A. M. O'Brien

The paper introduces an automated high-throughput system for plant imaging and phenotyping, demonstrating its ability to analyze large-scale plant-microbe interactions across diverse nutrient environments.

The paper investigates how abiotic stress gradients affect mutualistic adaptation between teosinte and its rhizosphere biota, finding stronger local adaptation in colder sites but greater average benefits from less stressful biota.

This study shows that rhizosphere biota alter trait expression and covariance in teosinte, influencing local adaptation and responses to environmental changes.

This study examines how plant genotype, microbial communities, and environmental factors interact to influence duckweed growth and microbial performance in aquatic environments.

The paper proposes the CoCoA hypothesis, predicting adaptation and co-adaptation in species interactions along environmental gradients based on interaction conditionality.