• Korean Journal of Breeding Science
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• v.42 no.1
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• pp.87-99
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• 2010

Genetic diversity and relationships within and among Korean, Japanese and Chinese Jilin provincial wild soybeans based on SSR markers were evaluated to enlarge genetic variation in soybean breeding in the future. A total of 184 wild soybeans including 67 Korean, 71 Japanese and 46 Chinese Jilin provincial wild soybeans were analyzed to evaluate genetic diversity and relationships based on 23 SSR markers. Korean and Japanese wild soybeans were obtained from National Agrobiodiversity Center, Korea, and Biological Resource Center in Lotus and Glycine, Frontier Science Research Center, University of Miyazaki, Japan, respectively. Chinese wild soybeans were collected from Jilin province, China. Twenty three SSR markers generated a total of 964 alleles with an average of 41.9 alleles per marker. Number of alleles ranged from 23 (Satt635) to 56 (Satt157). Genetic diversity (PIC value) of 184 wild soybeans ranged from 0.880 to 0.968 with an average of 0.945. Number of alleles for Korean, Japanese and Chinese Jilin provincial wild soybeans was 513 with an average of 22.3, 511 with an average of 22.2, and 312 with an average of 13.6 per marker, respectively. PIC value for Korean, Japanese and Chinese Jilin provincial wild soybeans was similar with an average of 0.905, 0.897, and 0.850, respectively. Cluster analysis based on genetic distances estimated by SSR markers classified wild soybeans into 3 clusters. Cluster I included only Chinese Jilin provincial wild soybeans. Cluster II included most of Japanese wild soybeans including 5 Korean wild soybeans. Cluster III included most of Korean wild soybeans including 6 Japanese and 1 Chinese Jilin provincial wild soybeans. Cluster I was not subclassified, but cluster II and III were subclassified into various groups. Genetic distance evaluated by SSR markers between Korean and Japanese wild soybeans was closer than that of between Korean and Chinese Jilin provincial, and between Japanese and Chinese Jilin provincial wild soybeans.

• Journal of Plant Biotechnology
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• v.43 no.4
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• pp.466-472
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• 2016

This study analyzed the genetic diversity of 115 pear germplasms using 15 SSR markers. Three to forty-one SSR alleles were detected for each locus with an average of 16 alleles per locus. The average availability of markers was 0.966. The average observed heterozygosity ($H_{obs}$) was 0.603 (range: 0.140 to 0.929). The average expected heterozygosity ($H_{exp}$) was 0.718 (range: 0.463 to 0.904). The average polymorphism information content (PIC) was 0.692 (range: 0.403 to 0.897). The genetic relationships of pear germplasms were classified into two major groups by geographic origins and genetic characteristics according to genetic distance. The first group was composed of European pear belonging to Pyrus communis. The second group consisted of P. pyrifolia, P. ussuriensis, P. bretschneideri, P. betulaefolia, P. calleryana, interspecific hybrids, and unclear germplasms. The results of this study suggest that genotype analysis of pear germplasms using SSR markers can identify the genetic diversity of germplasms, and can be used to provide basic information for pear breeding.

• Mycobiology
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• v.45 no.2
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• pp.105-109
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• 2017

Sixteen genomic DNA simple sequence repeat (SSR) markers of Lentinula edodes were developed from 205 SSR motifs present in 46.1-Mb long L. edodes genome sequences. The number of alleles ranged from 3-14 and the major allele frequency was distributed from 0.17-0.96. The values of observed and expected heterozygosity ranged from 0.00-0.76 and 0.07-0.90, respectively. The polymorphic information content value ranged from 0.07-0.89. A dendrogram, based on 16 SSR markers clustered by the paired hierarchical clustering' method, showed that 33 shiitake cultivars could be divided into three major groups and successfully identified. These SSR markers will contribute to the efficient breeding of this species by providing diversity in shiitake varieties. Furthermore, the genomic information covered by the markers can provide a valuable resource for genetic linkage map construction, molecular mapping, and marker-assisted selection in the shiitake mushroom.

• 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.

• Korean Journal of Breeding Science
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• v.43 no.5
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• pp.405-412
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• 2011

Knowledge of genetic diversity and genetic relationships among inbred lines gives a significant impact on the selection of parental lines for hybrid maize varieties. Genetic diversity and genetic relationships among 86 popcorn inbred lines were analyzed using 50 SSR markers distributed over the whole genome. A total of 256 alleles were identified at all the SSR loci with an average of 5.1 and a range between two and sixteen per locus. The gene diversity values varied from 0.21 to 0.831 with an average of 0.579. The cluster tree generated using the described SSR markers recognized three major groups at 35.8% genetic similarity. Groups I, II, III respectively included 40, 39 and 7 inbred lines. The present study indicates that the SSR markers chosen for this analysis are effective for the assessment of genetic diversity and genetic relationships among 86 popcorn inbred lines in Korea.

