• Title/Summary/Keyword: Single Nucleotide Polymorphism Markers

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Development and Validation of Single Nucleotide Polymorphism (SNP) Markers from an Expressed Sequence Tag (EST) Database in Olive Flounder (Paralichthys olivaceus)

  • Kim, Jung Eun;Lee, Young Mee;Lee, Jeong-Ho;Noh, Jae Koo;Kim, Hyun Chul;Park, Choul-Ji;Park, Jong-Won;Kim, Kyung-Kil
    • Development and Reproduction
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    • v.18 no.4
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    • pp.275-286
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    • 2014
  • To successful molecular breeding, identification and functional characterization of breeding related genes and development of molecular breeding techniques using DNA markers are essential. Although the development of a useful marker is difficult in the aspect of time, cost and effort, many markers are being developed to be used in molecular breeding and developed markers have been used in many fields. Single nucleotide polymorphisms (SNPs) markers were widely used for genomic research and breeding, but has hardly been validated for screening functional genes in olive flounder. We identified single nucleotide polymorphisms (SNPs) from expressed sequence tag (EST) database in olive flounder; out of a total 4,327 ESTs, 693 contigs and 514 SNPs were detected in total EST, and these substitutions include 297 transitions and 217 transversions. As a result, 144 SNP markers were developed on the basis of 514 SNP to selection of useful gene region, and then applied to each of eight wild and culture olive flounder (total 16 samples). In our experimental result, only 32 markers had detected polymorphism in sample, also identified 21 transitions and 11 transversions, whereas indel was not detected in polymorphic SNPs. Heterozygosity of wild and cultured olive flounder using the 32 SNP markers is 0.34 and 0.29, respectively. In conclusion, we identified SNP and polymorphism in olive flounder using newly designed marker, it supports that developed markers are suitable for SNP detection and diversity analysis in olive flounder. The outcome of this study can be basic data for researches for immunity gene and characteristic with SNP.

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.

UNDERSTANDING OF SINGLE NUCLEOTIDE POLYMORPHISM OF HUMAN GENOME (인간 게놈의 단일염기변형 (Single Nucleotide Polymorphism; SNP)에 대한 이해)

  • Oh, Jung-Hwan;Yoon, Byung-Wook
    • Journal of the Korean Association of Oral and Maxillofacial Surgeons
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    • v.34 no.4
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    • pp.450-455
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    • 2008
  • A Single Nucleotide Polymorphism (SNP) is a small genetic change or variation that can occur within a DNA sequence. It's the difference of one base at specific base pair position. SNP variation occurs when a single nucleotide, such as an A, replaces one of the other three nucleotide letters-C, G, or T. On average, SNP occur in the human population more than 1 percent of the time. They occur once in every 300 nucleotides on average, which means there are roughly 10 million SNPs in the human genome. Because SNPs occur frequently throughout the genome and tend to be relatively stable genetically, they serve as excellent biological markers. They can help scientists locate genes that are associated with disease such as heart disease, cancer, diabetes. They can also be used to track the inheritance of disease genes within families. SNPs may also be associated with absorbance and clearance of therapeutic agents. In the future, the most appropriate drug for an individual could be determined in advance of treatment by analyzing a patient's SNP profile. This pharmacogenetic strategy heralds an era in which the choice of drugs for a particular patient will be based on evidence rather than trial and error (so called "personalized medicine").

Identification of Single Nucleotide Polymorphism Markers in the Laccase Gene of Shiitake Mushrooms (Lentinula edodes)

  • Kim, Ki-Hwan;Ka, Kang-Hyeon;Kang, Ji Hyoun;Kim, Sangil;Lee, Jung Won;Jeon, Bong-Kyun;Yun, Jung-Kuk;Park, Sang Rul;Lee, Hyuk Je
    • Mycobiology
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    • v.43 no.1
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    • pp.75-80
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    • 2015
  • We identified single nucleotide polymorphism (SNP) markers in the laccase gene to establish a line-diagnostic system for shiitake mushrooms. A total of 89 fungal isolates representing four lines, including Korean registered, Korean wild type, Chinese, and Japanese lines, were analyzed. The results suggest that SNP markers in the laccase gene can be useful for line typing in shiitake mushrooms.

