• Title/Summary/Keyword: Marker Loci

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Major DNA Marker Mining of Hanwoo Chromosome 6 by Bootstrap Method

  • Lee, Jea-Young;Lee, Yong-Won
    • Communications for Statistical Applications and Methods
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    • v.11 no.3
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    • pp.657-668
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    • 2004
  • Permutation test has been applied for the QTL(quantitative trait loci) analysis and we selected a major locus. K -means clustering analysis, for the major DNA Marker mining of ILSTS035 microsatellite loci in Hanwoo chromosome 6, has been described. Finally, bootstrap testing method has been adapted to calculate confidence intervals and for finding major DNA Markers.

Bootstrapping of Hanwoo Chromosome17 Based on BMS1167 Microsatellite Locus

  • Lee, Jea-Young;Lee, Yong-Won;Yeo, Jung-Sou
    • Journal of the Korean Data and Information Science Society
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    • v.18 no.1
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    • pp.175-184
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    • 2007
  • LOD scores and a permutation test for detecting and locating quantitative trait loci (QTL) from the Hanwoo economic trait have been described and we selected a considerable major BMS1167 locus for further analysis. K-means clustering analysis, for the major DNA marker mining of BMS1167 microsatellite loci in Hanwoo chromosome17, has been tried and three cluster groups divide four traits. The three cluster groups are classified according to eight DNA marker bps. Finally, we employed the bootstrap test method to calculate confidence intervals using the resampling method to find major DNA markers. We conclude that the major marker of BMS1167 locus in Hanwoo chromosome17 is only DNA marker 100bp.

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Mapping Quantitative Trait Loci with Various Types of Progeny from Complex Pedigrees

  • Lee, C.;Wu, X.L.
    • Asian-Australasian Journal of Animal Sciences
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    • v.14 no.11
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    • pp.1505-1510
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    • 2001
  • A method for mapping quantitative trait loci (QTL) was introduced incorporating the information of mixed progeny from complex pedigrees. The method consisted of two steps based on single marker analysis. The first step was to examine the marker-trait association with a mixed model considering common environmental effect and reversed QTL-marker linkage phase. The second step was to estimate QTL effects by a weighted least square analysis. A simulation study indicated that the method incorporating mixed progeny from multiple generations improved the accuracy of QTL detection. The influence of within-genotype variance and recombination rate on QTL analysis was further examined. Detecting a QTL with a large within-genotype variance was more difficult than with a small within-genotype variance. Most of the significant marker-QTL association was detectable when the recombination rate was less than 15%.

Analysis of Genetic Characteristics by Biochemical Genetic Markers in Korean Native Chicken (생화학적 유전표지인자에 의한 한국재래닭의 유전특성 분석)

  • 이학교;정호영;한재용;정의룡
    • Korean Journal of Poultry Science
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    • v.23 no.3
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    • pp.135-144
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    • 1996
  • This study was carried out to clarify the genetic constitution of biochemical polymorphic loci controlling blood protein and enzymes as genetic rnarkers in Korean native chicken(KNG) population Blood samples were collected from 230 KNG representing three colored-lines(reddish-, yellowish- and blackish- brown) raised in Daejeon branch of National Livestock Research Institute. Eight blood marker loci, transferrin(Tf), post-albumin(Pas), albumin(Alb), amylase-1(Arny-1), es-terase-1(Es-1), alkaline phosphatase(Akp), catalase(Cat) and hemoglobin(Hh) were analyzed by using starch, agarose and polyacrylamide gel electrophoresis. Based on the gene frequencies of polymorphic marker loci, the genetic characteristics of KNF population was analyzed, and the genetic ariability within population was quantified. The genetic relationships between KNC and other native fowls or improved breeds were also estimated. The gene frequencies of Tf, Pas and AIb loci were similar to those of improved breeds among the seven biochemical polymorphic loci, while gene frequencies of Cat and Es-i loci were remarkably different between KNC and improved breeds. Gene frequencies of amy-i and Akp loci were similar to those of New Hampshire and Rhode Island Red and White Leghorn, respectively. However in comparison with other improved breeds, great differences were observed in gene frequencies of these loci The average heterozygosity, effective number of alleles and homogeneity index for the seven loci combined were estimated to be .334, 1.639 and .373, respectively. Based on the dendrogram and genetic distances, the KNC was genetically closer to New Hampshire, Plymouth Rock and Rhode Island Red breeds than to the White Leghorn breed.

