Temporal environmental variation may impose differential selection on both genomic and ecological traits

The response of populations and species to changing conditions determines how community composition will change functionally, including via trait shifts. Selection from standing variation has been suggested be more efficient than acquiring new mutations. Yet, studies on selection largely focus phenotypic in ecological traits, whereas the underlying genomic traits remain understudied. Using a genome-explicit, niche- individual-based model, we address potential interactions between shaping communities under an environmental selective forcing, namely temporal positively autocorrelated fluctuation. In this all are explicitly coded by genome. For our experiments, initialized 90 replicate communities, each with ca 350 initial species, characterized random combinations, 2D spatially explicit landscape two orthogonal gradients (temperature resource use). We exposed contrasting scenarios: without (i.e. static environments) variation. then analyzed emerging compositions both at community, population levels. Communities variable environments were poorer environments, abundant, genomes had lower genetic linkage, mean non-significant tendency towards higher numbers genes. surviving those selected for enhanced tolerance smaller biomass, which resulted faster life cycles thus also increased evolutionary rescue. Under variation, larger, less linked retained dispersal ability level level, opposite trend emerged biomass. Our results provide clues sexually-reproducing diploid plant might react highlights importance their interaction eco-evolutionary responses climates.