Detecting the number of clusters of individuals using the software STRUCTURE: a simulation study.

Détails

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Etat: Serval
Version: de l'auteur
ID Serval
serval:BIB_2B5D8C9C02FA
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Titre
Detecting the number of clusters of individuals using the software STRUCTURE: a simulation study.
Périodique
Molecular Ecology
Auteur(s)
Evanno G., Regnaut S., Goudet J.
ISSN
0962-1083[print], 0962-1083[linking]
Statut éditorial
Publié
Date de publication
2005
Peer-reviewed
Oui
Volume
14
Numéro
8
Pages
2611-2620
Langue
anglais
Résumé
The identification of genetically homogeneous groups of individuals is a long standing issue in population genetics. A recent Bayesian algorithm implemented in the software STRUCTURE allows the identification of such groups. However, the ability of this algorithm to detect the true number of clusters (K) in a sample of individuals when patterns of dispersal among populations are not homogeneous has not been tested. The goal of this study is to carry out such tests, using various dispersal scenarios from data generated with an individual-based model. We found that in most cases the estimated 'log probability of data' does not provide a correct estimation of the number of clusters, K. However, using an ad hoc statistic DeltaK based on the rate of change in the log probability of data between successive K values, we found that STRUCTURE accurately detects the uppermost hierarchical level of structure for the scenarios we tested. As might be expected, the results are sensitive to the type of genetic marker used (AFLP vs. microsatellite), the number of loci scored, the number of populations sampled, and the number of individuals typed in each sample.
Mots-clé
Bayes Theorem, Computer Simulation, Gene Frequency, Genetics, Population, Microsatellite Repeats/genetics, Models, Genetic, Polymorphism, Restriction Fragment Length, Population Dynamics, Sample Size, Software
Pubmed
Web of science
Open Access
Oui
Création de la notice
24/01/2008 18:10
Dernière modification de la notice
08/05/2019 16:20
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