• 제목/요약/키워드: eQTL

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콩에서 종실의 무게와 oil 및 단백질 함량을 조절하는 양적 형질 유전자좌와 연관된 simple sequence repeat marker (Simple Sequence Repeat Markers Linked to Quantitative Trait Loci Controlling Seed Weight, Protein and Oil Contents in Soybean)

  • 김현경;강성택;정명근;정찬식;오기원;백인열;손병구
    • 생명과학회지
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    • 제16권6호
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    • pp.949-954
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    • 2006
  • 콩은 전 세계 시장의 48%를 차지하는 중요한 유료작물이다. 콩 종자를 구성하는 양적인 부분과 질적인 부분의 개선은 콩 육종 목표의 중요한 부분이다. 단백질함량과 종실의 크기는 두부와 콩나물의 질을 평가하는 중요한 특성이다. 따라서 본 연구는 콩에서 종실의 크기와 단백질 및 oil 함량을 조절하는 양적형질유전자좌(QTLs)를 확인하기 위하여 실시하였다. 시험재료로는 큰올콩과 신팔달콩을 교배한 후 $F_2$유래 $F_10$세대의 RIL을 이용하였으며, 이를 바탕으로 종실의 무게와 oil 및 단백질 함량과 관련된 QTLs를 탐색하였다. 종실의 무게와 단백질 및 oil 함량의 협의의 유전력은 각각 0.8과 0.78 및 0.71을 나타내었다. 종실의 무게와 관련된 QTLs는 연관군 F, I와 K의 세 개의 독립적인 QTLs를 확인하였다. 단백질함량과 관련된 QTLs는 연관군 D1b, E, H, I와 L의 다섯 개의 독립적인 QTLs를 확인하였다. 그리고 oil 함량과 관련된 QTLs는 연관군 D1b, E, G, I, J와 N의 여섯 개의 독립적인 QTLs를 확인하였다. oil 및 단백질 함량과 관련된 QTLs는 연관군 D1b, E와 I에서 공통적으로 나타났다. 따라서 이들 주요 QTL은 콩 품종 육성과정에서 품질의 개선하기 위한 선발 마커로서 활용가치가 높은 것으로 판단된다.

A Least Squares Regression Model to Detect Quantitative Trait Loci with Polar Overdominance in a Cross of Outbred Breeds: Simulation

  • Kim, Jong-Joo;Dekkers, Jack C.M.
    • Asian-Australasian Journal of Animal Sciences
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    • 제26권11호
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    • pp.1536-1544
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    • 2013
  • A least squares regression interval mapping model was derived to detect quantitative trait loci (QTL) with a unique mode of genomic imprinting, polar overdominance (POD), under a breed cross design model in outbred mammals. Tests to differentiate POD QTL from Mendelian, paternal or maternal expression QTL were also developed. To evaluate the power of the POD models and to determine the ability to differentiate POD from non-POD QTL, phenotypic data, marker data and a biallelic QTL were simulated on 512 F2 offspring. When tests for Mendelian versus parent-of-origin expression were performed, most POD QTL were classified as partially imprinted QTL. The application of the series of POD tests showed that more than 90% and 80% of medium and small POD QTL were declared as POD type. However, when breed-origin alleles were segregating in the grand parental breeds, the proportion of declared POD QTL decreased, which was more pronounced in a mating design with a small number of parents ($F_0$ and $F_1$). Non-POD QTL, i.e. with Mendelian or parent-of-origin expression (complete imprinting) inheritance, were well classified (>90%) as non-POD QTL, except for QTL with small effects and paternal or maternal expression in the design with a small number of parents, for which spurious POD QTL were declared.

콩 Cyst 선충 Race 5에 대한 저항성 QTL 탐색 (Identification of Quantitative Trait Loci for Resistance to Soybean Cyst Nematode Race 5)

  • Choi, In-Soo;Kim, Yong-Chul;Kim, Sung-Man;Lee, Chung-Yeol;Park, Hyean-Cheal;Halina T. Skorupska
    • 한국작물학회지
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    • 제42권6호
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    • pp.712-721
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    • 1997
  • 콩 품종 Essex와 PI 437654간 교잡 후 F$_2$유래 F$_3$ 계통들을 재료로 하여 작성된 RAPD 유전자지도상에 cyst 선충 race 5에 대한 저항성 QTLs 분석을 실시한 바 결과를 요약하면 다음과 같다. 1. 회귀분석 결과 26개의 marker들(22 RAPD, 4 RFLP)에서 cyst 선충 race 5 저항성 반응에 대한 유의성이 인정되었다. 2. MAPMAKER /QTL 분석 결과2개의 저항성 QTL들이 탐색되었는데, 이 QTL들은 2개의 linkage groups(LGC-20와 Group 2)에 위치하였다. 3. 탐색된 2개의 QTL들 중 1개는 우성유전, ?고 나머지 하나는 열성유전양상을 나타내었다. 4. 콩 cyst 선충 race 5의 저항성에 대한 유의성이 인정되는 5개의 marker들간 상호작용을 알아보기 위한 다중회귀분석 결과 총 26개의 조합들 중 4개의 marker들(E02$^3$, G$10^1$, W03, pK418C)로 구성된 조합에서 가장 높은 표리적 변이의 값(35.2%)을 나타내었다.

