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Abstract:

Bayesian clustering as implemented in STRUCTURE or GENELAND software is widely used to form genetic 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 report the use of a dataset of AFLP markers belonging to 15 sampling sites of Acacia caven for studying the genetic structure and comparing the consistency of three methods: STRUCTURE, GENELAND and DAPC. Of these methods, DAPC was the fastest one and showed accuracy in inferring the K number of populations (K = 12 using the find.clusters option and K = 15 with a priori information of populations). GENELAND in turn, provides information on 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, presenting the result K = 11 without prior information of populations and K = 15 using the LOCPRIOR option. Finally, in this work all three methods showed high consistency in 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. © 2014, Sociedade Brasileira de Genética. Printed in Brazil.

Registro:

Documento: Artículo
Título:Analysis of genetic population structure in Acacia caven (Leguminosae, Mimosoideae), comparing one exploratory and two Bayesian-model-based methods
Autor:Pometti, C.L.; Bessega, C.F.; Saidman, B.O.; Vilardi, J.C.
Filiación:Departamento de Ecología, Genética y Evolución, Universidad de Buenos Aires, Buenos Aires, Argentina
Instituto de Ecología, Genética y Evolución de Buenos Aires, Consejo Nacional de Investigaciones Científicas y Técnicas, Buenos Aires, Argentina
Palabras clave:Acacia caven; AFLP; DAPC; GENELAND; Acacia; Acacia caven; amplified fragment length polymorphism; article; Bayes theorem; controlled study; genetic variability; intermethod comparison; measurement accuracy; nonhuman; population genetics; population structure; probability
Año:2014
Volumen:37
Número:1
Página de inicio:64
Página de fin:72
DOI: http://dx.doi.org/10.1590/S1415-47572014000100012
Título revista:Genetics and Molecular Biology
Título revista abreviado:Genet. Mol. Biol.
ISSN:14154757
CODEN:GMBIF
Registro:https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_14154757_v37_n1_p64_Pometti

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Citas:

---------- APA ----------
Pometti, C.L., Bessega, C.F., Saidman, B.O. & Vilardi, J.C. (2014) . Analysis of genetic population structure in Acacia caven (Leguminosae, Mimosoideae), comparing one exploratory and two Bayesian-model-based methods. Genetics and Molecular Biology, 37(1), 64-72.
http://dx.doi.org/10.1590/S1415-47572014000100012
---------- CHICAGO ----------
Pometti, C.L., Bessega, C.F., Saidman, B.O., Vilardi, J.C. "Analysis of genetic population structure in Acacia caven (Leguminosae, Mimosoideae), comparing one exploratory and two Bayesian-model-based methods" . Genetics and Molecular Biology 37, no. 1 (2014) : 64-72.
http://dx.doi.org/10.1590/S1415-47572014000100012
---------- MLA ----------
Pometti, C.L., Bessega, C.F., Saidman, B.O., Vilardi, J.C. "Analysis of genetic population structure in Acacia caven (Leguminosae, Mimosoideae), comparing one exploratory and two Bayesian-model-based methods" . Genetics and Molecular Biology, vol. 37, no. 1, 2014, pp. 64-72.
http://dx.doi.org/10.1590/S1415-47572014000100012
---------- VANCOUVER ----------
Pometti, C.L., Bessega, C.F., Saidman, B.O., Vilardi, J.C. Analysis of genetic population structure in Acacia caven (Leguminosae, Mimosoideae), comparing one exploratory and two Bayesian-model-based methods. Genet. Mol. Biol. 2014;37(1):64-72.
http://dx.doi.org/10.1590/S1415-47572014000100012