Department of Plant Pathology and Microbiology, Institute of Environmental Science, Robert H. Smith Faculty of Agriculture, Food, and Environment, The Hebrew University of Jerusalem, Rehovot 7610001, Israel.
Department of Plant Pathology and Microbiology, Institute of Environmental Science, Robert H. Smith Faculty of Agriculture, Food, and Environment, The Hebrew University of Jerusalem, Rehovot 7610001, Israel.
Curr Opin Microbiol. 2023 Apr;72:102283. doi: 10.1016/j.mib.2023.102283. Epub 2023 Mar 1.
Plant-microbe interactions are important for both physiological and pathological processes. Despite the significance of plant-microbe interactions, microbe-microbe interactions themselves represent an important, complex, dynamic network that warrants deeper investigation. To understand how microbe-microbe interactions affect plant microbiomes, one approach is to systematically understand all the factors involved in successful engineering of a microbial community. This follows the physicist Richard Feynman's declaration: "what I cannot create, I do not understand". This review highlights recent studies that focus on aspects that we believe are important for building (ergo understanding) microbe-microbe interactions in the plant environment, including pairwise screening, intelligent application of cross-feeding models, spatial distributions of microbes, and understudied interactions between bacteria and fungi, phages, and protists. We offer a framework for systematic collection and centralized integration of data of plant microbiomes that could organize all the factors that can help ecologists understand microbiomes and help synthetic ecologists engineer beneficial microbiomes.
植物-微生物相互作用对生理和病理过程都很重要。尽管植物-微生物相互作用意义重大,但微生物-微生物相互作用本身代表了一个重要、复杂且动态的网络,值得更深入的研究。为了了解微生物-微生物相互作用如何影响植物微生物组,一种方法是系统地理解成功构建微生物群落所涉及的所有因素。这遵循了物理学家理查德·费曼的宣言:“我不能创造的,我不理解”。这篇综述强调了最近的研究,这些研究集中在我们认为对于在植物环境中构建(因此是理解)微生物-微生物相互作用很重要的方面,包括成对筛选、交叉喂养模型的智能应用、微生物的空间分布以及细菌和真菌、噬菌体和原生动物之间研究不足的相互作用。我们为系统地收集和集中整合植物微生物组的数据提供了一个框架,这些数据可以组织所有有助于生态学家理解微生物组并帮助合成生态学家构建有益微生物组的因素。