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Cold trapped - Correcting locomotion dependent observation biases in thermal preference of Drosophila

View ORCID ProfileDiego Giraldo, Andrea K. Adden, View ORCID ProfileIlyas Kuhlemann, Heribert Gras, View ORCID ProfileBart R. H. Geurten
doi: https://doi.org/10.1101/400069
Diego Giraldo
1Department for Cellular Neurobiology, Institute for Zoology and Anthropology, Georg-August University Göttingen, Germany
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Andrea K. Adden
1Department for Cellular Neurobiology, Institute for Zoology and Anthropology, Georg-August University Göttingen, Germany
2Vision Group, Department of Biology, Lund University, Sweden
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Ilyas Kuhlemann
3Department for Biophysical Chemistry, Institute for Physical Chemistry, Georg-August University Göttingen, Germany
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Heribert Gras
1Department for Cellular Neurobiology, Institute for Zoology and Anthropology, Georg-August University Göttingen, Germany
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Bart R. H. Geurten
1Department for Cellular Neurobiology, Institute for Zoology and Anthropology, Georg-August University Göttingen, Germany
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Abstract

Sensing environmental temperatures is essential for the survival of ectothermic organisms. In Drosophila, two methodologies are used to study temperature preferences (TP) and the genes involved in thermosensation: two-choice assays and temperature gradients. Whereas two-choice assays reveal a relative TP, temperature gradients can identify the absolute Tp. One drawback of gradients is that small ectothermic animals are susceptible to cold-trapping: a physiological inability to move at the cold area of the gradient. Often cold-trapping cannot be avoided, biasing the resulting TP to lower temperatures. Two mathematical models were previously developed to correct for cold-trapping. These models, however, focus on group behaviour which can lead to overestimation of cold-trapping due to group aggregation. Here we present a mathematical model that estimates the behaviour of individual Drosophilain temperature gradients. The model takes the spatial dimension and temperature difference of the gradient into account, as well as the rearing temperature of the flies. Furthermore, it allows quantifying cold-trapping, reveals true TP, and differentiates between temperature preference and tolerance. Online simulation is hosted at http://igloo.uni-goettingen.de. The code can be accessed at https://github.com/zerotonin/igloo.

Abbreviations
IGLOO
IGLOO is a Gradient LOcomotion mOdel
wt18
CantonS adult flies reared at 18°C temperature
wt25
CantonS adult flies reared at 25°C temperature
wt30
CantonS adult flies reared at 30°C temperature
wtL
CantonS larval flies reared at 25°C temperature
TP
temperature preference
TR
rearing temperature
TA
ambient temperature
TB
body temperature
CI
confidence interval
Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-ND 4.0 International license.
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Posted August 24, 2018.
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Cold trapped - Correcting locomotion dependent observation biases in thermal preference of Drosophila
Diego Giraldo, Andrea K. Adden, Ilyas Kuhlemann, Heribert Gras, Bart R. H. Geurten
bioRxiv 400069; doi: https://doi.org/10.1101/400069
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Cold trapped - Correcting locomotion dependent observation biases in thermal preference of Drosophila
Diego Giraldo, Andrea K. Adden, Ilyas Kuhlemann, Heribert Gras, Bart R. H. Geurten
bioRxiv 400069; doi: https://doi.org/10.1101/400069

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