriers to gene flow but other continuous habitat. The potential illustrated two datasets: single nucleotide polymorphisms from human Swedish dominant markers alpine plant species.