• Asian-Australasian Journal of Animal Sciences
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• 제29권1호
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• pp.36-42
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• 2016

Milk-related traits (milk yield, fat and protein) have been crucial to selection of Holstein. It is essential to find the current selection trends of Holstein. Despite this, uncovering the current trends of selection have been ignored in previous studies. We suggest a new formula to detect the current selection trends based on single nucleotide polymorphisms (SNP). This suggestion is based on the best linear unbiased prediction (BLUP) and the Fisher's fundamental theorem of natural selection both of which are trait-dependent. Fisher's theorem links the additive genetic variance to the selection coefficient. For Holstein milk production traits, we estimated the additive genetic variance using SNP effect from BLUP and selection coefficients based on genetic variance to search highly selective SNPs. Through these processes, we identified significantly selective SNPs. The number of genes containing highly selective SNPs with p-value <0.01 (nearly top 1% SNPs) in all traits and p-value <0.001 (nearly top 0.1%) in any traits was 14. They are phosphodiesterase 4B (PDE4B), serine/threonine kinase 40 (STK40), collagen, type XI, alpha 1 (COL11A1), ephrin-A1 (EFNA1), netrin 4 (NTN4), neuron specific gene family member 1 (NSG1), estrogen receptor 1 (ESR1), neurexin 3 (NRXN3), spectrin, beta, non-erythrocytic 1 (SPTBN1), ADP-ribosylation factor interacting protein 1 (ARFIP1), mutL homolog 1 (MLH1), transmembrane channel-like 7 (TMC7), carboxypeptidase X, member 2 (CPXM2) and ADAM metallopeptidase domain 12 (ADAM12). These genes may be important for future artificial selection trends. Also, we found that the SNP effect predicted from BLUP was the key factor to determine the expected current selection coefficient of SNP. Under Hardy-Weinberg equilibrium of SNP markers in current generation, the selection coefficient is equivalent to $2^*SNP$ effect.

• Journal of Animal Science and Technology
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• 제51권5호
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• pp.345-352
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• 2009

본 연구는 1998부터 2007년도까지 수집된 국내 홀스타인종 22,175두의 15개 형질에 대한 332,625개의 선형심사 점수, 22,175개의 최종점수와 84,612개의 혈통정보를 이용하여 유전모수를 추정하기 위해 실시하였다. 유전 및 오차 분산－공분산은 16개 형질에서 2개 형질씩 짝을 지어 총 225개 형질조합에 대하여 이형질(二形質) 모형을 이용하여 DFREML 패키지로 추정하였다. 키(ST), 강건성(STR), 체심(BD), 예각성(DF), 엉덩이 기울기(RA), 엉덩이 너비(TW), 옆에서 본 뒷다리(RLSV), 발굽기울기(FA), 앞유방의 붙음성(FUA), 뒷유방의 부착높이(RUH), 뒷유방의 너비(RUW), 정중제인대(UC), 유방의 깊이(UD), 뒤에서 본 앞유두의 배열위치(FTP), 앞유두의 길이(FTL) 그리고 최종점수(FS)에 대한 유전력은 각각 0.31, 0.21, 0.25, 0.10, 0.29, 0.19, 0.09, 0.06, 0.1, 0.293, 0.1, 0.20, 0.196 0.190, 0.28 그리고 0.15로 추정되었다. 키는 강건성과 0.9 의 가장 높은 정(+)의 상관을 나타냈다. 반면, 옆에서 본 뒷다리는 발굽기울기와 -0.56의 가장 높은 부(-)의 상관을 나타냈다. 엉덩이 기울기는 정중제인대를 제외한 유방형질과 -0.17에서 -0.02의 부 (-)의 상관을 보였다. 특히 뒷유방의 너비는 강건성(0.60), 체심(0.62), 엉덩이 너비(0.49)와 높은 정(+)의 유전상관을 나타냈다. 반면, 유방 깊이는 강건성(-0.4), 체심(-0.4)과 높은 부(-)의 유전상관을 보였다. 앞유두의 길이는 앞유방의 붙음성, 뒷유방의 부착높이, 뒷유방의 너비, 정중제인대 그리고 유방의 깊이와 모두 부(-)의 유전상관을 나타냈다. 최종점수는 정중제인대(0.12), 유방의 깊이(0.18), 그리고 뒤에서 본 앞유두의 배열위치(0.2)와 정(+)의 유전상관을 보였다. 하지만 유전 및 잔차 분산-공분산 행렬이 양정치 행렬이 아닌 것으로 나타났기 때문에 유전능력평가에 이용하기위해서는 주의가 필요하며, 모든 형질에 대한 유전상관을 동시에 추정하는 등의 추가적인 연구가 필요할 것으로 사료되었다.

