Characterization of the chitinolytic system during the mycoparasitic interaction between Trichoderma aggressivum f. aggressivum and different host strains of Agaricus bisporus /

Green mould is a serious disease of commercially grown mushrooms, the causal agent being attributed to the filamentous soil fungus Triclzodenna aggressivum f. aggressivu11l and T. aggressivum f. ellropaellm. Found worldwide, and capable of devastating crops, this disease has caused millions of dollars in lost revenue within the mushroom industry. One mechanism used by TricllOdenlla spp. in the antagonism of other fungi, is the secretion of lytic enzymes such as chitinases, which actively degrade a host's cell wall. Therefore, the intent of this study was to examine the production of chitinase enzymes during the host-parasite interaction of Agaricus bisporus (commercial mushroom) and Triclzodemza aggressivum, focusing specifically on chitinase involvement in the differential resistance of white, off-white, and brown commercial mushroom strains. Chitinases isolated from cultures of A. bisporus and T. aggressivu11l grown together and separately, were identified following native PAGE, and analysis of fluorescence based on specific enzymatic cleavage of 4-methylumbelliferyl glucoside substrates. Results indicate that the interaction between T. aggressivulll and A. bisporus involves a complex enzyme battle. It was determined that T. aggressivum produces a number of chitinases that appear to correlate to those isolated in previous studies using biocontrol strains of T. Izarziallilm. A 122 kDa N-acetylglucosaminidase of T. aggressivu11l revealed the highest and most variable activity, and is therefore believed to be an important predictor of antifungal activity. Furthermore, results indicate that brown strain resistance of mushrooms may be related to high levels of a 96 kDa N-acetylglucosaminidase, which showed elevated activity in both solitary and dual cultures with T. aggressivum. Overall, each host-parasite combination produced unique enzyme profiles, with the majority of the differences seen between day 0 and day 6 for the extracellular chitinases. Therefore, it was concluded that the antagonistic behaviour of T. aggressivli1ll does not involve a typical response, always producing the same types and levels of enzymes, but that mycoparasitism, specifically in the form of chitinase production, may be induced and regulated based on the host presented.

Genetic programming for the RoboCup Rescue Simulation System

The Robocup Rescue Simulation System (RCRSS) is a dynamic system of multi-agent interaction, simulating a large-scale urban disaster scenario. Teams of rescue agents are charged with the tasks of minimizing civilian casualties and infrastructure damage while competing against limitations on time, communication, and awareness. This thesis provides the first known attempt of applying Genetic Programming (GP) to the development of behaviours necessary to perform well in the RCRSS. Specifically, this thesis studies the suitability of GP to evolve the operational behaviours required of each type of rescue agent in the RCRSS. The system developed is evaluated in terms of the consistency with which expected solutions are the target of convergence as well as by comparison to previous competition results. The results indicate that GP is capable of converging to some forms of expected behaviour, but that additional evolution in strategizing behaviours must be performed in order to become competitive. An enhancement to the standard GP algorithm is proposed which is shown to simplify the initial search space allowing evolution to occur much quicker. In addition, two forms of population are employed and compared in terms of their apparent effects on the evolution of control structures for intelligent rescue agents. The first is a single population in which each individual is comprised of three distinct trees for the respective control of three types of agents, the second is a set of three co-evolving subpopulations one for each type of agent. Multiple populations of cooperating individuals appear to achieve higher proficiencies in training, but testing on unseen instances raises the issue of overfitting.