• Asian-Australasian Journal of Animal Sciences
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• v.29 no.7
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• pp.938-943
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• 2016

Development of body hair is an important physiological and cellular process that leads to better adaption in tropical environments for dairy cattle. Various studies suggested a major gene and, more recently, associated genes for hairy locus in dairy cattle. Main aim of this study was to i) employ a variant of the discordant sib pair model, in which half sibs from the same sires are randomly sampled using their affection statues, ii) use various single marker regression approaches, and iii) use whole genome regression approaches to dissect genetic architecture of the hairy gene in the cattle. Whole and single genome regression approaches detected strong genomic signals from Chromosome 23. Although there is a major gene effect on hairy phenotype sourced from chromosome 23: whole genome regression approach also suggested polygenic component related with other parts of the genome. Such a result could not be obtained by any of the single marker approaches.

• Asian-Australasian Journal of Animal Sciences
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• v.15 no.9
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• pp.1250-1256
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• 2002

A novel fine-mapping method exploiting linkage disequilibrium (LD) was applied to better refine the quantitative trait loci (QTL) positions for milk production traits on bovine chromosome 14 in the pedigree comprising 22 paternal half-sib families of a Black-and-White Holstein-Friesian grand-daughter design in the Netherlands for a total of 1,034 sons. The chromosome map was constructed with the 31 genetic markers spanning 90 Kosambi cM with the average inter-marker distance of 3.5 cM. The linkage analyses, in which the effects of sire QTL alleles were assumed random and the random factor of the QTL allelic effects was incorporated into the Animal Model, found the QTL for milk, fat, and protein yield and fat and protein % with the Lod scores of 10.9, 2.3, 6.0, 25.4 and 3.2, respectively. The joint analyses including LD information by use of multi-marker haplotypes highly increased the evidence of the QTL (Lod scores were 25.1, 20.9, 11.0, 85.7 and 17.4 for the corresponding traits, respectively). The joint analyses including DGAT markers in the defined haplotypes again increased the QTL evidence and the most likely QTL positions for the five traits coincided with the position of the DGAT gene, supporting the hypothesis of the direct causal involvement of the DGAT gene. This study strongly indicates that the exploitation of LD information will allow additional gains of power and precision in finding and localising QTL of interest in livestock species, on the condition of high marker density around the QTL region.

• Korean Journal of Agricultural Science
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• v.45 no.4
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• pp.707-713
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• 2018

This study was done to search for positional candidate genes associated with the back fat thickness trait using a Genome-Wide Association Study (GWAS) in purebred Yorkshires (N = 1755). Genotype and phenotype analyses were done for 1,642 samples. As a result of the associations with back fat thickness using the Gemma program (ver. 0.93), when the genome-wide suggestive threshold was determined using the Bonferroni method ($p=1.61{\times}10^{-5}$), the single nucleotide polymorphism (SNP) markers with suggestive significance were identified in 1 SNP marker on chromosome 2 (MARC0053928; $p=3.65{\times}10^{-6}$), 2 SNP markers on chromosome 14 (ALGA0083078; $p=7.85{\times}10^{-6}$, INRA0048453; $p=1.27{\times}10^{-5}$), and 1 SNP marker on chromosome 18 (ALGA0120564; $p=1.44{\times}10^{-5}$). We could select positional candidate genes (KCNQ1, DOCK1, LOC106506151, and LOC110257583), located close to the SNP markers. Among these, we identified a potassium voltage-gated channel subfamily Q member gene (KCNQ1) and the dedicator of cytokinesis 1 (DOCK1) gene associated with obesity and Type-2 diabetes. The SNPs and haplotypes of the KCNQ1 and DOCK1 genes can contribute to understanding the genetic structure of back fat thickness. Additionally, it may provide basic data regarding marker assisted selection for a meat quality trait in pigs.

