Die Funktion des Arginins in den Enzymen

The Science of Nature - The average arginine content of proteins is 3.9%. Its frequency among the 20 amino acids of the proteins (13th position) is far lower than would be anticipated from the fact...     

Scanning tunneling microscopy (STM) of the Mo-Fe protein component ofAzotobacter vinelandii nitrogenase

The Science of Nature -     

PEPC-Aktivität

The criteria currently used to determine the extent of novel forest decline areleaf loss andyellowing of leaves. However, these criteria have only a limited value for indicating damage of woody trees, especially the early stages. Therefore, physiological-biochemical parameters will be useful to measure the extent of forest decline. Results from several natural spruce stands indicate that in needles with early signs of damage and needles with severe damage PEPC activity is significantly higher than in needles of healthy plants. Therefore, PEPC activity can reveal beginning damage and may be used as abiochemical indicator for damage assessments of spruce. The influence of air pollutants on PEPC activity in spruce needles was measured in fumigation chambers and open-top chambers; PEPC activity was shown to be affected by long-term exposition only.     

Uptake of nitroaromatic compounds in plants

The uptake of nitroaromatic compounds by plants from the soil was studied at an ammunition site. After the development of analytical methods for 2,4,6-trinitrotoluene, aminodinitrotoluenes and dinitrotoluenes in plant material, we could show that these substances accumulated in the roots of plants and are found to a lesser extent inleaves and stems. We observed only moderate differences between various plant species. It is likely that a metabolic transformation in plants leads to the formation of dinitrotoluenes which are considered to be potent carcinogens. Results from soils with a wide range of explosive concentrations show a good correlation between the plant and soil concentrations. The relative accumulation in plant material is higher at lower soil concentrations. At low soil concentrations of about 1 mg trinitrotoluene/kg soil, an accumulation factor of about 0.5 can be derived. These data are an important input for the risk assessment of ammunition sites.     

Modelling Replicated Weed Growth Data using Spatially-varying Growth Curves

Weed growth in agricultural fields constitutes a major deterrent to the growth of crops, often resulting in low productivity and huge losses for the farmers. Therefore, proper understanding of patterns in weed growth is vital to agricultural research. Recent advances in Geographical Information Systems (GIS) now allow geocoding of agricultural data, which enable more sophisticated spatial analysis. Our current application concerns the development of statistical models for conducting spatial analysis of growth patterns in weeds. Our data comes from an experiment conducted in Waseca, Minnesota, that recorded growth of the weed Setariaspp. We capture the spatial variation in Setaria spp. growth using spatially-varying growth curves. An added challenge is that these designs are spatially replicated, with each plot being a lattice of sub-plots. Therefore, spatial variation may exist at different resolutions – a macro level variation between the plots and micro level variation between the sub-plots nested within each plot. We develop a Bayesian hierarchical framework for this setting. Flexible classes of models result which are fitted using simulation-based methods.