Integrative biology in plant stress

Our research interest relies on the integration of separate biological information (ecophysiology, variations, gene expression, metagenomics, phenology, analytical…) by means of bioinformatic approaches to relate genes, microbiota, phenotypes and stress responses. We envisage the use machine learning, data mining and systems biology to infer the co-adaptation of crops (such as citrus, olive or even tomato) as well as their microbioma to the climate change and other abiotic stresses. This also includes the study of photosynthetic model organisms such as microalgae.