Introduction
Quantitative trait locus (QTL) mapping has been performed to detect chromosomal regions that are associated with production and meat quality traits by crossing phenotypically divergent breeds. To date, more than 6,800 QTLs representing 585 overlapping phenotypic traits have been deposited in pig QTLdb (http://www.animalgenome.org/cgi-bin/QTLdb/SS/index). Moreover, several QTLs for growth and fat deposition traits have been identified in a similar region of swine chromosome (SSC) 6 [3, 6, 8, 11, 13, 17, 18, 25]. Subsequently, great efforts have been made to find causal mutations controlling the QTLs through fine mapping or positional candidate gene approaches. However, definite conclusions have not yet been drawn based on those results [1, 12, 19, 20, 25]. The leptin receptor (LEPR) gene is well known a potential positional candidate gene controlling QTL for growth and fatness traits in the long arm of SSC6 because of its position and biological function.
Leptin, produced primarily in adipose tissue, is involved in the regulation of feed intake, energy balance, and reproduction in mammals [5]. Leptin signaling is mediated via the LEPR, which belongs to the class I cytokine family [23]. Leptin and LEPR genetic variants are associated with obese phenotypes in humans and mice, and the two genes are expected to influence fat deposition in pigs [4]. Associations between LEPR variants and reproductive [2] and fatness traits [12] have been reported in pigs. Ovilo et al. (2005) found a significant association between LEPR alleles and backfat thickness in a narrow region (130–132 cM) of chromosome 6 [20]. In recent, Uemoto et al. (2012) detected a significant SNP (c.2002C>T) in exon 14 on fatness traits [24]. All association studies on LEPR have been performed between exonic or intronic mutations and phenotypes in pigs. A few cDNA sequences and partial sequences of the porcine LEPR have been deposited in GenBank (e.g., AF092422), but the complete genomic organization has not been characterized. Moreover, the 5′ regulatory region of the porcine LEPR gene sequence has not been published.
Therefore, this study was carried out to evaluate the porcine LEPR gene as a positional candidate controlling the QTL for growth and fat deposition traits on SSC6. In addition, we report the complete genomic structure containing the 5′ regulatory region of the porcine LEPR gene.
Materials and Methods
Ethics statement
The study protocol and standard operating procedures were reviewed and approved by the Institutional Animal Care and Use Committee of the National Institute of Animal Science (No. 2009-077, C-grade).
Isolation of a bacterial artificial chromosome clone containing the porcine LEPR gene
A bacterial artificial chromosome (BAC) clone containing the LEPR gene was obtained from the Korean native pig (KNP) BAC library [10] using a polymerase chain reaction (PCR) screening method. A BAC clone containing the LEPR gene was screened with LEPR-CA STS (UniSTS: 253565, Forward: 5‘-TTCCAGAAACATAAGACACGCG-3‘, Reverse: 5’- GACCAATTCTAAATTTCAACCAGAGG-3‘). A shotgun library of the screened BAC clone, KNP_645H8, was constructed using the pUC19 plasmid vector (Qbiogene, Irvine, CA, USA). The sequence was obtained using an ABI PRISM BigDye Terminator Cycle Sequencing Kit (Applied Biosystems, Foster City, CA, USA) and an ABI PRISM3730 Genetic Analyzer (AppliedBiosystems). The DNA sequences were assembled with Phred and Phrap software (University of Washington). The assembled sequence was deposited into GenBank of NCBI (FN673752).
Structural analysis of the porcine LEPR gene
Exon-intron boundaries of the LEPR gene on the sequence of BAC clone were determined by comparing with the porcine mRNA sequence (AF092422). Potential transcription factor-binding sites in the 5‘ upstream region were predicted using the TRANSFAC 8.4 professional program. The putative promoter sequence of the porcine LEPR gene was aligned with the human (AC097063) and mouse (AL929373) sequences using the ClustalW2 program (http://www.ebi.ac.uk/Tools/msa/clustalw2/) to investigate consensus sequences within the promoter regions among species.
Single nucleotide polymorphism discovery
Single nucleotide polymorphisms (SNPs) within exons and a putative promoter region were detected by direct sequencing of the samples pooled from five different breeds, including the Korean native pig, Berkshire, Duroc, Landrace, and Yorkshire. Eleven pairs of primers covering 1.2 kb upstream and 11 exon regions were designed based on the BAC clone sequence obtained (Table 1). The PCR reaction was performed in a 50 μL final volume containing 50 ng template DNA, 50 mM KCl, 10 mM Tris-HCl (pH 8.3), 0.5 mM MgCl2, 0.2 μM each primer, 100 μM each dNTP, and one unit Taq DNA polymerase (GeNet Bio, Korea). Reaction profiles included a 5 min denaturation step at 94℃ followed by 35 cycles each consisting of 30 s at 94℃, 30 s at the annealing temperature (Table 1), 1 min at 72℃, and then a final 10 min extension step at 72℃ using a PTC-225 Peltier Thermal Cycler (MJ Research, Waltham MA, USA).
