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EN
In the present study we show FISH localization of 4 porcine BAC clones harbouring potential candidate genes for fatness traits: DGAT1 (SSC4p15), PPARA (SSC5p15), ADIPOR1 (SSC10p13) and CREB (SSC15q24). Until now the CREB and ADIPOR1 genes are considered to be monomorphic, DGAT1 is highly polymorphic, while for the PPARA gene only 1 SNP was identified. Assignment of the studied genes in relation to QTL chromosome regions for meat quality in pig chromosomes SSC4, SSC5, SSC10 and SSC15 is discussed.
EN
Fatty acid-binding proteins (FABPs) are members of the superfamily of lipid-binding proteins (LBP). So far 9 different FABPs, with tissue-specific distribution, have been identified: L (liver), I (intestinal), H (muscle and heart), A (adipocyte), E (epidermal), Il (ileal), B (brain), M (myelin) and T (testis). The primary role of all the FABP family members is regulation of fatty acid uptake and intracellular transport. The structure of all FABPs is similar ? the basic motif characterizing these proteins is ?-barrel, and a single ligand (e.g. a fatty acid, cholesterol, or retinoid) is bound in its internal water-filled cavity. Despite the wide variance in the protein sequence, the gene structure is identical. The FABP genes consist of 4 exons and 3 introns and a few of them are located in the same chromosomal region. For example, A-FABP, E-FABP and M-FABP create a gene cluster. Because of their physiological properties some FABP genes were tested in order to identify mutations altering lipid metabolism. Furthermore, the porcine A-FABP and H-FABP were studied as candidate genes with major effect on fatness traits.
EN
In the present study we show FISH localization of 4 porcine BAC clones harbouring potential candidate genes for fatness traits: DGAT1 (SSC4p15), PPARA (SSC5p15), ADIPOR1 (SSC10p13) and CREB (SSC15q24). Until now the CREB and ADIPOR1 genes are considered to be monomorphic, DGAT1 is highly polymorphic, while for the PPARA gene only 1 SNP was identified. Assignment of the studied genes in relation to QTL chromosome regions for meat quality in pig chromosomes SSC4, SSC5, SSC10 and SSC15 is discussed.
EN
The gene encoding solute carrier family 6 member 14 (SLC6A14) has been considered as a candidate gene affecting human obesity. In this study, full-length cDNA (2237 bp) and DNA sequence (24 541 bp) of the porcine SLC6A14 gene were isolated. The porcine SLC6A14 cDNA contains a 5'-untranslated region of 57 bp, a 3'-untranslated region of 254 bp, and an open reading frame of 1926 bp, encoding a deduced protein of 642 amino acids with a molecular mass of 72. 475 kDa and an isoelectric point of 7.82. The genomic structure of the porcine SLC6A14 gene is similar to mammalian orthologs, particularly in terms of exon size and exon/intron boundaries. It comprises 14 exons and 13 introns. A semi-quantitative RT-PCR showed that the porcine SLC6A14 mRNA expression was tissue-specific. Four SLC6A14 single-nucleotide polymorphisms (SNPs) were identified, and 3 informative SNPs were chosen for genotyping in a White Duroc ? Erhualian resource population with phenotype data of growth and fatness traits. The association analysis showed that the c.1438 G>A nonsynonymous polymorphism was associated with birth weight and 21-day body weight (P < 0.05), while g.7944 A>T was associated with 46-day body weight. Linkage and radiation hybrid mapping assigned SLC6A14 to a region around SW1522 on SSCXp13, which did not fall in the confidence interval of the quantitative trait locus (QTL) for growth and fatness traits on SSCX in the resource population. These results indicate that SLC6A14 is not a positional candidate gene for the QTL affecting fatness and growth traits in pigs.
EN
Thirteen candidate genes for human obesity were selected for cytogenetic mapping by FISH in the pig genome. Among them, 6 genes were assigned to chromosomes for the first time (NR3C1, GNB3, ADRB1, ADRB2, ADRB3 and UCP1). Location of the other 7 genes (INSIG2, LIPIN1, PLIN, NAMPT, ADIPOQ, UCP2 and UCP3), earlier mapped by somatic cell hybridization or with the use of a radiation hybrid panel, was verified (INSIG2) or more precisely described. The genes were assigned to the following chromosomes: INSIG2 to SSC15q12, LIPIN1 to SSC3q26, NR3C1 to SSC2q29, PLIN to SSC7q15, GNB3 to SSC5q21, NAMPT to SSC9q23, ADIPOQ to SSC13q41, ADRB1 to SSC14q28, ADRB2 to SSC2q29, ADRB3 to SSC15q13-14, UCP1 to SSC8q21-22, and both UCP2 and UCP3 to SSC9p24. Most of the genes were located within known QTL for pig fatness traits.
EN
Fatnness traits are important in pig production since they influence meat quality and fattening efficiency. On the other hand, excessive fat accumulation in humans has become a serious health problem due to worldwide spread of obesity. Since the pig is also considered as an animal model for numerous human diseases, including obesity and metabolic syndrome, comparative genomic studies may bring new insights into genetics of fatness/obesity. Input of genetic factors into phenotypic variability of these traits is rather high and the heritability coefficient (h2) of these traits oscillates around 0.5. Genome scanning revealed the presence of more than 500 QTLs for fatness in the pig genome. In addition to QTL studies, many candidate gene polymorphisms have been analyzed in terms of their associations with pig fatness, including genes encoding leptin (LEP) and its receptor (LEPR), insulin-like growth factor 2 (IGF-2), fatty acid-binding proteins (FABP3 and FABP4), melanocortin receptor type 4 (MC4R), and the FTO (fat mass and obesity-associated) gene. Among them, a confirmed effect on pig fatness was found for a well-known polymorphism of the IGF-2 gene. In humans the strongest association with predisposition to obesity was shown for polymorphism of the FTO gene, while in pigs such an association seems to be doubtful. The development of functional genomics has revealed a large number of genes whose expression is associated with fat accumulation and lipid metabolism, so far not studied extensively in terms of the association of their polymorphism with pig fatness. Recently, epigenomic mechanisms, mainly RNA interference, have been considered as a potential source of information on genetic input into the fat accumulation process. The rather limited progress in studies focused on the identification of gene polymorphism related with fatness traits shows that their genetic background is highly complex.
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