• KOREAN JOURNAL OF CROP SCIENCE
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• v.56 no.4
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• pp.329-341
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• 2011

The objective of this study was to determine the genetic diversities of major rice blast resistance genes among 84 accessions of aromatic rice germplasm. Eighty four accessions were characterized by a dominant 11 set of PCR-based SNP and CAPS marker, which showed the broad spectrum resistance and closest linkage to seven major rice blast resistance (R) genes, Pia, Pib, Pii, Pi5 (Pi3), Pita (Pita-2), and Pi9 (t). The allele specific PCR markers assay genotype of SCAR and STS markers was applied to estimate the presence or absence of PCR amplicons detected with a pair of PCR markers. One indica accession, Basmati (IT211194), showed the positive amplicons of five major rice blast resistance genes, Pia, Pi5 (Pi3), Pib, Pi-ta (Pi-ta2), and Pik-5 (Pish). Among 48 accessions of the PCR amplicons detected with yca72 marker, only five accessions were identified to Pia gene on chromosome 11. The Pib gene was estimated with the NSb marker and was detected in 65 of 84 accessions. This study showed that nine of 84 accessions contained the Pii gene and owned Pi5 (Pi3) in 42 of 84 accessions by JJ817 and JJ113-T markers, which is coclosest with Pii on chromosome 9. Only six accessions were detected two alleles of the Pita or Pita-2 genes. Three of accessions were identified as the Pi9 (t) gene locus.

• Molecules and Cells
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• v.26 no.6
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• pp.548-553
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• 2008

The erect habit of fruit setting is a unique characteristic of ornamental peppers and wild pepper species. The erect habit is known to be controlled by the up locus on pepper (Capsicum annuum L.) chromosome 12. The result of a genetic analysis using Saengryeog 211 (pendant), Saengryeog 213 (erect), and their $F_1$ and $BC_1$ progeny demonstrated that up is a recessive gene. To develop an up-linked marker, bulked segregant analysis (BSA) and amplified fragment length polymorphism (AFLP) were employed using 108 $F_{2:3}$ individuals. The closest AFLP marker, $A2C7_{469}$, was located at a genetic distance of 1.7 cM from the up locus and was converted into a cleaved amplified polymorphic sequence (CAPS) marker. This marker was mapped at a genetic distance of 4.3 cM from the up locus. When the CAPS was applied to seven ornamental lines and 27 breeding lines with erect fruit, these genotypes of 28 lines were correctly predicted. Thus, the CAPS marker will be useful for marker-assisted selection (MAS) of pepper breeding lines with the up allele at the early seedling stage.

• Genomics & Informatics
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• v.1 no.2
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• pp.101-107
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• 2003

Loss of heterozygosity (LOH) has been used to detect deleted regions of a specific chromosome in cancer cells. LOH on chromosome 16q has been reported to occur frequently in progressed hepatocellular carcinoma (HCC). Liver tissues from 37 Korean HCC patients were analyzed for LOH by using 25 polymorphic microsatellite markers distributed along 16q. Out of the 37 HCC patients studied, 21 patients (56.8%) showed LOH in various regions of 16q with at least one polymorphic marker. Puring the analysis of these 21 LOH cases, 6 patients showed interstitial LOHs in which the boundary of the LOH region was defined. With two rounds of LOH analysis, five commonly occurring interstitial LOH regions were identified; 16q21-22.1, 16q22.2 - 22.3, 16q22.3, 16q23.2 and 16q23.3 - 24.1. Among the five LOH regions the 16q23.3 - 24.1 region has been reported to be related with chromosome instability. A complete physical map, which covers the 3.2 Mb region of 16q23.3 - 24.1 (D16S402 and D16S486), was constructed to identify novel candidate tumor suppressor genes. We provide the minimally tiling path map consisting of 28 BAC clones. There was one gap between NT_10422.11 and NT_019609.9 of the human genome sequence contig (NCBI sequence build 33, April 29, 2003). This gap can be filled by sequencing the R-1425M20 clone which bridges these sequence contigs.