Table 1.List of primer sequences used to amplify the porcine LEPR gene
The PCR products were cleaned up with a QIAquick PCR purification Kit (Qiagen, Hilden, Germany) and sequenced with the respective PCR primers using BigDye Terminator Cycle Sequencing Kit version 3.2(Applied Biosystems, USA) and an 3730XL DNA Analyzer (AppliedBiosystems). SNPs were identified by multiple alignments of sequence chromatograms generated with each primer pair using SeqMan program of Lasergene package (DNASTAR, USA).
Genotyping and phenotypes
In total 1,014 pigs from nine different breeds including western breeds (Berkshire, Duroc, Landrace, and Large White), the Korean native pig, the Korean wild pig, and Chinese breeds (Xiang, Min, and Wuzhishan pig) were used to investigate the allelic frequencies of SNPs. The traits analyzed in this study were average daily weight gain, feed efficiency, backfat thickness, and lean meat percentage. Blood samples were collected from 550 Duroc pigs at the Pig Breeding Stock Evaluation Center of the Korean Swine Association in Korea for the association test. Genomic DNAs were extracted with the Wizard Genomic DNA Purification Kit (Promega, Madison, WI, USA). PCR reactions were performed in a 25 μl final volume containing 25 ng template DNA, 50 mM KCl, 10 mM Tris-HCl (pH 8.3), 0.5 mM MgCl2, 0.2 μM each primer, 100 μM each dNTP, and one unit Taq DNA polymerase (GeNet Bio) for genotyping of the 18 SNPs in the promoter region and the 6 SNPs in the exon region (Table 2). Thermal cycling parameters were defined as follows: pre-denaturation at 95℃ for 5 min, followed by 35 cycles of 95℃ for 30 s, annealing temperature for 30 s (Table 1), 72℃ for 1 min, and then a final step at 72℃ for 10 min using a PTC 225 Peltier Thermal Cycler (MJ Research). Genotypes of 550 samples were determined by PCR-restriction fragment length polymorphism (PCR-RFLP) analyses using Tsp509I, HpycH4III, NdeI, AciI, DraIII, and Sau3AI (Table 2) for exonic mutations and direct sequencing for SNPs within the upstream region.
Table 2.Exon-intron organization of the porcine LEPR gene
Statistical analysis
Data were analyzed with the general linear model procedure using SAS (SAS Institute, Cary, NC, USA) to test the effect of each genotype on performance traits. Mean differences were established based on the least squares means comparison. A p-value <0.05 was considered significant. The formula for analyzing traits was Y=Xβ+M+e, where Y is the phenotype vector; X and β are the design matrix and solution vector for fixed effects including year/season of birth and gender and the performance testing period (days) covariate, respectively; M is a 3×1 vector of the genotype effects; and e is a residuals vector.
Results and Discussion
Positional and biological candidate gene studies may help identify genes responsible for phenotypic variation. In particular, positional candidate gene analyses are intended to evaluate whether a positional candidate gene is effective on some QTL or closely linked to the QTL. Association studies yield significant results when an SNP within a candidate gene is a causal variation or in linkage disequilibrium with it [20]. This study was conducted to evaluate the influence of variations in the porcine LEPR gene on production traits in pigs. This is the first report providing evidence for the effect of one SNP in the 5' regulatory region on production traits in a Duroc population. Moreover, we revealed the complete genomic sequences including the 5' regulatory region in the porcine LEPR gene.
Genomic structure of the porcine LEPR gene
We screened a BAC clone (KNP_645H8) containing the LEPR-CA microsatellite marker and obtained an approximate 114 kb sequence (GenBank acc. no. FN673752) using the shotgun sequencing method. The complete genomic structure of the LEPR gene including a putative promoter region was revealed by comparison with the porcine cDNA sequence (AF092422). As shown in Table 2, the porcine LEPR gene was organized with 18 exons spanning approximately 63 kb of genomic DNA. Exon 18 was the longest, representing 1,347 bp. The intron sizes of the LEPR gene were in the range of 166 bp to approximately 14 kb. The translation initiation codon was located in exon 1. In addition, all exon/intron boundary sequences followed the GT-AG rule for splice-donor and acceptor sites reported by Jacob and Gallinaro (1989) [9]. The putative transcriptional factor biding sites included activating protein-1, CCAAT-enhancer-binding protein (C/EBP)-α, peroxisome proliferator-activated receptor (PPAR)-α, retinoid X receptor-α, and nuclear factor (NF)-kB (data not shown). Multiple potential transcription factor-binding sites were also identified in the porcine LEPR promoter region and might be responsible for transcriptional regulation of the porcine LEPR gene. The TATA box (CTTATATATA) was predicted in the region 52 bp upstream from the transcription initiation start point by the WebGene program.
