• Title/Summary/Keyword: Station similarity

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Isolation and Characterization of Marine Bacterium Producing Arylsulfatase

  • BYUN , DAE-SEOK;KIM, DOO-SANG;J. SAMUEL GODBER,;NAM, SOO-WAN;OH, MYONG-JOO;SHIM, HANG-SUN;KIM, HYEUNG-RAK
    • Journal of Microbiology and Biotechnology
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    • v.14 no.6
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    • pp.1134-1141
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    • 2004
  • A bacterial strain capable of hydrolyzing sulfate ester bonds in p-nitrophenyl sulfate and agar was isolated from the Southeast coast of Korea. The isolated strain (AS6330) is aerobic, Gram-negative, rod-shaped, and motile. Octadecanoic acid was the major cellular fatty acid in the isolate. An almost complete 16S rDNA sequence of the isolate was determined and the sequence similarity of the 16S rDNA with those of known Sphingomonas spp. was found to be at most $96.4\%$, implying that the isolate was a new Sphingomonas species. The organism was grown optimally at NaCl concentration of $1.5-3.5\%$. Optimum culture conditions were determined to be $30^{\circ}C$ and pH 7.0 for 48 h fermentation using a laboratory fermentor under constant culture conditions. Partially purified arylsulfatase through Q-Sepharose and phenyl­Sepharose chromatographies catalyzed hydrolysis of sulfate ester bonds in agar, and $97\%$ of sulfates in agar were removed after 4 h reaction at $45^{\circ}C$ and pH 7.0. The arylsulfatase from the isolated bacterium might be useful for the removal of sulfate groups in agar.

Phylogenetics and Gene Structure Dynamics of Polygalacturonase Genes in Aspergillus and Neurospora crassa

  • Hong, Jin-Sung;Ryu, Ki-Hyun;Kwon, Soon-Jae;Kim, Jin-Won;Kim, Kwang-Soo;Park, Kyong-Cheul
    • The Plant Pathology Journal
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    • v.29 no.3
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    • pp.234-241
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    • 2013
  • Polygalacturonase (PG) gene is a typical gene family present in eukaryotes. Forty-nine PGs were mined from the genomes of Neurospora crassa and five Aspergillus species. The PGs were classified into 3 clades such as clade 1 for rhamno-PGs, clade 2 for exo-PGs and clade 3 for exo- and endo-PGs, which were further grouped into 13 sub-clades based on the polypeptide sequence similarity. In gene structure analysis, a total of 124 introns were present in 44 genes and five genes lacked introns to give an average of 2.5 introns per gene. Intron phase distribution was 64.5% for phase 0, 21.8% for phase 1, and 13.7% for phase 2, respectively. The introns varied in their sequences and their lengths ranged from 20 bp to 424 bp with an average of 65.9 bp, which is approximately half the size of introns in other fungal genes. There were 29 homologous intron blocks and 26 of those were sub-clade specific. Intron losses were counted in 18 introns in which no obvious phase preference for intron loss was observed. Eighteen introns were placed at novel positions, which is considerably higher than those of plant PGs. In an evolutionary sense both intron loss and gain must have taken place for shaping the current PGs in these fungi. Together with the small intron size, low conservation of homologous intron blocks and higher number of novel introns, PGs of fungal species seem to have recently undergone highly dynamic evolution.

Evaluation of Genetic Diversity among Soybean Genotypes Using SSR and SNP

  • Lee, Suk-Ha;P. Tanya;O, Srinives;T. Toojinda;A. Vanavichit;Ha, Bo-Keun;Bae, Jeong-Suk;Moon, Jung-Kyung
    • KOREAN JOURNAL OF CROP SCIENCE
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    • v.46 no.4
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    • pp.334-340
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    • 2001
  • Two different types of molecular markers, simple sequence repeat (SSR) and single nucleotide polymorphism (SNP), were used to measure genetic diversity among five Korean, eight Thai, and three wild soybeans. For SSR analysis, a total of 20 markers were surveyed to detect polymorphisms. For SNP analysis, four primers were designed from consensus sequence regions on disease resistance protein homolog genes, and used to amplify the genomic region. The PCR products were sequenced. A number of polymorphic SSR and SNP bands were scored on all genotypes and their genetic similarity was measured. Clustering analysis was performed independently on both types of markers. Clustering based on SSR markers separated the genotypes into three main groups originated from Korea, Thailand, and wild soybeans. On the other hand, two main groups were classified using SNP analysis. It seemed that SSR was more informative than SNP in this study. This may be due to the fact that SNP was surveyed on the smaller genomic region than SSR. Grouping based on the combined data of both markers revealed similar results to that of SNP rather than that of SSR. This might be due to the fact that more loci from SNP were considered to measure genetic relatedness than those from the SSR.

