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Of Epistemes and Insects: How Drosophila and Butterflies Shape Our Understanding of Radiation Risk
Donna M Goldstein1, Magdalena E Stawkowski2
1University of Colorado Boulder, Boulder, USA. donna.goldstein@colorado.edu.
Journal of the History of Biology
|March 19, 2026
Summary
Extrapolating insect data for nuclear exposure effects on humans is complex. Research biases, like the Drosophila bias in radiation genetics, may overlook crucial findings from other organisms, impacting our understanding of human radiation harm.
Area of Science:
- Radiation Biology
- Genetics
- Environmental Science
Background:
- Animal studies are crucial for understanding radiation exposure effects.
- Extrapolation of animal data to human radiation effects faces scientific challenges.
- The historical dominance of Drosophila in radiation genetics research may introduce bias.
Purpose of the Study:
- To explore the complexities of extrapolating insect data to human nuclear exposure effects.
- To investigate the influence of model organism choice (Drosophila) on radiation genetics research.
- To examine the concept of human exceptionalism in radiation biology.
Main Methods:
- Genealogical analysis of Drosophila's dominance in radiation genetics.
- Examination of epistemic frameworks in radiation biology.
- Consideration of Michel Foucault's ideas on epistemes and human exceptionalism.
Main Results:
- The dominance of Drosophila created a framework that often dismissed contradictory evidence from other organisms, such as Lepidoptera.
- Human exceptionalism contributes to dismissing animal study findings due to perceived human resilience.
- Established frameworks of population resilience persist, influencing the interpretation of radiation biology evidence.
Conclusions:
- The choice of Drosophila as a dominant model organism may have created a "Drosophila bias" in radiation genetics.
- Contradictory findings, like those from Lepidoptera, challenge conventional understanding rather than being dismissed.
- Re-evaluating evidence frameworks is necessary to accurately assess radiation effects on humans.
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