Plant pathogenic microorganisms cause substantial yield losses in several economically important crops, resulting in economic and social adversity. The spread of such plant pathogens and the emergence of new diseases is facilitated by human practices such as monoculture farming and global trade. Therefore, the early detection and identification of pathogens is of utmost importance to reduce the associated agricultural losses. In this review, techniques that are currently available to detect plant pathogens are discussed, including culture-based, PCR-based, sequencing-based, and immunology-based techniques. Their working principles are explained, followed by an overview of the main advantages and disadvantages, and examples of their use in plant pathogen detection. In addition to the more conventional and commonly used techniques, we also point to some recent evolutions in the field of plant pathogen detection. The potential use of point-of-care devices, including biosensors, have gained in popularity. These devices can provide fast analysis, are easy to use, and most importantly can be used for on-site diagnosis, allowing the farmers to take rapid disease management decisions.

The rhizosphere is a complex ecosystem consisting of microbes in the interface between growth medium and plant roots, which affects plant productivity and health. This is one of the few studies analysing bacterial communities present in the rhizosphere of hydroponically grown plants. Tomato grown under hydroponic conditions is prone to hairy root disease (HRD) that is caused by rhizogenic Agrobacterium biovar 1 strains. In this study, using high-throughput amplicon sequencing of partial ribosomal RNA (rRNA) genes, we aimed to characterize bacterial communities in rockwool samples obtained from healthy or HRD-infested tomato during an entire growing season. Alpha diversity of rockwool increased in direct relation with time and samples obtained from healthy greenhouses presented a significantly lower alpha diversity than those from HRD-infested greenhouses. Beta diversity showed that bacterial community composition changed throughout the growing season. Amplicon Sequence Variants (ASVs) identified as rhizogenic Agrobacterium bv. 1 were more prevalent in HRD-infected greenhouses. Conversely, ASVs identified as Paenibacillus, previously identified as biocontrol organisms of rhizogenic agrobacteria, were more prevalent in healthy greenhouses. Altogether, our study greatly contributes to the knowledge of bacterial communities in rockwool hydroponics.