Discovery of SNPs
A total of eleven primer sets were used to amplify ten exonic regions and the upstream region of exon1 of the porcine LEPR gene (Table 1). Thirty six SNPs were identified by direct sequencing. Within 1,345 amino acids of the CDS of the porcine LEPR gene (AF092422), two nonsynonymous (I73L and T220A) and four synonymous (L243L, S724S, S775S, and D947D) mutations were found within the exon region (Table 3). Eighteen SNPs were polymorphic in the 5' regulatory region of the Duroc population. Thirty SNPs were initially discovered in the 5' regulatory region, of which only 18 loci were polymorphic in the Duroc breed (Table 4). Furthermore, most of the SNP sites were involved in a putative transcription factor-binding sequence (Table 4). The causal mutation in the regulatory region is critical for regulating gene expression, because transcriptional control is mediated mainly through the interactions of regulatory transcription factors with their cognate enhancer elements Novina & Roy, 1996).
Table 3.Allelic frequencies of the porcine LEPR exonic variations in nine pig breeds
Table 4.SNPs position, allele frequencies and transcription factor binding sites of 5’ regulatory region of the porcine LEPR gene in Duroc breed
Several studies for the effect of LEPR gene variants on phenotypes in pigs have been performed [2, 12, 15, 16, 19, 20]. Ovilo et al. (2005) reported that a missense mutation (L663F) for the backfat thickness trait in exon 14 of the LEPR gene is significantly associated in multiple generations of an Iberian × Landrace intercross [20]. Mackowski et al. (2005) reported that three SNPs in exon 4 have no direct effect on fatness traits in Polish Landrace and the 990 synthetic line but that the A allele at locus 232T/A is significantly associated with thicker backfat over the shoulder in Polish Landrace [12]. Chen et al. (2004) reported that synonymous mutations of P300P in exon 6 and D947D in exon 18 are significantly associated with backfat thickness (p<0.05) in Landrace and Yorkshire, respectively, and that the effect of the SNP in exon 18 is significant for feed efficiency in Duroc [2]. However, no significant effect of the SNP variants on average daily weight gain was observed in the present study. Chen et al. (2004) reported that the associations among intron 2 and exons 2 and 18 polymorphisms and reproductive traits were significant in Duroc and Yorkshire [2]. In recently, a SNP (c.987C>T) of the porcine LEPR gene was significantly associated with feed intake, growth and fatness traits in pigs [15]. However, we did not find any effects of the exonic mutations on phenotypes. These inconsistent results might be due to the different samples used in this and previous studies.
Allelic frequencies and association analysis
Allelic frequencies of these exonic polymorphisms were investigated in nine different pig breeds (Table 3). These polymorphisms were present in almost all breeds, except for the T220A polymorphism in Duroc and the L243L polymorphism in the Korean wild pig and the Chinese breeds. The allelic frequency of each locus showed different patterns among the pig breeds. Half of all SNPs in the 5' regulatory region were not informative in Duroc (Table 4). Dozens of transcription factor-binding sites were predicted in the 5' regulatory region of the porcine LEPR gene. Among them, specificity protein 1 and C/EBP sites have been found in the human leptin gene promoter [7], and C/EBPa and PPARg modulate the expression of the human leptin gene [14, 21]. In addition, the transcription factors NFkB, liver X receptor, and hepatocyte nuclear factor-4α play important roles regulating gene expression of lipid metabolism [22].
A total of 550 pure Duroc pigs were genotyped on 24 SNPs including 6 SNPs on the exonic regions and 18 SNPs in the regulatory region for the association study. Only one SNP at the −790C/G polymorphism on the regulatory region in the LEPR gene was significantly associated with production traits such as backfat thickness (p<0.001) and lean meat percentage (p<0.003), but had no significant effect on average daily weight gain or feed efficiency (Table 5). That is, backfat thickness was higher and lean meat percentage lower in the individual of the genotype GG rather than in that of the genotype CC. However, no other significant associations of genotypes for the other 24 SNPs were found for the other traits.