Identification and characterization of novel single nucleotide polymorphism markers for fat deposition in muscle tissue of pigs using amplified fragment length polymorphism

  • Supakankul, Pantaporn;Kumchoo, Tanavadee;Mekchay, Supamit
    • Asian-Australasian Journal of Animal Sciences
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    • v.30 no.3
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    • pp.338-346
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    • 2017
  • Objective: This study was conducted to identify and evaluate the effective single nucleotide polymorphism (SNP) markers for fat deposition in the longissimus dorsi muscles of pigs using the amplified fragment length polymorphism (AFLP) approach. Methods: Sixty-four selective primer combinations were used to identify the AFLP markers in the 20 highest- and 20 lowest-intramuscular fat (IMF) content phenotypes. Five AFLP fragments were converted into simple codominant SNP markers. These SNP markers were tested in terms of their association with IMF content and fatty acid (FA) composition traits in 620 commercially crossbred pigs. Results: The SSC7 g.4937240C>G marker showed an association with IMF content (p<0.05). The SSC9 g.5496647_5496662insdel marker showed a significant association with IMF content and arachidonic levels (p<0.05). The SSC10 g.71225134G>A marker revealed an association with palmitoleic and ${\omega}9$ FA levels (p<0.05), while the SSC17 g.61976696G>T marker showed a significant association with IMF content and FA levels of palmitoleic, eicosenoic, arachidonic, monounsaturated fatty acids, and ${\omega}9$ FA levels. However, no significant association of SSC8 g.47338181G>A was observed with any IMF and FA levels in this study. Conclusion: Four SNP markers (SSC7 g.4937240C>G, SSC9 g.5496647_5496662insdel, SSC10 g.71225134G>A, and SSC17 g.61976696G>T) were found to be associated with IMF and/or FA content traits in commercially crossbred pigs. These findings provide evidence of the novel SNP markers as being potentially useful for selecting pigs with the desirable IMF content and FA composition.

Fast Microchip Electrophoresis Using Field Strength Gradients for Single Nucleotide Polymorphism Identification of Cattle Breeds

  • Oh, Doo-Ri;Cheong, Il-Cheong;Lee, Hee-Gu;Eo, Seong-Kug;Kang, Seong-Ho
    • Bulletin of the Korean Chemical Society
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    • v.31 no.7
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    • pp.1902-1906
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    • 2010
  • A microchip electrophoresis (ME) method was developed using a programmed field strength gradients (PFSG) for the single nucleotide polymorphism (SNP) based fast identification of cattle breeds. Four different Korean cattle (Hanwoo) and Holstein SNP markers amplified by allele-specific polymerase chain reaction were separated in a glass microchip filled with 0.5% poly(ethyleneoxide) ($M_r$ = 8 000 000) by PFSG as follows: 750 V/cm for 0 - 14 s, 166.7 V/cm for 14 - 31 s, 83.3 V/cm for 31 - 46 s, and 750 V/cm for 46 - 100 s. The cattle breeds were clearly distinguished within 45 s. The ME-PFSG method was 7 times and 5 times faster than the constant electric field ME method and the capillary electrophoresis- PFSG method, respectively, with a high resolving power ($R_s$ = 5.05 - 9.98). The proposed methodology could be a powerful tool for the fast and simultaneous determination of SNP markers for various cattle breeds with high accuracy.

Development and Verification of and Single Nucleotide Polymorphism Markers toDetermine Country of Origin of Korean and Chinese Scapharca subcrenata (한국산과 중국산 새꼬막(Scapharca subcrenata)의 원산지 판별을 위한 SNP 마커의 개발 및 검증)

  • Seong Seok Choi;Seung Hyun Yoo;Yong Bae Seo;Jong Oh Kim;Ik Jung Kwon;So Hee Bae;Gun Do Kim
    • Journal of Life Science
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    • v.33 no.12
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    • pp.1025-1035
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    • 2023
  • In this study, we analyzed SNPs that appear between Korean and Chinese Scapharca subcrenata using the nucleotide sequence data of S. subcrenata analyzed by genotyping by sequencing (GBS). To distinguish the country of origin for S. subcrenata in Korean and Chinese, we developed a primer set as single nucleotide polymorphism (SNP) markers for quantitative real-time PCR (qPCR) analysis and validated by sequencing SNPs. A total of 180 samples of S. subcrenata were analyzed by genotyping by sequencing, and 15 candidate SNPs were selected. SNP marker selection for country of origin were identified through real-time qPCR. Insertion 1 and SNP 21 markers showed the most distinct separation between the sequence types as well as the country of origin through qPCR, with the observed amplification patterns matching the expected outcomes.. Additionally, in a blind test conducted by mixing samples of S. subcrenata at random, Insertion 1 showed 74% accuracy, 52% sensitivity, and 96% specificity, and SNP 21 showed 86% accuracy, 79% sensitivity, and 93% specificity. Therefore, the two SNP markers developed are expected to be useful in verifying the authenticity of the country of origin of S. subcrenata when used independently or in combination.

