Modelling multilocus selection in an individual‐based, spatially‐explicit landscape genetics framework

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...

Full description

Saved in:
Bibliographic Details
Published in:Molecular ecology resources 2020-03, Vol.20 (2), p.605-615
Main Authors: Landguth, Erin L., Forester, Brenna R., Eckert, Andrew J., Shirk, Andrew J., Menon, Mitra, Whipple, Amy, Day, Casey C., Cushman, Samuel A.
Format: Article
Language:English
Subjects:
CDMetaPOP
CDPOP
Computer simulation
Environmental gradient
fitness surfaces
Gene flow
Genetics
Genotypes
landscape resistance
Loci
Modules
Multivariate analysis
natural selection
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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. We then evaluated results for simulations under a simple landscape selection model. Next, we simulated individual‐based multilocus selection across a complex selection landscape with three loci linked to three different environmental variables. 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. 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.
ISSN:1755-098X
1755-0998
DOI:10.1111/1755-0998.13121