Spatially explicit estimation of recent migration rates in plants using genotypic data.

ABSTRACT: We present a new hierarchical Bayesian method using multilocus genotypes to estimate recent seed and pollen migration rates in a spatially explicit framework that incorporates distance effects separately for each type of dispersal. The method additionally estimates population allelic frequencies, population divergence values, individual inbreeding coefficients, individual maternal and paternal ancestries, and allelic dropout rates. We conduct a numerical simulation analysis that indicates that the method can provide reliable estimates of seed and pollen migration rates and allow accurate inference of spatial effects on migration, at affordable sample sizes (25-50 individuals/population) when population genetic divergence is not low (FST≥0.05), or by increasing sampling (to at least 100 ind

SUBMITTER: Chybicki IJ 

PROVIDER: S-EPMC11796463 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature