Integrating Multi-Omics, Artificial Intelligence, and Genome Editing to Enhance Abiotic Stress Tolerance in Crops

Abiotic stresses such as drought, salinity, and extreme temperatures are major limitations to crop productivity and global food security. Understanding and improving plant resilience to these stresses requires a comprehensive view of the complex molecular networks underlying stress responses. Advances in multi-omics approaches—including genomics, transcriptomics, proteomics, and metabolomics—are enabling the systematic identification of genes, pathways, and regulatory mechanisms involved in abiotic stress tolerance.At the same time, artificial intelligence (AI) and machine learning are accelerating the integration and interpretation of large-scale omics datasets, facilitating the discovery of high-confidence targets for crop improvement. These data-driven approaches are increasingly being coupled with genome editing technologies, particularly CRISPR-based systems, to enable precise and efficient modification of stress-related genes.This Research Topic focuses on the convergence of multi-omics, AI, and genome editing in plants, with a strong emphasis on translating computational and systems-level insights into practical genome editing strategies. We welcome contributions that explore target discovery and validation, AI-assisted prediction of gene function and editing outcomes, and the application of genome editing tools to enhance abiotic stress tolerance in crops. Studies bridging laboratory research and field performance, as well as methodological advances, are particularly encouraged.By highlighting interdisciplinary approaches, this collection aims to advance the development of climate-resilient crops through innovative genome editing solutions. Topic editors: Ritu Batra, Shailendra Sharma, KRISHAN KUMAR Source: https://www.frontiersin.org/research-topics/80219/integrating-multi-omics-artificial-intelligence-and-genome-editing-to-enhance-abiotic-stress-tolerance-in-crops