The impact of estimator choice: Disagreement in clustering solutions across K estimators for Bayesian analysis of population genetic structure across a wide range of empirical datasets

Kathryn Stankiewicz, Kate Vasquez Kuntz, Jean-Baptiste Ledoux, Didier Aurelle, Joaquim Garrabou, Yuichi Nakajima, Mikael Dahl, Yuna Zayasu, Sabri Jaziri, Federica Costantini & Iliana Baums
The software program STRUCTURE is one of the most cited tools for determining population structure. To infer the optimal number of clusters from STRUCTURE output, the ΔK method is often applied. However, a recent study relying on simulated microsatellite data suggested that this method has a downward bias in its estimation of K and is sensitive to uneven sampling. If this finding holds for empirical datasets, conclusions about the scale of gene flow may have...
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