Fig. 1

The workflow employed in this study to design the SymCom. (1) The study starts with the use of 270 MAGs obtained from the microbiomes associated with V. epidendroides and B. macrantha in Campos rupestres, as detailed in Camargo et al. [47]. (2) Subsequently, genome-scale metabolic networks (GSMNs) of individual metagenome-assembled genomes were reconstructed using the M2M tool suite. To determine the target compound, which encompasses crucial compounds for their metabolism (such as amino acids, nucleotide components, cofactors, vitamins, phytohormones, organic acids, and other compounds relevant to plant interactions), as well as by incorporating GSMNs of significant crop plants, (3) we curated a minimal community (MinCom) from the original microbiome community linked to V. epidendroides and B. macrantha. From this MinCom, we identified genes associated with plant growth-promoting traits (PGPTs) (4) and employed a reverse ecology approach (5) to select species that collectively constitute our SymCom (6). The figure was designed using BioRender