Investigating Plant Defense Metabolomics Mechanisms Based on Artificial Intelligence
Subject Areas : Stress
Mozhgan Zangeneh
1
,
Mohamadreza Salehi Salmi
2
1 - Department of Horticultural Science, Faculty of Agriculture, Agricultural Sciences and Natural Resource University of Khuzestan, Iran
2 -
Keywords: Crop resilience, Data analysis, Stress, Sustainable agriculture, Multi-omics,
Abstract :
Artificial intelligence (AI)-assisted metabolomics has emerged as a transformative approach in plant defense research, offering unprecedented insights into the complex metabolic responses of plants to biotic and abiotic stresses. This review explores the current trends and future directions of AI-driven metabolomics techniques, highlighting their role in deciphering intricate metabolic networks, identifying stress-responsive biomarkers, and uncovering hidden patterns in large-scale omics datasets. Traditional metabolomics approaches often face challenges in data integration, interpretation, and scalability, but AI, particularly machine learning (ML) and deep learning (DL) algorithms, has revolutionized the field by enabling rapid and accurate analysis of high-dimensional data. AI-assisted techniques facilitate the discovery of key metabolites involved in plant defense mechanisms, enhance the prediction of stress tolerance, and contribute to the development of stress-resistant crop varieties. Furthermore, the integration of multi-omics data, including genomics, transcriptomics, and proteomics, with metabolomics through AI-driven platforms provides a holistic understanding of plant stress responses. Despite these advancements, challenges such as data standardization, model interpretability, and computational resource requirements remain. This review also discusses the potential of AI-assisted metabolomics in optimizing agricultural practices, improving crop resilience, and ensuring sustainable food production in the face of climate change. By addressing current limitations and exploring emerging technologies, this field holds immense promise for advancing plant science and addressing global food security challenges.
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