Genetic structure and gene flow among populations of Encholirium magalhaesii, a rocky grassland fields bromeliad

Gonçalves-Oliveira, Rodrigo Cesar; Wöhrmann, Tina; Weising, Kurt; Wanderley, Maria das Graças Lapa; Benko‐Iseppon, Ana Maria

doi:10.1007/s40415-020-00600-z

Cited by 4 publications

(1 citation statement)

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“…Deviations are in accordance for what is expected from global pollen movement, namely slightly more gamma richness in variable environments possibly due to increased mating success, loss of selective pressure on genetic linkage and overall slightly better maintenance of standing variation at both phenotypic and genetic levels possibly due to prolonging the presence of genotypic variants that would have been otherwise filtered out at environmental limits (Supporting information). Although empirical and modelling comparisons between pollen‐ and seed‐mediated gene flow is scarce for herb species, pollen‐mediated gene flow seems indeed to maintain genetic variation (for single herb species see Helsen et al 2016, Gonçalves‐Oliveira et al 2020). Hence, the small differences observed in these explorative simulations indicate promising research directions.…”

Section: Methodsmentioning

confidence: 99%

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

Leidinger

Vedder

Cabral

2021

Oikos

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

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Section: Methodsmentioning

confidence: 99%