Skip to main navigation Skip to main content

Korean. J. Breed. Sci. : Korean Journal of Breeding Science

OPEN ACCESS
ABOUT
BROWSE ARTICLES
EDITORIAL POLICIES
FOR CONTRIBUTORS

Page Path

4
results for

"Genetic relationship"

Article category

Keywords

Publication year

Authors

"Genetic relationship"

Articles

The 12 cultivars of the Jeju native Citrus are considered to have originated from China. However, the origin of the cultivar ‘Byungkyool’ (Citrus platymamma Hort. ex Tanaka) is not clearly known. We performed PCR analysis by using three primer sets designed from the internal transcribed spacer (ITS) region of nuclear ribosomal DNA (nrDNA) to analyze the phylogenetic relationship between the traditional citrus cultivars and the Byungkyool cultivar. Sequence length of the nrDNA ITS1 region of JNCPCRI (Jeju Native Citrus platymamma Citrus Research Institute) cultivar was 247 bp, 8the ITS2 region was 228 bp and the total ITS region (ITS1-5.8S-ITS2) was 638 bp. Analysis of the genetic relationship based on the sequence analysis at the ITS region of the JNCPCRI cultivar revealed that the ITS1 region of the cultivar was genetically the same as that of the Byungkyool (JQ990189) cultivar, and the ITS2 region was genetically similar to the Binkyool (JQ990180), Hongkyool (JQ990178), Dangyooja (JQ990179), and Pyunkyool (JQ990181) cultivars. Moreover, the total ITS region in the 5.8S rDNA region was genetically similar to the Hongkyool (JQ990178) cultivar. In addition, the total ITS region of the JNCPCRI cultivar was the most closely related to the Cheongkyool (JQ990183) cultivar and has been reported to originate from the Binkyool (JQ990180) and Pyunkyool (JQ990181) cultivars. Although the JNCPCRI cultivar was morphologically the same as the Byungkyool (JQ990189) cultivar, the ITS region showed genetic heterogeneity. Taken together, we conclude that the genetic variation in the ITS region of JNCPCRI cultivar suggests that it was propagated through fertilization with the surrounding citrus cultivars.

  • 3 View
  • 0 Download
국내에서 수집된 국화 품종에 대한 SSR 분자표지 Database 구축
Construction of SSR Marker Database of Chrysanthemum Varieties Collected in Korea
Eun-Jo Shim, Eun-Jung Heo, Moo-Kyoung Yoon, Eun-Hee Soh, Jee-Hwa Hong
Korean. J. Breed. Sci. 2015;47(4):366-375.   Published online December 31, 2015
DOI: https://doi.org/10.9787/KJBS.2015.47.4.366

Chrysanthemum (Dendranthema grandiflourm Kitamura) is a member of the Asteraceae and one of the important horticultural crops. The
objective
of this study was to construct a DNA profile database for identification of chrysanthemum varieties using simple sequence repeat (SSR) markers. In order to select SSR markers for the variety identification, we screened 587 SSR primers using 20 varieties. Among them, 27 SSR markers showed polymorphism. We finally selected 14 SSR markers showing peak clearance, high polymorphism and reproducibility in 20 varieties. In conclusion, DNA profile database for 147 chrysanthemum varieties were constructed by 14 SSR markers. A total of 79 SSR alleles were detected and three to ten alleles were detected with an average of 5.6 alleles per locus. The polymorphism information content value ranged 0.287 ~ 0.785 with an average of 0.598. Genetic relationship revealed that genetic distance of 147 varieties ranged from 0.44 to 1.00. The 143 varieties among 147 varieties were distinguished by 14 SSR markers but the 2 varieties developed by mutation breeding and natural variation were not distinguished from original varieties. These constructed SSR profile database will be useful for the selection of similar varieties for candidate variety and for solving problem relating to seed dispute and infringement of plant breeder’s right.

  • 4 View
  • 0 Download

This study was conducted to construct a DNA marker database for 38 plum varieties collected in Korea using simple sequence repeat (SSR) markers. A set of 61 SSR primer pairs was tested to select polymorphic SSR markers between 8 varieties. Among the 61 primer pairs, 21 showed polymorphism, reproducibility and easy scoring. The genetic relationship between the 21 SSR markers and 38 varieties was analyzed. A total of 210 polymorphic amplified fragments were obtained with the 21 SSR markers. Three to seventeen SSR alleles were detected for each locus, with an average of 10.0 alleles per locus. Average polymorphism information content (PIC) was 0.758, with a range from 0.549 to 0.870. A total of 210 SSR marker loci were used to calculate Jaccard’s distance coefficients for cluster analysis by an unweighted pair-group method with arithmetical average (UPGMA). The genetic distance ranged from 0.06 to 1.00 in 38 varieties. Out of 38 plum varieties, 32 were identified using the 21 SSR markers. Therefore, these SSR markers may be employed to complement distinctness, uniformity, and stability (DUS) tests or as potential tools to solve seed disputes regarding plums.

  • 4 View
  • 0 Download

Construction of SSR Profile Database for Variety Identification of Blueberry in Korea
Jee-Hwa Hong1*, Yong-Sham Kwon2, Young Kim3, Eun-Ju Kim4, Eun-Hee Soh1, and Keun-Jin Choi5
Korean. J. Breed. Sci. ;46(1):58-65.   Published online March 31, 2014
DOI: https://doi.org/10.9787/KJBS.2014.46.1.058
Blueberry (Vaccinium spp.) is a member of Ericaceae and the recent important small fruit crop. This study was to construct a DNA marker database for blueberry varieties in Korea using simple sequence repeat (SSR) markers. A set of 49 SSR primer pairs was tested to select polymorphic SSR marker in 6 varieties. With 49 primer pairs, seventeen primer pairs showed polymorphism, reproducibility and band clearance. The genetic relationship among 34 varieties by using 17 SSR markers was analyzed. A total of 115 polymorphic amplified fragments were obtained by 17 SSR markers. Two to fifteen SSR alleles were detected for each locus with an average of 6.8 alleles per locus. Average polymorphism information content (PIC) was 0.671, ranging from 0.248 to 0.888. A total of 115 SSR marker loci were used to calculate Jaccard’s distance coefficients for cluster analysis by unweighted pair-group method with arithmetical average (UPGMA). Genetic distance ranged from 0.31 to 0.81 in 34 varieties and the dendrogram at a similarity 0.40 gave 3 main clusters according to blueberry species. Totally 34 varieties were identified by 17 SSR markers. Out of 17 SSR markers, a set of 3 minimum SSR markers was also enabled the identification of 34 varieties. Hence, we concluded that these SSR markers will be available for identifying blueberry varieties and alternative choice to distinctness, uniformity, stability (DUS) examination in blueberry along with valid phenotypic data.
  • 3 View
  • 0 Download