DOI QR코드

DOI QR Code

Simple sequence repeat (SSR) marker를 이용한 벼 품종 식별

Identification of Rice Variety Using Simple Sequence Repeat (SSR) Marker

  • 권용삼 (농림부 국립종자관리소 재배시험과) ;
  • 박은경 (농림부 국립종자관리소 재배시험과) ;
  • 박찬웅 (농림부 국립종자관리소 재배시험과) ;
  • 배경미 (농림부 국립종자관리소 재배시험과) ;
  • 이승인 (농림부 국립종자관리소 재배시험과) ;
  • 조일호 (농림부 국립종자관리소 재배시험과)
  • Kwon, Yong-Sham (Variety Testing Division, National Seed Management Office, MAF) ;
  • Park, Eun-Kyung (Variety Testing Division, National Seed Management Office, MAF) ;
  • Park, Chan-Ung (Variety Testing Division, National Seed Management Office, MAF) ;
  • Bae, Kyung-Mi (Variety Testing Division, National Seed Management Office, MAF) ;
  • Yi, Seung-In (Variety Testing Division, National Seed Management Office, MAF) ;
  • Cho, Il-Ho (Variety Testing Division, National Seed Management Office, MAF)
  • 발행 : 2006.10.01

초록

SSR markers를 이용하여 벼의 품종간 유전적 유연관계 분석과 품종식별 방법에 대한 연구를 수행하여 얻어진 결과를 요약하면 다음과 같다. SSR primer 50개와 벼 보급종 21품종을 PCR 반응시킨 결과 다형성을 뚜렷하게 나타내는 primer는 23개였으며, 각 marker에 의해 발생된 대립유전자의 수는 $2{\sim}9$까지 검출되었고, 평균값은 3.00개로 나타났다. 유전적 다형성 정도를 나타내어 주는 SSR marker의 PIC 값은 최소 0.091에서부터 최대 0.839까지 다양하게 분석되었다. SSR marker를 이용하여 분석된 벼 21품종에 대한 전체 유전적 유사도는 $0.59{\sim}0.92$의 범위에 속하였고 유사도 지수 0.65를 기준으로 할 때 4개의 그룹으로 구분되었다. SSR marker중에서 RM206, RM225, RM418, RM478은 marker genotype에 의해 21 품종에 대해 각각 고유한 밴드 특성을 나타내어 품종판별이 가능한 것으로 나타났다. 금후 이 연구결과는 벼 보급종의 품종식별을 위해 효과적으로 이용될 수 있는 것으로 나타났다.

The objective of this study was carried out to evaluate the suitability of simple sequence repeat (SSR) markers for genetic diversity assessment and identification of rice varieties. The 23 primers selected from 50 SSR primers showed polymorphisms in the 21 rice varieties. The 2 to 9 SSR alleles were detected for each locus with an average of 3.00 alleles per locus. The polymorphism information content (PIC) ranged form 0.091 to 0.839. Based on band patterns, UPGMA cluster analysis was conducted. These varieties were separate into 4 groups corresponding to rice ecotype and pedigree information and genetic distance of cluster ranging from 0.59 to 0.92. The 4 SSR primer sets (RM206, RM225, RM418, RM478) selected form 23 polymorphic primers were differentiated all the rice variety from each other by markers genotypes. These markers may be used wide range of practical application in variety identification of rice.

