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| Main Authors: | , , , , , |
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| Format: | Artículo científico |
| Language: | en |
| Published: |
GM crops & food
2026
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| Subjects: | |
| Online Access: | https://pubmed.ncbi.nlm.nih.gov/41589633/ |
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| _version_ | 1868266095166619650 |
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| author | Raza, Ali Li, Yiran Charagh, Sidra Guo, Chunli Zhao, Mengkai Hu, Zhangli |
| author_facet | Raza, Ali Li, Yiran Charagh, Sidra Guo, Chunli Zhao, Mengkai Hu, Zhangli Raza, Ali Li, Yiran Charagh, Sidra Guo, Chunli Zhao, Mengkai Hu, Zhangli |
| collection | PubMed - marine biology |
| contents | Melatonin-enabled omics: understanding plant responses to single and combined abiotic stresses for climate-smart agriculture. Raza, Ali Li, Yiran Charagh, Sidra Guo, Chunli Zhao, Mengkai Hu, Zhangli Melatonin Stress, Physiological Multiomics Genomics Agriculture Crops, Agricultural Climate Change Proteomics Metabolomics Climate change-driven single and combined abiotic stresses pose escalating threats to sustainable, climate-smart agriculture and global food security. Melatonin (MLT, a powerful plant biostimulant) has established noteworthy potential in improving stress tolerance by regulating diverse physiological, biochemical, and molecular responses. Therefore, this review delivers a comprehensive synopsis of MLT-enabled omics responses across genomics, transcriptomics, proteomics, metabolomics, miRNAomics, epigenomics, phenomics, ionomics, and microbiomics levels that collectively regulate plant adaptation to multiple abiotic stresses. We also highlight the crosstalk between these omics layers and the power of integrated multi-omics (panomics) approaches to harness the complex regulatory networks underlying MLT-enabled stress tolerance. Lastly, we argue for translating these omics insights into actionable strategies through advanced genetic engineering and synthetic biology platforms to develop MLT-enabled, stress-smart crop plants. |
| format | Artículo científico |
| id | pubmed_41589633 |
| institution | PubMed |
| language | en |
| publishDate | 2026 |
| publisher | GM crops & food |
| record_format | pubmed |
| spellingShingle | Melatonin-enabled omics: understanding plant responses to single and combined abiotic stresses for climate-smart agriculture. Raza, Ali Li, Yiran Charagh, Sidra Guo, Chunli Zhao, Mengkai Hu, Zhangli Melatonin Stress, Physiological Multiomics Genomics Agriculture Crops, Agricultural Climate Change Proteomics Metabolomics Melatonin-enabled omics: understanding plant responses to single and combined abiotic stresses for climate-smart agriculture. Raza, Ali Li, Yiran Charagh, Sidra Guo, Chunli Zhao, Mengkai Hu, Zhangli Melatonin Stress, Physiological Multiomics Genomics Agriculture Crops, Agricultural Climate Change Proteomics Metabolomics Climate change-driven single and combined abiotic stresses pose escalating threats to sustainable, climate-smart agriculture and global food security. Melatonin (MLT, a powerful plant biostimulant) has established noteworthy potential in improving stress tolerance by regulating diverse physiological, biochemical, and molecular responses. Therefore, this review delivers a comprehensive synopsis of MLT-enabled omics responses across genomics, transcriptomics, proteomics, metabolomics, miRNAomics, epigenomics, phenomics, ionomics, and microbiomics levels that collectively regulate plant adaptation to multiple abiotic stresses. We also highlight the crosstalk between these omics layers and the power of integrated multi-omics (panomics) approaches to harness the complex regulatory networks underlying MLT-enabled stress tolerance. Lastly, we argue for translating these omics insights into actionable strategies through advanced genetic engineering and synthetic biology platforms to develop MLT-enabled, stress-smart crop plants. |
| title | Melatonin-enabled omics: understanding plant responses to single and combined abiotic stresses for climate-smart agriculture. |
| topic | Melatonin Stress, Physiological Multiomics Genomics Agriculture Crops, Agricultural Climate Change Proteomics Metabolomics |
| url | https://pubmed.ncbi.nlm.nih.gov/41589633/ |