• KOREAN JOURNAL OF CROP SCIENCE
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• v.46 no.4
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• pp.334-340
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• 2001

Two different types of molecular markers, simple sequence repeat (SSR) and single nucleotide polymorphism (SNP), were used to measure genetic diversity among five Korean, eight Thai, and three wild soybeans. For SSR analysis, a total of 20 markers were surveyed to detect polymorphisms. For SNP analysis, four primers were designed from consensus sequence regions on disease resistance protein homolog genes, and used to amplify the genomic region. The PCR products were sequenced. A number of polymorphic SSR and SNP bands were scored on all genotypes and their genetic similarity was measured. Clustering analysis was performed independently on both types of markers. Clustering based on SSR markers separated the genotypes into three main groups originated from Korea, Thailand, and wild soybeans. On the other hand, two main groups were classified using SNP analysis. It seemed that SSR was more informative than SNP in this study. This may be due to the fact that SNP was surveyed on the smaller genomic region than SSR. Grouping based on the combined data of both markers revealed similar results to that of SNP rather than that of SSR. This might be due to the fact that more loci from SNP were considered to measure genetic relatedness than those from the SSR.

• KOREAN JOURNAL OF CROP SCIENCE
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• v.51 no.7
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• pp.658-668
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• 2006

The objective of this study was to develop a technique for the cultivar discrimination using SSR markers in soybean. A total of 91 soybean cultivars developed from 1913 to 2002 in Korea were evaluated by five polymorphic SSR markers (Sat_043, Sat_036, Sat_022, Sat_088 and Satt045). Five SSR markers generated a total of 64 alleles and the number of alleles for each SSR marker ranged from 10 to 15 with average of 12.8. Polymorphic information contents (PIC) by five markers of 91 cultivars were ranged from 0.790 to 0.905 with average of 0.857. A total of 82 cultivars (90%) among 91 soybean cultivars could be individually discriminated by combination of five SSR markers through five step analysis. A cultivar, Buseok, by Sat_043 at the first step, 34 cultivars including Hojangkong by Sat_036 at the second step, 29 cultivars including Dankyeongkong by Sat_022 at the third step, 12 cultivars including Sinpaldalkong 2 by Sat_088 at the fourth step, and 6 cultivars including Saebyeolkong by Satt045 at the fifth step were discriminated. Soybean cultivars which were not discriminated by SSR markers could be discriminated by morphological characteristics.

• Korean Journal of Medicinal Crop Science
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• v.19 no.3
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• pp.185-190
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• 2011

The principal objective of this study was to develop a discrimination method using SSR markers in Korean ginseng cultivars. Five cultivars--Chunpoong, Yunpoong, Gopoong, Sunpoong, and Kumpoong--were evaluated by nine markers out of 22 SSR markers. A total of 23 alleles were detected, ranging from 1 to 4, with an average of 2.6 alleles per locus, and an averages of gene diversity (GD) of 0.480. Nine markers were tested in order to distinguish among five Korean ginseng cultivars. Two markers out of nine SSR markers, GB-PG-065 and GB-PG-142, were selected as key markers for discrimination among Korean ginseng cultivars. Two genotypes were detected in GB-PG-065. Chunpoong and Kumpoong shared the same allele type, and Yunpoong, Gopoong, and Sunpoong shared another identical allele type. In the case of GB-PG-142, a specific allele type differentiated from those of other four cultivars was observed only in Sunpoong cultivar. Consequently, the SSR markers developed in this study may prove useful for the identification of Korean ginseng cultivars and the development of ginseng seed management systems, as well as tests to guarantee the purity of ginseng seeds.

