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从功能-分类群网络推断土壤生物地球化学循环耦合

Soil Biogeochemical Cycle Couplings Inferred from a Function-Taxon Network.

作者信息

Ma Bin, Stirling Erinne, Liu Yuanhui, Zhao Kankan, Zhou Jizhong, Singh Brajesh K, Tang Caixian, Dahlgren Randy A, Xu Jianming

机构信息

Institute of Soil and Water Resources and Environmental Science, College of Environmental and Resource Sciences, Zhejiang University, Hangzhou 310058, China.

Zhejiang Provincial Key Laboratory of Agricultural Resources and Environment, Zhejiang University, Hangzhou 310058, China.

出版信息

Research (Wash D C). 2021 Mar 10;2021:7102769. doi: 10.34133/2021/7102769. eCollection 2021.

Abstract

Soil biogeochemical cycles and their interconnections play a critical role in regulating functions and services of environmental systems. However, the coupling of soil biogeochemical processes with their mediating microbes remains poorly understood. Here, we identified key microbial taxa regulating soil biogeochemical processes by exploring biomarker genes and taxa of contigs assembled from metagenomes of forest soils collected along a latitudinal transect (18° N to 48° N) in eastern China. Among environmental and soil factors, soil pH was a sensitive indicator for functional gene composition and diversity. A function-taxon bipartite network inferred from metagenomic contigs identified the microbial taxa regulating coupled biogeochemical cycles between carbon and phosphorus, nitrogen and sulfur, and nitrogen and iron. Our results provide novel evidence for the coupling of soil biogeochemical cycles, identify key regulating microbes, and demonstrate the efficacy of a new approach to investigate the processes and microbial taxa regulating soil ecosystem functions.

摘要

土壤生物地球化学循环及其相互联系在调节环境系统的功能和服务方面发挥着关键作用。然而,土壤生物地球化学过程与其介导微生物之间的耦合仍知之甚少。在此,我们通过探索从中国东部沿纬度梯度(北纬18°至48°)采集的森林土壤宏基因组组装的重叠群的生物标志物基因和分类群,确定了调节土壤生物地球化学过程的关键微生物分类群。在环境和土壤因素中,土壤pH是功能基因组成和多样性的敏感指标。从宏基因组重叠群推断出的功能-分类群二分网络确定了调节碳与磷、氮与硫以及氮与铁之间耦合生物地球化学循环的微生物分类群。我们的结果为土壤生物地球化学循环的耦合提供了新证据,确定了关键调节微生物,并证明了一种研究调节土壤生态系统功能的过程和微生物分类群的新方法的有效性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/44ce/7978035/123c72576e55/RESEARCH2021-7102769.001.jpg

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