DOI QR코드

DOI QR Code

Construction of a DNA Profile Database for Commercial Cucumber (Cucumis sativus L.) Cultivars Using Microsatellite Marker

Microsatellite 마커를 이용한 오이 유통품종 DNA Profile Data Base 구축

  • Kwon, Yong-Sham (Variety Testing Division, Korea Seed & Variety Service, Ministry of Agriculture, Food and Rural Affairs) ;
  • Choi, Keun-Jin (Variety Testing Division, Korea Seed & Variety Service, Ministry of Agriculture, Food and Rural Affairs)
  • 권용삼 (농림축산식품부 국립종자원 재배시험과) ;
  • 최근진 (농림축산식품부 국립종자원 재배시험과)
  • Received : 2013.01.09
  • Accepted : 2013.02.08
  • Published : 2013.06.30

Abstract

Microsatellite is one of the most suitable marker for cultivar identification as it has great discrimination power for cultivars with narrow genetic variation. The polymorphism level between 358 microsatellite primer pairs and 11 commercial cucumber cultivars was investigated. Thirty-one primer pairs showed high polymorphism within cucumber cultivars with different fruit types. These markers were applied for the constructing DNA profile data base of 110 commercial cucumber cultivars through multiplex PCR and fluorescence based automatic detection system. A total of 139 polymorphic amplified fragments were obtained by using 31 microsatellite markers. The average of PIC value was 0.610 ranging from 0.253 to 0.873. One hundred and thirty nine microsatellite loci were used to calculate Jaccard's distance coefficients for UPGMA cluster analysis. A clustering group of varieties, based on the results of microsatellite analysis, were categorized into plant shape and fruit type. Almost the cultivars were discriminated by marker genotypes. This information may be useful to compare through genetic relationship analysis between existing variety and candidate varieties in distinctive tests and protection of plant breeders' intellectual property rights through variety identification.

국내에서 유통되고 있는 오이 110 품종을 대상으로 microsatellite 마커를 이용하여 DNA profile 데이터베이스를 구축하기 위하여 품종식별력이 높은 분자 마커의 선정 및 이를 활용한 품종간 유전적 유사도 검정 등에 대한 연구를 수행하였다. 오이 11 품종을 358개의 microsatellite 마커로 검정하여 31개의 다형성이 높은 마커를 선정한 다음 110품종에 대한 DNA profile 데이터베이스를 구축하였다. 오이 110품종을 31개의 microsatellite 마커로 분석하였을 때 대립유전자의 수는 2-9개로 비교적 다양한 분포를 나타내었으며 전체 139개의 대립유전자가 분석되었다. PIC 값은 0.253-0.873 범위에 속하였으며 평균값은 0.610으로 나타났다. Microsatellite 마커들의 대립유전자를 이용하여 계통도를 작성하였을 때 110 품종이 과실의 형태에 따라 그룹화되는 것을 확인하였으며, 대부분이 품종이 microsatellite 마커의 유전자형에 의해 식별이 되는 것으로 나타났다. 이 연구결과에 의해 개발된 오이 품종별 DNA profile 데이터베이스는 품종보호 출원 품종의 선 DNA 검정을 통한 대조품종 선정, 구별성, 균일성, 안정성 확인에 매우 유용하게 이용할 수 있어 향후, 품종보호권 강화 등에 크게 기여할 수 있을 것으로 사료된다.

