• Title/Summary/Keyword: genetic variability

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Sero-epidemiology and genetic characterization of swine influenza virus (돼지 인플루엔자 바이러스의 혈청학적 역학조사 및 유전학적 분석)

  • Lyoo, Young-soo;Kim, Lomi
    • Korean Journal of Veterinary Research
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    • v.38 no.1
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    • pp.53-63
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    • 1998
  • Total of 1085 swine sera (1996-1997) from nation-wide were tested for the presence of antibodies to influenza A virus. Fifty nine percent of the tested sera showed seropositive by HI test. Positive sera consisted of 24--- of H3, 15--- of H1, and 20--- of the sample had both antibodies, respectively. Sera collected from various region represented 7~27--- seropositivity to H1N1, 15~25--- to H3N2, respectively. Swine influenza field isolate from nasal swab was characterized antigenically and genetically to elucidate its relatedness with other known strains of influenza A virus. The study was focused on the HA gene which is related to pathogenecity and antigenic variability of the influenza virus. By RT-PCR using influenza A/H1N1 specific primers, influenza virus H1N1 specific DNA fragment was amplified from A/Swine/Iowa/15/30(H1N1), US field isolate but not in H3N2 strain. PCR products were sequenced by dideoxy chain termination method to determine nucleotide homology with other strains of influenza A virus. The US field isolate and A/Swine/Indiana/1726/88 strain had 97--- of nucleotide homology and 98--- of amino acid homology. Based on the results obtained from this experiment, the field isolate was genetically related to A/Swine/Indiana/1726/88 and had higher homology with A/Swine/Indiana/1726/88 than with classical swine influenza virus, A/Swine/Iowa/15/30. The field isolate had no amino acid changes at the antigenic site compare to that of the A/Swine/Indiana/1726/88. The proteolytic enzyme cleavage site between HA1 and HA2 had no alteration and the amino acid arginine was intact. There is no evidence has been found that the field isolate has genetic shift or genetic drift which might altered antigenic determinant.

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Analysis of Molecular Variance and Population Structure of Sesame (Sesamum indicum L.) Genotypes Using Simple Sequence Repeat Markers

  • Asekova, Sovetgul;Kulkarni, Krishnanand P.;Oh, Ki Won;Lee, Myung-Hee;Oh, Eunyoung;Kim, Jung-In;Yeo, Un-Sang;Pae, Suk-Bok;Ha, Tae Joung;Kim, Sung Up
    • Plant Breeding and Biotechnology
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    • v.6 no.4
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    • pp.321-336
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    • 2018
  • Sesame (Sesamum indicum L.) is an important oilseed crop grown in tropical and subtropical areas. The objective of this study was to investigate the genetic relationships among 129 sesame landraces and cultivars using simple sequence repeat (SSR) markers. Out of 70 SSRs, 23 were found to be informative and produced 157 alleles. The number of alleles per locus ranged from 3 - 14, whereas polymorphic information content ranged from 0.33 - 0.86. A distance-based phylogenetic analysis revealed two major and six minor clusters. The population structure analysis using a Bayesian model-based program in STRUCTURE 2.3.4 divided 129 sesame accessions into three major populations (K = 3). Based on pairwise comparison estimates, Pop1 was observed to be genetically close to Pop2 with $F_{ST}$ value of 0.15, while Pop2 and Pop3 were genetically closest with $F_{ST}$ value of 0.08. Analysis of molecular variance revealed a high percentage of variability among individuals within populations (85.84%) than among the populations (14.16%). Similarly, a high variance was observed among the individuals within the country of origins (90.45%) than between the countries of origins. The grouping of genotypes in clusters was not related to their geographic origin indicating considerable gene flow among sesame genotypes across the selected geographic regions. The SSR markers used in the present study were able to distinguish closely linked sesame genotypes, thereby showing their usefulness in assessing the potentially important source of genetic variation. These markers can be used for future sesame varietal classification, conservation, and other breeding purposes.

