Novel genetic tools for targeting use of PGPR to improve plant production

Overview

This research develops novel genetic markers and molecular tools to match Plant Growth-Promoting Rhizobacteria (PGPR) with specific plant cultivars, enabling precision application of beneficial soil bacteria as plant probiotics. PGPR are recognized as a cornerstone of a green revolution in agriculture, capable of enhancing crop production, quality, and tolerance to abiotic and biotic stresses. By identifying genetic markers that predict how different plant varieties respond to PGPR inoculation, this work facilitates broader and more targeted application of bacterial probiotics in sustainable agriculture, improving yield and stress resilience across crops, fruits, and vegetables.

Technical specifications

• PGPR strains under study: Two bacterial genera, Azospirillum and Rhizobium, used as plant probiotics with Vicia faba (faba bean) as the initial model crop
• OMICs-based approach: Genomic, transcriptomic, and metabolomic profiling of root and whole plant tissue samples, comparing PGPR-inoculated and non-inoculated conditions
• Marker identification focus: Genetic markers linked to molecular mechanisms governing growth promotion, as well as biotic and abiotic protective pathways
• Mechanism investigated: Chemical communication in the rhizosphere, signal molecule release, cell-to-cell signal transduction, and altered plant gene expression triggered by PGPR-secreted beneficial molecules
• Applications: Selection of crop, fruit, and vegetable cultivars that benefit from PGPR inoculation; facilitation of sustainable crop enhancement and protection

Technology readiness level

This is an early-stage research initiative focused on the discovery and validation of genetic markers. The validation procedure involves characterizing the chemical communication and signal transduction mechanisms between PGPR and plant hosts, analyzing transcriptomic changes, and identifying specific markers from OMICs datasets. Future validation will apply the identified markers to broader crop species beyond the initial V. faba model, with the goal of developing practical molecular tools for the agricultural industry. The technology is currently at the research and proof-of-concept stage, with potential for further development into commercial diagnostic or selection tools for precision agriculture.