Abstract

The plant rhizosphere is one of the most complex, yet functionally active and critical ecosystems on Earth. This area, in close proximity to roots, hosts intricate molecular dialogues between plants and their associated microbial communities that regulate plant nutrition, immunity, and stress resilience. Due to the high level of structural and functional complexity, conventional analytical methods are inadequate to decipher the multilayered nature of such interactions, necessitating the adoption of integrated multi-omics strategies. The convergence of genomics, transcriptomics, proteomics, metabolomics, metagenomics, metaproteomics, and metatranscriptomics and its revolutionising impact on our system-level mechanistic understanding of plant-microbiome relationships in the context of sustainable agriculture have been discussed. Multi-omics investigations have elucidated how plants orchestrate rhizosphere microbiome recruitment through root exudate chemistry, how beneficial microbial consortia enhance nutrient bioavailability and disease suppression, and how plant-microbiome interactions confer resilience to abiotic stresses, including drought, salinity, and heavy metal toxicity. Although the area has witnessed many advancements, it still faces significant challenges, including methodological heterogeneity, computational complexity in data integration, limited cross-study reproducibility, and a critical gap between omics-derived predictions and functional validation. Emerging technologies such as single-cell sequencing, long-read sequencing platforms, spatially resolved multi-omics, and machine learning-driven data integration offer transformative potential to overcome such barriers. It is hoped that translational, problem-driven multi-omics research could bridge findings from molecular-level studies with field-validated agronomic outcomes to accelerate the rational design of microbiome-based crop improvement strategies, ultimately contributing to productive, resilient, and environmentally sustainable agricultural systems.

Key words: Multi-omics, plant-microbiome interactions, rhizosphere, systems biology, bioinformatics, sustainable agriculture