OPTIMIZING QUALITY AND COST OF METAL CURTAIN WALL USING MULTI-OBJECTIVE GENETIC ALGORITHM AND QUALITY FUNCTION DEPLOYMENT

  • Tae-Kyung Lim;Chang-Baek Son;Jae-Jin Son;Dong-Eun Lee
    • International conference on construction engineering and project management
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    • 2009.05a
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    • pp.409-416
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    • 2009
  • This paper presents a tool called Quality-Cost optimization system (QCOS), which integrates Multi-Objective Genetic Algorithm (MOGA) and Quality Function Deployment (QFD), for tradeoff between quality and cost of the unitized metal curtain-wall unit. A construction owner as the external customer pursues to maximize the quality of the curtain-wall unit. However, the contractor as the internal customer pursues to minimize the cost involved in designing, manufacturing and installing the curtain-wall unit. It is crucial for project manager to find the tradeoff point which satisfies the conflicting interests pursued by the both parties. The system would be beneficial to establish a quality plan satisfying the both parties. Survey questionnaires were administered to the construction owner who has an experience of curtain-wall project, the architects who are the independent assessor, and the contractors who were involved in curtain-wall design and installation. The Customer Requirements (CRs) and their importance weights, the relationship between CRs and Technical Attributes (TAs) consisting of a curtain-wall unit, and the cost ratios of each components consisting curtain-wall unit are obtained from the three groups mentioned previously. The data obtained from the surveys were used as the QFD input to compute the Owner Satisfaction (OS) and Contractor Satisfaction (CS). MOGA is applied to optimize resource allocation under limited budget when multi-objectives, OS and CS, are pursued at the same time. The deterministic multi-objective optimization method using MOGA and QFD is extended to stochastic model to better deal with the uncertainties of QFD input and the variability of QFD output. A case study demonstrates the system and verifies the system conformance.

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Morphological characters, Total phenolic content, and Fatty Acid Compositions of Safflower (Carthamus tinctorius) Genetic Resources

  • Awraris Derbie Assefa;Young Jee Kim;Ae-Jin Hwang;Bich-Saem Kim;Jae-Eun Lee
    • Proceedings of the Plant Resources Society of Korea Conference
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    • 2020.08a
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    • pp.94-94
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    • 2020
  • Safflower, a draught and salt tolerant oil seed crop of Compositae family, has been cultivated around the world mainly as source of edible oils and dyes, where India, the USA, Mexico, Australia, and Ethiopia contributing about 85% of the production altogether. In this study we have characterized some selected morphological properties of safflower plant and determined the the total phenolic content (TPC) and fatty acid composition in seeds of 237 genetic resources. All the seed coats were white colored while the petals had red, yellow and white pigments. The yellow was the predominant petal color being recorded in 182 accessions followed by red occurring in 49 accessions. The petal color of 47 of the accessions changed with development while the 190 accession showed no change of color. The leaves are ovate to obovate, mostly with dentate (21 moderate and 205 weak) and few smooth (11) margins. The plant length, leaf length, and leaf width were ranged between 65.7 and 160.8 cm, 14.3 and 37.0 cm, and 3.3 and 12.1 cm, respectively. The TPC was determined using Folin-Ciocalteu method and fatty acid compositions were evaluated using gas chromatography. The TPC content ranged from 23.71 to 132.72 µgGAE/mg dried extract (DE). The seeds of safflower genetic resources accounted an average crude fat content of 26.25% (14.84 to 41.70%). The total fatty acid is mainly comprised of 71.72% linoleic acid (18:2) and 20.08% oleic acid (18:1) on average, the remaining palmitic acid (16:0), stearic acid (18:0) and linolenic acid (18:3) contributing 5.84, 2.23 and 0.15 %, respectively. The fatty acid composition of safflower seeds has shown great variability, where oleic and linoleic acid have a wide range of variation, from 9.23 to 83.35% and from 10.46 to 82.62%, respectively

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Dexamethasone-induced muscle atrophy and bone loss in six genetically diverse collaborative cross founder strains demonstrates phenotypic variability by Rg3 treatment

  • Bao Ngoc Nguyen;Soyeon Hong;Sowoon Choi;Choong-Gu Lee;GyHye Yoo;Myungsuk Kim
    • Journal of Ginseng Research
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    • v.48 no.3
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    • pp.310-322
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    • 2024
  • Background: Osteosarcopenia is a common condition characterized by the loss of both bone and muscle mass, which can lead to an increased risk of fractures and disability in older adults. The study aimed to elucidate the response of various mouse strains to treatment with Rg3, one of the leading ginsenosides, on musculoskeletal traits and immune function, and their correlation. Methods: Six Collaborative Cross (CC) founder strains induced muscle atrophy and bone loss with dexamethasone (15 mg/kg) treatment for 1 month, and half of the mice for each strain were orally administered Rg3 (20 mg/kg). Different responses were observed depending on genetic background and Rg3 treatment. Results: Rg3 significantly increased grip strength, running performance, and expression of muscle and bone health-related genes in a two-way analysis of variance considering the genetic backgrounds and Rg3 treatment. Significant improvements in grip strength, running performance, bone area, and muscle mass, and the increased gene expression were observed in specific strains of PWK/PhJ. For traits related to muscle, bone, and immune functions, significant correlations between traits were confirmed following Rg3 administration compared with control mice. The phenotyping analysis was compiled into a public web resource called Rg3-OsteoSarco. Conclusion: This highlights the complex interplay between genetic determinants, pathogenesis of muscle atrophy and bone loss, and phytochemical bioactivity and the need to move away from single inbred mouse models to improve their translatability to genetically diverse humans. Rg3-OsteoSarco highlights the use of CC founder strains as a valuable tool in the field of personalized nutrition.

