• Korean Journal of Plant Resources
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• v.25 no.1
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• pp.142-151
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• 2012

This study was carried out to evaluate genetic variation of early-heading rice (Oryza sativa L. cv. Dongjin 1) lines derived from gamma-ray ($^{60}Co$, 300 Gy) irradiation. The average heading date of the 5 early-heading lines in $M_7$ and $M_8$ generation was faster than that of untreated control as 11 (line ${\gamma}$-2), 10 (line ${\gamma}$-5), 6 (${\gamma}$-1 line), 5 (${\gamma}$-3) and 4 days (line ${\gamma}$-4), respectively. According to ISSR analysis, polymorphic rate of the early-heading lines (from 5.9% to 23.4%) was higher than that of control (4.3%). The result indicates that the gamma-ray promote variation at DNA level. When genetic variations of rps16-trnK region were evaluated by nucleotide analysis, nucleotide length of the rps16-trnK region was 664 bp in all the early-heading lines and control. Out of 5 sites of nucleotide transposition detected in the region, however, 2 sites were appeared only in the early-heading lines.

• Korean Journal of Medicinal Crop Science
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• v.13 no.6
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• pp.278-286
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• 2005

This study was conducted to classify 80 Artemisia spp. collections based on morphological characters and RAPD analysis to get the basic information of Artemisia spp. collections as medicinal plants. The eighty Artemisia spp. collections were classified into 5 groups with the maximum distance 0.82 between clusters based on the complete linkage cluster analysis with morphological traits. Out of 80 operon primer, 10 primers showing polymorphic bands were selected for RAPD analysis. Among the 98 bands amplified with the primers, 68 (69%) bands showed polymorphism. The number of amplified bands ranged from 8 to 10 with an average number of 9.8 bands. Artemisia spp. collections classified into 6 groups with the similarity value of 0.63 in dendrogram derived from the cluster analysis based on RAPDs. Group consisted of 29 collections. Group, which is the largest one, contained 40 collections. Most of the A. asiatica and A. feddei LEV et VNT. were classified into Group and. The rest of the collections (31%) were classified into Group $III{\sim}V$.

• Journal of Korean Society of Forest Science
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• v.98 no.1
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• pp.1-7
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• 2009

We investigated the genetic variation and structure in Korean Arborvitae (Thuja koraiensis Nak.), by 29 examining I-SSR polymorphic loci in 84 individuals distributed among four natural populations in Korea. The level of population genetic diversity ($A_e$=1.44, P=72.42, $H_e$=0.258, S.I.=0.385) was similar to or slightly higher than that of plants with similar ecological traits and life history (Cupressaceae). Most genetic diversity was allocated among individuals within populations (${\Phi}_{ST}$=0.13). The UPGMA dendrogram based on genetic distance failed in showing decisive geographic relationship. The Mt. Bangtae population had the lowest level of genetic diversity and was the most distinctive from the other populations. Mt. Jang population which is possessed of the highest level of genetic variation and Mt. Bangtae population which is consisted of heterogeneous was considered to be a prime candidate for the conservation studies.

• Microbiology and Biotechnology Letters
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• v.30 no.1
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• pp.79-85
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• 2002

Ecological characteristics of microorganisms in tideland soils were studied by investigation of microbial diversity and population. Twenty soil samples were taken at surface, 10, 20 and 30 cm depth each. Bacteria, actinomycetes and fungi were isolated on each selective isolation medium containing different concentration of NaCl. Actinomycetes were the most isolated from soil samples taken at 10 cm depth and isolated by humic acid-vitamin (HV) medium without sea water or salt. Twenty nine strains of actinomycetes were isolated at surface soil and 74, 39, 37 strains were at 10, 20, and 30 cm depth, respectively. All these isolates were analysed and grouped by random amplified polymorphic DNA (RAPD)-PCR analysis. Many of the isolates were clustered into Microtetraspora and Pseudonocardia. Fungal isolates were highly distributed at the surface soil and isolated well on potato dextrose agar (PDA) medium with sea water. Bacterial isolates were higly distributed at surface soil and isolated well by nutrient medium without sea water or salt. Soil samples taken at 10 cm depth showed the highest microbial diversity and population.

