Plant-microbe interactions underpin plant health, ecosystem functioning and agricultural sustainability, yet their complexity demands approaches that move beyond single-layer analysis. Over the past decade omics technologies-spanning genomics, transcriptomics, proteomics, metabolomics and meta-omics have revolutionized our capacity to characterize microbial communities and their functional roles. While prior reviews have largely focused on individual omics layers, this review uniquely emphasizes the integration of multi-omics datasets with systems biology, artificial intelligence and gene-editing innovations to provide a holistic framework for understanding plant-microbe dynamics. By synthesizing insights across symbiosis, pathogen interactions, signaling pathways and environmental microbiomes, we highlight how cross-disciplinary integration refines mechanistic models and accelerates translation from laboratory discovery to field-level application. In doing so, we underscore underexplored opportunities such as the role of epigenomics, spatial omics and in situ mobile sequencing, while critically addressing challenges of data integration, reproducibility and standardization. This review therefore contributes not only a synthesis of current knowledge but also a forward looking perspective that positions multi-omics integration, empowered by AI and systems biology, as a transformative paradigm for developing resilient crops, advancing sustainable agriculture and fostering environmental stewardship.
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