School of Water Resources and Environment, Research Center of Environmental Science and Engineering, China University of Geosciences (Beijing), 29 Xueyuan Road, Haidian District, 100083, Beijing, China.
School of Water Resources and Environment, Research Center of Environmental Science and Engineering, China University of Geosciences (Beijing), 29 Xueyuan Road, Haidian District, 100083, Beijing, China.
J Hazard Mater. 2023 Jul 5;453:131301. doi: 10.1016/j.jhazmat.2023.131301. Epub 2023 Mar 27.
Mining and smelting activities have brought potentially serious heavy metal(loid)s pollution to their surrounding locale. However, studies on microbial metabolic activities, community structure, and adaptation in soils proximal to non-ferrous metal mining and smelting areas are still lacking. Here the effects of biotic and abiotic characteristics of soil taken from sites surrounding inactive and active non-ferrous metal mine smelting facilities on microbial enzyme activity, microcalorimetry, and high-throughput sequencing of 16S rRNA gene barcoding were studied. Data indicated that the soils were heavily polluted by toxic metal(loid)s, of which As and Cd were the main contaminants. Microbial acid phosphatase activity and microcalorimetric total heat value were sensitive metabolic indicators in the studied areas. Actinobacteriota had the highest relative abundance, followed by Proteobacteria, Chloroflexi, and Acidobacteria. Microbial metabolic activity, bacterial community structure and phenotype varied between inactive and active sites (p < 0.05). Such analyses indicated that electrical conductivity, total As, Cu, and Mn contents, and bioavailable As, Cu, Cd, and Mn concentrations were key factors determining microbial activities, bacterial community structure, and phenotypes. Knowledge of microbial adaptation to heavy metal stressors is important for better understanding the aerial transfer of fugitive heavy metal(loid)s (and possibly microbes) and for designing future strategies for improved soil bioremediation.
采矿和冶炼活动给周边地区带来了潜在的严重重金属(类)污染。然而,对于非有色金属采矿和冶炼区附近土壤中微生物代谢活动、群落结构和适应的研究仍然缺乏。本研究从非活性和活性有色金属矿冶设施周围的土壤中提取了生物和非生物特性,研究了这些特性对微生物酶活性、微量热和 16S rRNA 基因条码高通量测序的影响。数据表明,土壤受到有毒金属(类)的严重污染,其中 As 和 Cd 是主要污染物。微生物酸性磷酸酶活性和微量热总热值是研究区域中敏感的代谢指标。放线菌门的相对丰度最高,其次是变形菌门、绿弯菌门和酸杆菌门。微生物代谢活性、细菌群落结构和表型在非活性和活性部位之间存在差异(p < 0.05)。这些分析表明,电导率、总 As、Cu 和 Mn 含量以及有效态 As、Cu、Cd 和 Mn 浓度是决定微生物活性、细菌群落结构和表型的关键因素。了解微生物对重金属胁迫的适应对于更好地理解逸散性重金属(类)(可能还有微生物)的空气迁移以及设计未来的土壤生物修复策略非常重要。