• Journal of Animal Science and Technology
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• 제44권3호
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• pp.279-288
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• 2002

본 연구는 국내 홀스타인 젖소 보증종모우 16두와 후보종모우 93두를 이용하여 선천성 장애 유전자의 검색을 통하여 불량 유전자의 존재 유무를 판별함과 동시에 가축의 선발 및 육종, 개량시 기초자료로 제공하고자 하는데 그 목적이 있으며, 본 연구의 결과를 요약하면 아래와 같다. 공시재료(홀스타인 젖소 보증종모우 16두, 후보 종모우 93두) 109두에 대하여 DUMPS (deficiency of uridine monophophate synthase)의 검색결과 모든 개체에서 DUMPS 유전자를 보유하는 개체는 없는 것으로 판명되었다. 또한 PCR-RFLP(Ava I) 방법에 의해 조기 검색이 가능하게 되었다. 한편, BLAD(bovine leukocyte adhesion deficiency) 검색결과, 보증종모우 16두에서는 검출되지 않았으나, 후보우 93두중 5두에서 BLAD 잠재성 보유개체(carrier)로 판명되었고, 혈통확인을 통하여 BLAD 유전자의 전이 경로를 추정할 수 있었으며, PCR 증폭산물에 대한 제한효소 처리시 HaeⅢ 보다는 TaqⅠ 제한효소를 사용하였을 때 더 효율적으로 판명할 수 있는 것으로 나타났다. Citrullinemia 검색결과 보증종모우 16두 및 후보종모우 93두 모두에서 잠재성 보유개체는 없는 것으로 판명되었으나 citrullinemia에 대한 폭넓고 다양한 조사 및 분석이 이루어져야 할 것으로 사료된다. 본 연구의 결과로 미루어 볼 때 가축의 유전성 질환에 대한 다양하고 폭넓은 연구가 이루어 져야 할 것으로 사료되며, 가축의 선발과 육종, 개량에 있어서 지속적이며 혈통의 철저한 관리를 통한 개량의 방향을 설정하여야 할 것으로 판명되었다.

• Asian-Australasian Journal of Animal Sciences
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• 제18권2호
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• pp.165-169
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• 2005

This study was performed to offer effective basic data for selection and improvement of Korean dairy cattle through identifying distributional properties among candidate genes (bovine butyrophilin, signal transducers and activators of transcription 5a, and prolactin hormone). In this study, polymorphisms of candidate genes were identified and the relationships between loci and production traits of each gene were analyzed using frozen semen of Holstein bulls (19 proven and 77 candidates). In butyrophilin (BTN) locus, polymorphisms information contents (PIC) value of BTN2 (0.372) was higher than those of others (BTN1; 0.155, BTN3; 0.254, BTN4; 0.169). As a result of analysis of genotyping STAT5a, using single stranded conformational polymorphism (SSCP) method and microsatellite locus, PIC values were 0.189 and 0.457, respectively. And PIC value of prolactin hormone gene was 0.176. In the relationships between genotypes and production traits, BTN3 was associated with 305-day production traits (p<0.05). PTAs for B allele were such as 110.43, 88.28 and 75.25 in BTN1, 3, 4 and these values were higher than those of A allele, but in the case of BTN2, A allele with 154.19 was higher than that of B allele. The results obtained from using candidate genes may be used as an useful index for the genetic improvement of dairy cattle population in Korea, and further studies are needed.

• Asian-Australasian Journal of Animal Sciences
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• 제15권7호
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• pp.938-943
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• 2002

This study was perfonned to detect polymorphisms of the two candidate genes, bovine BTN (Butyrophilin) and ST AT5a (Signal Transducers and Activators of Transcription) gene using 98 Holstein bulls' frozen semen, and to offer the basic information for QTL (Quantitative Trait Loci) analysis. Each BTN PCR product was digested with endonuclease restriction enzyme. The digested fragments of four BTN PCR products were observed as follows: 316,280, and 162 bp in BTN1, 568, 305 and 263 bp in BTN2, 576, 332, and 244 bp in BTN3, and 573, 291, and 282 bp in BTN4, respectively. The gene frequencies of A and B allele in four BTN loci were as follows: 0.8980 and 0.1020 in BTN1, 0.5510 and 0.4490 in BTN2, 0.8163 and 0.1837 in BTN3, and 0.8875 and 0.1122 in BTN4, respectively. And three genotypes (homotypel, heterotype, and homotype2) for STAT5a were observed by SSCP (single stranded conformational polymorphism) method and the genotype frequencies are 78.57%, 19.39%, and 2.04%, respectively. The PlC (Polymorphism Information Content) value and heterozygosity of four BTN loci were as follows: 0.1695 and 0.1870 in BTN1, 0.3713 and 0.4927 in BTN2, 0.2549 and 0.2999 in BTN3, and 0.1794 and 0.1992 in BTN4, respectively. Comparing with the reported data, PlC value of BTN2 might have the possibility to be useful marker. Other BTN loci indicated skewed allele distribution.

• 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.