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대두 종자크기에 대한 QTL의 consistency (Consistency of QTLs for Soybean Seed Size across Generations)

  • 정종일
    • 생명과학회지
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    • 제7권4호
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    • pp.358-360
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    • 1997
  • 대두 종자크기에 대한 QTL의 consistency을 알아보기 위하여 F$_{2}$, F$_{3}$ 세대에서의 분석결과를 요약하면 댜음과 같다. 세 개의 마크 OTL09a, OPM07a, OPAC12 가 F$_{2} 세대에서 종자 크기에 대한 QTL과 높은 유의성을 나타내었고, F$_{3}$ 세애데는 네 개의 마크 OTL09a, OPG19a, OPL09b, OPP11가 유의성을 나타내었다. 두 개의 마크 OPL09a, OPL09b 가 두 세대에서 유의성을 나타애어 종자 크기에 대한 QTL의 consistency가 인정되었다.

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Methodology of Mapping Quantitative Trait Loci for Binary Traits in a Half-sib Design Using Maximum Likelihood

  • Yin, Zongjun;Zhang, Qin;Zhang, Jigang;Ding, Xiangdong;Wang, Chunkao
    • Asian-Australasian Journal of Animal Sciences
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    • 제18권12호
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    • pp.1669-1674
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    • 2005
  • Maximum likelihood methodology was applied to analyze the efficiency and statistical power of interval mapping by using a threshold model. The factors that affect QTL detection efficiency (e.g. QTL effect, heritability and incidence of categories) were simulated in our study. Daughter design with multiple families was applied, and the size of segregating population is 500. The results showed that the threshold model has a great advantage in parameters estimation and power of QTL mapping, and has nice efficiency and accuracy for discrete traits. In addition, the accuracy and power of QTL mapping depended on the effect of putative quantitative trait loci, the value of heritability and incidence directly. With the increase of QTL effect, heritability and incidence of categories, the accuracy and power of QTL mapping improved correspondingly.

Detection of Mendelian and Parent-of-origin Quantitative Trait Loci in a Cross between Korean Native Pig and Landrace I. Growth and Body Composition Traits

  • Kim, E.H.;Choi, B.H.;Kim, K.S.;Lee, C.K.;Cho, B.W.;Kim, T.-H.;Kim, J.-J.
    • Asian-Australasian Journal of Animal Sciences
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    • 제20권5호
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    • pp.669-676
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    • 2007
  • This study was conducted to detect quantitative trait loci (QTL) affecting growth and body composition in an $F_2$ reference population of Korean native pig and Landrace crossbreds. The three-generation mapping population was generated with 411 progeny from 38 $F_2$ full-sib families, and 133 genetic markers were used to produce a sex-average map of the 18 autosomes. The data set was analyzed using least squares Mendelian and parent-of-origin interval-mapping models. Lack-of-fit tests between the models were used to characterize QTL for mode of expressions. A total of 8 (39) QTL were detected at the 5% genome (chromosome)-wise level for the 17 analyzed traits. Of the 47 QTL detected, 21 QTL were classified as Mendelian expressed, 13 QTL as paternally expressed, 6 QTL as maternally expressed, and 7 QTL as partially expressed. Of the detected QTL at 5% genome-wise level, two QTL had Mendelian mode of inheritance on SSC6 and SSC9 for backfat thickness and bone weight, respectively, two QTL were maternally expressed for leather weight and front leg weight on SSC6 and SSC12, respectively, one QTL was paternally expressed for birth weight on SSC4, and three QTL were partially expressed for hot carcass weight and rear leg weight on SSC6, and bone weight on SSC13. Many of the Mendelian QTL had a dominant (complete or overdominant) mode of gene action, and only a few of the QTL were primarily additive, which reflects that heterosis for growth is appreciable in a cross between Korean native pig and Landrace. Our results indicate that alternate breed alleles of growth and body composition QTL are segregating between the two breeds, which could be utilized for genetic improvement of growth via marker-assisted selection.

