The modern approach to the study of plant–microbe interactions involves the use of omics technologies based on advances in genomics, transcriptomics, proteomics, and metabolomics to analyse global changes in the life cycle of interacting organisms. One of the most striking examples of plant–microbe interactions is infection of plants with Agrobacterium tumefaciens, unique genetic parasites that cause hyperplasia by transferring and expressing bacterial genes in the host plant genome, such as Agrobacterium corona gall disease. A. tumefaciens infection has been extensively studied using transcriptomics approaches based on next–generation sequencing technologies (NGS,
RNA–seq), whereas the potential of proteomics and metabolomics still needs to be employed in the solution of this problem. Therefore, here we comprehensively addressed alterations in radish metabolism induced by infection with A. tumefaciens. For this, we addressed the patterns of differentially expressed proteins by a combination of non–targeted and targeted LC–MS–based
shotgun proteomics approaches. These data were complemented by a comprehensive metabolite profiling using GC–MS, UHPLC–MS and MS/MS techniques. Thus, for the first time, we performed a full–scale study of metabolic and functional changes accompanying the plant response to agrobacterial
transformation using a broad panel of complementary omics platforms.