Maria Magallanes‐Lundback

This paper constructs and analyzes the first pangenomes for blueberry and cranberry, revealing high genetic diversity and identifying genes associated with disease resistance and fruit quality.

This study evaluates prediction models for tocochromanol content in maize grain using genomic and transcriptomic data, finding that incorporating biological knowledge improves predictive ability.

The paper combines GWAS and TWAS to identify 13 candidate causal genes for tocochromanol levels in maize grain, including five previously unassociated genes.

The paper identifies eleven biosynthetic genes explaining most of the natural variation in carotenoid levels in maize grain through QTL analysis and expression correlation.