• Journal of Plant Biotechnology
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• v.46 no.4
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• pp.255-273
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• 2019

Orchids are indispensable to the floriculture industry due to their unique floral organization. The flowers have two outer whorls of tepals including a lip (labellum), and two inner whorls, pollinia and gynostemiun (column). The floral organization and development is controlled at the molecular level, mainly by the MADS-box gene family, comprising homeotic genes divided into type I and type II groups. The type I group has four sub-groups, Mα, Mβ, Mγ, and Mδ, playing roles in seed, embryo, and female reproductive organ development; the type II group genes form classes A, B, C, D, and E, which are a part of the MIKC^C subgroup with specific roles in florigenesis and organization. The coordinated functioning of these classes regulates the development of various floral whorls. The availability of genome and transcriptome sequence data for Phalaenopsis equestris offers an opportunity to validate the ABCDE model of flower development. Hence, this study sought to characterize the MADS-box gene family and elucidate of the ABCDE model. A total of 48 identified MADS-box proteins, including 20 type I [Mα (12), Mγ (8)] and 28 type II [MIKC^C (27), MIKC*(1)] members, were characterized for physico-chemical features and domains and motifs organization. The exon-intron distribution and the upstream cis-regulatory elements in the promoter regions of MADS-box genes were also analysed. The discrete pace of duplication events in type I and type II genes suggested differential evolutionary constraints between groups. The correlation of spatio-temporal expression pattern with the presence of specific cis-regulatory elements and putative protein-protein interaction within the different classes of MADS-box gene family endorse the ABCDE model of floral development.

• Journal of the Korea Convergence Society
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• v.9 no.10
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• pp.393-406
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• 2018

The depression and anxiety are the most popular mental disorders and not easy to distinguish because of their lots of similarities in the diagnostic criteria, related theories, and clinical symptoms. In this article, we developed the affect scale for distinguishable diagnosis, utilized the relationships between the Positive and Negative affect, and the depression and anxiety. We made up the seed scale of the items which selected by partial correlation, and set the scoring up by multiple regression method. The Multi-dimentional affect scale is reliable and working similarly as the scales used before, but less correlated to each other. We conclude that the affect scale achieved the diagnosis for distinguish between depression and anxiety. Our suggestions for the further study are to redeem the cultural differences, modify by the elaborate methods, and validate by the actual clinical data.

• Journal of Aquaculture
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• v.4 no.1
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• pp.13-18
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• 1991

In order to obtain basic biological data for effective seed production of the red sea bream, Pargus major, the influence of water temperature on egg development was investigated. The time of egg development was shorter with higher water temperature. The relationships between the water temperature($T\;:\;^{\circ}C$) and the required time(t : hour) from egg to each developmental stage were given as follows : 8-cell 1/t=0.0618T-0.5877(r=0.9899) Morula : 1/t=0.0284T-0.2556(r=0.9948) Kupffer's : 1/t=0.0076T-0.0829(r=0.9902) vesicle Hatching : 1/t=0.0031T-0.0350(r=0.9985) Biological minimium temperature for the egg development was estimated to be $10.2^{\circ}C$ in average.

• The Plant Pathology Journal
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• v.34 no.4
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• pp.286-296
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• 2018

Maintenance of a beneficial microbial community, especially in the rhizosphere, is indispensable for plant growth and agricultural sustainability. In this sense, plant growth-promoting rhizobacteria (PGPR) have been extensively studied for their role in plant growth promotion and disease resistance. However, the impact of introducing PGPR strains into rhizosphere microbial communities is still underexplored. We previously found that the Proteus vulgaris JBLS202 strain (JBLS202) promoted growth of Kimchi cabbage and altered the relative abundance of total bacteria and Pseudomonas spp. in the treated rhizosphere. To extend these findings, we used pyrosequencing to analyze the changes in bacterial communities in the rhizosphere of Kimchi cabbage after introduction of JBLS202. The alterations were also evaluated by taxon-specific realtime PCR (qPCR). The pyrosequencing data revealed an increase in total bacteria abundance, including specific groups such as Proteobacteria, Acidobacteria, and Actinobacteria, in the treated rhizosphere. Time-course qPCR analysis confirmed the increase in the abundance of Acidobacteria, Actinobacteria, Alphaproteobacteria, and Betaproteobacteria. Furthermore, genes involved in nitrogen cycling were upregulated by JBLS202 treatment indicating changes in ecological function of the rhizosphere soil. Overall, these results indicate that introduction of JBLS202 alters both the composition and function of the rhizosphere bacterial community, which can have direct and indirect effects on plant growth. Therefore, we propose that long-term changes in bacterial composition and community-level function need to be considered for practical use of PGPRs.

