Synergistic effects of antimony and arsenic contaminations on bacterial, archaeal and fungal communities in the rhizosphere of Miscanthus sinensis: Insights for nitrification and carbon mineralization.
Synergistic effects of antimony and arsenic contaminations on bacterial, archaeal and fungal communities in the rhizosphere of Miscanthus sinensis: Insights for nitrification and carbon mineralization.
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DOI：
10.1016/j.jhazmat.2021.125094
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发表时间：
2021-01
影响因子：
13.6
通讯作者：
Huang Yu;Xiafei Zheng;Wanlin Weng;Xizhe Yan;Pubo Chen;Xingyu Liu;Tao Peng;Qiu-shuang Zhong-Qiu-shuang-Zh
中科院分区：
文献类型：
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作者：
Huang Yu;Xiafei Zheng;Wanlin Weng;Xizhe Yan;Pubo Chen;Xingyu Liu;Tao Peng;Qiu-shuang Zhong-Qiu-shuang-Zh
重金属对土壤微生物群落的影响是重金属污染环境中养分循环的研究热点。然而，锑（Sb）和砷（As）污染如何协同影响植物根际微生物驱动的生态过程知之甚少。本文通过对土壤碳、氮循环的研究，探讨了锑、砷污染对先锋植物芒草（Miscanthus sinensis）根际细菌、古菌和真菌群落的协同效应。高污染（HC）土壤表现出显着较低的土壤酶活性，碳矿化和硝化潜力比低污染（LC）环境。多变量分析表明，Sb和As组分、pH和有效磷（AP）是影响微生物群落结构和聚集的主要因素，而Sb和As污染降低了微生物的α多样性和种间相互作用。随机森林分析表明，微生物的基石类群提供了更好的预测土壤碳矿化和硝化作用下的Sb和As污染。偏最小二乘通径模型表明，Sb和As污染通过影响土壤微生物生物量、α多样性和土壤酶活性，降低土壤碳矿化和硝化作用。本研究加深了我们对Sb和As污染影响微生物碳氮循环的理解。
The impacts of metal(loids) on soil microbial communities are research focuses to understand nutrient cycling in heavy metal-contaminated environments. However, how antimony (Sb) and arsenic (As) contaminations synergistically affect microbially-driven ecological processes in the rhizosphere of plants is poorly understood. Here we examined the synergistic effects of Sb and As contaminations on bacterial, archaeal and fungal communities in the rhizosphere of a pioneer plant (Miscanthus sinensis) by focusing on soil carbon and nitrogen cycle. High contamination (HC) soils showed significantly lower levels of soil enzymatic activities, carbon mineralization and nitrification potential than low contamination (LC) environments. Multivariate analysis indicated that Sb and As fractions, pH and available phosphorus (AP) were the main factors affecting the structure and assembly of microbial communities, while Sb and As contaminations reduced the microbial alpha-diversity and interspecific interactions. Random forest analysis showed that microbial keystone taxa provided better predictions for soil carbon mineralization and nitrification under Sb and As contaminations. Partial least squares path modeling indicated that Sb and As contaminations could reduce the carbon mineralization and nitrification by influencing the microbial biomass, alpha-diversity and soil enzyme activities. This study enhances our understanding of microbial carbon and nitrogen cycling affected by Sb and As contaminations.