S. Yeaman

Genetic architecture underlying response to the fungal pathogen Dothistroma septosporum in lodgepole pine, jack pine, and their hybrids

This study identifies genetic factors underlying resistance to Dothistroma septosporum in lodgepole pine, jack pine, and their hybrids using genome-wide association analysis.

Repeated global adaptation across plant species

This study identifies gene families involved in repeated global adaptation across 17 plant species, showing reduced pleiotropy and increased gene duplication compared to local adaptation.

Conditionally deleterious mutation load accumulates in genomic islands but can be purged with sufficient genotypic redundancy

The paper shows that conditionally deleterious mutations accumulate near adaptive loci in genomic islands but can be purged with genotypic redundancy through simulations.

Repeatability of adaptation in sunflowers: genomic regions harbouring inversions also drive adaptation in species lacking an inversion

The paper investigates the repeatability of adaptation in sunflowers, finding that genomic regions with inversions contribute to adaptation even in species without such inversions.

How useful is genomic data for predicting maladaptation to future climate?

The paper evaluates two methods for predicting population maladaptation to climate change using genomic data and finds they outperform climatic distances but have limited predictive consistency across future climates.

Using genome scans to identify genes used repeatedly for adaptation

This study introduces PicMin, a statistical method to test for repeated molecular evolution at the gene level using genome scan results, showing increased power with more lineages showing adaptation signals.

The WZA: A window-based method for characterizing genotype-environment association

The paper introduces the WZA method for GEA studies, which outperforms single-SNP approaches in detecting genotype-environment associations in heterogeneous environments.

Local adaptation can cause both peaks and troughs in nucleotide diversity within populations

The paper shows local adaptation can increase or decrease nucleotide diversity depending on migration and selection strengths, with no universal diagnostic signature but peaks suggesting adaptation.

Variation in recombination rate affects detection of outliers in genome scans under neutrality

This study shows that recombination rate variation affects the distribution of FST in genome scans, leading to potential false positives and conservative results in low recombination regions.

Massive haplotypes underlie ecotypic differentiation in sunflowers

The paper identifies large haplotype blocks associated with ecotypic differentiation in sunflowers, showing how structural variation maintains adaptive alleles despite hybridization.

Global adaptation confounds the search for local adaptation

This study shows that global adaptation can create FST outliers, potentially misleading interpretations of local adaptation in genome scans.

Unpacking conditional neutrality: genomic signatures of selection on conditionally beneficial and conditionally deleterious mutations

This paper shows that conditionally deleterious mutations can mimic local adaptation signals in genomes, challenging traditional interpretations of adaptation signatures.

Modularity of genes involved in local adaptation to climate despite physical linkage

The paper introduces co-association network analysis to study genetic modularity in lodgepole pine's adaptation to climate, finding support for modular architectures but not increased recombination.

Quantifying how constraints limit the diversity of viable routes to adaptation

The paper introduces metrics to quantify constraints on genetic adaptation repeatability and assesses their application in yeast and conifer datasets.

Effect of migration and environmental heterogeneity on the maintenance of quantitative variation: a simulation study

This study uses simulations to show spatial environmental heterogeneity and intermediate migration rates can maintain higher genetic variation than mutation-selection balance, but this effect is limited in parameter space.