Genetic diversity and population structure of synthetic hexaploid-derived wheat (Triticum aestivum L.) accessions
| Autor: | Sateesh Kagale, Emily Gordon, Mina Kaviani, Thomas Payne, Alireza Navabi |
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| Rok vydání: | 2018 |
| Předmět: |
0106 biological sciences
0301 basic medicine Germplasm Genetic diversity biology UPGMA population structure genetic diversity Plant Science biology.organism_classification 01 natural sciences synthetic hexaploid derived wheat 03 medical and health sciences 030104 developmental biology Genetic distance Genetic marker Evolutionary biology Aegilops Genetics Aegilops tauschii Agronomy and Crop Science Ecology Evolution Behavior and Systematics Triticum and Aegilops tauschii 010606 plant biology & botany Genetic association |
| Zdroj: | Genetic Resources and Crop Evolution. 66:335-348 |
| ISSN: | 1573-5109 0925-9864 |
| DOI: | 10.1007/s10722-018-0711-9 |
| Popis: | A comprehensive understanding of the population structure and genetic diversity of potential germplasm is necessary for making breeding decisions and to fully interpret marker-trait associations. The purpose of this study was to examine the genetic diversity and population structure of a panel of 194 synthetic hexaploid-derived wheat (SHW; Triticum aestivum L.) accessions using 6904 polymorphic single nucleotide polymorphism (SNP) markers. Ancestry-based dissimilarity indices and marker-based genetic distances were positively correlated (r = 0.67). The variation in the primary synthetic parent in the pedigrees accounted for 4.52%, while the degree of the synthetic contribution accounted for only 1.06% of variation in the genetic distance. In addition, variation in the Aegilops tauschii Coss. (syn. Aegilops squarrosa auct. non L.) accession and T. turgidum accession used in the initial cross accounted for 3.48% and 2.75% of the variation in genetic distance, respectively. Using a model-based population structure approach, seven sub-populations were identified in the panel. Results of the model-based population structure analysis was for the most part in agreement with the distance-based clustering using unweighted pair group method with arithmetic mean (UPGMA) of the genetic distance or ancestry data and the principle component analysis of relatedness. We conclude that using a model-based approach provides a more statistically robust estimation of population structure. Results of this study, while highlighting the potential contribution of introgressed genome in the panel, provide the foundation for employing this panel in genome-wide association studies. |
| Databáze: | OpenAIRE |
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