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Title:   Author  item
                                            Volk, Gayleitem
                                            Richards, Christopheritem
                                            Henk, Adamitem
                                            Baldo, Angelaitem
                                            Fazio, Gennaroitem
                                            Chao, Chihcheng
  Submitted to: Meeting Abstract
                                    Publication Type: Abstract Only
                                    Publication Acceptance Date: 4/2/2014
                                    Publication  Date: 6/24/2014
                                    Citation: Volk, G.M., Richards, C.M., Henk, A.D., Baldo, A.M., Fazio, G., Chao, C.T. 2014. Application of genetic and spatial analyses to identify collection priorities for wild Malus species [abstract]. 7th International Rosaceae Genomics Conference. p. 84.Interpretive Summary:
                                Technical Abstract: The USDA-ARS National Plant Germplasm System has 33 species of wild Malus, many of which were acquired from plant explorations performed over the past 30 years. The phylogenetic relationships among these species were determined by chloroplast sequencing (1681 bp from four regions). Five primary clades of species were identified. Malus x domestica and the primary progenitor species, M. sieversii, M. orientalis, M. sylvestris, and M. prunifolia were localized within one of the two clades specific to species of Chinese origin. Malus fusca, native to the western US and Canada, also localized within this Chinese clade. The other three Malus clades originate from Taiwan (M. doumeri), southern Italy (M. florentina), and central/eastern North America (M. ioensis, M. coronaria, M. angustifolia). Genetic diversity and admixture of individuals within each clade and species was evaluated using nuclear microsatellite markers. Together these data provide the basis for integrating genetic structure information with species range distribution modelling approaches to prioritize novel collection sites.


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