Genome wide QTL mapping to identify candidate genes for carcass traits in Hanwoo (Korean Cattle)

• Published in: Genes & genomics 2012, 34(1), , pp.43-49
• Main Authors: Lee, S.H., University of New England, Armidale, NSW 2351, Australia, van der Werf, Julius, University of New England, Armidale, NSW 2351, Australia, Lee, S.H., National Institute of Animal Science, RDA, Suwon, Republic of Korea, Lim, D.J., National Institute of Animal Science, RDA, Suwon, Republic of Korea, Park, E.W., National Institute of Animal Science, RDA, Suwon, Republic of Korea, Gondro, Cedric, University of New England, Armidale, NSW 2351, Australia, Yoon, D.H., Kyungpook National University, Sangju, Republic of Korea, Oh, S.J., National Institute of Animal Science, RDA, Suwon, Republic of Korea, Kim, O.H., Konkuk University, Chungju, Republic of Korea, Gibson, John, University of New England, Armidale, NSW 2351, Australia, Thompson, John, University of New England, Armidale, NSW 2351, Australia
• Format: Article
• Language: English
• Subjects: Animal Genetics and Genomics; Biomedical and Life Sciences; BOVIN; Candidate genes and 10K Affymetrix chip; CATTLE; Combined linkage and linkage disequilibrium analysis; GANADO BOVINO; Hanwoo; Human Genetics; Life Sciences; Microbial Genetics and Genomics; Plant Genetics and Genomics; Research Article; 생물학
• ISSN: 1976-9571; 2092-9293
• DOI: 10.1007/s13258-011-0081-6

Meat quality traits are the most economically important traits affecting the beef industry in Korea. We performed a whole genome quantitative trait locus (QTL) mapping study of carcass data in Hanwoo Korean cattle. Two hundred sixty-six Hanwoo steers from 65 sires were genotyped using a 10K Affymetrix SNP chip. The average SNP interval across the bovine genome was 1.5Mb. Associations between each individual SNP and four carcass traits [carcass weight (CWT), eye muscle area (EMA), back fat thickness (BFT), and marbling (MAR)] were assessed using a linear mixed model of each trait. Combined linkage and linkage disequilibrium analysis (LDLA) detected six potential QTL on BTA04, 06, 13, 16, 17, and 23 at the chromosome-wise level (P less than 0.05). Two MAR QTL were detected at 52.2 cM of BTA06 and 46.04 cM of BTA17. We identified three genes (ARAP2, LOC539460, and LOC511424) in the QTL region of BTA06 and seven genes (RPS14, SCARB1, LOC782103, BRI3BP, AACS, DHX37, and UBC) in the QTL region of BTA17. One significant QTL for CWT was detected at 100 cM on BTA04 and the corresponding QTL region spanned 1.7 cM from 99.7 to 101.4 cM. For EMA QTL, one significant QTL was detected at 3.9 cM of BTA23 and the most likely QTL interval was 1.4 cM, placing 15 candidate genes in the marker bracket. Finally, two QTL for BFT were identified at 68 cM on BTA13 and 24 cM on BTA16. The LPIN3 gene, which is functionally associated with lipodystrophy in humans, is located in the BFT QTL on BTA13. Thus, two potential candidate genes, acetoacetyl-CoA synthetase (AACS) and lipin (LPIN), were detected in QTL regions on BTA17 for MAR and BTA13 for BFT, respectively. In conclusion, LDLA analysis can be used to detect chromosome regions harboring QTL and candidate genes with a low density SNP panel, yielding relatively narrow confidence intervals regarding location.