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Assessment of genetic diversity using microsatellite markers to compare donkeys (Equus asinus) with horses (Equus caballus)

  • Kim, Su Min;Yun, Sung Wook;Cho, Gil Jae
    • Animal Bioscience
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    • v.34 no.9
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    • pp.1460-1465
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    • 2021
  • Objective: The study aimed to evaluate the diversity of donkey populations by comparing with the diversity of Thoroughbred and Jeju Halla horses; identified breeding backgrounds can contribute to management and conservation of donkeys in South Korea. Methods: A total of 100 horse (50 Thoroughbreds and 50 Jeju Halla horses) and 79 donkeys samples were genotyped with 15 microsatellite markers (AHT4, AHT5, ASB2, ASB17, ASB23, CA425, HMS1, HMS2, HMS3, HMS6, HMS7, HTG4, HTG10, LEX3, and VHL20), to identify genetic diversity and relationships among horses and donkeys. Results: The observed number of alleles per locus ranged from 1 (ASB17, HMS1) to 14 (AHT5), with a mean value of 4.87, 8.00, and 5.87 in Thoroughbreds, Jeju Halla horses, and donkeys, respectively. Of the 15 markers, AHT4, AHT5, ASB23, CA425, HMS2, HMS3, HTG4, HTG10, and LEX3 loci had relatively high polymorphism information content (PIC) values (PIC>0.5) in these three populations. Mean levels of genetic variation were HE = 0.6721 and HO = 0.6600 in Thoroughbreds, HE = 0.7898 and HO = 0.7100 in Jeju Halla horses, and HE = 0.5635 and HO = 0.4861 in donkeys. Of the 15 loci in donkeys, three loci had negative inbreeding coefficients (FIS), with a moderate mean FIS (0.138). The FIS estimate for the HTG4 marker was highest (0.531) and HMS6 marker was lowest (-0.001). The total probability of exclusion value of 15 microsatellite loci was 0.9996 in donkeys. Conclusion: Genetic cluster analysis showed that the genetic relationship among 79 donkeys was generally consistent with pedigree records. Among the three breeds, donkeys and Thoroughbred horses formed clearly different groups, but the group of Jeju Halla horses overlapped with that of Thoroughbred horses, suggesting that the loci would be suitable for donkey parentage testing. Therefore, the results of this study are a valid tool for genetic study and conservation of donkeys.

한우 6번 염색체의 Bootstrap기법을 이용한 우수 DNA 탐색

  • Lee, Je-Yeong;Yeo, Jeong-Su;Kim, Jae-Woo;Lee, Yong-Won;Kim, Mun-Jeong
    • 한국데이터정보과학회:학술대회논문집
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    • 2003.05a
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    • pp.41-47
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    • 2003
  • 한우 6번 염색체 유전자 지도에서 한우의 질을 높이기 위한 QTL(quantitative trait loci)분석을 실시하여 선별된 Loci 값을 Permutation Test를 이용하여 계산하였다. 한편, 경제적으로 주요한 한우의 특성부위(질적부위와 육량등)에 따른, 우수 경제형질 DNA marker를 K-평균 군집법을 실시 파악하였다. 이들 QTL과 K-평균법에 의해 한우의 염색체 6번, ILST035의 주요 경제 형질별 DNA marker들을 선별하여, Bootstrap BCa방법을 이용하여 각 DNA marker들의 신뢰구간을 구했다.

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Current Status of Quantitative Trait Locus Mapping in Livestock Species - Review -

  • Kim, Jong-Joo;Park, Young I.
    • Asian-Australasian Journal of Animal Sciences
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    • v.14 no.4
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    • pp.587-596
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    • 2001
  • In the last decade, rapid developments in molecular biotechnology and of genomic tools have enabled the creation of dense linkage maps across whole genomes of human, plant and animals. Successful development and implementation of interval mapping methodologies have allowed detection of the quantitative trait loci (QTL) responsible for economically important traits in experimental and commercial livestock populations. The candidate gene approach can be used in any general population with the availability of a large resource of candidate genes from the human or rodent genomes using comparative maps, and the validated candidate genes can be directly applied to commercial breeds. For the QTL detected from primary genome scans, two incipient fine mapping approaches are applied by generating new recombinants over several generations or utilizing historical recombinants with identity-by-descent (IBD) and linkage disequilibrium (LD) mapping. The high resolution definition of QTL position from fine mapping will allow the more efficient implementation of breeding programs such as marker-assisted selection (MAS) or marker-assisted introgression (MAI), and will provide a route toward cloning the QTL.

