Development of SNP markers and validation assays in commercial Korean melon cultivars, using Genotyping-by-sequencing and Fluidigm analyses
Autor: | Woon-Ho Song, Yoonji Noh, Young-Hoon Park, Gung Pyo Lee, Jin-Kee Jung, Sang-Min Chung, Eun-Jo Shim, D.S. Kishor |
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Rok vydání: | 2020 |
Předmět: |
0106 biological sciences
0301 basic medicine Genetics Genetic diversity Melon food and beverages Single-nucleotide polymorphism Horticulture Biology 01 natural sciences SNP genotyping 03 medical and health sciences 030104 developmental biology Intergenic region Korean melon Polymorphism (computer science) 010606 plant biology & botany Genetic association |
Zdroj: | Scientia Horticulturae. 263:109113 |
ISSN: | 0304-4238 |
DOI: | 10.1016/j.scienta.2019.109113 |
Popis: | Melon is an important horticultural crop across the globe, which consisted of several subspecies. Single nucleotide polymorphisms (SNPs) are the most preferred molecular markers in genetic diversity and genomic studies. Recently, Genotyping-by-sequencing (GBS) has produced sequences that detect genome-wide distribution of these SNP markers. In this study, we identified genome-wide highly efficient SNP markers to differentiate the cultivars of the melon using GBS. Here we detected 9018 SNPs by the analysis of 48 commercialized Korean melon cultivars, which released by various seed companies in South Korea. Further, precise filtering resulted in 5644 high-quality SNPs. Of these, 5293 SNPs and 351 were identified in the genic region and intergenic region, respectively. A total of 192 SNPs were identified as putative SNPs, on the basis of high polymorphism information content (PIC) and physical distance. These SNPs were further analyzed to distinguish 95 commercial melon cultivars via high-throughput Fluidigm system, thus revealed 95.83 % (184 SNPs) of validation ratio. The summary of SNP genotyping revealed estimates of PIC ranged from 0.02 to 0.53 and 179 SNPs (97.28 %) showed more than 0.3 of PIC. This is the first study in melon to develop and validate genome-wide SNP markers using GBS and Fluidigm platform, respectively. The SNP markers reported in this study will be a valuable tool for cultivar identification, genetic diversity, and marker-trait association studies in melon. |
Databáze: | OpenAIRE |
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