• Microbiology and Biotechnology Letters
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• v.26 no.1
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• pp.23-33
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• 1998

The entire sequence of a 4,214,810 bp genome of the Bacillus subtilis 168 has been determined by an international project, and the completion has been announced on July 19, 1997. For the sequencing project an international consortium was established and 25 European, 7 Japanese laboratories, 2 biotechnology companies, and our laboratory participated in the project. Within this framework we determined the complete nucleotide sequence of a 53,289 bp fragment upstream of the odhA gene (181 $^{\circ}$) of the B. subtilis 168 chromosome. On the basis of the published DNA sequences of the B. subtilis sspC and odhA genes, we obtained genomic fragments by plasmid rescue and long-range PCR. The sequenced fragment contains 56 putative open reading frames (designated yojA-yolI and 9 known genes (sspC, cge cluster, orfE5, orfRMl and odhA), in which we found many interesting features. In addition, the entire nucleotide sequence of a 53,289 bp region enabled us to revise the current genetic map of this region.

• Journal of Korean Biological Nursing Science
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• v.5 no.1
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• pp.13-22
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• 2003

The purpose of this study was to investigate and analyze current educational requirements related to genetics curriculum(from June 2002 to September 2002) established at nursing institutions and to provide the basic data for the development of genetics science program at the undergraduate. Subjects of this study were comprised of twenty-three colleges of nursing in 4-year baccalaureate and thirty colleges in 3-year diploma programs. The results of this study were as follows : 1) 32 colleges offer courses related to genetics. 29 among 32 colleges have that integrated. Three schools have established completely independent courses of genetics. 21 colleges do not have any courses dealing with genetics. 2) The contents of courses related to genetics include: Congenital abnormalities, chromosomal aberrations, congenital metabolic disease, prenatal diagnosis and genetic counseling, genes and chromosomes, immune genetics, blood type and genetics, rule of genetics, variation in gene expression, the map of the human gene, gene linkage genetics, interaction of genes, single inheritance in order and genetic biochemistry. 3) For course credit, 14colleges(48.3%) offered at most 1 credit per course. The grade of student who can take the course, 51.7% were in their second year while 37.9% were in their third year. The majors of nursing faculty who taught the course were nursing(51.7%) and basic nursing science(17.2%). 4) As far as the need of opening the courses related to genetics, 36 colleges(67.0%) have made a 'need', 12 schools(22.6%) state 'dose not need'. 711e reason for need were the following development of bio engineering, increase number of patients who are related to genetics, recognition of the need in clinical nursing. 7 schools(13.2%) agreed to offer independent course in genetics but 39 schools(73.6%) are in disagreement with that. When the school offers the course with other courses, 27 schools(50.0%) are opening basic nursing science and 14 schools(26.4%) are opening nursing as an integrated courses. If the name of course was either genetic nursing(34.0%) or genetics(28.3%), the credits for the course was one or 2 credits. 33 schools(62.3%) students were in the first or second years. 41 schools(84.9%), the majors of the faculty who had taught the course were either basic nursing science(35.8%), nursing(28.3%) or basic medicine(24.5%). The contents of the course should include in that order: Chromosome aberrations, prenatal diagnosis and genetic counseling, congenital metabolic disease, congenital abnormalities, genes and chromosomes, the rules of genetics, immune genetics, interaction of genes, variation in gene expression, etc. The results and discussions of the study indicate that the entire curriculums need to be investigated with respect to contents of education, nursing curriculums and name of courses because of the increasing need of knowledge related to genetics in the clinical practice.

• KOREAN JOURNAL OF CROP SCIENCE
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• v.52 no.1
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• pp.51-54
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• 2007

Soybean has a morphological type with a broadened and flattened stem. Fasciation has been suggested as a new gene for soybean research. SSR marker linked to the $\Large f$ locus that controls fasciation phenotype has not identified within 10 cM. A mapping population consisting of 94 $F_2$ progenies was derived from a cross between wild type Clark (FF) and fasciation mutant C32 (${\Large f}{\Large f}$). The phenotype of $F_2$ individual plants was recorded at R2 and R3 growth stage from field. One-thousand 10-mer oligonucleotide RAPD primers and 29 SSR primers selected from the D1b+W of the soybean molecular linkage map were used. A genetic map was constructed from the segregating 35 RAPD, four SSR markers and one phenotypic(wild type/fasciation) marker. The segregation ratios of 3 : 1 observed in the $F_2$ population and the Chi-square values strongly suggest that the fasciation trait is controlled by a single recessive gene. Satt537 marker was linked to $\Large f$ locus at a distance of 9.6 cM. Assignment of the $\Large f$ locus to linkage group D1b+W and identification of markers can be used as an initial step for fine mapping of the $\Large f$ gene.

