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HONG MINWOOK, CHOI SOYOUNG, SINGH NARESHKUMAR, KIM HUN, YANG SONGYI, KWAK KYEONGROK, KIM JONGBOK, LEE SUNGJIN. Genome-wide association analysis to identify QTL for carcass traits in Hanwoo (Korean native cattle). THE INDIAN JOURNAL OF ANIMAL SCIENCES 2019. [DOI: 10.56093/ijans.v89i1.86384] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
A genome-wide association study (GWAS) was performed to investigate the genetic markers associated with carcass traits of Hanwoo (Bos taurus coreanae) steer in the Gangwon region of Korea. Hanwoo steer (139) from the Gangwon region were genotyped with Bovine SNP50K BeadChip, and 35,769 SNPs were analyzed for five specific carcass traits after applying several filters. A total of seven quantitative trait loci were detected, of which four, one, and 2 SNPs were detected on various B. taurus autosomal chromosomes (BTA) by the respective model. The four significant SNPs associated with backfat thickness were ARS-BFGL-NGS–41475 on BTA 5, ARS-BFGLNGS- 36359 on BTA 19, ARS-BFGL-NGS-56813 on BTA 22, and Hapmap25048-BTA-138242 on BTA 25. Among the detected SNPs, one and two SNPs were associated with marbling score (ARS-BFGL-NGS-110066 on BTA 23) and meat colour (BTB-01920239 on BTA 15 and ARS-BFGL-NGS-24934 on BTA 18). In this GWAS, we identified three positional candidate genes for carcass traits, backfat thickness (Fibulin-2, FBLN2; Sorting nexin 29, SNX29) and meat colour (WW domain containing oxidoreductase, WWOX). Our results suggest that the candidate SNP markers do affect the genomic selection of associated carcass traits for Hanwoo in the Gangwon region.
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Xia J, Fan H, Chang T, Xu L, Zhang W, Song Y, Zhu B, Zhang L, Gao X, Chen Y, Li J, Gao H. Searching for new loci and candidate genes for economically important traits through gene-based association analysis of Simmental cattle. Sci Rep 2017; 7:42048. [PMID: 28169328 PMCID: PMC5294460 DOI: 10.1038/srep42048] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2016] [Accepted: 01/06/2017] [Indexed: 12/26/2022] Open
Abstract
Single-marker genome-wide association study (GWAS) is a convenient strategy of genetic analysis that has been successful in detecting the association of a number of single-nucleotide polymorphisms (SNPs) with quantitative traits. However, analysis of individual SNPs can only account for a small proportion of genetic variation and offers only limited knowledge of complex traits. This inadequacy may be overcome by employing a gene-based GWAS analytic approach, which can be considered complementary to the single-SNP association analysis. Here we performed an initial single-SNP GWAS for bone weight (BW) and meat pH value with a total of 770,000 SNPs in 1141 Simmental cattle. Additionally, 21836 cattle genes collected from the Ensembl Genes 83 database were analyzed to find supplementary evidence to support the importance of gene-based association study. Results of the single SNP-based association study showed that there were 11 SNPs significantly associated with bone weight (BW) and two SNPs associated with meat pH value. Interestingly, all of these SNPs were located in genes detected by the gene-based association study.
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Affiliation(s)
- Jiangwei Xia
- Institute of Animal Science, Chinese Academy of Agricultural Science, Beijing, China
| | - Huizhong Fan
- Institute of Animal Science, Chinese Academy of Agricultural Science, Beijing, China
| | - Tianpeng Chang
- Institute of Animal Science, Chinese Academy of Agricultural Science, Beijing, China
| | - Lingyang Xu
- Institute of Animal Science, Chinese Academy of Agricultural Science, Beijing, China
| | - Wengang Zhang
- Institute of Animal Science, Chinese Academy of Agricultural Science, Beijing, China
| | - Yuxin Song
- Institute of Animal Science, Chinese Academy of Agricultural Science, Beijing, China
| | - Bo Zhu
- Institute of Animal Science, Chinese Academy of Agricultural Science, Beijing, China
| | - Lupei Zhang
- Institute of Animal Science, Chinese Academy of Agricultural Science, Beijing, China
| | - Xue Gao
- Institute of Animal Science, Chinese Academy of Agricultural Science, Beijing, China
| | - Yan Chen
- Institute of Animal Science, Chinese Academy of Agricultural Science, Beijing, China
| | - Junya Li
- Institute of Animal Science, Chinese Academy of Agricultural Science, Beijing, China
| | - Huijiang Gao