• Journal of Animal Science and Technology
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• 제51권4호
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• pp.289-294
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• 2009

본 연구는 한우 inositol 1,4,5-triphosphate receptor type1(IP3R1) 유전자를 대상으로 SNP를 발굴하고, 도체형질과의 관련성 분석을 위하여 수행하였다. PCR 및 염기서열 결정법을 통해 IP3R1 유전자내 3개의 SNP를 발굴하였고, 이중 intron 29에 위치하는 SNP의 경우 미 보고된 신규 SNP로 확인되었다. 발굴된 3개의 SNP를 대상으로 표현형 기록치를 보유한 후대검정우 583두에 대하여 유전자형 분석 및 관련성 분석을 수행하였다. 분석결과 3개의 SNP 중 g.1428617A>G SNP가 생시체중(P<0.05) 및 도체중(P<0.01)과 유의적인 상관관계가 있음을 확인할 수 있었다. 이러한 결과는 추후 한우 개량을 위한 유전자 마커로 활용이 가능할 것으로 판단된다.

• Asian-Australasian Journal of Animal Sciences
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• 제31권2호
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• pp.157-162
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• 2018

Objective: The aim of this study is to identify single nucleotide polymorphisms (SNPs) and genes related to pig IMF and estimate the heritability of intramuscular fat content (IMF). Methods: Genome-wide association study (GWAS) on 704 inbred Berkshires was performed for IMF. To consider the inbreeding among samples, associations of the SNPs with IMF were tested as random effects in a mixed linear model using the genetic relationship matrix by GEMMA. Significant genes were compared with reported pig IMF quantitative trait loci (QTL) regions and functional classification of the identified genes were also performed. Heritability of IMF was estimated by GCTA tool. Results: Total 365 SNPs were found to be significant from a cutoff of p-value <0.01 and the 365 significant SNPs were annotated across 120 genes. Twenty five genes were on pig IMF QTL regions. Bone morphogenetic protein-binding endothelial cell precursor-derived regulator, forkhead box protein O1, ectodysplasin A receptor, ring finger protein 149, cluster of differentiation, tyrosine-protein phosphatase non-receptor type 1, SRY (sex determining region Y)-box 9 (SOX9), MYC proto-oncogene, and macrophage migration inhibitory factor were related to mitogen-activated protein kinase pathway, which regulates the differentiation to adipocytes. These genes and the genes mapped on QTLs could be the candidate genes affecting IMF. Heritability of IMF was estimated as 0.52, which was relatively high, suggesting that a considerable portion of the total variance of IMF is explained by the SNP information. Conclusion: Our results can contribute to breeding pigs with better IMF and therefore, producing pork with better sensory qualities.

