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功能机制决定了土壤微生物群落对环境变化的响应。

Functional regimes define soil microbiome response to environmental change.

作者信息

Lee Kiseok Keith, Liu Siqi, Crocker Kyle, Wang Jocelyn, Huggins David R, Tikhonov Mikhail, Mani Madhav, Kuehn Seppe

机构信息

Department of Ecology and Evolution, The University of Chicago, Chicago, IL, USA.

Center for the Physics of Evolving Systems, The University of Chicago, Chicago, IL, USA.

出版信息

Nature. 2025 Jul 16. doi: 10.1038/s41586-025-09264-9.

Abstract

The metabolic activity of soil microbiomes has a central role in global nutrient cycles. Understanding how soil metabolic activity responds to climate-driven environmental perturbations is a key challenge. However, the ecological, spatial and chemical complexity of soils impedes understanding how these communities respond to perturbations. Here we address this complexity by combining dynamic measurements of respiratory nitrate metabolism with modelling to reveal functional regimes that define soil responses to environmental change. Measurements across more than 1,500 soil microcosms subjected to pH perturbations reveal regimes in which distinct mechanisms govern metabolite dynamics. A minimal model with two parameters, biomass activity and growth-limiting nutrient availability, predicts nitrate utilization dynamics across soils and pH perturbations. Parameter shifts under perturbation reveal three functional regimes, each linked to distinct mechanisms: (1) an acidic regime marked by cell death and suppressed metabolism; (2) a nutrient-limited regime in which dominant taxa exploit matrix-released nutrients; and (3) a resurgent growth regime driven by exponential growth of rare taxa in nutrient-rich conditions. We validated these model-derived mechanisms with nutrient measurements, amendment experiments, sequencing and isolate studies. Additional experiments and meta-analyses suggest that functional regimes are widespread in pH-perturbed soils.

摘要

土壤微生物群落的代谢活动在全球养分循环中起着核心作用。了解土壤代谢活动如何响应气候驱动的环境扰动是一项关键挑战。然而,土壤的生态、空间和化学复杂性阻碍了我们理解这些群落如何对扰动做出反应。在这里,我们通过将呼吸性硝酸盐代谢的动态测量与建模相结合来解决这种复杂性,以揭示定义土壤对环境变化响应的功能状态。对超过1500个受pH值扰动的土壤微观世界进行的测量揭示了不同机制控制代谢物动态的状态。一个具有生物量活性和生长限制养分可用性这两个参数的最小模型预测了不同土壤和pH值扰动下的硝酸盐利用动态。扰动下的参数变化揭示了三种功能状态,每种状态都与不同机制相关:(1)以细胞死亡和代谢受抑制为特征的酸性状态;(2)优势类群利用基质释放养分的养分限制状态;(3)由稀有类群在营养丰富条件下的指数生长驱动的复苏生长状态。我们通过养分测量、添加实验、测序和分离研究验证了这些模型推导的机制。额外的实验和荟萃分析表明,功能状态在受pH值扰动的土壤中广泛存在。

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