• Genomics & Informatics
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• v.16 no.4
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• pp.32.1-32.7
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• 2018

Ovarian cancer is one of the leading causes of cancer-related deaths in gynecological malignancies. Over 70% of ovarian cancer cases are high-grade serous ovarian cancers and have high death rates due to their resistance to chemotherapy. Despite advances in surgical and pharmaceutical therapies, overall survival rates are not good, and making an accurate prediction of the prognosis is not easy because of the highly heterogeneous nature of ovarian cancer. To improve the patient's prognosis through proper treatment, we present a prognostic prediction model by integrating high-dimensional RNA sequencing data with their clinical data through the following steps: gene filtration, pre-screening, gene marker selection, integrated study of selected gene markers and prediction model building. These steps of the prognostic prediction model can be applied to other types of cancer besides ovarian cancer.

• Mycobiology
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• v.51 no.6
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• pp.463-467
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• 2023

Soybean is one of the world's most widely cultivated food crops, and soybean seeds are supplied from national seed resources in Korea. However, the transmission of seed-borne diseases through infected soybean seeds is problematic. Among these diseases, soybean seed decay is caused by Diaporthe spp. Infecting the pods, and the infected seeds show rotting symptoms. Most diseased seeds are removed during the selection process; however, it is difficult to distinguish infected seeds that do not display symptoms. Hence, a sequencebased method was devised to screen Diaporthe-infected seeds. Based on the nuclear ribosomal internal transcribe spacer (ITS) region of the pathogen, a primer was designed to distinguish the infection from other soybean seed pathogens. As a result of the comparison between healthy and Diaporthe-diseased seeds by using the primers, Diaporthe was detected only in the diseased seeds. Therefore, it is possible to distribute healthy soybean seeds by detecting Diaporthe-diseased seeds at the genetic level using the Diaporthe-specific primers.

• Journal of Plant Biotechnology
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• v.44 no.1
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• pp.82-88
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• 2017

Transgenic lily plants have been obtained after particle bombardment, using PDS-1000/He system and scale explants of lilies, followed by PPT (D-L-phosphinothricin) selection. In this study, scales of the lily plants cv. 'red flame' were bombarded with a plasmid containing the bar gene as a selectable marker, and the AtSIZ gene as a gene of interest, showing salt tolerance and drought tolerance respectively, and both being driven by the CaMV 35S promoter. For optimization of a protocol, factors which optimized and showed a high transformation efficiency under following conditions, were considered: a bombardment pressure of 1100 psi, a target distance of 6 cm and $1.0{\mu}m$ of gold particle, and 24-h pre-culture and post-culture on MS medium containing 0.2 M sorbitol and 0.2 M mannitol as osmoticum agents. After bombardment, all the bombarded scales of lily were transferred to MS medium without selective agents, for a week. Subsequently, these bombarded scales were transferred to a selection MS medium containing 10 mg/l PPT, and incubated for a month for further selection, after which they were cultured for another 4-8 weeks with a 4-week subculture regime on the same selection medium. After transferring into hormone-free MS medium, the PPT-resistant scales with shoots were successfully rooted and regenerated into plantlets. PCR analysis revealed that the surviving putatively transformed plantlets indicated the presence of both the bar gene and the AtSIZ gene. In conclusion, when 100 scales of lily cv. Red flame are bombarded, this study produced approximately 17-18 transgenic plantlets with an optimized bombardment protocol. The protocol described here can contribute to the breeding program of lilies.

• Molecules and Cells
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• v.25 no.4
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• pp.467-478
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• 2008

