J. Lasky

Predicting gene expression responses to environment in Arabidopsis thaliana using natural variation in DNA sequence

This study uses machine learning to predict gene expression responses to cold stress in Arabidopsis thaliana based on DNA sequence variation, finding moderate accuracy but highlighting challenges from regulatory complexity.

Evidence that variation in root anatomy contributes to local adaptation in Mexican native maize

The paper uses machine learning to link root anatomical traits with environmental variation in Mexican maize, finding trait combinations that favor reduced axial conductance in cooler, drier highland areas.

The genomics and physiology of abiotic stressors associated with global elevation gradients in Arabidopsis thaliana

This study investigates elevational adaptation in Arabidopsis thaliana by analyzing genetic and physiological responses to abiotic stressors across different regions.

Vegetative Phase Change Causes Age-Dependent Changes in Phenotypic Plasticity

This study shows that vegetative phase change (VPC) in Arabidopsis thaliana increases adult phenotypic plasticity in leaf morphology compared to the juvenile phase, with VPC timing varying across genotypes and environments.

Host genomic influence on bacterial composition in the switchgrass rhizosphere

This study investigates how switchgrass genotypes influence rhizosphere bacterial composition and diversity, finding genetic associations and heritability in bacterial communities.

Diversity reduces extinction risk at global scales

The paper shows that more diverse bird assemblages have lower extinction risk despite containing species with extinction-prone traits.

Genomics of sorghum local adaptation to a parasitic plant

This study identifies genetic variants in sorghum associated with resistance to the parasitic weed Striga hermonthica, revealing balancing selection and tradeoffs in resistance mechanisms.