• Journal of Life Science
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• v.14 no.3
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• pp.453-458
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• 2004

Soybean oil and protein contents are very important as a nutritional component of food. The seed composition as oil and protein are polygenic traits. In this study, the Keunolkong${\times}$Iksan10 populations were evaluated with SSR markers to identify QTLs related to oil and protein contents. Three related independent QTLs near the marker satt100 on LG C2, satt546 on LG D1b＋W and satt418 on LG L were identified oil contents. The three independent QTLs near the marker satt556 on LG B2, satt414 on LG J and satt238 on LC L were identified of protein contents. In the results of this study, common QTLs on LG L was associated with seed oil and protein contents. In the result of this study, it is believed that the seed composition material as oil and protein contents were mainly controlled by environmental stresses and they are seed size on genotypes.

• Journal of Ginseng Research
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• v.36 no.3
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• pp.298-307
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• 2012

Panax ginseng has been cultivated for centuries, and nine commercial cultivars have been registered in Korea. However, these nine elite cultivars are grown in less than 10% of ginseng fields, and there is no clear authentication system for each cultivar even though their values are higher than those of local landraces. Here, we have developed 19 microsatellite markers using expressed gene sequences and established an authentication system for all nine cultivars. Five cultivars, 'Chunpoong', 'Sunpoong', 'Gumpoong', 'Sunun', and 'Sunone', can each be identified by one cultivar-unique allele, gm47n-a, gm47n-c, gm104-a, gm184-a (or gm129-a), and gm175-c, respectively. 'Yunpoong' can be identified by the co-appearance of gm47n-b and gm129-c. 'Sunhyang' can be distinguished from the other eight cultivars by the co-appearance of gm47n-b, gm129-b, and gm175-a. The two other cultivars, 'Gopoong' and 'Cheongsun', can be identified by their specific combinations of five marker alleles. This marker set was successfully utilized to identify the cultivars among 70 ginseng individuals and to select true F1 hybrid plants between two cultivars. We further analyzed the homogeneity of each cultivar and phylogenetic relationships among cultivars using these markers. This marker system will be useful to the seed industry and for breeding of ginseng.

• Korean Journal of Breeding Science
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• v.43 no.5
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• pp.360-367
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• 2011

Beta-carotene producing transformants were produced in the background of 'Nagdongbyeo', a Japonica rice cultivar. Introgression of the carotenoid locus in the transformant, PAC4-2 into the elite cultivar 'Ilpumbyeo' was started. To initiate a backcrossing program, we surveyed 220 SSR markers and found that 38% of them were polymorphic between 'Ilpumbyeo' as a recurrent parent and the PAC4-2 as a recipient parent. The selection strategy comprising foreground and background selection was employed. First, foreground selection was practiced in $BC_1$, $BC_2$, and $BC_3$ generations using the transgene specific PCR-based marker in addition to visual scoring of the seed color. Marker-based background selection combined with phenotypic selection was employed from $BC_3F_2$ to $BC_3F_4$ generations. Blast search indicated that the transgene PAC4-2 was located between SSR markers, RM6 and RM482. 240 $BC_3F_3$ and 63 $BC_3F_4$ lines were evaluated for four agronomic traits including days to heading. Most of the lines were similar to Ilpumbyeo in agronomic traits evaluated. The percentage of PAC4-2 genome ranged from 4% to 21% with a mean of 12.5%, which was higher than the expected for an unselected $BC_3$ backcross population. This could be explained by the fact that two genes for beta-carotene and the stripe virus resistance were targeted in this study. We selected 10 representative $BC_3F_5$ lines from 63 $BC_3F_4$ lines based on agronomic traits and carotenoids content. The selection strategy would be appropriate for the introgression of beta-carotene gene in a breeding program.

• Proceedings of the Korean Society of Crop Science Conference
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• 2018.04a
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• pp.145-145
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• 2018

• Journal of Ginseng Research
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• v.38 no.2
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• pp.130-135
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• 2014

Background: Panax ginseng, the most famous medicinal herb, has a highly duplicated genome structure. However, the genome duplication of P. ginseng has not been characterized at the sequence level. Multiple band patterns have been consistently observed during the development of DNA markers using unique sequences in P. ginseng. Methods: We compared the sequences of multiple bands derived from unique expressed sequence tagsimple sequence repeat (EST-SSR) markers to investigate the sequence level genome duplication. Results: Reamplification and sequencing of the individual bands revealed that, for each marker, two bands around the expected size were genuine amplicons derived from two paralogous loci. In each case, one of the two bands was polymorphic, showing different allelic forms among nine ginseng cultivars, whereas the other band was usually monomorphic. Sequences derived from the two loci showed a high similarity, including the same primer-binding site, but each locus could be distinguished based on SSR number variations and additional single nucleotide polymorphisms (SNPs) or InDels. A locus-specific marker designed from the SNP site between the paralogous loci produced a single band that also showed clear polymorphism among ginseng cultivars. Conclusion: Our data imply that the recent genome duplication has resulted in two highly similar paralogous regions in the ginseng genome. The two paralogous sequences could be differentiated by large SSR number variations and one or two additional SNPs or InDels in every 100 bp of genic region, which can serve as a reliable identifier for each locus.