- Institute of Animal Science, Chinese Academy of Agricultural Science, Beijing, China
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Li Y, Kim JJ. Multiple Linkage Disequilibrium Mapping Methods to Validate Additive Quantitative Trait Loci in Korean Native Cattle (Hanwoo). ASIAN-AUSTRALASIAN JOURNAL OF ANIMAL SCIENCES 2015; 28:926-35. [PMID: 26104396 PMCID: PMC4478501 DOI: 10.5713/ajas.15.0077] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/27/2015] [Revised: 03/23/2015] [Accepted: 04/25/2015] [Indexed: 01/11/2023]
Abstract
The efficiency of genome-wide association analysis (GWAS) depends on power of detection for quantitative trait loci (QTL) and precision for QTL mapping. In this study, three different strategies for GWAS were applied to detect QTL for carcass quality traits in the Korean cattle, Hanwoo; a linkage disequilibrium single locus regression method (LDRM), a combined linkage and linkage disequilibrium analysis (LDLA) and a BayesCπ approach. The phenotypes of 486 steers were collected for weaning weight (WWT), yearling weight (YWT), carcass weight (CWT), backfat thickness (BFT), longissimus dorsi muscle area, and marbling score (Marb). Also the genotype data for the steers and their sires were scored with the Illumina bovine 50K single nucleotide polymorphism (SNP) chips. For the two former GWAS methods, threshold values were set at false discovery rate <0.01 on a chromosome-wide level, while a cut-off threshold value was set in the latter model, such that the top five windows, each of which comprised 10 adjacent SNPs, were chosen with significant variation for the phenotype. Four major additive QTL from these three methods had high concordance found in 64.1 to 64.9Mb for Bos taurus autosome (BTA) 7 for WWT, 24.3 to 25.4Mb for BTA14 for CWT, 0.5 to 1.5Mb for BTA6 for BFT and 26.3 to 33.4Mb for BTA29 for BFT. Several candidate genes (i.e. glutamate receptor, ionotropic, ampa 1 [GRIA1], family with sequence similarity 110, member B [FAM110B], and thymocyte selection-associated high mobility group box [TOX]) may be identified close to these QTL. Our result suggests that the use of different linkage disequilibrium mapping approaches can provide more reliable chromosome regions to further pinpoint DNA makers or causative genes in these regions.
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Affiliation(s)
- Yi Li
- School of Biotechnology, Yeungnam University, Gyeongsan 712-749, Korea
| | - Jong-Joo Kim
- School of Biotechnology, Yeungnam University, Gyeongsan 712-749, Korea
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Wang H, Zhang L, Cao J, Wu M, Ma X, Liu Z, Liu R, Zhao F, Wei C, Du L. Genome-Wide Specific Selection in Three Domestic Sheep Breeds. PLoS One 2015; 10:e0128688. [PMID: 26083354 PMCID: PMC4471085 DOI: 10.1371/journal.pone.0128688] [Citation(s) in RCA: 34] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2015] [Accepted: 04/29/2015] [Indexed: 01/01/2023] Open
Abstract
BACKGROUND Commercial sheep raised for mutton grow faster than traditional Chinese sheep breeds. Here, we aimed to evaluate genetic selection among three different types of sheep breed: two well-known commercial mutton breeds and one indigenous Chinese breed. RESULTS We first combined locus-specific branch lengths and di statistical methods to detect candidate regions targeted by selection in the three different populations. The results showed that the genetic distances reached at least medium divergence for each pairwise combination. We found these two methods were highly correlated, and identified many growth-related candidate genes undergoing artificial selection. For production traits, APOBR and FTO are associated with body mass index. For meat traits, ALDOA, STK32B and FAM190A are related to marbling. For reproduction traits, CCNB2 and SLC8A3 affect oocyte development. We also found two well-known genes, GHR (which affects meat production and quality) and EDAR (associated with hair thickness) were associated with German mutton merino sheep. Furthermore, four genes (POL, RPL7, MSL1 and SHISA9) were associated with pre-weaning gain in our previous genome-wide association study. CONCLUSIONS Our results indicated that combine locus-specific branch lengths and di statistical approaches can reduce the searching ranges for specific selection. And we got many credible candidate genes which not only confirm the results of previous reports, but also provide a suite of novel candidate genes in defined breeds to guide hybridization breeding.
