植物与植物相互作用的根源:地下特别鸡尾酒

IF 8.3 2区 生物学 Q1 PLANT SCIENCES Current opinion in plant biology Pub Date : 2024-05-14 DOI:10.1016/j.pbi.2024.102547
Laura Mathieu, Elsa Ballini, Jean-Benoit Morel, Louis-Valentin Méteignier
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引用次数: 0

摘要

植物通过多种过程相互影响,其中由特殊代谢物促进的地下交流发挥着重要作用,但却被忽视了。迄今为止,这些代谢物在邻近植物中诱导的确切目标、作用模式和由此产生的表型在很大程度上仍不为人所知。此外,在自然野外条件和受控实验室环境中,由根系渗出物释放所驱动的正相互作用非常普遍。特别是,种内正相互作用表明,除了植物根部的非自我感知外,还有一种基因型识别机制。这篇综述集中探讨了植物在种内和种间混交中如何通过地下信号相互影响的最新发现。此外,我们还阐述了加强对这些相互作用的了解如何推动生态农业领域的发展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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The root of plant-plant interactions: Belowground special cocktails

Plants interact with each other via a multitude of processes among which belowground communication facilitated by specialized metabolites plays an important but overlooked role. Until now, the exact targets, modes of action, and resulting phenotypes that these metabolites induce in neighboring plants have remained largely unknown. Moreover, positive interactions driven by the release of root exudates are prevalent in both natural field conditions and controlled laboratory environments. In particular, intraspecific positive interactions suggest a genotypic recognition mechanism in addition to non-self perception in plant roots. This review concentrates on recent discoveries regarding how plants interact with one another through belowground signals in intra- and interspecific mixtures. Furthermore, we elaborate on how an enhanced understanding of these interactions can propel the field of agroecology forward.

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来源期刊
Current opinion in plant biology
Current opinion in plant biology 生物-植物科学
CiteScore
16.30
自引率
3.20%
发文量
131
审稿时长
6-12 weeks
期刊介绍: Current Opinion in Plant Biology builds on Elsevier's reputation for excellence in scientific publishing and long-standing commitment to communicating high quality reproducible research. It is part of the Current Opinion and Research (CO+RE) suite of journals. All CO+RE journals leverage the Current Opinion legacy - of editorial excellence, high-impact, and global reach - to ensure they are a widely read resource that is integral to scientists' workflow.
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