Fig. 3.

A representative integrative workflow demonstrating the use of omics datasets from plant hosts (left) and their corresponding microbiomes (right), integrating host and microbiome individual or combined omics datasets using statistical approaches or advanced bioinformatics and machine learning techniques to further elucidate the plant–microbiome interactions. These approaches can help to further increase our knowledge of plant microbiome gene functions in addition to identifying key traits and gene associations involved in plant–microbe interactions and functioning. The ultimate goals are improved plant fitness and performance, the discovery of novel molecules, an improved understanding of complex networks, and the creation of new models.