Metabolomics Unveils Plant-Microbe Interactions: Advancing Agricultural Sustainability

EasyChair Preprint 13950

Abstract

Plant-microbe interactions are pivotal in ecosystem dynamics and agricultural productivity. Metabolomics has emerged as a crucial tool for understanding the complex chemical exchanges that govern these interactions, offering a comprehensive view of metabolic processes. This review explores a range of metabolomics techniques used in studying plant-microbe interactions, including mass spectrometry, nuclear magnetic resonance spectroscopy, and imaging methods. We also discuss the use of advanced bioinformatics tools, databases, and the growing role of artificial intelligence and machine learning in metabolomics data analysis. Integrating metabolomics with other omics disciplines, such as transcriptomics, proteomics, and metagenomics, provides a holistic understanding of the molecular mechanisms underlying these interactions. Furthermore, we highlight the complementary nature of fluxomics in revealing the dynamic aspects of metabolic networks. Despite challenges in data analysis and interpretation, metabolomics has significantly enhanced our understanding of the diverse roles of metabolites in shaping plant-microbe interactions. As metabolomics continues to evolve and integrate with other omics approaches, we anticipate groundbreaking discoveries that will revolutionize sustainable agriculture and biotechnology.

Keyphrases: Bioinformatics, Metabolomics, mass spectrometry, plant-microbe interactions, sustainable agriculture

@booklet{EasyChair:13950,
  author    = {Katie Fan},
  title     = {Metabolomics Unveils Plant-Microbe Interactions: Advancing Agricultural Sustainability},
  howpublished = {EasyChair Preprint 13950},
  year      = {EasyChair, 2024}}