Analysis of genetic population structure in Acacia caven (Leguminosae, Mimosoideae), comparing one exploratory and two Bayesian-model-based methods

POMETTI C; BESSEGA C.; B. O. SAIDMAN; VILARDI J. C.

GENETICS AND MOLECULAR BIOLOGY

SOC BRASIL GENETICA

Año: 2014 vol. 37 p. 64 - 72

1415-4757

Bayesian clustering as implemented in STRUCTURE or GENELAND are widely used to form genetics groups of populations or individuals. On the other hand, in order to satisfy the need for less computer intensive approaches, multivariate analyses are specifically devoted to extracting information from large datasets. In this paper, we use a data set of AFLP markers belonging to 15 sampling sites of Acacia caven to study the genetic structure and compare the consistency of three methods (STRUCTURE, GENELAND and DAPC). Of these methods, DAPC resulted the fasted one and showed accuracy on inferring the K number of populations (K=12 using the find.clusters option and K=15 with a priori information of populations). GENELAND in addition, gives information of the area of membership probabilities for individuals or populations in the space, when coordinates are specified (K=12). STRUCTURE also inferred the number of K populations and the membership probabilities of individuals based on ancestry, giving K=11 without prior information of populations and K=15 using the LOCPRIOR option. Finally, in this work all methods have shown high consistency on estimating the population structure, inferring similar numbers of populations and the membership probabilities of individuals to each group with a high correlation between each other.