• Molecules and Cells
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• v.40 no.10
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• pp.714-730
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• 2017

Pre-mRNA splicing further increases protein diversity acquired through evolution. The underlying driving forces for this phenomenon are unknown, especially in terms of gene expression. A rice alternatively spliced transcript detection microarray (ASDM) and RNA sequencing (RNA-Seq) were applied to differentiate the transcriptome of 4 representative organs of Oryza sativa L. cv. Ilmi: leaves, roots, 1-cm-stage panicles and young seeds at 21 days after pollination. Comparison of data obtained by microarray and RNA-Seq showed a bell-shaped distribution and a co-lineation for highly expressed genes. Transcripts were classified according to the degree of organ enrichment using a coefficient value (CV, the ratio of the standard deviation to the mean values): highly variable (CVI), variable (CVII), and constitutive (CVIII) groups. A higher index of the portion of loci with alternatively spliced transcripts in a group (IAST) value was observed for the constitutive group. Genes of the highly variable group showed the characteristics of the examined organs, and alternatively spliced transcripts tended to exhibit the same organ specificity or less organ preferences, with avoidance of 'organ distinctness'. In addition, within a locus, a tendency of higher expression was found for transcripts with a longer coding sequence (CDS), and a spliced intron was the most commonly found type of alternative splicing for an extended CDS. Thus, pre-mRNA splicing might have evolved to retain maximum functionality in terms of organ preference and multiplicity.

• Natural Product Sciences
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• v.23 no.4
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• pp.258-264
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• 2017

This study analyzed the seeds of Zizyphus jujuba var. inermis commonly used as a remedy in traditional Chinese medicine, in order to determine its various biologically active compounds. Through process 3-pentadecylcatechol, ${\rho}$-menth-8-ene, and ${\gamma}$-bisabolene were isolated and identified for the first time which are urushiol, monoterpenoidal, and sesquiterpenoidal compounds, respectively. Also, found were another sesquiterpenoidal compounds, vomifoliol, and four steroidal compounds, ${\beta}$-sitosterol, stigmasterol, stigmasta-5,23-dien-$3{\beta}$-ol, and stigmast-4-en-3-one. In addition, fourteen triterpenoidal compounds were isolated and identified. These were lupeol, betulinic acid, betulinaldehyde, alphitolic acid, 3-O-cis-${\rho}$-coumaroyl-alphitolic acid, 3-O-trans-${\rho}$-coumaroyl-alphitolic acid, 2-O-cis-${\rho}$-coumaroyl-alphitolic acid, 2-O-trans-${\rho}$-coumaroyl-alphitolic acid, zizyberanalic acid, ceanothic acid, oleanolic acid, maslinic acid, 3-O-cis-${\rho}$-coumaroyl-maslinic acid, and 3-O-trans-${\rho}$-coumaroyl-maslinic acid. The structures were identified by comparing of the spectroscopic experiments, NMR and MS, and then compared that reported data, respectively. Three extracts of water, methanol, and chloroform from the seeds showed a weak anti-proliferative effect, anti-microbial activity, and anti-oxidant effect, respectively.