Simple sequence repeats (SSRs) and interSSR (ISSR) marker systems were used in this study to reveal genetic changes induced by artificial selection for short/long larval duration in the tropical strain Nistari of the silkworm Bombyx mori. Artificial selection separated longer larval duration (LLD) ($29.428{\pm}0.723days$) and shorter larval duration (SLD) ($22.573{\pm}0.839days$) lines from a base, inbred population of Nistari (larval span of $23.143{\pm}0.35days$). SSR polymorphism was observed between the LLD and SLD lines at one microsatellite locus, Bmsat106 ($CA_7$) and at two loci of 1074 bp and 823 bp generated with the ISSR primer UBC873. Each of these loci was present only in the LLD line. The loci segregated in the third generation of selection and were fixed in opposite directions. In the $F_2$ generation of the $LLD{\times}SLD$ lines, the alleles of Bmsat106 and $UBC873_{1074bp}$ segregated in a 1:1 ratio and the loci were present only in the LLD individuals. $UBC873_{823bp}$ was homozygous. Single factor ANOVA showed a significant association between the segregating loci and longer larval duration. Together, the two alleles contributed to an 18% increase in larval duration. The nucleotide sequences of the $UBC873_{1074bp}$ and $UBC873_{823bp}$ loci had 67% A/T content and consisted of direct, reverse, complementary and palindromic repeats. The repeats appeared to be "nested" (59%) in larger repeats or as clustered elements adjacent to other repeats. Of 203 microsatellites identified, dinucleotides (67.8%) predominated and were rich in A/T and T/A motifs. The sequences of the $UBC873_{1074bp}$ and $UBC873_{823bp}$ loci showed similarity (E = 0.0) to contigs located in Scaffold 010774 and Scaffold 000139, respectively, of the B. mori genome. BLASTN analysis of the $UBC873_{1074bp}$ sequence showed significant homology of (nt.) 45-122 with upstream region of three exons from Bombyx. The complete sequence of this locus showed ~49% nucleotide conservation with transposon 412 of Drosophila melanogaster and the Ikirara insertions of Anopheles gambiae. The A + T richness and lack of coding potential of these small loci, and their absence in the SLD line, reflect the active process of genetic change associated with the switch to short larval duration as an adaptation to the tropics.

• Journal of the Korean Data and Information Science Society
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• v.20 no.4
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• pp.639-647
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• 2009

From development of computer science, genetic algorithm has been applied to many fields for search like non-linear problem based on various variables and optimization process. Among others, in the data mining field, there are methods to select the best input variables for model accuracy and various predict models which were merged by using the genetic algorithm. In the meantime, to improve and preserve quality of the Hanwoo (Korean cattle) which is represented the agricultural industry in our country, we need to find out outstanding economical traits of Hanwoo in having specific genotype of single nucleotide polymorphism (SNP) which is inherited to next generation. According to, This research proposed the selecting method to find genotype of SNPs marker which affects economical traits of the Hanwoo by using the genetic algorithm. And we selected the best genotypes of the principal SNPs marker by applying to real data on Hanwoo genetic.

• KSBB Journal
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• v.10 no.1
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• pp.89-96
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• 1995

An Avabidofsis thaliana gene encoding phosphoribosyl anthranilate transferase is shown to be the gene that is defective in blue fluorescent trp 1 mutant plants. This gene, named PAT1, coding region is homologous to those for the phosphoribosyl anthranilate transferase from many microorganisms. This is due to a defect in tryptophan biosynthesis that leads to an accumulation of anthranilate, a fluorescent intermediate in the tryptophan pathway. PAT1 is a single-copy gene that complements all of the visible phenotypes of the different trp1 mutants. Experiments to determine the regulation of the PAT1 gene are in progress. The wild-type PAT1 promoter and several promoter deletions of PAT1 gene have been transformed into Arabidopsis tryptophan mutants. These constructs might identify promoter elements that control this patterns. We have isolated the homozygous lines in T3 seeds and analysed the protein levels using PAT antibody and PAT protein level increased two fold in pHSl07. Finally, the potential of using PAT1 as a selectable marker or visible reporter of gene expression is being explored.

• Horticultural Science & Technology
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• v.35 no.4
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• pp.465-479
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• 2017