• Journal of Animal Science and Technology
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• v.46 no.5
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• pp.729-734
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• 2004

This study was performed to analyze the sequence variations of mtDNA D-loop and their effects on milk in Hanwoo(Korean cattle). The resulting sequences were compared with previously published sequences for other cattle breeds (GenBank JOI394). The Polymerase Chain Reaction was performed to amplify a total of 964 bp between nucleotide 15758 and 383 within D-loop region of mtDNA using specific primers. Twenty polymorphic sites by nucleotide substitution were found in mtDNA D-loop region of Hanwoo. The frequencies of positions at 8, 169, 16042, 16051, 16057, 16093, 16119, 16122, 16209, 16255 and 16302 nt with high levels of sequence polymorphism were 0.150, 0.950, 0.085, 0.138, 0.106, 0.085, 0.138, 0.212, 0.085, 0.148 and 0.180, respectively. The substitution effect at 16119(p<0.1) and 16185(p< 0.05) nt was found significant on milk production. Polymorphism of mtDNA sequence in D-Ioop region could be useful for the analysis of cytoplasmic genetic variation and associations with the other economically important traits and maternal lineage analysis in Hanwoo.

• Journal of Animal Science and Technology
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• v.57 no.2
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• pp.5.1-5.8
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• 2015

Background: Korean native chicken (KNC) is a well-known breed due to its superior meat taste. This breed, however, owing to a low growth rate, has a high market price. In order to overcome this disadvantage, the National Institute of Animal Science (NIAS) in Korea developed a commercial KNC breed, named Woorimatdag version 2 (WM2), an upgraded version of the Woorimatdag (WM1) breed and the WM2 was created by crossing the KNC with meat type breeds. This study aims to discriminate between WM2 and other chicken breeds using microsatellite (MS) markers. Methods: A total of 302 individuals from eight Korean chicken populations were examined. The genetic diversity and population structure analysis were investigated using Cervus, API-CALC, STRUCTURE, PowerMarker programs. Results: Based on heterozygosity and polymorphic information content (PIC) values, 30 MS markers were initially selected from 150 markers. The identified average number of alleles (Na), expected heterozygosity, and PIC values for the WM2 samples were 7.17, 0.741, and 0.682, respectively. Additionally, the paternity of individuals was assigned with a success rate of greater than 99% using 12 markers, the best minimum number of markers. The 12 selected markers contained heterozygosity and PIC values above 0.7 and probability of identity values around zero. Using these markers, the determined probability of identity (PI), $PI_{half-sibs}$, and $PI_{sibs}$ values were 3.23E-33, 5.03E-22, and 8.61E-08, respectively. Conclusions: WM2 is well differentiated with respect to other chicken breeds based on estimated genetic distances. The results presented here will contribute to the identification of commercial WM2 chicken in the market.

• Journal of Animal Science and Technology
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• v.52 no.6
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• pp.475-480
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• 2010

The bovine fatty acid binding protein 4 (FABP4) plays an important role to uptake intracellular fatty acid. It has been previously reported as a positional candidate gene for marbling score in livestock. The re-sequencing of FABP4 gene detected a polymorphic AT repeated sequence in intron II of FABP4 gene. Allelic distribution for this microsatellite marker was examined in other cattle breeds. A total of 8 alleles were detected with diverse repeat units (14 to 21 AT repeat) in Hanwoo and 7 breeds. Of the 8 alleles, the predominant alleles were $[AT]_{16}$, $[AT]_{18}$ and $[AT]_{19}$ in the Hanwoo and 7 cattle breeds. The linear mixed model for genotypic effect (3237AT) on carcass traits showed a significant effect on marbling score (MAR P=0.025) and live weight (LWT; P=0.04) in the 583 Hanwoo cattle population. Live weight (LW) was highest in the homozygous $(AT)_{17}$ genotype ($557.5{\pm}6.94$) and lowest in the heterozygous $(AT)_{16/17}$ genotype ($521.7{\pm}7.70$). On the other hand, the homozygous $(AT)_{17}$ genotype ($3.0{\pm}0.15$) has the highest effect on marbling score and the lowest effect was in homozygous (AT)$_{18}$ genotype ($2.2{\pm}0.15$). The marbling score difference between both groups was 0.8 which is around two times higher than SNP genotype effect on marbling score in Limousin $\times$ Wagyu crosses.