Relationships between Single Nucleotide Polymorphism Markers and Meat Quality Traits of Duroc Breeding Stocks in Korea

  • Choi, J.S.;Jin, S.K.;Jeong, Y.H.;Jung, Y.C.;Jung, J.H.;Shim, K.S.;Choi, Y.I.
    • Asian-Australasian Journal of Animal Sciences
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    • v.29 no.9
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    • pp.1229-1238
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    • 2016
  • This study was conducted to determine the relationships of five intragenic single nucleotide polymorphism (SNP) markers (protein kinase adenosine monophosphate-activated ${\gamma}3$ subunit [PRKAG3], fatty acid synthase [FASN], calpastatin [CAST], high mobility group AT-hook 1 [HMGA1], and melanocortin-4 receptor [MC4R]) and meat quality traits of Duroc breeding stocks in Korea. A total of 200 purebred Duroc gilts from 8 sires and 40 dams at 4 pig breeding farms from 2010 to 2011 reaching market weight (110 kg) were slaughtered and their carcasses were chilled overnight. Longissimus dorsi muscles were removed from the carcass after 24 h of slaughter and used to determine pork properties including carcass weight, backfat thickness, moisture, intramuscular fat, $pH_{24h}$, shear force, redness, texture, and fatty acid composition. The PRKAG3, FASN, CAST, and MC4R gene SNPs were significantly associated with the meat quality traits (p<0.003). The meats of PRKAG3 (A 0.024/G 0.976) AA genotype had higher pH, redness and texture than those from PRKAG3 GG genotype. Meats of FASN (C 0.301/A 0.699) AA genotype had higher backfat thickness, texture, stearic acid, oleic acid and polyunsaturated fatty acid than FASN CC genotype. While the carcasses of CAST (A 0.373/G 0.627) AA genotype had thicker backfat, and lower shear force, palmitoleic acid and oleic acid content, they had higher stearic acid content than those from the CAST GG genotype. The MC4R (G 0.208/A 0.792) AA genotype were involved in increasing backfat thickness, carcass weight, moisture and saturated fatty acid content, and decreasing unsaturated fatty acid content in Duroc meat. These results indicated that the five SNP markers tested can be a help to select Duroc breed to improve carcass and meat quality properties in crossbred pigs.

Transferability of Cupped Oyster EST (Expressed Sequence Tag)-Derived SNP (Single Nucleotide Polymorphism) Markers to Related Crassostrea and Ostrea Species

  • Kim, Woo-Jin;Jung, Hyungtaek;Shin, Eun-Ha;Baek, Ilseon
    • The Korean Journal of Malacology
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    • v.30 no.3
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    • pp.197-210
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    • 2014
  • Single nucleotide polymorphisms (SNPs) are widely acknowledged as the marker of choice for many genetic and genomic applications because they show co-dominant inheritance, are highly abundant across genomes and are suitable for high-throughput genotyping. Here we evaluated the applicability of SNP markers developed from Crassostrea gigas and C. virginica expressed sequence tags (ESTs) in closely related Crassostrea and Ostrea species. A total of 213 putative interspecific level SNPs were identified from re-sequencing data in six amplicons, yielding on average of one interspecific level SNP per seven bp. High polymorphism levels were observed and the high success rate of transferability show that genic EST-derived SNP markers provide an efficient method for rapid marker development and SNP discovery in closely related oyster species. The six EST-SNP markers identified here will provide useful molecular tools for addressing questions in molecular ecology and evolution studies including for stock analysis (pedigree monitoring) in related oyster taxa.

Identification of markers associated with estimated breeding value and horn colour in Hungarian Grey cattle

  • Zsolnai, Attila;Kovacs, Andras;Kaltenecker, Endre;Anton, Istvan
    • Animal Bioscience
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    • v.34 no.4
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    • pp.482-488
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    • 2021
  • Objective: This study was conducted to estimate effect of single nucleotide polymorphisms (SNP) on the estimated breeding value of Hungarian Grey (HG) bulls and to find markers associated with horn colour. Methods: Genotypes 136 HG animals were determined on Geneseek high-density Bovine SNP 150K BeadChip. A multi-locus mixed-model was applied for statistical analyses. Results: Six SNPs were identified to be associated (-log10P>10) with green and white horn. These loci are located on chromosome 1, 3, 9, 18, and 25. Seven loci (on chromosome 1, 3, 6, 9, 10, 28) showed considerable association (-log10P>10) with the estimated breeding value. Conclusion: Analysis provides markers for further research of horn colour and supplies markers to achieve more effective selection work regarding estimated breeding value of HG.