Redox Gradient Shapes the Chemical Composition of Peatland Microbial Communities

IF 2.7 2区 地球科学 Q2 BIOLOGY
Geobiology Pub Date : 2024-10-30 DOI:10.1111/gbi.70001
Vincent P. Milesi
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引用次数: 0

Abstract

The response of soil carbon to climate change and anthropogenic forcing depends on the relationship between the physicochemical variables of the environment and microbial communities. In anoxic soils that store large amounts of organic carbon, it can be hypothesized that the low amount of catabolic energy available leads microbial organisms to minimize the energy costs of biosynthesis, which may shape the composition of microbial communities. To test this hypothesis, thermodynamic modeling was used to assess the link between redox gradients in the ombrotrophic peatland of the Marcell Experimental Forest (Minnesota, USA) and the chemical and taxonomic composition of microbial communities. The average amino acid composition of community-level proteins, called hereafter model proteins, was calculated from shotgun metagenomic sequencing. The carbon oxidation state of model proteins decreases linearly from −0.14 at 10 cm depth to −0.17 at 150 cm depth. Calculating equilibrium activities of model proteins for a wide range of chemical conditions allows identification of the redox potential of maximum chemical activity. Consistent with redox measurements across peat soils, this model Eh decreases logarithmically from an average value of 300 mV at 10 cm depth, close to the stability domain of goethite relative to Fe2+, to an average value of −200 mV at 150 cm, within the stability domain of CH4 relative to CO2. The correlation identified between the taxonomic abundance and the carbon oxidation state of model proteins enables predicting the evolution of taxonomic abundance as a function of model Eh. The model taxonomic abundance is consistent with the measured gene and taxonomic abundance, which evolves from aerobic bacteria at the surface including Acidobacteria, Proteobacteria, and Verrumicrobia, to anaerobes at depth dominated by Crenarchaeota. These results indicate that the thermodynamic forcing imposed by redox gradient across peat soils shapes both the chemical and taxonomic composition of microbial communities. By providing a mechanistic understanding of the relationship between microbial community and environmental conditions, this work sheds new light on the mechanisms that govern soil microbial life and opens up prospects for predicting geochemical and microbial evolution in changing environments.

Abstract Image

氧化还原梯度塑造泥炭地微生物群落的化学组成
土壤碳对气候变化和人为影响的反应取决于环境的物理化学变量与微生物群落之间的关系。在储存大量有机碳的缺氧土壤中,可以假设由于分解能量较低,微生物有机体会将生物合成的能量成本降至最低,这可能会影响微生物群落的组成。为了验证这一假设,我们利用热力学模型评估了马塞尔实验森林(美国明尼苏达州)腐生泥炭地的氧化还原梯度与微生物群落的化学成分和分类组成之间的联系。群落级蛋白质(以下称为模式蛋白质)的平均氨基酸组成是通过猎枪元基因组测序计算得出的。模式蛋白质的碳氧化状态从 10 厘米深的-0.14 到 150 厘米深的-0.17 呈线性下降。通过计算模型蛋白质在各种化学条件下的平衡活性,可以确定化学活性最大的氧化还原电位。与泥炭土中的氧化还原测量结果一致,该模型蛋白的氧化还原电位从 10 厘米深度处的平均值 300 mV(接近鹅卵石相对于 Fe2+ 的稳定域)到 150 厘米深度处的平均值-200 mV(在 CH4 相对于 CO2 的稳定域内)呈对数递减。分类丰度与模型蛋白质碳氧化态之间的相关性可以预测分类丰度随模型 Eh 变化的情况。模型分类丰度与测得的基因和分类丰度一致,即从地表的需氧细菌(包括酸细菌、蛋白质细菌和Verrumicrobia)演化为深层的厌氧细菌(以Crenarchaeota为主)。这些结果表明,泥炭土壤中氧化还原梯度施加的热动力迫使微生物群落的化学成分和分类组成发生变化。通过从机制上理解微生物群落与环境条件之间的关系,这项研究揭示了支配土壤微生物生命的新机制,为预测变化环境中的地球化学和微生物演化开辟了前景。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Geobiology
Geobiology 生物-地球科学综合
CiteScore
6.80
自引率
5.40%
发文量
56
审稿时长
3 months
期刊介绍: The field of geobiology explores the relationship between life and the Earth''s physical and chemical environment. Geobiology, launched in 2003, aims to provide a natural home for geobiological research, allowing the cross-fertilization of critical ideas, and promoting cooperation and advancement in this emerging field. We also aim to provide you with a forum for the rapid publication of your results in an international journal of high standing. We are particularly interested in papers crossing disciplines and containing both geological and biological elements, emphasizing the co-evolutionary interactions between life and its physical environment over geological time. Geobiology invites submission of high-quality articles in the following areas: Origins and evolution of life Co-evolution of the atmosphere, hydrosphere and biosphere The sedimentary rock record and geobiology of critical intervals Paleobiology and evolutionary ecology Biogeochemistry and global elemental cycles Microbe-mineral interactions Biomarkers Molecular ecology and phylogenetics.
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