The evolution of Thermal Performance Curves and life-history traits in responses to thermal selection
Data files
Apr 07, 2026 version files 477.38 KB
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README.md
1.64 KB
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TPC_Submission.zip
475.74 KB
Abstract
Thermal performance curves (TPCs) capture how population growth depends on temperature. When temperatures increase, such as during global change, TPCs may evolve to match new environmental temperatures. While previous studies mostly focus on population growth rate TPCs, evolution can also be strongly trait-dependent and require a multi-trait analysis. Here, we empirically tested how TPCs and multiple demographic, life-history and movement traits evolve by selecting four freshwater protist species at increased temperatures starting from clonal populations. After ten months of selection, populations showed a signature of evolutionary responses to the highest selection temperatures in different traits depending on the species. Particularly, we found consistent evolutionary reductions in body size in the three species having the largest cells and evolved changes in movement behaviour in all species. In contrast, we observed few modifications in population growth rate TPCs. These results suggest that adaptation, via evolution of TPCs, might involve the concurrent evolution of several traits. However, this may be species-specific and difficult from de-novo mutation alone, suggesting that natural populations that do not have sufficient standing genetic variation might have to rely on other means of mitigating the effects of climate change, such as dispersal.
Dataset DOI: 10.5061/dryad.q83bk3jxx
Description of the data and file structure
Data is structured into 3 folders: niche, R0 and traits. The "R0" folder contains data relevant to calculate intrinsic rate of increase as a function of temperature, "niche" contains relevant data for constructing niches/TPCs and "traits" contains protist traits across temperatures.
Files and variables
File: TPC_Submission.zip
Description: every folder contains a respective readme file with relevant information. Every folder also contains data (txt format) as well as analysis scripts (R).
Information also provided in the main text. Temperature in the dataset is always given in Celsius degrees.
Fit_R0:
The folder contains data and script to obtain the r0 estimates (growth rate in 1/h) for each individual replicate
Fit_niche:
Data and script to fit the thermal performance curves (TPC) using the r0 estimates from the "Fit_r0" folder
* Niche_Parameters: data and script to analyse the TPC parameters obtain in "Fit_Niche"
* Rmax_Topt: Data and script to calculate and analyse Rmax and Topt
Traits:
Data and script to analyse the seven measured traits of the 4 species in the study
Code/software
Data can be viewed with any text editor or imported in software handling tables. The statistical software used here is R.
Access information
Other publicly accessible locations of the data:
- none
Data was derived from the following sources:
- none
