STRUCTURE is more robust than other clustering methods in simulated mixed-ploidy populations.

ABSTRACT: Analysis of population genetic structure has become a standard approach in population genetics. In polyploid complexes, clustering analyses can elucidate the origin of polyploid populations and patterns of admixture between different cytotypes. However, combining diploid and polyploid data can theoretically lead to biased inference with (artefactual) clustering by ploidy. We used simulated mixed-ploidy (diploid-autotetraploid) data to systematically compare the performance of k-means clustering and the model-based clustering methods implemented in STRUCTURE, ADMIXTURE, FASTSTRUCTURE and INSTRUCT under different scenarios of differentiation and with different marker types. Under scenarios of strong population differentiation, the tested applications performed equally well. However, when pop

SUBMITTER: Stift M 

PROVIDER: S-EPMC6781132 | biostudies-literature | 2019 Oct

REPOSITORIES: biostudies-literature