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中国攀枝花金沙江流域受钒工业不同程度影响的沉积物中的微生物群落特征分析。

Profiling of Microbial Communities in the Sediments of Jinsha River Watershed Exposed to Different Levels of Impacts by the Vanadium Industry, Panzhihua, China.

机构信息

School of Environmental Studies, China University of Geosciences (Wuhan), Wuhan, China.

State Key Laboratory of Biogeology and Environmental Geology, China University of Geosciences (Wuhan), Wuhan, China.

出版信息

Microb Ecol. 2021 Oct;82(3):623-637. doi: 10.1007/s00248-021-01708-9. Epub 2021 Feb 12.

DOI:10.1007/s00248-021-01708-9
PMID:33580272
Abstract

The mining, smelting, manufacturing, and disposal of vanadium (V) and associated products have caused serious environmental problems. Although the microbial ecology in V-contaminated soils has been intensively studied, the impacted watershed ecosystems have not been systematically investigated. In this study, geochemistry and microbial structure were analyzed along ~30 km of the Jinsha River and its two tributaries across the industrial areas in Panzhihua, one of the primary V mining and production cities in China. Geochemical analyses showed different levels of contamination by metals and metalloids in the sediments, with high degrees of contamination observed in one of the tributaries close to the industrial park. Analyses of the V4 hypervariable region of 16S rRNA genes of the microbial communities in the sediments showed significant decrease in microbial diversity and microbial structure in response to the environmental gradient (e.g., heavy metals, total sulfur, and total nitrogen). Strong association of the taxa (e.g., Thauera, Algoriphagus, Denitromonas, and Fontibacter species) with the metals suggested selection for these potential metal-resistant and/or metabolizing populations. Further co-occurrence network analysis showed that many identified potential metal-mediating species were among the keystone taxa that were closely associated in the same module, suggesting their strong inter-species interactions but relative independence from other microorganisms in the hydrodynamic ecosystems. This study provided new insight into the microbe-environment interactions in watershed ecosystems differently impacted by the V industries. Some of the phylotypes identified in the highly contaminated samples exhibited potential for bioremediation of toxic metals (e.g., V and Cr).

摘要

钒(V)及其相关产品的开采、冶炼、制造和处置造成了严重的环境问题。尽管已经对污染土壤中的微生物生态进行了深入研究,但受影响的流域生态系统尚未得到系统调查。本研究分析了中国主要钒矿开采和生产城市之一攀枝花市金沙江及其两条支流约 30 公里流域的地球化学和微生物结构。地球化学分析表明,沉积物中金属和类金属的污染程度不同,其中一条靠近工业园区的支流污染程度较高。对沉积物中微生物群落的 16S rRNA 基因 V4 高变区进行分析,结果表明,微生物多样性和微生物结构因环境梯度(如重金属、总硫和总氮)而显著降低。分类群(如 Thauera、Algoriphagus、Denitromonas 和 Fontibacter 属)与金属之间的强烈关联表明,这些潜在的耐金属和/或代谢种群是被选择的。进一步的共现网络分析表明,许多鉴定出的潜在金属介导物种是密切相关的关键种,它们存在于同一模块中,表明它们之间存在强烈的种间相互作用,但相对于水动力生态系统中的其他微生物具有相对独立性。本研究为受钒工业不同影响的流域生态系统中的微生物-环境相互作用提供了新的见解。在高度污染的样本中鉴定出的一些类群表现出对有毒金属(如 V 和 Cr)进行生物修复的潜力。

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本文引用的文献

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V Reduction by spp. in Vanadium Mine Tailings.硫杆菌属在钒矿尾矿中的还原作用。
Environ Sci Technol. 2020 Nov 17;54(22):14442-14454. doi: 10.1021/acs.est.0c05328. Epub 2020 Oct 30.
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Microbial vanadate reduction coupled to co-metabolic phenanthrene biodegradation in groundwater.微生物将钒酸盐还原与地下水中共代谢菲生物降解偶联。
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Temporal dynamics of heavy metal distribution and associated microbial community in ambient aerosols from vanadium smelter.
从钒冶炼厂周围大气气溶胶中重金属分布的时间动态及其相关微生物群落。
Sci Total Environ. 2020 Sep 15;735:139360. doi: 10.1016/j.scitotenv.2020.139360. Epub 2020 May 12.
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Vanadium contamination and associated health risk of farmland soil near smelters throughout China.中国各地冶炼厂附近农田土壤的钒污染及相关健康风险。
Environ Pollut. 2020 Aug;263(Pt A):114540. doi: 10.1016/j.envpol.2020.114540. Epub 2020 Apr 8.
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Profiling native aquifer bacteria in a uranium roll-front deposit and their role in biogeochemical cycle dynamics: Insights regarding in situ recovery mining.在铀卷型矿床中对原生含水层细菌进行剖析及其在生物地球化学循环动态中的作用:对原地回收开采的启示。
Sci Total Environ. 2020 Jun 15;721:137758. doi: 10.1016/j.scitotenv.2020.137758. Epub 2020 Mar 6.
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Soil vanadium(V)-reducing related bacteria drive community response to vanadium pollution from a smelting plant over multiple gradients.土壤钒(V)还原相关细菌驱动了矿区周边土壤中钒污染的多梯度群落响应。
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Genome-inferred spatio-temporal resolution of an uncultivated Roizmanbacterium reveals its ecological preferences in groundwater.基于基因组推断的未培养 Roizmanbacterium 的时空分辨率揭示了其在地下水中的生态偏好。
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