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Schurdi-Levraud, V.

Publications and source records attributed to Schurdi-Levraud, V..

2 recordsLinked to original sources

Transposable element-derived siRNAs control viral disease in Arabidopsis

Crop diseases caused by viruses can result in significant economic losses. However, the mechanisms that lead to disease are not well understood. Meanwhile, metagenomic surveys have revealed that most plants in nature are tolerant to viruses, thus maintain their fitness despite of recurrent infection. Using plants that transition from a diseased state to a tolerant state during virus infection, we demonstrate that tolerance depends on the virus-induced production of 21-nucleotide small interfering RNAs (siRNAs) from transposable elements (TEs). These findings indicate that siRNAs derived from TE sequences play a pivotal role in mitigating the detrimental effects of viral infection on plant health.

plant biology↗

Metabolic profile discriminates and predicts Arabidopsis susceptibility to virus under field conditions

As obligatory parasites, plant viruses alter host cellular metabolism. There is a lack of information on the variability of virus-induced metabolic responses among genetically diverse plants in a natural context with daily changing conditions. To decipher the metabolic landscape of plant-virus interactions in a natural setting, one hundred and thirty-two and twenty-six accessions of Arabidopsis thaliana were inoculated with Turnip mosaic virus (TuMV), in two field experiments over 2 years. The accessions were phenotyped for viral accumulation, above-ground biomass, targeted and untargeted metabolic profiles. The accessions revealed quantitative response to the virus, from susceptibility to resistance. Susceptible accessions accumulate primary and secondary metabolites upon infection, at the cost of hindered growth. Orthogonal Partial Least Squares-Discriminant Analysis (OPLS-DA) revealed that the primary metabolites sucrose, glucose and glutamate discriminate susceptible and resistant accessions. Twenty-one metabolic signatures were found to significantly accumulate in resistant accessions whereas they maintained their growth at the same level as mock-inoculated plants without biomass penalty. Metabolic content was demonstrated to discriminate and to be highly predictive of the susceptibility of inoculated Arabidopsis. The PLS coefficient estimated in the training data set reveals, after cross-validation, a correlation of 0.61 between predicted and true viral accumulation. This study is the first to describe the metabolic landscape of plant-virus interactions in a natural setting and its predictive link to susceptibility. It reveals that, in this undomesticated species and in ecologically realistic conditions, growth and resistance are in a permanent conversation and provides new insights on plant-virus interactions.

plant biology↗