PubMed · 11664197
The source did not provide an abstract. Follow the original record for more information.
Explore connections, maps & timelines
Peter R Breggin. 1973. The second wave.. https://pubmed.ncbi.nlm.nih.gov/11664197/
Cite the original work for its findings. Save a collection to share your selection of sources.
KEEP EXPLORING
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.
Explore the source record for details and available documents.
Clinical trials that compare pharmacological and behavioural treatments require extra attention to design on the part of the investigators. Many of the standard control mechanisms for comparison of active drug to placebo and behavioural therapy to control therapy create problems when the two types of interventions are combined. The most important of these problems is the introduction of non-specific effects introduced by behavioural therapists and physicians that can bias the study. Solutions to these problems require procedures that are common to both types of studies and the introduction of more complex statistical designs to adequately control the proposed comparisons. It may also be necessary to have a robust statistical method to address informative censoring since patients assigned to behavioural therapy may drop out of the study for different reasons than patients who drop out of a pharmacological trial. In this paper we use the design of the Raynaud's Treatment Study to demonstrate methods that can be used to control for non-specific effects and differential drop-out from the study.