• 제목/요약/키워드: Genetic-analysis

검색결과 5,919건 처리시간 0.039초

Genealogical Relationship between Pedigree and Microsatellite Information and Analysis of Genetic Structure of a Highly Inbred Japanese Black Cattle Strain

  • Sasazaki, S.;Honda, T.;Fukushima, M.;Oyama, K.;Mannen, H.;Mukai, F.;Tsuji, S.
    • Asian-Australasian Journal of Animal Sciences
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    • 제17권10호
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    • pp.1355-1359
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    • 2004
  • Japanese Black cattle of Hyogo prefecture (Tajima strain) are famous for its ability to produce high-quality meat and have been maintained as a closed system for more than 80 years. In order to assess the usefulness of microsatellite markers in closed cattle populations, and evaluate the genetic structure of the Tajima strain, we analyzed representative dams of the Tajima strain comprised of the substrains Nakadoi and Kinosaki. Genetic variability analyses indicated low genetic diversity in the Tajima strain. In addition, a recent genetic bottleneck, which could be accounted for by the high level of inbreeding, was detected in both substrains. In phylogenetic analyses, relationship coefficients and genetic distances between individuals were calculated using pedigree and microsatellite information. Two phylogenetic trees were constructed from microsatellite and pedigree information using the UPGMA method. Both trees illustrated that most individuals were distinguished clearly on the basis of the two substrains, although in the microsatellite tree some individuals appeared in clusters of different substrains. Comparing the two phylogenetic trees revealed good consistency between the microsatellite analysis tree and the pedigree information. The correlation coefficient between genetic distances derived from microsatellite and pedigree information was 0.686 with a high significance level (p<0.001). These results indicated that microsatellite information may provide data substantially equivalent to pedigree information even in unusually inbred herds of cattle, and suggested that microsatellite markers may be useful in revealing genetic structure without accurate or complete pedigree nformation. Japanese Black cattle of Hyogo prefecture (Tajima strain) are famous for its ability to produce high-quality meat and have been maintained as a closed system for more than 80 years. In order to assess the usefulness of microsatellite markers in closed cattle populations, and evaluate the genetic structure of the Tajima strain, we analyzed representative dams of the Tajima strain comprised of the substrains Nakadoi and Kinosaki. Genetic variability analyses indicated low genetic diversity in the Tajima strain. In addition, a recent genetic bottleneck, which could be accounted for by the high level of inbreeding, was detected in both substrains. In phylogenetic analyses, relationship coefficients and genetic distances between individuals were calculated using pedigree and microsatellite information. Two phylogenetic trees were constructed from microsatellite and pedigree information using the UPGMA method. Both trees illustrated that most individuals were distinguished clearly on the basis of the two substrains, although in the microsatellite tree some individuals appeared in clusters of different substrains. Comparing the two phylogenetic trees revealed good consistency between the microsatellite analysis tree and the pedigree information. The correlation coefficient between genetic distances derived from microsatellite and pedigree information was 0.686 with a high significance level (p<0.001). These results indicated that microsatellite information may provide data substantially equivalent to pedigree information even in unusually inbred herds of cattle, and suggested that microsatellite markers may be useful in revealing genetic structure without accurate or complete pedigree information.

Meta-analysis of Association Studies of CYP1A1 Genetic Polymorphisms with Digestive Tract Cancers Susceptibility in Chinese

