CCK, dietary variety, and food intake in rats /

Among the environmental factors that can affect food intake is the extent of dietary variety available in the environment. Numerous studies have demonstrated that variety in a meal can increase the amount of food consumed in humans, rats, and other species. A physiological mechanism that has been demonstrated to affect food intake is the gut peptide cholecystokinin (CCK) which is released from the upper small intestine during the ingestion of food. Peripherally administered CCK has a robust inhibitory effect on the intake of a single-food meal. Thus, dietary variety and CCK both affect meal size, with dietary variety increasing intake and CCK decreasing intake. This raises the question ofhow dietary variety and CCK might interact to affect meal size. Previous studies of CCK's effects have focused on situations in which only one food was available for consumption. However, in an animal's natural environment it would frequently occur that the animal would come across a number of foods either simultaneously or in quick succession, thus providing the animal access to a variety of foods during a meal. Accordingly, the effect ofCCK on food intake in single-food and multiple-food meals was examined. It was found that food intake was greater in multiple-food than in single-food meals provided that foods in the multiplefood meal were presented either simultaneously or in increasing order of preference. When foods in the multiple-food meal were presented in decreasing order of preference, intake was similar to that observed in single-food meals. In addition, it was found that CCK inhibited food intake in a dose-dependent manner, and that its effects on food intake were similar regardless of meal type. Therefore, the inhibitory effects ofCCK were not diminished when a variety of foods were available for consumption. Furthermore, the finding that CCK did not differentially affect the intake of the two types of meals does not provide support for the recent-foods hypothesis which postulates that CCK decreases food intake by reducing the palatability of only recently consumed foods. However, it is consistent with the all-foods hypothesis, which predicts that CCK reduces food intake by decreasing the palatability of all foods. The 600 ng/kg dose of the CCK^-antagonist lorglumide significantly antagonized the inhibitory effect of exogenous CCK on food intake, and the magnitude of this effect was similar for both types of meal. These results suggest that exogenous CCK inhibits food intake through the activation ofCCK^ receptors. However, when administered by itself, the 600^ig/kg dose of lorglumide did not increase food intake in either single-food or multiple-food meals, suggesting that peripheral endogenous CCK may not play a major role in the control of food intake.

A Study of Ordered Gene Problems Featuring DNA Error Correction and DNA Fragment Assembly with a Variety of Heuristics, Genetic Algorithm Variations, and Dynamic Representations

Ordered gene problems are a very common classification of optimization problems. Because of their popularity countless algorithms have been developed in an attempt to find high quality solutions to the problems. It is also common to see many different types of problems reduced to ordered gene style problems as there are many popular heuristics and metaheuristics for them due to their popularity. Multiple ordered gene problems are studied, namely, the travelling salesman problem, bin packing problem, and graph colouring problem. In addition, two bioinformatics problems not traditionally seen as ordered gene problems are studied: DNA error correction and DNA fragment assembly. These problems are studied with multiple variations and combinations of heuristics and metaheuristics with two distinct types or representations. The majority of the algorithms are built around the Recentering- Restarting Genetic Algorithm. The algorithm variations were successful on all problems studied, and particularly for the two bioinformatics problems. For DNA Error Correction multiple cases were found with 100% of the codes being corrected. The algorithm variations were also able to beat all other state-of-the-art DNA Fragment Assemblers on 13 out of 16 benchmark problem instances.