De Novo Transcriptome Analysis of Cucumis melo L. var. makuwa |
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Authors: | Hyun A Kim Ah-Young Shin Min-Seon Lee Hee-Jeong Lee Heung-Ryul Lee Jongmoon Ahn Seokhyeon Nahm Sung-Hwan Jo Jeong Mee Park Suk-Yoon Kwon |
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Affiliation: | 1.Plant Systems Engineering Research Center, Korea Research Institute of Bioscience and Biotechnology, Daejeon 305-806, Korea;2.Nongwoo Bio Co., Ltd., Yeoju 469-885, Korea;3.SEEDERS, Daeduk Industry Academic Cooperation Building, Daejeon 34016, Korea;4.Biosystems and Bioengineering Program, University of Science and Technology, Daejeon 305-350, Korea |
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Abstract: | Oriental melon (Cucumis melo L. var. makuwa) is one of six subspecies of melon and is cultivated widely in East Asia, including China, Japan, and Korea. Although oriental melon is economically valuable in Asia and is genetically distinct from other subspecies, few reports of genome-scale research on oriental melon have been published. We generated 30.5 and 36.8 Gb of raw RNA sequence data from the female and male flowers, leaves, roots, and fruit of two oriental melon varieties, Korean landrace (KM) and Breeding line of NongWoo Bio Co. (NW), respectively. From the raw reads, 64,998 transcripts from KM and 100,234 transcripts from NW were de novo assembled. The assembled transcripts were used to identify molecular markers (e.g., single-nucleotide polymorphisms and simple sequence repeats), detect tissue-specific expressed genes, and construct a genetic linkage map. In total, 234 single-nucleotide polymorphisms and 25 simple sequence repeats were screened from 7,871 and 8,052 candidates, respectively, between the KM and NW varieties and used for construction of a genetic map with 94 F2 population specimens. The genetic linkage map consisted of 12 linkage groups, and 248 markers were assigned. These transcriptome and molecular marker data provide information useful for molecular breeding of oriental melon and further comparative studies of the Cucurbitaceae family. |
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Keywords: | genetic linkage map Korean melon simple sequence repeat single-nucleotide polymorphism transcriptome analysis |
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