Background: The rhizosphere soil is the hotspot for diverse plant-microbe interactions,
which is beneficial for plant productivity. Two economically significant and
Indigenous (Malda, India) crops, Zea mays, and Brassica nigra, were analyzed in this
study using 16SrRNA metagenomic sequencing to explore the structure and function
of rhizomicrobiome with advantageous interaction with the plants. Methods:
Rhizosphere soils were collected, analyzed for soil physicochemical properties, and
subjected to DNA extraction, PCR amplification, followed by sequencing using
Illumina MiSeq. The metagenomic sequences were demultiplexed for quality control,
chimera removal, OTU abundance in QIIME2, and taxonomic assignment using
Kraken2/Bracken against Silva/Greengenes/NCBI/KEGG databases. Results:
Proteobacteria and Planctomycetes were the two most abundant phyla, Adurb.Bin063-
1 sp. predominated Zea mays and Brassica nigra. Alpha and beta diversity differed
insignificantly between Zea mays and Brassica nigra. The two rhizomicrobiomes
showed a significant positive correlation at the genus level. Ellin6067 sp.,
Nitrosomonas sp., MND1 sp., oc32 sp., and mle1-7 sp. from the Nitrosomonadaceae
predominated the rhizomicrobiomes. Enrichment of nitrogen-fixation, nitritereduction,
and ammonia-oxidation occurred in Zea mays and Brassica nigra.
Expression of pEA3 plasmid was detected in Zea mays with reports of putative
nitrogen fixation properties. Antimicrobial resistance gene analysis revealed
aminocoumarin resistance in Zea mays. Abundances of mobile genetic element vs
bacterial genera, and functional characteristics describing Zea mays vs Brassica nigra
were insignificantly associated. Conclusion: Rhizomicrobiomes of Zea mays and
Brassica nigra revealed shared taxonomic and metabolic profiles related to the
nitrogen cycle. Deciphering the structural and functional diversity of
rhizomicrobiomes are essential for understanding advantageous plant-microbe
interactions.
Keywords: Bacteria, rhizomicrobiome, metagenomics, taxa, function, diversity,
mobile genetic elements
