Department of Biology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Howard Hughes Medical Institute, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Nature. 2020 Nov;587(7832):103-108. doi: 10.1038/s41586-020-2778-7. Epub 2020 Sep 30.
Plants grow within a complex web of species that interact with each other and with the plant. These interactions are governed by a wide repertoire of chemical signals, and the resulting chemical landscape of the rhizosphere can strongly affect root health and development. Here, to understand how interactions between microorganisms influence root growth in Arabidopsis, we established a model system for interactions between plants, microorganisms and the environment. We inoculated seedlings with a 185-member bacterial synthetic community, manipulated the abiotic environment and measured bacterial colonization of the plant. This enabled us to classify the synthetic community into four modules of co-occurring strains. We deconstructed the synthetic community on the basis of these modules, and identified interactions between microorganisms that determine root phenotype. These interactions primarily involve a single bacterial genus (Variovorax), which completely reverses the severe inhibition of root growth that is induced by a wide diversity of bacterial strains as well as by the entire 185-member community. We demonstrate that Variovorax manipulates plant hormone levels to balance the effects of our ecologically realistic synthetic root community on root growth. We identify an auxin-degradation operon that is conserved in all available genomes of Variovorax and is necessary and sufficient for the reversion of root growth inhibition. Therefore, metabolic signal interference shapes bacteria-plant communication networks and is essential for maintaining the stereotypic developmental programme of the root. Optimizing the feedbacks that shape chemical interaction networks in the rhizosphere provides a promising ecological strategy for developing more resilient and productive crops.
植物生长在一个复杂的物种网络中,这些物种相互作用,与植物相互作用。这些相互作用受广泛的化学信号谱的控制,根际的化学景观可以强烈影响根的健康和发育。在这里,为了了解微生物之间的相互作用如何影响拟南芥的根生长,我们建立了一个植物、微生物和环境相互作用的模型系统。我们用一个由 185 个成员组成的细菌合成群落接种幼苗,操纵非生物环境并测量植物的细菌定植。这使我们能够将合成群落分类为四个共同发生菌株的模块。我们根据这些模块对合成群落进行解构,并确定了决定根表型的微生物相互作用。这些相互作用主要涉及一个单一的细菌属(Variovorax),它完全逆转了由广泛的细菌菌株以及整个 185 个成员群落诱导的根生长的严重抑制。我们证明,Variovorax 操纵植物激素水平,以平衡我们具有生态现实意义的合成根群落对根生长的影响。我们鉴定了一个在所有可用的 Variovorax 基因组中保守的生长素降解操纵子,该操纵子对于逆转根生长抑制是必要和充分的。因此,代谢信号干扰塑造了细菌-植物通讯网络,对于维持根的定型发育程序至关重要。优化塑造根际化学相互作用网络的反馈提供了一种有前途的生态策略,用于开发更有弹性和更具生产力的作物。