中国矿区周边农田土壤重金属污染及土壤微生物群落的响应

Ping Wen , Shi-wei Feng , Jie-Liang Liang , Pu Jia , Bin Liao , Wen-sheng Shu , Jin-tian Li , Xinzhu Yi
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引用次数: 0

摘要

采矿活动会导致附近农田土壤受到严重的重金属污染,影响土壤微生物群落和功能。为了全面研究采矿活动对农田土壤造成的重金属污染及其对土壤微生物群落和功能的影响,我们在全国 29 个采矿点附近的农田采集了 87 个土壤样本,测定了镉、铅、铜和锌的含量。我们的研究结果表明,75.8% 的采样农田受到了不同程度的重金属污染。其中镉的污染最为突出,是其他金属的 2.84 至 5.35 倍。这种污染明显降低了农田土壤中的微生物多样性(P ≤ 0.04),导致错综复杂的微生物共生模块转变为更多的简单模块,表明微生物相互作用网络变得支离破碎。此外,重金属污染导致群落组装中异质选择过程的重要性增加了 10.9%。尽管微生物阿尔法多样性减少,但我们观察到金属抗性基因(MRGs)的多样性和丰度增加,微生物与 MRGs 的相互作用加强。这表明,微生物群落即使发生了改变,也会通过增强冗余来保持功能,这可能有利于微生物活动的保存。我们还发现了在微生物相互作用网络中具有紧密联系的关键类群,其中 58% 的类群在以前的研究中已被确认对土壤健康具有预测作用。这些发现为制定增强土壤健康的策略提供了重要启示,例如促进微生物网络中 "超级连接者 "的存在,以维护微生物群落。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Heavy metal pollution in farmland soils surrounding mining areas in China and the response of soil microbial communities
Mining activities lead to significant heavy metal pollution in nearby farmland soils, affecting the soil's microbial community and functions. To comprehensively investigate the heavy metal contamination in farmland soils caused by mining activities and the impacts on soil microbial communities and functions, we collected 87 soil samples from farmlands near 29 mining sites nationwide, measured levels of cadmium, lead, copper, and zinc. Our findings revealed that 75.8% of the sampled farmlands exhibited varying degrees of heavy metal pollution. Cadmium contamination stood out, being 2.84 to 5.35 times higher compared to other metals. This pollution notably decreased microbial diversity in agricultural soils (P ≤ 0.04), causing a shift from intricate interconnected microbial co-occurrence modules to a higher number of simpler ones, indicating a fragmentation of the microbial interaction network. Additionally, heavy metal contamination led to a 10.9% increase in the importance of the heterogeneous selection process in community assembly. Despite reduced microbial alpha diversity, we observed an increase in the diversity and abundance of metal resistance genes (MRGs) and intensified microbe-MRG interaction. This suggests that microbial communities, even when altered, maintain functionality through enhanced redundancy, which probably facilitates the preservation of microbial activities. We also identified key taxa with intense connectivity in the microbial interaction networks, 58% of which have been recognized in previous studies for their predictive effects on soil health. These findings offer important insights for developing strategies to enhance soil health, such as promoting the presence of "super-connectors" in microbial networks for the maintenance of microbial community.
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来源期刊
Soil security
Soil security Soil Science
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