• Title/Summary/Keyword: genetic markers

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Genetic Distance Study among Deoni Breed of Cattle Using Random Amplified DNA Markers

  • Appannavar, M.M.;Govindaiah, M.G.;Ramesha, K.P.
    • Asian-Australasian Journal of Animal Sciences
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    • v.16 no.3
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    • pp.315-319
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    • 2003
  • Random amplified polymorphic DNA (RAPD) analysis was done with 19 oligonucleotide primers to study genetic similarities and divergence among different types of Deoni breed of cattle viz., Balankya, Wannera and Waghya. Six random primers produced low to high numbers of polymorphic bands between pooled DNA of different Deoni types. Of the 48 RAPD markers obtained 33 were common to all Deoni types, 3 were individual specific and 12 were polymorphic for different Deoni types. The mean average percentage difference values among Deoni types showed that Balankya and Wannera had less genetic divergence when compared to Waghya.

Single nucleotide polymorphism marker combinations for classifying Yeonsan Ogye chicken using a machine learning approach

  • Eunjin, Cho;Sunghyun, Cho;Minjun, Kim;Thisarani Kalhari, Ediriweera;Dongwon, Seo;Seung-Sook, Lee;Jihye, Cha;Daehyeok, Jin;Young-Kuk, Kim;Jun Heon, Lee
    • Journal of Animal Science and Technology
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    • v.64 no.5
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    • pp.830-841
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    • 2022
  • Genetic analysis has great potential as a tool to differentiate between different species and breeds of livestock. In this study, the optimal combinations of single nucleotide polymorphism (SNP) markers for discriminating the Yeonsan Ogye chicken (Gallus gallus domesticus) breed were identified using high-density 600K SNP array data. In 3,904 individuals from 198 chicken breeds, SNP markers specific to the target population were discovered through a case-control genome-wide association study (GWAS) and filtered out based on the linkage disequilibrium blocks. Significant SNP markers were selected by feature selection applying two machine learning algorithms: Random Forest (RF) and AdaBoost (AB). Using a machine learning approach, the 38 (RF) and 43 (AB) optimal SNP marker combinations for the Yeonsan Ogye chicken population demonstrated 100% accuracy. Hence, the GWAS and machine learning models used in this study can be efficiently utilized to identify the optimal combination of markers for discriminating target populations using multiple SNP markers.

Type 1 diabetes genetic susceptibility markers and their functional implications

  • Park, Yongsoo
    • Journal of Genetic Medicine
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    • v.11 no.1
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    • pp.1-10
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    • 2014
  • Type 1 diabetes (T1D) is a chronic autoimmune disease characterized by selective destruction of pancreatic ${\beta}$-cells resulting in insulin deficiency. The genetic determinants of T1D susceptibility have been linked to several loci, in particular to the human leukocyte antigen (HLA) region, which accounts for 50% of the genetic risk of developing T1D. Multiple genes in the HLA region, which are in strong linkage disequilibrium, are thought to be involved. Another important locus, with a smaller effect on genetic predisposition to T1D, is the insulin gene. The advent of numerous single nucleotide polymorphism markers and genome screening has enabled the identification of dozens of new T1D susceptibility loci. Some of them appear to predispose to T1D independently of the HLA and may be important in families with T1D who lack strong HLA susceptibility. Other loci may interact with each other to cause susceptibility. The autoimmune response against ${\beta}$-cells can also be triggered by environmental factors in the presence of a predisposing genetic background. Deciphering the environmental and genetic factors involved should help to understand the origin of T1D and aid in the design of individualized prevention programs.

Comparison of Genetic Diversity among Amaranth Accessions from South and Southeast Asia using SSR Markers (SSR 마커를 이용한 남아시아와 동남아시아 아마란스 자원의 유전적 다양성 비교)

  • Wang, Xiao Qiang;Park, Yong Jin
    • Korean Journal of Medicinal Crop Science
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    • v.21 no.3
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    • pp.220-228
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    • 2013
  • This study was conducted to assess the genetic diversity and population structure of 70 amaranth accessions collected from South and Southeast Asia using 14 simple sequence repeat (SSR) markers. In total, 67 alleles were detected, with an average of 4.79 per locus. Rare alleles comprised a large portion (46.3%) of the detected alleles, and 29 unique alleles associated with rice accessions were also discovered. The mean major allele frequency (MAF), genetic diversity (GD) and polymorphic information content (PIC) of the 14 SSR loci were 0.77, 0.36, and 0.34, respectively. A model-based structural analysis revealed the presence of three subpopulations. The genetic relationships revealed by the neighbor-joining tree method were fairly consistent with the structure-based membership assignments for most of the accessions. All 70 accessions showed a clear relationship to each cluster without any admixtures. We observed a relatively low extent of genetic exchange within or among amaranth species from South and Southeast Asia. The genetic diversity results could be used to identify amaranth germplasms and so facilitate their use for crop improvement.

New polymorphic microsatellite markers in the Korean mi-iuy croaker, $Miichthys$ $miiuy$, and their application to the genetic characterization of wild and farmed populations

  • An, Hye-Suck;Kim, Eun-Mi;Lee, Jang-Wook;Kim, Dae-Jung;Kim, Yi-Cheong
    • Animal cells and systems
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    • v.16 no.1
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    • pp.41-49
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    • 2012
  • Eighteen new polymorphic microsatellite markers were developed for the Korean mi-iuy croaker ($Miichthys$ $miiuy$, Perciformes, Sciaenidae), and allelic variability was compared between a wild population in Mokpo, Korea, and a hatchery population in Tongyeong, Korea. All loci were amplified readily and demonstrated allelic variability, with the number of alleles ranging from 5 to 37 in the wild population, and from 4 to 12 in the farmed population. The average observed and expected heterozygosities were estimated, respectively, to be 0.74 and 0.78 in the hatchery population samples, and 0.79 and 0.86 in the wild samples. These results indicate lower genetic variability in the hatchery population compared with the wild population, and significant genetic differentiation between the wild population and the hatchery samples ($F_{ST}$=0.058, P<0.001). These microsatellite loci may be valuable for future population genetic studies, monitoring changes in the genetic variation within stocks in a commercial breeding program, conservation genetics, and molecular assisted selective breeding of the mi-iuy croaker in the future.

