MEMGENE: Spatial pattern detection in genetic distance data

摘要: Summary 1. Landscape genetics studies using neutral markers have focused on the relationship between gene flow and landscape features. Spatial patterns in genetic distances among individuals may reflect spatially uneven of caused by features that influence movement dispersal. 2. We present a method software for identifying spatial neighbourhoods distance data adopts regression framework where predictors are generated Moran’s eigenvectors maps (MEM), multivariate technique developed ecological analyses recommended applications. 3. Using simulated data, we show our MEMGENE can recover reflecting influenced flow. also apply to from highly vagile ungulate population demonstrate aligned with river likely reduce, but not eliminate, 4. package R order detect visualize relatively weak or cryptic aid researchers generating hypotheses about processes underlie these patterns. provides flexible set functions be used modify analysis. Detailed supplementary documentation tutorials provided.