  • Liu, Chang;Jiang, Zheng;Deng, Qian-xi;Zhao, Ya-nan
    • Asian Pacific Journal of Cancer Prevention
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    • 제15권11호
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    • pp.4689-4695
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    • 2014
  • Background: A great number of studies have shown that cytochrome P450 1A1 (CYP1A1) genetic polymorphisms, CYP1A1 Msp I and CYP1A1 Ile/Val, might be risk factors for digestive tract cancers, including esophageal cancer (EC), gastric cancer (GC), hepatic carcinoma (HC), as well as colorectal cancer (CC), but the results are controversial. In this study, a meta-analysis of this literature aimed to clarify associations of CYP1A1 genetic polymorphisms with digestive tract cancers susceptibility in Chinese populations. Materials and Methods: Eligible case-control studies published until December 2013 were retrieved by systematic literature searches from PubMed, Embase, CBM, CNKI and other Chinese databases by two investigators independently. The associated literature was acquired through deliberate search and selection based on established inclusion criteria. Fixed-effects or random-effects models were used to estimate odds ratios (ORs and 95%CIs). The meta-analysis was conducted using Review Manager 5.2 and Stata 12.0 softwares with stability evaluated by both stratified and sensitivity analyses. Moreover, sensitivity analysis and publication bias diagnostics confirmed the reliability and stability. Results: Eighteen case-control studies with 1,747 cases and 2,923 controls were selected for CYP1A1 MspI polymorphisms, and twenty case-control studies with 3, 790 cases and 4, 907 controls for the CYP1A1 Ile/Val polymorphisms. Correlation associations between CYP1A1 Ile/Val polymorphisms and digestive tract cancers susceptibility were observed in four genetic models in the meta-analysis (GG vs AA:OR= 2.03, 95%CI =1.52- 2.72; AG vs AA: OR=1.26, 95%CI =1.07-1.48; [GG+AG vs AA] :OR =1.42, 95%CI=1.20-1.68, [GG vs AA+AG]:OR=1.80, 95%CI =1.40-2.31). There was no association between CYP1A1 Msp I polymorphisms and digestive tract cancers risk. Subgroup analysis for tumor type showed a significant association of CYP1A1 Ile/Val genetic polymorphisms with EC in China. However, available data collected by the study failed to reveal remarkable associations of GC or HC with CYP1A1 Ile/Val genetic polymorphisms and EC, GC or CC with CYP1A1 MspI genetic polymorphisms. Conclusions: Our results indicated that CYP1A1 Ile/Val genetic polymorphisms, but not CYP1A1 Msp I polymorphisms, are associated with an increased digestive tract cancers risk in Chinese populations. Additional well-designed studies, with larger sample size, focusing on different ethnicities and cancer types are now warranted to validate this finding.

Genetic Analysis of Wheat for Plant Height by RNA-seq Analysis of Wheat Cultivars 'Keumkang' and 'Komac 5'

  • Moon Seok Kim;Jin Seok Yoon;Yong Weon Seo
    • 한국작물학회:학술대회논문집
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    • 한국작물학회 2022년도 추계학술대회
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    • pp.275-275
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    • 2022
  • One of the most widely grown food crops in the world, wheat, is increasing more lodged since for increased rains and winds caused by abnormal climate. During the Green Revolution, shorter wheat cultivars were bred using many Rht genes to increase lodging resistance. However, since only some Rht genes were used for breeding shorter wheat, it may have had a limited impact on wheat breeding and reduced genetic diversity. Therefore, it is essential to search for genes that have breeding potential and affect dwarfism in order to increase the genetic diversity of dwarf characteristics in wheat. In this study, we performed the RNA-seq between 'Keumkang' and 'Komac 5' ('Keumkang' mutant) to analyze the difference in plant height. Differentially expressed genes (DEGs) analysis and Gene function annotation were performed using 265,365,558 mapped reads. Cluster set analysis was performed to compress and select candidate gene DEGs affecting plant height, stem and internode. Gene expression analysis was performed in order to identify the functions of the selected genes by condensing the results of the DEG analysis into a cluster set analysis. This analysis of these plant height-related genes could help reduce plant height, improve lodging resistance, and increase wheat yield. Its application to wheat breeding will also affect the increased genetic diversity of wheat dwarfism.

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Genetic Diversity of Magra Sheep from India Using Microsatellite Analysis

  • Arora, R.;Bhatia, S.
    • Asian-Australasian Journal of Animal Sciences
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    • 제19권7호
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    • pp.938-942
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    • 2006
  • Genetic diversity of Magra - a lustrous carpet wool breed of India, was investigated by means of 25 ovine microsatellite markers proposed by the Food and Agriculture Organization and the International Society for Animal Genetics (FAO-ISAG). All used microsatellites amplified well and exhibited polymorphisms. A wide range of genetic variability was observed as allele number from 3 (BM6506, OarCP20) to 10 (CSSM31), observed heterozygosity from 0.200 (BM6506) to 0.947 (OarHH35), expected heterozygosity from 0.368 (CSSM47) to 0.864 (BM1314) and Polymorphism Information Content (PIC) from 0.347 (CSSM47) to 0.849 (BM1314). This supported the utility of these microsatellite loci in the measurement of genetic diversity indices in Indian sheep too. Various average genetic variability measures viz., allele diversity (5.7), observed heterozygosity (0.597), expected heterozygosity (0.694) and mean PIC (0.648) values showed high genetic variability despite accumulated inbreeding as reflected by the high average inbreeding coefficient ($F_{IS}=0.159$) due to the unequal sex ratio of the breeding animals.