• Korean Journal of Biological Psychiatry
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• v.8 no.1
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• pp.62-70
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• 2001

Alzheimer's disease(AD) is associated with a characteristic neuropathology. The major hallmarks of AD are senile plaques (SPs) and neurofibrillary tangles(NFTs). ${\beta}$-amyloid protein($A{\beta}$) is derived from the proteolysis of amyloid precursor protein(APP) and then converted to SPs. Mature SPs produce cytotoxicity through direct toxic effects and activation of microglia and complement. NFTs are composed of paired helical filaments(PHFs) including abnormally phosphorylated form of the microtubule-associated protein(MAP) tau and increased tau level in cerebrospinal fluid may be observed in most AD. The aggregation of $A{\beta}$ and tau formation are thought to be a final common pathway of AD. Acetylcholine, dopamine, serotonin, GABA and their receptors are associated with AD. Especially, decreased nicotinic acetylcholine receptors(nAChRs) in AD are reported. Genetic lesions associated with AD are mutations in the structural genes for the APP located on chromosome 21, presenilin(PSN)1 located on chromosome 14 and PSN2 located on chromosome 1. Also, trisomy 21, Apo-E gene located on chromosome 19, PMF locus, low density lipoprotein receptor-related protein and ${\alpha}$-macroglobulin increase risk of AD. In this article, we will review about the neurobiology of AD and some newly developed research areas.

• Proceedings of the Korean Society of Life Science Conference
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• 2000.06a
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• pp.9-10
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• 2000

The aging process is multifactorial and results from the combined effects of inherited(genetic) and acquired factors including life style, food habits, physical activity, and diseases. That give rise to the various approaches in aging. We are trying to study biological changes with aging, In detail we are focused on gene and protein function accompanied by normal or abnormal aging process, especially our efforts are aimed at revealing the functional relationship of proteins in aging as a final product of gene. We expect that proteomic approach to the study of protein function involved in aging should give us variety of integrated data to understand biological changes of long lived lives, We have applied expression proteomics to rat liver bred in dietary restriction or in at libitum to elucidate the effects of food habit on aging. Expression proteomics shows us protein profile in a selected tissue or cells as a whole and gives us the information about protein expression level, posttranslational modification and degenerative modification of expressed proteins. Comparative analysis of young and old rat liver by two dimensional gels shows that gene expression of several proteins was down regulated in old rats and some protein expression level is increased with aging. Dietary restriction slows down these changes of gene expression and in some proteins there's no difference in protein expression level at same ages in comparison with rats bred in at libitum. About forty protein was identified by peptide mass fingerprint with MALDI-TOF and rest of the protein of interest is in the course of identification, Also we are trying to make mitochondrial and cytosolic proteom reference map. These suborganelle proteom map will gives us the information about low abundance proteins and cellular localization of proteins. Proteomics is a growing methodology to study biological system. High throughput qualitative and qualitative aspect of this approach will gives us large amount of integrated information and speed up our understanding about biological system

• KOREAN JOURNAL OF CROP SCIENCE
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• v.51 no.2
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• pp.169-172
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• 2006

Leaflet number of soybean controlled by Lf2 locus is the important trait in photosynthesis and plant type. The objective of this research was to identity molecular markers linked to the lf2 locus. A total of $115F_2$ plants were derived from a cross between normal three-leaflet type Sinpaldalkong (Lf2Lf2) and seven-leaflet mutant type T255 (lf2lf2). All leaflet counts of parents and $F_2$ individual plants were made in the field on fully expanded leaves on the main stem when terminal growth of the main stem had ceased. One-thousand 10-mer oligonucleotide RAPD primers and 664 SSR primers were used. The segregation ratios of 3 : 1 were observed in the $F_2$ population and the Chi-square values strongly suggested that the seven-leaflet was controlled by a single recessive gene. A genetic map was constructed from the 15 segregating markers (9 RAPDs, 5 SSRs, 1 lf2 locus). OPAD03 and OPAI13 RAPD markers were linked to the lf2 locus that controlled seven-leaflet type at a distance of 20.5 and 23.5 cM, respectively. Molecular markers identified in this study linked with lf2 locus will be helpful to locate lf2 locus on the public soybean molecular linkage map and would be useful for tagging the lf2 locus that controls seven-leaflet trait.

• Proceedings of the KSAR Conference
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• 2001.03a
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• pp.48-48
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• 2001

A new neurological mutant has been found in the ICR outbred strain mouse. Affected mice display profound deafness and a head-tossing and bidirectional circling behavior, showing an autosomal recessive mode of inheritance. It was, therefore, named cir/Kr with the gene symbol cir. The auditory tests identified clearly the hearing loss of the cir mice when compared to wild type mice. Pathological studies confirmed the developmental defects in the middle ear, cochlea, cochlear nerve, and semicircular canal areas, which were correlated to the abnormal behavior observed in the cir mice. Thus, cir mice may be useful as a model for studying inner ear abnormalities and deafness. We have constructed a genetic linkage map by positioning 14 microsatellite markers across the (cir) region and intraspecific backcross between cir and C57BL/6J mice. The cir mouse harbors an autosomal recessive mutation on mouse chromosome 9. The cir gene was mapped to a region between D9Mit116 and D9Mit38 Estimated distances between cir and D9Mit116, and between cir and D9Mit38 are 0.7 and 0.2 cM, respectively. The gene in order was defines : centromere-D9Mit182-D9Mit51/D9Mit79/D9Mit310-D9Mit212/D9Mit184-D9Mit116-cir-D9Mit38-D9Mit20-D9Mit243-D9Mit16-D9Mit55/D9Mit125-D9Mit281. The mouse map location of the cir locus appears to be in a region homologous to human 3q21. Our present date suggest that the nearest flanking marker D9Mit38 provides a useful anchor for the isolation of the cir gene in a yeast artificial chromosome contig.

