Literature DB >> 21805221

QTL and gene expression analyses identify genes affecting carcass weight and marbling on BTA14 in Hanwoo (Korean Cattle).

Seung Hwan Lee1, J H J van der Werf, Nam Kuk Kim, Sang Hong Lee, C Gondro, Eung Woo Park, Sung Jong Oh, J P Gibson, J M Thompson.   

Abstract

Causal mutations affecting quantitative trait variation can be good targets for marker-assisted selection for carcass traits in beef cattle. In this study, linkage and linkage disequilibrium analysis (LDLA) for four carcass traits was undertaken using 19 markers on bovine chromosome 14. The LDLA analysis detected quantitative trait loci (QTL) for carcass weight (CWT) and eye muscle area (EMA) at the same position at around 50 cM and surrounded by the markers FABP4SNP2774C>G and FABP4_μsat3237. The QTL for marbling (MAR) was identified at the midpoint of markers BMS4513 and RM137 in a 3.5-cM marker interval. The most likely position for a second QTL for CWT was found at the midpoint of tenth marker bracket (FABP4SNP2774C>G and FABP4_μsat3237). For this marker bracket, the total number of haplotypes was 34 with a most common frequency of 0.118. Effects of haplotypes on CWT varied from a -5-kg deviation for haplotype 6 to +8 kg for haplotype 23. To determine which genes contribute to the QTL effect, gene expression analysis was performed in muscle for a wide range of phenotypes. The results demonstrate that two genes, LOC781182 (p = 0.002) and TRPS1 (p = 0.006) were upregulated with increasing CWT and EMA, whereas only LOC614744 (p = 0.04) has a significant effect on intramuscular fat (IMF) content. Two genetic markers detected in FABP4 were the most likely QTL position in this QTL study, but FABP4 did not show a significant effect on both traits (CWT and EMA) in gene expression analysis. We conclude that three genes could be potential causal genes affecting carcass traits CWT, EMA, and IMF in Hanwoo.

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Year:  2011        PMID: 21805221     DOI: 10.1007/s00335-011-9331-9

Source DB:  PubMed          Journal:  Mamm Genome        ISSN: 0938-8990            Impact factor:   2.957


  24 in total

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2.  Genetic polymorphisms of the bovine fatty acid binding protein 4 gene are significantly associated with marbling and carcass weight in Hanwoo (Korean Cattle).

Authors:  S H Lee; J H J van der Werf; S H Lee; E W Park; S J Oh; J P Gibson; J M Thompson
Journal:  Anim Genet       Date:  2010-03-15       Impact factor: 3.169

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5.  Intramuscular fat content in meat-producing animals: development, genetic and nutritional control, and identification of putative markers.

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10.  The efficiency of designs for fine-mapping of quantitative trait loci using combined linkage disequilibrium and linkage.

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  5 in total

1.  Genome-wide association study identifies major loci for carcass weight on BTA14 in Hanwoo (Korean cattle).

Authors:  Seung Hwan Lee; Bong Hwan Choi; Dajeong Lim; Cedric Gondro; Young Min Cho; Chang Gwon Dang; Aditi Sharma; Gul Won Jang; Kyung Tai Lee; Duhak Yoon; Hak Kyo Lee; Seong Heum Yeon; Boh Suk Yang; Hee Seol Kang; Seong Koo Hong
Journal:  PLoS One       Date:  2013-10-07       Impact factor: 3.240

2.  Identification of recently selected mutations driven by artificial selection in hanwoo (korean cattle).

Authors:  Dajeong Lim; Cedric Gondro; Hye Sun Park; Yong Min Cho; Han Ha Chai; Hwan Hoo Seong; Bo Suk Yang; Seong Koo Hong; Won Kyung Chang; Seung Hwan Lee
Journal:  Asian-Australas J Anim Sci       Date:  2013-05       Impact factor: 2.509

3.  Genetic Polymorphisms of the Bovine NOV Gene Are Significantly Associated with Carcass Traits in Korean Cattle.

Authors:  B S Kim; S C Kim; C M Park; S H Lee; S H Cho; N K Kim; G W Jang; D H Yoon; B S Yang; S K Hong; H H Seong; B H Choi
Journal:  Asian-Australas J Anim Sci       Date:  2013-06       Impact factor: 2.509

4.  Identification of the association between FABP4 gene polymorphisms and milk production traits in Sfakia sheep.

Authors:  Adel H M Ibrahim; Nikolaos Tzanidakis; Smaragda Sotiraki; Huitong Zhou; Jonathan G H Hickford
Journal:  Arch Anim Breed       Date:  2019-07-15

5.  Combining information from genome-wide association and multi-tissue gene expression studies to elucidate factors underlying genetic variation for residual feed intake in Australian Angus cattle.

Authors:  Sara de Las Heras-Saldana; Samuel A Clark; Naomi Duijvesteijn; Cedric Gondro; Julius H J van der Werf; Yizhou Chen
Journal:  BMC Genomics       Date:  2019-12-06       Impact factor: 3.969

  5 in total

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