解码受控环境下植物对钾和养分胁迫的代谢组学反应。

IF 3.6 2区 生物学 Q1 PLANT SCIENCES
Md Mazadul Islam, Li Li, Jing He, Afroz Naznin, Samsul Huda, Talaat Ahemd, David Tissue, Zhong-Hua Chen
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引用次数: 0

摘要

钾(K)是一种必需的常量营养素,影响着植物的许多生理、生化和代谢功能。在集约化农业受控环境下的保护种植系统(PCS)中,优化钾素管理对于在逆境生长条件下实现可持续生产力和抗灾能力至关重要。了解植物对这些条件的反应需要先进的分析方法,代谢组学正在成为一个关键工具,尽管仍然缺乏以pcs为中心的代谢组学研究。本文综述了植物对钾作为营养物质的代谢组学反应的最新知识,强调了代谢组学在揭示与钾吸收、运输和利用相关的复杂生化途径中的核心作用。我们研究了对钾缺乏的基本代谢改变,包括葡萄糖代谢、抗氧化剂合成、渗透物积累和激素调节的改变。本文还探讨了钾与其他营养物质,特别是氮、磷和必需微量元素之间的关系,以及它们对植物代谢网络的影响。此外,我们还讨论了前沿的组学集成、精确施肥、实时传感器技术和机器学习应用,这些技术共同有望改变PCS中的钾肥管理。未来的发展方向突出了钾高效品种的进步,在育种中整合代谢组学生物标志物,克服数据解释、可扩展性和代谢组学分析和表型技术的高成本方面的挑战。总的来说,这些见解为改善作物健康、产量和养分利用效率提供了一个框架,以实现更可持续的保护作物未来。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Decoding Plant Metabolomic Response to Potassium and Nutrient Stresses in Controlled Environments.

Potassium (K) is an essential macronutrient, affecting numerous physiological, biochemical, and metabolic functions in plants. In protected cropping systems (PCS), which are controlled environments for intensive agriculture, optimizing K management is essential for attaining sustainable productivity and resilience under stressful growth conditions. Understanding plant responses to these conditions requires advanced analytical approaches, and metabolomics is emerging as a key tool, though there is still a lack of PCS-focused metabolomic studies. This review synthesizes the recent knowledge on plant metabolomic responses to K as a nutrient, emphasizing the central role of metabolomics in uncovering intricate biochemical pathways associated with K uptake, transport, and utilization. We investigate essential metabolic alterations in response to K deficiency, encompassing modifications in glucose metabolism, antioxidant synthesis, osmolyte accumulation, and hormonal regulation. The review also explores the relationships between potassium and other nutrients, specifically nitrogen, phosphorus, and essential micronutrients, and their impact on total plant metabolic networks. Furthermore, we discuss cutting-edge omics integration, precision fertigation, real-time sensor technologies, and machine learning applications that together promise to transform K fertilizer management in PCS. Future directions highlight the advancement of K-efficient cultivars, integrating metabolomic biomarkers in breeding, and overcoming challenges in data interpretation, scalability, and the high cost of metabolomic analyses and phenotyping technologies. Collectively, these insights provide a framework for improving crop health, production, and nutrient utilization efficiency for a more sustainable future in protected cropping.

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来源期刊
Physiologia plantarum
Physiologia plantarum 生物-植物科学
CiteScore
11.00
自引率
3.10%
发文量
224
审稿时长
3.9 months
期刊介绍: Physiologia Plantarum is an international journal committed to publishing the best full-length original research papers that advance our understanding of primary mechanisms of plant development, growth and productivity as well as plant interactions with the biotic and abiotic environment. All organisational levels of experimental plant biology – from molecular and cell biology, biochemistry and biophysics to ecophysiology and global change biology – fall within the scope of the journal. The content is distributed between 5 main subject areas supervised by Subject Editors specialised in the respective domain: (1) biochemistry and metabolism, (2) ecophysiology, stress and adaptation, (3) uptake, transport and assimilation, (4) development, growth and differentiation, (5) photobiology and photosynthesis.
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