• Asian-Australasian Journal of Animal Sciences
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• 제30권10호
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• pp.1372-1381
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• 2017

Objective: Our study provides information on phenotypes of local chickens and guinea fowl and their body measures as well as on major genes in local chickens in northern Ghana. Methods: Qualitative and morphometric traits were recorded on 788 local chickens and 394 guinea fowl in urban households in Tamale, Ghana. Results: The results showed considerable variation of color traits and numerous major genes in local chickens, while color variations and related genotypes in guinea fowl were limited. In local chickens, white was preferred for plumage, whereas dark colors were preferred for beak and shanks. More than half of the chickens carried at least one major gene, but the contributions of single gene carriers were low. All calculated allele frequencies were significantly lower than their expected Mendelian allele frequencies. We observed higher mean body weight and larger linear body measures in male as compared to female chickens. In female chickens, we detected a small effect of major genes on body weight and chest circumference. In addition, we found some association between feather type and plumage color. In guinea fowl, seven distinct plumage colors were observed, of which pearl grey pied and pearl grey were the most prevalent. Male pearl grey pied guinea fowl were inferior to pearl grey and white guinea fowl in terms of body weight, body length and chest circumference; their shank length was lower than that of pearl grey fowl. Conclusion: Considerable variation in qualitative traits of local chickens may be indicative of genetic diversity within local chicken populations, but major genes were rare. In contrast, phenotypic and genetic diversity in local guinea fowl is limited. Broader genetic diversity studies and evaluation of trait preferences of local poultry producers are required for the design of appropriate breeding programs.

• Asian-Australasian Journal of Animal Sciences
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• 제31권8호
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• pp.1098-1102
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• 2018

Objective: Temperament can be defined as a type of behavioral tendency that appears in a relatively stable manner in responses to various external stimuli over time. The aim of this study was to estimate genetic parameters for the records of temperament testing that are used to improve the temperament of Jeju crossbred (Jeju${\times}$Thoroughbred) horses. Methods: This study was conducted using 205 horses (101 females and 104 males) produced between 2010 and 2015. The experimental animals were imprinted and tamed according to the Manual for Horse Taming and Evaluation for Therapeutic Riding Horses and evaluated according to the categories for temperament testing (gentleness, patience, aggressiveness, sensitivity, and friendliness) between 15 months and 18 months of age. Each category was scored on a five-point linear scale. Genetic parameters for the test categories were analyzed using a multi-trait mixed model with repeated records. The ASReml program was used to analyze the data. Results: The heritability of gentleness, patience, aggressiveness, sensitivity and friendliness ranged from 0.08 to 0.53. The standard errors of estimated heritability ranged from 0.13 to 0.17. The test categories showed high genetic correlations with each other, ranging from 0.96 to 0.99 and high repeatability, ranging from 0.70 to 0.73. Conclusion: The results of this study showed that the test categories had moderate heritability and high genetic correlations, but additional studies may be necessary to use the results for the improvement programs of the temperament of Jeju crossbred horses.

• Asian-Australasian Journal of Animal Sciences
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• 제33권10호
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• pp.1544-1557
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• 2020

