Modeling 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 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). Fina...