원예과학기술지 (Horticultural Science & Technology)

  • 제33권5호
  • /
  • Pages.737-750
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  • 2015
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  • 1226-8763(pISSN)
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  • 2465-8588(eISSN)
한국원예학회 (Korean Society of Horticultural Science)
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수박 시판 품종의 식별을 위한 Genomic과 Expressed Sequence Tag (EST)에서 유래된 Microsatellite Marker의 이용

Use of Microsatellite Markers Derived from Genomic and Expressed Sequence Tag (EST) Data to Identify Commercial Watermelon Cultivars

  • 권용삼 (동아대학교 생명자원과학대학 유전공학과) ;
  • 홍지화 (농림축산식품부 국립종자원 종자검정연구센터) ;
  • 김두현 (동아대학교 생명자원과학대학 유전공학과) ;
  • 김도훈 (동아대학교 생명자원과학대학 유전공학과)
  • Kwon, Yong-Sham (Department of Genetic Engineering, College of Natural Resources & Life Science, Dong-A University) ;
  • Hong, Jee-Hwa (Seed Test & Research Center, Korea Seed & Variety Service, Ministry for Agriculture, Food & Rural Affairs) ;
  • Kim, Du-Hyun (Department of Genetic Engineering, College of Natural Resources & Life Science, Dong-A University) ;
  • Kim, Do-Hoon (Department of Genetic Engineering, College of Natural Resources & Life Science, Dong-A University)
  • 투고 : 2015.03.10
  • 심사 : 2015.06.12
  • 발행 : 2015.10.31
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초록

국내에서 시판되고 있는 수박 102 품종에 대한 DNA 프로 파일 데이터베이스를 구축하기 위하여 genomic microsatellite(gMS)와 expressed sequence tag(EST) microsatellite(eMS) 마커의 다형성 정도의 비교와 유전적 연관성 분석을 통한 품종식별력 검정 등에 대한 일련의 연구를 수행하였다. 수박 gMS 마커를 이용하여 국내에서 시판되고 있는 수박 102 품종을 검정하였을 때 마커당 3.63개의 평균 대립유전자가 검출되었으며, 평균 PIC 값은 0.479로 나타났다. 이에 반해 eMS 마커는 평균 대립유전자의 수가 2.50개, PIC 값이 0.425로 나타나 gMS 마커보다 다형성 정도가 낮게 나타났다. gMS와 eMS 및 이들 두 종류의 마커를 병합하여 작성된 계통도는 microsatellite 마커의 다형성에 따라 수박 102개 품종을 6-8개의 그룹으로 구분하였고 대부분의 품종의 식별이 가능하였다. 3가지 마커 유형에 따라 작성된 계통도를 Mantel test에 의해 상관 정도를 분석하였을 때 높은 상관($r{\geq}0.80$)을 나타내었다. 따라서 본 연구에 활용된 microsatellite 마커는 수박 유전자원의 특성평가, 순도검정 및 품종의 지문화 작업의 수단으로 유용하게 활용될 수 있을 것이다.

This study was carried out to construct a DNA profile database for 102 watermelon cultivars through the comparison of polymorphism level and genetic relatedness using genomic microsatellite (gMS) and expressed sequence tag (EST)-microsatellite (eMS) markers. Sixteen gMS and 10 eMS primers showed hyper-variability and were able to represent the genetic variation within 102 watermelon cultivars. With gMS markers, an average of 3.63 alleles per marker were detected with a polymorphism information content (PIC) value of 0.479, whereas with eMS markers, the average number of alleles per marker was 2.50 and the PIC value was 0.425, indicating that eMS detects a lower polymorphism level compared to gMS. Cluster analysis and Jaccard's genetic distance coefficients using the unweighted pair group method with arithmetic average (UPGMA) based on the gMS, eMS, and combined data sets showed that 102 commercial watermelon cultivars could be categorized into 6 to 8 major groups corresponding to phenotypic traits. Moreover, this method was sufficient to identify 78 out of 102 cultivars. Correlation analysis with Mantel tests for those clusters using 3 data sets showed high correlation ($r{\geq}0.80$). Therefore, the microsatellite markers used in this study may serve as a useful tool for germplasm evaluation, genetic purity assessment, and fingerprinting of watermelon cultivars.

키워드

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  1. ) varieties in Korea using a core set of microsatellite marker vol.43, pp.4, 2016, https://doi.org/10.5010/JPB.2016.43.4.457
  2. 수박 엘리트 계통의 GBS를 통한 마커이용 육종용 SNP 마커 개발 vol.45, pp.3, 2015, https://doi.org/10.5010/jpb.2018.45.3.242
  3. Characterization of Watermelon (Citrullus lanatus) Accessions Introduced from USDA vol.51, pp.4, 2015, https://doi.org/10.9787/kjbs.2019.51.4.357