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      Haplotypes of the porcine peroxisome proliferator-activated receptor delta gene are associated with backfat thickness

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          Abstract

          Background

          Peroxisome proliferator-activated receptor delta belongs to the nuclear receptor superfamily of ligand-inducible transcription factors. It is a key regulator of lipid metabolism. The peroxisome proliferator-activated receptor delta gene ( PPARD) has been assigned to a region on porcine chromosome 7, which harbours a quantitative trait locus for backfat. Thus, PPARD is considered a functional and positional candidate gene for backfat thickness. The purpose of this study was to test this candidate gene hypothesis in a cross of breeds that were highly divergent in lipid deposition characteristics.

          Results

          Screening for genetic variation in porcine PPARD revealed only silent mutations. Nevertheless, significant associations between PPARD haplotypes and backfat thickness were observed in the F2 generation of the Mangalitsa × Piétrain cross as well as a commercial German Landrace population. Haplotype 5 is associated with increased backfat in F2 Mangalitsa × Piétrain pigs, whereas haplotype 4 is associated with lower backfat thickness in the German Landrace population. Haplotype 4 and 5 carry the same alleles at all but one SNP. Interestingly, the opposite effects of PPARD haplotypes 4 and 5 on backfat thickness are reflected by opposite effects of these two haplotypes on PPAR-δ mRNA levels. Haplotype 4 significantly increases PPAR-δ mRNA levels, whereas haplotype 5 decreases mRNA levels of PPAR-δ.

          Conclusion

          This study provides evidence for an association between PPARD and backfat thickness. The association is substantiated by mRNA quantification. Further studies are required to clarify, whether the observed associations are caused by PPARD or are the result of linkage disequilibrium with a causal variant in a neighbouring gene.

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          Most cited references18

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          Consed: a graphical tool for sequence finishing.

          Sequencing of large clones or small genomes is generally done by the shotgun approach (Anderson et al. 1982). This has two phases: (1) a shotgun phase in which a number of reads are generated from random subclones and assembled into contigs, followed by (2) a directed, or finishing phase in which the assembly is inspected for correctness and for various kinds of data anomalies (such as contaminant reads, unremoved vector sequence, and chimeric or deleted reads), additional data are collected to close gaps and resolve low quality regions, and editing is performed to correct assembly or base-calling errors. Finishing is currently a bottleneck in large-scale sequencing efforts, and throughput gains will depend both on reducing the need for human intervention and making it as efficient as possible. We have developed a finishing tool, consed, which attempts to implement these principles. A distinguishing feature relative to other programs is the use of error probabilities from our programs phred and phrap as an objective criterion to guide the entire finishing process. More information is available at http:// www.genome.washington.edu/consed/consed. html.
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            PolyPhred: automating the detection and genotyping of single nucleotide substitutions using fluorescence-based resequencing.

            Fluorescence-based sequencing is playing an increasingly important role in efforts to identify DNA polymorphisms and mutations of biological and medical interest. The application of this technology in generating the reference sequence of simple and complex genomes is also driving the development of new computer programs to automate base calling (Phred), sequence assembly (Phrap) and sequence assembly editing (Consed) in high throughput settings. In this report we describe a new computer program known as PolyPhred that automatically detects the presence of heterozygous single nucleotide substitutions by fluorescencebased sequencing of PCR products. Its operations are integrated with the use of the Phred, Phrap and Consed programs and together these tools generate a high throughput system for detecting DNA polymorphisms and mutations by large scale fluorescence-based resequencing. Analysis of sequences containing known DNA variants demonstrates that the accuracy of PolyPhred with single pass data is >99% when the sequences are generated with fluorescent dye-labeled primers and approximately 90% for those prepared with dye-labeled terminators.
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              Peroxisome proliferator-activated receptor delta controls muscle development and oxidative capability.

              Peroxisome proliferator-activated receptors (PPARs) are nuclear receptors exerting several functions in development and metabolism. The physiological functions of PPARdelta remain elusive. By using a CRE-Lox recombination approach, we generated an animal model for muscle-specific PPARdelta overexpression to investigate the role of PPARdelta in this tissue. Muscle-specific PPARdelta overexpression results in a profound change in fiber composition due to hyperplasia and/or shift to more oxidative fiber and, as a consequence, leads to the increase of both enzymatic activities and genes implicated in oxidative metabolism. These changes in muscle are accompanied by a reduction of body fat mass, mainly due to a large reduction of adipose cell size. Furthermore, we demonstrate that endurance exercise promotes an accumulation of PPARdelta protein in muscle of wild-type animals. Collectively, these results suggest that PPARdelta plays an important role in muscle development and adaptive response to environmental changes, such as training exercise. They strongly support the idea that activation of PPARdelta could be beneficial in prevention of metabolic disorders, such as obesity or type 2 diabetes.
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                Author and article information

                Journal
                BMC Genet
                BMC Genetics
                BioMed Central
                1471-2156
                2009
                30 November 2009
                : 10
                : 76
                Affiliations
                [1 ]Chair of Animal Breeding, Technical University of Munich, Hochfeldweg 1, 85354 Freising - Weihenstephan, Germany
                [2 ]Department of Genome Analysis, Helmholtz Centre for Infection Research, Inhoffenstraße 7, 38124 Braunschweig, Germany
                Article
                1471-2156-10-76
                10.1186/1471-2156-10-76
                3087513
                19943979
                073e98c0-6446-4365-baae-92291838eb0b
                Copyright ©2009 Meidtner et al; licensee BioMed Central Ltd.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 18 January 2009
                : 30 November 2009
                Categories
                Research Article

                Genetics
                Genetics

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