Chili pepper (Capsicum annuum L.) is an economically important horticultural crop in Korea; however, various diseases, including Phytophthora root rot, anthracnose, powdery mildew, Cucumber mosaic virus (CMV), Pepper mild mottle virus (PMMoV), and Pepper mottle virus (PepMoV), severely affect their productivity and quality. Therefore, pepper varieties with resistance to multiple diseases are highly desired. In this study, we developed 20 SNP type assays for three pepper populations using Fluidigm nanofluidic dynamic arrays. A total of 4,608 data points can be produced with a 192.24 dynamic array consisting of 192 samples and 24 SNP markers. The assays were converted from previously developed sequence-tagged-site (STS) markers and included markers for resistance to Phytophthora root rot (M3-2 and M3-3), anthracnose (CcR9, CA09g12180, CA09g19170, CA12g17210, and CA12g19240), powdery mildew (Ltr4.1-40344, Ltr4.2-56301, and Ltr4.2-585119), bacterial spot (Bs2), CMV (Cmr1-2), PMMoV (L4), and PepMoV (pvr1 and pvr2-123457), as well as for capsaicinoids content (qcap3.1-40134, qcap6.1-299931, qcap6.1-589160, qdhc2.1-1335057, and qdhc2.2-43829). In addition, 11 assays were validated through a comparison with the corresponding data of the STS markers. Furthermore, we successfully applied the assays to commercial $F_1$ cultivars and to our breeding lines. These 20 SNP type assays will be very useful for developing new superior pepper varieties with resistance to multiple diseases and a higher content of capsaicinoids for increased pungency.

• Journal of Life Science
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• v.24 no.11
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• pp.1258-1267
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• 2014

Developing economic traits with a high growth rate, robustness, and disease resistance in livestock is an important challenge. RFLP and AFLP are the classical methods used to develop economic traits. Whole-genome-based economic traits have recently been detected with the advent of next-generation sequencing (NGS) technologies. However, NGS technologies are rather costly for use in studies, and RNA-seq, RAD-Seq, RRL, MSG, and GBS have been used to overcome the issue of high costs. In this study, recent NGS-based studies were reviewed, particularly those that focused on minimum costs and maximum effects. Then, we presented further prospects on how to apply for selection of high economic-trait livestock.

• Molecules and Cells
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• v.23 no.1
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• pp.72-79
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• 2007

Demand for low-input sustainable crop cultivation is increasing to meet the need for environment-friendly agriculture. Consequently, developing genotypes with high nutrient use efficiency is one of the major objectives of crop breeding programs. This study was conducted to identify QTLs for traits associated with physiological nitrogen use efficiency (PNUE). A recombinant inbred population (DT-RILs) between Dasanbyeo (a tongil type rice, derived from an indica ${\times}$ japonica cross and similar to indica in its genetic make-up) and TR22183 (a Chinese japonica variety) consisting of 166 $F_8$ lines was developed and used for mapping. A frame map of 1,409 cM containing 113 SSR and 103 STS markers with an average interval of 6.5 cM between adjacent marker loci was constructed using the DT-RILs. The RILs were cultivated in ordinary-N ($N-P_2O_5-K_2O=100-80-80kg/ha$) and low-N ($N-P_2O_5-K_2O=50-80-80kg/ha$) (100 kg/ha) conditions. PNUE was positively correlated with the harvest index and grain yield in both conditions. Twenty single QTLs (S-QTLs) and 58 pairs of epistatic loci (E-QTLs) were identified for the nitrogen concentration of grain, nitrogen concentration of straw, nitrogen content of shoot, harvest index, grain yield, straw yield and PNUE in both conditions. The phenotypic variance explained by these S-QTLs and E-QTLs ranged from 11.1 to 44.3% and from 16.0% to 63.6%, respectively. The total phenotypic variance explained by all the QTLs for each trait ranged from 35.8% to 71.3%, showing that the expression of PNUE and related characters depends signify- cantly upon genetic factors. Both S-QTLs and E-QTLs may be useful for marker-assisted selection (MAS) to develop higher PNUE genotypes.

• Korean Journal of Poultry Science
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• v.35 no.4
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• pp.335-339
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• 2009

The very low density apolipoprotein-II (apoVLDL-II) gene is closely related with the constitution of the lipoprotein in various tissues. The apoVLDL-II gene have main functions for reducing fat elements from tissues and muscles. Previous results indicated that the polymorphisms in apoVLDL-II gene were positively related with growth and body composition traits in chicken. In this study, we analyzed previously identified apoVLDL-II gene polymorphisms using the PCR-RFLP method and investigated allele and genotype frequencies in three chicken breeds. Data indicated that Korean native chicken and Korean Oge chicken have similar B and F gene frequencies, indicating that this marker can be used for the improvement of growth and body composition traits in those breeds and can be used as marker assisted selection with further verifications.