Rhizosphere is a dynamic and complex environment shaped by intricate interactions between plants and a diverse microbial community. The rhizosphere microbiome is crucial for plant growth, nutrition, and health in agro-ecosystems. Recent advancements in metagenomics, especially through shotgun sequencing, offer unprecedented opportunities to unravel the complexities of rhizosphere microbial dynamics. Sequence and function-based metagenomic approaches enhance our understanding of plant-microbe relationships and serve as transformative tools for sustainable agriculture. They offer insights into precision microbiome engineering and ecosystem management by capturing the genomic landscape of microbial communities, revealing their taxonomic composition and functional potential. The integration of computational tools and machine learning approaches provides a powerful analytical framework to interpret vast and intricate metagenomic datasets. This paper comprehensively explores the rhizosphere using cutting-edge shotgun sequencing techniques to capture a holistic view of microbial communities in this crucial zone. Additionally, it delves into the emerging domain of virus-rhizosphere interactions, elucidating the impact of viral dynamics on rhizosphere microbial composition. To date, significant achievements in rhizosphere biology through metagenomics include detailed characterizations of microbial diversity, functional profiling of microbial communities, and identification of key microbial players in plant health and nutrient cycling. These advances underscore the critical role of metagenomics in advancing our understanding of rhizosphere biology and its applications in sustainable agriculture. The novel application of these advanced metagenomic techniques presents both opportunities and challenges, offering deeper insights into the rhizosphere while highlighting the need for improved data integration and interpretation methods.
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