Sophia F. Buysse

This study examines how two Arabidopsis thaliana populations from different climates respond to heat and drought, finding conserved plasticity in drought response despite population-specific strategies.

The paper investigates the roles of genetic drift and selection in the loss of short stamens in Arabidopsis thaliana along an elevational gradient and identifies different genetic loci associated with this trait variation.

The paper uses Arabidopsis gene expression data to train machine learning models for predicting tissue identity in other flowering plants, finding that gene expression signatures are more predictive than marker genes.