Identification of Quantitative Trait Loci for Resistance to Soybean Cyst Nematode Race 14 (콩시스트 선충 race14에 대한 저항성 유전자좌 구명)

  • Choi, In-Soo;Kim, Yong-Chul
    • Journal of Life Science
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    • v.13 no.4
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    • pp.375-382
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    • 2003
  • A direct and precise explanation of soybean resistance to soybean cyst nematode will be possible only when the individual gene(s) involved in the resistance are tagged. This study was conducted, (1) to identify and localize quantitative trait loci for resistance to soybean cyst nematode race 14 on RAPD map, (2) to identify the magnitude and mode of inheritance for each quantitative trait loci, and (3) to identify the best combinations of quantitative trait loci for resistance to soybean cyst nematode race 14. Thirty markers (29 RAPD and 1 RFLP) showed significant association with resistance to soybean cyst nematode race 14. From MAPMAKER/QTL analysis, we identified two regions (linkage group C-7 and linkage group C-9) for resistance to soybean cyst nematode .ace 14. The first quantitative trait loci that was localized at 6.0 cM from $H06^1$ on linkage group C-7 showed a dominant inheritance mode. However, we can not exclude the possibility of additive inheritance mode. The second quantitative trait loci that was localized between $B15^2$ and $E01^1$ on linkage group C-9 also showed a dominant mode of inheritance. One pair of flanking markers ($H06^1$ and $H06^2$) and B15$^2$ were used for multiple regression analysis. Marker combination that included 2 markers, $B15^2$ and $H06^1$, explained the highest total variance (22.9%) for resistance to soybean cyst nematode race 14. Further localization of genes for resistance to soybean cyst nematode race 14 and examination of interaction between quantitative trait loci will accelerate the exploitation of resistance to soybean cyst nematode.

순열검정과 부스트랩 방법에 의한 한우 6번 염색체의 ILSTS035에 대한 우수 DNA Marker 선별

  • Lee, Yong-Won;Lee, Je-Yeong;Kim, Mun-Jeong;Han, Cho-Hui
    • Proceedings of the Korean Statistical Society Conference
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    • 2003.10a
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    • pp.325-329
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    • 2003
  • 한우 6번 염색체 유전자 지도에서 QTL (quantitative trait loci) 분석을 실시하여 선별된Locus 값을 순열검정(Permutation Test)을 이용하여 유의성 검정을 실시하였다. 한편, 우수경제형질 DNA marker들을 K-평균 군집법을 실시 파악하였다. 이들 QTL과 K-평균법에 의해 한우의 염색체 6번 ILSTS035의 우수 DNA marker 235번을 선별하였다. 선별된 DNA Marker 235번을 출품우에 적용하여 Bootstrap 방법을 이용하여 신뢰구간을 구하여 검정하였다.

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Evaluation of QTL Related SSR Marker Universality in Korean Rice Breeding Populations

  • Song, Moon-Tae;Lee, Jeom-Ho;Lee, Sang-Bok;Ku, Ja-Hwan;Cho, Youn-Sang;Song, Myung-Hee;Park, Sung-Ho;Hwang, Hung-Goo
    • KOREAN JOURNAL OF CROP SCIENCE
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    • v.48 no.1
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    • pp.56-64
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    • 2003
  • If a quantitative trait loci (QTL) marker identified in a population is applicable to different populations (marker universality), this will not only reduce the labor and cost in marker assisted selection (MAS), but accelerate the application of molecular markers to real breeding programs. Present study aims to evaluate the defined QTL related markers from a population to a different breeding population for the MAS. Four rice breeding populations were subjected to seventy-five simple sequence repeat (SSR) markers which were already identified for their polymorphism information content (PIC) in the parents of the crossings. Among them, eight markers were evaluated for their correlation between presence of marker alleles and phenotypic expression in breeding populations. A reasonable level of polymorphism for the mapped markers originated from any sources of rice accessions was observed between crosses of any sources (marker repeatability). However, correlation between presence of markers and expression of the traits in rice breeding populations was not significant except for minor portion of traits and markers examined (failure of marker universality). In the present study, various strategies were discussed to develop new markers with universality of breeding application.