Abstract
In an era marked by rapidly shifting climatic patterns, agriculture faces unprecedented challenges. The sustainability of crop yields and global food security hinge on our ability to bolster plant resilience against abiotic stresses. Fortunately, the rapid advancements in omics technologies, encompassing genomics, transcriptomics, proteomics, metabolomics, ionomics, miRNAomics, and phenomics, have revolutionized our understanding of plant responses to challenging environmental conditions. These cutting-edge tools not only unravel the complexities of plant stress responses but also shed light on the intricate mechanisms underlying calcium signaling pathways. This review delves into the myriad ways omics approaches have illuminated abiotic stress tolerance mechanisms, paving the way for sustainable crop improvement. We explore the sophisticated molecular, physiological, and biochemical adaptations that plants employ to navigate stress, with a spotlight on the recent breakthroughs enabled by omics. Moreover, the integration of multi-omics data offers a holistic perspective, which is vital for crafting precision breeding techniques and developing stress-tolerant crops. Through case studies, we highlight real-world applications where omics-driven discoveries have been transformative for farmers and the broader agriculture sector. As we stand at the nexus of climate challenges and technological innovation, omics technologies emerge as potent tools to ensure a resilient agricultural future.
| Original language | English |
|---|---|
| Pages (from-to) | 4165-4187 |
| Number of pages | 23 |
| Journal | Journal of Plant Growth Regulation |
| Volume | 44 |
| Issue number | 7 |
| DOIs | |
| State | Published - Jul 2025 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 2 Zero Hunger
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SDG 8 Decent Work and Economic Growth
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SDG 12 Responsible Consumption and Production
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SDG 13 Climate Action
Keywords
- Abiotic stress
- Climate change
- Crop improvement
- Genomics-assisted breeding
- Metabolite profiling
- Multi-omics integration
- Omics technologies
- Plant resilience
- Precision breeding
- Sustainable agriculture
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