Output model data from paradox of adaptive trait clines with non-clinal patterns in the underlying genes (Model Validation Program project)

Abstract

Background: Multivariate climate change presents an urgent need to understand how species adapt to complex environments. Population genetic theory predicts that loci under selection will form monotonic allele frequency clines with their selective environment, which has led to the wide use of genotype-environment associations (GEAs). This study used a novel set of In silico simulations to elucidate the conditions under which allele frequency clines are more or less likely to evolve as multiple quantitative traits adapt to multivariate environments.

Zenodo archive of GitHub Repository of all code used to create the simulations. Every directory includes a README describing the code, and metadata files are included for the archived outputs.

Modeling code details:

Code was developed 2020-2022

Simulation code was developed in SLiM, recapitated in pyslim, filtered with vcftools, and analyzed with R.

Code was developed by K. E. Lotterhos (PI)

For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/889769