Effects of different heavy metal pollution levels on microbial community structure and risk assessment in Zn-Pb mining soils

被引:16
作者
Yang, Ruiqi [1 ]
Ma, Gaogao [2 ]
Liu, Chenglong [2 ]
Wang, Chao [3 ]
Kang, Xiaoyang [1 ]
Wu, Minghui [4 ]
Zhang, Binglin [5 ]
机构
[1] Lanzhou City Univ, Coll Urban Environm, Lanzhou 730070, Peoples R China
[2] Lanzhou Mineral Explorat Inst, Gansu Nonferrous Met Geol Prospecting Bur, Lanzhou 730000, Peoples R China
[3] Lanzhou City Univ, Coll City Construction, Lanzhou 730070, Peoples R China
[4] Yunnan Univ, Univ Yunnan Prov, Sch Ecol & Environm Sci, Key Lab Soil Ecol & Hlth, Kunming 650091, Peoples R China
[5] Northwest Inst Ecoenvironm & Resources, Chinese Acad Sci, State Key Lab Cryospher Sci, Lanzhou 730000, Peoples R China
关键词
Heavy metal pollution; Mineral soil; Spatial analysis; Risk assessment; Microbial community structure; BACTERIAL COMMUNITY; PYROSEQUENCING ANALYSIS; CONTAMINATION; DIVERSITY; BIOCHAR; TOXICITY; INDEXES; COPPER; CHINA; RICE;
D O I
10.1007/s11356-023-26074-6
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Heavy metal contamination in soils seriously threatens human health and aggravates the global pollution burden. In this study, we investigated the risk of heavy metal contamination in soils at a Zn-Pb mineral processing plant in Longnan, China, and the effects of different heavy metal contamination levels on diverse microbial communities. Statistical analysis showed that, except for Ni, the average content of all detected metals (Zn, Pb, As, Cu, Cd, Hg) in the soil was higher than the background value of soil in the study area, which was most seriously contaminated with Pb and As. Comparison of functional divisions showed that heavy metal soil contamination was most serious in the raw material stacking area and the production area. Interpolation analysis showed that areas closer to the wastewater discharge area had higher contents of each heavy metal and were more seriously polluted. From the point of pollution index, the risk of heavy metal soil pollution in the study area was very high (RI = 2845.24, i.e., > 600), with Cd and Hg being the most serious pollutants compared with other heavy metals. Microbial community abundance, diversity, and structure differed at different levels of heavy metal contamination. The community diversity of bacteria decreased with increasing heavy metal concentrations, while no significant change in fungi was observed. Evidence from variation redundancy analysis (RDA) and the Spearman correlation analysis showed that the leading factors affecting microbial community composition were Cu, Cd, Hg, and pH. Actinobacteria and Gemmatimonadetes at the uncontaminated level (CL) were significantly and negatively correlated with the concentrations of Cu, Zn, Cd, and Pb. Proteobacteria and Chloroflexi at the severely contaminated level (SL) were significantly correlated with pH and Hg. However, heavy metal contamination had less effect on most of the dominant fungi. In conclusion, microbial communities such as Proteobacteria, Actinobacteria, Chloroflexi, and Ascomycota showed greater tolerance to heavy metals. These results could be used as important references for the remediation of heavy metal-contaminated soils.
引用
收藏
页码:52749 / 52761
页数:13
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