• Proceedings of the Korean Society of Crop Science Conference
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• 2017.06a
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• pp.146-146
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• 2017

The pod shattering or dehiscence is essential for the propagation of pod-bearing plant species in the wild, but it causes significant yield losses during harvest of domesticated crop plants. Identifying novel molecular makers, which are linked to seed-shattering genes, is needed to employ the molecular marker-assisted selection for efficiently developing shattering-resistant soybean varieties. In this study, a genetic linkage map was constructed using 115 recombinant inbred lines (RILs) developed from crosses between the pod shattering susceptible variety, Keunol, and resistant variety, Sinpaldal. A 180 K Axiom(R) SoyaSNPs data and pod shattering data from two environments in 2001 and 2015 were used to identify quantitative trait loci (QTL) for pod shattering. A major QTL was identified between two flanking single nucleotide polymorphism (SNP) markers, AX-90320801 and AX-90306327 on chromosome 16 with 1.3 cM interval, 857 kb of physical range. In sequence, genotype distribution analysis was conducted using extreme phenotype RILs. This could narrow down the QTL down to 153 kb on the physical map and was designated as qPDH1-KS with 6 annotated gene models. All exons within qPDH1-KS were sequenced and the 6 polymorphic SNPs affecting the amino acid sequence were identified. To develop universally available molecular markers, 38 Korean soybean cultivars were investigated by the association study using the 6 identified SNPs. Only two SNPswere strongly associated with the pod shattering. These two identified SNPs will help to identify the pod shattering responsible gene and to develop pod shattering-resistant soybean plants using marker-assisted selection.

• Journal of Crop Science and Biotechnology
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• v.11 no.4
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• pp.243-248
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• 2008

The bean bug Riptortus clavatus Thunberg (Heteroptera: Alydidae) is an important pest, causing serious yield loss in soybean. But the information on mechanism of resistance to R. clavatus is limited. The objective of this study was to identify QTLs for R. clavatus resistance using simple sequence repeat (SSR) markers in a soybean population of recombinant inbred lines (RILs) developed from the cross PI 171451 ${\times}$ Hwaeomputkong. A genetic map from this population was constructed with a total of 136 SSR markers covering 1073.9 cM on 20 linkage groups (LGs). With 126 $F_5$ RILs, two independent QTLs for resistance to R. clavatus were mapped on LGs B1 and C2. The amount of phenotypic variation explained by these QTLs ranged from 12 to 16%. PI 171451 showed an escape response to R. clavatus. Under feeding conditions, 14.4% of RILs showed greater resistance to R. clavatus than the resistant parent. The resistance to R. clavatus in soybean from PI 171451 was incomplete and quantitatively inherited and the QTLs for resistance to R. clavatus detected in the RIL population were not significantly affected by epistatic interactions.

• Journal of Soil and Groundwater Environment
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• v.19 no.4
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• pp.31-44
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• 2014

In the present study, a few of recently developed geostatistical models are comparatively studied. The models are two-point statistics based sequential indicator simulation (SISIM) and generalized coupled Markov chain (GCMC), multi-point statistics single normal equation simulation (SNESIM), and object based model of FLUVSIM (fluvial simulation) that predicts structures of target object from the provided geometric information. Out of the models, SNESIM and FLUVSIM require additional information other than conditioning data such as training map and geometry, respectively, which generally claim demanding additional resources. For the comparative studies, three-dimensional fluvial reservoir model is developed considering the genetic information and the samples, as input data for the models, are acquired by mimicking realistic sampling (i.e. random sampling). For SNESIM and FLUVSIM, additional training map and the geometry data are synthesized based on the same information used for the objective model. For the comparisons of the predictabilities of the models, two different measures are employed. In the first measure, the ensemble probability maps of the models are developed from multiple realizations, which are compared in depth to the objective model. In the second measure, the developed realizations are converted to hydrogeologic properties and the groundwater flow simulation results are compared to that of the objective model. From the comparisons, it is found that the predictability of GCMC outperforms the other models in terms of the first measure. On the other hand, in terms of the second measure, the both predictabilities of GCMC and SNESIM are outstanding out of the considered models. The excellences of GCMC model in the comparisons may attribute to the incorporations of directional non-stationarity and the non-linear prediction structure. From the results, it is concluded that the various geostatistical models need to be comprehensively considered and comparatively analyzed for appropriate characterizations.