Development of SNP Markers for the Identification of Commercial Korean Watermelon Cultivars Using Fluidigm Genotyping Analysisopen access
- Authors
- Park, Jun-Young; Jang, Yoon Jeong; Jung, Jin-Kee; Shim, Eun-Jo; Sim, Sung-Chr; Chung, Sang-Min; Lee, Gung Pyo
- Issue Date
- Jan-2022
- Publisher
- 한국원예학회
- Keywords
- F1 hybrids; genetic relationship; genotyping-by-sequencing; PCA; population structure
- Citation
- 원예과학기술지, v.40, no.1, pp 75 - 84
- Pages
- 10
- Journal Title
- 원예과학기술지
- Volume
- 40
- Number
- 1
- Start Page
- 75
- End Page
- 84
- URI
- https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/55321
- DOI
- 10.7235/HORT.20220008
- ISSN
- 1226-8763
2465-8588
- Abstract
- Molecular markers based on simple sequence repeats (SSRs) from expressed sequence tags (ESTs)have been used to identify the registered commercial cultivars in watermelon (Citrullus lanatus).
To characterize diversity in watermelon cultivars, molecular markers based on genome-wide singlenucleotide polymorphisms (SNPs) are needed. Here, we used Fluidigm genotyping for the developmentof a core set of SNPs to differentiate Korean watermelon commercial cultivars. A candidate subsetof SNPs was discovered by genotyping-by-sequencing using 48 F1 cultivars. The cultivars could bedivided into three subpopulations with 97.5% similarity by unweighted pair group method witharithmetic mean (UPGMA) clustering based on 2,300 SNPs. After filtering loci with a high polymorphisminformation content (PIC), a subset of 238 SNPs was selected and analyzed in 92 F1cultivars on the Fluidigm genotyping system. Among these, 141 polymorphic, bi-allelic SNPs wereobtained. To evaluate genetic diversity in 92 cultivars, a principal component analysis (PCA) andhierarchical clustering analysis were performed. The first two axes of the PCA explained only30.5% of the total variance; however, the 92 cultivars clustered into three subgroups with similarsizes. Approximately 90% of the subgroups remained unchanged in the UPGMA clustering analysis.
In addition, when the subset of 141 SNPs was filtered with a threshold PIC of 0.36, a core set of 96SNP markers were obtained, without identical clustering results. The core set of SNP markers canbe used for the identification of commercial Korean watermelon cultivars and for the protection ofproprietary rights for new cultivar development.
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