• Asian-Australasian Journal of Animal Sciences
• /
• v.18 no.10
• /
• pp.1368-1374
• /
• 2005

To investigate the genetic relationships among various cattle breeds, bovine mtDNA D-loop region was used in 411 animals of 18 cattle breeds, including 8 Asian Bos taurus, 7 European Bos taurus, 1 Asian Bos indicus, and 2 African Bos indicus. The size of amplified PCR products from mtDNA D-loop region was 964 bp and the products were digested by 15 different restriction enzymes. Two different band patterns were identified in eight restriction enzymes (BstXI, Hae III, Msp I, Apa I, Taq I, Alu I, BamH I, EcoN I) and the rest of restriction enzymes showed more than 3 different band patterns among which Apo I and MspR9 resulted in 7 different restriction patterns. The genotypes, number of haplotype, effective number of haplotype, and degree of heterozygosity were analyzed. Based on all the PCR-RFLP data, different haplotypes were constructed and analyzed for calculating genetic distances between these breeds using Nei's unbiased method and constructing a phylogenetic tree.

• Microbiology and Biotechnology Letters
• /
• v.39 no.4
• /
• pp.317-323
• /
• 2011

Strain A-3, an amylase-producing bacteria, was isolated from coastal seawater near Daecheon in the Republic of Korea. It was seen to possess a single polar flagella and grow well, on ASW-YP agar plates, at temperatures of between $20-37^{\circ}C$. However, it grew more slowly at the temperatures of $15^{\circ}C$ and $40^{\circ}C$. Similarly, it was observed to grow abundantly, in an Artificial Sea Water-Yeast extract-Peptone (ASW-YP) liquid medium, in a pH range of 6-9, but not grow at pHs of 4-5 and a pH of 10. Strain A-3 was noted as being close to Pseudoalteromonas phenolica O-$BC30^T$, Pseudoalteromonas luteoviolacea $NCIMB1893^T$, Pseudoalteromonas rubra $ATCC29570^T$, and Pseudoalteromonas byunsanensis $FR1199^T$, with 98.30%, 97.86%, 97.78%, and 97.25% similarities respectively, in its 16S rRNA sequence. A phylogenetic tree revealed that strain A-3 and P. phenolica O-$BC30^T$ belong to a clade. However, strain A-3 differed from P. phenolica O-$BC30^T$ in relation to a number of physiological characteristics. Strain A-3 exhibited no growth above 5% NaCl concentrations, no utilization of D-glucose, D-mannose, D-maltose, or D-melibose, and no lipase (C-14) activity. All of these properties strongly indicate that strain A-3 is distant from P. phenolica O-$BC30^T$ and thus led us to name it Pseudoalteromonas sp. A-3. Pseudoalteromonas sp. A-3 produces ${\alpha}$-amylase throughout growth. Maximal amylase activities of 144.48 U/mL and 149.20 U/mL were seen at pH 7.0 and $37^{\circ}C$, respectively. Pseudoalteromonas sp. A-3's high, stable production of ${\alpha}$-amylase in addition to its biochemical features, such as alkalitolerance, suggest that it is a good candidate for industrial applications.

• Journal of the Institute of Electronics Engineers of Korea SD
• /
• v.39 no.3
• /
• pp.61-72
• /
• 2002

In this paper, we propose two timing-driven routing algorithms for single-source net and multi-source net as applications of 1-Steiner heuristic algorithm. Using the method of substituting the cost of 1-Steiner heuristic algorithms with interconnection delay, our routing algorithms can route both single-source net and multi-source net which have all critical source-terminal pairs or one critical pair efficiently Our single-source net routing algorithm reduced the average maximum interconnection delay by up to 2.1% as compared with previous single-source routing algorithm, SERT, and 10.6% as compared with SERT-C. and Our multi-source net routing algorithm increased the average maximum interconnection delay by up to 2.7% as compared with MCMD A-tree, but outperforms it by up to average 1.4% when the signal net has only subset of critical node pairs.

• Journal of Cadastre & Land InformatiX
• /
• v.46 no.2
• /
• pp.27-42
• /
• 2016

Forest accounts for almost 64 percents of total land cover in South Korea. For inventorying, monitoring, and managing such large area of forest, application of remote sensing and geographic information system (RS/GIS) technology is essential. On the basis of spectral characteristics of satellite imagery, forest cover and tree species can be classified, and forest cover map can be prepared. Using three dimensional data of LiDAR(Light Detection and Ranging), tree location and tree height can be measured, and biomass and carbon stocks can be also estimated. In addition, many indices can be extracted using reflection characteristics of land cover. For example, the level of vegetation vitality and forest degradation can be analyzed with VI (vegetation Index) and TGSI (Top Grain Soil Index), respectively. Also, pine wilt disease and o ak w ilt d isease c an b e e arly detected and controled through understanding of change in vegetation indices. RS and GIS take an important role in assessing carbon storage in climate change related projects such as A/R CDM, REDD+ as well. In the field of climate change adaptation, impact and vulnerability can be spatio-temporally assessed for national and local level with the help of spatio-temporal data of GIS. Forest growth, tree mortality, land slide, forest fire can be spatio-temporally estimated using the models in which spatio-temporal data of GIS are added as influence variables.