Objective: Genomic selection (GS) is becoming popular in animals' genetic development. We, therefore, investigated the single-step genomic best linear unbiased prediction (ssGBLUP) as tool for GS, and compared its efficacy with the traditional pedigree BLUP (pedBLUP) method. Methods: A total of 9,952 males born between 1997 and 2018 under Hanwoo proven-bull selection program was studied. We analyzed body weight at 12 months and carcass weight (kg), backfat thickness, eye muscle area, and marbling score traits. About 7,387 bulls were genotyped using Illumina 50K BeadChip Arrays. Multiple-trait animal model analyses were performed using BLUPF90 software programs. Breeding value accuracy was calculated using two methods: i) Pearson's correlation of genomic estimated breeding value (GEBV) with EBV of all animals (r_M1) and ii) correlation using inverse of coefficient matrix from the mixed-model equations (r_M2). Then, we compared these accuracies by overall population, info-type (PHEN, phenotyped-only; GEN, genotyped-only; and PH+GEN, phenotyped and genotyped), and bull-types (YBULL, young male calves; CBULL, young candidate bulls; and PBULL, proven bulls). Results: The r_M1 estimates in the study were between 0.90 and 0.96 among five traits. The r_M1 estimates varied slightly by population and info-type, but noticeably by bull-type for traits. Generally average r_M2 estimates were much smaller than r_M1 (pedBLUP, 0.40 to0.44; ssGBLUP, 0.41 to 0.45) at population level. However, r_M2 from both BLUP models varied noticeably across info-types and bull-types. The ssGBLUP estimates of r_M2 in PHEN, GEN, and PH+ GEN ranged between 0.51 and 0.63, 0.66 and 0.70, and 0.68 and 0.73, respectively. In YBULL, CBULL, and PBULL, the r_M2 estimates ranged between 0.54 and 0.57, 0.55 and 0.62, and 0.70 and 0.74, respectively. The pedBLUP based r_M2 estimates were also relatively lower than ssGBLUP estimates. At the population level, we found an increase in accuracy by 2.0% to 4.5% among traits. Traits in PHEN were least influenced by ssGBLUP (0% to 2.0%), whereas the highest positive changes were in GEN (8.1% to 10.7%). PH+GEN also showed 6.5% to 8.5% increase in accuracy by ssGBLUP. However, the highest improvements were found in bull-types (YBULL, 21% to 35.7%; CBULL, 3.3% to 9.3%; PBULL, 2.8% to 6.1%). Conclusion: A noticeable improvement by ssGBLUP was observed in this study. Findings of differential responses to ssGBLUP by various bulls could assist in better selection decision making as well. We, therefore, suggest that ssGBLUP could be used for GS in Hanwoo proven-bull evaluation program.

• 농업생명과학연구
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• 제51권6호
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• pp.89-105
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• 2017

본 연구는 부모의 혈통정보를 모두 아는 혈통 및 고등등록우로 등록된 한우 암소 25,516두의 선형 및 외모심사형질에 대해 유전모수를 추정하였다. 각 심사형질에 영향을 주는 것으로 판단되는 주요인을 선정하여 다형질 개체모형에 적용하여 EM-REML 알고리즘 분석방법을 통해 각 형질에 대한 유전력과 유전상관과 표현형상관을 추정하였다. 한우 암소의 17개 선형심사형질 및 10개 외모심사형질(종합점수 포함)의 유전력 추정치의 범위는 0.03(유두배열)에서 0.42(체장)까지로 추정되었다. 체고, 체장, 강건성, 체심, 윤곽성, 정강이두께, 피모의 색, 엉덩이기울기, 고장, 좌골폭, 넓적다리의 두께, 유방용적, 유두길이, 유두배열, 발굽기울기, 뒷다리 비절기울기, 뒤에서 본 뒷다리자세, 체적 균형, 자질 품위, 머리 목, 전구, 중구, 엉덩이, 넓적다리, 유기, 지제보양 및 종합점수의 유전력은 각각 0.4, 0.42, 0.27, 0.25, 0.06, 0.14, 0.22, 0.31, 0.19, 0.17, 0.29, 0.04, 0.07, 0.02, 0.11, 0.03, 0.16, 0.27, 0.08, 0.15, 0.14, 0.14, 0.19, 0.16, 0.05, 0.08 및 0.3으로 추정되었다. 한편, 다형질개체모형에 의해 추정된 17개 선형심사형질과 종합점수에 대한 유전상관추정 결과는 다음과 같다. 고장과 좌골폭간에 0.96의 가장 강한 양(+)의 유전적 관계를 나타내었다. 반면 발굽기울기와 뒷다리 비절기울기간에는 -0.57의 가장 큰 음(-)의 유전상관을 보였다. 전체외모 형질인 체고, 체장, 간겅성 및 체심은 각 형질간에, 그리고 기타 형질들과 강한 양(+)의 유전상관관계를 나타내었다. 특히 체고 및 체심과 고장 및 좌골폭간에 높은 양(+)의 상관관계를 나타내었으며, 체고와 엉덩이기울기간에는 0.32의 양(+)의 상관을 나타내었다.