Table 5.aADG; average daily gain, FE; feed efficiency, BFT; back fat thickness, LMP; lean meat percentage bLeast square means with different letters indicate were different with statistical significance (p<0.05) cType I error rate whether the three marker genotypes have the same effects
The −790C/G polymorphism site was generated within the binding site AGGACAC/GCC) of the putative NF-kB transcription factor. NF-kB is involved in regulating gene expression as a transcription factor. This suggests that a polymorphism in the promoter region of the LEPR gene might be critical for binding a transcription factor such as NF-kB. A significant phenotypic effect may have been observed if a causal mutation in the LEPR promoter region occurred or if the mutation was closely linked with a causal mutation. Therefore, further studies are needed to determine whether these results are due to a polymorphic site that is critical for transcription or linkage disequilibrium with a causal mutation.
참고문헌
- Arnyasi, M., Grindflek, E., Javor, A. and Lien, S. 2006. Investigation of two candidate genes for meat quality traits in a quantitative trait locus region on SSC6: the porcine short heterodimer partner and heart fatty acid binding protein genes. J. Anim. Breed. Genet. 123, 198-203. https://doi.org/10.1111/j.1439-0388.2006.00588.x
- Chen, C. C., Chang, T. and Su, H. Y. 2004. Characterization of porcine leptin receptor polymorphisms and their association with reproduction and production traits. Anim. Biotechnol. 15, 89-102. https://doi.org/10.1081/ABIO-120037903
- de Koning, D. J., Rattink, A. P., Harlizius, B., van Arendonk, J. A., Brascamp, E. W. and Groenen, M. A. 2000. Genome-wide scan for body composition in pigs reveals important role of imprinting. Proc. Natl. Acad. Sci. USA 97, 7947-7950. https://doi.org/10.1073/pnas.140216397
- Friedman, J. M. and Halaas J. L. 1998. Leptin and the regulation of body weight in mammals. Nature 395, 763-770. https://doi.org/10.1038/27376
- Friedman, J. M. 2002. The function of leptin in nutrition, weight, and physiology. Nutr. Rev. 60, 85-87. https://doi.org/10.1301/002966402320634869
- Gerbens, F., de Koning, D. J., Harders, F. L., Meuwissen, T. H., Janss, L. L., Groenen, M. A., Veerkamp, J. H., Van Arendonk, J. A. and te Pas, M. F. 2000. The effect of adipocyte and heart fatty acid-binding protein genes on intramuscular fat and backfat content in Meishan crossbred pigs. J. Anim. Sci. 78, 552-559. https://doi.org/10.2527/2000.783552x
- Gong, D. W., Bi, S., Pratley, R. E. and Weintraub, B. D. 1996. Genomic structure and promoter analysis of the human obese gene. J. Biol. Chem. 271, 3971-3974. https://doi.org/10.1074/jbc.271.8.3971
- Grindflek, E., Szyda, J., Liu, Z. and Lien, S. 2001. Detection of quantitative trait loci for meat quality in a commercial slaughter pig cross. Mamm. Genome 12, 299-304. https://doi.org/10.1007/s003350010278
- Jacob, M. and Gallinaro, H. 1989. The 5’ splice site: phylogenetic evolution and variable geometry of association with U1RNA. Nucleic Acids Res. 11, 2159-2180.
- Jeon, J. T., Park, E. W., Jeon, H. J., Kim, T. H., Lee, K. T. and Cheong, I. C. 2003. A large-insert porcine library with seven fold genome coverage: a tool for positional cloning of candidate genes for major quantitative traits. Mol. Cells 16, 113-116.
- Kim, J. J., Rothschild, M. F., Beever, J., Rodriguez-Zas, S. and Dekkers, J. C. M. 2005. Joint analysis of two breed cross populations in pigs to improve detection and characterization of quantitative trait loci. J. Anim. Sci. 83, 1229-1240. https://doi.org/10.2527/2005.8361229x
- Mackowski, M., Szymoniak, K., Szydlowski, M., Kamyczek, M., Eckert, R., Rozycki, M. and Switonski, M. 2005. Missense mutations in exon 4 of the porcine LEPR gene encoding extracellular domain and their association with fatness traits. Anim. Genet. 36, 135-137. https://doi.org/10.1111/j.1365-2052.2005.01247.x
- Malek, M., Dekkers, J. C., Lee, H. K., Baas, T. J., Prusa, K., Huff-Lonergan, E. and Rothschild, M. F. 2001. A molecular genome scan analysis to identify chromosomal regions influencing economic traits in the pig. II. Meat and muscle composition. Mamm. Genome 12, 637-645. https://doi.org/10.1007/s003350020019
- Miller, S. G., De Vos, P., Guerre-Millo, M., Wong, K., Hermann, T., Staels, B., Briggs, M. R. and Auwerx, J. 1996. The adipocyte specific transcription factor C/ EBPalpha modulates human ob gene expression. Proc. Natl. Acad. Sci. USA 93, 5507-5511. https://doi.org/10.1073/pnas.93.11.5507
- Muñoz, G., Alcázar, E., Fernández, A., Barragán, C., Carrasco, A., de Pedro, E., Silió, L., Sánchez, J. L. and Rodríguez, M. C. 2010. Effects of porcine MC4R and LEPR polymorphisms, gender and Duroc sire line on economic traits in Duroc × Iberian crossbred pigs. Meat Sci. 88, 169-173.
