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BAC-end sequence-based SNPs and Bin mapping for rapid integration of physical and genetic maps in apple
Authors:Yuepeng Han  David Chagné  Ksenija Gasic  Erik HA Rikkerink  Jonathan E Beever  Susan E Gardiner  Schuyler S Korban
Institution:1. Department of Natural Resources and Environmental Sciences, University of Illinois, 1201 W. Gregory, Urbana, IL 61801, USA;2. Wuhan Botanical Garden of the Chinese Academy of Sciences, Moshan, Wuhan, 430074 PR China;3. HortResearch, Palmerston North Center, Private Bag 11030, Palmerston North 4442, New Zealand;4. HortResearch, Mt. Albert Research Center, Private Bag 92169 Auckland 1142, New Zealand;5. Department of Animal Sciences, University of Illinois, 1201 W. Gregory, Urbana, IL 61801, USA
Abstract:A genome-wide BAC physical map of the apple, Malus × domestica Borkh., has been recently developed. Here, we report on integrating the physical and genetic maps of the apple using a SNP-based approach in conjunction with bin mapping. Briefly, BAC clones located at ends of BAC contigs were selected, and sequenced at both ends. The BAC end sequences (BESs) were used to identify candidate SNPs. Subsequently, these candidate SNPs were genetically mapped using a bin mapping strategy for the purpose of mapping the physical onto the genetic map. Using this approach, 52 (23%) out of 228 BESs tested were successfully exploited to develop SNPs. These SNPs anchored 51 contigs, spanning ~ 37 Mb in cumulative physical length, onto 14 linkage groups. The reliability of the integration of the physical and genetic maps using this SNP-based strategy is described, and the results confirm the feasibility of this approach to construct an integrated physical and genetic maps for apple.
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