• Korean Journal of Veterinary Service
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• v.36 no.1
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• pp.23-30
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• 2013

An avian rotavirus (AvRV-2) was isolated from feces of broilers suffering from acute gastroenteritis in 2011. It was the first avian rotavirus isolated in Korea. To investigate the molecular characteristics of AvRV-2, the VP4, VP6, VP7 and NSP4 gene nucleotide sequences were determined and compared with those of rotavirus strains available in the GenBank database. The phylogenetic tree of VP7 gene showed that AvRV-2 had a high degree of nucleotide sequence homology (93.4% to 94.7%) with those of rotaviruses belonging to genotype G19 cluster. The phylogenetic tree of the VP4 gene revealed a high degree of nucleotide sequence homology (95.8% to 95.9%) with genotype P[30] rotaviruses isolated from chickens. The VP6 and NSP4 gene nucleotide sequences showed the highest identities with those of avian strains with 95.3% to 96.4% and 90.3% to 92.2%, respectively. Genetic characterization of the VP4, VP6, VP7 and NSP4 showed that AvRV-2 strain was most closely related to chicken rotavirus strains from Germany and Japan. Comparative nucleotide sequences and phylogenetic analysis indicated that avian rotavirus isolated from broilers belonged to genotype G19P[30] and it was the first report on avian rotavirus infection in Korea.

• Journal of Life Science
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• v.21 no.7
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• pp.939-946
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• 2011

Sequence data of Cytochrome Oxidase Subunit I (COI) gene of mitochondria were used to elucidate the taxonomy and phylogenetic relationships of the terrestrial planarian taxa in Korea. Published COI gene sequences from Family Bipaliidae in GenBank were also included in the phylogenetic analysis. The aligned data sets for Terricola ranged from 387 to 444 nucleotides (bp) as a result of differences in insert nucleotides. The phylogeny based on COI analysis was not congruenced with the morphological traits. Bipalium nobile included the remainder taxa (Bipalium adventitium, Bipalium venosum, Bipalium kewense, and Bipalium multilineatum). Internal nodes were strongly supported (>91%). The phylogenetic tree on COI analysis showed that most identified species were well separated from each other. The main phylogenetic analysis formed monophyletic groups. COI gene of mitochondria could have the resolving power for taxonomy information for the terrestrial planarian taxa in Korea.

• Journal of Animal Science and Technology
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• v.54 no.6
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• pp.411-418
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• 2012

KIT gene is the major causative gene for coat color variation in diverse animal species. This gene regulates melanocyte migration from the neural crest to target tissues and the mutation of this gene can affect dominant white phenotypes in animals. Because this gene has a major influence for the coat color variation, single nucleotide polymorphisms (SNPs) in 14 Korean cattle (Hanwoo) and 5 Holstein individuals were investigated. The Hanwoo DNA samples included three different colored (5 Black, 5 Yellow and 4 Stripe) animals. Total 126 polymorphisms have been identified and 23 of them are located in the exon region. Also, 5 bp (TTCTC) and 3 bp (TCT) intronic indels in intron 3 and intron 5, respectively, were identified. Out of 23 exonic polymorphisms, 15 SNPs are the missense mutations and the rest of the SNPs are silence mutations. The neighbor-joining phylogenetic tree was constructed for the different colored animals using the obtained KIT gene sequences. Holstein breed showed a clear breed-specific cluster in the phylogenetic tree which is differed from Hanwoo. Also, three colored Hanwoo animals were not discriminated among the breeds. The KIT gene polymorphisms identified in this study will possibly give some solutions for the color variations in cattle with further verifications.

• 한국생물공학회:학술대회논문집
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• 2003.04a
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• pp.686-689
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• 2003

A Gene content phylogenetic tree and a 16S rRNA based phylogenetic tree were compared for 9 Archaea and 15 Proteobacteria, whole-genome sequenced, by neighbor joining and bootstrap methods (n=1000). Ratio of conserved COG (clusters of orthologous groups of proteins) to ortholog revealed that they were within the range of 4.60% (Mezorhizobium loti) or 56.57% (Mycoplasma genitalium), The diversity of ratio meant the Possibility of searching for useful genes, as they possess peculiar genes. The gene content tree and the 16S rDNA tree showed coincidence and discordance in Archaea and Proteobacteria.

• Molecules and Cells
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• v.21 no.1
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• pp.82-88
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• 2006

The global pattern of growth-dependent gene expression in Streptococcus pneumoniae strains was evaluated using a high-density DNA microarray. Total RNAs obtained from an avirulent S. pneumoniae strain R6 and a virulent strain AMC96-6 were used to compare the expression patterns at seven time points (2.5, 3.5, 4.5, 5.5, 6.0, 6.5, and 8.0 h). The expression profile of strain R6 changed between log and stationary growth (the Log-Stat switch). There were clear differences between the growth-dependent gene expression profiles of the virulent and avirulent pneumococcal strains in 367 of 1,112 genes. Transcripts of genes associated with bacterial competence and capsular polysaccharide formation, as well as clpP and cbpA, were higher in the virulent strain. Our data suggest that late log or early stationary phase may be the most virulent phase of S. pneumoniae.