• Asian-Australasian Journal of Animal Sciences
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• 제31권10호
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• pp.1565-1574
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• 2018

Objective: The aim of the present study was to identify genetic variants based on RNA-seq data, obtained via transcriptome sequencing of muscle tissue of pigs differing in muscle histological structure, and to verify the variants' effect on histological microstructure and production traits in a larger pig population. Methods: RNA-seq data was used to identify the panel of single nucleotide polymorphisms (SNPs) significantly related with percentage and diameter of each fiber type (I, IIA, IIB). Detected polymorphisms were mapped to quantitative trait loci (QTLs) regions. Next, the association study was performed on 944 animals representing five breeds (Landrace, Large White, Pietrain, Duroc, and native Puławska breed) in order to evaluate the relationship of selected SNPs and histological characteristics, meat quality and carcasses traits. Results: Mapping of detected genetic variants to QTL regions showed that chromosome 14 was the most overrepresented with the identification of four QTLs related to percentage of fiber types I and IIA. The association study performed on a 293 longissimus muscle samples confirmed a significant positive effect of transforming acidic coiled-coil-containing protein 2 (TACC2) polymorphisms on fiber diameter, while SNP within forkhead box O1 (FOXO1) locus was associated with decrease of diameter of fiber types IIA and IIB. Moreover, subsequent general linear model analysis showed significant relationship of FOXO1, delta 4-desaturase, sphingolipid 1 (DEGS1), and troponin T2 (TNNT2) genes with loin 'eye' area, FOXO1 with loin weight, as well as FOXO1 and TACC2 with lean meat percentage. Furthermore, the intramuscular fat content was positively associated (p<0.01) with occurrence of polymorphisms within DEGS1, TNNT2 genes and negatively with occurrence of TACC2 polymorphism. Conclusion: This study's results indicate that the SNP calling analysis based on RNA-seq data can be used to search candidate genes and establish the genetic basis of phenotypic traits. The presented results can be used for future studies evaluating the use of selected SNPs as genetic markers related to muscle histological profile and production traits in pig breeding.

• 한국자원식물학회:학술대회논문집
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• 한국자원식물학회 2019년도 춘계학술대회
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• pp.64-64
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• 2019

In order to evaluate the taxonomical relevance of seeds morphological characteristics, a macroand micro-morphological study was conducted on seeds of Korean Vicia (Fabacea). We collected 19 taxa of genus Vicia distributed in Korea and introduced one taxa from USDA. The morphological characteristic and testa texture of seeds were investigated using a Stereo-microscope (SM) and Scanning Electron Microscope (SEM). Most of Vicia seeds were found spherical or oblong and some seeds were oval and subglose. The largest seed was V. chosenensis ($4.3{\times}3.6{\times}2.6mm$), and the smallest was V. teterasperma ($1.7{\times}1.7{\times}1.5mm$). V. chosenensis and V. hirsuta were separated from other Vicia species by having a shiny in seed finish. In hilum shape, 14 species have linear and V. sepium was distinguished by having a circumlinear. In testa texture, they developed papilae, only V. hirsuta has lophate in level type. Deposition of the sheet-like debris between the papilae was observed in V. chosenensis, V. cracca, and V. unijuga. Polymorphism information content (PIC) values of the 13 qualitative morphological characters (QMC) were in the range of 0.0950 to 8863 with an average of 0.4611. PIC value of seed shape, seed colour, hilum colour were 0.7403, 0.8177, 0.883 respectively. Cluster analysis based on QMC detected three main clades. V. cracca, V. amurensis, V. amoena were involved in Group 1 and V. unijuga f. minor, V. unijuga, V. unijuga f. angustifolia, V. sepium, V. hirticalycina, V. hirsuta, V. linearfolia, V. chosenensis, V. pseudorobus, V. venosa var. cuspidata were involved in Group 2. V. nipponica, V. japonica, V. villosa, V. dasicarpa, V. bungei, V. angustifolia, V. tetrasperma were clustered in Group 3. Our research suggests that morphological characteristic and testa texture of seeds could be used as definers for the identification of genus Vicia.