• Korean Journal of Environmental Biology
• /
• v.28 no.4
• /
• pp.223-230
• /
• 2010

To investigate the variations of physico-chemical factors in four stations (Hanlim, Aewol, Sinchon, Hamdeok) at Jeju coastal area, Water temperature, Salinity, dissolved oxygen (DO), pH, chemical oxygen demand (COD), suspended solid (SS), ammonia-nitrogen ($NH_4-N$), nitrite-nitrogen ($NO_3-N$), nitrate-nitrogen ($NO_2-N$) were analysed. The ranges of water temperature were from 26.23 to $28.6^{\circ}C$, the salinity were from 31.4 to 32.88‰, the pH were from 8.15 to 8.35, the chemical oxygen were from 0.48 to 0.91 mg $L^{-1}$. A total of 52 strains of marine actinomycetes was isolated from Jeju Island coastal area. They were characterized by determining morphological and physio-biochemical properties, the API kit and confirmed by molecular methods including partial sequencing of 16S rRNA. A neighbor-joining tree of partial 16S rRNA sequences divided the 52 isolates in 2 major groups, 22 strains of Gram positive bacteria/Actinobacteria (division)/Actinomycetales (order)/Streptomycineae (suborder)/Streptomycetaceae (family)/Streptomyces (93.1%) and 2 strains of Streptospotangineae (suborder)/Nocardiopsaceae (family)/Nocardiopsis (6.9%).

• Journal of Korean Society of Forest Science
• /
• v.83 no.2
• /
• pp.221-228
• /
• 1994

Respitation and growth rates of leaves, branches, stems and roots of 2 to 11-yr-old red pine trees(Pinus densiflora) were examined and applied to Thornley's growth equation, $$R=(\frac{1-Yg}{Yg})\frac{dW}{dt}+mW$$. The conversion efficiency of substrates(Yg), maintenance respiration coefficients(m), relative growth rates(${\mu}$) were estimated. The efficiency of conversion of substrates (Yg) was 0.3637g/g dw/yr and the maintenance respiration coefficient(m0 was 0.094g/g dw/yr. The relative growth rate(${\mu}$) was remarkably reduced with age from 0.90(2-year-old) to 0.33:11 year-old). The Ratio of gross respiration(R) per gross photosynthesis(Pg), R/Pg showed the range of 0.6~0.7 and annually 64% of Pg was spent for constructive respiration. The 3.4% of dry weight of whole tree was spent for maintenance respiration.

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

• The Korean Journal of Mycology
• /
• v.26 no.3 s.86
• /
• pp.396-398
• /
• 1998

This study was carried out to obtain the basic data for artificial production of Polyporus umbellatus. Among logs consisted of 16 tree species, the log of Stylax japonica inoculated with Polyporus umbellatus not only produced compact sclerotia of $3{\sim}5\;mm$ in their diameters but resulted in the good mycelial density. Also, the sclerotia were observed on 6 different kinds of logs inoculated with Polyporus umbellatus.

• Asian-Australasian Journal of Animal Sciences
• /
• v.32 no.11
• /
• pp.1715-1724
• /
• 2019

Objective: As laying hens become aged, laying performance and egg quality are generally impaired. One of the practical methods to rejuvenate production and egg quality of aged laying hens with decreasing productivity is a forced molting. However, the changes in intestinal microbiota after forced molting of aged hens are not clearly known. The aim of the present study was to analyze the changes in excreta bacterial communities after forced molting of aged laying hens. Methods: A total of one hundred 66-wk-old Hy-Line Brown laying hens were induced to molt by a 2-d water removal and an 11-d fasting until egg production completely ceased. The excreta samples of 16 hens with similar body weight were collected before and immediately after molting. Excreta bacterial communities were analyzed by high-throughput sequencing of bacterial 16S rRNA genes. Results: Bacteroidetes, Firmicutes, and Proteobacteria were the three major bacterial phyla in pre-molting and immediate post-molting hens, accounting for more than 98.0%. Lactobacillus genus had relatively high abundance in both group, but decreased by molting (62.3% in premolting and 24.9% in post-molting hens). Moreover, pathogenic bacteria such as Enterococcus cecorum and Escherichia coli were more abundant in immediate post-molting hens than in pre-molting hens. Forced molting influenced the alpha diversity, with higher Chao1 (p = 0.012), phylogenetic diversity whole tree (p = 0.014), observed operational taxonomic unit indices (p = 0.006), and Simpson indices (p<0.001), which indicated that forced molting increased excreta bacterial richness of aged laying hens. Conclusion: This study improves the current knowledge of bacterial community alterations in the excreta by forced molting in aged laying hens, which can provide increasing opportunity to develop novel dietary and management skills for improving the gastrointestinal health of aged laying hens after molting.

• ETRI Journal
• /
• v.41 no.3
• /
• pp.358-370
• /
• 2019

The main aim of this study is to select the optimal set of genes from microarray cancer datasets that contribute to the prediction of specific cancer types. This study proposes the enhancement of the feature selection filter algorithm based on Joe's normalized mutual information and its use for gene selection. The proposed algorithm is implemented and evaluated on seven benchmark microarray cancer datasets, namely, central nervous system, leukemia (binary), leukemia (3 class), leukemia (4 class), lymphoma, mixed lineage leukemia, and small round blue cell tumor, using five well-known classifiers, including the naive Bayes, radial basis function network, instance-based classifier, decision-based table, and decision tree. An average increase in the prediction accuracy of 5.1% is observed on all seven datasets averaged over all five classifiers. The average reduction in training time is 2.86 seconds. The performance of the proposed method is also compared with those of three other popular mutual information-based feature selection filters, namely, information gain, gain ratio, and symmetric uncertainty. The results are impressive when all five classifiers are used on all the datasets.