• Proceedings of the Plant Resources Society of Korea Conference
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• 2023.04a
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• pp.11-11
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• 2023

Due to the abundance of information in Nuclear DNA, it has a magnificent phylogenetic resolution. Moreover, because they show biparental inheritance, it has proven to be superior to organelle DNA, which has a limited number of genes and only shows maternal lineage. In particular, the transcriptome, which includes much nuclear DNA but is relatively inexpensive to analyze, can provide valuable insights into evolution through selection analysis and enable gene function research. This study's dataset includes 45 transcriptomes (16 generated for this study). It aims to explore the evolutionary history of Apioideae by comparing the results of the phylogenetic analysis with gene tree discordance and chloroplast phylogeny. The results confirmed the taxonomic positions of Peucedanum terebinthaceum, Ligusticum tachiroei, and Cymopterus melanotilingia and proposed a genus change for Glehnia littoralis. High gene tree discordances were identified in recently diverged clades, suggesting frequent hybridization and introgression. In the most recently diverged tribe of Selineae, the highest number of PSGs (positively selected genes) has been confirmed, which is inferred to be due to the geological and climatic diversity of their originated habitat, Central Asia. These genes include those related to responses to growth and drought, oxidative, and salt stress. In particular, the CYP97A gene confirmed as PSGs in Bupleurum latissimum is inferred to be a result of adaptation to the light-limited environment of Ulleungdo Island, as it is associated with the efficiency of photosynthesis.

• The Korean Journal of Zoology
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• v.38 no.3
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• pp.324-329
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• 1995

The phylogenetic relationships between Cheju native horses and Tsushima native horses were studied by protein polymorphism analyses in 16 gene loci (Trypsin inhibitor: Ti, Chymotrypsin inhibitor: CTi, Albumin: Al, Esterase: Es, Transferrin: Tf, Hemoglobin: Hb, Catalase: Cat, Esterase D: EsD, Glutamate oxaloacetate transaminase: GOT, Glyoxalase I: GLO I, Acid phosphatase: AcP, Superoxide dismutase: SOD, Lactate dehydrogenase: LDH, Hexokinase: HK, Malate dehydrogenase: MDH, Malic enzyme: ME). All allelic patterns of the protein loci, except 5 loci (SOD, LDH, HK, MDH, ME), were polymorphic in both two populations. Gene frequencies of the polymorphic loci of the population of Cheju native horses were higher than those of Tsushima native horses. Average heterozygosity in Cheju native horses was 0.375, showing higher than that of Tsushima native horses (0.304). The Da distance and gene identity of two populations were 0.108 and 0.868, respectively. The phylogenetic tree constructed by these results and those previously reported in other horse populations, consisted of three clusters. From this phylogenetic tree, it could be suggested that Cheju native horses and Tsushima native horses had diverged from the Mongolian wild horse (Equus prsewolskii).

• Asian Pacific Journal of Cancer Prevention
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• v.17 no.2
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• pp.835-838
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• 2016

Background: Lung cancer remains one of the most common cancers in the world, both in terms of new cases (about 13% of total per year) and deaths (nearly one cancer death in five), because of the high case fatality. Errors in lung cancer type or malignant growth determination lead to degraded treatment efficacy, because anticancer strategy depends on tumor morphology. Materials and Methods: We have made an attempt to evaluate effectiveness of machine learning algorithms in the task of lung cancer classification based on gene expression levels. We processed four publicly available data sets. The Dana-Farber Cancer Institute data set contains 203 samples and the task was to classify four cancer types and sound tissue samples. With the University of Michigan data set of 96 samples, the task was to execute a binary classification of adenocarcinoma and non-neoplastic tissues. The University of Toronto data set contains 39 samples and the task was to detect recurrence, while with the Brigham and Women's Hospital data set of 181 samples it was to make a binary classification of malignant pleural mesothelioma and adenocarcinoma. We used the k-nearest neighbor algorithm (k=1, k=5, k=10), naive Bayes classifier with assumption of both a normal distribution of attributes and a distribution through histograms, support vector machine and C4.5 decision tree. Effectiveness of machine learning algorithms was evaluated with the Matthews correlation coefficient. Results: The support vector machine method showed best results among data sets from the Dana-Farber Cancer Institute and Brigham and Women's Hospital. All algorithms with the exception of the C4.5 decision tree showed maximum potential effectiveness in the University of Michigan data set. However, the C4.5 decision tree showed best results for the University of Toronto data set. Conclusions: Machine learning algorithms can be used for lung cancer morphology classification and similar tasks based on gene expression level evaluation.

• Korean Journal of Microbiology
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• v.46 no.3
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• pp.296-302
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• 2010

Microcystis (Cyanobacteria, Chroococcales) is one of the green tide-causing organisms in freshwaters, and some species produce microcystin that is hepatotoxin. In the aspects of freshwater quality controls and health concerns, therefore it is necessary to manage the harmful organisms. In the present study, RNA polymerase beta subunit (rpoB) gene sequences of Microcystis were determined and characterized in order to use a potential marker for the molecular detections of the species. Microcystis rpoB showed high divergences of DNA similarity and genetic distances when compared with those of 16S rRNA, and the molecular differences were statistically significant (Student t-test, p<0.05). Parsimony analyses showed the rpoB gene evolves more than 2-fold faster than 16S rRNA. In addition, phylogeny of the rpoB gene separated each M. aeruginosa strain more clearly compared with a 16S rRNA tree. This study found that the order Chroococcales, including Microcystis, has approximately two rRNA operons and single copy of the rpoB gene in their chromosomes. These results suggest that the rpoB gene is a useful marker for the molecular phylogenetics and the detection of Microcystis.

• Communications for Statistical Applications and Methods
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• v.19 no.6
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• pp.799-808
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• 2012

It is known that human disease and the economic traits of livestock are significantly affected by a gene combination effect rather than a single gene effect. Existing methods to study this gene combination effect have disadvantages such as heavy computing, cost and time; therefore, to overcome those drawbacks, the SNPHarvester was developed to find the main gene combinations. In this paper, we looked for gene combinations using an adjusted linear regression model. This research finds that superior gene combinations which are related to the quality of the Korean beef cattle among sets of SNPs using SNPHarvester. We also identify the superior genotypes using a decision tree that can enhance the various qualities of Korean beef among selected a SNP combination.