A single bacterial genus maintains root growth in a complex microbiome.
A single bacterial genus maintains root growth in a complex microbiome.
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植物生长在一个复杂的物种网络中，这些物种相互作用，并与植物相互作用。这些相互作用是由广泛的化学信号库，并产生根际的化学景观可以强烈影响根的健康和发展。在此，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、微生物和环境之间相互作用的模型系统。我们用一个185个成员的细菌合成菌群接种幼苗，操纵非生物环境，并测量了植物的细菌定殖。这使我们能够将合成菌群分为四个共生菌株模块。我们在这些模块的基础上解构了合成群落，并鉴定了决定根系表型的微生物之间的相互作用。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多样性的细菌菌株以及由整个185个成员的群落诱导的对根生长的严重抑制。我们证明了Variovorax操纵植物激素水平来平衡我们的生态现实的合成根系群落对根系生长的影响。我们鉴定了一个生长素降解操纵子，该操纵子在多食菌所有可用的基因组中是保守的，并且对于根生长抑制的逆转是必要的和充分的。因此，代谢信号干扰塑造细菌-植物通信网络，对于维持根的定型发育程序至关重要。优化根际环境中形成化学相互作用网络的反馈，为开发更有弹性和更高产的作物提供了一种有前途的生态策略。
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.
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影响因子：
48
作者：
Callahan BJ;McMurdie PJ;Rosen MJ;Han AW;Johnson AJ;Holmes SP
通讯作者：
Holmes SP
影响因子：
5.5
作者：
CLAUSS, MJ;AARSSEN, LW
通讯作者：
AARSSEN, LW
影响因子：
16.8
作者：
Carlstroem, Charlotte, I;Field, Christopher M.;Vorholt, Julia A.
通讯作者：
Vorholt, Julia A.
影响因子：
9.8
作者：
Finkel, Omri M.;Salas-Gonzalez, Isai;Dangl, Jeffery L.
通讯作者：
Dangl, Jeffery L.
影响因子：
64.8
作者：
Bai, Yang;Mueller, Daniel B.;Schulze-Lefert, Paul
通讯作者：
Schulze-Lefert, Paul