• Journal of Veterinary Science
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• v.22 no.2
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• pp.28.1-28.6
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• 2021

An African swine fever (ASF) outbreak in wild boars was first reported on October 2, 2019, in South Korea. Since then, additional cases were reported in South Korea's border areas. We here report the identification of ASF virus (ASFV) DNAs from two out of eight environmental abiotic matter samples collected from areas where ASF-positive wild boar carcasses were found. Comparative genomic investigations suggested that the contaminating ASFV DNAs originated from the wild boar whose carcass had been found near the positive sample sites. This is the first report on the identification of ASF viral material in wild boar habitats.

• Korean Journal of Agricultural Science
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• v.43 no.1
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• pp.1-13
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• 2016

Climate changes are shifting the perception of C4 photosynthetic crops due to their superior adaptability to harsh conditions. The tribe Andropogoneae includes some economically important grasses, such as Zea mays, Sorghum bicolor, Miscanthus spp., and Saccharum spp., representing C4 photosynthetic grasses. Although the Andropogoneae grasses diverged fairly recently, their genomic structures are remarkably different from each other. As previously reported, the family Poaceae shares the pan-cereal duplication event occurring ca. 65 MYA. Since this event, Sorghum bicolor has never experienced any additional duplication event. However, some lineage-specific duplication events were reported in Z. mays and Saccharum spp., and, more recently, it was revealed that a shared allotetraploidization event occurred before the divergence between Miscanthus and Saccharum (but after the divergence from S. bicolor), which provided important clues to those two species having large genome sizes with complicated ploidy numbers. The complex genomic structures of sugarcane and Miscanthus (defined as the Saccharum complex along with some other taxa) have had a limiting effect on the use of their molecular information in breeding programs. For the last decade, genomics-associated technologies have become an important tool for molecular crop breeding (genomics-assisted breeding, GAB), but it has not been directly applied to sugarcane and Miscanthus due to their complicated genome structures. As genomics research advances, molecular breeding of those crops can take advantage of technical improvements at a reasonable cost through comparative genomic approaches. Active genomic research of non-model species using closely related model species will facilitate the improvement of those crops in the future.

• Asian-Australasian Journal of Animal Sciences
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• v.16 no.8
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• pp.1087-1092
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• 2003

As an experimental reference population, crosses between Korean native pig and Landraces were established and information on growth traits was recorded. Animals were genotyped for 24 microsatellite markers covering chromosomes 2, 6, and 7 for partial-genome scan to identify chromosomal regions that have effects on growth traits. quantitative trait loci (QTL) effects were estimated using interval mapping by the regression method under the line cross models with a test for imprinting effects. For test of presence of QTL, chromosome-wide and single position significance thresholds were estimated by permutation test and normal significance threshold for the imprinting test were derived. For tests against the Mendelian model, additive and dominance coefficients were permuted within individuals. Thresholds (5% chromosome-wide) against the no-QTL model for the analyzed traits ranged from 4.57 to 4.99 for the Mendelian model and from 4.14 to 4.67 for the imprinting model, respectively. Partial-genome scan revealed significant evidence for 4 QTL affecting growth traits, and 2 out of the 4 QTLs were imprinted. This study demonstrated that testing for imprinting should become a standard procedure to unravel the genetic control of multi-factorial traits. The models and tests developed in this study allowed the detection and evaluation of imprinted QTL.

• Genomics & Informatics
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• v.13 no.4
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• pp.146-151
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• 2015

Previous studies in Holstein have shown 35% to 51.8% heritability in milk production traits, such as milk yield, fat, and protein, using pedigree data. Other studies in complex human traits could be captured by common single-nucleotide polymorphisms (SNPs), and their genetic variations, attributed to chromosomes, are in proportion to their length. Using genome-wide estimation and partitioning approaches, we analyzed three quantitative Holstein traits relevant to milk production in Korean Holstein data harvested from 462 individuals genotyped for 54,609 SNPs. For all three traits (milk yield, fat, and protein), we estimated a nominally significant (p = 0.1) proportion of variance explained by all SNPs on the Illumina BovineSNP50 Beadchip ($h^2_G$). These common SNPs explained approximately most of the narrow-sense heritability. Longer genomic regions tended to provide more phenotypic variation information, with a correlation of 0.46~0.53 between the estimate of variance explained by individual chromosomes and their physical length. These results suggested that polygenicity was ubiquitous for Holstein milk production traits. These results will expand our knowledge on recent animal breeding, such as genomic selection in Holstein.

• Journal of Microbiology and Biotechnology
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• v.13 no.2
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• pp.282-286
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• 2003

The purpose of this study was to isolate a specific DNA probe for the strain ATTC 25611 of the species Prevotella intermedia by using a new rapid screening mothod. The whole-genomic DNA of P. intermedia ATCC 25611 was isolated and purified. The HindIII-digested genomic DNAs from the strain were cloned by the random cloning method. To screen the strain-specific DNA probe, inverted dot blot hybridization tests were performed. In this assay, 20 ng of recombinant plasmids containing the HindIII-digested genomic DNA fragment were boiled and blotted onto a nylon membrane, and hybridized with digoxigenin-dUTP labeled genomic DNAs in a concentration of 100 ng/ml. Southern blot analysis was performed in order to confirm the results of the inverted dot blot hybridization tests. The data showed that a Pi34 probe (2.1 kbp; 1 out of 32 probes) was specific for P. intermedia strain ATCC 25611 and could be useful for the detection and identification of the strain, particularly in epidemiological studies of periodontal disease.