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Wind Effect on Tidal Currents in the Neighborhood of Haeundae Beach (해운대 해수욕장 전면 해상의 조류에 미치는 바람효과)

  • Lee, Moon-Ock;Lee, Jong-Sup;Kim, Byeong-Kuk;Kim, Jong-Kyu
    • Journal of Korean Society of Coastal and Ocean Engineers
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    • v.22 no.1
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    • pp.34-46
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    • 2010
  • We observed tidal currents throughout all four seasons in 2007 at a single station, located 1.6km off Haeundae Beach and compared these current data with wind data. The direction of seasonal wind represented a similarity between the winds at sea and on land but the speed of wind at sea was almost three times stronger than the wind on land. In addition, the wind at sea turned out to considerably affect on tidal currents, particularly from late summer to autumn. On the other hand, the thickness of Ekman Layer, indicating a limitation of wind influence, was estimated to be 31.8 m on average, suggesting that the entire water column is under the influence of wind. Therefore, we are required to consider the wind stress into the analysis of tidal currents for the prevention of the loss of sand from Haeundae Beach.

Isolation and Characterization of a Doritaenopsis Hybrid GIGANTEA Gene, Which Possibly Involved in Inflorescence Initiation at Low Temperatures

  • Luo, Xiaoyan;Zhang, Chi;Sun, Xiaoming;Qin, Qiaoping;Zhou, Mingbin;Paek, Kee-Yoeup;Cui, Yongyi
    • Horticultural Science & Technology
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    • v.29 no.2
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    • pp.135-143
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    • 2011
  • In the Doritaenopsis hybrid, like most of the orchid species and hybrids, temperature is crucial for the vegetative-to-reproductive transition, and low temperature is required for bud differentiation. To understand the molecular mechanism of this process, an orchid GIGANTEA (GI) gene, DhGI1, was isolated and characterized by using the rapid amplification of cDNA ends (RACE) PCR technique. Sequence analysis showed that the full-length cDNA is 4,022 bp with a major open reading frame of 3,483 bp, and the amino acid sequence showed high similarity to GI proteins in Zea mays, Oryza sativa, Arabidopsis thaliana and other plants. Semi-quantitative RT-PCR revealed that DhGI1 was expressed throughout development and could be detected in roots, stems, leaves, peduncles and flower buds. The expression level of DhGI1 was higher when the plants were flowering at low temperature (22/$18^{\circ}C$ day/night) than the other growth stages. Further analysis indicated that the accumulation of DhGI1 transcripts was significantly increased at low temperature, and concomitantly, initiation of the peduncle was observed. However, DhGI1 levels were low under high temperature (30/$25^{\circ}C$) conditions, and flower initiation was inhibited. These results indicate that the expression of DhGI1 is regulated by low temperature and that DhGI1 may play an important role in inflorescence initiation in this Doritaenopsis hybrid at low temperatures.

Relationships of El Ni o and La Ni a with both Temperature and Precipitation in South Korea (엘니뇨 및 라니냐와 한국의 기온 및 강수량 관계)

  • Lee, Dong-Ryul
    • Journal of Korea Water Resources Association
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    • v.31 no.6
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    • pp.807-819
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    • 1998
  • The relationships of El Nino and La Nina with both temperature and precipitation in South Korea is studied. Monthly temperature and precipitation are analyzed using harmonic analysis to identify region, magnitude and season that have responses associated with El Nino and La Nina. The first harmonic is extracted from a 24 month El Nino and La Nina composite at each station. The regions are identified by the similarity in the phase of the harmonic vectors. The responses of precipitation to El Nino and La Nina are found in the all regions. However, the response of precipitation to El Nino and La Nina is identified only in the southern region. In addition, statistical significance for response periods is investigated through cross correlation analysis. Once an El Nino and a La Nina event set in, the results of this analysis can provide an efficient information for the management of water resources, agriculture and environment.

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Mobile Device User Trajectory Analysis and Route Recommendation Method based on Intersection Region Indexing (교차점 기반 구역 인덱싱을 이용한 모바일 장치 사용자 이동 궤적 분석 및 경로 추천 방법)

  • Kwak, Kwangjin;Kim, Jeongjoon
    • The Journal of the Convergence on Culture Technology
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    • v.1 no.1
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    • pp.79-85
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    • 2015
  • According to the growing use of the personal GPS in the mobile device recently, the LBS (Local bases service), which processes and refines the GPS information, such as a position-tracking service, a public safety service, a local based information service, has increased steadily. Due to the refraction or reflection of GPS, however, it is impossible to use GPS around or in buildings. Therefore, it is necessary to correct the errors of GPS. We propose the method which corrects the errors of GPS and creates the refined trajectory using intersection region indexing. After analyzing the trajectory, receiving trajectories from many people and identifying the similarity between of trajectories, we will recommend the favorite route and useful information such as restaurant, convenience store, bus station and emergency call service.

