Margaret H. Frank

This study tracks Serratia ureilytica in cucurbit plants, showing its localization in phloem-associated cells and systemic movement.

This study uses topological data analysis and deep learning to show that grapevine leaf blade and vasculature shapes are predictively linked, suggesting a one-to-one relationship between the two tissues.

This study modifies soybean floral traits using CRISPR to enhance pollinator attraction, revealing unexpected gene regulatory mechanisms and providing tools for hybrid seed production.

This study develops a poroelastic framework to model hydromechanical signaling in plants, showing pressure changes and mass flow can transmit signals locally and systemically.

This study re-analyzes mobile mRNA datasets and finds that many annotated mobile transcripts lack support from RNA-Seq data due to technical and biological factors.

The paper identifies genetic incompatibility between tomato and pepper as the cause of graft rejection, characterized by hyperimmune responses and prolonged cell death.

This paper uses transcriptomics to analyze the reproductive structures of Euphorbia peplus, finding distinct gene expression patterns and alternative pathways in floral development.

Stand-alone, point-and-click Java toolkit bundling over 100 sequence, BLAST, GO/KEGG enrichment and interactive plotting functions, so wet-lab biologists can analyse sequencing-scale data without the command line.

This paper uses persistent homology to analyze plant morphology across different organs and scales, finding that genetic factors affect both shoot and root structures in tomato plants.