PubMed · 7198547
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Z W Pylyshyn. Psychological explanations and knowledge-dependent processes.. https://doi.org/10.1016/0010-0277(81)90056-1
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Genetic variation in behavioral traits allows organisms to respond and adapt to environmental challenges. Genetic variation in behavior is often affected by many genes and thus has a complex genetic basis. Inversions, the reorientation of genes along the chromosome, tightly link genetic variants together because they suppress recombination. Therefore, inversions are believed to have a major impact on phenotypic variation because they combine the effects of multiple genes, which can pleiotropically alter multiple aspects of behavior. This study investigates how the inversion In(2L)t, found in Drosophila melanogaster populations around the world, impacts different aspects of behavior in an environment-sensitive manner. We test the activity, foraging, and startle-induced behavior of flies with different In(2L)t genotypes across sex and temperatures. We observe that Drosophila homozygous for In(2L)t sleep less frequently, spend more time away from a food source, and have a longer duration of startle response. Additionally, the impacts of In(2L)t on aspects of behavior can be sex-specific and are largely consistent across temperatures. Taken together, our research demonstrates that inversions can regulate aspects of behavior, and suggests hypotheses explaining the distribution of In(2L)t across space and time.
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Temporal changes in the tolerance to alcohol are rarely discussed. In the behavioral theory proposed here, the rate of increase in tolerance during alcohol exposure is described by linear equations with zero intercept. These equations describe the rate of tolerance growth for acute tolerance, the rate of tolerance growth after alcohol dosing (chronic tolerance), and, for cases in which tolerance has been conditioned, the equations also describe changes in the rate of growth of tolerance when the stimulus set changes. This theory does not explain tolerance acquisition, but may be useful in investigating the physiological basis for tolerance acquisition because it provides numerical values for momentary tolerance that can be compared with concurrent physiological changes. The theory is testable and most of the published behavioral data on non-conditioned tolerance are consistent with the proposed theory. New empirical data on conditioned tolerance are needed to evaluate the proposed theory, and the design for an evaluation is suggested here. Despite its limitations, the theory serves as one example of what a mathematical theory for tolerance might be and may stimulate the development of competing theories with which it could be compared empirically.