Abstract
The application of beneficial microorganisms with biostimulant, biofertilizer, and/or biopesticide properties represents an alternative to the use of chemicals in agriculture. Nevertheless, bioproducts' selection and application efficacy under field condition need to be improved. A deeper understanding of the bioinoculant strains at genomic and phenomic level, would advance selection process and field application. The objective of this manuscript was to develop a combined genomic-phenomic approach for the characterization of bioproducts, and to demonstrate its application with a real use-case scenario. At the genomic level, the presence of several functional genes supporting plant nutrition (e.g., nitrate conversion into ammonia, phosphorous solubilization, siderophore production), improving plant growth (e.g., plant hormones) or promoting plant health through antagonism to plant pathogens, pointed to the multifunctionality of the strain. The phenomic analysis showed various carbon, nitrogen, phosphate, and sulfur utilization patterns, and confirmed the expression of the associated metabolic pathways. Our analysis approach encompasses as many aspects of the genome and phenome as possible for understanding the complexities of a microorganism, enabling the generation of greater value compared to the individual technologies. The proposed approach unlocks data-driven decision making in bioproduct optimisation, as such should be routinely included in screening programs.