• Korean Journal of Agricultural Science
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• v.36 no.2
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• pp.159-165
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• 2009

This study was conducted to identify the PERV (Porcine Endogenous Retrovirus) integration sites and their characterizations using the porcine genomic sequence information. Total 114 Mb (4.2%) sequence of the 2.7 Gb pig genome was investigated for the PERV sequences. As the results, 8 PERV sequences were identified and their genomic structures were deduced from the BLAST searches against previously known PERV genes. Seven PERVs have internal deletions in the protein coding region and they will not be functional. The other one also has internal deletions in the gag and env genes, indicating this PERV is also defective. Even though we could not identify the functional PERVs in this study, the results presented here can be used for the fundamental research materials for controlling PERV infections in relation to xenotransplantation using porcine organs and tissues.

• Molecules and Cells
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• v.24 no.1
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• pp.105-112
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• 2007

Most neuroblastoma cells have chromosomal aberrations such as gains, losses, amplifications and deletions of DNA. Conventional approaches like fluorescence in situ hybridization (FISH) or metaphase comparative genomic hybridization (CGH) can detect chromosomal aberrations, but their resolution is low. In this study we used array-based comparative genomic hybridization to identify the chromosomal aberrations in human neuroblastoma SH-SY5Y cells. The DNA microarray consisting of 4000 bacterial artificial chromosome (BAC) clones was able to detect chromosomal regions with aberrations. The SH-SY5Y cells showed chromosomal gains in 1q12~ q44 (Chr1:142188905-246084832), 7 (over the whole chro-mosome), 2p25.3~p16.3 (Chr2:18179-47899074), and 17q 21.32~q25.3 (Chr17:42153031-78607159), while chromosomal losses detected were the distal deletion of 1p36.33 (Chr1:552910-563807), 14q21.1~q21.3 (Chr14:37666271-47282550), and 22q13.1~q13.2 (Chr22:36885764-4190 7123). Except for the gain in 17q21 and the loss in 1p36, the other regions of gain or loss in SH-SY5Y cells were newly identified.

• Journal of Preventive Medicine and Public Health
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• v.42 no.6
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• pp.371-376
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• 2009

In this article, we reviewed the literature on risk assessment (RA) models with and without molecular genomic markers and the current utility of the markers in the pharmacogenetic field. Epidemiological risk assessment is applied using statistical models and equations established from current scientific knowledge of risk and disease. Several papers have reported that traditional RA tools have significant limitations in decision-making in management strategies for individuals as predictions of diseases and disease progression are inaccurate. Recently, the model added information on the genetic susceptibility factors that are expected to be most responsible for differences in individual risk. On the continuum of health care, from diagnosis to treatment, pharmacogenetics has been developed based on the accumulated knowledge of human genomic variation involving drug distribution and metabolism and the target of action, which has the potential to facilitate personalized medicine that can avoid therapeutic failure and serious side effects. There are many challenges for the applicability of genomic information in a clinical setting. Current uses of genetic markers for managing drug therapy and issues in the development of a valid biomarker in pharmacogenetics are discussed.

• Horticultural Science & Technology
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• v.28 no.5
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• pp.818-827
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• 2010

A full-length cDNA and genomic DNA of a $leucoanthocyanidin$ $dioxygenase$ ($DgLDOX$) gene was isolated from the petals of chrysanthemum 'Argus', and comparative features of the gene among three flower color mutants derived from a gamma-ray mutagenesis were characterized. The cDNA coding region of the gene was 1068 bp and was translated into 356 amino acids accordingly. The genomic DNA size was 1346 bp for 'Argus', while three mutants revealed ranges of 1363 to 1374 bp. A single intron between two coding exons for the $DgLDOX$ gene was found, of which size was 112 bp for 'Argus', but 128 or 137 bp for three flower color mutants, indicating that a genomic insertion in the intron occurred during the gamma-ray mutagenesis. DNA blot analysis revealed the $DgLDOX$ gene presenting as a single copy in the chrysanthemum genome. The $DgLDOX$ gene was expressed in both 'Argus' of light-pink color and two purple color mutants (AM1 and AM3) but had very weak expression in only white color mutant (AM2). The results demonstrated that variations in the flower color of the mutants might be associated with changes in the amino acid moieties in the coding exons or fragment insertions in the intron of the $DgLDOX$ gene, which potentially resulted in less expression of the gene in the white colored mutant.

• International Journal of Contents
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• v.14 no.1
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• pp.34-38
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• 2018

With the rapid growth of genomic data, new requirements have emerged that are difficult to handle with big data storage and analysis techniques. Regardless of the size of an organization performing genomic data analysis, it is becoming increasingly difficult for an institution to build a computing environment for storing and analyzing genomic data. Recently, cloud computing has emerged as a computing environment that meets these new requirements. In this paper, we analyze and compare existing distributed and parallel NGS (Next Generation Sequencing) analysis based on cloud computing environment for future research.