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DNA fingerprinting analysis of maize varieties and parental lines using microsatellite markers

Microsatellite 마커를 이용한 옥수수 품종 및 자식 계통에 대한 DNA Fingerprinting 분석

  • Kwon, Yong-Sham (Department of Molecular Genetic Engineering, College of Natural Resources and Life Science, Dong-A University)
  • 권용삼 (동아대학교 생명자원과학대학 분자유전공학과)
  • Received : 2016.07.26
  • Accepted : 2016.08.24
  • Published : 2016.09.30

Abstract

In the present study, we conducted genetic characterization of 90 commercial maize varieties and parental lines using microsatellite markers. Thirteen microsatellite markers were selected from 100 primer pairs in the maize genome data on the basis of polymorphism information contents (PIC) value and distinct amplification products. These markers detected 5 to 24 alleles, with an average of 13.69. The mean PIC value was 0.865 and ranged from 0.716 to 0.942. The unweighted pair-group method with arithmetical average (UPGMA) analysis was conducted for constructing the dendrogram using Jaccard's genetic similarity coefficient. The genetic similarity varied from 0.07 to 0.824. Thirteen microsatellite markers identified all 90 maize varieties and parental lines. The maize varieties were clustered into 5 major groups consistent with type and pedigree information. The microsatellite profile database of maize varieties could be used to select comparative varieties through genetic relationship analysis between existing varieties and candidate varieties in distinctness tests.

국내에서 육성된 옥수수 90 품종 및 자식 계통에 대하여 microsatellite 마커를 활용하여 DNA 프로파일 데이터베이스를 구축한 다음 공시품종에 따른 유전적 유사도 분석 및 품종식별력 검정에 대한 연구를 수행하였다. 옥수수 90품종을 100개의 microsatellite 마커로 검정하고 대립유전자의 패턴이 우수하고 다형성 정도가 높은 13개를 선정하여 분석하였을 때 대립유전자의 수는 5 ~ 24개까지 다양하게 분포하였고 평균 대립유전자의 수는 13.69개로 높았다. PIC 값의 경우도 0.716 ~ 0.942 범위에 속하였고 평균값은 0.865로 아주 높았다. 옥수수 90품종 및 계통에 대하여 UPGMA 분석에 의한 계통도를 작성하였을 때, 옥수수의 품종 유형 및 품종 육성 계보에 따라 5개의 대그룹으로 나누어졌다. 본 연구에서 구축됨 옥수수 자식계통 및 품종별 microsatellite DNA 프로파일 데이터베이스는 신품종과 기 육성된 품종과 유전적 유사도 분석이 가능하기 때문에 품종보호출원시 대조품종 선정 및 품종진위성과 관련된 종자분쟁에 매우 유용하게 활용될 수 있을 것이다.

Keywords

References

  1. Anderson JA, Churchill CA, Autrique JE, Tanksley SD, Sorrells ME (1993) Optimizing parental selection for genetic-linkage maps. Genome 36:181-186 https://doi.org/10.1139/g93-024
  2. Bae KM, Sim SC, Hong JH, Choi KJ, Kim DH, Kwon YS (2015) Development of genomic SSR markers and genetic diversity analysis in cultivated radish (Raphanus sativus L.). Hortic Environ Biotechnol 56:216-224 https://doi.org/10.1007/s13580-015-0089-y
  3. Jung TW, Moon HY, Son BY, Kim SL, Kim SK (2006) SSR markers related to major characteristics affected kernel quality in waxy corn inbred lines. Korean J Crop Sci 51S:185-192
  4. Kim BW, Sa KJ, Park KJ, Park JY, Lee JK (2015) Genetic analysis of core sets of colored maize and non-colored maize inbred lines using SSR markers. Korean J Breed Sci 47:54-62 https://doi.org/10.9787/KJBS.2015.47.1.054
  5. Kim BW, Sa KJ, Choi SH, Park JY, Park JY, Lee JK (2012) Analysis of the genetic relationship and population structure for colored maize lines using SSR markers. Korean J Breed Sci 44:301-311
  6. Kim JY, Moon JC, Baek SB, Kwon YU, Song GT, Lee BM (2014) Genetic improvement of maize by marker-assisted breeding. Korean J Crop Sci 59:109-127 https://doi.org/10.7740/kjcs.2014.59.2.109
  7. Kwon, YS, Choi KJ (2013) Construction of a DNA profile database for commercial cucumber (Cucumis sativus L.) cultivars using microsatellite markers. Kor J Hort Sci Technol 31:344-351
  8. Kwon YS, Hong JH (2014) Use of microsatellite markers to identify commercial melon cultivars and for hybrid seed purity testing. Korean J Hortic Sci Technol 32:525-534 https://doi.org/10.7235/hort.2014.13194
  9. KwonYS, Hong JH, Choi KJ (2013) Construction of a microsatellite marker database of commercial pepper cultivars. Korean J Hortic Sci Technol 31:580-589 https://doi.org/10.7235/hort.2013.13026
  10. Park JS, Sa KJ, Park KJ, Jang JS, Lee JK (2009) Genetic variation of parental inbred lines for Korean waxy corn hybrid varieties revealed by SSR markers. Korean J Breed Sci 41:106-114
  11. Rohlf, F.J. 2000. NTSYSpc: Numerical taxonomy and multivariate analysis system, ver. 2.10b. Applied Biostatistics Inc., New York
  12. Sneath, P.H.A. and R.R. Sokal. 1973. Numerical taxonomy: The principles and practice of numerical classification, Freeman W.H., San Francisco
  13. Tian HL, Wang FG, Zhao JR, Yi HM, Wang L, Wang R. Tang Y, Song W (2015) Development of maizeSNP3072, a highthroughput compatible SNP array, for DNA fingerprinting Identification of Chinese maize varieties. Mol Breeding 35:136 https://doi.org/10.1007/s11032-015-0335-0
  14. UPOV (2010) Guideline for DNA-profiling: molecular marker Selection and Database Construction ("BMT Guideline"). Geneva. Switzerland
  15. Wang FG, Tian HL, Zhao JR, Yi HM, Wang L, Song W (2011) Development and characterization of a core set of SSR markers for fingerprinting analysis of Chinese maize varieties. Maydica 56:7-17