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酸性矿山废水对中国西南地区矿山污染场地微生物群落发育及理化性质的影响。

Effects of acid mine drainage on microbial community development and physicochemical properties of mine contaminated sites in Southwest China.

作者信息

Zhang Shihong, Wu Pan, Zhang Jian, Li Qiang, Luo Chuan

机构信息

College of Resources and Environmental Engineering, Guizhou University, Guiyang, 550025, China.

Key Laboratory of Karst Georesources and Environment (Guizhou University), Ministry of Education, Guiyang, 550025, China.

出版信息

Sci Rep. 2025 Jul 1;15(1):20776. doi: 10.1038/s41598-025-05799-z.

Abstract

Investigations of the microbial community structures, potential functions and physicochemical property are useful for risk assessments, microbial monitoring, and the biogeochemical behaviour of contained environment by Acid Mine Drainage (AMD). In this study, nine sediment sampling sites were selected at Panjiaozhuang Town, in Guizhou, China to analyze the pollution conditions and their influences on microorganisms. The physicochemical property results showed significant differences in sediment and water physico chemical properties at different group. Compared to the DS group, further studies revealed that US group (severely affected areas) showed strong acidity and high concentrations of heavy metals and salts. The community structure analysis indicated that AMD might enhance the functional bacteria, such as Thiomonas and Ferrovum (increases of 1.2 and 8.1 percent, respectively), and significantly increased the concentrations of Fe and sulfate through the oxidation of pyrite. The KEGG enrichment analysis demonstrated showed that the AMD promoted the migration of sulfur and Fe into water by enhancing bacterial metabolic pathways, such as dark oxidation of sulfur compounds and dark iron oxidation. This article is of great significance for understanding the transformation of pollutants by AMD and provides reference for subsequent bioremediation.

摘要

对微生物群落结构、潜在功能和物理化学性质的研究,对于酸性矿山排水(AMD)所造成环境的风险评估、微生物监测以及生物地球化学行为具有重要意义。本研究在中国贵州盘江庄镇选取了9个沉积物采样点,以分析污染状况及其对微生物的影响。物理化学性质结果表明,不同组的沉积物和水体物理化学性质存在显著差异。与DS组相比,进一步研究发现,US组(受严重影响区域)呈现强酸性,重金属和盐类浓度较高。群落结构分析表明,AMD可能会增强功能细菌,如嗜硫杆菌属和铁氧化菌属(分别增加1.2%和8.1%),并通过黄铁矿氧化显著提高铁和硫酸盐的浓度。KEGG富集分析表明,AMD通过增强细菌代谢途径,如硫化合物的暗氧化和暗铁氧化,促进了硫和铁向水中的迁移。本文对于理解AMD对污染物的转化具有重要意义,并为后续生物修复提供参考。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5751/12218272/a3cd8adfba57/41598_2025_5799_Fig1_HTML.jpg

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