ArticlePloS one2015
Evaluating the Influence of the Microsatellite Marker Set on the Genetic Structure Inferred in Pyrus communis L.
Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- SSR-based genetic diversity and population structure analysis of 144 core pea (Frontiers in plant science · 2026Article
- Cytometric and genetic analysis of Slovenian local apple genotypes.BMC plant biology · 2025Article
- Microsatellite Genotyping and Genetic Diversity of a Greek Pear (Plants (Basel, Switzerland) · 2025Article
- Management of genetic erosion: The (successful) case study of the pear (Frontiers in plant science · 2022Article
- Identification of Red Grapevine Cultivars (Plants (Basel, Switzerland) · 2020Article
- Reconstruction of the Largest Pedigree Network for Pear Cultivars and Evaluation of the Genetic Diversity of the USDA-ARS NationalG3 (Bethesda, Md.) · 2020Article
- Classification of "Kintoki ninjin" and other groups of carrot (Breeding science · 2019Article
- Integration of expert knowledge in the definition of Swiss pear core collection.Scientific reports · 2019Article
- Elucidating the contribution of wild related species on autochthonous pear germplasm: A case study from Mount Etna.PloS one · 2018Article
- Genetic diversity of Spanish Prunus domestica L. germplasm reveals a complex genetic structure underlying.PloS one · 2018Article
- Characterization and Phylogenetic Analysis of Ancient Italian Landraces of Pear.Frontiers in plant science · 2017Article
- Analysis of the genetic diversity and structure across a wide range of germplasm reveals prominent gene flow in apple at the European level.BMC plant biology · 2016Article
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4 authors.
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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.
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