Association of melanocortin 4 receptor (MC4R) and high mobility group AT‐hook 1 (HMGA1) polymorphisms with pig growth and fat deposition traits

Kim, K. S.; Lee, J. J.; Shin, Hyun-Taeg; Choi, Bong-Hwan; Lee, C. K.; Kim, J. J.; Cho, B. W.; Kim, T.-H.

doi:10.1111/j.1365-2052.2006.01482.x

Cited by 55 publications

(32 citation statements)

References 9 publications

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“…In particular, HMGA1 polymorphism was previously found to be associated with fat deposition in European commercial lines (24,25). Another gene of importance for the adipogenic process in the SSC7 QTL interval might be the cyclin-dependent kinase inhibitor (CDKN1A) known to regulate adipocyte number in mammals (36).…”

Section: Physiological Effects Of Genotype At Ssc7 Qtlmentioning

confidence: 99%

Metabolic and histochemical characteristics of fat and muscle tissues in homozygous or heterozygous pigs for the body composition QTL located on chromosome 7

Demars

Riquet

Sanchez

et al. 2007

Physiological Genomics

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Quantitative trait loci (QTL) influencing many traits including backfat thickness and carcass composition have been detected on porcine chromosome 7 (SSC7) in an F2 cross between Large White (LW) and Meishan (MS) pigs. However, the genes and controlled pathways underlying the QTL effects on body phenotype remain unknown. This study aimed at investigating the tissue characteristics at metabolic and cellular levels in pigs that were either homozygous or heterozygous for a body composition SSC7 QTL. A backcross pig (BC3) was first progeny tested to confirm its heterozygoty for the SSC7 QTL; results on all offspring (n ϭ 80) confirmed the QTL effects on body fatness. This boar was then mated with three sows known to be heterozygous for this QTL. In the subset of pigs per genotype, we found that heterozygous LWQTL7/MSQTL7 pigs had smaller adipocytes in backfat, together with a lower basal rate of glucose incorporation into lipids and lower activities of selected lipogenic enzymes in backfat isolated cells, compared with homozygous LWQTL7/LWQTL7 pigs. A higher number of adipocytes was also estimated in backfat of LWQTL7/ MSQTL7 animals compared with LWQTL7/LWQTL7 pigs. The SSC7 QTL did not influence oxidative and glycolytic metabolisms of longissimus and trapezius muscles, as estimated by the activities of specific energy metabolism enzymes, or the myofiber type properties. Altogether, this study provides new evidence for an altered adipocyte cellularity in backfat of pigs carrying at least one MS allele for the SSC7 QTL. Some candidate genes known for their functions on adipocyte growth and differentiation are suggested.quantitative trait locus; porcine chromosome 7; energy metabolism; lipogenesis; adipocytes THE IDENTIFICATION OF GENES underlying body composition is of major interest for the improvement of livestock animal production and for a better knowledge of mammalian physiology, including the human obesity-related phenotype. One strategy to achieve that is to identify porcine genomic regions containing quantitative trait loci (QTL) for economically important

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Section: Physiological Effects Of Genotype At Ssc7 Qtlmentioning

confidence: 99%

Metabolic and histochemical characteristics of fat and muscle tissues in homozygous or heterozygous pigs for the body composition QTL located on chromosome 7

Demars

Riquet

Sanchez

et al. 2007

Physiological Genomics

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“…Here we would like to focus our attention on several SNPs which seem to be the most interesting. For instance, the effect of MC4R polymorphism on growth rate (average daily gains) did not reach the significance criteria, although based on results obtained by Stachowiak et al (2005), Jakubka et al (2006), Kim et al (2006) and Meidtner et al (2006) its effect on the trait was indicated. On the other hand, results reporting a significant effect of DECR1 polymorphism on GR, presented in this paper, are concordant with the extended analysis published recently by our team (Kaminski et al 2009), but different from those described by Amills et al (2005).…”

Section: Resultsmentioning

confidence: 99%

Additive effects of 19 porcine SNPs on growth rate, meat content and selection index

et al. 2009

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A total of 306 boars (108 Large White and 198 Landrace) were genotyped for 52 candidate SNPs to determine which of the polymorphisms influence growth rate, meat content and selection index. The effects of SNPs were estimated by a mixed linear model including a random additive polygenic animal effect, fixed effects of SNPs including additive, and pairwise additive-by-additive epistases, year*season of birth, breed and RYR1 genotype. In order to estimate all possible pairwise SNP combinations without overparameterising the model a stochastic approach was adopted. A total of 1 350 replications of the model were generated, each containing five randomly selected SNPs. The final estimates of the fixed effects of the model equaled an average out of the replications. The hypothesis of a nonzero effect of SNP was tested by the Wald test. Among 4 257 estimates calculated, many significant (P<0.01), but mostly minor effects (below 1 phenotypic standard deviation) were recorded. The selected SNPs will be further investigated to determine which may be used in MAS.

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“…As a result, these markers may be associated with a larger effect on the variation of the corresponding trait and because they do not rely necessarily on LD, they are expected to be reproducible across diverse populations offering more accurate and reproducible predictions of the levels of the trait even in untested populations [73]. For example, a functional variant observed in the MC4R gene has been shown to have consistent effects on pig growth and fat deposition traits across populations and environments [42][43][44]78].…”

Section: Introductionmentioning

confidence: 99%

Complicated Relationships: A Review of Biological Interaction Networks and Pathways in Animal Science

Karisa

Moore

Plastow

2013

Springer Science Reviews

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The availability of high-throughput genomic technologies has resulted in the identification of millions of DNA polymorphisms, candidate genes and metabolites associated with several economically important traits in livestock production. However, despite the increase in DNA markers and candidate genes associated with these productivity traits, only a small proportion of phenotypic variation in these traits can be explained. This missing heritability creates a need to address the other levels of regulation of gene expression such as the levels occurring post-translation including metabolites. There is also need to use biological network analysis to understand the complex relationships and interactions among genes, metabolites, and markers in shaping the traits of economic importance in livestock production. At the moment, biological network analysis is still in its infancy in animal science; however, it has a great potential to create a holistic view of the underlying biological mechanisms associated with the variation in important traits in livestock production. The goal is to describe some of the approaches used to identify novel DNA variants associated with economically important traits in livestock and address biological interaction network reconstruction, analysis, and application in research in animal science.

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Association of melanocortin 4 receptor (MC4R) and high mobility group AT‐hook 1 (HMGA1) polymorphisms with pig growth and fat deposition traits

Cited by 55 publications

References 9 publications

Metabolic and histochemical characteristics of fat and muscle tissues in homozygous or heterozygous pigs for the body composition QTL located on chromosome 7

Metabolic and histochemical characteristics of fat and muscle tissues in homozygous or heterozygous pigs for the body composition QTL located on chromosome 7

Additive effects of 19 porcine SNPs on growth rate, meat content and selection index

Complicated Relationships: A Review of Biological Interaction Networks and Pathways in Animal Science

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