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Review Paper | Open Access

Engineering drought resilience in plants: integrating multi-omics, machine learning, and single-cell technologies for future food security

Muhammad Umair Hassana, Waqas Mushtaqb, Xinfeng Jiangc, Abdul Rehmand, Inzamam Ul Haqe, Shifaa O. Alshammarif, Tahani A.Y. Asserig, Qitao Sua( ), Lixian Wangc( )
Key Laboratory of Jiangxi Province for Biological Invasion and Biosecurity, School of Life Sciences, Jinggangshan University, Ji'an, Jiangxi 343009, China
Key Laboratory of Crop Physiology, Ecology, and Genetic Breeding, Ministry of Education/College of Agronomy, Jiangxi Agricultural University, Nanchang, Jiangxi 330045, China
Cash Crops Research Institute of Jiangxi Province, Jiangxi Provincial Key Laboratory of Plantation and High Valued Utilization of Specialty Fruit Tree and Tea, Nanchang, Jiangxi 330006, China
State Key Laboratory of Efficient Utilization of Arid and Semi-Arid Arable Land in China, Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, China
College of Soil Water Conservation Science and Engineering, Northwest A & F University, Yangling, Shanxi 712100, China
Department of Biology, College of Science, University of Hafr Al Batin, Hafr Al Batin 31991, Saudi Arabia
Department of Biology, College of Science, King Khalid University, Abha 61413, Saudi Arabia
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Abstract

Global crop productivity is increasingly threatened by climate change, with drought stress (DS) a severe and escalating challenge to food security. Therefore, developing resilient crops is crucial for sustainable agriculture. Recent research has transitioned from examining general responses, such as hormonal imbalances, photosynthetic inhibition, and oxidative damage, to elucidating the intricate adaptive mechanisms, including signal transduction pathways and stress-responsive gene networks. Advances in omics technologies have significantly enhanced our understanding of plant responses to DS. Techniques such as genomics, transcriptomics, proteomics, and metabolomics have facilitated the dissection of drought-responsive genes, metabolic pathways, and regulatory networks, thereby contributing to the development of drought-resilient crops. This review synthesizes recent advancements in omics to provide a comprehensive analysis of the DS tolerance mechanisms in plants. It also explores the emerging potential of single-cell omics and artificial intelligence in deciphering the complex plant responses to DS. Finally, it evaluates the challenges associated with omics and outlines strategies to translate omics insights into the development of drought-resilient crops, ultimately enhancing crop productivity and food security.

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Horticultural Plant Journal
Pages 2211-2237

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Cite this article:
Hassan MU, Mushtaq W, Jiang X, et al. Engineering drought resilience in plants: integrating multi-omics, machine learning, and single-cell technologies for future food security. Horticultural Plant Journal, 2026, 12(10): 2211-2237. https://doi.org/10.1016/j.hpj.2026.03.014

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Received: 17 December 2025
Accepted: 12 March 2026
Published: 03 July 2026
© 2026 Chinese Society for Horticultural Science (CSHS) and Institute of Vegetables and Flowers (IVF), Chinese Academy of Agricultural Sciences (CAAS).

This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).