Simple Sequence Repeat (SSR) 마커를 이용한 장미 품종 식별
Identification of Rose (Rosa x hybrida) Varieties Using Simple Sequence Repeat (SSR) Markers
2
조회
0
다운로드
3
인용
0
참고문헌
키워드
초록
The objective of this study was to evaluate the suitability of simple sequence repeat markers for variety identification in 69 rose (Rosa x hybrida) varieties. A set of 112 SSR primer pairs was evaluated and 43 primer pairs showed polymorphism in 12 varieties. Twenty-two primer pairs out of 43 primer pairs showed high levels of polymorphism and reproducibility. The genetic relationship of 69 varieties was analyzed based on the marker genotypes of 22 SSRs. A total of 114 polymorphic amplified fragments were obtained by using 22 SSR markers. Two to ten SSR alleles were detected for each locus with an average of 5.18 alleles per locus. Average polymorphism information content (PIC) was 0.621, ranging from 0.211 to 0.813. A total of 114 marker loci were used to calculate Jaccard’s distance coefficients for cluster analysis using unweighted pair-group method with arithmetical average (UPGMA). Cluster analysis of genetic diversity revealed that these SSR marker sets identified each genotypes of 69 rose varieties. These SSR markers may be used for wide range of practical application in variety identification of rose.
Abstract
The objective of this study was to evaluate the suitability of simple sequence repeat markers for variety identification in 69 rose (Rosa x hybrida) varieties. A set of 112 SSR primer pairs was evaluated and 43 primer pairs showed polymorphism in 12 varieties. Twenty-two primer pairs out of 43 primer pairs showed high levels of polymorphism and reproducibility. The genetic relationship of 69 varieties was analyzed based on the marker genotypes of 22 SSRs. A total of 114 polymorphic amplified fragments were obtained by using 22 SSR markers. Two to ten SSR alleles were detected for each locus with an average of 5.18 alleles per locus. Average polymorphism information content (PIC) was 0.621, ranging from 0.211 to 0.813. A total of 114 marker loci were used to calculate Jaccard’s distance coefficients for cluster analysis using unweighted pair-group method with arithmetical average (UPGMA). Cluster analysis of genetic diversity revealed that these SSR marker sets identified each genotypes of 69 rose varieties. These SSR markers may be used for wide range of practical application in variety identification of rose.
참고문헌 (21)
- Anderson JA, "Optimizing parental selection for genetic linkage maps", Genome, 36, pp.181~186 (1993)
- Bredemeijer GMM, "Construction and testing of a microsatellite database containing more than 500 tomato varieties", Theor Appl Genet, 105, pp.1019~1026 (2002)
- Esselink GD, "Identification of cut rose (Rosa hybrida) and rootstock varieties using robust sequence tagged microsatellite site markers", Theor Appl Genet, 106, pp.277~286 (2003)
- Gudin S., "Rose: genetics and breeding", Plant Breed Rev, 17, pp.159~189 (2000)
- Hibrand-Saint Oyant L, "Genetic linkage maps of rose constructed with new microsatellite markers and locating QTL controlling flowering traits", Tree Genetics & Genomes, 4, pp.11~23 (2008)
- Gi-Jun Kim, "Application of UPOV Data for the Analysis of Genetic Variation in Rose Cultivars", 원예과학기술지, 29(3), pp.240~246 (2011), 한국원예학회
- Kimura T, "Development of microsatellite markers in rose", Molecular Ecology Notes, 6, pp.810~812 (2006)
- 권용삼, "Assessment of Genetic Variation among Commercial Tomato (Solanum lycopersicum L.) Varieties Using SSR Markers and Morphological Characteristics", Genes & Genomics, 31(1), pp.1~10 (2009), 한국유전학회
- 권용삼, "Microsatellite 마커를 이용한 한국 보리 품종의 유전적 다양성", 한국육종학회지, 43(4), pp.322~329 (2011), 한국육종학회
- Leal AA, "Efficiency of RAPD versus SSR markers for determining genetic diversity among popcorn lines", Genet Mol Res, 9, pp.9~18 (2010)
- Mantel N., "The detection of disease clustering and a generalized regression approach", Cancer Res, 27, pp.209~220 (1967)
- Nishitani C, "Tri-", Hexanucleotide Microsatellite Markers in Peach Derived from Enriched Genomic Libraries and Their Application in Rosaceae, 2007, pp.57, 289~296
- Park YH, "Rose (Rosa hybrida L.) EST-derived microsatellite markers and their transferability to strawberry (Fragaria spp.)", Sci Hortic, 125, pp.733~739 (2010)
- Reid A, "Construction of an integrated microsatellite and key morphological characteristic database of potato varieties on the EU common catalogue", Euphytica, 182, pp.239~249 (2011)
- Rohlf FJ., "Numerical Taxonomy and Multivariate analysis system-version 2.10b" (2000), Applied Biostatistics Inc
- Shiferaw E, "Exploring the genetic diversity of Ethiopian grass pea (Lathyrus sativus L.) using EST-SSR markers", Mol Breed, 30, pp.789~797 (2011)
- Sneath PHA, "Numerical taxonomy: The principles and practice of numerical classification" (1973), W. H. Freeman
- UPOV-BMT, "BMT", 9, The working group on biochemical and molecular techniques and DNA-profiling in particular, Washington, D.C, pp.2005, ~
- UPOV-BMT, "BMT", 12, The working group on biochemical and molecular techniques and DNA-profiling in particular, Ottawa, pp.2010, ~
- Weising K, "DNA fingerprinting in plants: principle, methods, and applications", pp.39~ (2005), CRC Press
- Yan Z, "Construction of an integrated map of rose with AFLP, SSR, PK, RGA, RFLP, SCAR and morphological markers", Theor Appl Genet, 110, pp.766~777 (2005)