FE model updating based on hybrid genetic algorithm and its verification on numerical bridge model

  • Jung, Dae-Sung;Kim, Chul-Young
    • Structural Engineering and Mechanics
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    • 제32권5호
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    • pp.667-683
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    • 2009
  • FE model-based dynamic analysis has been widely used to predict the dynamic characteristics of civil structures. In a physical point of view, an FE model is unavoidably different from the actual structure as being formulated based on extremely idealized engineering drawings and design data. The conventional model updating methods such as direct method and sensitivity-based parameter estimation are not flexible for model updating of complex and large structures. Thus, it is needed to develop a model updating method applicable to complex structures without restriction. The main objective of this paper is to present the model updating method based on the hybrid genetic algorithm (HGA) by combining the genetic algorithm as global optimization method and modified Nelder-Mead's Simplex method as local optimization method. This FE model updating method using HGA does not need the derivation of derivative function related to parameters and without application of complicated inverse analysis methods. In order to allow its application on diversified and complex structures, a commercial FEA tool is adopted to exploit previously developed element library and analysis algorithms. Moreover, an output-level objective function making use of measurement and analytical results is also presented to update simultaneously the stiffness and mass of the analysis model. The numerical examples demonstrated that the proposed method based on HGA is effective for the updating of the FE model of bridge structures.

유전자 알고리즘을 이용한 가스터빈 엔진의 구성품 성능선도 생성에 관한 연구 (A Study on Component Map Generation of a Gas Turbine Engine Using Genetic Algorithms)

  • 공창덕;고성희
    • 한국추진공학회지
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    • 제8권3호
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    • pp.44-52
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    • 2004
  • 본 연구에서는 실험데이터와 유전자 알고리즘으로 압축기 성능선도를 생성하는 방법을 제안하였다. 다수의 실험을 통해 엔진의 성능 데이터를 획득하고 회전수에 따른 유량함수, 압력비, 효율의 함수관계를 3차 방정식으로 유도한 후 유전자 알고리즘을 이용하여 미계수를 구하여 압축기 성능선도를 생성하였다. 새롭게 생성한 압축기 성능선도를 이용하여 상용 성능해석 프로그램인 GASTURB로 정상상태 성능해석을 수행하여 검증데이터와 비교하였다.

Analysis of Genetic Variability Using RAPD Markers in Paeonia spp. Grown in Korea

  • Lim, Mi Young;Jana, Sonali;Sivanesan, Iyyakkannu;Park, Hyun Rho;Hwang, Ji Hyun;Park, Young Hoon;Jeong, Byoung Ryong
    • 원예과학기술지
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    • 제31권3호
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    • pp.322-327
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    • 2013
  • The genetic diversity and phylogenetic relationships of eleven herbaceous peonies grown in Korea were analyzed by random amplified polymorphic DNA (RAPD). Twenty-four decamer RAPD primers were used in a comparative analysis of these Korean peony species. Of the 142 total RAPD fragments amplified, 124 (87.3%) were found to be polymorphic. The remaining 18 fragments were found to be monomorphic (12.7%) shared by individuals of all 11 peony species. Cluster analysis based on the presence or absence of bands was performed by Jaccard's similarity coefficient, based on Unweighted Pair Group Method with Arithmetic Averages. Genetic similarity range was 0.39 to 0.90 with a mean of 0.64. This study offered a rapid and reliable method for the estimation of variability among different peony species which could be utilized by the breeders for further improvement of the local peony species. Also, the results propose that the RAPD marker technique is a useful tool for evaluation of genetic diversity and relationship amongst different peony species.