• Journal of Crop Science and Biotechnology
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• v.10 no.1
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• pp.13-18
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• 2007

Near-infrared spectroscopy(NIRS) was used as a rapid and nondestructive method to determine the fatty acid composition in intact seed samples of rapeseed(Brassica napus L.). A total of 349 samples(about 2 g of intact seeds) were scanned in the reflectance mode of a scanning monochromator, and the reference values for fatty acid composition were measured by gas-liquid chromatography. Calibration equations for individual fatty acids were developed using the regression method of modified partial least-squares with internal cross validation(n=249). The equations had low SECV(standard errors of cross-validation), and high $R^2$(coefficient of determination in calibration) values(>0.8) except for palmitic and eicosenoic acid. Prediction of an external validation set(n=100) showed significant correlation between reference values and NIRS estimated values based on the SEP(standard error of prediction), $r^2$(coefficient of determination in prediction), and the ratio of standard deviation(SD) of reference data to SEP. The models developed in this study had relatively higher values(> 3.0 and 0.9, respectively) of SD/SEP(C) and $r^2$ for oleic, linoleic, and erucic acid, characterizing those equations as having good quantitative information. The results indicated that NIRS could be used to rapidly determine the fatty acid composition in rapeseed seeds in the breeding programs for high quality rapeseed oil.

• Journal of KIISE:Software and Applications
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• v.28 no.10
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• pp.757-763
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• 2001

This paper propose a new clustering algorithm called G-CLUS based on the relative gravitation. In this method every instance has the same mass at first. the gravitations among instances make each instance move to the attractive direction gradually and eventually natural clusters are formed without the initial seed and the number of clusters. Our proposed method can determine the number of clusters via a process of gravitational agglomeration and it can reduce the sensitivity to outliers by using the resultant of gravitation. We also improved the computational complexity by applying the concept of a cube to the proposed algorithm. In our experiments, we show the behavior of instance movement clustering process for each model, clustering process and the results for an example data set, and the results of comparison between the other clustering algorithm and our proposed. method.

• Herbal Formula Science
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• v.18 no.2
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• pp.167-182
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• 2010

Cervi parvum cornu (Deer Antler) and Carthami tinctorii fructus (Also known as Carthami seed) are widely used for treating osteoporosis and rheumatoid arthritis. In this study, We found out that the water extract of Cervi parvum cornu(WECPC), Carthami tinctorii fructus(WECTF) and their combination have effects of suppressing the RANKL-induced osteoclast differentiation. We assayed mRNA expression levels of NFATc1, c-Fos, TRAP and GAPDHS from bone marrow macrophages(BMMs) by means of RT-PCR. Similarly, the protein expression levels of NFATc1, c-Fos, MAPKs and $\beta$-actin in cell lysates were analyzed by means of Western blotting. then we determined the anti-osteoporotic effects of WECPC, WECTF and their combination using Lipopolysaccharide (LPS)-induced bone-loss mouse. WECPC, WECTF and their combination showed remarkable inhibition on RANKL-treated osteoclast differentiation without cytotoxicity. WECPC suppressed degradation of I-${\kappa}B$. WECPC, WECTF and their combination down-regulated the induction of c-Fos and NFATc1 by RANKL. Lastly, in vivo data showed that WECPC, WECTF and their combination rescued the bone erosion by LPS treatment. Thus, these results demonstrate that WECPC, WECTF and their combination can be efficacious remedies for bone-loss diseases such as osteoporosis and rheumatoid arthritis.

• Journal of the Korea Society of Computer and Information
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• v.15 no.4
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• pp.11-18
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• 2010

Fuzzy c-means (FCM) is a simple but efficient clustering algorithm using the concept of a fuzzy set that has been proved to be useful in many areas. There are, however, several well known problems with FCM, such as sensitivity to initialization, sensitivity to outliers, and limitation to convex clusters. In this paper, global fuzzy c-means (G-FCM) and kernel fuzzy c-means (K-FCM) are combined to form a non-linear variant of G-FCM, called kernel global fuzzy c-means (KG-FCM). G-FCM is a variant of FCM that uses an incremental seed selection method and is effective in alleviating sensitivity to initialization. There are several approaches to reduce the influence of noise and accommodate non-convex clusters, and K-FCM is one of them. K-FCM is used in this paper because it can easily be extended with different kernels. By combining G-FCM and K-FCM, KG-FCM can resolve the shortcomings mentioned above. The usefulness of the proposed method is demonstrated by experiments using artificial and real world data sets.