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Developing a common bean core collection suitable for association mapping studies

Because of the continuous introduction of germplasm from abroad, some collections have a high number of accessions, making it difficult to explore the genetic variability present in a germplasm bank for conservation and breeding purposes. Therefore, the aim of this study was to quantify and analyze...

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Detalles Bibliográficos
Autores principales: Perseguini, Juliana Morini Küpper Cardoso, Silva, Gliciane Micaele Borges, Rosa, João Ricardo Bachega Feijó, Gazaffi, Rodrigo, Marçal, Jéssica Fernanda, Carbonell, Sérgio Augusto Morais, Chiorato, Alisson Fernando, Zucchi, Maria Imaculada, Garcia, Antonio Augusto Franco, Benchimol-Reis, Luciana Lasry
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Sociedade Brasileira de Genética 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4415564/
https://www.ncbi.nlm.nih.gov/pubmed/25983627
http://dx.doi.org/10.1590/S1415-475738120140126
Descripción
Sumario:Because of the continuous introduction of germplasm from abroad, some collections have a high number of accessions, making it difficult to explore the genetic variability present in a germplasm bank for conservation and breeding purposes. Therefore, the aim of this study was to quantify and analyze the structure of genetic variability among 500 common bean accessions to construct a core collection. A total of 58 SSRs were used for this purpose. The polymorphism information content (PIC) in the 180 common bean accessions selected to compose the core collection ranged from 0.17 to 0.86, and the discriminatory power (DP) ranged from 0.21 to 0.90. The 500 accessions were clustered into 15 distinct groups and the 180 accessions into four distinct groups in the Structure analysis. According to analysis of molecular variance, the most divergent accessions comprised 97.2% of the observed genetic variability present within the base collection, confirming the efficiency of the selection criterion. The 180 selected accessions will be used for association mapping in future studies and could be potentially used by breeders to direct new crosses and generate elite cultivars that meet current and future global market needs.