Implications of diet and exercise with interaction of allelic variations in the Berlin Fat Mouse line

Facts

Run time
06/2008  – 12/2011
Sponsors

Federal Ministry of Research, Technology and Space

Description

Genetic variations as well as environmental impacts like diet and exercise affect the fat deposition of an organism. This project addresses both aspects in two different approaches: Within the first approach, methods for the detailed in silico characterization of mutations were developed while the second approach investigated the influence of exercise and diet on fat deposition in a genetically predisposed mouse model. To characterize genetic variations in silico, the software-tools CandiSNPer and NovelSNPer have been developed. CandiSNPer charakterizes SNPs (single nucleotide polymorphism) that were found statistically significantly associated with a trait of interest in genome-wide association studies. In a first step, this tool finds SNPs which are in linkage disequilibirum with the given SNP (start-SNP). In a second step, all reference SNPs are listed with the annotation such as chromosomal position, type of SNP (e.g. startgain, startloss SNPs), nearest gene, conservation score. Thus, the potential effect of the SNP on the phenotype can be assessed. The software-tool NovelSNPer characterizes SNPs as well as insertions and deletions from Next-Generation-Sequencing datasets. Due to the automatic monitoring of databases, NovelSNPer decides in a very short time period if found variants are already represented in standard databases or if they are novel. To gain further insight into the relationship between significant and causal SNPs, we had a closer look onto all SNPs that were identified as associated with a trait in 600 studies as of June 2010. We found that non-synonymous SNPs were four times as often associated with a trait as expected according to their abundance on standard genotyping platforms. Putatively causal SNPs were, furthermore, often found in membrane associated genes and in signal transduction genes. In the second part of the project, the influences of the onset of continuous exercise (from the childhood or early adulthood) on body composition and metabolic parameters were investigated. The investigations were performed with the Berlin Fat Mouse Inbred (BFMI) line. BFMI mice show a higher fat deposition in adipose tissues as well as in organs due to its genetic predisposition. Besides the high fatness, this mouse line exhibits features of the metabolic syndrome such as high insulin and triglyceride concentrations and a lowered glucose tolerance. Although the motivation for BFMI mice to exercise is relatively low, exercise from childhood on reduced genetically determined fat deposition on both, a high-fat and a standard diet, and led to diminished insulin, triglyceride and cholesterol concentrations in adulthood. The energy intake was not elevated due to exercise during childhood. Onset of exercise from early adulthood on increased daily energy intake. Hence, within this group body weight and fat content was stabilized but not reduced. Nevertheless, the animals had an improved glucose tolerance in comparison to the mice with exercise from childhood or control mice without exercise. This led to the assumption that the impact of exercise on glucose homeostasis decreases as soon as the animal is adapted to physical activity. Despite the different effect of the onset of exercise, the average daily running activity was the same in all animals. In cooperation with the Proteomcenter of the Ruhr-Universit?t Bochum, the effect of the exercise on standard diet was examined in muscle and adipose tissue in a proteome analysis. In the muscular tissue, only few differences could be detected in the proteome between the exercise groups (about 1% differentially expressed proteins). The differences were mainly detected in proteins belonging to the metabolism. In the adipose tissue, clear differences were found between the onset of the exercise at childhood compared to onset from adulthood and the control group. More than 300 differentially expressed protein spots could be detected (about 10% of the protein spots), which was in part due to the elevated number of antigen-presenting cells (e.g. macrophages).

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