Evolutionary potential under heat and drought stress at the southern range edge of North American Arabidopsis lyrata

The warm edges of species’ distributions are vulnerable to global warming. Evidence is the recent range retraction from there found in many species. It is unclear why populations cannot easily adapt to warmer, drier, or combined hot and dry conditions and locally persist. Here, we assessed the ability to adapt to these stressors in the temperate species Arabidopsis lyrata. We grew plants from replicate seed families of a central population with high genetic diversity under a temperature and precipitation regime typical of the low-latitude margin or under hotter and/or drier conditions within naturally occurring amplitudes. We then calculated genetic variance-covariance (G-) matrices of traits depicting growth and allocation as well as selection vectors to compare the predicted adaptation potential under the different climate-stress regimes. We found that the sum of genetic variances and genetic correlations were not significantly different under stress as compared to benign conditions. ..., , , # Evolutionary potential under heat and drought stress at the southern range edge of North American *Arabidopsis lyrata*

With the given dataset and R script, you can replicate a G-matrix calculation for four treatments via MCMCglmm as well as D-matrix and selection vector & selection response estimations.

To assess a pre-calculated dataset and obtain results and graphs please use the VCtype = \"dummy\" option.

To run the analysis please set the VCtype = \"MCMCglmm\" option.

## Description of the data and file structure

Data files include original/raw data (.csv & .xlsx files) and step files (description below) for the G-matrix analysis.

### R script:

* R markdown file with the reproducible code (G-matrix-analysis_dryad.Rmd)
* R HTML file with the reproducible \"dummy\" dataset
* \"sourced functions\" R script with necessary functions

### data\_files folder:

different raw data files and AIC-corrected data files

* \"StressExp_JHJS_230131\" raw data for all plants without ...