An Algorithm of Identifying Roaming Pedestrians' Trajectories using LiDAR Sensor (LiDAR 센서를 활용한 배회 동선 검출 알고리즘 개발)

  • Jeong, Eunbi;You, So-Young
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.16 no.6
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    • pp.1-15
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    • 2017
  • Recently terrorism targets unspecified masses and causes massive destruction, which is so-called Super Terrorism. Many countries have tried hard to protect their citizens with various preparation and safety net. With inexpensive and advanced technologies of sensors, the surveillance systems have been paid attention, but few studies associated with the classification of the pedestrians' trajectories and the difference among themselves have attempted. Therefore, we collected individual trajectories at Samseoung Station using an analytical solution (system) of pedestrian trajectory by LiDAR sensor. Based on the collected trajectory data, a comprehensive framework of classifying the types of pedestrians' trajectories has been developed with data normalization and "trajectory association rule-based algorithm." As a result, trajectories with low similarity within the very same cluster is possibly detected.

Regionalized Regression Model for Monthly Streamflow in Korean Watersheds (韓國河川의 月 流出量 推定을 위한 地域化 回歸模型)

  • Kim, Tai-Cheol;Park, Sung-Woo
    • Magazine of the Korean Society of Agricultural Engineers
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    • v.26 no.2
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    • pp.106-124
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    • 1984
  • Monthly streanflow of watersheds is one of the most important elements for the planning, design, and management of water resources development projects, e.g., determination of storage requirement of reservoirs and control of release-water in lowflow rivers. Modeling of longterm runoff is theoretically based on water-balance analysis for a certain time interval. The effect of the casual factors of rainfall, evaporation, and soil-moisture storage on streamflow might be explained by multiple regression analysis. Using the basic concepts of water-balance and regression analysis, it was possible to develop a generalized model called the Regionalized Regression Model for Monthly Streamflow in Korean Watersheds. Based on model verification, it is felt that the model can be reliably applied to any proposed station in Korean watersheds to estimate monthly streamflow for the planning, design, and management of water resources development projects, especially those involving irrigation. Modeling processes and properties are summarized as follows; 1. From a simplified equation of water-balance on a watershed a regression model for monthly streamflow using the variables of rainfall, pan evaporation, and previous-month streamflow was formulated. 2. The hydrologic response of a watershed was represented lumpedly, qualitatively, and deductively using the regression coefficients of the water-balance regression model. 3. Regionalization was carried out to classify 33 watersheds on the basis of similarity through cluster analysis and resulted in 4 regional groups. 4. Prediction equations for the regional coefficients were derived from the stepwise regression analysis of watershed characteristics. It was also possible to explain geographic influences on streamflow through those prediction equations. 5. A model requiring the simple input of the data for rainfall, pan evaporation, and geographic factors was developed to estimate monthly streamflow at ungaged stations. The results of evaluating the performance of the model generally satisfactory.

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Genetic Diversity of Sweet potato feathery mottle virus from Sweet Potatoes in Korea

  • Kwak, Hae-Ryun;Kim, Mi-Kyeong;Jung, Mi-Nam;Lee, Su-Heon;Park, Jin-Woo;Kim, Kook-Hyung;Ko, Sug-Ju;Choi, Hong-Soo
    • The Plant Pathology Journal
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    • v.23 no.1
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    • pp.13-21
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    • 2007
  • Sweet potato feathery mottle virus(SPFMV) is one of the most prevalent viruses infecting sweet potatoes and occurs widely in sweet potato cultivating areas in Korea. To assess their genetic variation, a total of 28 samples infected with SPFMV were subjected to restriction fragment length polymorphism(RFLP) analysis using DNAs amplified by RT-PCR with specific primer sets corresponding to the coat protein(CP) region of the virus. The similarity matrix by UPGMA procedure indicated that 28 samples infected with SPFMV were classified into three groups based on the number and size of DNA fragments by digestion of CP-encoding regions with 7 enzymes including SalI, AluI, EcoRI, HindIII, FokI, Sau3AI, and DraI bands. Four primer combinations out of 5 designed sets were able to differentiate SPFMV and sweet potato virus G infection, suggesting that these specific primers could be used to differentiate inter-groups of SPFMV. Sequence analysis of the CP genes of 17 SPFMV samples were 97-99% and 91-93% identical at the intra-group and inter-groups of SPFMV, respectively. The N-terminal region of the CP is highly variable and examination of the multiple alignments of amino acid sequences revealed two residues(residues 31 and 32) that were consistently different between SPFMV-O and SPFMV-RC.