Data from: Freeze-tolerant frogs accumulate cryoprotectants using photoperiod: A potential ecological trap
Data files
Sep 24, 2025 version files 2.75 MB
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2023_Photo-Gray_all-hobo.xlsx
2.31 MB
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2023_Photo-Gray_Amphibian.xlsx
23.70 KB
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2023_Photo-Gray_daily-hobo.xlsx
35.65 KB
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2023_Photo-Gray_Daylength.xlsx
16.66 KB
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2023_Photo-Gray_DO.xlsx
12.18 KB
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2023_Photo-Gray_during-mani.xlsx
265.28 KB
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2023_Photo-Gray_Glycogen.xlsx
22.06 KB
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2023_Photo-Gray_Periphyton.xlsx
10.30 KB
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2023_Photo-Gray_Phytoplankton.xlsx
16.44 KB
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2023_Photo-Gray_Plasma.xlsx
10.86 KB
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2023_Photo-Gray_Temp-Select.xlsx
28.21 KB
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README.md
2.16 KB
Abstract
Climate change is disrupting the reliability of photoperiod as a cue signaling seasonal changes in temperature. Organisms relying on autumn photoperiods to trigger physiological adaptations to survive winter may incorrectly time the onset of winter and exhibit maladaptive responses. Here, we demonstrate that a mid-autumn photoperiod causes a freeze-tolerant amphibian (Hyla versicolor) to accumulate large reserves of cryoprotectants (i.e. “antifreeze”) and exhibit greater cold tolerance. Treefrogs raised under a mid-autumn photoperiod had both higher concentrations of glycogen in liver tissue and larger livers compared to individuals from other photoperiods. This resulted in treefrogs with much greater total liver glycogen reserves. However, treefrogs in the mid-autumn photoperiod also had reduced size-specific growth rates. Photoperiod alone, without decreases in temperature, induced these physiological changes. As global warming continues to expand the growing season, organisms relying on photoperiod may enter an ecological trap where photoperiod no longer accurately signals seasonal changes in temperature.
https://doi.org/10.5061/dryad.ffbg79d2n
Description of the data and file structure
Theses datasets include data collected from an experiment where we manipulated photoperiod across gray treefrog (Hyla versicolor) development. We assessed a variety of traits ranging from growth to cryoprotectant accumulation. We provide data on phytoplankton and periphyton abundances during larval treefrog development in outdoor mesocosms. We also provide data on water temperature and dissolved oxygen in these mesocosms.
List of datasets
- 2023_Photo-Gray_all-hobo.xlsx
- 2023_Photo-Gray_Amphibian.xlsx
- n/a refers to animals that were preserved at metamorphosis and thus were not part of the thermal physiology trials/measurements.
- 2023_Photo-Gray_daily-hobo.xlsx
- 2023_Photo-Gray_Daylength.xlsx
- 2023_Photo-Gray_DO.xlsx
- n/a refers to measurements that are not relevant to the photoperiod manipulation.
- 2023_Photo-Gray_during-mani.xlsx
- 2023_Photo-Gray_Glycogen.xlsx
- 2023_Photo-Gray_Periphyton.xlsx
- 2023_Photo-Gray_Phytoplankton.xlsx
- 2023_Photo-Gray_Plasma.xlsx
- 2023_Photo-Gray_Temp-Select.xlsx
Code/Software
We provide two R Markdown files for both the primary analyses presented in the main body of the manuscript and also supplementary analyses for the supplemental results. For most analyses, we fit linear mixed-effects models using the lmer function from the lme4 package and obtained P-values using Likelihood-Ratio Tests with anova. We included mesocosm as a random effect in most models. Tukey HSD post hoc tests were conducted using emmeans from the emmeans package to determine significant pairwise differences between photoperiod treatments when a main effect of photoperiod was present in the Likelihood-Ratio Test. Significant interactions are included if present. Block was dropped from models when not significant. For the temperature selection model, we conducted a repeated measures ANOVA using lmer by setting the individual as a repeated measure.
