Alan O. Bergland

The paper shows non-additive interactions among three intronic SNPs in the cpo gene affect life history traits and climatic adaptation in Drosophila melanogaster.

This study compares two Daphnia species to determine how environmental variability influences dormancy production and termination, finding greater investment in dormancy in ephemeral environments but similar termination cues across species.

This study uses genomic data from Drosophila melanogaster to show how fitness trade-offs manifest under fluctuating selection, identifying genomic regions linked to reproduction and stress tolerance.

The paper examines adaptive tracking in Drosophila suzukii, finding that polygenic traits like thermal tolerance show delayed evolutionary responses, while oligogenic traits exhibit stronger seasonal genomic signatures.

This study investigates how genomic inversions affect trait variation and the effectiveness of GWAS methods in detecting associations within inverted regions in Drosophila melanogaster.

This study examines how the In(2L)t inversion in Drosophila melanogaster affects environmentally sensitive behaviors, showing sex-specific and temperature-consistent impacts on activity, foraging, and startle response.

The paper analyzes population genomics of the African Fig Fly in North America, finding limited population structure but signals of recent selection, particularly in pesticide resistance and temperate adaptation.

The paper uses DEST 2.0 to analyze genetic variation in D. melanogaster across continents and time, identifying adaptation patterns and stable spatial genetic structures.

This study examines gene family evolution in Daphnia species, finding stress-related and glycoprotein gene expansions and species-specific evolutionary patterns.

This study shows that Drosophila melanogaster pigmentation adapts rapidly and deterministically to environmental gradients across multiple timescales through distinct genetic components.

This study examines shared polymorphisms in Daphnia species, finding that balancing selection and convergent evolution explain their distribution, with functional effects on behavior and fitness.

The paper develops a bioinformatics pipeline to integrate Drosophila melanogaster genomic data from diverse sources, creating a large dataset called DEST for population genetics analysis.

This study develops a computational pipeline to reconstruct genomes from ultra-low coverage data in Hybrid Swarm populations and evaluates its effectiveness for genetic association studies.

The paper updates metadata for four misidentified samples in the DrosRTEC dataset using PCA and DAPC analysis of published datasets.

The paper identifies genetic variants associated with diapause in Drosophila melanogaster, showing spatial and temporal variation in their evolutionary patterns.

The paper identifies a genetic variant that alters the stochastic expression of a transcription factor in Drosophila, affecting photoreceptor cell fate and color preference.

The paper identifies an amino acid polymorphism in the Drosophila insulin receptor that shows pleiotropic effects on life history traits and adaptive variation across geographic regions.