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

The evolution of genetic topologies.

Theoretical population biology - 1 Feb 2007

Dyer Rodney J

Abstract excerpt

This manuscript explores the simultaneous evolution of population genetic parameters and topological features within a population graph through a series of Monte Carlo simulations. I show that node centrality and graph breadth are significantly correlated to population genetic parameters Phi(ST) and M; (rho=-0.95;rho=-0.98, respectively), which are commonly used in quantifying among population genetic structure...

Read the complete abstract on PubMed

Topics

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

Share to Biological Evolution
Share to Genetic Drift
Share to Genetic Structures

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Genetic Variation

Share to Genetics, Population

Share to Models, Genetic

Share to Monte Carlo Method

Source

Identifiers

PMID: 16919694
DOI: 10.1016/j.tpb.2006.07.001

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.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

The evolution of genetic topologies.PMID 16919694Read ↗

Genomic Data Describe Population Structure but Struggle to Estimate Directed Connectivity Networks.Semantic proximity Read ↗

Network-based genetic monitoring of landscape fragmentation.Semantic proximity Read ↗

Population Graphs: the graph theoretic shape of genetic structure.Semantic proximity Read ↗

Landscape modelling of gene flow: improved power using conditional genetic distance derived from the topology of population networks.Semantic proximity Read ↗

Centrality to the metapopulation is more important for population genetic diversity than habitat area or fragmentation.Semantic proximity Read ↗

Estimating recent migration and population size surfacesSemantic proximity Read ↗

Network analyses structure genetic diversity in independent genetic worlds.Semantic proximity Read ↗

Genetic diversity in a long-lived mammal is explained by the past's demographic shadow and current connectivity.Semantic proximity Read ↗

What is a population? An empirical evaluation of some genetic methods for identifying the number of gene pools and their degree of connectivity.Semantic proximity Read ↗

Inference and analysis of population structure using genetic data and network theorySemantic proximity Read ↗

Evolution reverses the effect of network structure on metapopulation persistence.Semantic proximity Read ↗

On the limits of fitting complex models of population history to genetic dataSemantic proximity Read ↗

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