title: Quantitative Methods to Assess Differential Susceptibility ofArabidopsis thalianaNatural Accessions toDickeya dadantii.
abstract: Among the most devastating bacterial diseases of plants,soft rotprovoked byDickeyaspp. cause crop yield losses on a large range of species with potato being the most economically important. The use of antibiotics being prohibited in most countries in the field, identifying tolerance genes is expected to be one of the most effective alternate disease control approaches. A prerequisite for the identification of tolerance genes is to develop robust disease quantification methods and to identify tolerant plant genotypes. In this work, we investigate the feasibility of the exploitation ofArabidopsis thaliananatural variation to find tolerant genotypes and to develop robust quantification methods. We compared different quantification methods that score either symptom development or bacterial populationsin planta. An easy to set up and reliable bacterial quantification method based on qPCR amplification of bacterial DNA was validated. This study demonstrates that it is possible to conduct a robust phenotyping of soft rot disease, and that Arabidopsis natural accessions are a relevant source of tolerance genes.
authors.affiliation: Institut Jean-Pierre Bourgin, UMR INRA- AgroParisTech 1318, ERL CNRS 3559, Saclay Plant Sciences Versailles, France.
authors.forename: Martine
authors.initials: M
authors.lastname: Rigault
authors.affiliation: Institut Jean-Pierre Bourgin, UMR INRA- AgroParisTech 1318, ERL CNRS 3559, Saclay Plant Sciences Versailles, France.
authors.forename: Amélie
authors.initials: A
authors.lastname: Buellet
authors.affiliation: Institut Jean-Pierre Bourgin, UMR INRA- AgroParisTech 1318, ERL CNRS 3559, Saclay Plant Sciences Versailles, France.
authors.forename: Céline
authors.initials: C
authors.lastname: Masclaux-Daubresse
authors.affiliation: Institut Jean-Pierre Bourgin, UMR INRA- AgroParisTech 1318, ERL CNRS 3559, Saclay Plant Sciences Versailles, France.
authors.forename: Mathilde
authors.initials: M
authors.lastname: Fagard
authors.affiliation: Institut Jean-Pierre Bourgin, UMR INRA- AgroParisTech 1318, ERL CNRS 3559, Saclay Plant Sciences Versailles, France.
authors.forename: Fabien
authors.initials: F
authors.lastname: Chardon
authors.affiliation: Institut Jean-Pierre Bourgin, UMR INRA- AgroParisTech 1318, ERL CNRS 3559, Saclay Plant Sciences Versailles, France.
authors.forename: Alia
authors.initials: A
authors.lastname: Dellagi
keywords: Arabidopsis thaliana; Dickeya dadantii; natural variation; qPCR; quantification