The soil is a reservoir of microorganisms, which play key roles in ecosystems and can improve plant growth and health. Moreover, plants exert selective forces on the soil microbial communities through root exudation, which provides organic carbon that can be used for microbial growth. However, the root exudate also contains signaling molecules that drive the root-microbe interaction. We know that the composition of root exudates varies with the environmental conditions, the plant developmental stage, plant species and cultivars, and as a result so does the plant microbiome. However, the molecular mechanisms involved in the microbiome selection by the plant are still poorly understood.
The aim of my research is to better understand how plants can select a beneficial microbiome under abiotic/biotic stress and find new lever to improve plant stress tolerance by identifying candidate genes, metabolites and microorganisms.
To do so, I am using and developing new data analysis and computational tools in order to analyse and integrate phenotypic and omics data, such as genomics, transcriptomics, metabolomics and metagenomics.
I am involved in the following courses:
I am coordinating the Master course Tools in molecular data analysis
Students interested in plant-microbe interactions, omics data analysis and integration are welcome to contact me.