• Korean Journal of Medicinal Crop Science
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• v.19 no.5
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• pp.347-353
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• 2011

In this study, simple sequence repeat (SSR) analyses were utilized for evaluation of genetic diversity and discrimination of 17 accessions. Five cultivars, which were developed from Korea, and 12 foreign accessions, which were collected from China, Japan, Russia and USA, were evaluated by nine markers out of 22 SSR markers. A total of 39 alleles were detected, ranging from 2 to 8, with an average of 4.3 alleles per locus. The expected heterozygosity and PIC values were 0.627 and 0.553, with a range from 0.21 (GB-PG-078) to 0.76 (GB-PG-142) and from 0.19 (GB-PG-078) to 0.70 (GB-PG-142), respectively. Four makers out of nine SSR markers, GB-PG-026, GB-PG-043, GB-PG-142 and GB-PG-177, were selected as key factors for discrimination of Korean ginseng cultivars and foreign accessions. All of Korean ginseng cultivars and foreign accessions were individually by the combination of four SSR markers. Consequently, the SSR markers developed in this study may prove useful for the evaluation of genetic diversity and discrimination of Korean ginseng cultivars and foreign accessions.

• Plant Resources
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• v.6 no.1
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• pp.16-26
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• 2003

Molecular markers are useful tools for evaluating genetic diversity and determining cultivar identity. Present study was conducted to evaluate the genetic diversity within a diverse collection of rice accessions used for Korean breeding programs. Two hundred eighty-seven rice cultivars, composed of temperate japonica, tropical japonica, indica, and Tongil-type of Korean crossing parents were evaluated by means of 15 simple sequence repeat (SSR) markers. A total of 99 alleles were detected, and the number of alleles per marker ranged from 4 to 11, with an average of 6.6 per locus. Polymorphism information content (PIC) for each of the SSR markers ranged from 0.2924 to 0.8102 with an average of 0.5785. These results, with the result that use of only 15 SSR markers made all rice cultivars examined could be uniquely distinguished, imply the efficiency of SSR markers for analysis of genetic diversity in rice. Cluster analysis was performed on similar coefficient matrics calculated from SSR markers to generate a dendogram in which two major groups corresponding to japonica (Group I) and indica and Tongil type rice (group II) with additional subclasses within both major groups. The narrowness of the Korean breeding germplasm was revealed by the fact that most of the Korean-bred and Japan-bred temperate japonica cultivars were concentrated into only 2 of the sub-group I-1 (143 cultivars) and I-2 (58 cultivars) among six sub-groups in major group of japonica. This is because of the japonica accessions used in this study was a very closely related ones because of frequent sharing of the crossing parents with similar genetic background with synergy effect of the inherited genetic difference between indica and japonica. A rice breeding strategy with the use of molecular markers was discussed for overcoming of genetic vulnerability owing to this genetic narrowness.

• Horticultural Science & Technology
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• v.29 no.4
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• pp.366-373
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• 2011

To analyze the genetic relationships among Korean potato cultivars and to develop cultivar identification method using DNA markers, we carried out genotyping using simple sequence repeats (SSR) analysis and developed multiplex-SSR set. Initially, we designed 92 SSR primer combinations reported previously and applied them to twenty four Korean potato cultivars. Among the 92 SSR markers, we selected 14 SSR markers based on polymorphism information contents (PIC) values. PIC values of the selected 14 markers ranged from 0.48 to 0.89 with an average of 0.76. PIC value of PSSR-29 was the lowest with 0.48 and PSSR-191 was the highest with 0.89. UPGMA clustering analysis based on genetic distances using 14 SSR markers classified 21 potato cultivars into 2 clusters. Cluster I and II included 16 and 5 cultivars, respectively. And 3 cultivars were not classified into major cluster group I and II. These 14 SSR markers generated a total of 121 alleles and the average number of alleles per SSR marker was 10.8 with a range from 3 to 34. Among the selected markers, we combined three SSR markers, PSSR-17, PSSR-24 and PSSR-24, as a multiplex-SSR set. This multiplex-SSR set used in the study can distinguish all the cultivars with one time PCR and PAGE (Polyacrylamide gel electrophoresis) analysis and PIC value of multiplex-SSR set was 0.95.

