Jeff Dangl

TL;DR: A citational network analysis of papers that mention Arabidopsis thaliana in the title, abstract or keywords is presented, to touch on some of the important discoveries in plant biology that have been made in this powerful model system, and highlight how these discoveries have then had an impact in crop species.

TL;DR: The plan envisions that the project will facilitate the development of a computational model of a virtual plant that will allow predictive queries about basic mechanisms underlying plant growth and development.

TL;DR: ProDeGe is presented, the first computational protocol for fully automated decontamination of draft genomes, which classifies sequences into two classes—clean and contaminant—using a combination of homology and feature-based methodologies.

TL;DR: Current key questions in this research field include: microbes and plants meet, how is disease remains an important component of modern specificity determined, how do new specificities evolve, agriculture, as many pathogens are evolutionarily spe-and how is genetic diversity organized and maintained to overcome preformed defense barriers.

TL;DR: This chapter considers the relationships between Arabidopsis and its pathogens; that is, microorganisms causing overt symptoms of disease, and their diversity is well illustrated by the fungi and bacteria capable of parasitic growth onArabidopsis.