Root-associated microbial communities play a pivotal role in enhancing soybean productivity, particularly under adverse climatic conditions. These microbes are integral to a range of critical processes, including nutrient acquisition, disease suppression, phytohormone synthesis, and conferring tolerance to biotic and abiotic stresses. Advances in omics technologies have unveiled the profound significance of unculturable rhizomicrobial niches, reshaping our perception of their contributions to modern soybean production. Techniques such as metagenomics, transcriptomics, proteomics, and metabolomics have emerged as transformative tools, enabling the exploration of previously uncharted microbial ecosystems. A comprehensive understanding of rhizomicrobial communities and their intricate interactions with soybean plants holds the potential to revolutionize sustainable agricultural practices for soybean cultivation. This chapter delves into the cutting-edge applications of multi-omics methodologies, offering a comprehensive perspective on how these tools can unlock the latent potential of rhizomicrobial communities to sustain and enhance soybean productivity amidst evolving environmental challenges.

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Omics-Based Exploration of Potential Soil Microorganisms for Sustaining the Productivity of Soybean: Prospects and Challenges

  • Vindhya Bundela,
  • Prem Ranjan,
  • Neha Saini,
  • Aketi Ramesh,
  • Komal Pandey,
  • Paramita Das,
  • Geetanjali Jakhar,
  • Subhasis Das,
  • Mahaveer P. Sharma

摘要

Root-associated microbial communities play a pivotal role in enhancing soybean productivity, particularly under adverse climatic conditions. These microbes are integral to a range of critical processes, including nutrient acquisition, disease suppression, phytohormone synthesis, and conferring tolerance to biotic and abiotic stresses. Advances in omics technologies have unveiled the profound significance of unculturable rhizomicrobial niches, reshaping our perception of their contributions to modern soybean production. Techniques such as metagenomics, transcriptomics, proteomics, and metabolomics have emerged as transformative tools, enabling the exploration of previously uncharted microbial ecosystems. A comprehensive understanding of rhizomicrobial communities and their intricate interactions with soybean plants holds the potential to revolutionize sustainable agricultural practices for soybean cultivation. This chapter delves into the cutting-edge applications of multi-omics methodologies, offering a comprehensive perspective on how these tools can unlock the latent potential of rhizomicrobial communities to sustain and enhance soybean productivity amidst evolving environmental challenges.