Keywords

References

  1. Anderson, J.A., G.A. Churchill, J.E. Autrigue, and S.D. Tanksley. 1993. Optimizing parental selection for genetic linkage maps. Genome 36:181-186. https://doi.org/10.1139/g93-024
  2. Bredemeijer, G.M.M, R.J. Cooke, M.W. Ganal, R. Peeters, P. Isaac, Y. Noordijk, S. Rendell, J. Jackson, M.S. Röder, K. Wendehake, M. Dijcks, M. Amelaine, V. Wickaert, L. Bertrand, and B. Vosman. 2002. Construction and testing of a microsatellite database containing more than 500 tomato varieties. Theor. Appl. Genet. 105:1019-1026. https://doi.org/10.1007/s00122-002-1038-6
  3. Esselink, G.D., M.J.W. Smulders, and B. Vosman. 2003. Identification of cut rose (Rosa hybrida) and rootstock varieties using robust sequence tagged microsatellite site markers. Theor. Appl. Genet. 106:277-286.
  4. Fazio, G., J.E. Staub, and S.M. Chung. 2002. Development and characterization of PCR markers in cucumber (Cucumis sativus L.). J. Am. Soc. Hort. Sci. 127:545-557.
  5. Fukino, N., Y. Yoshioka, N. Kubo, M. Hirai, M. Sugiyama, Y. Sakata, and S. Matsumoto. 2008. Development of 101 novel SSR markers and construction of an SSR-based genetic linkage map in cucumber (Cucumis sativus L.). Breed Sci. 58:475-483. https://doi.org/10.1270/jsbbs.58.475
  6. Kong, Q., C. Xiang, and Z. Yu. 2006. Development of EST-SSRs in Cucumis sativus from sequence database. Mol. Ecol. Notes 6:1234-1236. https://doi.org/10.1111/j.1471-8286.2006.01500.x
  7. Kwon, Y.S., J.M. Lee, G.B. Yi, S.I. Yi, K.M. Kim, E.H. Soh, K.M. Bae, E.K. Park, I.H. Song, and B.D. Kim. 2005. Use of SSR markers to complement tests of distinctiveness, uniformity, and stability (DUS) of pepper (Capsicum annuum L.) varieties. Molecules Cells 19:428-435.
  8. Kwon, Y.S., S.G. Park, and S.I. Yi. 2009. Assessment of genetic variation among commercial tomato (Solanum lycopersicon) varieties using SSR markers and morphological characteristics. Genes Genomics 31:1-10. https://doi.org/10.1007/BF03191132
  9. Kwon, Y.S., Y.H. Oh, S.I. Yi, H.Y. Kim, J.M. An, S.G. Yang, S.H. Ok, and J.S. Shin. 2010. Informative SSR makers for commercial variety discrimination in watermelon (Citrullus lanatus). Genes Genomics 32:115-122. https://doi.org/10.1007/s13258-008-0674-x
  10. Horejsi, T. and J.E. Staub. 1999. Genetic variation in cucumber (Cucumis sativus L.) as assessed by random amplified polymorphic DNA. Genetic Resources Crop Evolution 46:337-350. https://doi.org/10.1023/A:1008650509966
  11. Hu, J., J. Li, F. Liang, L. Liu, and S. Si. 2010. Genetic relationship of a cucumber germplasm collection revealed by newly developed EST-SSR markers. J. Genet. 89:28-32.
  12. International Union for the Protection New Varieties of Plant (UPOV). 2005. The working group on biochemical and molecular techniques and DNA-profiling in particular (BMT/9/14): Report. UPOV, Washington, D.C.
  13. International Union for the Protection New Varieties of Plant (UPOV). 2008a. The working group on biochemical and molecular techniques and DNA-profiling in particular (BMT/11/12): The Spanish experience (GESLIVE-IRTA) on the enforcement of plant variety rights: DNA-fingerprinting. UPOV, Madrid.
  14. International Union for the Protection New Varieties of Plant (UPOV). 2008b. The working group on biochemical and molecular techniques and DNA-profiling in particular (BMT/11/15): preparation of guideline for method validation of DNA identification for the enforcement of plant breeder's rights in Japan. UPOV, Madrid.
  15. International Union for the Protection New Varieties of Plant (UPOV). 2010. The working group on biochemical and molecular techniques and DNA-profiling in particular (BMT/12/09): Application of SSR and SNP in maize variety identification and database construction. UPOV, Ottawa.
  16. Rohlf, F.J. 2000. NTSYSpc: Numerical taxonomy and multivariate analysis system, ver. 2.10b. Applied Biostatistics Inc., New York.
  17. Sneath, P.H.A. and R.R. Sokal. 1973. Numerical taxonomy: The principles and practice of numerical classification. Freeman W.H., San Francisco.
  18. Watcharawongpaiboon, N. and J. Chunwongse. 2008. Development and characterization of microsatellite markers from an enriched genomic library of cucumber (Cucumis sativus). Plant Breed. 127:74-81.

Cited by

  1. Use of Microsatellite Markers to Identify Commercial Melon Cultivars and for Hybrid Seed Purity Testing vol.32, pp.4, 2014, https://doi.org/10.7235/hort.2014.13194
  2. DNA profiling of commercial pumpkin cultivars using simple sequence repeat polymorphisms vol.56, pp.6, 2015, https://doi.org/10.1007/s13580-015-0123-0
  3. Discrimination of Korean rice varieties as revealed by DNA profiling and its relationship with genetic diversity vol.44, pp.3, 2017, https://doi.org/10.5010/JPB.2017.44.3.243
  4. Genome-wide SNP discovery and core marker sets for assessment of genetic variations in cultivated pumpkin ( Cucurbita spp.) vol.7, pp.None, 2013, https://doi.org/10.1038/s41438-020-00342-9