The K = 2 conundrum

Assessments of population genetic structure have become an increasing focus as they can provide valuable insight into patterns of migration and gene flow. structure, the most highly cited of several clustering‐based methods, was developed to provide robust estimates without the need for populations...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Molecular ecology Jg. 26; H. 14; S. 3594 - 3602
Hauptverfasser: Janes, Jasmine K., Miller, Joshua M., Dupuis, Julian R., Malenfant, René M., Gorrell, Jamieson C., Cullingham, Catherine I., Andrew, Rose L.
Format: Journal Article
Sprache:Englisch
Veröffentlicht: England Blackwell Publishing Ltd 01.07.2017
Schlagworte:
Biological effects
Cluster Analysis
Clustering
clustering methods
Clusters
conservation
delta K
founder effect
Gene Flow
Genetic structure
Genetics, Population - methods
management
Migration
Models, Genetic
optimal K
Population
population genetic structure
Population genetics
Population structure
Population studies
Readers
Research Design
Structural hierarchy
Subpopulations
clustering methods
optimal K
conservation
delta K
population genetic structure
management
ISSN:0962-1083, 1365-294X, 1365-294X
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:Assessments of population genetic structure have become an increasing focus as they can provide valuable insight into patterns of migration and gene flow. structure, the most highly cited of several clustering‐based methods, was developed to provide robust estimates without the need for populations to be determined a priori. structure introduces the problem of selecting the optimal number of clusters, and as a result, the ΔK method was proposed to assist in the identification of the “true” number of clusters. In our review of 1,264 studies using structure to explore population subdivision, studies that used ΔK were more likely to identify K = 2 (54%, 443/822) than studies that did not use ΔK (21%, 82/386). A troubling finding was that very few studies performed the hierarchical analysis recommended by the authors of both ΔK and structure to fully explore population subdivision. Furthermore, extensions of earlier simulations indicate that, with a representative number of markers, ΔK frequently identifies K = 2 as the top level of hierarchical structure, even when more subpopulations are present. This review suggests that many studies may have been over‐ or underestimating population genetic structure; both scenarios have serious consequences, particularly with respect to conservation and management. We recommend publication standards for population structure results so that readers can assess the implications of the results given their own understanding of the species biology.
Bibliographie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ObjectType-Review-3
content type line 23
ISSN:0962-1083
1365-294X
1365-294X
DOI:10.1111/mec.14187