• The Korean Journal of Mycology
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• v.38 no.1
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• pp.34-39
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• 2010

We have attempted to verify 30 strains of Hypsizigus marmoreus from various mushroom stocks in Korea using random amplified polymorphic DNA (RAPD) methodology. Chromosomal DNAs of them were extracted and subjected to PCR analyses with 3 random primers. Each PCR produced approximately 30 distinct PCR bands with the size from 200 bp to 3000 bp. A dendrogram was acquired using the unweighted pair-group method with arithmetic average (UPGMA) clustering methodology on the basis of the DNA band pattern. The analysis revealed that 30 strains of H. marmoreus were clustered into two distinct clusters. Cluster 1 contained 3 subgroups while the cluster 2 consisted of rather diverse strains. Interestingly, Hm3-10, a wild strain collected from Deog-Yu mountain, was not included in either clusters, indicative of uniqueness of this strain. We nextly attempted to develop strain-specific DNA markers to verify a specific strain. A unique band in the RAPD gel lane of Hm0-4 was extracted and its sequence was determined. PCR with a primer set from the determined sequence revealed that the primer set gave a 250 bp DNA band only for Hm0-4, indicating that this approach works well for the strain-specific identification of H. marmoreus.

• Korean Journal of Medicinal Crop Science
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• v.21 no.5
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• pp.353-360
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• 2013

Korean ginseng (P. ginseng C. A. Meyer) is one of the most important medicinal plant in the world. Understanding genetic variability among the assortment of Korean ginseng is important for breeding. The aim of this study was to molecularly characterize Korean ginseng cultivar and breeding lines through the use of eight previously reported STS markers (MFGp183, MFGp130, MFGp110, UFGp74, UFGp163, MFGp108, MFGp81 and UFGp156). All STS markers produced interpretable electropherograms from 31 accessions consisting of 11 Korean ginseng cultivars and 20 breeding lines. When eight STS markers were combined, we identified to total 19 genetic patterns; in particular, nine cultivars (Chunpoong, Yunpoong, Gopoong, Gumpoong, Sunpoong, Sunone, Cheongseon, Sunhyang, Cheonryang) and 5 breeding lines (G08012, G04079, G04075, G08036, G04110) in ginseng samples can be discriminated from the others. Together with other available markers, these STS markers will contribute to the management of ginseng genetic resources and the protection of breeders' rights.

• Journal of Internet Computing and Services
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• v.13 no.4
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• pp.45-52
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• 2012

T cells induce immune responses and thereby eliminate infected micro-organisms when peptides from the microbial proteins are bound to HLAs in the host cell surfaces, It is known that the more stable the binding of peptide to HLA is, the stronger the T cell response gets to remove more effectively the source of infection. Accordingly, if peptides (HLA binder) which can be bound stably to a certain HLA are found, those peptieds are utilized to the development of peptide vaccine to prevent infectious diseases or even to cancer. However, HLA is highly polymorphic so that HLA has a large number of alleles with some frequencies even in one population. Therefore, it is very inefficient to find the peptides stably bound to a number of HLAs by testing random possible peptides for all the various alleles frequent in the population. In order to solve this problem, computational methods have recently been developed to predict peptides which are stably bound to a certain HLA. These methods could markedly decrease the number of candidate peptides to be examined by biological experiments. Accordingly, this paper not only introduces a method of machine learning to predict peptides binding to an HLA, but also suggests a new prediction model so called 'knowledge-based genetic algorithm' that has never been tried for HLA binding peptide prediction. Although based on genetic algorithm (GA). it showed more enhanced performance than GA by incorporating expert knowledge in the process of the algorithm. Furthermore, it could extract rules predicting the binding peptide of the HLA alleles common in Koreans.