<br>微生物进化——土壤碳循环的一个未被充分认识的驱动因素,Global Change Biology

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微生物进化——土壤碳循环的一个未被充分认识的驱动因素
Global Change Biology ( IF 10.8 ) Pub Date : 2024-04-02 , DOI: 10.1111/gcb.17268
Elsa Abs _{1,

2} , Alexander B Chase ₃ , Stefano Manzoni ₄ , Philippe Ciais ₂ , Steven D Allison _{1,

5}

Affiliation

尽管在预测全球变化的生态影响方面已经取得了实质性进展，但对进化影响的预测却落后了。在土壤生态系统中，微生物是碳循环的主要能量驱动因素；然而，微生物也能够在与全球变化速度相当的时间尺度上进化。鉴于土壤生态系统在全球碳循环中的重要性，我们评估了微生物进化对该系统中碳气候反馈的潜在影响。我们首先回顾了有关微生物进化应对全球变化及其对土壤碳动态的具体影响的知识现状。通过这种整合，我们综合了一个路线图，详细说明了如何将微生物进化整合到生态系统生物地球化学模型中。具体来说，我们强调了微尺度机械土壤碳模型的重要性，包括选择适当的进化模型（例如，适应性动力学、定量遗传学）、用“组学”和实验数据验证模型预测、将微生物适应生态系统水平过程进行扩展，以及验证与生态系统规模的测量。拟议的步骤将需要大量的科学资源投资，并且可能需要 10 至 20 年才能完全实施。然而，通过应用多尺度综合方法，我们将推进微生物进化与生态系统的预测性理解的整合，明确其在更广泛的环境变化背景下的作用和影响。

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Microbial evolution—An under‐appreciated driver of soil carbon cycling

Although substantial advances in predicting the ecological impacts of global change have been made, predictions of the evolutionary impacts have lagged behind. In soil ecosystems, microbes act as the primary energetic drivers of carbon cycling; however, microbes are also capable of evolving on timescales comparable to rates of global change. Given the importance of soil ecosystems in global carbon cycling, we assess the potential impact of microbial evolution on carbon‐climate feedbacks in this system. We begin by reviewing the current state of knowledge concerning microbial evolution in response to global change and its specific effect on soil carbon dynamics. Through this integration, we synthesize a roadmap detailing how to integrate microbial evolution into ecosystem biogeochemical models. Specifically, we highlight the importance of microscale mechanistic soil carbon models, including choosing an appropriate evolutionary model (e.g., adaptive dynamics, quantitative genetics), validating model predictions with ‘omics’ and experimental data, scaling microbial adaptations to ecosystem level processes, and validating with ecosystem‐scale measurements. The proposed steps will require significant investment of scientific resources and might require 10–20 years to be fully implemented. However, through the application of multi‐scale integrated approaches, we will advance the integration of microbial evolution into predictive understanding of ecosystems, providing clarity on its role and impact within the broader context of environmental change.

更新日期：2024-04-02

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