Tiffany M. Lowe‐Power

This paper analyzes genomic data from Ralstonia solanacearum strains in Argentina, revealing two closely related phylotype IIA lineages and highlighting issues with current sequevar classification.

GIRAF 1.0 assesses global pest invasion risks by integrating host data, environmental suitability, trade networks, and policies, revealing high vulnerability in many countries.

This study compares T4SS diversity between phytopathogenic and environmental Ralstonia species, finding more T4SS clusters in environmental strains and identifying a specialized cluster in phytopathogens.

The paper uses genetic screens to identify fitness factors in Ralstonia pathogens during plant infection, revealing both conserved and lineage-specific adaptations.

This study identifies EPS-I as a key factor enabling Ralstonia solanacearum biofilms to exhibit viscoelastic fluid behavior, enhancing pathogen dissemination in planta.

The paper develops an interactive dashboard to visualize and analyze genetic diversity data of the Ralstonia solanacearum species complex, aiding in disease control and regulation.

The paper presents a chemical competence protocol for transforming Ralstonia solanacearum strains using calcium chloride and heat shocks, showing efficacy for four of five tested strains.

This study shows that editing the PIRE gene in tomato enhances ROS production and resistance to foliar pathogens but not soilborne pathogens.

The paper identifies two core methyl-accepting chemoreceptors in Ralstonia pathogens that bind distinct amino acid profiles, with McpA2 showing broader specificity and both contributing to virulence.

This study shows that Ralstonia pseudosolanacearum lectins and EPS I have dual roles in biofilm attachment and mechanics depending on environmental flow conditions.

The paper analyzes genotypic and phenotypic data to show that cool virulence in Ralstonia solanacearum is a quantitative trait not exclusive to R3bv2 strains.

The paper performs a meta-analysis of 100 RSSC genomes to explore evolutionary diversity, identify sub-clades, and evaluate sequevar taxonomy, providing a genome-based framework for classification and identification.