A single bacterial genus maintains root growth in a complex microbiome

根际 微生物群 生长素 生物 微生物 根际细菌 拟南芥 拟南芥 植物 细菌 遗传学 基因 突变体
作者
Omri M. Finkel,Isai Salas-González,Gabriel Castrillo,Jonathan M. Conway,Theresa F. Law,Paulo José Pereira Lima Teixeira,Ellie Wilson,Connor R. Fitzpatrick,Corbin D. Jones,Jeffery L. Dangl
出处
期刊:Nature [Nature Portfolio]
卷期号:587 (7832): 103-108 被引量:458
标识
DOI:10.1038/s41586-020-2778-7
摘要

Plants grow within a complex web of species that interact with each other and with the plant1-10. 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 development7-9,11-18. 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.
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