Identification of Genetic Markers for Korean Native Cattle (Hanwoo) by RAPD Analysis

  • Yeo Jung Sou;Lee Ji Sun;Lee Chang Hee;Jung Young Ja;Nam Doo Hyun
    • Biotechnology and Bioprocess Engineering:BBE
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    • 제5권1호
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    • pp.23-26
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    • 2000
  • In order to develop the specific genetic marker for Korean native cattle (Hanwoo), randomly amplified polymorphic DNA (RAPD) analysis of 6 different cattle breeds was attempted by using 38 decamer primers. In comparison of RAPD patterns, two distinctive DNA bands specific for Hanwoo were detected. One was 296 bp of DNA fragment found to be specific only for female Hanwoo when primer GTCCACACGG was employed. In individual analysis of this RAPD marker was observed only in female individuals with the possibility of $85.3\%$. The other was 521 bp of RAPD marker amplified using TCGGCGATAG and AGCCAGCGAA primers, which showed $83.0\%$ of genetic frequency in 85 male and 68 female individuals tested. Nucleotide sequencing of these genetic markers revealed that 296 bp marker has a short micro satellite-like sequence, ACCACCACAC, and a tandem repeat sequence of microsatellite GAAAAATG in the determined sequence. Two distinctive tandem repeats of microsatellite sequences, MC and GAAGA, were also appeared in 521 bp DNA marker. In BLAST search, any gene having high homology with these markers was not found.

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Analysis of Genetic Diversity and Population Structure of Wild Strains and Cultivars Using Genomic SSR Markers in Lentinula edodes

  • Lee, Hwa-Yong;Moon, Suyun;Ro, Hyeon-Su;Chung, Jong-Wook;Ryu, Hojin
    • Mycobiology
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    • 제48권2호
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    • pp.115-121
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    • 2020
  • In this study, the genetic diversity and the population structure of 77 wild strains and 23 cultivars of Lentinula edodes from Korea were analyzed using 20 genomic SSRs, and their genetic relationship was investigated. The tested strains of L. edodes were divided into three sub-groups consisting of only wild strains, mainly wild strains and several cultivars, and mainly cultivars and several wild strains by distance-based analysis. Using model-based analysis, L. edodes strains were divided into two subpopulations; the first one consisting of only wild strains and the second one with mainly cultivars and several wild strains. Moreover, AMOVA analysis revealed that the genetic variation in the cultivars was higher than that in the wild strains. The expected and observed heterozygosity and values indicating the polymorphic information content of L. edodes cultivars from Korea were also higher than that of the wild strains. Based on these results, we presume that the cultivars in Korea have developed by using numerous strains from other countries. In conclusion, the usage of wild strains for the development of new cultivars could improve the adaptability of L. edodes to biotic and abiotic stress.

Global sensitivity analysis improvement of rotor-bearing system based on the Genetic Based Latine Hypercube Sampling (GBLHS) method

  • Fatehi, Mohammad Reza;Ghanbarzadeh, Afshin;Moradi, Shapour;Hajnayeb, Ali
    • Structural Engineering and Mechanics
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    • 제68권5호
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    • pp.549-561
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    • 2018
  • Sobol method is applied as a powerful variance decomposition technique in the field of global sensitivity analysis (GSA). The paper is devoted to increase convergence speed of the extracted Sobol indices using a new proposed sampling technique called genetic based Latine hypercube sampling (GBLHS). This technique is indeed an improved version of restricted Latine hypercube sampling (LHS) and the optimization algorithm is inspired from genetic algorithm in a new approach. The new approach is based on the optimization of minimax value of LHS arrays using manipulation of array indices as chromosomes in genetic algorithm. The improved Sobol method is implemented to perform factor prioritization and fixing of an uncertain comprehensive high speed rotor-bearing system. The finite element method is employed for rotor-bearing modeling by considering Eshleman-Eubanks assumption and interaction of axial force on the rotor whirling behavior. The performance of the GBLHS technique are compared with the Monte Carlo Simulation (MCS), LHS and Optimized LHS (Minimax. criteria). Comparison of the GBLHS with other techniques demonstrates its capability for increasing convergence speed of the sensitivity indices and improving computational time of the GSA.