Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

A new individual-based spatial approach for identifying genetic discontinuities in natural populations.

Molecular ecology - 1 May 2007

Manel S, Berthoud F, Bellemain E, Gaudeul M, Luikart G, Swenson J E, Waits L P, Taberlet P

Abstract excerpt

The population concept is central in evolutionary and conservation biology, but identifying the boundaries of natural populations is often challenging. Here, we present a new approach for assessing spatial genetic structure without the a priori assumptions on the locations of populations made by adopting an individual-centred approach. Our method is based on assignment tests applied in a moving window over an...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Computer Simulation
Share to Demography
Share to Europe

Methodology Data sources Editorial policy Privacy Delete account & data About Contact Helena Bioinformatics

Share to Gene Flow

Share to Models, Theoretical

Share to Polymorphism, Restriction Fragment Length

Share to Population Dynamics

Share to Ursidae

Source

Identifiers

PMID: 17498230
DOI: 10.1111/j.1365-294X.2007.03293.x

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-08.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence. Graph snapshot: 2026-09-29.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

A new individual-based spatial approach for identifying genetic discontinuities in natural populations.PMID 17498230Read ↗

A spatial statistical model for landscape genetics.Semantic proximity Read ↗

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

Inferring Continuous and Discrete Population Genetic Structure Across Space.Semantic proximity Read ↗

Isolation by distance, resistance and/or clusters? Lessons learned from a forest-dwelling carnivore inhabiting a heterogeneous landscape.Semantic proximity Read ↗

A method for detecting population genetic structure in diverse, high gene-flow species.Semantic proximity Read ↗

Understanding population structure in an evolutionary context: population-specific <i>F</i> <sub>ST</sub> and pairwise <i>F</i> <sub>ST</sub>Semantic proximity Read ↗

Estimation of spatial demographic maps from polymorphism data using a neural network.Semantic proximity Read ↗

Revealing cryptic spatial patterns in genetic variability by a new multivariate method.Semantic proximity Read ↗

Jointly representing long-range genetic similarity and spatially heterogeneous isolation-by-distanceSemantic proximity Read ↗

Genetics in geographically structured populations: defining, estimating and interpreting F(ST).Semantic proximity Read ↗

Spatial genetic analyses reveal cryptic population structure and migration patterns in a continuously harvested grey wolf (Canis lupus) population in north-eastern Europe.Semantic proximity Read ↗

A unifying model for the analysis of phenotypic, genetic, and geographic data.Semantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.