키워드

참고문헌

  1. Coburn, J. R., S. V. Temnykh, E. M. Paul and S. R. McCouch. 2002. Design and application of microsatellite markers panels for semiautomated genotyping of rice (Oryza sativa L.). Crop Sci. 42, 2092-2099 https://doi.org/10.2135/cropsci2002.2092
  2. Garris, A. J., T. H. Tai, J. Coburn, S. Kresovich and S. McCouch. 2005. Genetic structure and diversity in Oryza sativa L. Genetics 169, 1631-1638 https://doi.org/10.1534/genetics.104.035642
  3. Jeung, J. U., H. G. Hwang, H. P. Moon and K. K. Jena. 2005. Fingerprining temperature japonica and tropical indica rice genotypes by comparative analysis of DNA markers. Euphytica 146, 239-251
  4. Kwon, S. J., S. N. Ahn, H. C. Hong, H. G. Hwang and H. C. Choi. 2002. SSR diversity in Japonica rice cultivars and its association to several traits. Korean J. Breed. 34, 57-63
  5. McCouch, S. R., X. L. Chen, O. Panaud, S. Temnykh, Y. B. Xu, Y. G. Cho, N. Huang, T. Ishii and M. Blair, 1997. Microsatellite marker development, mapping and application in rice genetics and breeding. Plant Mol. Biol. 35, 89-99 https://doi.org/10.1023/A:1005711431474
  6. Nandakumar, N., A. K. Singh, R. K. Sharma, T. Mohapatra, K. V. Prabhu and F. U. Zaman. 2004. Molecular fingerprinting of hybrids and assessment of genetic purity of hybrid seeds in rice using microsatellite markers. Euphytica 136, 257-264 https://doi.org/10.1023/B:EUPH.0000032706.92360.c6
  7. Rohlf, F. J. 2000. NTSYSpc. Numerical Taxonomy and Multivariate Analysis System- Version 2.10b. Applied Biostatistics Inc., New York
  8. Saini, N., N. Jain, S. Jain and R. K. Jain. 2004. Assessment of genetic diversity within and among Basmati and non-Basmati rice varieties using AFLP, ISSR and SSR markers. Euphytica 140, 133-146 https://doi.org/10.1007/s10681-004-2510-y
  9. Shinmura, K., H. Kanagawa, T. Mikami and T. Fukumori. 2005. Development of multiplex PCR primer sets for the identification of rice varieties. Breeding Research 7, 87-94 https://doi.org/10.1270/jsbbr.7.87
  10. Singh, P. K., R. K. Sharma, A. K. Singh, V. P. Singh, N. K. Singh, S. P. Tiwari and T. Mohapatra. 2004. Suitability of mapped sequence tagged microsatellite site markers for establishing distinctness, uniformity and stability in aromatic rice. Euphytica 135, 135-143 https://doi.org/10.1023/B:EUPH.0000014905.10397.08
  11. Smith, J. S. C., E. C. L. Chin, H. Shu, O. S. Smith, S. J. Wall, M. L. Senior, S. E. Michell, S. Kresovick and J. Ziegle. 1997. An evaluation of the utility of SSR loci as molecular markers in maize (Zea mays L.) : Comparison with data from RFLPs and pedigrees. Theor. Appl. Genet. 95, 163-173 https://doi.org/10.1007/s001220050544
  12. Sneath, P. H. A. and R. R. Sokal. 1973. Numerical taxonomy : The Principles and Practice of Numerical Classification, W. H. Freeman, San Francisco
  13. Song, M. T., J. H. Lee, Y. S. Cho, Y. H. Jeon, S. B. Lee, J. H. Gu, S. H. Choi and H. G. Hwang. 2002. Narrow genetic background of Korean rice germplasm as revealed by DNA fingerprinting with SSR markers and their pedigree information. Korean J. Genetics. 24, 397-403
  14. Song, M. T., K. M. Kim, S. K. Jong, J. H. Lee, Y. S. Cho, J. H. Gu, S. B. Lee, S. H. Choi and H. G. Hwang. 2003. Comparison of DNA-based and pedigree-based genetic similarity among Korean rice cultivars. Korean J. Genetics. 25, 223-230
  15. UPOV-BMT. 2002. BMT/36/10 Progress report of the 36th session of the technical committee, the technical working parties and working group on biochemical and molecular techniques and DNA-profiling in particular, Geneva

피인용 문헌

  1. Genetic Variation Analysis of Early-heading Plant (Oryza sativa L.) Lines Derived from Gamma-ray Irradiation vol.25, pp.1, 2012, https://doi.org/10.7732/kjpr.2012.25.1.142