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Marinus F W Te Pas

Publications and source records attributed to Marinus F W Te Pas.

3 recordsLinked to original sources

Transcriptome expression profiles in prenatal pigs in relation to myogenesis.

Myogenesis, the formation of muscle fibers, is a complex process. Pigs have been selected for efficient muscle growth for the past decades making them interesting to study myogenesis. We studied expression profiles of genes known to affect myogenesis, muscle structural proteins, and energy metabolism in prenatal pigs from 14 to 91 days of gestation. Primary and secondary muscle fiber formation takes place during days 30-60 and 54-90 of gestation, respectively. Differential expression and expression levels of the genes were studied using microarray technology. Gene activation and repression profiles were studied counting the number of spots with detectable signal. The number of spots for muscle tissue structural protein genes showing upregulated expression increased constantly from day 14 until day 91 of gestation indicating continued activation of genes during this period. The mRNA expression level of the genes showed a peak around day 35 of gestation. The expression levels of genes affecting myogenic differentiation (stimulating and inhibiting) showed a peak at day 35 of gestation. The number of spots for differentiation-stimulating genes showing differential expression reaches a first peak around day 35 of gestation and a nadir at day 49 of gestation while the number of spots for differentiation-inhibiting genes reaches a nadir at day 35 of gestation. Myogenic differentiation seems less a matter of the expression level of genes affecting differentiation, but depends on the balance between the number of significantly activated genes for stimulating and inhibiting differentiation. Genes stimulating myoblast proliferation showed a small peak expression prior to day 35 of gestation indicating myoblast proliferation before differentiation. The number of spots and the expression levels of genes for glycolysis and ATP-metabolism are at a nadir around days 35 and 49-63 of gestation suggesting that the energy metabolism is low during fusion of myoblasts into multinucleated muscle fibers.

Animals↗

The IGF2-intron3-G3072A substitution explains a major imprinted QTL effect on backfat thickness in a Meishan x European white pig intercross.

A paternally expressed QTL for muscle growth and backfat thickness (BFT) has previously been identified near the IGF2 locus on the distal tip of pig chromosome 2 (SSC2p) in three experimental F2 populations. Recently, a mutation in a regulatory element of the IGF2 gene was identified as the quantitative trait nucleotide (QTN) underlying the major QTL effect on muscle growth and BFT in crosses between Large White and Wild Boar or Pietrain. This study demonstrates that the IGF2 mutation also controls the paternally expressed QTL for backfat thickness in a cross between Meishan and European Whites. In addition, a comparison of QTL of backfat thickness measured by Hennessy grading probe (HGP) and by ultrasound measurement (USM) was made. In the USM analyses, the IFG2 mutation explains the entire QTL effect on SSC2p, whereas in the HGP analysis the presence of a second minor QTL can not be excluded. Finally, this study shows that this particular IGF2 mutation does not cause the paternally expressed QTL for teat number mapping to the same region of SSC2p as the BFT QTL.

Animals↗

Typing single-nucleotide polymorphisms using a gel-based sequencer: a new data analysis tool and suggestions for improved efficiency.

Single-nucleotide polymorphisms (SNPs) are increasingly used as genetic markers. Although a high number of SNP-genotyping techniques have been described, most techniques still have low throughput or require major investments. For laboratories that have access to an automated sequencer, a single-base extension (SBE) assay can be implemented using the ABI SNaPshot trade mark kit. Here we present a modified protocol comprising multiplex template generation, multiplex SBE reaction, and multiplex sample analysis on a gel-based sequencer such as the ABI 377. These sequencers run on a Macintosh platform, but on this platform the software available for analysis of data from the ABI 377 has limitations. First, analysis of the size standard included with the kit is not facilitated. Therefore a new size standard was designed. Second, using Genotyper (ABI), the analysis of the data is very tedious and time consuming. To enable automated batch analysis of 96 samples, with 10 SNPs each, we developed SNPtyper. This is a spreadsheet-based tool that uses the data from Genotyper and offers the user a convenient interface to set parameters required for correct allele calling. In conclusion, the method described will enable any lab having access to an ABI sequencer to genotype up to 1000 SNPs per day for a single experimenter, without investing in new equipment.

Computational Biology↗