Genetic Variabilities and Path-Coefficients for Agronomic Characters in $F_2$ Populations of Wheat (소맥(小麥)의 $F_2$집단(集團)에 있어서 주요(主要) 농업적(農業的) 질량(形質)의 유전변이(遺傳變異) 및 경로계수분석(徑路係數分析))

  • Park, Chang Kie;Kim, Yang Choon
    • Current Research on Agriculture and Life Sciences
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    • v.1
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    • pp.27-34
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    • 1983
  • This study was conducted to obtain the basic informations on the selection for the early and high-yielding lines in $F_2$ populations of wheat. Two combinations such as Olmil-Saemil cross and Naphal-Cheonggemil cross and their eight populations were used and genetic parameters of genetic variances and path-coefficients for agronomic traits mainly in $F_2$ populations were analyzed. Genetic coefficient of variability in Olmil-Saemil cross was higher in harvest index, grain number, grain yield and plant height in decreasing order, but in Naphal-Cheonggemil cross harvest index, plant height, and 1,000-grain weight were higher in order. Heading and maturing dates, plant height, and harvest index showed high hertability (0.525-0.808) in both crosses, but very low heritabilities were observed in grain numbers per panicle and yield. In both crosses, genetic advances(%) was higher in heading and maturing stage, but lowest in yield. High genetic advance was obtained in 1,000-grain weight of Naphal-Cheonggemil cross. The highly significant correlations between yield and panicle number, yield and grain number per panicle were obtained, and the highest direct effect on yield was obtained in panicle number followed by grain number per panicle number.

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Assessment of Genetic Diversity and Relationships Between Korean Cattle and Other Cattle Breeds by Microsatellite loci (Microsatellite loci 분석에 의한 한우와 타 품종간의 유전적 유연관계)

  • Yoon, D.H.;Park, E.W.;Lee, S.H.;Lee, H.K.;Oh, S.J.;Cheong, I.C.;Hong, K.C.
    • Journal of Animal Science and Technology
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    • v.47 no.3
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    • pp.341-354
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    • 2005
  • For the genetic assessment of the cattle breeds including Hanwoo, eleven microsatellite markers on ten bovine autosomes were genetically characterized for 618 individuals of nineteen cattle breeds; North Eastern Asian breeds (Korean cattle, Korean Black cattle, Japanese Black cattle, Japanese Brown cattle, Yanbian cattle), Chinese yellow cattle (Luxi cattle, Nanyang cattle), European Bas taurus (Angus, Hereford, Charolais, Holstein, Limousin), African Bas taurus (N'Dama, Baoule), African Bas indicus (Kavirondo Zebu, White Fulani), Asian Bas indicus (Sahiwal, Nelore) and one Bali cattle, Bas banteng as an outbreed-reference population. Allele frequencies derived from the genotyping data were used in estimating heterozygosities, gene diversities and genetic distances. The microsatellite loci were highly polymorphic, with a total of 162 different alleles observed across all loci. Variability in allele numbers and frequencies was observed among the breeds. The average expected heterozygosity of North Eastern Asian breeds was higher than those of European and African taurines, but lower than those of Asian and African indicines. Genetic distances were estimated using Nei's DA genetic distance and the resultant DA matrix was used in the construction of the phylogenetic trees. The genetic distances between North Eastern Asian cattle breeds and Bas indicus were similar with those between European Bas taurus and Bas indicus, and African Bas taurus and Bas indicus, respectively. The clusters were clearly classified into North Eastern Asian, European and African taurines groups as well as different cluster with Chinese mainland breeds, firstly out-grouping with Bas indicus. These results suggest that Korean cattle, Hanwoo, had not been originated from a crossbred between Bas primigenius in Europe and Bas indicus in India and North Eastern Asian Bas taurus may be have separate domestication from European and African Bas taurus.