Genetic Diversity and Population Structure of Mongolian Wheat Based on SSR Markers: Implications for Conservation and Management

  • Ya, Narantsetseg;Raveendar, Sebastin;Bayarsukh, N;Ya, Myagmarsuren;Lee, Jung-Ro;Lee, Kyung-Jun;Shin, Myoung-Jae;Cho, Gyu-Taek;Ma, Kyung-Ho;Lee, Gi-An
    • Plant Breeding and Biotechnology
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    • v.5 no.3
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    • pp.213-220
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    • 2017
  • Production of spring wheat, the major crop in Mongolia, accounts for 98% of the cultivated area. Understanding genetic variability in existing gene bank accessions is critical for collection, conservation and use of wheat germplasms. To determine genetic diversity and population structure among a representative collection of Mongolian local wheat cultivars and lines, 200 wheat accessions were analyzed with 15 SSR markers distributed throughout the wheat genome. A total of 85 alleles were detected, with three to five alleles per locus and a mean genetic richness of 5.66. Average genetic diversity index was 0.69, with values ranging from 0.37-0.80. The 200 Mongolian wheat accessions were mainly divided into two subgroups based on structure and phylogenetic analyses, and some phenotypes were divergent by the subgroups. Results from this study will provide valuable information for conservation and sustainable use of Mongolian wheat genetic resources.

Genetic Distances Within-Population and Between-Population of Tonguesole, Cynoglossus spp. Identified by PCR Technique

  • Yoon, Jong-Man
    • Development and Reproduction
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    • v.23 no.3
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    • pp.297-304
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    • 2019
  • The higher fragment sizes (>2,100 bp) are not observed in the two C. spp. populations. The six oligonucleotides primers OPA-11, OPB-09, OPB-14, OPB-20, OPC-14, and OPC-18 were used to generate the unique shared loci to each tonguesole population and shared loci by the two tonguesole populations. The hierarchical polar dendrogram indicates two main clusters: Gunsan (GUNSAN 01-GUNSAN 11) and the Atlantic (ATLANTIC 12-ATLANTIC 22) from two geographic populations of tonguesoles. The shortest genetic distance displaying significant molecular difference was between individuals' GUNSAN no. 02-GUNSAN no. 01 (genetic distance=0.038). In the long run, individual no. 02 of the ATLANTIC tonguesole was most distantly related to GUNSAN no. 06 (genetic distance=0.958). These results demonstrate that the Gunsan tonguesole population is genetically different from the Atlantic tonguesole population. The potential of PCR analysis to identify diagnostic markers for the identification of two tonguesole populations has been demonstrated. As a rule, using various oligonucleotides primers, this PCR method has been applied to identify polymorphic/specific markers particular to species and geographical population, as well as genetic diversity/polymorphism in diverse species of organisms.

Linkage Map Construction and Molecular Genetic Approach in Capsicum spp.

  • Kim, Byung-Dong
    • Korean Journal of Plant Tissue Culture
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    • v.27 no.5
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    • pp.367-373
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    • 2000
  • We have constructed a molecular linkage map of chili pepper (Capsicum spp.) in an interspecific (C. annuum cv. TF68 x C. chinense cv. Habanero) F$_2$ population of 107 plants with 150 RFLP and 430 AFLP markers. The resulting linkage map consists of 11 large (206-60.3 cM) and 5 small (32.6- 10.3 cM) linkage groups cover-ing 1,320 cM with an average map distance between framework markers of 7.5 cM. Most (80%) of the RFLP markers were pepper-derived clones and these markers were evenly distributed across the genome. By using 30 primer combinations, 444 AFLP markers were generated in the F$_2$population. The majority of the AFLP markers clustered in each linkage group, although PstI/MseI markers were more evenly distributed than Eco RI/MseI markers within the linkage groups. Genes for biosynthesis of carotenoids and capsaicinoids were mapped on our linkage map. This map will provide the basis of studying secondary metabolites in pepper.

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Analysis of Genetic Variation Among Popcorn Inbred Lines by SSR Markers (튀김용 옥수수 자식계통들에 대한 유전적 변이성)

  • Jang, Jin-Sun;Chang, Eun-Ha;Sa, Kyu-Jin;Kim, Jong-Hwa;Lee, Ju Kyong
    • Korean Journal of Breeding Science
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    • v.43 no.5
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    • pp.405-412
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    • 2011
  • Knowledge of genetic diversity and genetic relationships among inbred lines gives a significant impact on the selection of parental lines for hybrid maize varieties. Genetic diversity and genetic relationships among 86 popcorn inbred lines were analyzed using 50 SSR markers distributed over the whole genome. A total of 256 alleles were identified at all the SSR loci with an average of 5.1 and a range between two and sixteen per locus. The gene diversity values varied from 0.21 to 0.831 with an average of 0.579. The cluster tree generated using the described SSR markers recognized three major groups at 35.8% genetic similarity. Groups I, II, III respectively included 40, 39 and 7 inbred lines. The present study indicates that the SSR markers chosen for this analysis are effective for the assessment of genetic diversity and genetic relationships among 86 popcorn inbred lines in Korea.