Suppr超能文献

胁迫在植物-微生物通讯进化中的作用:一个视角。

Coercion in the Evolution of Plant-Microbe Communication: A Perspective.

机构信息

1 Plant Biology Department, Michigan State University, East Lansing, U.S.A.

2 Department Department of Plant Pathology; and.

出版信息

Mol Plant Microbe Interact. 2018 Aug;31(8):789-794. doi: 10.1094/MPMI-11-17-0276-CR. Epub 2018 Jun 6.

Abstract

Plants and microbes are dependent on chemical signals as a means of interkingdom communication. There are two predicted paths for the evolution of these signals. Ritualization is the oft-assumed pathway for the evolution of plant-microbe communication systems. In this process, chemical signals, which benefit both receiver and sender, evolve from chemical cues, which benefit only the receiver. However, plant-microbe signaling may evolve from coercive interactions as well, a process known as sensory manipulation. Here, we aim to highlight the prevalence of coercive interactions and discuss sensory manipulation in the context of plant-microbe interactions. We present two examples of stabilized coercion: microbial coercion of plants via the release of phytohormones and plant coercion of microbes via manipulation of quorum-sensing compounds. Furthermore, we provide an evolutionary framework for the emergence of signaling from coercive plant-microbe interactions through the process of sensory manipulation. We hope that researchers will recognize the relevance of coercive interactions in plant-microbe systems and consider sensory manipulation as a plausible evolutionary trajectory for the emergence of plant-microbe signaling.

摘要

植物和微生物依赖化学信号作为它们之间交流的一种手段。这些信号的进化有两种预测途径。仪式化是植物-微生物通讯系统进化的常见途径。在这个过程中,对接收者和发送者都有益的化学信号,是从只对接收者有益的化学提示演变而来的。然而,植物-微生物信号也可能是从强制性相互作用进化而来的,这一过程被称为感觉操纵。在这里,我们旨在强调强制性相互作用的普遍性,并讨论植物-微生物相互作用中的感觉操纵。我们提出了两个稳定胁迫的例子:微生物通过释放植物激素对植物的胁迫,以及植物通过操纵群体感应化合物对微生物的胁迫。此外,我们通过感觉操纵过程,为从强制性植物-微生物相互作用中出现信号提供了一个进化框架。我们希望研究人员能够认识到强制性相互作用在植物-微生物系统中的相关性,并将感觉操纵视为植物-微生物信号出现的一种合理的进化轨迹。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验