Taylor AuBuchon‐Elder

This study identifies convergent genomic and gene-level constraints in grasses adapting to extreme environments using phylogenomic data and large language models.

The paper identifies a conserved cis-regulatory code across 589 grass species and finds that motif conservation declines rapidly but remains significant over evolutionary time, with adaptive changes linked to ecological transitions.

This study investigates the origins and adaptive consequences of polyploidy in the prairie grass Andropogon gerardi, finding that whole genome duplication is common and provides fitness advantages in xeric climates.

reelGene evaluates gene models using machine learning and evolutionary data, finding 28% of maize gene models are incorrectly annotated or nonfunctional.

The paper examines nitrogen dynamics in Andropogoneae grasses, finding annual species conserve nitrogen while perennials vary in their impact on nitrification and nitrate loss.

The paper examines genome evolution in maize and related grasses, revealing variable outcomes of polyploidy across species.

The paper benchmarks deep learning models on genomic data across 18 grass species, finding they generalize across species but not across alleles within species.