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A notable feature of advanced eusocial insect groups is a division of labor within the sterile worker caste. However, the physiological aspects underlying the differentiation of behavioral phenotypes are poorly understood in one of the most successful social taxa, the ants. By starting to understand the foundations on which social

A notable feature of advanced eusocial insect groups is a division of labor within the sterile worker caste. However, the physiological aspects underlying the differentiation of behavioral phenotypes are poorly understood in one of the most successful social taxa, the ants. By starting to understand the foundations on which social behaviors are built, it also becomes possible to better evaluate hypothetical explanations regarding the mechanisms behind the evolution of insect eusociality, such as the argument that the reproductive regulatory infrastructure of solitary ancestors was co-opted and modified to produce distinct castes. This dissertation provides new information regarding the internal factors that could underlie the division of labor observed in both founding queens and workers of Pogonomyrmex californicus ants, and shows that changes in task performance are correlated with differences in reproductive physiology in both castes. In queens and workers, foraging behavior is linked to elevated levels of the reproductively-associated juvenile hormone (JH), and, in workers, this behavioral change is accompanied by depressed levels of ecdysteroid hormones. In both castes, the transition to foraging is also associated with reduced ovarian activity. Further investigation shows that queens remain behaviorally plastic, even after worker emergence, but the association between JH and behavioral bias remains the same, suggesting that this hormone is an important component of behavioral development in these ants. In addition to these reproductive factors, treatment with an inhibitor of the nutrient-sensing pathway Target of Rapamycin (TOR) also causes queens to become biased towards foraging, suggesting an additional sensory component that could play an important role in division of labor. Overall, this work provides novel identification of the possible regulators behind ant division of labor, and suggests how reproductive physiology could play an important role in the evolution and regulation of non-reproductive social behaviors.
ContributorsDolezal, Adam G (Author) / Amdam, Gro V (Thesis advisor) / Brent, Colin S. (Committee member) / Gadau, Juergen (Committee member) / Hoelldobler, Bert (Committee member) / Liebig, Juergen (Committee member) / Arizona State University (Publisher)
Created2012
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Motor learning is the process of improving task execution according to some measure of performance. This can be divided into skill learning, a model-free process, and adaptation, a model-based process. Prior studies have indicated that adaptation results from two complementary learning systems with parallel organization. This report attempted to answer

Motor learning is the process of improving task execution according to some measure of performance. This can be divided into skill learning, a model-free process, and adaptation, a model-based process. Prior studies have indicated that adaptation results from two complementary learning systems with parallel organization. This report attempted to answer the question of whether a similar interaction leads to savings, a model-free process that is described as faster relearning when experiencing something familiar. This was tested in a two-week reaching task conducted on a robotic arm capable of perturbing movements. The task was designed so that the two sessions differed in their history of errors. By measuring the change in the learning rate, the savings was determined at various points. The results showed that the history of errors successfully modulated savings. Thus, this supports the notion that the two complementary systems interact to develop savings. Additionally, this report was part of a larger study that will explore the organizational structure of the complementary systems as well as the neural basis of this motor learning.

ContributorsRuta, Michael (Author) / Santello, Marco (Thesis director) / Blais, Chris (Committee member) / School of Mathematical and Statistical Sciences (Contributor) / School of Molecular Sciences (Contributor) / School of Human Evolution & Social Change (Contributor) / Barrett, The Honors College (Contributor)
Created2021-05
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Stress activates physiological systems within the body to protect oneself against the potential harmful effects of enduring long-term stress. Past studies have shown that structures involved in timing are implicated in a number of psychological disorders and further are sensitive to stress. In this experiment, Sprague Dawley rats are trained

Stress activates physiological systems within the body to protect oneself against the potential harmful effects of enduring long-term stress. Past studies have shown that structures involved in timing are implicated in a number of psychological disorders and further are sensitive to stress. In this experiment, Sprague Dawley rats are trained to perform a perspective timing task and are then exposed to twice-daily chronic variable stress for 21 days. Behavioral data are collected, followed by post-mortem tissue analysis of the PFC, hippocampus, and striatum. This study aims to examine the morphological changes in key brain regions such as the hippocampus that appear to be involved in interval timing. Additionally, this study aims to confirm that dendritic complexity in the hippocampus produces consistent data using a classic Sholl analysis versus using a virtual image-stacking software, Neurostackr. The results of this study demonstrate that the expected Gaussian graph produced from a classic Sholl analysis was produced from both a long-shaft and short-shaft neuron found in the hippocampus using the virtual technology. These findings verify that a virtual image-stacking software and Sholl analysis will suffice in place of the traditional method of hand traced neurons on a transparent sheet with concentric circles to count bifurcation points. This virtual method ultimately reduces cost, improves timeliness of data collection, and eliminates some of the subjectivity of human error.
ContributorsGarcia, Jasmine Brooke (Author) / Sanabria, Federico (Thesis director) / Gupta, Tanya (Committee member) / School of Molecular Sciences (Contributor) / Barrett, The Honors College (Contributor)
Created2020-05