Analysis of Antigenic and Genetic Variability of G-protein of Respiratory Syncytial Virus Subgroup A Isolated in Korea over 8 Years(1990~1998) (국내에서 분리된 Respiratory Syncytial Virus A 아군의 항원성의 변이와 G-단백 mRNA의 RT-PCR 생산물의 제한효소 처리 및 염기 서열 결정을 통한 유전자 변이의 분석)

  • Choi, Eun Hwa;Park, Ki Ho;Lee, Hoan Jong
    • Pediatric Infection and Vaccine
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    • v.6 no.2
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    • pp.219-233
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    • 1999
  • Purpose : Respiratory syncytial virus(RSV) is the major cause of lower respiratory tract infection in infants and young children. This study was performed to analyze antigenic and genetic variation of G protein of subgroup A RSV. Methods : One hundred seventy-nine strains isolated at the Seoul National University Children's Hospital over 8 years-period from 1990 through 1998 were analysed for antigenic and genetic variability. Analysis was made by reactivity with monoclonal antibodies raised against RSV, and by restriction mapping and, for selected strains, nucleotide sequencing following amplification of full sequence of G gene by reverse transcription-polymerase chain reaction. Results : Restriction fragment analysis of the amplified G protein gene revealed 23 restriction patterns, 12 of which included more than 2 isolate, and the most frequent genetic type comprised 30% of the strains. Indirect immunofluorescent staining with monoclonal antibodies revealed 6 antigenic types with one predominant pattern accounting for 91% of the total strains. The most frequent antigenic type had 21 restriction patterns, and some viruses with same restiction pattern had different monoclonal antibody reaction pattern. Nucleotide sequence homology of subgroup A was 91~93% between reference(A2, Long) and Korean isolates, 93~99% among Korean isolates. Maximum-parsimony analysis demonstrated that Korean isolates were distinct from reference strains and subgroup A strains were clustered in 4 groups. Conclusion : The restriction analysis pattern of G protein gene identified greater diversity within subgroup A than was seen with the monoclonal analysis and a variety of antigenic and genetic types of RSV are circulating in Korea which are different from reference strains or strains isolated from other countries.

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A Turbidimetric Determination of Protein by Trichloroacetic Acid

  • Choi, Wahn-Soo;Chung, Kae-Jong;Chang, Man-Sik;Chun, Jae-Kwang;Lee, Hyang-Woo;Hong, Sung-Youl
    • Archives of Pharmacal Research
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    • v.16 no.1
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    • pp.57-61
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    • 1993
  • Based on the turbidimetric response of protein with 50% trichloroacetic acid (TCA), this study aims to introduce an assay method for protein in solution. The standard procedure consists of mixing equal volume of sample solution (standard or unknown) with 50%-TCA solution and measuring the absorbance at 450 nm after 20 min. The absorbances of the solutions were almost stable over 120 min at room temperature. This assy method is simple, reproducible, and tolerant to many interfering substances. It can detect less amount than $10\mu$g/ml of bovin serum albumin. The assay method has low protein-to-protein variability over wide range of molecular weight.

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Single-Kernel Corn Analysis by Hyperspectral Imaging

  • Cogdill, R.P.;Hurburgh Jr., C.R.;Jensen, T.C.;Jones, R.W.
    • Proceedings of the Korean Society of Near Infrared Spectroscopy Conference
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    • 2001.06a
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    • pp.1521-1521
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    • 2001
  • The objective of the research being presented was to construct and calibrate a spectrometer for the analysis of single kernels of corn. In light of the difficulties associated with capturing the spatial variability in composition of corn kernels by single-beam spectrometry, a hyperspectral imaging spectrometer was constructed with the intention that it would be used to analyze single kernels of corn for the prediction of moisture and oil content. The spectrometer operated in the range of 750- 1090 nanometers. After evaluating four methods of standardizing the output from the spectrometer, calibrations were made to predict whole-kernel moisture and oil content from the hyperspectral image data. A genetic algorithm was employed to reduce the number of wavelengths imaged and to optimize the calibrations. The final standard errors of prediction during cross-validation (SEPCV) were 1.22% and 1.25% for moisture and oil content, respectively. It was determined, by analysis of variance, that the accuracy and precision of single-kernel corn analysis by hyperspectral imaging is superior to the single kernel reference chemistry method (as tested).

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