Development of an immuno-immobilized androgen receptor assay (IRA) and its application for the characterization of the receptor binding affinity of different pesticides

Pesticides are synthetic chemicals used not only for improving food and feed production but also for the protection of materials and of human health and well-being. Some of these substances are suspected for adverse effects attributable to an interaction with the endocrine system of vertebrates by mimicking or inhibiting endogenous hormones. One of the biological targets important in this relation is the androgen receptor (AR). To be able to screen environmental samples for the presence of compounds which might interfere with androgen action, we aimed to develop a receptor assay based on recombinant human AR (rhAR). We herein describe an rhAR assay in which the receptor is immobilized in microtiter plates via a specific antibody. The assay can be used for high throughput screening of chemicals spread into the environment. 29 of the most recommended pesticides of the Federal Country Hessen, Germany, were tested for their ability to displace [3H]-DHT bound to the rhAR. This evaluation included the major part of the most common herbicides, insecticides and fungicides and covered three potential groups of endocrine disrupting chemicals. For 28 of the substances evaluated, the relative binding affinity to the rhAR was below 0.1% when compared to dihydrotestosterone (DHT) (100%), only fentinacetate exhibited an affinity of 1.42%. An exchange assay indicated that the binding inhibition was reversible. In consequence, fentinacetate seems to be a hormonally active substance which may be present in vegetables or fish, but also on clothing. We conclude that further investigations on this compound and its metabolites are necessary.     

A simulation approach to evolutionary game theory: the evolution of time-sharing behaviour in a dragonfly mating system

Summary The time-sharing behaviour of dragonfly males (Aeschna cyanea, Odonata) at the mating place is investigated. By computer simulation of the males' interactions the expected number of copulations for different strategies is quantified. The simulation results show that a male's mating succes depends on his strategy and that a strategy's specific pay-off depends on the frequency distribution of strategies in the population. Based on these results, a method for the simulation of the evolutionary process is presented. This approach to evolutionary game theory allows the prediction of evolutionarily stable strategies (ESS), even when the system studied is far too complex for an analytical solution. For the time-sharing behaviour of Ac. cyanea males at the mating place the ESS predicted by the simulation approach complies with field observations.