ERp29 유전자 발현과 관련된 long noncoding RNA LOC105372577의 전장 유전체 연관성 분석 (The Association of Long Noncoding RNA LOC105372577 with Endoplasmic Reticulum Protein 29 Expression: A Genome-wide Association Study)

  • 이소연;권기상;고영화;권오유
    • 생명과학회지
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    • 제31권6호
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    • pp.568-573
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    • 2021
  • 본 연구는 전장 유전체 연관성 분석(genome-wide association study, GWAS)을 통해 ERp29의 mRNA 발현과 관련된 유전좌위(expression quantitative trait loci, eQTL)을 식별하는 것을 목표로 하였다. 대상 유전자는 ERp29이다. ERp29는 소포체(ER)의 lumen에 단백질의 folding & assembly 기능을 가진 분자 chaperone 단백질로서 소포체 스트레스에 의해 발현량이 증가하며, 분비 단백질의 생합성에 관여한다. 최근 연구 결과 발암과 연관성이 알려지면서 주목을 받고 있다. 총 373명의 유럽인의 genome을 대상으로 GWAS 분석 결과, ERp29 유전자 발현은 정소와 뇌에서 강하게 발현하는 long noncoding RNA (LncRNA) LOC105372577과 관계가 있었다. 즉, 3개의 eQTL: rs6138266 (p<4.172e10-9), rs62193420 (p<1.173e10-8), rs6138267 (p<2.041e10-8)와 연관성이 깊은 것으로 밝혀졌다. ERp29의 발현과 연관이 있는 것으로 확인된 3개의 eQTL을 사용한 transcriptome-wide association study (TWAS) 결과 osteosarcoma amplified 9 (OS9) 발현과 유의한 연관성을 보이며 OS9 유전자의 up-stream에 upstream of transcription factor 1 (USF1)이 결합할 수 있는 것을 알았다.

Detection of QTL for Carcass Quality on Chromosome 6 by Exploiting Linkage and Linkage Disequilibrium in Hanwoo

  • Lee, J.H.;Li, Y.;Kim, J.J.
    • Asian-Australasian Journal of Animal Sciences
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    • 제25권1호
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    • pp.17-21
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    • 2012
  • The purpose of this study was to improve mapping power and resolution for the QTL influencing carcass quality in Hanwoo, which was previously detected on the bovine chromosome (BTA) 6. A sample of 427 steers were chosen, which were the progeny from 45 Korean proven sires in the Hanwoo Improvement Center, Seosan, Korea. The samples were genotyped with the set of 2,535 SNPs on BTA6 that were imbedded in the Illumina bovine 50 k chip. A linkage disequilibrium variance component mapping (LDVCM) method, which exploited both linkage between sires and their steers and population-wide linkage disequilibrium, was applied to detect QTL for four carcass quality traits. Fifteen QTL were detected at 0.1% comparison-wise level, for which five, three, five, and two QTL were associated with carcass weight (CWT), backfat thickness (BFT), longissimus dorsi muscle area (LMA), and marbling score (Marb), respectively. The number of QTL was greater compared with our previous results, in which twelve QTL for carcass quality were detected on the BTA6 in the same population by applying other linkage disequilibrium mapping approaches. One QTL for LMA was detected on the distal region (110,285,672 to 110,633,096 bp) with the most significant evidence for linkage (p< $10^{-5}$). Another QTL that was detected on the proximal region (33,596,515 to 33,897,434 bp) was pleiotrophic, i.e. influencing CWT, BFT, and LMA. Our results suggest that the LDVCM is a good alternative method for QTL fine-mapping in detection and characterization of QTL.

QTL Analysis of Soybean Seed Weight Using RAPD and SSR Markers

  • Chung, Jong-Il;Ko, Mi-Suk;Kang, Jin-Ho
    • Plant Resources
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    • 제3권3호
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    • pp.184-193
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    • 2000
  • Soybean [Glycine max (L.) Merr.] seed weight is a important trait in cultivar development. Objective of this study was to identify and confirm quantitative trait loci (QTLs) for seed weight variation in the F2 and F2:3 generations. QTLs for seed weight were identified in F2 and F2:3 generations using interval mapping (MapMaker/QTL) and single-factor analysis of variance (ANOVA). In the F2 plant generation (i.e., F3 seed), three markers, OPL9a, OPM7a, and OPAC12 were significantly (P<0.01) associated with seed weight QTLs. In the F2:3 plant row generation (i.e., F4 seed), five markers, OPA9a, OPG19, OPL9b, OPP11, and Sat_085 were significantly (P<0.01) associated with seed weight QTLs. Two markers, OPL9a and OPL9b were significantly (P<0.05) associated with seed weight QTLs in both generations. Two QTLs on USDA soybean linkage group C1 and R were identified in both F2 and F2:3 generations using interval mapping. The linkage group C1 QTL explained 16% of the variation in seed weight in both generations, and the linkage group R QTL explained 39% and 41% of the variation for F2 and F2:3 generation, respectively. The linkage group C2 QTL identified in F2:3 generation explained 14.9% of variation. Linkage groups C1, C2 and R had previously been identified as harbouring seed size QTLs. The consistency of QTLs across generations and populations indicates that marker-assisted selection is possible in a soybean breeding program.

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