- Muñoz, G., Ovilo, C., Silió, L., Tomás, A., Noguera, J. L. and Rodríguez, M. C. 2009. Single- and joint-population analyses of two experimental pig crosses to confirm quantitative trait loci on Sus scrofa chromosome 6 and leptin receptor effects on fatness and growth traits. J. Anim. Sci. 87, 459-468.
- Ovilo, C., Pérez-Enciso, M., Barragán, C., Clop, A., Rodríquez, C., Oliver, M. A., Toro, M. A. and Noruera, J. L. 2000. A QTL for intramuscular fat and backfat thickness is located on porcine chromosome 6. Mamm. Genome 11, 344-346. https://doi.org/10.1007/s003350010065
- Ovilo, C., Oliver, A., Noguera, J. L., Clop, A., Barragan, C., Varona, L., Rodriguez, C., Toro, M., Sanchez, A., Perez-Enciso, M. and Silio, L. 2002. Test for positional candidate genes for body composition on pig chromosome 6. Genet. Sel. Evol. 34, 465-479. https://doi.org/10.1186/1297-9686-34-4-465
- Ovilo, C., Clop, A., Noguera, J. L., Oliver, M. A., Barragan, C., Rodriguez, C., Silio, L., Toro, M. A., Coll, A., Folch, J. M., Sanchez, A., Babot, D. and Varona, L. 2002. Quantitative trait locus mapping for meat quality traits in an Iberian xLandrace F2 pig population. J. Anim. Sci. 80, 2801-2808. https://doi.org/10.2527/2002.80112801x
- Ovilo, C., Fernandez, A., Noguera, J. L., Barragan, C., Leton, R., Rodriguez, C., Mercade, A., Alves, E., Folch, J. M., Varona, L. and Toro, M. 2005. Fine mapping of porcine chromosome6 QTL and LEPR effects on body composition in multiple generations of an Iberian by Landrace intercross. Genet. Res. 85, 57-67. https://doi.org/10.1017/S0016672305007330
- Qian, H., Hausman, G. J., Compton, M. M., Azain, M. J., Hartzell, D. L. and Baile, C. A. 1998. Leptin regulation of peroxisome proliferator-activated receptor-gamma, tumor necrosis factor, and uncoupling protein-2 expression in adipose tissues. Biochem. Biophys. Res. Commun. 246, 660-667. https://doi.org/10.1006/bbrc.1998.8680
- Sampath, H. and Ntambi, J. M. 2005. Polyunsaturated fatty acid regulation of genes of lipid metabolism. Annu. Rev. Nutr. 25, 317-340. https://doi.org/10.1146/annurev.nutr.25.051804.101917
- Tartaglia, L. A., Dembski, M., Weng, X., Deng, N., Culpepper, J., Devos, R., Richards, G. J., Campfield, L. A., Clark, F. T., Deeds, J., Muir, C., Sanker, S., Moriarty, A., Moore, K. J., Smutko, J. S., Mays, G. G., Wool, E. A., Monroe, C. A. and Tepper, R. I. 1995. Identification and expression cloning of a leptin receptor, OB-R. Cell 83, 1263-1271. https://doi.org/10.1016/0092-8674(95)90151-5
- Uemoto, Y., Kikuchi, T., Nakano, H., Sato, S., Shibata, T., Kadowaki, H., Katoh, K., Kobayashi, E. and Suzuki, K. 2012. Effects of porcine leptin receptor gene polymorphisms on backfat thickness, fat area ratios by image analysis, and serum leptin concentrations in a Duroc purebred population. Anim. Sci. J. 83, 375-385. https://doi.org/10.1111/j.1740-0929.2011.00963.x
- Uleberg, E., Wideroe, I. S., Grindflek, E., Szyda, J., Lien, S. and Meuwissen, T. H. 2005. Fine mapping of a QTL for intramuscular fat on porcine chromosome 6 using combined linkage and linkage disequilibrium mapping. J. Anim. Breed Genet. 122, 1-6.