• Korean Journal of Microbiology
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• v.20 no.1
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• pp.1-10
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• 1982

From Aspergillus nidulans, six suppressor mutants, MSI-MS6, were isolated, and their characteristics were analysed. These were the suppressor mutants for acriflavin resistant and nicotinamide auxotrophic mutant phenotypes. MS1, MS2, MS5 and MS6, were linked to the chromosome IV, I, II respectively, and MS2 was linked to one of the rest chromosomes, MS3 and MS6 mutants had both suppressors for acriflavin resistant marker and for nicotinamide auxotrophic marker. In order to know the stability and efficiency of the suppressors, their reversion frequencies, that is, frequencies of losing the suppressibility, were analysed. Only MS3 and MS5 were reversed with high frequency. The four mutants didn't lose their suppressibilities, and this meant that the suppressors of these four were very stable and highly effcient. The suppressor specificities of these mutants were tested for other mutant's phenotype marker. One of the six suppressors, MS1, had the suppressor specificity for acriflavin resistant marker of 163 strain.

• Communications for Statistical Applications and Methods
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• v.13 no.3
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• pp.525-535
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• 2006

We describe tests for detecting and locating quantitative traits loci (QTL) for traits in Hanwoo. Lod scores and a permutation test have been described. From results of a permutation test to detect QTL, we select major DNA markers of ILSTS098 microsatellite locus in Hanwoo chromosome 2 for further analysis. K-means clustering analysis applied to four traits and eight DNA markers in ILSTS098 resulted in three cluster groups. We conclude that the major DNA markers of BMS1167 microsatellite locus in Hanwoo chromosome 2 are markers 105bp, 113bp and 115bp. Finally, bootstrap testing method has been adapted to calculate confidence intervals and for finding major DNA Markers.

• Asian-Australasian Journal of Animal Sciences
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• v.8 no.2
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• pp.171-174
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• 1995

Heteromorphisms of chromosome banding patterns can be useful markers for gene mapping and other kinds of genetic studies. In Japanese quail, the centromere region of chromosome No. 4 is the site of a heteromorphism. One form of the C-band at this region is relatively small ("a" form); an alternative form is much larger ("b" form). To identify the transmission patterns, all possible matings were made between birds with karyotype a/a, a/b, and b/b. The outcome from all crosses are entirely consistent with the expectation from simple Mendelian transmission. No evidence was found for segregation distortion or gametic selection. This dimorphism, therefore, is a reliable marker.

• Asian-Australasian Journal of Animal Sciences
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• v.21 no.5
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• pp.617-623
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• 2008

A fine-mapping method exploiting linkage disequilibrium was used to detect quantitative trait loci (QTL) on the X chromosome affecting milk production, body conformation and productivity traits. The pedigree comprised 22 paternal half-sib families of Black-and-White Holstein bulls in the Netherlands in a grand-daughter design for a total of 955 sons. Twenty-five microsatellite markers were genotyped to construct a linkage map on the chromosome X spanning 170 Haldane cM with an average inter-marker distance of 7.1 cM. A covariance matrix including elements about identical-by-descent probabilities between haplotypes regarding QTL allele effects was incorporated into the animal model, and a restricted maximum-likelihood method was applied for the presence of QTL using the LDVCM program. Significance thresholds were obtained by permuting haplotypes to phenotypes and by using a false discovery rate procedure. Seven QTL responsible for conformation types (teat length, rump width, rear leg set, angularity and fore udder attachment), behavior (temperament) and a mixture of production and health (durable prestation) were detected at the suggestive level. Some QTL affecting teat length, rump width, durable prestation and rear leg set had small numbers of haplotype clusters, which may indicate good classification of alleles for causal genes or markers that are tightly associated with the causal mutation. However, higher maker density is required to better refine the QTL position and to better characterize functionally distinct haplotypes which will provide information to find causal genes for the traits.