• Journal of Plant Biotechnology
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• v.44 no.3
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• pp.243-263
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• 2017

This study is to establish the varietal discrimination based on DNA profiling of different varieties of rice. We examined the genetic distance among Korean rice varieties using allele frequencies and a genetic diversity analysis with Simple Sequence Repeats (SSRs) markers. The analysis of the genetic diversity and genetic relationships of 243 Korean rice varieties was varied out using 20 SSRs markers. A total of 268 alleles were detected, ranging from 6 to 32, with an average of 13.45 alleles per locus, and and average of gene diversity (GD) of 0.556. Seven SSR markers were selected as key markers for discrimination among the Korean rice varieties. Concerning the results, 243 varieties (100%) were discriminated among by using acrylamide gel and fragment analyzer-based markers. In conclusion, this study provides useful basic data that can be utilized concerning Korean rice varieties breeding and development. In addition, we will have to manage and conserve as a valuable genetic resource, without losing the diversity of Korean rice varieties.

• Molecules and Cells
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• v.19 no.3
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• pp.428-435
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• 2005

This study was carried out to assess the potential of SSR markers for variety identification by comparing SSR markers and morphological traits in tests of distinctiveness, uniformity, and stability (DUS) of pepper (Capsicum annuum L.) varieties. Twenty-seven SSR markers were polymorphic in 66 pepper varieties, revealing a total of 89 alleles. Average polymorphism information content (PIC) value was 0.529, ranging from 0.03 to 0.877. Cluster analysis of the band patterns separated the varieties into three groups corresponding to varietal types. Morphological trait-based clustering showed some degree of similarity to dendrogram topologies based on the SSR index. However, no significance correlation was found between the SSR and morphological data. SSR markers could be used to complement a DUS test of a candidate variety and to select complimentary varieties by pre-screening existing varieties in the context of protecting new varieties of pepper.

• International Journal of Industrial Entomology and Biomaterials
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• v.11 no.1
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• pp.49-55
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• 2005

Two BC1 group, c108 $\times$ (p50 $\times$ c108) and p50 $\times$ (p50 $\times$ c108), one group of F$_{2}$ progeny, (p50 $\times$ c108) F$_{2}$ ,and 3 SSR markers, F10539, FlO626 and FlO618 were used to test the hereditary properties of SSR markers in silkworm. FI0539, FlO626 were proved to be linkage, and FlO618 was proved to be independent to those two markers. According to Mendel's law, the recombinant value between F10539, FlO626 was calculated in all of these groups, and they were 8.55$\%$ (c108BC1), 8.02$\%$ (p50BC1) and 7.81 $\%$ (F$_{2}$) respectively. There was dominant difference among the crossing-over value using paired-samples tests by SPSS 10.0 software. This research proved that SSR markers were co-dominant in B. mori too, and F 2 progeny could be used to construct SSR linkage map although B. mori lacked of crossing over in females.

• Proceedings of the Plant Resources Society of Korea Conference
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• 2019.04a
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• pp.61-61
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• 2019

In any crop breeding program Selection and use of genetically diverse genotypes to develop cultivars with a broad genetic base is important. Molecular markers play a major role in selecting diverse genotypes. Molecular breeding programs of the crop can be made more efficient by use of molecular markers. The present study was done with an aim of analyzing genetic diversity and the population structure in 24 accessions of sunflower (Helianthus annus L.) from Kenya genetic diversity using 35 EST-SSR and gSSR primers.Out of the 35 markers 3 were not polymorphic as they indicated Polymorphic Information content( PIC) of value 0.00 and so the data analysis was done using 32 markers . The 32 set of markers used produced 29 alleles ranging from 2 to 7with a mean of 3.0 alleles per locus.The average value of polymorphic information contents(PIC) were 0.3 .Genetic diversity analysis using these markers revealed 3 major clusters. This result could be useful for designing strategies to make elite hybrid and inbreeding of crossing block for breeding and future molecular breeding programs to make elite variety.