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Published November 26, 2019 | Version v1
Dataset Open

Data from: Modeling multilocus selection in an individual-based, spatially-explicit landscape genetics framework

  • 1. University of Montana
  • 2. Colorado State University
  • 3. Virginia Commonwealth University
  • 4. University of Washington
  • 5. Northern Arizona University
  • 6. Rocky Mountain Research Station

Description

We implemented multilocus selection in a spatially-explicit, individual-based framework that enables multivariate environmental gradients to drive selection in many loci as a new module for the landscape genetics programs, CDPOP and CDMetaPOP. Our module simulates multilocus selection using a linear additive model, providing a flexible platform to evaluate a wide range of genotype-environment associations. Importantly, the module allows simulation of selection in any number of loci under the influence of any number of environmental variables. We validated the module with individual-based selection simulations under Wright-Fisher assumptions (Figure 3 and data provided here). We then evaluated results for simulations under a simple landscape selection model (Figure 4 and data provided here). Next, we simulated individual-based multilocus selection across a complex selection landscape with three loci linked to three different environmental variables (Figure 5 and data provided here). Finally, we demonstrated how the program can be used to simulate multilocus selection under varying selection strengths across different levels of gene flow in a landscape genetics framework (Figure 6 and data provided here). This new module provides a valuable addition to the study of landscape genetics, allowing for explicit evaluation of the contributions and interactions between gene flow and selection-driven processes across complex, multivariate environmental and landscape conditions.

Notes

CDPOP individual files are included in folders (e.g., batchrun0mcrun0), and labeled grid0.csv,..., grid{final time}.csv. Within each grid{time}.csv file, includes many field identifies (X,Y, age, sex, and genotypes, etc.). For more information on the format of these files, please refer to the CDPOP usermanual found at github.com/ComputationalEcologyLab/CDPOP/docs. 

Funding provided by: National Science Foundation
Crossref Funder Registry ID: http://dx.doi.org/10.13039/100000001
Award Number: EF-1442486

Funding provided by: National Science Foundation
Crossref Funder Registry ID: http://dx.doi.org/10.13039/100000001
Award Number: EF-1442597

Funding provided by: National Science Foundation
Crossref Funder Registry ID: http://dx.doi.org/10.13039/100000001
Award Number: DEB-1340852

Files

1LocusModel_v2Rescaled_Global_WFTriangleAA_1540583012_Figure4A.zip

Additional details

Related works

Is cited by
10.1111/1755-0998.13121 (DOI)