Fig. S1. Principal coordinate analyses (PCoA) plot showing differences in taxonomic structure of microbial communities between the rhizosphere and bulk metagenomes.
Fig. S2. Principal coordinate analyses (PCoA) plot showing differences in microbial functions between the rhizosphere and bulk soils metagenomes.
Fig. S3. Venn diagrams showing the number of KEGG Orthologues (KOs) shared between rhizosphere and bulk soil metagenomes before (a) and after (b) statistical differentiation of significant functions of rhizosphere and bulk soil samples using the STAMP package.
Table S1. Sequence counts of the rhizosphere and bulk soil metagenomes. The total number of sequences before and after quality filtering, and coverage data of contigs ≥500 bp.
Table S2. Relative frequencies of open-reading frame (ORF) hit counts for microorganisms (phylum level) in each metagenome.
Table S3. Operational taxonomic units showing microbial taxa which were significantly overrepresented in rhizosphere and bulk soil metagenomes, based on protein-coding ORF data using the STAMP package.
Table S4. Genes overrepresented in either, the rhizosphere or bulk soil metagenomes, based on ORF data analysis using the STAMP package.
Table S5. Overrepresented genes of the rhizosphere and bulk soil metagenomes, identified using STAMP analysis of ORF hit counts, linked to their associated microbial taxa.
Table S6. Statistical information of the CONCOCT genome bins as revelled by CheckM analysis.
Table S7. Statistical information of the Anvio’s refined genome bins as revelled by CheckM analysis.
Table S8. Functional potential of the Bradyrhizobium genome based on RAST and KAAS annotations.
Table S9. Functional potential of the Geodermatophilus genome based on RAST and KAAS annotations.
Table S10. Functional potential of the Kribbela genome based on RAST and KAAS annotations.
Table S11. Functional potential of the Sphaerobacter genome based on RAST and KAAS annotations.