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人类活动影响下土壤磷循环微生物的全球分布格局。

Global distribution pattern of soil phosphorus-cycling microbes under the influence of human activities.

机构信息

State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, China.

University of Chinese Academy of Sciences, Beijing, China.

出版信息

Glob Chang Biol. 2024 Aug;30(8):e17477. doi: 10.1111/gcb.17477.

Abstract

Human activities have profoundly altered the Earth's phosphorus (P) cycling process and its associated microbial communities, yet their global distribution pattern and response to human influences remain unclear. Here, we estimated the abundances of P-cycling genes from 3321 global soil metagenomic samples and mapped the global distribution of five key P-cycling processes, that is, organic phosphoester hydrolysis, inorganic phosphorus solubilization, two-component system, phosphotransferase system, and transporters. Structural equation modeling and random forest analysis were employed to assess the impact of anthropogenic and environmental factors on the abundance of P-cycling genes. Our findings suggest that although less significant than the climate and soil profile, human-related factors, such as economic activities and population, are important drivers for the variations in P-cycling gene abundance. Notably, the gene abundances were increased parallel to the extent of human intervention, but generally at low and moderate levels of human activities. Furthermore, we identified critical genera, such as Pseudomonas and Lysobacter, which were sensitive to the changes in human activities. This study provides insights into the responses of P-cycling microbes to human activities at a global scale, enhancing our understanding of soil microbial P cycling and underscoring the importance of sustainable human activities in the Earth's biogeochemical cycle.

摘要

人类活动深刻改变了地球的磷(P)循环过程及其相关微生物群落,但它们的全球分布模式和对人类影响的响应仍不清楚。在这里,我们从 3321 个全球土壤宏基因组样本中估计了 P 循环基因的丰度,并绘制了五个关键 P 循环过程的全球分布图谱,即有机磷酸酯水解、无机磷溶解、双组分系统、磷酸转移酶系统和转运体。结构方程模型和随机森林分析被用来评估人为和环境因素对 P 循环基因丰度的影响。我们的研究结果表明,尽管不如气候和土壤剖面重要,但与人类相关的因素,如经济活动和人口,是 P 循环基因丰度变化的重要驱动因素。值得注意的是,基因丰度随着人类干预程度的增加而平行增加,但通常处于低和中等水平的人类活动。此外,我们确定了一些关键的属,如假单胞菌和赖氨酸杆菌,它们对人类活动的变化很敏感。这项研究提供了对全球范围内 P 循环微生物对人类活动响应的见解,增强了我们对土壤微生物 P 循环的理解,并强调了可持续人类活动在地球生物地球化学循环中的重要性。

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