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Article|14 Jan 2015|OPEN
Developing single nucleotide polymorphism (SNP) markers from transcriptome sequences for identification of longan (Dimocarpus longan) germplasm
Boyi Wang1,2 , Hua-Wei Tan3 , Wanping Fang3 , Lyndel W Meinhardt2 , Sue Mischke2 and Tracie Matsumoto4 , Dapeng Zhang,2 ,
1Yunnan Forestry Technological College, Kunming 650224, Yunnan, China
2Sustainable Perennial Crops Laboratory, USDA-ARS, Beltsville Agricultural Research Center, Beltsville, MD 20705, USA
3College of Horticulture, Nanjing Agricultural University, Nanjing 210095, Jiangsu, China
4Tropical Plant Genetic Resources and Disease Research, USDA-ARS, Hilo, HI 96720, USA
*Corresponding author. E-mail: Dapeng.Zhang@ars.usda.gov

Horticulture Research 2,
Article number: 65 (2015)
doi: https://doi.org/10.1038/hortres.2014.65
Views: 969

Received: 30 Sep 2014
Revised: 25 Nov 2014
Accepted: 26 Nov 2014
Published online: 14 Jan 2015

Abstract

Longan (Dimocarpus longan Lour.) is an important tropical fruit tree crop. Accurate varietal identification is essential for germplasm management and breeding. Using longan transcriptome sequences from public databases, we developed single nucleotide polymorphism (SNP) markers; validated 60 SNPs in 50 longan germplasm accessions, including cultivated varieties and wild germplasm; and designated 25 SNP markers that unambiguously identified all tested longan varieties with high statistical rigor (P<0.0001). Multiple trees from the same clone were verified and off-type trees were identified. Diversity analysis revealed genetic relationships among analyzed accessions. Cultivated varieties differed significantly from wild populations (Fst=0.300; P<0.001), demonstrating untapped genetic diversity for germplasm conservation and utilization. Within cultivated varieties, apparent differences between varieties from China and those from Thailand and Hawaii indicated geographic patterns of genetic differentiation. These SNP markers provide a powerful tool to manage longan genetic resources and breeding, with accurate and efficient genotype identification.