Integrating Drought Stress Signaling and Smart Breeding for Climate-Resilient Crops: Regulatory Mechanisms and Genetic Strategies

生物 特质 耐旱性 生物技术 农业 分子育种 干旱胁迫 生产力 抗旱性 渗入 选择(遗传算法) 转基因作物 作物 粮食安全 适应性 适应(眼睛) 气候变化 抗性(生态学) 农业生产力 作物生产力 非生物胁迫 物候学 标记辅助选择 植物育种 遗传适应性 生态学 系统生物学 基因组学 重编程 计算生物学 农业生物技术 战斗或逃跑反应
作者
Mingyu Wang,Yuwei Zhao,Yaqian Huang,Jun Liu
出处
期刊:Plants [Multidisciplinary Digital Publishing Institute]
卷期号:14 (24): 3714-3714 被引量:6
标识
DOI:10.3390/plants14243714
摘要

The escalating frequency and severity of drought events pose significant threats to agricultural productivity and food security. Drought stress not only restricts crop growth and yields but also destabilizes agricultural ecosystems. Over evolutionary timescales, plants have developed intricate adaptive strategies, encompassing drought escape (accelerated phenology), avoidance (water-conserving morphology) and tolerance (cellular protection), which involve complex biological mechanisms spanning molecular signaling, metabolic reprogramming and organ morphological remodeling. To mitigate drought risks, breeding drought-tolerant and water-efficient crops is imperative. Currently, drought resistance breeding is undergoing a paradigm shift, transitioning from traditional phenotypic selection toward genomics-assisted selection, molecular design and artificial intelligence (AI)-driven predictive modeling. This review provides a comprehensive analysis of drought stress response mechanisms in crops, integrating three key dimensions: physiological/biochemical adaptations, hormonal signaling networks and morphological/structural modifications. Furthermore, it critically evaluates recent advances in genetic improvement approaches for drought resistance, such as marker-assisted selection, transgenic technology and gene editing. It also explores the integration of multi-omics data and AI to enhance precision molecular breeding and overcome the inherent trade-off between drought resistance and yield potential. By synthesizing advancements in molecular breeding and smart agriculture, this work provides a roadmap for developing climate-resilient crops optimized through synergistic trait engineering and intelligent environmental sensing.
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