title: Evaluating the Influence of the Microsatellite Marker Set on the Genetic Structure Inferred in Pyrus communis L.
abstract: Fingerprinting information can be used to elucidate in a robust manner the genetic structure of germplasm collections, allowing a more rational and fine assessment of genetic resources. Bayesian model-based approaches are nowadays majorly preferred to infer genetic structure, but it is still largely unresolved how marker sets should be built in order to obtain a robust inference. The objective was to evaluate, in Pyrus germplasm collections, the influence of the SSR marker set size on the genetic structure inferred, also evaluating the influence of the criterion used to select those markers. Inferences were performed considering an increasing number of SSR markers that ranged from just two up to 25, incorporated one at a time into the analysis. The influence of the number of SSR markers used was evaluated comparing the number of populations and the strength of the signal detected, and also the similarity of the genotype assignments to populations between analyses. In order to test if those results were influenced by the criterion used to select the SSRs, several choosing scenarios based on the discrimination power or the fixation index values of the SSRs were tested. Our results indicate that population structure could be inferred accurately once a certain SSR number threshold was reached, which depended on the underlying structure within the genotypes, but the method used to select the markers included on each set appeared not to be very relevant. The minimum number of SSRs required to provide robust structure inferences and adequate measurements of the differentiation, even when low differentiation levels exist within populations, was proved similar to that of the complete list of recommended markers for fingerprinting. When a SSR set size similar to the minimum marker sets recommended for fingerprinting it is used, only major divisions or moderate (FST>0.05) differentiation of the germplasm are detected.
authors.affiliation: Departamento de Producción Agraria, Universidad Pública de Navarra, Pamplona, Navarra, Spain.
authors.forename: Jorge
authors.initials: J
authors.lastname: Urrestarazu
authors.affiliation: Departamento de Producción Agraria, Universidad Pública de Navarra, Pamplona, Navarra, Spain.
authors.forename: José B
authors.initials: JB
authors.lastname: Royo
authors.affiliation: Departamento de Producción Agraria, Universidad Pública de Navarra, Pamplona, Navarra, Spain.
authors.forename: Luis G
authors.initials: LG
authors.lastname: Santesteban
authors.affiliation: Departamento de Producción Agraria, Universidad Pública de Navarra, Pamplona, Navarra, Spain.
authors.forename: Carlos
authors.initials: C
authors.lastname: Miranda
mesh_terms: D000483:Alleles; D001499:Bayes Theorem; D018744:DNA, Plant / Q000235:genetics*; D014644:Genetic Variation; D018745:Genome, Plant; D005838:Genotype; D018895:Microsatellite Repeats; D031989:Pyrus / Q000235:genetics*
chemical_list: D018744:DNA, Plant