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Affiliation(s)
- Huihua Wang
- Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, People’s Republic of China, Beijing, China
| | - Li Zhang
- Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, People’s Republic of China, Beijing, China
| | - Jiaxve Cao
- Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, People’s Republic of China, Beijing, China
| | - Mingming Wu
- Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, People’s Republic of China, Beijing, China
| | - Xiaomeng Ma
- Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, People’s Republic of China, Beijing, China
| | - Zhen Liu
- Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, People’s Republic of China, Beijing, China
| | - Ruizao Liu
- Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, People’s Republic of China, Beijing, China
| | - Fuping Zhao
- Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, People’s Republic of China, Beijing, China
| | - Caihong Wei
- Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, People’s Republic of China, Beijing, China
| | - Lixin Du
- Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, People’s Republic of China, Beijing, China
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Lee JH, Li Y, Kim JJ. Detection of QTL for Carcass Quality on Chromosome 6 by Exploiting Linkage and Linkage Disequilibrium in Hanwoo. ASIAN-AUSTRALASIAN JOURNAL OF ANIMAL SCIENCES 2014; 25:17-21. [PMID: 25049472 PMCID: PMC4092929 DOI: 10.5713/ajas.2011.11337] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/22/2011] [Accepted: 12/06/2011] [Indexed: 11/30/2022]
Abstract
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.
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Affiliation(s)
- J-H Lee
- Gyeongbuk Livestock Research Institute, Yeungju, 750-780, Korea
| | - Y Li
- Gyeongbuk Livestock Research Institute, Yeungju, 750-780, Korea
| | - J-J Kim
- Gyeongbuk Livestock Research Institute, Yeungju, 750-780, Korea
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Novel SNPs in the bovine ADIPOQ and PPARGC1A genes are associated with carcass traits in Hanwoo (Korean cattle). Mol Biol Rep 2013; 40:4651-60. [DOI: 10.1007/s11033-013-2560-0] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2012] [Accepted: 04/29/2013] [Indexed: 12/16/2022]
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Park H, Seo S, Cho YM, Oh SJ, Seong HH, Lee SH, Lim D. Identification of Candidate Genes Associated with Beef Marbling Using QTL and Pathway Analysis in Hanwoo (Korean Cattle). ASIAN-AUSTRALASIAN JOURNAL OF ANIMAL SCIENCES 2012; 25:613-20. [PMID: 25049604 PMCID: PMC4093113 DOI: 10.5713/ajas.2011.11347] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/30/2011] [Revised: 01/17/2012] [Accepted: 12/06/2011] [Indexed: 12/13/2022]
Abstract
Marbling from intramuscular fat is an important trait of meat quality and has an economic benefit for the beef industry. Quantitative trait loci (QTL) fine mapping was performed to identify the marbling trait in 266 Hanwoo steers using a 10K single nucleotide polymorphism panel with the combined linkage and linkage disequilibrium method. As a result, we found nine putative QTL regions for marbling: three on BTA6, two on BTA17, two on BTA22, and two on BTA29. We detected candidate genes for marbling within 1 cM of either side of the putative QTL regions. Additionally, to understand the functions of these candidate genes at the molecular level, we conducted a functional categorization using gene ontology and pathway analyses for those genes involved in lipid metabolism or fat deposition. In these putative QTL regions, we found 95 candidate genes for marbling. Using these candidate genes, we found five genes that had a direct interaction with the candidate genes. We also found SCARB1 as a putative candidate gene for marbling that involves fat deposition related to cholesterol transport.
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Affiliation(s)
- Hyesun Park
- Division of Animal Genomics and Bioinformatics, National Institute of Animal Science, Rural Development Administration, Chuksan gil 77, Kwonsun-gu, Suwon, Korea ; Department of animal biosystem science, Chung-nam National University, 99 Daehak-ro(St), Yuseong-gu, Daejeon, 305-764, Korea
| | - Seongwon Seo
- Department of animal biosystem science, Chung-nam National University, 99 Daehak-ro(St), Yuseong-gu, Daejeon, 305-764, Korea
| | - Yong Min Cho
- Green growth and future strategy team, Director general for planning and coordination, Rural Development Administration, Suwon, Korea
| | - Sung Jong Oh
- Division of Animal Genomics and Bioinformatics, National Institute of Animal Science, Rural Development Administration, Chuksan gil 77, Kwonsun-gu, Suwon, Korea
| | - Hwan-Hoo Seong
- Division of Animal Genomics and Bioinformatics, National Institute of Animal Science, Rural Development Administration, Chuksan gil 77, Kwonsun-gu, Suwon, Korea
| | - Seung Hwan Lee
- Division of Animal Genomics and Bioinformatics, National Institute of Animal Science, Rural Development Administration, Chuksan gil 77, Kwonsun-gu, Suwon, Korea
| | - Dajeong Lim
- Division of Animal Genomics and Bioinformatics, National Institute of Animal Science, Rural Development Administration, Chuksan gil 77, Kwonsun-gu, Suwon, Korea
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