ArticleEcology and evolution2016
Directional genetic differentiation and relative migration.
Article in Ecology and evolution, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 139 papers.
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Who cites it
139 citing papers in PubMed.
- Local Adaptation to Current but Not Future Climate in Seasonally Dry Tropical Forests: Population Genomic Evidence in a Neotropical Legume Tree.Evolutionary applications · 2026Article
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- Population Genetics ofEcology and evolution · 2026Article
- When recreational infrastructure contributes to endangered species conservation: genetic evaluation of translocated Primula vulgaris (Primulaceae) populations in a golf course area.Annals of botany · 2026Article
- Genetic Pattern and Diversity of Barbatia virescens: A RAD-Seq Analysis of Five Geographically Distributed Populations.Biochemical genetics · 2026Article
- Population Genomics Highlight the Vulnerability of Coral-Dwelling Gobies to Ecological Losses due to Climatic Disturbances.Molecular ecology · 2026Article
- Genomic Data Describe Population Structure but Struggle to Estimate Directed Connectivity Networks.Molecular ecology resources · 2026Article
- Refugia, but Not for Everyone: Genetic Structure Differentiates Shallow and Mesophotic Populations of the Brooder Sponge Ircinia variabilis.Molecular ecology · 2026Article
- Genetic Analysis Reveals Relationships Among Populations ofJournal of fungi (Basel, Switzerland) · 2026Article
- Within-Population Genetic Structuring of the Cosmopolitan FungusEcology and evolution · 2026Article
- Macrogenetic Alignment in Ecological Strategies Better Interprets Assembly Processes Than Pre-Determined Functional Groupings.Ecology letters · 2026Article
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- Environmental Gradients Decouple Demographic and Adaptive Connectivity in a Highly Mobile Coastal Marine Species.Molecular ecology · 2026Article
- The role of latitude and the Carpathian Mountain barrier in the spatial spread and population bottlenecks of Schizophyllum commune.BMC microbiology · 2026Article
- Genotyping-by-Sequencing Reveals Low Genetic Diversity and Pronounced Geographic Structuring in the Endangered Medicinal PlantPlants (Basel, Switzerland) · 2026Article
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- Population genetic structure and connectivity ofFrontiers in plant science · 2026Article
- Genetic Population Structure of the Italian Wall LizardsEcology and evolution · 2026Article
- Semi-connected structure and asymmetric gene flow ofFrontiers in plant science · 2026Article
79 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Understanding the population structure and patterns of gene flow within species is of fundamental importance to the study of evolution. In the fields of population and evolutionary genetics, measures of genetic differentiation are commonly used to gather this information. One potential caveat is that these measures assume gene flow to be symmetric. However, asymmetric gene flow is common in nature, especially in systems driven by physical processes such as wind or water currents. As information about levels of asymmetric gene flow among populations is essential for the correct interpretation of the distribution of contemporary genetic diversity within species, this should not be overlooked. To obtain information on asymmetric migration patterns from genetic data, complex models based on maximum-likelihood or Bayesian approaches generally need to be employed, often at great computational cost. Here, a new simpler and more efficient approach for understanding gene flow patterns is presented. This approach allows the estimation of directional components of genetic divergence between pairs of populations at low computational effort, using any of the classical or modern measures of genetic differentiation. These directional measures of genetic differentiation can further be used to calculate directional relative migration and to detect asymmetries in gene flow patterns. This can be done in a user-friendly web application called divMigrate-online introduced in this study. Using simulated data sets with known gene flow regimes, we demonstrate that the method is capable of resolving complex migration patterns under a range of study designs.
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