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干旱:一个与情境相关的植物病害抑制和加剧因素。

Drought: A context-dependent damper and aggravator of plant diseases.

机构信息

National Institute of Plant Genome Research, New Delhi, India.

出版信息

Plant Cell Environ. 2024 Jun;47(6):2109-2126. doi: 10.1111/pce.14863. Epub 2024 Feb 26.

DOI:10.1111/pce.14863
PMID:38409868
Abstract

Drought dynamically influences the interactions between plants and pathogens, thereby affecting disease outbreaks. Understanding the intricate mechanistic aspects of the multiscale interactions among plants, pathogens, and the environment-known as the disease triangle-is paramount for enhancing the climate resilience of crop plants. In this review, we systematically compile and comprehensively analyse current knowledge on the influence of drought on the severity of plant diseases. We emphasise that studying these stresses in isolation is not sufficient to predict how plants respond to combined stress from both drought and pathogens. The impact of drought and pathogens on plants is complex and multifaceted, encompassing the activation of antagonistic signalling cascades in response to stress factors. The nature, intensity, and temporality of drought and pathogen stress occurrence significantly influence the outcome of diseases. We delineate the drought-sensitive nodes of plant immunity and highlight the emerging points of crosstalk between drought and defence signalling under combined stress. The limited mechanistic understanding of these interactions is acknowledged as a key research gap in this area. The information synthesised herein will be crucial for crafting strategies for the accurate prediction and mitigation of future crop disease risks, particularly in the context of a changing climate.

摘要

干旱会动态地影响植物和病原体之间的相互作用,从而影响疾病爆发。了解植物、病原体和环境之间多尺度相互作用的复杂机制(即疾病三角)对于提高作物的气候适应能力至关重要。在这篇综述中,我们系统地收集并全面分析了当前关于干旱对植物病害严重程度影响的知识。我们强调,单独研究这些压力因素不足以预测植物对干旱和病原体复合胁迫的反应。干旱和病原体对植物的影响是复杂和多方面的,包括对胁迫因素激活拮抗信号级联反应。干旱和病原体胁迫的性质、强度和时程对疾病的结果有重大影响。我们描绘了植物免疫的干旱敏感节点,并强调了在复合胁迫下干旱和防御信号之间交叉对话的新观点。对这些相互作用的机制理解有限被认为是该领域的一个关键研究空白。综合这些信息对于制定策略以准确预测和减轻未来作物疾病风险至关重要,特别是在气候变化的背景下。

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